SYMBOL INDEX (17995 symbols across 2174 files)

FILE: VO_Module/demo.py
  function show_image (line 20) | def show_image(image):
  function image_stream (line 25) | def image_stream(imagedir, calib, stride):

FILE: VO_Module/droid_slam/data_readers/augmentation.py
  class RGBDAugmentor (line 7) | class RGBDAugmentor:
    method __init__ (line 10) | def __init__(self, crop_size):
    method resize_sparse_flow_map (line 21) | def resize_sparse_flow_map(self, flow, valid, fx=1.0, fy=1.0):
    method spatial_transform (line 57) | def spatial_transform(self, images, depths, poses, intrinsics,
    method spatial_transform_only_pose (line 141) | def spatial_transform_only_pose(self, images, poses, intrinsics):
    method color_transform (line 165) | def color_transform(self, images):
    method __call__ (line 172) | def __call__(self, images, poses, depths, intrinsics,

FILE: VO_Module/droid_slam/data_readers/base.py
  class RGBDDataset (line 26) | class RGBDDataset(data.Dataset):
    method __init__ (line 27) | def __init__(self, name, datapath, n_frames=4, crop_size=[384, 512],
    method _build_dataset_index (line 67) | def _build_dataset_index(self):
    method image_read (line 84) | def image_read(image_file):
    method depth_read (line 88) | def depth_read(depth_file):
    method build_frame_graph (line 91) | def build_frame_graph(self, poses, depths, intrinsics, f=16, max_flow=...
    method __getitem__ (line 114) | def __getitem__(self, index):
    method __len__ (line 272) | def __len__(self):
    method __imul__ (line 275) | def __imul__(self, x):
    method build_motion_masks (line 279) | def build_motion_masks(self, poses, disps, intrinsics, fo_flows, ba_fl...

FILE: VO_Module/droid_slam/data_readers/factory.py
  function dataset_factory (line 19) | def dataset_factory(dataset_list, **kwargs):
  function create_datastream (line 38) | def create_datastream(dataset_path, **kwargs):
  function create_imagestream (line 66) | def create_imagestream(dataset_path, **kwargs):
  function create_stereostream (line 74) | def create_stereostream(dataset_path, **kwargs):
  function create_rgbdstream (line 82) | def create_rgbdstream(dataset_path, **kwargs):

FILE: VO_Module/droid_slam/data_readers/replica.py
  class Replica (line 18) | class Replica(RGBDDataset):
    method __init__ (line 24) | def __init__(self, mode='training', **kwargs):
    method is_test_scene (line 30) | def is_test_scene(scene):
    method _build_dataset (line 34) | def _build_dataset(self):
    method calib_read (line 60) | def calib_read():
    method image_read (line 64) | def image_read(image_file):
    method depth_read (line 68) | def depth_read(depth_file):
  class ReplicaStream (line 75) | class ReplicaStream(RGBDStream):
    method __init__ (line 76) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 79) | def _build_dataset_index(self):
    method calib_read (line 102) | def calib_read(datapath):
    method image_read (line 106) | def image_read(image_file):
  class ReplicaTestStream (line 110) | class ReplicaTestStream(RGBDStream):
    method __init__ (line 111) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 114) | def _build_dataset_index(self):
    method calib_read (line 135) | def calib_read(datapath):
    method image_read (line 139) | def image_read(image_file):

FILE: VO_Module/droid_slam/data_readers/replica_utils.py
  function get_replica_cam_list (line 8) | def get_replica_cam_list(cam_list_dir, base_dir):
  function quat_to_rmat (line 23) | def quat_to_rmat(quat):
  function rmat_to_quad (line 38) | def rmat_to_quad(mat):
  function get_trajectories_quad (line 44) | def get_trajectories_quad(cam_list, norm_val=1):
  function get_trajectories_mat (line 56) | def get_trajectories_mat(cam_list, norm_val=1):
  function build_track_pred_file (line 70) | def build_track_pred_file(gt_time_dir, pred_dir, trajectories, keyframe_...
  function build_track_pred_file_notime (line 89) | def build_track_pred_file_notime(pred_dir, trajectories, keyframe_freq=1):
  function build_timestamps (line 102) | def build_timestamps(file_dir, time_num, interval=0.05):
  function build_depth_npy (line 111) | def build_depth_npy(root_dir, scene_dir, dep_scale):

FILE: VO_Module/droid_slam/data_readers/rgbd_utils.py
  function parse_list (line 11) | def parse_list(filepath, skiprows=0):
  function associate_frames (line 18) | def associate_frames(tstamp_image, tstamp_depth, tstamp_pose, max_dt=1.0):
  function loadtum (line 38) | def loadtum(datapath, frame_rate=-1):
  function all_pairs_distance_matrix (line 94) | def all_pairs_distance_matrix(poses, beta=2.5):
  function pose_matrix_to_quaternion (line 104) | def pose_matrix_to_quaternion(pose):
  function compute_distance_matrix_flow (line 110) | def compute_distance_matrix_flow(poses, disps, intrinsics, need_inv=True):
  function compute_distance_matrix_flow2 (line 155) | def compute_distance_matrix_flow2(poses, disps, intrinsics, beta=0.4):

FILE: VO_Module/droid_slam/data_readers/stream.py
  class RGBDStream (line 18) | class RGBDStream(data.Dataset):
    method __init__ (line 19) | def __init__(self, datapath, frame_rate=-1, image_size=[384,512], crop...
    method image_read (line 27) | def image_read(image_file):
    method depth_read (line 31) | def depth_read(depth_file):
    method __len__ (line 34) | def __len__(self):
    method __getitem__ (line 37) | def __getitem__(self, index):
  class ImageStream (line 75) | class ImageStream(data.Dataset):
    method __init__ (line 76) | def __init__(self, datapath, intrinsics, rate=1, image_size=[384,512]):
    method __len__ (line 93) | def __len__(self):
    method image_read (line 97) | def image_read(imfile):
    method __getitem__ (line 100) | def __getitem__(self, index):
  class StereoStream (line 127) | class StereoStream(data.Dataset):
    method __init__ (line 128) | def __init__(self, datapath, intrinsics, rate=1, image_size=[384,512],
    method __len__ (line 150) | def __len__(self):
    method image_read (line 154) | def image_read(imfile, imap=None):
    method __getitem__ (line 160) | def __getitem__(self, index):

FILE: VO_Module/droid_slam/data_readers/tartan.py
  class TartanAir (line 18) | class TartanAir(RGBDDataset):
    method __init__ (line 23) | def __init__(self, mode='training', **kwargs):
    method is_test_scene (line 29) | def is_test_scene(scene):
    method _build_dataset (line 33) | def _build_dataset(self):
    method calib_read (line 64) | def calib_read():
    method image_read (line 68) | def image_read(image_file):
    method depth_read (line 72) | def depth_read(depth_file):
    method dymask_read (line 79) | def dymask_read(mask_file):
  class TartanAirStream (line 85) | class TartanAirStream(RGBDStream):
    method __init__ (line 86) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 89) | def _build_dataset_index(self):
    method calib_read (line 112) | def calib_read(datapath):
    method image_read (line 116) | def image_read(image_file):
  class TartanAirTestStream (line 120) | class TartanAirTestStream(RGBDStream):
    method __init__ (line 121) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 124) | def _build_dataset_index(self):
    method calib_read (line 146) | def calib_read(datapath):
    method image_read (line 150) | def image_read(image_file):

FILE: VO_Module/droid_slam/data_readers/vkitti2.py
  function rmat_to_quad (line 18) | def rmat_to_quad(mat):
  class VKitti2 (line 23) | class VKitti2(RGBDDataset):
    method __init__ (line 34) | def __init__(self, split_mode='train', foo=False, scene_id='Scene01', ...
    method is_test_scene (line 42) | def is_test_scene(self, scene):
    method _build_dataset (line 45) | def _build_dataset(self):
    method calib_read (line 107) | def calib_read():
    method image_read (line 111) | def image_read(image_file):
    method depth_read (line 115) | def depth_read(depth_file):
    method flow_read (line 124) | def flow_read(flow_file):
    method dymask_read (line 134) | def dymask_read(mask_file):
    method segment_read (line 139) | def segment_read(segment_file):
  class VKitti2Stream (line 144) | class VKitti2Stream(RGBDStream):
    method __init__ (line 145) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 148) | def _build_dataset_index(self):
    method calib_read (line 171) | def calib_read(datapath):
    method image_read (line 175) | def image_read(image_file):
  class VKitti2TestStream (line 179) | class VKitti2TestStream(RGBDStream):
    method __init__ (line 180) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 183) | def _build_dataset_index(self):
    method calib_read (line 205) | def calib_read(datapath):
    method image_read (line 209) | def image_read(image_file):

FILE: VO_Module/droid_slam/depth_video.py
  class DepthVideo (line 13) | class DepthVideo:
    method __init__ (line 14) | def __init__(self, image_size=[480, 640], buffer=1024, device="cuda:0"...
    method get_lock (line 61) | def get_lock(self):
    method __item_setter (line 64) | def __item_setter(self, index, item):
    method __setitem__ (line 96) | def __setitem__(self, index, item):
    method __getitem__ (line 100) | def __getitem__(self, index):
    method append (line 118) | def append(self, *item):
    method format_indicies (line 125) | def format_indicies(ii, jj, device):
    method upsample (line 139) | def upsample(self, ix, mask):
    method normalize (line 145) | def normalize(self):
    method reproject (line 154) | def reproject(self, ii, jj):
    method distance (line 165) | def distance(self, ii=None, jj=None, beta=0.3, bidirectional=True):
    method ba (line 197) | def ba(self, target, weight, eta, ii, jj, t0=1, t1=None, itrs=2, lm=1e...

FILE: VO_Module/droid_slam/droid.py
  class Droid (line 20) | class Droid:
    method __init__ (line 21) | def __init__(self, args):
    method load_weights (line 52) | def load_weights(self, weights, use_aff_bri=False):
    method track (line 61) | def track(self, tstamp, image, depth=None, intrinsics=None, segments=N...
    method terminate (line 74) | def terminate(self, stream=None, need_inv=True):
    method get_traj (line 94) | def get_traj(self):
    method get_depth (line 98) | def get_depth(self):
    method get_flow (line 102) | def get_flow(self):
  function upsample_inter (line 106) | def upsample_inter(mask):

FILE: VO_Module/droid_slam/droid_backend.py
  class DroidBackend (line 9) | class DroidBackend:
    method __init__ (line 10) | def __init__(self, net, video, args):
    method __call__ (line 25) | def __call__(self, steps=12):

FILE: VO_Module/droid_slam/droid_frontend.py
  class DroidFrontend (line 9) | class DroidFrontend:
    method __init__ (line 10) | def __init__(self, net, video, args):
    method __update (line 36) | def __update(self):
    method __initialize (line 72) | def __initialize(self):
    method __call__ (line 103) | def __call__(self):

FILE: VO_Module/droid_slam/droid_net.py
  function cvx_upsample (line 23) | def cvx_upsample(data, mask):
  function upsample_dim_1 (line 40) | def upsample_dim_1(disp, mask):
  function upsample_dim_x (line 47) | def upsample_dim_x(flow, mask):
  function upsample_inter (line 54) | def upsample_inter(mask):
  class GraphAgg (line 64) | class GraphAgg(nn.Module):
    method __init__ (line 65) | def __init__(self):
    method forward (line 79) | def forward(self, net, ii):
  class UpdateModule (line 98) | class UpdateModule(nn.Module):
    method __init__ (line 99) | def __init__(self):
    method forward (line 131) | def forward(self, net, inp, corr, flow=None, ii=None, jj=None):
  class DynamicUpdateModule (line 166) | class DynamicUpdateModule(nn.Module):
    method __init__ (line 167) | def __init__(self, use_aff_bri=False):
    method do_filter (line 227) | def do_filter(self, lay, weight, delta_dy, delta_m, segments):
    method forward (line 256) | def forward(self, net, inp, corr, flow=None,
  class DroidNet (line 317) | class DroidNet(nn.Module):
    method __init__ (line 318) | def __init__(self, use_aff_bri=False):
    method extract_features (line 325) | def extract_features(self, images):
    method forward (line 342) | def forward(self, Gs, images, disps, intrinsics, graph=None, num_steps...

FILE: VO_Module/droid_slam/factor_graph.py
  class FactorGraph (line 12) | class FactorGraph:
    method __init__ (line 13) | def __init__(self, video, update_op, device="cuda:0", corr_impl="volum...
    method __filter_repeated_edges (line 65) | def __filter_repeated_edges(self, ii, jj):
    method print_edges (line 78) | def print_edges(self):
    method filter_edges (line 92) | def filter_edges(self):
    method clear_edges (line 101) | def clear_edges(self):
    method add_factors (line 107) | def add_factors(self, ii, jj, remove=False):
    method rm_factors (line 164) | def rm_factors(self, mask, store=False):
    method rm_keyframe (line 202) | def rm_keyframe(self, ix):
    method update (line 228) | def update(self, t0=None, t1=None, itrs=2, use_inactive=False, EP=1e-7...
    method update_lowmem (line 310) | def update_lowmem(self, t0=None, t1=None, itrs=2, use_inactive=False, ...
    method add_neighborhood_factors (line 362) | def add_neighborhood_factors(self, t0, t1, r=3):
    method add_proximity_factors (line 372) | def add_proximity_factors(self, t0=0, t1=0, rad=2, nms=2, beta=0.25, t...
  function upsample_inter (line 431) | def upsample_inter(mask):

FILE: VO_Module/droid_slam/geom/ba.py
  function safe_scatter_add_mat (line 12) | def safe_scatter_add_mat(A, ii, jj, n, m):
  function safe_scatter_add_vec (line 16) | def safe_scatter_add_vec(b, ii, n):
  function disp_retr (line 21) | def disp_retr(disps, dz, ii):
  function pose_retr (line 26) | def pose_retr(poses, dx, ii):
  function BA (line 31) | def BA(target, weight, eta, poses, disps, intrinsics, ii, jj, fixedp=1, ...
  function MoBA (line 109) | def MoBA(target, weight, eta, poses, disps, intrinsics, ii, jj, fixedp=1...

FILE: VO_Module/droid_slam/geom/chol.py
  class CholeskySolver (line 5) | class CholeskySolver(torch.autograd.Function):
    method forward (line 7) | def forward(ctx, H, b):
    method backward (line 22) | def backward(ctx, grad_x):
  function block_solve (line 32) | def block_solve(H, b, ep=0.1, lm=0.0001):
  function schur_solve (line 46) | def schur_solve(H, E, C, v, w, ep=0.1, lm=0.0001, sless=False):

FILE: VO_Module/droid_slam/geom/graph_utils.py
  function graph_to_edge_list (line 10) | def graph_to_edge_list(graph):
  function keyframe_indicies (line 23) | def keyframe_indicies(graph):
  function meshgrid (line 26) | def meshgrid(m, n, device='cuda'):
  function neighbourhood_graph (line 30) | def neighbourhood_graph(n, r):
  function build_frame_graph (line 37) | def build_frame_graph(poses, disps, intrinsics, num=16, thresh=24.0, r=2...
  function build_frame_graph_v2 (line 72) | def build_frame_graph_v2(poses, disps, intrinsics, num=16, thresh=24.0, ...

FILE: VO_Module/droid_slam/geom/losses.py
  function pose_metrics (line 11) | def pose_metrics(dE):
  function fit_scale (line 23) | def fit_scale(Ps, Gs):
  function geodesic_loss (line 32) | def geodesic_loss(Ps, Gs, graph, gamma=0.9, do_scale=True):
  function residual_loss (line 79) | def residual_loss(residuals, gamma=0.9):
  function cam_flow_loss (line 91) | def cam_flow_loss(Ps, disps, poses_est, disps_est, intrinsics, graph, ga...
  function flow_loss (line 124) | def flow_loss(fo_flows, ba_flows, full_flows, graph, gamma=0.9):
  function photo_loss (line 151) | def photo_loss(images, full_flows, vals, graph, mode, gamma=0.9, ssim=None,
  function photo_loss_cam (line 214) | def photo_loss_cam(images, poses_est, disps_est, intrinsics,
  function unsup_occ_vals (line 268) | def unsup_occ_vals(poses_est, disps_est, intrinsics,
  function unsup_dy_vals (line 323) | def unsup_dy_vals(vals, dy_masks, graph):
  function compute_reprojection_loss (line 348) | def compute_reprojection_loss(pred, target, ssim):
  class SSIM (line 365) | class SSIM(nn.Module):
    method __init__ (line 369) | def __init__(self):
    method forward (line 382) | def forward(self, x, y):
  function mean_on_mask (line 400) | def mean_on_mask(diff, val_pix):
  function ce_reg_loss (line 410) | def ce_reg_loss(preds, gamma=0.9):
  function unsup_art_label (line 429) | def unsup_art_label(poses_est, disps_est, intrinsics, full_flows, graph,...
  function upsample_inter (line 463) | def upsample_inter(mask):
  function art_label_loss (line 473) | def art_label_loss(art_masks, masks, gamma=0.9, downsample=True):
  function gt_label_loss (line 505) | def gt_label_loss(gt_masks, gt_vals, masks, graph, gamma=0.9, mean_mask=...
  function ce_func (line 535) | def ce_func(labels, inputs):
  function consistency_loss (line 541) | def consistency_loss(masks, n_frames, graph, gamma=0.9):

FILE: VO_Module/droid_slam/geom/projective_ops.py
  function extract_intrinsics (line 9) | def extract_intrinsics(intrinsics):
  function coords_grid (line 13) | def coords_grid(ht, wd, **kwargs):
  function iproj (line 21) | def iproj(disps, intrinsics, jacobian=False):
  function proj (line 43) | def proj(Xs, intrinsics, jacobian=False, return_depth=False):
  function actp (line 72) | def actp(Gij, X0, jacobian=False):
  function projective_transform (line 102) | def projective_transform(poses, depths, intrinsics, ii, jj, jacobian=Fal...
  function projective_transform_unsup (line 133) | def projective_transform_unsup(poses, depths, intrinsics, ii, jj, jacobi...
  function induced_flow (line 166) | def induced_flow(poses, disps, intrinsics, ii, jj):
  function coords_clamp (line 181) | def coords_clamp(coords, h_max, w_max, h_min=0, w_min=0):
  function coords_valid (line 187) | def coords_valid(coords, h_max, w_max, h_min=0, w_min=0, neg_fac=0.1):

FILE: VO_Module/droid_slam/logger.py
  class Logger (line 8) | class Logger:
    method __init__ (line 9) | def __init__(self, name, scheduler):
    method _print_training_status (line 16) | def _print_training_status(self):
    method push (line 34) | def push(self, metrics):
    method write_dict (line 48) | def write_dict(self, results):
    method close (line 52) | def close(self):

FILE: VO_Module/droid_slam/modules/clipping.py
  class GradClip (line 7) | class GradClip(torch.autograd.Function):
    method forward (line 9) | def forward(ctx, x):
    method backward (line 13) | def backward(ctx, grad_x):
  class GradientClip (line 19) | class GradientClip(nn.Module):
    method __init__ (line 20) | def __init__(self):
    method forward (line 23) | def forward(self, x):

FILE: VO_Module/droid_slam/modules/corr.py
  class CorrSampler (line 6) | class CorrSampler(torch.autograd.Function):
    method forward (line 9) | def forward(ctx, volume, coords, radius):
    method backward (line 16) | def backward(ctx, grad_output):
  class CorrBlock (line 23) | class CorrBlock:
    method __init__ (line 24) | def __init__(self, fmap1, fmap2, num_levels=4, radius=3):
    method __call__ (line 40) | def __call__(self, coords):
    method cat (line 52) | def cat(self, other):
    method __getitem__ (line 57) | def __getitem__(self, index):
    method corr (line 64) | def corr(fmap1, fmap2):
  class CorrLayer (line 74) | class CorrLayer(torch.autograd.Function):
    method forward (line 76) | def forward(ctx, fmap1, fmap2, coords, r):
    method backward (line 83) | def backward(ctx, grad_corr):
  class AltCorrBlock (line 91) | class AltCorrBlock:
    method __init__ (line 92) | def __init__(self, fmaps, num_levels=4, radius=3):
    method corr_fn (line 106) | def corr_fn(self, coords, ii, jj):
    method __call__ (line 128) | def __call__(self, coords, ii, jj):

FILE: VO_Module/droid_slam/modules/extractor.py
  class ResidualBlock (line 6) | class ResidualBlock(nn.Module):
    method __init__ (line 7) | def __init__(self, in_planes, planes, norm_fn='group', stride=1):
    method forward (line 47) | def forward(self, x):
  class BottleneckBlock (line 58) | class BottleneckBlock(nn.Module):
    method __init__ (line 59) | def __init__(self, in_planes, planes, norm_fn='group', stride=1):
    method forward (line 104) | def forward(self, x):
  class BasicEncoder (line 118) | class BasicEncoder(nn.Module):
    method __init__ (line 119) | def __init__(self, output_dim=128, norm_fn='batch', dropout=0.0, multi...
    method _make_layer (line 175) | def _make_layer(self, dim, stride=1):
    method forward (line 183) | def forward(self, x):

FILE: VO_Module/droid_slam/modules/gru.py
  class ConvGRU (line 5) | class ConvGRU(nn.Module):
    method __init__ (line 6) | def __init__(self, h_planes=128, i_planes=128):
    method forward (line 19) | def forward(self, net, *inputs):

FILE: VO_Module/droid_slam/motion_filter.py
  class MotionFilter (line 12) | class MotionFilter:
    method __init__ (line 15) | def __init__(self, net, video, thresh=2.5, device="cuda:0"):
    method __context_encoder (line 35) | def __context_encoder(self, image):
    method __feature_encoder (line 42) | def __feature_encoder(self, image):
    method track (line 48) | def track(self, tstamp, image, depth=None, intrinsics=None, segments=N...
    method track_vo (line 91) | def track_vo(self, tstamp, image, depth=None, intrinsics=None, segment...

FILE: VO_Module/droid_slam/trajectory_filler.py
  class PoseTrajectoryFiller (line 12) | class PoseTrajectoryFiller:
    method __init__ (line 15) | def __init__(self, net, video, device="cuda:0"):
    method __feature_encoder (line 31) | def __feature_encoder(self, image):
    method __fill (line 35) | def __fill(self, tstamps, images, intrinsics):
    method __call__ (line 80) | def __call__(self, image_stream):

FILE: VO_Module/droid_slam/visualization.py
  function white_balance (line 26) | def white_balance(img):
  function create_camera_actor (line 36) | def create_camera_actor(g, scale=0.05):
  function create_point_actor (line 46) | def create_point_actor(points, colors):
  function droid_visualization (line 53) | def droid_visualization(video, device="cuda:0"):

FILE: VO_Module/evaluation_scripts/flow_vis_utils.py
  function make_colorwheel (line 20) | def make_colorwheel():
  function flow_uv_to_colors (line 68) | def flow_uv_to_colors(u, v, convert_to_bgr=False):
  function flow_to_image (line 104) | def flow_to_image(flow_uv, clip_flow=None, convert_to_bgr=False):
  function writeFlow (line 128) | def writeFlow(filename,uv,v=None):

FILE: VO_Module/evaluation_scripts/test_vo.py
  function image_stream (line 19) | def image_stream(datapath, image_size=[240, 808], mode='train', args=Non...
  function init (line 58) | def init():
  function read_vkitti2_poses_file (line 121) | def read_vkitti2_poses_file(file_path, args) -> PosePath3D:

FILE: VO_Module/evaluation_scripts/test_vo2.py
  function resize (line 23) | def resize(mask, size, need_permute):
  function init (line 41) | def init():

FILE: VO_Module/src/droid.cpp
  function ba (line 87) | std::vector<torch::Tensor> ba(
  function frame_distance (line 117) | torch::Tensor frame_distance(
  function projmap (line 136) | std::vector<torch::Tensor> projmap(
  function iproj (line 154) | torch::Tensor iproj(
  function corr_index_forward (line 167) | std::vector<torch::Tensor> corr_index_forward(
  function corr_index_backward (line 177) | std::vector<torch::Tensor> corr_index_backward(
  function altcorr_forward (line 190) | std::vector<torch::Tensor> altcorr_forward(
  function altcorr_backward (line 202) | std::vector<torch::Tensor> altcorr_backward(
  function depth_filter (line 217) | torch::Tensor depth_filter(
  function PYBIND11_MODULE (line 234) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Cholesky/LDLT.h
  function namespace (line 16) | namespace Eigen {
  type SolverBase (line 64) | typedef SolverBase<LDLT> Base;
  function enum (line 67) | EIGEN_GENERIC_PUBLIC_INTERFACE(LDLT)
  type Matrix (line 73) | typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1>...
  type Transpositions (line 75) | typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> Transpos...
  type PermutationMatrix (line 76) | typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> Permu...
  type internal (line 78) | typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
  function setZero (line 143) | void setZero()
  function typename (line 149) | inline typename Traits::MatrixU matrixU() const
  function isNegative (line 185) | inline bool isNegative(void) const
  function MatrixType (line 234) | inline const MatrixType& matrixLDLT() const
  function namespace (line 293) | namespace internal {
  function Upper (line 460) | struct ldlt_inplace<Upper>
  type TriangularView (line 480) | typedef const TriangularView<const typename
  function MatrixL (line 481) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 482) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  type TriangularView (line 488) | typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
  function MatrixL (line 489) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 490) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  type typename (line 541) | typedef typename TranspositionType::StorageIndex IndexType;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Cholesky/LLT.h
  function namespace (line 13) | namespace Eigen {
  type SolverBase (line 71) | typedef SolverBase<LLT> Base;
  function enum (line 74) | EIGEN_GENERIC_PUBLIC_INTERFACE(LLT)
  type internal (line 85) | typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
  function explicit (line 101) | explicit LLT(Index size) : m_matrix(size, size),
  function typename (line 128) | inline typename Traits::MatrixU matrixU() const
  function MatrixType (line 177) | inline const MatrixType& matrixLLT() const
  function namespace (line 235) | namespace internal {
  type typename (line 379) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type TriangularView (line 404) | typedef const TriangularView<const typename
  function MatrixL (line 405) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 406) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  function inplace_decomposition (line 407) | static bool inplace_decomposition(MatrixType& m)
  type TriangularView (line 414) | typedef const TriangularView<const MatrixType, Upper> MatrixU;
  function MatrixL (line 415) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 416) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  function inplace_decomposition (line 417) | static bool inplace_decomposition(MatrixType& m)

FILE: VO_Module/thirdparty/eigen/Eigen/src/Cholesky/LLT_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/CholmodSupport/CholmodSupport.h
  function namespace (line 13) | namespace Eigen {
  function cholmod_sparse (line 105) | cholmod_sparse viewAsCholmod(const SparseMatrix<Scalar_,Options_,Index_>...
  function cholmod_sparse (line 112) | cholmod_sparse viewAsCholmod(const SparseVector<Scalar_,Options_,Index_>...
  type typename (line 140) | typedef typename Derived::Scalar Scalar;
  function namespace (line 165) | namespace internal {
  type CholmodMode (line 203) | enum CholmodMode {
  type typename (line 223) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 224) | typedef typename MatrixType::RealScalar RealScalar;
  type MatrixType (line 225) | typedef MatrixType CholMatrixType;
  type typename (line 226) | typedef typename MatrixType::StorageIndex StorageIndex;
  function StorageIndex (line 258) | inline StorageIndex cols() const { return internal::convert_index<Storag...
  function analyzePattern (line 286) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 308) | void factorize(const MatrixType& matrix)
  function Scalar (line 391) | Scalar determinant() const
  function Base (line 488) | CholmodSimplicialLLT(const MatrixType& matrix) : Base()
  function Base (line 539) | CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
  function Base (line 588) | CholmodSupernodalLLT(const MatrixType& matrix) : Base()
  function Base (line 639) | CholmodDecomposition(const MatrixType& matrix) : Base()
  function setMode (line 647) | void setMode(CholmodMode mode)

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/ComplexEigenSolver.h
  function namespace (line 17) | namespace Eigen {
  function EigenvalueType (line 182) | const EigenvalueType& eigenvalues() const
  function Index (line 233) | Index getMaxIterations()

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/ComplexSchur.h
  function namespace (line 17) | namespace Eigen {
  function ComplexMatrixType (line 162) | const ComplexMatrixType& matrixT() const
  function Index (line 235) | Index getMaxIterations()
  function namespace (line 352) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/EigenSolver.h
  function namespace (line 16) | namespace Eigen {
  function EigenvalueType (line 244) | const EigenvalueType& eigenvalues() const
  function Index (line 295) | Index getMaxIterations()
  type Matrix (line 319) | typedef Matrix<Scalar, ColsAtCompileTime, 1, Options

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/HessenbergDecomposition.h
  function namespace (line 14) | namespace Eigen {
  function CoeffVectorType (line 179) | const CoeffVectorType& householderCoefficients() const
  type typename (line 271) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function namespace (line 322) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/RealQZ.h
  function namespace (line 13) | namespace Eigen {
  function MatrixType (line 142) | const MatrixType& matrixS() const {
  type Matrix (line 203) | typedef Matrix<Scalar,3,1> Vector3s;
  type Matrix (line 204) | typedef Matrix<Scalar,2,1> Vector2s;
  type Matrix (line 205) | typedef Matrix<Scalar,2,2> Matrix2s;
  type JacobiRotation (line 206) | typedef JacobiRotation<Scalar> JRs;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/RealSchur.h
  function namespace (line 16) | namespace Eigen {
  function MatrixType (line 144) | const MatrixType& matrixT() const
  function Index (line 213) | Index getMaxIterations()
  type Matrix (line 236) | typedef Matrix<Scalar,3,1> Vector3s;
  function typename (line 362) | typename MatrixType::Scalar RealSchur<MatrixType>::computeNormOfT()

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 390) | namespace internal {
  function namespace (line 490) | namespace internal {
  type typename (line 744) | typedef typename SolverType::RealVectorType VectorType;
  type typename (line 745) | typedef typename SolverType::Scalar Scalar;
  type typename (line 746) | typedef typename SolverType::EigenvectorsType EigenvectorsType;
  function EIGEN_DEVICE_FUNC (line 748) | EIGEN_DEVICE_FUNC
  function namespace (line 834) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Eigenvalues/Tridiagonalization.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 322) | namespace internal {
  type typename (line 443) | typedef typename Tridiagonalization<MatrixType>::CoeffVectorType CoeffVe...
  type typename (line 444) | typedef typename Tridiagonalization<MatrixType>::HouseholderSequenceType...
  type typename (line 467) | typedef typename MatrixType::RealScalar RealScalar;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/AlignedBox.h
  function namespace (line 49) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 182) | EIGEN_DEVICE_FUNC inline VectorType corner(CornerType corner) const
  function EIGEN_DEVICE_FUNC (line 200) | EIGEN_DEVICE_FUNC inline VectorType sample() const
  function contains (line 218) | inline bool contains(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 225) | EIGEN_DEVICE_FUNC inline bool contains(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 230) | EIGEN_DEVICE_FUNC inline bool intersects(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 246) | EIGEN_DEVICE_FUNC inline AlignedBox& extend(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 256) | EIGEN_DEVICE_FUNC inline AlignedBox& clamp(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 266) | EIGEN_DEVICE_FUNC inline AlignedBox intersection(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 272) | EIGEN_DEVICE_FUNC inline AlignedBox merged(const AlignedBox& b) const
  function AlignedBox (line 287) | inline AlignedBox translated(const MatrixBase<Derived>& a_t) const
  function NonInteger (line 312) | inline NonInteger exteriorDistance(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 319) | EIGEN_DEVICE_FUNC inline NonInteger exteriorDistance(const AlignedBox& b...
  function transform (line 326) | inline void transform(
  function transform (line 339) | inline void transform(const Transform<Scalar, AmbientDimAtCompileTime, M...
  function AlignedBox (line 364) | AlignedBox transformed(const Transform<Scalar, AmbientDimAtCompileTime, ...
  function explicit (line 386) | inline explicit AlignedBox(const AlignedBox<OtherScalarType,AmbientDimAt...

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/AngleAxis.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 139) | inline explicit AngleAxis(const AngleAxis<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 145) | EIGEN_DEVICE_FUNC static inline const AngleAxis Identity() { return Angl...
  function EIGEN_DEVICE_FUNC (line 151) | EIGEN_DEVICE_FUNC bool isApprox(const AngleAxis& other, const typename N...
  type AngleAxis (line 157) | typedef AngleAxis<float> AngleAxisf;
  type AngleAxis (line 160) | typedef AngleAxis<double> AngleAxisd;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/EulerAngles.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Homogeneous.h
  function namespace (line 13) | namespace Eigen {
  type MatrixBase (line 68) | typedef MatrixBase<Homogeneous> Base;
  function explicit (line 71) | explicit inline Homogeneous(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 303) | EIGEN_DEVICE_FUNC homogeneous_right_product_impl(const MatrixType& lhs, ...
  type HomogeneousShape (line 329) | typedef HomogeneousShape Shape;
  type AssignmentKind (line 332) | struct AssignmentKind
  type Dense2Dense (line 332) | typedef Dense2Dense Kind;
  type typename (line 340) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 341) | typedef evaluator<PlainObject> Base;
  function EIGEN_DEVICE_FUNC (line 343) | EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op)
  type Homogeneous (line 374) | typedef Homogeneous<ArgType,Horizontal> SrcXprType;
  type typename (line 404) | typedef typename Rhs::template
  type typename (line 405) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 406) | typedef typename Rhs::ConstRowXpr                                     Co...
  type Replicate (line 407) | typedef Replicate<const ConstantColumn,Rows,1>                        Co...
  type Product (line 408) | typedef Product<Lhs,LinearBlock,LazyProduct>                          Li...
  type CwiseBinaryOp (line 409) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_right_product_refactoring_helper (line 417) | typedef homogeneous_right_product_refactoring_helper<typename
  type typename (line 418) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 419) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 420) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 422) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  type typename (line 457) | typedef typename Lhs::template
  type typename (line 458) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 459) | typedef typename Lhs::ConstColXpr                                     Co...
  type Replicate (line 460) | typedef Replicate<const ConstantColumn,1,Cols>                        Co...
  type Product (line 461) | typedef Product<LinearBlock,Rhs,LazyProduct>                          Li...
  type CwiseBinaryOp (line 462) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_left_product_refactoring_helper (line 470) | typedef homogeneous_left_product_refactoring_helper<Lhs,typename
  type typename (line 471) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 472) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 473) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 475) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  function evalTo (line 486) | static void evalTo(Dest& dst, const TransformType& lhs, const Homogeneou...

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Hyperplane.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/OrthoMethods.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 51) | namespace internal {
  type typename (line 88) | typedef typename internal::nested_eval<Derived,2>::type DerivedNested;
  type typename (line 89) | typedef typename internal::nested_eval<OtherDerived,2>::type OtherDerive...
  function namespace (line 138) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/ParametrizedLine.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Quaternion.h
  function namespace (line 13) | namespace Eigen {
  type Scalar_ (line 279) | typedef Scalar_ Scalar;
  type typename (line 284) | typedef typename internal::traits<Quaternion>::Coefficients Coefficients;
  type typename (line 285) | typedef typename Base::AngleAxisType AngleAxisType;
  function EIGEN_DEVICE_FUNC (line 288) | EIGEN_DEVICE_FUNC inline Quaternion() {}
  function EIGEN_DEVICE_FUNC (line 297) | EIGEN_DEVICE_FUNC inline Quaternion(const Scalar& w, const Scalar& x, co...
  function EIGEN_DEVICE_FUNC (line 300) | EIGEN_DEVICE_FUNC explicit inline Quaternion(const Scalar* data) : m_coe...
  function EIGEN_STRONG_INLINE (line 303) | EIGEN_STRONG_INLINE Quaternion(const QuaternionBase<Derived>& other) { t...
  function explicit (line 313) | explicit inline Quaternion(const MatrixBase<Derived>& other) { *this = o...
  function explicit (line 317) | explicit inline Quaternion(const Quaternion<OtherScalar, OtherOptions>& ...
  function EIGEN_DEVICE_FUNC (line 323) | EIGEN_DEVICE_FUNC inline Quaternion(Quaternion&& other) EIGEN_NOEXCEPT_I...
  function EIGEN_DEVICE_FUNC (line 340) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs;}
  function EIGEN_STRONG_INLINE (line 353) | static EIGEN_STRONG_INLINE void _check_template_params()
  type Quaternion (line 363) | typedef Quaternion<float> Quaternionf;
  type Quaternion (line 366) | typedef Quaternion<double> Quaterniond;
  function namespace (line 372) | namespace internal {
  function namespace (line 380) | namespace internal {
  type Scalar_ (line 410) | typedef Scalar_ Scalar;
  type typename (line 411) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 421) | EIGEN_STRONG_INLINE Map(const Scalar* coeffs) : m_coeffs(coeffs) {}
  type Scalar_ (line 447) | typedef Scalar_ Scalar;
  type typename (line 448) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 458) | EIGEN_STRONG_INLINE Map(Scalar* coeffs) : m_coeffs(coeffs) {}
  function EIGEN_DEVICE_FUNC (line 460) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs; }
  type Map (line 469) | typedef Map<Quaternion<float>, 0>         QuaternionMapf;
  type Map (line 472) | typedef Map<Quaternion<double>, 0>        QuaternionMapd;
  type Map (line 475) | typedef Map<Quaternion<float>, Aligned>   QuaternionMapAlignedf;
  type Map (line 478) | typedef Map<Quaternion<double>, Aligned>  QuaternionMapAlignedd;
  function namespace (line 486) | namespace internal {
  function typename (line 591) | inline typename QuaternionBase<Derived>::Matrix3
  function namespace (line 734) | namespace internal {
  function typename (line 763) | inline typename internal::traits<Derived>::Scalar
  function namespace (line 812) | namespace internal {
  function run (line 860) | static inline void run(QuaternionBase<Derived>& q, const Other& vec)

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Rotation2D.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 147) | inline explicit Rotation2D(const Rotation2D<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 152) | EIGEN_DEVICE_FUNC static inline Rotation2D Identity() { return Rotation2...
  function EIGEN_DEVICE_FUNC (line 158) | EIGEN_DEVICE_FUNC bool isApprox(const Rotation2D& other, const typename ...
  type Rotation2D (line 165) | typedef Rotation2D<float> Rotation2Df;
  type Rotation2D (line 168) | typedef Rotation2D<double> Rotation2Dd;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/RotationBase.h
  function namespace (line 13) | namespace Eigen {
  function VectorType (line 93) | inline VectorType _transformVector(const OtherVectorType& v) const
  function namespace (line 97) | namespace internal {
  function EIGEN_DEVICE_FUNC (line 113) | EIGEN_DEVICE_FUNC static inline ReturnType run(const RotationDerived& r,...
  type Matrix (line 125) | typedef Matrix<typename
  function ReturnType (line 126) | ReturnType run(const RotationDerived& r, const OtherVectorType& v)
  function namespace (line 161) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Scaling.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Transform.h
  function namespace (line 15) | namespace Eigen {
  type Scalar_ (line 216) | typedef Scalar_ Scalar;
  type Eigen (line 217) | typedef Eigen::Index StorageIndex;
  type Eigen (line 218) | typedef Eigen::Index Index;
  type typename (line 220) | typedef typename internal::make_proper_matrix_type<Scalar,Rows,HDim,Opti...
  type MatrixType (line 222) | typedef const MatrixType ConstMatrixType;
  type Matrix (line 224) | typedef Matrix<Scalar,Dim,Dim,Options> LinearMatrixType;
  type Block (line 226) | typedef Block<MatrixType,Dim,Dim,int(Mode)==(AffineCompact) && (int(Opti...
  type Block (line 228) | typedef const Block<ConstMatrixType,Dim,Dim,int(Mode)==(AffineCompact) &...
  type typename (line 230) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type typename (line 234) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type Matrix (line 238) | typedef Matrix<Scalar,Dim,1> VectorType;
  type Block (line 240) | typedef Block<MatrixType,Dim,1,!(internal::traits<MatrixType>::Flags & R...
  type Block (line 242) | typedef const Block<ConstMatrixType,Dim,1,!(internal::traits<MatrixType>...
  type Translation (line 244) | typedef Translation<Scalar,Dim> TranslationType;
  type Transform (line 249) | typedef Transform<Scalar,Dim,TransformTimeDiagonalMode> TransformTimeDia...
  function EIGEN_DEVICE_FUNC (line 265) | EIGEN_DEVICE_FUNC inline explicit Transform(const TranslationType& t)
  function EIGEN_DEVICE_FUNC (line 270) | EIGEN_DEVICE_FUNC inline explicit Transform(const UniformScaling<Scalar>...
  function explicit (line 276) | inline explicit Transform(const RotationBase<Derived, Dim>& r)
  type internal (line 282) | typedef internal::transform_take_affine_part<Transform> take_affine_part;
  function explicit (line 286) | inline explicit Transform(const EigenBase<OtherDerived>& other)
  type typename (line 342) | typedef typename Transform<Scalar,Dim,OtherMode,OtherOptions>::MatrixTyp...
  function EIGEN_DEVICE_FUNC (line 383) | EIGEN_DEVICE_FUNC inline Scalar operator() (Index row, Index col) const ...
  function EIGEN_DEVICE_FUNC (line 386) | EIGEN_DEVICE_FUNC inline Scalar& operator() (Index row, Index col) { ret...
  function EIGEN_DEVICE_FUNC (line 391) | EIGEN_DEVICE_FUNC inline MatrixType& matrix() { return m_matrix; }
  function EIGEN_DEVICE_FUNC (line 396) | EIGEN_DEVICE_FUNC inline LinearPart linear() { return LinearPart(m_matri...
  function EIGEN_DEVICE_FUNC (line 399) | EIGEN_DEVICE_FUNC inline ConstAffinePart affine() const { return take_af...
  type internal (line 503) | typedef internal::transform_transform_product_impl<Transform,Transform<S...
  type typename (line 504) | typedef typename ProductType::ResultType ResultType;
  type typename (line 513) | typedef typename icc_11_workaround<OtherMode,OtherOptions>::ProductType ...
  function EIGEN_DEVICE_FUNC (line 527) | EIGEN_DEVICE_FUNC void setIdentity() { m_matrix.setIdentity(); }
  function EIGEN_DEVICE_FUNC (line 533) | EIGEN_DEVICE_FUNC static const Transform Identity()
  type typename (line 599) | typedef typename internal::conditional<int(Mode)==Isometry,ConstLinearPa...
  function Scalar (line 618) | const Scalar* data() const { return m_matrix.data(); }
  function EIGEN_DEVICE_FUNC (line 620) | EIGEN_DEVICE_FUNC Scalar* data() { return m_matrix.data(); }
  function explicit (line 633) | inline explicit Transform(const Transform<OtherScalarType,Dim,Mode,Optio...
  function EIGEN_DEVICE_FUNC (line 643) | EIGEN_DEVICE_FUNC bool isApprox(const Transform& other, const typename N...
  function EIGEN_DEVICE_FUNC (line 648) | EIGEN_DEVICE_FUNC void makeAffine()
  function check_template_params (line 686) | void check_template_params()
  function else (line 913) | else
  function namespace (line 1045) | namespace internal {
  function namespace (line 1161) | namespace internal {
  function namespace (line 1252) | namespace internal {
  function MatrixType (line 1272) | static inline const MatrixType& run(const MatrixType& m) { return m; }
  function ResultType (line 1336) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1352) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1354) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1378) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1380) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1403) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1405) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1425) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1426) | typedef Transform<typename
  function ResultType (line 1427) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1436) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1437) | typedef Transform<typename
  function ResultType (line 1438) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1452) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1453) | typedef TransformType ResultType;
  function ResultType (line 1454) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1468) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1469) | typedef TransformType ResultType;
  function ResultType (line 1470) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1484) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1485) | typedef TransformType ResultType;
  function ResultType (line 1486) | static ResultType run(const Other& other, const TransformType& tr)
  type Transform (line 1505) | typedef Transform<Scalar,Dim,LhsMode,LhsOptions> Lhs;
  type Transform (line 1506) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1507) | typedef Transform<Scalar,Dim,ResultMode,LhsOptions> ResultType;
  function ResultType (line 1508) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1522) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1523) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1524) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1534) | typedef Transform<Scalar,Dim,Projective,RhsOptions> Rhs;
  type Transform (line 1535) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1536) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1549) | typedef Transform<Scalar,Dim,AffineCompact,RhsOptions> Rhs;
  type Transform (line 1550) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1551) | static ResultType run(const Lhs& lhs, const Rhs& rhs)

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Translation.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 154) | inline explicit Translation(const Translation<OtherScalarType,Dim>& other)
  function EIGEN_DEVICE_FUNC (line 161) | EIGEN_DEVICE_FUNC bool isApprox(const Translation& other, const typename...
  type Translation (line 168) | typedef Translation<float, 2> Translation2f;
  type Translation (line 169) | typedef Translation<double,2> Translation2d;
  type Translation (line 170) | typedef Translation<float, 3> Translation3f;
  type Translation (line 171) | typedef Translation<double,3> Translation3d;

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/Umeyama.h
  function namespace (line 26) | namespace internal {
  type typename (line 97) | typedef typename internal::umeyama_transform_matrix_type<Derived, OtherD...
  type typename (line 98) | typedef typename internal::traits<TransformationMatrixType>::Scalar Scalar;
  type typename (line 99) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function EIGEN_STATIC_ASSERT (line 102) | EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename internal::traits...

FILE: VO_Module/thirdparty/eigen/Eigen/src/Geometry/arch/Geometry_SIMD.h
  function namespace (line 14) | namespace Eigen {
  function Quaternion (line 101) | static inline Quaternion<double> run(const QuaternionBase<Derived>& _a, ...
  function Quaternion (line 147) | static inline Quaternion<double> run(const QuaternionBase<Derived>& q)

FILE: VO_Module/thirdparty/eigen/Eigen/src/Householder/BlockHouseholder.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Householder/Householder.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/Householder/HouseholderSequence.h
  function namespace (line 14) | namespace Eigen {
  type Block (line 88) | typedef Block<const VectorsType, Dynamic, 1> EssentialVectorType;
  type HouseholderSequence (line 89) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheLeft> Househol...
  type HouseholderSequence (line 101) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheRight> Househo...
  function EssentialVectorType (line 102) | static inline const EssentialVectorType essentialVector(const Householde...
  type typename (line 111) | typedef typename ScalarBinaryOpTraits<OtherScalarType, typename
  type Matrix (line 113) | typedef Matrix<ResultScalar, MatrixType::RowsAtCompileTime, MatrixType::...
  type typename (line 131) | typedef typename internal::traits<HouseholderSequence>::Scalar Scalar;
  type HouseholderSequence (line 133) | typedef HouseholderSequence<
  type HouseholderSequence (line 143) | typedef HouseholderSequence<
  type HouseholderSequence (line 151) | typedef HouseholderSequence<
  type HouseholderSequence (line 159) | typedef HouseholderSequence<
  function EIGEN_DEVICE_FUNC (line 228) | EIGEN_DEVICE_FUNC
  function evalTo (line 280) | void evalTo(DestType& dst) const
  type Block (line 385) | typedef Block<typename
  type internal (line 431) | struct internal
  function EIGEN_DEVICE_FUNC (line 442) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 460) | EIGEN_DEVICE_FUNC

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h
  function namespace (line 13) | namespace Eigen {
  type Scalar_ (line 130) | typedef Scalar_ Scalar;
  type typename (line 131) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type DiagonalPreconditioner (line 132) | typedef DiagonalPreconditioner<Scalar_> Base;
  function Base (line 139) | LeastSquareDiagonalPreconditioner(const MatType& mat) : Base()
  function ComputationInfo (line 188) | ComputationInfo info() { return Success; }

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 168) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 169) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 170) | typedef Preconditioner_ Preconditioner;

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 168) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 169) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 170) | typedef Preconditioner_ Preconditioner;
  type typename (line 200) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 201) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 208) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 210) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 151) | typedef typename internal::traits<Derived>::Preconditioner Preconditioner;
  type typename (line 152) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 153) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 154) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 341) | typedef typename DestDerived::Scalar DestScalar;
  type internal (line 416) | typedef internal::generic_matrix_wrapper<MatrixType> MatrixWrapper;
  type typename (line 417) | typedef typename MatrixWrapper::ActualMatrixType ActualMatrixType;

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 159) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 160) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 161) | typedef Preconditioner_ Preconditioner;

FILE: VO_Module/thirdparty/eigen/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 72) | namespace internal {
  type SolveWithGuess (line 100) | typedef SolveWithGuess<DecType,RhsType,GuessType> SrcXprType;
  function run (line 101) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: VO_Module/thirdparty/eigen/Eigen/src/Jacobi/Jacobi.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 274) | namespace internal {
  function applyOnTheLeft (line 295) | inline void MatrixBase<Derived>::applyOnTheLeft(Index p, Index q, const ...
  function applyOnTheRight (line 311) | inline void MatrixBase<Derived>::applyOnTheRight(Index p, Index q, const...
  function namespace (line 318) | namespace internal {
  function apply_rotation_in_the_plane (line 453) | void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX...

FILE: VO_Module/thirdparty/eigen/Eigen/src/KLUSupport/KLUSupport.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/Determinant.h
  function namespace (line 15) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/FullPivLU.h
  function namespace (line 13) | namespace Eigen {
  function MatrixType (line 405) | MatrixType reconstructedMatrix() const;
  type internal (line 516) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 517) | typedef typename Scoring::result_type Score;
  function namespace (line 615) | namespace internal {
  function namespace (line 844) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/InverseImpl.h
  function namespace (line 14) | namespace Eigen {
  function compute_inverse_size2_helper (line 76) | inline void compute_inverse_size2_helper(
  function run (line 91) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 103) | static inline void run(
  function typename (line 127) | inline typename MatrixType::Scalar cofactor_3x3(const MatrixType& m)
  function compute_inverse_size3_helper (line 141) | inline void compute_inverse_size3_helper(
  function run (line 165) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 182) | static inline void run(
  function typename (line 209) | inline const typename Derived::Scalar general_det3_helper
  function typename (line 218) | inline typename MatrixType::Scalar cofactor_4x4(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 236) | EIGEN_DEVICE_FUNC
  function run (line 270) | static inline void run(
  function namespace (line 297) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/PartialPivLU.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 577) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/PartialPivLU_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/LU/arch/InverseSize4.h
  function namespace (line 38) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/Eigen/src/MetisSupport/MetisSupport.h
  function namespace (line 12) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/OrderingMethods/Amd.h
  function namespace (line 24) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/OrderingMethods/Eigen_Colamd.h
  function namespace (line 50) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/OrderingMethods/Ordering.h
  function namespace (line 14) | namespace Eigen {
  type Matrix (line 118) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;

FILE: VO_Module/thirdparty/eigen/Eigen/src/PaStiXSupport/PaStiXSupport.h
  function namespace (line 13) | namespace Eigen {
  function eigen_pastix (line 67) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 74) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 81) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 88) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  type typename (line 137) | typedef typename internal::pastix_traits<Derived>::MatrixType MatrixType_;
  type MatrixType_ (line 138) | typedef MatrixType_ MatrixType;
  type typename (line 139) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 140) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 141) | typedef typename MatrixType::StorageIndex StorageIndex;
  type Matrix (line 142) | typedef Matrix<Scalar,Dynamic,1> Vector;
  type SparseMatrix (line 143) | typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
  function iparm (line 178) | int& iparm(int idxparam)
  function dparm (line 196) | double& dparm(int idxparam)
  function clean (line 230) | void clean()
  type PastixBase (line 416) | typedef PastixBase<PastixLU<MatrixType> > Base;
  type typename (line 417) | typedef typename Base::ColSpMatrix ColSpMatrix;
  type typename (line 418) | typedef typename MatrixType::StorageIndex StorageIndex;
  function explicit (line 426) | explicit PastixLU(const MatrixType& matrix):Base()
  function compute (line 436) | void compute (const MatrixType& matrix)
  function analyzePattern (line 448) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 461) | void factorize(const MatrixType& matrix)
  function grabMatrix (line 476) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 528) | typedef PastixBase<PastixLLT<MatrixType, UpLo_> > Base;
  type typename (line 529) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 538) | explicit PastixLLT(const MatrixType& matrix):Base()
  function compute (line 547) | void compute (const MatrixType& matrix)
  function analyzePattern (line 558) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 567) | void factorize(const MatrixType& matrix)
  function init (line 576) | void init()
  function grabMatrix (line 582) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 612) | typedef PastixBase<PastixLDLT<MatrixType, UpLo_> > Base;
  type typename (line 613) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 622) | explicit PastixLDLT(const MatrixType& matrix):Base()
  function compute (line 631) | void compute (const MatrixType& matrix)
  function analyzePattern (line 642) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 651) | void factorize(const MatrixType& matrix)
  function init (line 661) | void init()
  function grabMatrix (line 667) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)

FILE: VO_Module/thirdparty/eigen/Eigen/src/PardisoSupport/PardisoSupport.h
  function namespace (line 35) | namespace Eigen {
  type internal (line 106) | typedef internal::pardiso_traits<Derived> Traits;
  type typename (line 110) | typedef typename Traits::MatrixType MatrixType;
  type typename (line 111) | typedef typename Traits::Scalar Scalar;
  type typename (line 112) | typedef typename Traits::RealScalar RealScalar;
  type typename (line 113) | typedef typename Traits::StorageIndex StorageIndex;
  type SparseMatrix (line 114) | typedef SparseMatrix<Scalar,RowMajor,StorageIndex> SparseMatrixType;
  type Matrix (line 115) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type Matrix (line 116) | typedef Matrix<StorageIndex, 1, MatrixType::ColsAtCompileTime> IntRowVec...
  type Matrix (line 117) | typedef Matrix<StorageIndex, MatrixType::RowsAtCompileTime, 1> IntColVec...
  function pardisoInit (line 193) | void pardisoInit(int type)
  type typename (line 396) | typedef typename Base::RealScalar RealScalar;
  function explicit (line 407) | explicit PardisoLU(const MatrixType& matrix)
  type typename (line 452) | typedef typename Base::RealScalar RealScalar;
  type typename (line 453) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 463) | explicit PardisoLLT(const MatrixType& matrix)
  type typename (line 515) | typedef typename Base::RealScalar RealScalar;
  type typename (line 516) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 526) | explicit PardisoLDLT(const MatrixType& matrix)
  function getMatrix (line 533) | void getMatrix(const MatrixType& matrix)

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/ColPivHouseholderQR.h
  function namespace (line 14) | namespace Eigen {
  function isSurjective (line 298) | inline bool isSurjective() const
  function Inverse (line 321) | inline const Inverse<ColPivHouseholderQR> inverse() const
  function Index (line 394) | inline Index nonzeroPivots() const
  function check_template_parameters (line 429) | static void check_template_parameters()
  function namespace (line 635) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h
  function namespace (line 37) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/CompleteOrthogonalDecomposition.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 593) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/FullPivHouseholderQR.h
  function namespace (line 14) | namespace Eigen {
  function isSurjective (line 289) | inline bool isSurjective() const
  function Inverse (line 312) | inline const Inverse<FullPivHouseholderQR> inverse() const
  function Index (line 385) | inline Index nonzeroPivots() const
  type internal (line 487) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 488) | typedef typename Scoring::result_type Score;
  function namespace (line 613) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/HouseholderQR.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 263) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/QR/HouseholderQR_LAPACKE.h
  function namespace (line 37) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 67) | typedef typename MatrixType_::RealScalar RealScalar;
  type SuiteSparse_long (line 68) | typedef SuiteSparse_long StorageIndex ;
  type SparseMatrix (line 69) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex> MatrixType;
  type Map (line 70) | typedef Map<PermutationMatrix<Dynamic, Dynamic, StorageIndex> > Permutat...
  function SPQR_free (line 116) | void SPQR_free()
  function compute (line 125) | void compute(const MatrixType_& matrix)
  function setSPQROrdering (line 231) | void setSPQROrdering(int ord) { m_ordering = ord;}
  function setPivotThreshold (line 233) | void setPivotThreshold(const RealScalar& tol)
  function cholmod_common (line 240) | cholmod_common *cholmodCommon() const { return &m_cc; }
  type SPQR_QProduct (line 271) | struct SPQR_QProduct
  type typename (line 277) | typedef typename SPQRType::Scalar Scalar;
  type typename (line 278) | typedef typename SPQRType::StorageIndex StorageIndex;
  function m_spqr (line 305) | SPQRMatrixQReturnType(const SPQRType& spqr) : m_spqr(spqr) {}
  function m_spqr (line 325) | SPQRMatrixQTransposeReturnType(const SPQRType& spqr) : m_spqr(spqr) {}

FILE: VO_Module/thirdparty/eigen/Eigen/src/SVD/BDCSVD.h
  function namespace (line 30) | namespace Eigen {
  function setSwitchSize (line 173) | void setSwitchSize(int s)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SVD/JacobiSVD.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 108) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 118) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 122) | void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditi...
  function run (line 133) | bool run(JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd,...
  function allocate (line 159) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 170) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  type typename (line 198) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 208) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 212) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 224) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  function allocate (line 257) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 268) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 295) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 305) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 309) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 321) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 357) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 358) | static bool run(typename SVD::WorkMatrixType&, SVD&, Index, Index, RealS...
  type typename (line 365) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 366) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 367) | static bool run(typename SVD::WorkMatrixType& work_matrix, SVD& svd, Ind...
  type typename (line 495) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 496) | typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
  type typename (line 507) | typedef typename Base::MatrixUType MatrixUType;
  type typename (line 508) | typedef typename Base::MatrixVType MatrixVType;
  type typename (line 509) | typedef typename Base::SingularValuesType SingularValuesType;
  type typename (line 511) | typedef typename internal::plain_row_type<MatrixType>::type RowType;
  type typename (line 512) | typedef typename internal::plain_col_type<MatrixType>::type ColType;
  type Matrix (line 513) | typedef Matrix<Scalar, DiagSizeAtCompileTime, DiagSizeAtCompileTime,
  type internal (line 605) | struct internal
  type internal (line 607) | struct internal

FILE: VO_Module/thirdparty/eigen/Eigen/src/SVD/JacobiSVD_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SVD/SVDBase.h
  function namespace (line 19) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SVD/UpperBidiagonalization.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCholesky/SimplicialCholesky.h
  function namespace (line 13) | namespace Eigen {
  function analyzePattern (line 238) | void analyzePattern(const MatrixType& a, bool doLDLT)
  type keep_diag (line 252) | struct keep_diag {
  function namespace (line 278) | namespace internal {
  type Ordering_ (line 297) | typedef Ordering_ OrderingType;
  type typename (line 299) | typedef typename MatrixType::Scalar                             Scalar;
  type typename (line 300) | typedef typename MatrixType::StorageIndex                       StorageI...
  type SparseMatrix (line 301) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex>            CholMatr...
  type TriangularView (line 302) | typedef TriangularView<const CholMatrixType, Eigen::UnitLower>  MatrixL;
  type TriangularView (line 303) | typedef TriangularView<const typename
  function MatrixL (line 304) | static inline MatrixL getL(const CholMatrixType& m) { return MatrixL(m); }
  function MatrixU (line 305) | static inline MatrixU getU(const CholMatrixType& m) { return MatrixU(m.a...
  type Ordering_ (line 311) | typedef Ordering_ OrderingType;
  type MatrixType_ (line 341) | typedef MatrixType_ MatrixType;
  type SimplicialCholeskyBase (line 343) | typedef SimplicialCholeskyBase<SimplicialLLT> Base;
  type typename (line 344) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 345) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 346) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 347) | typedef SparseMatrix<Scalar,ColMajor,Index> CholMatrixType;
  type Matrix (line 348) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 349) | typedef internal::traits<SimplicialLLT> Traits;
  type typename (line 350) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 351) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 356) | explicit SimplicialLLT(const MatrixType& matrix)
  function analyzePattern (line 384) | void analyzePattern(const MatrixType& a)
  function factorize (line 395) | void factorize(const MatrixType& a)
  type MatrixType_ (line 432) | typedef MatrixType_ MatrixType;
  type SimplicialCholeskyBase (line 434) | typedef SimplicialCholeskyBase<SimplicialLDLT> Base;
  type typename (line 435) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 436) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 437) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 438) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
  type Matrix (line 439) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 440) | typedef internal::traits<SimplicialLDLT> Traits;
  type typename (line 441) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 442) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 448) | explicit SimplicialLDLT(const MatrixType& matrix)
  function MatrixU (line 463) | inline const MatrixU matrixU() const {
  function analyzePattern (line 481) | void analyzePattern(const MatrixType& a)
  function factorize (line 492) | void factorize(const MatrixType& a)
  function Scalar (line 498) | Scalar determinant() const
  function VectorType (line 551) | inline const VectorType vectorD() const {
  function analyzePattern (line 576) | void analyzePattern(const MatrixType& a)
  function factorize (line 587) | void factorize(const MatrixType& a)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h
  function namespace (line 23) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/AmbiVector.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 288) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_vector (line 297) | m_vector(vec)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/CompressedStorage.h
  function namespace (line 13) | namespace Eigen {
  function append (line 101) | void append(const Scalar& v, Index i)
  function clear (line 111) | inline void clear() { m_size = 0; }
  function Scalar (line 113) | const Scalar* valuePtr() const { return m_values; }
  function Scalar (line 114) | Scalar* valuePtr() { return m_values; }
  function StorageIndex (line 115) | const StorageIndex* indexPtr() const { return m_indices; }
  function StorageIndex (line 116) | StorageIndex* indexPtr() { return m_indices; }
  function Scalar (line 118) | inline Scalar& value(Index i) { eigen_internal_assert(m_values!=0); retu...
  function Scalar (line 119) | inline const Scalar& value(Index i) const { eigen_internal_assert(m_valu...
  function StorageIndex (line 121) | inline StorageIndex& index(Index i) { eigen_internal_assert(m_indices!=0...
  function StorageIndex (line 122) | inline const StorageIndex& index(Index i) const { eigen_internal_assert(...
  function Index (line 125) | inline Index searchLowerIndex(Index key) const
  function Index (line 131) | inline Index searchLowerIndex(Index start, Index end, Index key) const
  function moveChunk (line 210) | void moveChunk(Index from, Index to, Index chunkSize)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 125) | namespace internal {
  type SparseMatrix (line 172) | typedef SparseMatrix<typename
  type SparseMatrix (line 186) | typedef SparseMatrix<typename
  function run (line 212) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
  type SparseMatrix (line 227) | typedef SparseMatrix<typename
  type SparseMatrix (line 241) | typedef SparseMatrix<typename
  type SparseMatrix (line 255) | typedef SparseMatrix<typename
  function namespace (line 267) | namespace internal {
  function namespace (line 299) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/MappedSparseMatrix.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 50) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseAssign.h
  function namespace (line 13) | namespace Eigen {
  function run (line 162) | void run(DstXprType &dst, const SrcXprType &src, const InitialFunc& /*fu...
  type Solve (line 228) | typedef Solve<DecType,RhsType> SrcXprType;
  function run (line 229) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type Diagonal2Sparse (line 240) | struct Diagonal2Sparse {}
  type AssignmentKind (line 242) | struct AssignmentKind
  type Diagonal2Sparse (line 242) | typedef Diagonal2Sparse Kind;
  type typename (line 248) | typedef typename DstXprType::Scalar Scalar;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseBlock.h
  function namespace (line 13) | namespace Eigen {
  function Scalar (line 54) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 59) | inline const Scalar coeff(Index index) const
  function XprType (line 65) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 93) | namespace internal {
  type SparseMatrix (line 292) | typedef SparseMatrix<Scalar_, Options_, StorageIndex_> SparseMatrixType;
  type internal (line 293) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 294) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 298) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrix (line 311) | typedef const SparseMatrix<Scalar_, Options_, StorageIndex_> SparseMatri...
  type internal (line 312) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 313) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 317) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrixBase (line 337) | typedef SparseMatrixBase<BlockType> Base;
  function Scalar (line 364) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 369) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 374) | inline Scalar& coeffRef(Index index)
  function Scalar (line 380) | inline const Scalar coeff(Index index) const
  function XprType (line 387) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 417) | namespace internal {
  function public (line 468) | public EvalIterator
  type evaluator (line 553) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 554) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}
  type evaluator (line 562) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 563) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseColEtree.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseCompressedBase.h
  function namespace (line 13) | namespace Eigen {
  function Scalar (line 220) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id]); }
  type internal (line 232) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  function Scalar (line 288) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id-1]); }
  type internal (line 300) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  type typename (line 312) | typedef typename Derived::Scalar Scalar;
  type typename (line 313) | typedef typename Derived::InnerIterator InnerIterator;
  function explicit (line 324) | explicit evaluator(const Derived &mat) : m_matrix(&mat), m_zero(0)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseCwiseBinaryOp.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 53) | namespace internal {
  type CwiseBinaryOp (line 159) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 160) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 161) | typedef typename XprType::StorageIndex StorageIndex;
  type CwiseBinaryOp (line 246) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 247) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 248) | typedef typename XprType::StorageIndex StorageIndex;
  type sparse_conjunction_evaluator (line 338) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 339) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 347) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 348) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 356) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 357) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 366) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 367) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 376) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 377) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 385) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 386) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 394) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 395) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type typename (line 405) | typedef typename XprType::Lhs LhsArg;
  type typename (line 406) | typedef typename XprType::Rhs RhsArg;
  type typename (line 407) | typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
  type typename (line 408) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 409) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 410) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 490) | typedef typename XprType::Lhs LhsArg;
  type typename (line 491) | typedef typename XprType::Rhs RhsArg;
  type evaluator (line 492) | typedef evaluator<LhsArg> LhsEvaluator;
  type typename (line 493) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 494) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 495) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 563) | typedef typename XprType::Lhs LhsArg;
  type typename (line 564) | typedef typename XprType::Rhs RhsArg;
  type typename (line 565) | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
  type evaluator (line 566) | typedef evaluator<RhsArg> RhsEvaluator;
  type typename (line 567) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 568) | typedef typename traits<XprType>::Scalar Scalar;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseCwiseUnaryOp.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 128) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
  type typename (line 140) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseDenseProduct.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 176) | namespace internal {
  type typename (line 209) | typedef typename nested_eval<Lhs,((Rhs::Flags&RowMajorBit)==0) ? Dynamic...
  type typename (line 210) | typedef typename nested_eval<Rhs,((Lhs::Flags&RowMajorBit)==RowMajorBit)...
  type typename (line 230) | typedef typename conditional<NeedToTranspose,LhsT,RhsT>::type ActualRhs;
  type Product (line 231) | typedef Product<LhsT,RhsT,DefaultProduct> ProdXprType;
  type typename (line 235) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type typename (line 237) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type evaluator (line 240) | typedef evaluator<ActualLhs> LhsEval;
  type evaluator (line 241) | typedef evaluator<ActualRhs> RhsEval;
  type typename (line 242) | typedef typename evaluator<ActualLhs>::InnerIterator LhsIterator;
  type typename (line 243) | typedef typename ProdXprType::Scalar Scalar;
  function class (line 251) | class InnerIterator : public LhsIterator
  type sparse_dense_outer_product_evaluator (line 312) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Lhs::IsRowMajor> B...
  type Product (line 314) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 315) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 317) | explicit product_evaluator(const XprType& xpr)
  type sparse_dense_outer_product_evaluator (line 327) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Rhs::IsRowMajor> B...
  type Product (line 329) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 330) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 332) | explicit product_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseDiagonalProduct.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 96) | typedef typename SparseXprType::StorageIndex StorageIndex;
  type typename (line 98) | typedef typename nested_eval<DiagCoeffType,SparseXprType::IsRowMajor ? S...
  function class (line 101) | class InnerIterator

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseDot.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseFuzzy.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseMap.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 55) | typedef typename Base::Scalar Scalar;
  type typename (line 56) | typedef typename Base::StorageIndex StorageIndex;
  type typename (line 64) | typedef typename internal::conditional<
  function Scalar (line 95) | inline const Scalar* valuePtr() const { return m_values; }
  function StorageIndex (line 97) | inline const StorageIndex* innerIndexPtr() const { return m_innerIndices; }
  function StorageIndex (line 99) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 101) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function Scalar (line 105) | inline Scalar coeff(Index row, Index col) const
  type typename (line 155) | typedef typename Base::Scalar Scalar;
  type typename (line 156) | typedef typename Base::StorageIndex StorageIndex;
  function Scalar (line 170) | inline Scalar* valuePtr()              { return Base::m_values; }
  function StorageIndex (line 172) | inline StorageIndex* innerIndexPtr()   { return Base::m_innerIndices; }
  function StorageIndex (line 174) | inline StorageIndex* outerIndexPtr()   { return Base::m_outerIndex; }
  function StorageIndex (line 176) | inline StorageIndex* innerNonZeroPtr() { return Base::m_innerNonZeros; }
  function Scalar (line 180) | inline Scalar& coeffRef(Index row, Index col)
  function enum (line 260) | EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
  function namespace (line 279) | namespace internal {
  type Map (line 296) | typedef Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 298) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseMatrix.h
  function namespace (line 13) | namespace Eigen {
  type internal (line 103) | struct internal
  type MappedSparseMatrix (line 111) | typedef MappedSparseMatrix<Scalar,Flags> Map;
  type Diagonal (line 112) | typedef Diagonal<SparseMatrix> DiagonalReturnType;
  type Diagonal (line 113) | typedef Diagonal<const SparseMatrix> ConstDiagonalReturnType;
  type typename (line 114) | typedef typename Base::InnerIterator InnerIterator;
  type typename (line 115) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  type internal (line 119) | typedef internal::CompressedStorage<Scalar,StorageIndex> Storage;
  type typename (line 124) | typedef typename Base::IndexVector IndexVector;
  type typename (line 125) | typedef typename Base::ScalarVector ScalarVector;
  function Scalar (line 150) | inline const Scalar* valuePtr() const { return m_data.valuePtr(); }
  function Scalar (line 154) | inline Scalar* valuePtr() { return m_data.valuePtr(); }
  function StorageIndex (line 159) | inline const StorageIndex* innerIndexPtr() const { return m_data.indexPt...
  function StorageIndex (line 163) | inline StorageIndex* innerIndexPtr() { return m_data.indexPtr(); }
  function StorageIndex (line 168) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 172) | inline StorageIndex* outerIndexPtr() { return m_outerIndex; }
  function StorageIndex (line 177) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function StorageIndex (line 181) | inline StorageIndex* innerNonZeroPtr() { return m_innerNonZeros; }
  function Storage (line 184) | inline Storage& data() { return m_data; }
  function Scalar (line 190) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 208) | inline Scalar& coeffRef(Index row, Index col)
  function reserve (line 265) | inline void reserve(Index reserveSize)
  function reserveInnerVectors (line 300) | void reserveInnerVectors(const SizesType& reserveSizes)
  function Scalar (line 394) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 406) | inline Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)
  function startVec (line 416) | inline void startVec(Index outer)
  function finalize (line 426) | inline void finalize()
  function sumupDuplicates (line 452) | void sumupDuplicates() { collapseDuplicates(internal::scalar_sum_op<Scal...
  function makeCompressed (line 468) | void makeCompressed()
  function uncompress (line 499) | void uncompress()
  function conservativeResize (line 557) | void conservativeResize(Index rows, Index cols)
  function resize (line 627) | void resize(Index rows, Index cols)
  function resizeNonZeros (line 650) | void resizeNonZeros(Index size)
  function ConstDiagonalReturnType (line 656) | const ConstDiagonalReturnType diagonal() const { return ConstDiagonalRet...
  function rows (line 665) | inline SparseMatrix()
  function class (line 875) | class SingletonVector
  type IndexPosPair (line 908) | struct IndexPosPair {
  type Array (line 941) | typedef Array<StorageIndex,Dynamic,1> ArrayXI;
  type default_prunning_func (line 1022) | struct default_prunning_func {
  function namespace (line 1033) | namespace internal {
  type typename (line 1192) | typedef typename internal::nested_eval<OtherDerived,2,typename
  type typename (line 1193) | typedef typename internal::remove_all<OtherCopy>::type _OtherCopy;
  type internal (line 1194) | typedef internal::evaluator<_OtherCopy> OtherCopyEval;
  function namespace (line 1503) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseMatrixBase.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparsePermutation.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 86) | namespace internal {
  type typename (line 100) | typedef typename permutation_matrix_product<Rhs,OnTheLeft,false,SparseSh...
  type evaluator (line 101) | typedef evaluator<PlainObject> Base;
  function explicit (line 107) | explicit product_evaluator(const XprType& xpr)
  type typename (line 123) | typedef typename permutation_matrix_product<Lhs,OnTheRight,false,SparseS...
  type evaluator (line 124) | typedef evaluator<PlainObject> Base;
  function explicit (line 130) | explicit product_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseProduct.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 71) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 72) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  function run (line 105) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 121) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 132) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type typename (line 143) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 144) | typedef evaluator<PlainObject> Base;
  function explicit (line 146) | explicit unary_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseRedux.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseRef.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 66) | typedef typename internal::conditional<MatchAtCompileTime,internal::true...
  type internal (line 132) | typedef internal::traits<Ref> Traits;
  type internal (line 181) | typedef internal::traits<Ref> Traits;
  function Ref (line 185) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 198) | m_hasCopy(false) {
  type internal (line 263) | typedef internal::traits<Ref> Traits;
  type internal (line 299) | typedef internal::traits<Ref> Traits;
  function Ref (line 303) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 316) | m_hasCopy(false) {
  function namespace (line 349) | namespace internal {
  type Ref (line 368) | typedef Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 370) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 378) | typedef Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, Stride...
  function explicit (line 380) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 388) | typedef Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 390) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseSelfAdjointView.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 208) | namespace internal {
  type SparseSelfAdjoint2Sparse (line 220) | struct SparseSelfAdjoint2Sparse {}
  type AssignmentKind (line 222) | struct AssignmentKind
  type SparseSelfAdjoint2Sparse (line 222) | typedef SparseSelfAdjoint2Sparse Kind;
  type AssignmentKind (line 223) | struct AssignmentKind
  type Sparse2Sparse (line 223) | typedef Sparse2Sparse Kind;
  type internal (line 229) | typedef internal::assign_op<typename
  type typename (line 287) | typedef typename internal::nested_eval<SparseLhsType,DenseRhsType::MaxCo...
  type typename (line 288) | typedef typename internal::remove_all<SparseLhsTypeNested>::type SparseL...
  type evaluator (line 289) | typedef evaluator<SparseLhsTypeNestedCleaned> LhsEval;
  type typename (line 290) | typedef typename LhsEval::InnerIterator LhsIterator;
  type typename (line 291) | typedef typename SparseLhsType::Scalar LhsScalar;
  type typename (line 350) | typedef typename LhsView::_MatrixTypeNested Lhs;
  type typename (line 351) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 352) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type typename (line 367) | typedef typename RhsView::_MatrixTypeNested Rhs;
  type typename (line 368) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 369) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type Product (line 386) | typedef Product<LhsView, Rhs, DefaultProduct> XprType;
  type typename (line 387) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 388) | typedef evaluator<PlainObject> Base;
  type Product (line 406) | typedef Product<Lhs, RhsView, DefaultProduct> XprType;
  type typename (line 407) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 408) | typedef evaluator<PlainObject> Base;
  type typename (line 432) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 433) | typedef typename MatrixType::Scalar Scalar;
  type SparseMatrix (line 434) | typedef SparseMatrix<Scalar,DestOrder,StorageIndex> Dest;
  type Matrix (line 435) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 436) | typedef evaluator<MatrixType> MatEval;
  type typename (line 437) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 522) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 523) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 525) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 526) | typedef evaluator<MatrixType> MatEval;
  type typename (line 527) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 604) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 613) | typedef typename MatrixType::Nested MatrixTypeNested;
  type typename (line 614) | typedef typename internal::remove_all<MatrixTypeNested>::type NestedExpr...
  type SparseSymmetricPermutationProduct (line 637) | typedef SparseSymmetricPermutationProduct<MatrixType,Mode> SrcXprType;
  type typename (line 638) | typedef typename DstXprType::StorageIndex DstIndex;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseSolverBase.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
  function namespace (line 13) | namespace Eigen {
  function run (line 117) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 130) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 150) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 162) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 174) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 186) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseTranspose.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 52) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseTriangularView.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 66) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseUtil.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 98) | typedef typename traits<T>::Scalar Scalar_;
  type typename (line 99) | typedef typename traits<T>::StorageIndex StorageIndex_;
  type typename (line 113) | typedef typename traits<T>::Scalar Scalar_;
  type typename (line 114) | typedef typename traits<T>::StorageIndex StorageIndex_;
  type SparseTriangularShape (line 137) | struct SparseTriangularShape  { static std::string debugName() { return ...
  type LowerBoundIndex (line 144) | struct LowerBoundIndex {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseVector.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 86) | EIGEN_STRONG_INLINE const Scalar* valuePtr() const { return m_data.value...
  function EIGEN_STRONG_INLINE (line 87) | EIGEN_STRONG_INLINE Scalar* valuePtr() { return m_data.valuePtr(); }
  function EIGEN_STRONG_INLINE (line 89) | EIGEN_STRONG_INLINE const StorageIndex* innerIndexPtr() const { return m...
  function EIGEN_STRONG_INLINE (line 90) | EIGEN_STRONG_INLINE StorageIndex* innerIndexPtr() { return m_data.indexP...
  function StorageIndex (line 92) | inline const StorageIndex* outerIndexPtr() const { return 0; }
  function StorageIndex (line 93) | inline StorageIndex* outerIndexPtr() { return 0; }
  function StorageIndex (line 94) | inline const StorageIndex* innerNonZeroPtr() const { return 0; }
  function StorageIndex (line 95) | inline StorageIndex* innerNonZeroPtr() { return 0; }
  function Storage (line 98) | inline Storage& data() { return m_data; }
  function Scalar (line 102) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 107) | inline Scalar coeff(Index i) const
  function Scalar (line 113) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 125) | inline Scalar& coeffRef(Index i)
  type typename (line 135) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  function setZero (line 137) | inline void setZero() { m_data.clear(); }
  function startVec (line 142) | inline void startVec(Index outer)
  function Scalar (line 148) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 154) | inline Scalar& insertBack(Index i)
  function Scalar (line 166) | inline Scalar& insertBackUnordered(Index i)
  function Scalar (line 172) | inline Scalar& insert(Index row, Index col)
  function reserve (line 204) | inline void reserve(Index reserveSize) { m_data.reserve(reserveSize); }
  function finalize (line 207) | inline void finalize() {}
  function resize (line 223) | void resize(Index rows, Index cols)
  function resize (line 233) | void resize(Index newSize)
  function conservativeResize (line 246) | void conservativeResize(Index newSize)
  function resizeNonZeros (line 257) | void resizeNonZeros(Index size) { m_data.resize(size); }
  function EIGEN_DEPRECATED (line 356) | EIGEN_DEPRECATED Scalar& fill(Index r, Index c)
  function EIGEN_DEPRECATED (line 363) | EIGEN_DEPRECATED Scalar& fill(Index i)
  function EIGEN_DEPRECATED (line 370) | EIGEN_DEPRECATED Scalar& fillrand(Index r, Index c)
  function EIGEN_DEPRECATED (line 377) | EIGEN_DEPRECATED Scalar& fillrand(Index i)
  function EIGEN_DEPRECATED (line 383) | EIGEN_DEPRECATED void endFill() {}
  function EIGEN_DEPRECATED (line 387) | EIGEN_DEPRECATED Storage& _data() { return m_data; }
  function namespace (line 407) | namespace internal {
  type internal (line 455) | typedef internal::evaluator<Src> SrcEvaluatorType;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/SparseView.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseCore/TriangularSolver.h
  function namespace (line 13) | namespace Eigen {
  type evaluator (line 107) | typedef evaluator<Lhs> LhsEval;
  type typename (line 108) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 109) | static void run(const Lhs& lhs, Rhs& other)
  type evaluator (line 142) | typedef evaluator<Lhs> LhsEval;
  type typename (line 143) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 144) | static void run(const Lhs& lhs, Rhs& other)
  type typename (line 185) | typedef typename internal::conditional<copy,
  function namespace (line 198) | namespace internal {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU.h
  function namespace (line 15) | namespace Eigen {
  type MatrixType_ (line 139) | typedef MatrixType_ MatrixType;
  type OrderingType_ (line 140) | typedef OrderingType_ OrderingType;
  type typename (line 141) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 142) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 143) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 144) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> NCMatrix;
  type internal (line 145) | typedef internal::MappedSuperNodalMatrix<Scalar, StorageIndex> SCMatrix;
  type Matrix (line 146) | typedef Matrix<Scalar,Dynamic,1> ScalarVector;
  type Matrix (line 147) | typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
  type PermutationMatrix (line 148) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  type internal (line 149) | typedef internal::SparseLUImpl<Scalar, StorageIndex> Base;
  function explicit (line 162) | explicit SparseLU(const MatrixType& matrix)
  function compute (line 182) | void compute (const MatrixType& matrix)
  function isSymmetric (line 232) | void isSymmetric(bool sym)
  function setPivotThreshold (line 275) | void setPivotThreshold(const RealScalar& thresh)
  function Scalar (line 350) | Scalar absDeterminant()
  function Scalar (line 406) | Scalar signDeterminant()
  function Scalar (line 434) | Scalar determinant()
  type typename (line 801) | typedef typename MappedSupernodalType::Scalar Scalar;
  function explicit (line 802) | explicit SparseLUMatrixLReturnType(const MappedSupernodalType& mapL) : m...
  type typename (line 823) | typedef typename MatrixLType::Scalar Scalar;

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLUImpl.h
  function namespace (line 12) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_Memory.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_Structs.h
  function namespace (line 71) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_Utils.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_column_bmod.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_column_dfs.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h
  function namespace (line 32) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h
  function namespace (line 31) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_panel_dfs.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_pivotL.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_pruneL.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseLU/SparseLU_relax_snode.h
  function namespace (line 31) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SparseQR/SparseQR.h
  function namespace (line 14) | namespace Eigen {
  type MatrixType_ (line 91) | typedef MatrixType_ MatrixType;
  type OrderingType_ (line 92) | typedef OrderingType_ OrderingType;
  type typename (line 93) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 94) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 95) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 96) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> QRMatrixType;
  type Matrix (line 97) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;
  type Matrix (line 98) | typedef Matrix<Scalar, Dynamic, 1> ScalarVector;
  type PermutationMatrix (line 99) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  function compute (line 127) | void compute(const MatrixType& mat)
  function setPivotThreshold (line 235) | void setPivotThreshold(const RealScalar& threshold)
  function _sort_matrix_Q (line 276) | inline void _sort_matrix_Q()
  type SparseQR_QProduct (line 306) | struct SparseQR_QProduct
  type typename (line 615) | typedef typename SparseQRType::QRMatrixType MatrixType;
  type typename (line 616) | typedef typename SparseQRType::Scalar Scalar;
  type typename (line 676) | typedef typename SparseQRType::Scalar Scalar;
  type Matrix (line 677) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  function explicit (line 682) | explicit SparseQRMatrixQReturnType(const SparseQRType& qr) : m_qr(qr) {}
  function explicit (line 707) | explicit SparseQRMatrixQTransposeReturnType(const SparseQRType& qr) : m_...
  function namespace (line 716) | namespace internal {
  type typename (line 746) | typedef typename DstXprType::Scalar Scalar;
  type typename (line 747) | typedef typename DstXprType::StorageIndex StorageIndex;
  function run (line 748) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: VO_Module/thirdparty/eigen/Eigen/src/StlSupport/StdDeque.h
  function namespace (line 50) | namespace std {

FILE: VO_Module/thirdparty/eigen/Eigen/src/StlSupport/StdList.h
  function namespace (line 49) | namespace std

FILE: VO_Module/thirdparty/eigen/Eigen/src/StlSupport/StdVector.h
  function namespace (line 50) | namespace std {

FILE: VO_Module/thirdparty/eigen/Eigen/src/StlSupport/details.h
  function namespace (line 18) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/SuperLUSupport/SuperLUSupport.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/UmfPackSupport/UmfPackSupport.h
  function namespace (line 23) | namespace Eigen {
  function UmfpackControl (line 432) | inline UmfpackControl& umfpackControl()
  function printUmfpackControl (line 459) | void printUmfpackControl()
  function printUmfpackInfo (line 468) | void printUmfpackInfo()
  function printUmfpackStatus (line 478) | void printUmfpackStatus() {
  function Scalar (line 487) | Scalar determinant() const;
  function factorize_impl (line 518) | void factorize_impl()
  function grab (line 536) | void grab(const UmfpackMatrixRef &A)

FILE: VO_Module/thirdparty/eigen/Eigen/src/misc/Image.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/misc/Kernel.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/misc/RealSvd2x2.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/Eigen/src/misc/blas.h
  type BLASLONG (line 12) | typedef long long BLASLONG;
  type BLASULONG (line 13) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 15) | typedef long BLASLONG;
  type BLASULONG (line 16) | typedef unsigned long BLASULONG;

FILE: VO_Module/thirdparty/eigen/Eigen/src/misc/lapacke.h
  type lapack_logical (line 132) | typedef lapack_logical (*LAPACK_S_SELECT2) ( const float*, const float* );
  type lapack_logical (line 133) | typedef lapack_logical (*LAPACK_S_SELECT3)
  type lapack_logical (line 135) | typedef lapack_logical (*LAPACK_D_SELECT2) ( const double*, const double...
  type lapack_logical (line 136) | typedef lapack_logical (*LAPACK_D_SELECT3)
  type lapack_logical (line 139) | typedef lapack_logical (*LAPACK_C_SELECT1) ( const lapack_complex_float* );
  type lapack_logical (line 140) | typedef lapack_logical (*LAPACK_C_SELECT2)
  type lapack_logical (line 142) | typedef lapack_logical (*LAPACK_Z_SELECT1) ( const lapack_complex_double...
  type lapack_logical (line 143) | typedef lapack_logical (*LAPACK_Z_SELECT2)

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/ArrayCwiseBinaryOps.h
  function Derived (line 330) | const Derived>

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/ArrayCwiseUnaryOps.h
  type CwiseUnaryOp (line 3) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 4) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 5) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 6) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 7) | typedef CwiseUnaryOp<internal::scalar_rsqrt_op<Scalar>, const
  type CwiseUnaryOp (line 8) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 9) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const
  type CwiseUnaryOp (line 10) | typedef CwiseUnaryOp<internal::scalar_boolean_not_op<Scalar>, const
  type CwiseUnaryOp (line 12) | typedef CwiseUnaryOp<internal::scalar_exp_op<Scalar>, const
  type CwiseUnaryOp (line 13) | typedef CwiseUnaryOp<internal::scalar_expm1_op<Scalar>, const
  type CwiseUnaryOp (line 14) | typedef CwiseUnaryOp<internal::scalar_log_op<Scalar>, const
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_log1p_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_log10_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_log2_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_cos_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sin_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_tan_op<Scalar>, const
  type CwiseUnaryOp (line 21) | typedef CwiseUnaryOp<internal::scalar_acos_op<Scalar>, const
  type CwiseUnaryOp (line 22) | typedef CwiseUnaryOp<internal::scalar_asin_op<Scalar>, const
  type CwiseUnaryOp (line 23) | typedef CwiseUnaryOp<internal::scalar_atan_op<Scalar>, const
  type CwiseUnaryOp (line 24) | typedef CwiseUnaryOp<internal::scalar_tanh_op<Scalar>, const
  type CwiseUnaryOp (line 25) | typedef CwiseUnaryOp<internal::scalar_logistic_op<Scalar>, const
  type CwiseUnaryOp (line 26) | typedef CwiseUnaryOp<internal::scalar_sinh_op<Scalar>, const
  type CwiseUnaryOp (line 28) | typedef CwiseUnaryOp<internal::scalar_atanh_op<Scalar>, const
  type CwiseUnaryOp (line 29) | typedef CwiseUnaryOp<internal::scalar_asinh_op<Scalar>, const
  type CwiseUnaryOp (line 30) | typedef CwiseUnaryOp<internal::scalar_acosh_op<Scalar>, const
  type CwiseUnaryOp (line 32) | typedef CwiseUnaryOp<internal::scalar_cosh_op<Scalar>, const
  type CwiseUnaryOp (line 33) | typedef CwiseUnaryOp<internal::scalar_square_op<Scalar>, const
  type CwiseUnaryOp (line 34) | typedef CwiseUnaryOp<internal::scalar_cube_op<Scalar>, const
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_round_op<Scalar>, const
  type CwiseUnaryOp (line 36) | typedef CwiseUnaryOp<internal::scalar_rint_op<Scalar>, const
  type CwiseUnaryOp (line 37) | typedef CwiseUnaryOp<internal::scalar_floor_op<Scalar>, const
  type CwiseUnaryOp (line 38) | typedef CwiseUnaryOp<internal::scalar_ceil_op<Scalar>, const
  type CwiseUnaryOp (line 39) | typedef CwiseUnaryOp<internal::scalar_isnan_op<Scalar>, const
  type CwiseUnaryOp (line 40) | typedef CwiseUnaryOp<internal::scalar_isinf_op<Scalar>, const
  type CwiseUnaryOp (line 41) | typedef CwiseUnaryOp<internal::scalar_isfinite_op<Scalar>, const
  function AbsReturnType (line 51) | const AbsReturnType
  function Abs2ReturnType (line 79) | const Abs2ReturnType
  type ShiftRightXpr (line 500) | struct ShiftRightXpr {
  type ShiftLeftXpr (line 520) | struct ShiftLeftXpr {

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/BlockMethods.h
  type Block (line 14) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, 1, ...
  type Block (line 15) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 17) | typedef Block<Derived, 1, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 18) | typedef const Block<const Derived, 1, internal::traits<Derived>::ColsAtC...
  type Block (line 20) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, Dyn...
  type Block (line 21) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 23) | typedef Block<Derived, Dynamic, internal::traits<Derived>::ColsAtCompile...
  type Block (line 24) | typedef const Block<const Derived, Dynamic, internal::traits<Derived>::C...
  type Block (line 26) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, N, ...
  type Block (line 27) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 29) | typedef Block<Derived, N, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 30) | typedef const Block<const Derived, N, internal::traits<Derived>::ColsAtC...
  type Block (line 32) | typedef Block<Derived> BlockXpr;
  type Block (line 33) | typedef const Block<const Derived> ConstBlockXpr;
  type Block (line 35) | typedef Block<Derived,Rows,Cols> Type;
  type Block (line 36) | typedef Block<const Derived,Rows,Cols> Type;
  type VectorBlock (line 38) | typedef VectorBlock<Derived> SegmentReturnType;
  type VectorBlock (line 39) | typedef const VectorBlock<const Derived> ConstSegmentReturnType;
  type VectorBlock (line 40) | typedef VectorBlock<Derived, Size> Type;
  type VectorBlock (line 41) | typedef const VectorBlock<const Derived, Size> Type;
  type Block (line 44) | typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true>   ...
  type Block (line 45) | typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,tr...
  type Block (line 48) | typedef Block<Derived,Dynamic,Dynamic,true> InnerVectorsReturnType;
  type Block (line 49) | typedef Block<const Derived,Dynamic,Dynamic,true> ConstInnerVectorsRetur...
  function typename (line 582) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 657) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 733) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 809) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 884) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 960) | const typename ConstNColsBlockXpr<...>::Type
  function EIGEN_STRONG_INLINE (line 1096) | EIGEN_STRONG_INLINE
  function ConstColXpr (line 1104) | ConstColXpr col(Index i) const
  function EIGEN_STRONG_INLINE (line 1117) | EIGEN_STRONG_INLINE
  function ConstRowXpr (line 1125) | ConstRowXpr row(Index i) const
  function ConstInnerVectorReturnType (line 1387) | const ConstInnerVectorReturnType innerVector(Index outer) const
  function InnerVectorsReturnType (line 1394) | InnerVectorsReturnType
  function ConstInnerVectorsReturnType (line 1407) | const ConstInnerVectorsReturnType

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/CommonCwiseUnaryOps.h
  type typename (line 16) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 21) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 26) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type CwiseUnaryOp (line 31) | typedef CwiseUnaryOp<internal::scalar_imag_op<Scalar>, const
  type CwiseUnaryView (line 33) | typedef CwiseUnaryView<internal::scalar_imag_ref_op<Scalar>, Derived> No...
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const
  type typename (line 48) | typedef typename internal::cast_return_type<Derived,const

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/IndexedViewMethods.h
  type typename (line 36) | typedef typename internal::IndexedViewCompatibleType<Index,1>::type IvcI...
  type IndexedView (line 62) | typedef IndexedView<EIGEN_INDEXED_VIEW_METHOD_CONST Derived,
  type typename (line 87) | typedef typename internal::traits<typename EIGEN_INDEXED_VIEW_METHOD_TYP...

FILE: VO_Module/thirdparty/eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const

FILE: VO_Module/thirdparty/eigen/bench/BenchSparseUtil.h
  type SCALAR (line 22) | typedef SCALAR Scalar;
  type Matrix (line 23) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 24) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type SparseMatrix (line 25) | typedef SparseMatrix<Scalar> EigenSparseMatrix;
  function fillMatrix (line 27) | void fillMatrix(float density, int rows, int cols,  EigenSparseMatrix& dst)
  function fillMatrix2 (line 42) | void fillMatrix2(int nnzPerCol, int rows, int cols,  EigenSparseMatrix& ...
  function eiToDense (line 62) | void eiToDense(const EigenSparseMatrix& src, DenseMatrix& dst)
  type gmm (line 72) | typedef gmm::csc_matrix<Scalar> GmmSparse;
  type gmm (line 73) | typedef gmm::col_matrix< gmm::wsvector<Scalar> > GmmDynSparse;
  function eiToGmm (line 74) | void eiToGmm(const EigenSparseMatrix& src, GmmSparse& dst)
  type mtl (line 86) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::col_...
  type mtl (line 87) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::row_...
  function eiToMtl (line 88) | void eiToMtl(const EigenSparseMatrix& src, MtlSparse& dst)
  function eiToCSparse (line 101) | void eiToCSparse(const EigenSparseMatrix& src, cs* &dst)
  type boost (line 126) | typedef boost::numeric::ublas::compressed_matrix<Scalar,boost::numeric::...
  function eiToUblas (line 128) | void eiToUblas(const EigenSparseMatrix& src, UBlasSparse& dst)

FILE: VO_Module/thirdparty/eigen/bench/BenchTimer.h
  function escape (line 30) | static void escape(void *p) {
  function clobber (line 36) | static void clobber() {
  function namespace (line 44) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/bench/analyze-blocking-sizes.cpp
  function log2_pot (line 34) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 40) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  type size_triple_t (line 46) | struct size_triple_t
    method size_triple_t (line 49) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 50) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 51) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 52) | size_triple_t(uint16_t compact)
    method is_cubic (line 58) | bool is_cubic() const { return k == m && m == n; }
  function ostream (line 61) | ostream& operator<<(ostream& s, const size_triple_t& t)
  type inputfile_entry_t (line 66) | struct inputfile_entry_t
  type inputfile_t (line 74) | struct inputfile_t
    type type_t (line 76) | enum class type_t {
    method inputfile_t (line 86) | inputfile_t(const string& fname)
  type preprocessed_inputfile_entry_t (line 195) | struct preprocessed_inputfile_entry_t
  function lower_efficiency (line 203) | bool lower_efficiency(const preprocessed_inputfile_entry_t& e1, const pr...
  type preprocessed_inputfile_t (line 208) | struct preprocessed_inputfile_t
    method preprocessed_inputfile_t (line 213) | preprocessed_inputfile_t(const inputfile_t& inputfile)
    method import_input_file_range_one_product_size (line 233) | void import_input_file_range_one_product_size(
  function check_all_files_in_same_exact_order (line 257) | void check_all_files_in_same_exact_order(
  function efficiency_of_subset (line 297) | float efficiency_of_subset(
  function dump_table_for_subset (line 334) | void dump_table_for_subset(
  function efficiency_of_partition (line 400) | float efficiency_of_partition(
  function make_first_subset (line 411) | void make_first_subset(size_t subset_size, vector<size_t>& out_subset, s...
  function is_last_subset (line 420) | bool is_last_subset(const vector<size_t>& subset, size_t set_size)
  function next_subset (line 425) | void next_subset(vector<size_t>& inout_subset, size_t set_size)
  function is_number_of_subsets_feasible (line 447) | bool is_number_of_subsets_feasible(size_t n, size_t p)
  function max_feasible_subset_size (line 461) | size_t max_feasible_subset_size(size_t n)
  function find_subset_with_efficiency_higher_than (line 473) | void find_subset_with_efficiency_higher_than(
  function find_partition_with_efficiency_higher_than (line 545) | void find_partition_with_efficiency_higher_than(
  function print_partition (line 568) | void print_partition(
  type action_t (line 589) | struct action_t
    method run (line 592) | virtual void run(const vector<string>&) const { abort(); }
  type partition_action_t (line 596) | struct partition_action_t : action_t
    method run (line 599) | virtual void run(const vector<string>& input_filenames) const override
  type evaluate_defaults_action_t (line 668) | struct evaluate_defaults_action_t : action_t
    type results_entry_t (line 670) | struct results_entry_t {
    method ostream (line 678) | ostream& operator<<(ostream& s, const results_entry_t& entry)
    method lower_efficiency (line 689) | static bool lower_efficiency(const results_entry_t& e1, const results_...
    method show_usage_and_exit (line 693) | void show_usage_and_exit() const
    method run (line 700) | virtual void run(const vector<string>& input_filenames) const override
  function show_usage_and_exit (line 798) | void show_usage_and_exit(int argc, char* argv[],
  function main (line 810) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/bench/basicbenchmark.cpp
  function main (line 6) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchBlasGemm.cpp
  function main (line 34) | int main(int argc, char *argv[])
  function bench_eigengemm (line 165) | void bench_eigengemm(MyMatrix& mc, const MyMatrix& ma, const MyMatrix& m...
  function check_product (line 174) | void check_product(int M, int N, int K)
  function check_product (line 206) | void check_product(void)

FILE: VO_Module/thirdparty/eigen/bench/benchCholesky.cpp
  function benchLLT (line 28) | __attribute__ ((noinline)) void benchLLT(const MatrixType& m)
  function main (line 119) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchEigenSolver.cpp
  function benchEigenSolver (line 34) | __attribute__ ((noinline)) void benchEigenSolver(const MatrixType& m)
  function main (line 189) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchFFT.cpp
  function string (line 26) | string nameof<float>() {return "float";}
  function string (line 27) | string nameof<double>() {return "double";}
  function string (line 28) | string nameof<long double>() {return "long double";}
  function bench (line 44) | void bench(int nfft,bool fwd,bool unscaled=false, bool halfspec=false)
  function main (line 97) | int main(int argc,char ** argv)

FILE: VO_Module/thirdparty/eigen/bench/benchGeometry.cpp
  type func_opt (line 14) | enum func_opt
  type func (line 23) | struct func
  type func<res, arg1, arg2, TV> (line 26) | struct func<res, arg1, arg2, TV>
    method EIGEN_DONT_INLINE (line 28) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATV> (line 36) | struct func<res, arg1, arg2, TMATV>
    method EIGEN_DONT_INLINE (line 38) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATVMAT> (line 46) | struct func<res, arg1, arg2, TMATVMAT>
    method EIGEN_DONT_INLINE (line 48) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type test_transform (line 56) | struct test_transform
    method run (line 58) | static void run()

FILE: VO_Module/thirdparty/eigen/bench/benchVecAdd.cpp
  function main (line 21) | int main(int argc, char* argv[])
  function benchVec (line 79) | void benchVec(MatrixXf& a, MatrixXf& b, MatrixXf& c)
  function benchVec (line 85) | void benchVec(VectorXf& a, VectorXf& b, VectorXf& c)
  function benchVec (line 91) | void benchVec(Scalar* a, Scalar* b, Scalar* c, int size)

FILE: VO_Module/thirdparty/eigen/bench/bench_gemm.cpp
  function blas_gemm (line 87) | void blas_gemm(const A& a, const B& b, MatrixXf& c)
  function blas_gemm (line 99) | void blas_gemm(const A& a, const B& b, MatrixXd& c)
  function blas_gemm (line 111) | void blas_gemm(const A& a, const B& b, MatrixXcf& c)
  function blas_gemm (line 123) | void blas_gemm(const A& a, const B& b, MatrixXcd& c)
  function matlab_cplx_cplx (line 138) | void matlab_cplx_cplx(const M& ar, const M& ai, const M& br, const M& bi...
  function matlab_real_cplx (line 147) | void matlab_real_cplx(const M& a, const M& br, const M& bi, M& cr, M& ci)
  function matlab_cplx_real (line 153) | void matlab_cplx_real(const M& ar, const M& ai, const M& b, M& cr, M& ci)
  function EIGEN_DONT_INLINE (line 162) | EIGEN_DONT_INLINE void gemm(const A& a, const B& b, C& c)
  function main (line 167) | int main(int argc, char ** argv)

FILE: VO_Module/thirdparty/eigen/bench/bench_move_semantics.cpp
  function copy_matrix (line 19) | void copy_matrix(MatrixType& m)
  function move_matrix (line 26) | void move_matrix(MatrixType&& m)
  function bench (line 33) | void bench(const std::string& label)
  function main (line 51) | int main()

FILE: VO_Module/thirdparty/eigen/bench/bench_norm.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE typename T::Scalar sqsumNorm(T& v)
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE typename T::Scalar stableNorm(T& v)
  function EIGEN_DONT_INLINE (line 21) | EIGEN_DONT_INLINE typename T::Scalar hypotNorm(T& v)
  function EIGEN_DONT_INLINE (line 27) | EIGEN_DONT_INLINE typename T::Scalar blueNorm(T& v)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
  function EIGEN_DONT_INLINE (line 56) | EIGEN_DONT_INLINE typename T::Scalar twopassNorm(T& v)
  function EIGEN_DONT_INLINE (line 64) | EIGEN_DONT_INLINE typename T::Scalar bl2passNorm(T& v)
  function EIGEN_DONT_INLINE (line 70) | EIGEN_DONT_INLINE typename T::Scalar divacNorm(T& v)
  type Eigen (line 85) | namespace Eigen {
    type internal (line 86) | namespace internal {
      function Packet4f (line 88) | Packet4f plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a...
      function Packet2d (line 89) | Packet2d plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a...
      function Packet4f (line 91) | Packet4f pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot...
      function Packet2d (line 92) | Packet2d pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot...
  function EIGEN_DONT_INLINE (line 98) | EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
  function check_accuracy (line 246) | void check_accuracy(double basef, double based, int s)
  function check_accuracy_var (line 263) | void check_accuracy_var(int ef0, int ef1, int ed0, int ed1, int s)
  function main (line 283) | int main(int argc, char** argv)

FILE: VO_Module/thirdparty/eigen/bench/bench_reverse.cpp
  function bench_reverse (line 18) | __attribute__ ((noinline)) void bench_reverse(const MatrixType& m)
  function main (line 60) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/bench/bench_sum.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/bench/benchmark-blocking-sizes.cpp
  type size_triple_t (line 62) | struct size_triple_t
    method size_triple_t (line 65) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 66) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 67) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 68) | size_triple_t(uint16_t compact)
  function log2_pot (line 76) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 85) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  function compact_size_triple (line 90) | uint16_t compact_size_triple(const size_triple_t& t)
  type benchmark_t (line 97) | struct benchmark_t
    method benchmark_t (line 103) | benchmark_t()
    method benchmark_t (line 110) | benchmark_t(size_t pk, size_t pm, size_t pn,
    method benchmark_t (line 117) | benchmark_t(size_t pk, size_t pm, size_t pn)
  function ostream (line 127) | ostream& operator<<(ostream& s, const benchmark_t& b)
  function print_cpuinfo (line 231) | void print_cpuinfo()
  function string (line 252) | string type_name()
  function string (line 258) | string type_name<float>()
  function string (line 264) | string type_name<double>()
  type action_t (line 269) | struct action_t
    method run (line 272) | virtual void run() const { abort(); }
  function show_usage_and_exit (line 276) | void show_usage_and_exit(int /*argc*/, char* argv[],
  function measure_clock_speed (line 297) | float measure_clock_speed()
  type human_duration_t (line 318) | struct human_duration_t
    method human_duration_t (line 321) | human_duration_t(int s) : seconds(s) {}
  function ostream (line 324) | ostream& operator<<(ostream& s, const human_duration_t& d)
  function serialize_benchmarks (line 345) | void serialize_benchmarks(const char* filename, const vector<benchmark_t...
  function deserialize_benchmarks (line 361) | bool deserialize_benchmarks(const char* filename, vector<benchmark_t>& b...
  function try_run_some_benchmarks (line 385) | void try_run_some_benchmarks(
  function run_benchmarks (line 501) | void run_benchmarks(vector<benchmark_t>& benchmarks)
  type measure_all_pot_sizes_action_t (line 565) | struct measure_all_pot_sizes_action_t : action_t
    method run (line 568) | virtual void run() const
  type measure_default_sizes_action_t (line 596) | struct measure_default_sizes_action_t : action_t
    method run (line 599) | virtual void run() const
  function main (line 621) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchmark.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchmarkSlice.cpp
  function main (line 18) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchmarkX.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/benchmarkXcwise.cpp
  function main (line 21) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_aat_product.hh
  class Action_aat_product (line 32) | class Action_aat_product {
    method Action_aat_product (line 38) | Action_aat_product( int size ):_size(size)
    method Action_aat_product (line 60) | Action_aat_product( const  Action_aat_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_ata_product.hh
  class Action_ata_product (line 32) | class Action_ata_product {
    method Action_ata_product (line 38) | Action_ata_product( int size ):_size(size)
    method Action_ata_product (line 60) | Action_ata_product( const  Action_ata_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_atv_product.hh
  class Action_atv_product (line 32) | class Action_atv_product {
    method Action_atv_product (line 36) | Action_atv_product( int size ) : _size(size)
    method Action_atv_product (line 59) | Action_atv_product( const  Action_atv_product & )
    method name (line 78) | static inline std::string name() { return "atv_" + Interface::name(); }
    method nb_op_base (line 80) | double nb_op_base( void ) { return 2.0*_size*_size; }
    method initialize (line 82) | inline void initialize( void ){
    method BTL_DONT_INLINE (line 88) | BTL_DONT_INLINE void calculate( void ) {
    method check_result (line 94) | void check_result( void )

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_axpby.hh
  class Action_axpby (line 31) | class Action_axpby {
    method Action_axpby (line 36) | Action_axpby( int size ):_alpha(0.5),_beta(0.95),_size(size)
    method Action_axpby (line 54) | Action_axpby( const  Action_axpby & )
    method name (line 73) | static inline std::string name( void )
    method nb_op_base (line 78) | double nb_op_base( void ){
    method initialize (line 82) | inline void initialize( void ){
    method calculate (line 87) | inline void calculate( void ) {
    method check_result (line 93) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_axpy.hh
  class Action_axpy (line 32) | class Action_axpy {
    method Action_axpy (line 38) | Action_axpy( int size ):_coef(1.0),_size(size)
    method Action_axpy (line 61) | Action_axpy( const  Action_axpy & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 98) | inline void calculate( void ) {
    method check_result (line 104) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_cholesky.hh
  class Action_cholesky (line 31) | class Action_cholesky {
    method Action_cholesky (line 37) | Action_cholesky( int size ):_size(size)
    method Action_cholesky (line 64) | Action_cholesky( const  Action_cholesky & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 97) | inline void calculate( void ) {
    method check_result (line 101) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_ger.hh
  class Action_ger (line 27) | class Action_ger {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_ger( int size ):_size(size)
    method Action_ger (line 53) | Action_ger( const  Action_ger & )
    method BTL_DONT_INLINE (line 60) | BTL_DONT_INLINE ~Action_ger( void ){
    method name (line 72) | static inline std::string name( void )
    method nb_op_base (line 77) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 81) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 93) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_hessenberg.hh
  class Action_hessenberg (line 31) | class Action_hessenberg {
    method Action_hessenberg (line 37) | Action_hessenberg( int size ):_size(size)
    method Action_hessenberg (line 63) | Action_hessenberg( const  Action_hessenberg & )
    method name (line 83) | static inline std::string name( void )
    method nb_op_base (line 88) | double nb_op_base( void ){
    method initialize (line 92) | inline void initialize( void ){
    method calculate (line 96) | inline void calculate( void ) {
    method check_result (line 100) | void check_result( void ){
  class Action_tridiagonalization (line 131) | class Action_tridiagonalization {
    method Action_tridiagonalization (line 137) | Action_tridiagonalization( int size ):_size(size)
    method Action_tridiagonalization (line 169) | Action_tridiagonalization( const  Action_tridiagonalization & )
    method name (line 189) | static inline std::string name( void ) { return "tridiagonalization_"+...
    method nb_op_base (line 191) | double nb_op_base( void ){
    method initialize (line 195) | inline void initialize( void ){
    method calculate (line 199) | inline void calculate( void ) {
    method check_result (line 203) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_lu_decomp.hh
  class Action_lu_decomp (line 31) | class Action_lu_decomp {
    method Action_lu_decomp (line 37) | Action_lu_decomp( int size ):_size(size)
    method Action_lu_decomp (line 57) | Action_lu_decomp( const  Action_lu_decomp & )
    method name (line 77) | static inline std::string name( void )
    method nb_op_base (line 82) | double nb_op_base( void ){
    method initialize (line 86) | inline void initialize( void ){
    method calculate (line 90) | inline void calculate( void ) {
    method check_result (line 94) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_lu_solve.hh
  class Action_lu_solve (line 32) | class Action_lu_solve
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 47) | static double calculate( int nb_calc, int size ) {

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_matrix_matrix_product.hh
  class Action_matrix_matrix_product (line 32) | class Action_matrix_matrix_product {
    method Action_matrix_matrix_product (line 38) | Action_matrix_matrix_product( int size ):_size(size)
    method Action_matrix_matrix_product (line 63) | Action_matrix_matrix_product( const  Action_matrix_matrix_product & )
    method name (line 89) | static inline std::string name( void )
    method nb_op_base (line 94) | double nb_op_base( void ){
    method initialize (line 98) | inline void initialize( void ){
    method calculate (line 106) | inline void calculate( void ) {
    method check_result (line 110) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_matrix_matrix_product_bis.hh
  class Action_matrix_matrix_product_bis (line 33) | class Action_matrix_matrix_product_bis {
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 46) | static double calculate( int nb_calc, int size ) {

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_matrix_vector_product.hh
  class Action_matrix_vector_product (line 32) | class Action_matrix_vector_product {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_matrix_vector_product( int size ):_size(size)
    method Action_matrix_vector_product (line 62) | Action_matrix_vector_product( const  Action_matrix_vector_product & )
    method BTL_DONT_INLINE (line 70) | BTL_DONT_INLINE ~Action_matrix_vector_product( void ){
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 97) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 105) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 111) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_partial_lu.hh
  class Action_partial_lu (line 31) | class Action_partial_lu {
    method Action_partial_lu (line 37) | Action_partial_lu( int size ):_size(size)
    method Action_partial_lu (line 59) | Action_partial_lu( const  Action_partial_lu & )
    method name (line 79) | static inline std::string name( void )
    method nb_op_base (line 84) | double nb_op_base( void ){
    method initialize (line 88) | inline void initialize( void ){
    method calculate (line 92) | inline void calculate( void ) {
    method check_result (line 96) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_rot.hh
  class Action_rot (line 27) | class Action_rot {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_rot( int size ):_size(size)
    method Action_rot (line 49) | Action_rot( const  Action_rot & )
    method BTL_DONT_INLINE (line 56) | BTL_DONT_INLINE ~Action_rot( void ){
    method name (line 65) | static inline std::string name( void )
    method nb_op_base (line 70) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 74) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 79) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 85) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_symv.hh
  class Action_symv (line 32) | class Action_symv {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_symv( int size ):_size(size)
    method Action_symv (line 60) | Action_symv( const  Action_symv & )
    method BTL_DONT_INLINE (line 67) | BTL_DONT_INLINE ~Action_symv( void ){
    method name (line 78) | static inline std::string name( void )
    method nb_op_base (line 83) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 95) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 101) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_syr2.hh
  class Action_syr2 (line 32) | class Action_syr2 {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_syr2( int size ):_size(size)
    method Action_syr2 (line 57) | Action_syr2( const  Action_syr2 & )
    method BTL_DONT_INLINE (line 64) | BTL_DONT_INLINE ~Action_syr2( void ){
    method name (line 75) | static inline std::string name( void )
    method nb_op_base (line 80) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 84) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 90) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 96) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_trisolve.hh
  class Action_trisolve (line 31) | class Action_trisolve {
    method Action_trisolve (line 37) | Action_trisolve( int size ):_size(size)
    method Action_trisolve (line 68) | Action_trisolve( const  Action_trisolve & )
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method initialize (line 97) | inline void initialize( void ){
    method calculate (line 101) | inline void calculate( void ) {
    method check_result (line 105) | void check_result(){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_trisolve_matrix.hh
  class Action_trisolve_matrix (line 32) | class Action_trisolve_matrix {
    method Action_trisolve_matrix (line 38) | Action_trisolve_matrix( int size ):_size(size)
    method Action_trisolve_matrix (line 76) | Action_trisolve_matrix( const  Action_trisolve_matrix & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/actions/action_trmm.hh
  class Action_trmm (line 32) | class Action_trmm {
    method Action_trmm (line 38) | Action_trmm( int size ):_size(size)
    method Action_trmm (line 76) | Action_trmm( const  Action_trmm & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/bench.hh
  function BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point )
  function BTL_DONT_INLINE (line 154) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point ){

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/btl.hh
  class BtlString (line 57) | class BtlString : public std::string
    method BtlString (line 60) | BtlString() : std::string() {}
    method BtlString (line 61) | BtlString(const BtlString& str) : std::string(static_cast<const std::s...
    method BtlString (line 62) | BtlString(const std::string& str) : std::string(str) {}
    method BtlString (line 63) | BtlString(const char* str) : std::string(str) {}
    method trim (line 67) | void trim( bool left = true, bool right = true )
    method split (line 81) | std::vector<BtlString> split( const BtlString& delims = "\t\n ") const
    method endsWith (line 108) | bool endsWith(const BtlString& str) const
    method contains (line 114) | bool contains(const BtlString& str) const
    method beginsWith (line 118) | bool beginsWith(const BtlString& str) const
    method BtlString (line 125) | BtlString toLowerCase( void )
    method BtlString (line 130) | BtlString toUpperCase( void )
    method isEquiv (line 138) | bool isEquiv(const BtlString& str) const
    method decomposePathAndFile (line 150) | void decomposePathAndFile(BtlString& path, BtlString& filename) const
  class BtlConfig (line 163) | class BtlConfig
    method BtlConfig (line 166) | BtlConfig()
    method BTL_DONT_INLINE (line 216) | BTL_DONT_INLINE static bool skipAction(const std::string& _name)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/init/init_function.hh
  function simple_function (line 23) | double simple_function(int index)
  function simple_function (line 28) | double simple_function(int index_i, int index_j)
  function pseudo_random (line 33) | double pseudo_random(int /*index*/)
  function pseudo_random (line 38) | double pseudo_random(int /*index_i*/, int /*index_j*/)
  function null_function (line 44) | double null_function(int /*index*/)
  function null_function (line 49) | double null_function(int /*index_i*/, int /*index_j*/)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/init/init_matrix.hh
  function BTL_DONT_INLINE (line 28) | BTL_DONT_INLINE void init_row(Vector & X, int size, int row){
  function BTL_DONT_INLINE (line 43) | BTL_DONT_INLINE void init_matrix(Vector &  A, int size){
  function BTL_DONT_INLINE (line 51) | BTL_DONT_INLINE void init_matrix_symm(Matrix&  A, int size){

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/init/init_vector.hh
  function init_vector (line 28) | void init_vector(Vector & X, int size){

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/static/bench_static.hh
  function BTL_DONT_INLINE (line 37) | BTL_DONT_INLINE  void bench_static(void)
  function BTL_DONT_INLINE (line 58) | BTL_DONT_INLINE  void bench_static(void)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/static/intel_bench_fixed_size.hh
  function bench_fixed_size (line 27) | double bench_fixed_size(int size, unsigned long long  & nb_calc,unsigned...

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/static/static_size_generator.hh
  type static_size_generator (line 29) | struct static_size_generator{
    method go (line 30) | static void go(vector<double> & tab_sizes, vector<double> & tab_mflops)
  type static_size_generator<1,Perf_Analyzer,Action,Interface> (line 44) | struct static_size_generator<1,Perf_Analyzer,Action,Interface>{
    method go (line 45) | static  void go(vector<double> & tab_sizes, vector<double> & tab_mflops)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/STL_perf_analyzer.hh
  class STL_Perf_Analyzer (line 27) | class STL_Perf_Analyzer{
    method STL_Perf_Analyzer (line 29) | STL_Perf_Analyzer(unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb_...
    method STL_Perf_Analyzer (line 33) | STL_Perf_Analyzer( const STL_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/STL_timer.hh
  class STL_Timer (line 30) | class STL_Timer {
    method STL_Timer (line 32) | STL_Timer(){ baseline = false; }
    method start (line 34) | void start(unsigned int r){
    method start_baseline (line 42) | void start_baseline(unsigned int r)
    method check (line 48) | bool check()
    method get_time (line 60) | double get_time( void )

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/mixed_perf_analyzer.hh
  class Mixed_Perf_Analyzer (line 30) | class Mixed_Perf_Analyzer{
    method Mixed_Perf_Analyzer (line 33) | Mixed_Perf_Analyzer( void ):_x86pa(),_ppa(),_use_ppa(true)
    method Mixed_Perf_Analyzer (line 37) | Mixed_Perf_Analyzer( const Mixed_Perf_Analyzer & ){
    method eval_mflops (line 46) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer.hh
  class Portable_Perf_Analyzer (line 28) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 30) | Portable_Perf_Analyzer( ):_nb_calc(0), m_time_action(0), _chronos(){
    method Portable_Perf_Analyzer (line 33) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE double eval_mflops(int size)
    method BTL_DONT_INLINE (line 76) | BTL_DONT_INLINE double time_calculate(Action & action)
    method get_nb_calc (line 89) | unsigned long long get_nb_calc()

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer_old.hh
  class Portable_Perf_Analyzer (line 27) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 29) | Portable_Perf_Analyzer( void ):_nb_calc(1),_nb_init(1),_chronos(){
    method Portable_Perf_Analyzer (line 32) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)
    method time_init (line 97) | inline double time_init(Action & action)
    method time_calculate (line 108) | inline double time_calculate(Action & action)
    method get_nb_calc (line 121) | unsigned long long get_nb_calc( void )

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/portable_timer.hh
  class Portable_Timer (line 47) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 95) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 139) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/x86_perf_analyzer.hh
  class X86_Perf_Analyzer (line 27) | class X86_Perf_Analyzer{
    method X86_Perf_Analyzer (line 29) | X86_Perf_Analyzer( unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb...
    method X86_Perf_Analyzer (line 34) | X86_Perf_Analyzer( const X86_Perf_Analyzer & ){
    method eval_mflops (line 43) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/timers/x86_timer.hh
  class X86_Timer (line 44) | class X86_Timer {
    method X86_Timer (line 48) | X86_Timer( void ):_frequency(FREQUENCY),_nb_sample(0)
    method start (line 53) | inline void start( void ){
    method stop (line 60) | inline void stop( void ){
    method frequency (line 67) | inline double frequency( void ){
    method get_elapsed_time_in_second (line 71) | double get_elapsed_time_in_second( void ){
    method get_click (line 78) | unsigned long long  get_click( void ){
    method find_frequency (line 84) | inline void find_frequency( void ){
    method add_get_click (line 111) | void  add_get_click( void ){
    method dump_statistics (line 119) | void dump_statistics(string filemane){
    method dump_history (line 133) | void dump_history(string filemane){
    method get_mean_clicks (line 153) | double get_mean_clicks( void ){
    method get_shortest_clicks (line 169) | double get_shortest_clicks( void ){
    method fill_history_clicks (line 175) | void fill_history_clicks( void ){
    method get_most_occured_clicks (line 184) | double get_most_occured_clicks( void ){
    method clear (line 204) | void clear( void )

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/utils/size_lin_log.hh
  function size_lin_log (line 26) | void size_lin_log(const int nb_point, const int /*size_min*/, const int ...

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/utils/size_log.hh
  function size_log (line 29) | void size_log(const int nb_point, const int size_min, const int size_max...

FILE: VO_Module/thirdparty/eigen/bench/btl/generic_bench/utils/xy_file.hh
  function read_xy_file (line 28) | bool read_xy_file(const std::string & filename, std::vector<int> & tab_s...
  function dump_xy_file (line 64) | void dump_xy_file(const Vector_A & X, const Vector_B & Y, const std::str...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/BLAS/blas.h
  type BLASLONG (line 7) | typedef long long BLASLONG;
  type BLASULONG (line 8) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 10) | typedef long BLASLONG;
  type BLASULONG (line 11) | typedef unsigned long BLASULONG;

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/BLAS/blas_interface.hh
  class blas_interface (line 54) | class blas_interface

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/BLAS/blas_interface_impl.hh
  class blas_interface<SCALAR> (line 4) | class blas_interface<SCALAR> : public c_interface_base<SCALAR>
    method name (line 12) | static inline std::string name()
    method matrix_vector_product (line 17) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 21) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 25) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 29) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method rot (line 33) | static inline void rot(gene_vector & A,  gene_vector & B, SCALAR c, SC...
    method atv_product (line 37) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 41) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method transposed_matrix_matrix_product (line 45) | static inline void transposed_matrix_matrix_product(gene_matrix & A, g...
    method ata_product (line 49) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 53) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method axpy (line 57) | static inline void axpy(SCALAR coef, const gene_vector & X, gene_vecto...
    method axpby (line 61) | static inline void axpby(SCALAR a, const gene_vector & X, SCALAR b, ge...
    method cholesky (line 66) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method partial_lu_decomp (line 75) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method trisolve_lower (line 84) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 89) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 94) | static inline void trmm(gene_matrix & A, gene_matrix & B, gene_matrix ...
    method lu_decomp (line 100) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method hessenberg (line 111) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...
    method tridiagonalization (line 127) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/BLAS/c_interface_base.h
  type std (line 14) | typedef std::vector<real>         stl_vector;
  type std (line 15) | typedef std::vector<stl_vector >  stl_matrix;
  type real (line 17) | typedef real* gene_matrix;
  type real (line 18) | typedef real* gene_vector;
  function free_matrix (line 20) | static void free_matrix(gene_matrix & A, int /*N*/){
  function free_vector (line 24) | static void free_vector(gene_vector & B){
  function matrix_from_stl (line 28) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
  function vector_from_stl (line 36) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
  function vector_to_stl (line 43) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
  function matrix_to_stl (line 49) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
  function copy_vector (line 58) | static inline void copy_vector(const gene_vector & source, gene_vector &...
  function copy_matrix (line 63) | static inline void copy_matrix(const gene_matrix & source, gene_matrix &...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/BLAS/main.cpp
  function main (line 36) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/STL/STL_interface.hh
  class STL_interface (line 29) | class STL_interface{
    method name (line 42) | static inline std::string name( void )
    method free_matrix (line 47) | static void free_matrix(gene_matrix & /*A*/, int /*N*/){}
    method free_vector (line 49) | static void free_vector(gene_vector & /*B*/){}
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 55) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 59) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 64) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 68) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 75) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method ata_product (line 81) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 94) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_matrix_product (line 112) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 125) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 136) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 153) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 162) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method atv_product (line 171) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 182) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 187) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 192) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method real (line 203) | static inline real norm_diff(const stl_vector & A, const stl_vector & B)
    method real (line 217) | static inline real norm_diff(const stl_matrix & A, const stl_matrix & B)
    method display_vector (line 234) | static inline void display_vector(const stl_vector & A)

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/STL/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blaze/blaze_interface.hh
  class blaze_interface (line 29) | class blaze_interface {
    method name (line 41) | static inline std::string name() { return "blaze"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method EIGEN_DONT_INLINE (line 84) | static EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix ...
    method EIGEN_DONT_INLINE (line 88) | static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const g...
    method EIGEN_DONT_INLINE (line 92) | static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, g...
    method EIGEN_DONT_INLINE (line 104) | static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector...
    method EIGEN_DONT_INLINE (line 108) | static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector ...
    method EIGEN_DONT_INLINE (line 112) | static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, rea...
    method copy_matrix (line 131) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 135) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blaze/main.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blitz/blitz_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blitz/blitz_interface.hh
  class blitz_interface (line 34) | class blitz_interface{
    method name (line 48) | static inline std::string name() { return "blitz"; }
    method free_matrix (line 50) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 52) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 54) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 63) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 70) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 76) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method ata_product (line 93) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 109) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 123) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method copy_matrix (line 130) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 140) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blitz/btl_blitz.cpp
  function main (line 34) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blitz/btl_tiny_blitz.cpp
  function main (line 29) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/blitz/tiny_blitz_interface.hh
  class tiny_blitz_interface (line 34) | class tiny_blitz_interface
    method name (line 47) | static inline std::string name() { return "tiny_blitz"; }
    method free_matrix (line 49) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 51) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 53) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 59) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 64) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 69) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 79) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 85) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 91) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 95) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method axpy (line 99) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/btl_tiny_eigen2.cpp
  function main (line 33) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/eigen2_interface.hh
  class eigen2_interface (line 31) | class eigen2_interface
    method name (line 46) | static inline std::string name( void )
    method free_matrix (line 57) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 59) | static void free_vector(gene_vector & B) {}
    method BTL_DONT_INLINE (line 61) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 71) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 79) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 85) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 96) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 100) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 104) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 108) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 112) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 120) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 124) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 128) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 132) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 136) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 140) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method cholesky (line 144) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 151) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method tridiagonalization (line 156) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 160) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/main_adv.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/main_linear.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/main_matmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen2/main_vecmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/btl_tiny_eigen3.cpp
  function main (line 33) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/eigen3_interface.hh
  class eigen3_interface (line 28) | class eigen3_interface
    method name (line 43) | static inline std::string name( void )
    method free_matrix (line 48) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 50) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 52) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 62) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 70) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 76) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 87) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 95) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 106) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method symv (line 110) | static inline void symv(const gene_matrix & A, const gene_vector & B, ...
    method triassign (line 115) | static void triassign(Dest& dst, const Src& src)
    method EIGEN_DONT_INLINE (line 160) | static EIGEN_DONT_INLINE void syr2(gene_matrix & A,  gene_vector & X, ...
    method EIGEN_DONT_INLINE (line 166) | static EIGEN_DONT_INLINE void ger(gene_matrix & A,  gene_vector & X, g...
    method EIGEN_DONT_INLINE (line 171) | static EIGEN_DONT_INLINE void rot(gene_vector & A,  gene_vector & B, r...
    method atv_product (line 175) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 179) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 183) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 187) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 191) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...
    method trisolve_lower (line 195) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 199) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 203) | static inline void trmm(const gene_matrix & L, const gene_matrix& B, g...
    method cholesky (line 207) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 216) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method partial_lu_decomp (line 220) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method tridiagonalization (line 228) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 234) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/main_adv.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/main_linear.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/main_matmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/eigen3/main_vecmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/gmm/gmm_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/gmm/gmm_interface.hh
  class gmm_interface (line 27) | class gmm_interface {
    method name (line 39) | static inline std::string name( void )
    method free_matrix (line 44) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 48) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 52) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 62) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 66) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 70) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 81) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 85) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 89) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 93) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 97) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 101) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 105) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 109) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 113) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 117) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 121) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method partial_lu_decomp (line 126) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method hessenberg (line 132) | static inline void hessenberg(const gene_matrix & X, gene_matrix & R, ...
    method tridiagonalization (line 137) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/gmm/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/mtl4/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/mtl4/mtl4_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/mtl4/mtl4_interface.hh
  class mtl4_interface (line 29) | class mtl4_interface {
    method name (line 41) | static inline std::string name() { return "mtl4"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 84) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method aat_product (line 99) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 103) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 107) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 111) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 115) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 130) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method copy_matrix (line 134) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 138) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tensors/main_linear.cpp
  function main (line 17) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tensors/main_matmat.cpp
  function main (line 16) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tensors/main_vecmat.cpp
  function main (line 16) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tensors/tensor_interface.hh
  class tensor_interface (line 19) | class tensor_interface
    method name (line 32) | static inline std::string name( void )
    method free_matrix (line 37) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 39) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 41) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 51) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 59) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 65) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 76) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 82) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method axpy (line 88) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 92) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tvmet/main.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/tvmet/tvmet_interface.hh
  class tvmet_interface (line 32) | class tvmet_interface{
    method name (line 44) | static inline std::string name() { return "tiny_tvmet"; }
    method free_matrix (line 46) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 48) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 50) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 61) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 77) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 81) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 89) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 93) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 97) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/ublas/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/eigen/bench/btl/libs/ublas/ublas_interface.hh
  class ublas_interface (line 31) | class ublas_interface{
    method name (line 43) | static inline std::string name( void ) { return "ublas"; }
    method free_matrix (line 45) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 47) | static void free_vector(gene_vector & B) {}
    method matrix_from_stl (line 49) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 62) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 77) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 83) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method matrix_vector_product_slow (line 91) | static inline void matrix_vector_product_slow(gene_matrix & A, gene_ve...
    method matrix_matrix_product_slow (line 95) | static inline void matrix_matrix_product_slow(gene_matrix & A, gene_ma...
    method axpy_slow (line 99) | static inline void axpy_slow(const real coef, const gene_vector & X, g...
    method matrix_vector_product (line 105) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 109) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 113) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method axpy (line 117) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 121) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method ata_product (line 125) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 130) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method trisolve_lower (line 135) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...

FILE: VO_Module/thirdparty/eigen/bench/check_cache_queries.cpp
  function main (line 18) | int main()

FILE: VO_Module/thirdparty/eigen/bench/dense_solvers.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 24) | EIGEN_DONT_INLINE
  function bench (line 30) | void bench(int id, int rows, int size = Size)
  function main (line 87) | int main()

FILE: VO_Module/thirdparty/eigen/bench/eig33.cpp
  function computeRoots (line 49) | inline void computeRoots(const Matrix& m, Roots& roots)
  function eigen33 (line 86) | void eigen33(const Matrix& mat, Matrix& evecs, Vector& evals)
  function main (line 165) | int main()

FILE: VO_Module/thirdparty/eigen/bench/geometry.cpp
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE void transform(const Transformation& t, Data& data)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE void transform(const Quaternion<Scalar>& t, Data& data)
  type ToRotationMatrixWrapper (line 41) | struct ToRotationMatrixWrapper
    method ToRotationMatrixWrapper (line 45) | ToRotationMatrixWrapper(const T& o) : object(o) {}
  function EIGEN_DONT_INLINE (line 50) | EIGEN_DONT_INLINE void transform(const ToRotationMatrixWrapper<QType>& t...
  function EIGEN_DONT_INLINE (line 58) | EIGEN_DONT_INLINE void transform(const Transform<Scalar,Dim,Projective>&...
  type get_dim (line 63) | struct get_dim { enum { Dim = T::Dim }; }
  type get_dim<Matrix<S,R,C,O,MR,MC> > (line 65) | struct get_dim<Matrix<S,R,C,O,MR,MC> > { enum { Dim = R }; }
  type bench_impl (line 68) | struct bench_impl
    method EIGEN_DONT_INLINE (line 70) | static EIGEN_DONT_INLINE void run(const Transformation& t)
  type bench_impl<Transformation,0> (line 84) | struct bench_impl<Transformation,0>
    method EIGEN_DONT_INLINE (line 86) | static EIGEN_DONT_INLINE void run(const Transformation&) {}
  function EIGEN_DONT_INLINE (line 90) | EIGEN_DONT_INLINE void bench(const std::string& msg, const Transformatio...
  function main (line 97) | int main(int argc, char ** argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/gemm.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/gemm_common.h
  type SCALAR (line 13) | typedef SCALAR Scalar;
  type Matrix (line 15) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/gemv.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/gemv_common.h
  type SCALAR (line 14) | typedef SCALAR Scalar;
  type Matrix (line 16) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;
  type Matrix (line 17) | typedef Matrix<Scalar,Dynamic,1>       Vec;

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/gemvt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/lazy_gemm.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE
  function bench_t (line 54) | double bench_t(int t)
  function EIGEN_DONT_INLINE (line 62) | EIGEN_DONT_INLINE
  function main (line 83) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/llt.cpp
  function EIGEN_DONT_INLINE (line 4) | EIGEN_DONT_INLINE
  function main (line 12) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/resources/s1.js
  function n (line 1) | function n(n){return n&&(n.ownerDocument||n.document||n).documentElement}
  function t (line 1) | function t(n){return n&&(n.ownerDocument&&n.ownerDocument.defaultView||n...
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FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/trmv_lo.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/trmv_lot.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/trmv_up.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/perf_monitoring/trmv_upt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/eigen/bench/product_threshold.cpp
  type map_size (line 11) | struct map_size { enum { ret = S }; }
  type map_size<10> (line 12) | struct map_size<10> { enum { ret = 20 }; }
  type map_size<11> (line 13) | struct map_size<11> { enum { ret = 50 }; }
  type map_size<12> (line 14) | struct map_size<12> { enum { ret = 100 }; }
  type map_size<13> (line 15) | struct map_size<13> { enum { ret = 300 }; }
  type alt_prod (line 17) | struct alt_prod
  function print_mode (line 28) | void print_mode(int mode)
  function EIGEN_DONT_INLINE (line 39) | EIGEN_DONT_INLINE void prod(const Lhs& a, const Rhs& b, Res& c)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void bench_prod()
  type print_n (line 69) | struct print_n
    method run (line 129) | static void run()
  type loop_on_m (line 70) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_n (line 71) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_k (line 74) | struct loop_on_k
    method run (line 76) | static void run()
  type loop_on_k<M,N,END> (line 90) | struct loop_on_k<M,N,END> { static void run(){} }
    method run (line 90) | static void run(){}
  type loop_on_m (line 94) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_m<END,N,K> (line 111) | struct loop_on_m<END,N,K> { static void run(){} }
    method run (line 111) | static void run(){}
  type loop_on_n (line 114) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_n<M,END,K,Scalar,Mode> (line 125) | struct loop_on_n<M,END,K,Scalar,Mode> { static void run(){} }
    method run (line 125) | static void run(){}
  type print_n (line 127) | struct print_n
    method run (line 129) | static void run()
  type print_n<END> (line 136) | struct print_n<END> { static void run(){} }
    method run (line 136) | static void run(){}
  function main (line 138) | int main()

FILE: VO_Module/thirdparty/eigen/bench/quat_slerp.cpp
  function EIGEN_DONT_INLINE (line 11) | EIGEN_DONT_INLINE Q nlerp(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE Q slerp_eigen(const Q& a, const Q& b, typename Q::Scal...
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE Q slerp_legacy(const Q& a, const Q& b, typename Q::Sca...
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE Q slerp_legacy_nlerp(const Q& a, const Q& b, typename ...
  function T (line 76) | inline T sin_over_x(T x)
  function EIGEN_DONT_INLINE (line 85) | EIGEN_DONT_INLINE Q slerp_rw(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 109) | EIGEN_DONT_INLINE Q slerp_gael(const Q& a, const Q& b, typename Q::Scala...
  function main (line 144) | int main()

FILE: VO_Module/thirdparty/eigen/bench/quatmul.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE void quatmul_default(const Quat& a, const Quat& b, Qua...
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE void quatmul_novec(const Quat& a, const Quat& b, Quat& c)
  function bench (line 20) | void bench(const std::string& label)
  function main (line 39) | int main()

FILE: VO_Module/thirdparty/eigen/bench/sparse_cholesky.cpp
  function fillSpdMatrix (line 44) | void fillSpdMatrix(float density, int rows, int cols,  EigenSparseSelfAd...
  function doEigen (line 64) | void doEigen(const char* name, const EigenSparseSelfAdjointMatrix& sm1, ...
  function main (line 77) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/sparse_dense_product.cpp
  function cs (line 38) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function main (line 52) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/sparse_lu.cpp
  function doEigen (line 46) | void doEigen(const char* name, const EigenSparseMatrix& sm1, const Vecto...
  function main (line 72) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/sparse_product.cpp
  function cs (line 64) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function cs (line 83) | cs* cs_sorted_multiply2(const cs* a, const cs* b)
  function main (line 96) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/sparse_randomsetter.cpp
  function dostuff (line 46) | void dostuff(const char* name, EigenSparseMatrix& sm1)
  function main (line 66) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/sparse_setter.cpp
  function main (line 61) | int main(int argc, char *argv[])
  function EIGEN_DONT_INLINE (line 194) | EIGEN_DONT_INLINE Scalar* setinnerrand_eigen(const Coordinates& coords, ...
  function EIGEN_DONT_INLINE (line 208) | EIGEN_DONT_INLINE Scalar* setrand_eigen_dynamic(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 222) | EIGEN_DONT_INLINE Scalar* setrand_eigen_sumeq(const Coordinates& coords,...
  function EIGEN_DONT_INLINE (line 241) | EIGEN_DONT_INLINE Scalar* setrand_eigen_compact(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 255) | EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coor...
  function EIGEN_DONT_INLINE (line 271) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& ...
  function EIGEN_DONT_INLINE (line 284) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates&...
  function coo_tocsr (line 300) | void coo_tocsr(const int n_row,
  function kv_pair_less (line 345) | bool kv_pair_less(const std::pair<T1,T2>& x, const std::pair<T1,T2>& y){
  function csr_sort_indices (line 351) | void csr_sort_indices(const I n_row,
  function csr_sum_duplicates (line 378) | void csr_sum_duplicates(const I n_row,
  function EIGEN_DONT_INLINE (line 405) | EIGEN_DONT_INLINE Scalar* setrand_scipy(const Coordinates& coords, const...
  function EIGEN_DONT_INLINE (line 425) | EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords...
  function EIGEN_DONT_INLINE (line 464) | EIGEN_DONT_INLINE Scalar* setrand_ublas_genvec(const Coordinates& coords...

FILE: VO_Module/thirdparty/eigen/bench/sparse_trisolver.cpp
  function fillMatrix (line 40) | void fillMatrix(float density, int rows, int cols,  EigenSparseTriMatrix...
  function main (line 56) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/spbench/sp_solver.cpp
  function main (line 20) | int main(int argc, char **args)

FILE: VO_Module/thirdparty/eigen/bench/spbench/spbenchsolver.cpp
  function bench_printhelp (line 3) | void bench_printhelp()
  function main (line 22) | int main(int argc, char ** args)

FILE: VO_Module/thirdparty/eigen/bench/spbench/spbenchsolver.h
  function printStatheader (line 96) | void printStatheader(std::ofstream& out)
  type SparseMatrix (line 318) | typedef SparseMatrix<Scalar, ColMajor> SpMat;

FILE: VO_Module/thirdparty/eigen/bench/spbench/spbenchstyle.h
  function printBenchStyle (line 13) | void printBenchStyle(std::ofstream& out)

FILE: VO_Module/thirdparty/eigen/bench/spbench/test_sparseLU.cpp
  function main (line 17) | int main(int argc, char **args)

FILE: VO_Module/thirdparty/eigen/bench/spmv.cpp
  function main (line 37) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/bench/tensors/benchmark.h
  function namespace (line 20) | namespace testing {

FILE: VO_Module/thirdparty/eigen/bench/tensors/benchmark_main.cc
  function BenchmarkMap (line 32) | BenchmarkMap& gBenchmarks() {
  function Round (line 39) | static int Round(int n) {
  function init_info (line 56) | static void __attribute__((constructor)) init_info() {
  function NanoTime (line 61) | static int64_t NanoTime() {
  type testing (line 73) | namespace testing {
    function Benchmark (line 74) | Benchmark* Benchmark::Arg(int arg) {
    function Benchmark (line 79) | Benchmark* Benchmark::Range(int lo, int hi) {
  function SetBenchmarkFlopsProcessed (line 193) | void SetBenchmarkFlopsProcessed(int64_t x) {
  function StopBenchmarkTiming (line 196) | void StopBenchmarkTiming() {
  function StartBenchmarkTiming (line 202) | void StartBenchmarkTiming() {
  function main (line 207) | int main(int argc, char* argv[]) {

FILE: VO_Module/thirdparty/eigen/bench/tensors/tensor_benchmarks.h
  type TensorIndex (line 4) | typedef int TensorIndex;
  function memcpy (line 41) | void memcpy(int num_iters) {
  function typeCasting (line 56) | void typeCasting(int num_iters) {
  function random (line 81) | void random(int num_iters) {
  function slicing (line 100) | void slicing(int num_iters) {
  function rowChip (line 142) | void rowChip(int num_iters) {
  function colChip (line 163) | void colChip(int num_iters) {
  function shuffling (line 184) | void shuffling(int num_iters) {
  function padding (line 211) | void padding(int num_iters) {
  function striding (line 243) | void striding(int num_iters) {
  function broadcasting (line 278) | void broadcasting(int num_iters) {
  function coeffWiseOp (line 312) | void coeffWiseOp(int num_iters) {
  function algebraicFunc (line 334) | void algebraicFunc(int num_iters) {
  function transcendentalFunc (line 357) | void transcendentalFunc(int num_iters) {
  function rowReduction (line 380) | void rowReduction(int num_iters) {
  function colReduction (line 412) | void colReduction(int num_iters) {
  function fullReduction (line 446) | void fullReduction(int num_iters) {
  function contraction (line 472) | void contraction(int num_iters) {
  function contractionRowMajor (line 476) | void contractionRowMajor(int num_iters) {
  function contractionRowMajorAT (line 480) | void contractionRowMajorAT(int num_iters) {
  function contractionRowMajorBT (line 484) | void contractionRowMajorBT(int num_iters) {
  function contractionRowMajorABT (line 488) | void contractionRowMajorABT(int num_iters) {
  function convolution (line 492) | void convolution(int num_iters, int kernel_x, int kernel_y) {
  type typename (line 541) | typedef typename Tensor<T, 2, Layout>::DimensionPair DimPair;
  function initialize (line 560) | void initialize() {
  function finalizeBenchmark (line 573) | inline void finalizeBenchmark(int64_t num_items) {

FILE: VO_Module/thirdparty/eigen/bench/tensors/tensor_contract_sycl_bench.cc
  function get_time (line 32) | std::chrono::time_point<std::chrono::system_clock> get_time(){
  function finalizeBenchmark (line 38) | void finalizeBenchmark(Start start, End end, TensorIndex m_, TensorIndex...
  function contraction (line 49) | void contraction(const Device& device_, TensorIndex num_iters, TensorInd...
  function contractionRowMajor (line 103) | void contractionRowMajor(const Device& device_, TensorIndex num_iters, T...
  function contractionAT (line 155) | void contractionAT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionBT (line 206) | void contractionBT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionABT (line 258) | void contractionABT(const Device& device_, TensorIndex num_iters, Tensor...
  function main (line 308) | int main() {

FILE: VO_Module/thirdparty/eigen/bench/vdw_new.cpp
  function SCALAR (line 22) | SCALAR E_VDW(const Vec &interactions1, const Vec &interactions2)
  function main (line 31) | int main()

FILE: VO_Module/thirdparty/eigen/blas/BandTriangularSolver.h
  type Map (line 26) | typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;

FILE: VO_Module/thirdparty/eigen/blas/GeneralRank1Update.h
  function namespace (line 13) | namespace internal {

FILE: VO_Module/thirdparty/eigen/blas/PackedSelfadjointProduct.h
  function namespace (line 13) | namespace internal {
  function run (line 45) | static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar a...

FILE: VO_Module/thirdparty/eigen/blas/PackedTriangularMatrixVector.h
  function namespace (line 13) | namespace internal {
  function run (line 56) | static void run(Index size, const LhsScalar* lhs, const RhsScalar* rhs, ...

FILE: VO_Module/thirdparty/eigen/blas/PackedTriangularSolverVector.h
  function namespace (line 13) | namespace internal {
  function run (line 53) | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs)

FILE: VO_Module/thirdparty/eigen/blas/Rank2Update.h
  function namespace (line 13) | namespace internal {

FILE: VO_Module/thirdparty/eigen/blas/common.h
  function check_op (line 65) | inline bool check_op(const char* op)
  function check_side (line 70) | inline bool check_side(const char* side)
  function check_uplo (line 75) | inline bool check_uplo(const char* uplo)
  function namespace (line 81) | namespace Eigen {
  type SCALAR (line 92) | typedef SCALAR Scalar;
  type NumTraits (line 93) | typedef NumTraits<Scalar>::Real RealScalar;
  type std (line 94) | typedef std::complex<RealScalar> Complex;
  type Matrix (line 102) | typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
  type Map (line 103) | typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > ...
  type Map (line 104) | typedef Map<const Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStrid...
  type Map (line 105) | typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedV...
  type Map (line 106) | typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType;

FILE: VO_Module/thirdparty/eigen/blas/f2c/chbmv.c
  function chbmv_ (line 15) | int chbmv_(char *uplo, integer *n, integer *k, complex *

FILE: VO_Module/thirdparty/eigen/blas/f2c/chpmv.c
  function chpmv_ (line 15) | int chpmv_(char *uplo, integer *n, complex *alpha, complex *

FILE: VO_Module/thirdparty/eigen/blas/f2c/complexdots.c
  function complex (line 21) | complex cdotc_(integer *n, complex *cx, integer
  function complex (line 37) | complex cdotu_(integer *n, complex *cx, integer
  function doublecomplex (line 53) | doublecomplex zdotc_(integer *n, doublecomplex *cx, integer *incx,
  function doublecomplex (line 69) | doublecomplex zdotu_(integer *n, doublecomplex *cx, integer *incx,

FILE: VO_Module/thirdparty/eigen/blas/f2c/ctbmv.c
  function ctbmv_ (line 15) | int ctbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/eigen/blas/f2c/d_cnjg.c
  function d_cnjg (line 3) | void d_cnjg(doublecomplex *r, doublecomplex *z) {

FILE: VO_Module/thirdparty/eigen/blas/f2c/datatypes.h
  type integer (line 8) | typedef int integer;
  type uinteger (line 9) | typedef unsigned int uinteger;
  type real (line 10) | typedef float real;
  type doublereal (line 11) | typedef double doublereal;
  type complex (line 12) | typedef struct { real r, i; } complex;
  type doublecomplex (line 13) | typedef struct { doublereal r, i; } doublecomplex;
  type ftnlen (line 14) | typedef int ftnlen;
  type logical (line 15) | typedef int logical;

FILE: VO_Module/thirdparty/eigen/blas/f2c/drotm.c
  function drotm_ (line 15) | int drotm_(integer *n, doublereal *dx, integer *incx,

FILE: VO_Module/thirdparty/eigen/blas/f2c/drotmg.c
  function drotmg_ (line 15) | int drotmg_(doublereal *dd1, doublereal *dd2, doublereal *

FILE: VO_Module/thirdparty/eigen/blas/f2c/dsbmv.c
  function dsbmv_ (line 15) | int dsbmv_(char *uplo, integer *n, integer *k, doublereal *

FILE: VO_Module/thirdparty/eigen/blas/f2c/dspmv.c
  function dspmv_ (line 15) | int dspmv_(char *uplo, integer *n, doublereal *alpha,

FILE: VO_Module/thirdparty/eigen/blas/f2c/dtbmv.c
  function dtbmv_ (line 15) | int dtbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/eigen/blas/f2c/lsame.c
  function logical (line 15) | logical lsame_(char *ca, char *cb, ftnlen ca_len, ftnlen cb_len)

FILE: VO_Module/thirdparty/eigen/blas/f2c/r_cnjg.c
  function r_cnjg (line 3) | void r_cnjg(complex *r, complex *z) {

FILE: VO_Module/thirdparty/eigen/blas/f2c/srotm.c
  function srotm_ (line 15) | int srotm_(integer *n, real *sx, integer *incx, real *sy,

FILE: VO_Module/thirdparty/eigen/blas/f2c/srotmg.c
  function srotmg_ (line 15) | int srotmg_(real *sd1, real *sd2, real *sx1, real *sy1, real

FILE: VO_Module/thirdparty/eigen/blas/f2c/ssbmv.c
  function ssbmv_ (line 15) | int ssbmv_(char *uplo, integer *n, integer *k, real *alpha,

FILE: VO_Module/thirdparty/eigen/blas/f2c/sspmv.c
  function sspmv_ (line 15) | int sspmv_(char *uplo, integer *n, real *alpha, real *ap,

FILE: VO_Module/thirdparty/eigen/blas/f2c/stbmv.c
  function stbmv_ (line 15) | int stbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/eigen/blas/f2c/zhbmv.c
  function zhbmv_ (line 15) | int zhbmv_(char *uplo, integer *n, integer *k, doublecomplex

FILE: VO_Module/thirdparty/eigen/blas/f2c/zhpmv.c
  function zhpmv_ (line 15) | int zhpmv_(char *uplo, integer *n, doublecomplex *alpha,

FILE: VO_Module/thirdparty/eigen/blas/f2c/ztbmv.c
  function ztbmv_ (line 15) | int ztbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/eigen/blas/level1_cplx_impl.h
  type scalar_norm1_op (line 12) | struct scalar_norm1_op {
  function namespace (line 17) | namespace Eigen {
  function RealScalar (line 28) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(asum))(int *n, ...
  function RealScalar (line 106) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(nrm2))(int *n, ...

FILE: VO_Module/thirdparty/eigen/blas/level1_real_impl.h
  function RealScalar (line 14) | RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx)
  function Scalar (line 49) | Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScala...
  function Scalar (line 68) | Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx)

FILE: VO_Module/thirdparty/eigen/blas/level2_impl.h
  type general_matrix_vector_product_wrapper (line 13) | struct general_matrix_vector_product_wrapper
  function ConstMatrixType (line 257) | ConstMatrixType mat_coeffs(a,coeff_rows,*n,*lda);
  function MatrixType (line 312) | MatrixType mat_coeffs(a,coeff_rows,*n,*lda);

FILE: VO_Module/thirdparty/eigen/blas/xerbla.cpp
  function EIGEN_WEAK_LINKING (line 15) | EIGEN_WEAK_LINKING int xerbla_(const char * msg, int *info, int)

FILE: VO_Module/thirdparty/eigen/debug/gdb/printers.py
  class _MatrixEntryIterator (line 35) | class _MatrixEntryIterator(object):
    method __init__ (line 37) | def __init__(self, rows, cols, row_major):
    method __iter__ (line 44) | def __iter__(self):
    method next (line 47) | def next(self):
    method __next__ (line 50) | def __next__(self):
  class EigenMatrixPrinter (line 73) | class EigenMatrixPrinter:
    method __init__ (line 76) | def __init__(self, variety, val):
    class _Iterator (line 119) | class _Iterator(_MatrixEntryIterator):
      method __init__ (line 120) | def __init__(self, rows, cols, data_ptr, row_major):
      method __next__ (line 125) | def __next__(self):
    method children (line 136) | def children(self):
    method to_string (line 140) | def to_string(self):
  class EigenSparseMatrixPrinter (line 146) | class EigenSparseMatrixPrinter:
    method __init__ (line 149) | def __init__(self, val):
    class _Iterator (line 175) | class _Iterator(_MatrixEntryIterator):
      method __init__ (line 176) | def __init__(self, rows, cols, val, row_major):
      method __next__ (line 181) | def __next__(self):
    method children (line 211) | def children(self):
    method rows (line 217) | def rows(self):
    method cols (line 220) | def cols(self):
    method to_string (line 223) | def to_string(self):
  class EigenQuaternionPrinter (line 236) | class EigenQuaternionPrinter:
    method __init__ (line 239) | def __init__(self, val):
    class _Iterator (line 253) | class _Iterator:
      method __init__ (line 254) | def __init__(self, data_ptr):
      method __iter__ (line 259) | def __iter__(self):
      method next (line 262) | def next(self):
      method __next__ (line 265) | def __next__(self):
    method children (line 277) | def children(self):
    method to_string (line 281) | def to_string(self):
  function cast_eigen_block_to_matrix (line 285) | def cast_eigen_block_to_matrix(val):
  function build_eigen_dictionary (line 299) | def build_eigen_dictionary():
  function register_eigen_printers (line 310) | def register_eigen_printers(obj):
  function lookup_function (line 318) | def lookup_function(val):

FILE: VO_Module/thirdparty/eigen/demos/mandelbrot/mandelbrot.cpp
  type iters_before_test (line 28) | struct iters_before_test { enum { ret = 8 }; }
  type iters_before_test<double> (line 29) | struct iters_before_test<double> { enum { ret = 16 }; }
  function main (line 205) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/demos/mandelbrot/mandelbrot.h
  function class (line 20) | class MandelbrotThread : public QThread
  function class (line 34) | class MandelbrotWidget : public QWidget

FILE: VO_Module/thirdparty/eigen/demos/mix_eigen_and_c/binary_library.cpp
  function MatrixXd (line 23) | inline MatrixXd& c_to_eigen(C_MatrixXd* ptr)
  function MatrixXd (line 28) | inline const MatrixXd& c_to_eigen(const C_MatrixXd* ptr)
  function C_MatrixXd (line 33) | inline C_MatrixXd* eigen_to_c(MatrixXd& ref)
  function C_MatrixXd (line 38) | inline const C_MatrixXd* eigen_to_c(const MatrixXd& ref)
  function C_Map_MatrixXd (line 55) | inline C_Map_MatrixXd* eigen_to_c(Map<MatrixXd>& ref)
  function C_Map_MatrixXd (line 60) | inline const C_Map_MatrixXd* eigen_to_c(const Map<MatrixXd>& ref)
  function C_MatrixXd (line 72) | C_MatrixXd* MatrixXd_new(int rows, int cols)
  function MatrixXd_delete (line 77) | void MatrixXd_delete(C_MatrixXd *m)
  function MatrixXd_set_zero (line 87) | void MatrixXd_set_zero(C_MatrixXd *m)
  function MatrixXd_resize (line 92) | void MatrixXd_resize(C_MatrixXd *m, int rows, int cols)
  function MatrixXd_copy (line 97) | void MatrixXd_copy(C_MatrixXd *dst, const C_MatrixXd *src)
  function MatrixXd_copy_map (line 102) | void MatrixXd_copy_map(C_MatrixXd *dst, const C_Map_MatrixXd *src)
  function MatrixXd_set_coeff (line 107) | void MatrixXd_set_coeff(C_MatrixXd *m, int i, int j, double coeff)
  function MatrixXd_get_coeff (line 112) | double MatrixXd_get_coeff(const C_MatrixXd *m, int i, int j)
  function MatrixXd_print (line 117) | void MatrixXd_print(const C_MatrixXd *m)
  function MatrixXd_multiply (line 122) | void MatrixXd_multiply(const C_MatrixXd *m1, const C_MatrixXd *m2, C_Mat...
  function MatrixXd_add (line 127) | void MatrixXd_add(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd...
  function C_Map_MatrixXd (line 137) | C_Map_MatrixXd* Map_MatrixXd_new(double *array, int rows, int cols)
  function Map_MatrixXd_delete (line 142) | void Map_MatrixXd_delete(C_Map_MatrixXd *m)
  function Map_MatrixXd_set_zero (line 147) | void Map_MatrixXd_set_zero(C_Map_MatrixXd *m)
  function Map_MatrixXd_copy (line 152) | void Map_MatrixXd_copy(C_Map_MatrixXd *dst, const C_Map_MatrixXd *src)
  function Map_MatrixXd_copy_matrix (line 157) | void Map_MatrixXd_copy_matrix(C_Map_MatrixXd *dst, const C_MatrixXd *src)
  function Map_MatrixXd_set_coeff (line 162) | void Map_MatrixXd_set_coeff(C_Map_MatrixXd *m, int i, int j, double coeff)
  function Map_MatrixXd_get_coeff (line 167) | double Map_MatrixXd_get_coeff(const C_Map_MatrixXd *m, int i, int j)
  function Map_MatrixXd_print (line 172) | void Map_MatrixXd_print(const C_Map_MatrixXd *m)
  function Map_MatrixXd_multiply (line 177) | void Map_MatrixXd_multiply(const C_Map_MatrixXd *m1, const C_Map_MatrixX...
  function Map_MatrixXd_add (line 182) | void Map_MatrixXd_add(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2...

FILE: VO_Module/thirdparty/eigen/demos/mix_eigen_and_c/binary_library.h
  type C_MatrixXd (line 22) | struct C_MatrixXd {}
  type C_Map_MatrixXd (line 23) | struct C_Map_MatrixXd {}
  type C_MatrixXd (line 27) | struct C_MatrixXd
  type C_MatrixXd (line 28) | struct C_MatrixXd
  type C_MatrixXd (line 29) | struct C_MatrixXd
  type C_MatrixXd (line 30) | struct C_MatrixXd
  type C_MatrixXd (line 31) | struct C_MatrixXd
  type C_MatrixXd (line 32) | struct C_MatrixXd
  type C_MatrixXd (line 33) | struct C_MatrixXd
  type C_MatrixXd (line 34) | struct C_MatrixXd
  type C_Map_MatrixXd (line 35) | struct C_Map_MatrixXd
  type C_MatrixXd (line 36) | struct C_MatrixXd
  type C_MatrixXd (line 38) | struct C_MatrixXd
  type C_MatrixXd (line 40) | struct C_MatrixXd
  type C_MatrixXd (line 41) | struct C_MatrixXd
  type C_MatrixXd (line 42) | struct C_MatrixXd
  type C_MatrixXd (line 43) | struct C_MatrixXd
  type C_MatrixXd (line 44) | struct C_MatrixXd
  type C_MatrixXd (line 45) | struct C_MatrixXd
  type C_MatrixXd (line 46) | struct C_MatrixXd
  type C_Map_MatrixXd (line 50) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 51) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 52) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 53) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 54) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 55) | struct C_Map_MatrixXd
  type C_MatrixXd (line 56) | struct C_MatrixXd
  type C_Map_MatrixXd (line 57) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 59) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 61) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 62) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 63) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 64) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 65) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 66) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 67) | struct C_Map_MatrixXd

FILE: VO_Module/thirdparty/eigen/demos/mix_eigen_and_c/example.c
  function demo_MatrixXd (line 13) | void demo_MatrixXd()
  function print_array (line 35) | void print_array(double *array, int n)
  function demo_Map_MatrixXd (line 42) | void demo_Map_MatrixXd()
  function main (line 61) | int main()

FILE: VO_Module/thirdparty/eigen/demos/opengl/camera.cpp
  function Camera (line 34) | Camera& Camera::operator=(const Camera& other)
  function Vector3f (line 89) | Vector3f Camera::direction(void) const
  function Vector3f (line 93) | Vector3f Camera::up(void) const
  function Vector3f (line 97) | Vector3f Camera::right(void) const
  function Affine3f (line 205) | const Affine3f& Camera::viewMatrix(void) const
  function Matrix4f (line 232) | const Matrix4f& Camera::projectionMatrix(void) const
  function Vector3f (line 246) | Vector3f Camera::unProject(const Vector2f& uv, float depth) const
  function Vector3f (line 252) | Vector3f Camera::unProject(const Vector2f& uv, float depth, const Matrix...

FILE: VO_Module/thirdparty/eigen/demos/opengl/camera.h
  function class (line 17) | class Frame
  function class (line 36) | class Camera

FILE: VO_Module/thirdparty/eigen/demos/opengl/gpuhelper.h
  type Vector4f (line 19) | typedef Vector4f Color;
  function class (line 21) | class GpuHelper
  function loadMatrix (line 120) | static void loadMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function loadMatrix (line 121) | static void loadMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glL...
  function multMatrix (line 122) | static void multMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function multMatrix (line 123) | static void multMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glM...
  function loadMatrix (line 128) | static void loadMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function loadMatrix (line 129) | static void loadMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glL...
  function multMatrix (line 130) | static void multMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function multMatrix (line 131) | static void multMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glM...
  function setMatrixTarget (line 134) | inline void GpuHelper::setMatrixTarget(GLenum matrixTarget)
  function pushMatrix (line 163) | inline void GpuHelper::pushMatrix(GLenum matrixTarget)
  function popMatrix (line 185) | inline void GpuHelper::popMatrix(GLenum matrixTarget)
  function draw (line 191) | inline void GpuHelper::draw(GLenum mode, uint nofElement)
  function draw (line 197) | inline void GpuHelper::draw(GLenum mode, const std::vector<uint>* pIndexes)
  function draw (line 202) | inline void GpuHelper::draw(GLenum mode, uint start, uint end)

FILE: VO_Module/thirdparty/eigen/demos/opengl/icosphere.h
  function class (line 16) | class IcoSphere

FILE: VO_Module/thirdparty/eigen/demos/opengl/quaternion_demo.cpp
  class FancySpheres (line 30) | class FancySpheres
    method EIGEN_MAKE_ALIGNED_OPERATOR_NEW (line 33) | EIGEN_MAKE_ALIGNED_OPERATOR_NEW
    method draw (line 95) | void draw()
  function T (line 117) | T lerp(float t, const T& a, const T& b)
  function Quaternionf (line 123) | Quaternionf lerp(float t, const Quaternionf& a, const Quaternionf& b)
  function Frame (line 129) | inline static Frame lerpFrame(float alpha, const Frame& a, const Frame& b)
  class EulerAngles (line 135) | class EulerAngles
    method EulerAngles (line 150) | EulerAngles() {}
    method EulerAngles (line 151) | inline EulerAngles(Scalar a0, Scalar a1, Scalar a2) : m_angles(a0, a1,...
    method EulerAngles (line 152) | inline EulerAngles(const QuaternionType& q) { *this = q; }
    method Vector3 (line 154) | const Vector3& coeffs() const { return m_angles; }
    method Vector3 (line 155) | Vector3& coeffs() { return m_angles; }
    method EulerAngles (line 157) | EulerAngles& operator=(const QuaternionType& q)
    method EulerAngles (line 163) | EulerAngles& operator=(const Matrix3& m)
    method Matrix3 (line 174) | Matrix3 toRotationMatrix(void) const
  function lerp (line 189) | EulerAngles<float> lerp(float t, const EulerAngles<float>& a, const Eule...
  function QWidget (line 551) | QWidget* RenderingWidget::createNavigationControlWidget()
  function main (line 635) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/demos/opengl/quaternion_demo.h
  function class (line 22) | class RenderingWidget : public QGLWidget
  function class (line 105) | class QuaternionDemo : public QMainWindow

FILE: VO_Module/thirdparty/eigen/demos/opengl/trackball.h
  function class (line 17) | class Trackball

FILE: VO_Module/thirdparty/eigen/doc/eigen_navtree_hacks.js
  function generate_autotoc (line 3) | function generate_autotoc() {
  function getNode (line 54) | function getNode(o, po)
  function resizeHeight (line 66) | function resizeHeight()
  function initNavTree (line 85) | function initNavTree(toroot,relpath)
  function checkChildrenData (line 145) | function checkChildrenData(node) {
  function createIndent (line 160) | function createIndent(o,domNode,node,level)
  function selectAndHighlight (line 194) | function selectAndHighlight(hash,n)

FILE: VO_Module/thirdparty/eigen/doc/examples/CustomizingEigen_Inheritance.cpp
  class MyVectorType (line 4) | class MyVectorType : public Eigen::VectorXd
    method MyVectorType (line 7) | MyVectorType(void):Eigen::VectorXd() {}
    method MyVectorType (line 11) | MyVectorType(const Eigen::MatrixBase<OtherDerived>& other)
    method MyVectorType (line 17) | MyVectorType& operator=(const Eigen::MatrixBase <OtherDerived>& other)
  function main (line 24) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Cwise_erf.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Cwise_erfc.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Cwise_lgamma.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/DenseBase_middleCols_int.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/eigen/doc/examples/DenseBase_middleRows_int.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/eigen/doc/examples/DenseBase_template_int_middleCols.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/eigen/doc/examples/DenseBase_template_int_middleRows.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/eigen/doc/examples/QuickStart_example.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/QuickStart_example2_dynamic.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/QuickStart_example2_fixed.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TemplateKeyword_flexible.cpp
  function copyUpperTriangularPart (line 7) | void copyUpperTriangularPart(MatrixBase<Derived1>& dst, const MatrixBase...
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TemplateKeyword_simple.cpp
  function copyUpperTriangularPart (line 6) | void copyUpperTriangularPart(MatrixXf& dst, const MatrixXf& src)
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialInplaceLU.cpp
  type init (line 2) | struct init {
    method init (line 3) | init() { std::cout << "[" << "init" << "]" << std::endl; }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgComputeTwice.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgExComputeSolveError.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgExSolveColPivHouseholderQR.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgExSolveLDLT.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgInverseDeterminant.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgRankRevealing.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgSelfAdjointEigenSolver.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/TutorialLinAlgSetThreshold.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_accessors.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_addition.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_cwise_other.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_interop.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_interop_matrix.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ArrayClass_mult.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_BlockOperations_block_assignment.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_BlockOperations_colrow.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_BlockOperations_corner.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_BlockOperations_print_block.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_BlockOperations_vector.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_PartialLU_solve.cpp
  function main (line 8) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_colwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_bool.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_norm.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_operatornorm.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_rowwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_visitors.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/Tutorial_simple_example_fixed_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/class_Block.cpp
  function topLeftCorner (line 7) | Eigen::Block<Derived>
  function topLeftCorner (line 14) | const Eigen::Block<const Derived>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_CwiseBinaryOp.cpp
  type MakeComplexOp (line 7) | struct MakeComplexOp {
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_CwiseUnaryOp.cpp
  type CwiseClampOp (line 8) | struct CwiseClampOp {
    method CwiseClampOp (line 9) | CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup...
    method Scalar (line 10) | const Scalar operator()(const Scalar& x) const { return x<m_inf ? m_in...
  function main (line 14) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_CwiseUnaryOp_ptrfun.cpp
  function ramp (line 7) | double ramp(double x)
  function main (line 15) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_FixedBlock.cpp
  function topLeft2x2Corner (line 7) | Eigen::Block<Derived, 2, 2>
  function topLeft2x2Corner (line 14) | const Eigen::Block<const Derived, 2, 2>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_FixedReshaped.cpp
  function reshape_helper (line 7) | Eigen::Reshaped<Derived, 4, 2>
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_FixedVectorBlock.cpp
  function firstTwo (line 7) | Eigen::VectorBlock<Derived, 2>
  function firstTwo (line 14) | const Eigen::VectorBlock<const Derived, 2>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_Reshaped.cpp
  function reshape_helper (line 7) | const Reshaped<const Derived>
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/class_VectorBlock.cpp
  function segmentFromRange (line 7) | Eigen::VectorBlock<Derived>
  function segmentFromRange (line 14) | const Eigen::VectorBlock<const Derived>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/eigen/doc/examples/function_taking_eigenbase.cpp
  function print_size (line 6) | void print_size(const EigenBase<Derived>& b)
  function main (line 12) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/function_taking_ref.cpp
  function inv_cond (line 6) | float inv_cond(const Ref<const MatrixXf>& a)
  function main (line 12) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/make_circulant2.cpp
  class circulant_functor (line 8) | class circulant_functor {
    method circulant_functor (line 11) | circulant_functor(const ArgType& arg) : m_vec(arg) {}
  type circulant_helper (line 23) | struct circulant_helper {
  function makeCirculant (line 35) | CwiseNullaryOp<circulant_functor<ArgType>, typename circulant_helper<Arg...
  function main (line 44) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/matrixfree_cg.cpp
  class MatrixReplacement (line 7) | class MatrixReplacement
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 10) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  class MatrixReplacement (line 21) | class MatrixReplacement : public Eigen::EigenBase<MatrixReplacement> {
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 55) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  function main (line 82) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/nullary_indexing.cpp
  class indexing_functor (line 8) | class indexing_functor {
    method indexing_functor (line 20) | indexing_functor(const ArgType& arg, const RowIndexType& row_indices, ...
  function mat_indexing (line 32) | CwiseNullaryOp<indexing_functor<ArgType,RowIndexType,ColIndexType>, type...
  function main (line 42) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_arithmetic_add_sub.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_arithmetic_dot_cross.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_arithmetic_matrix_mul.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_arithmetic_redux_basic.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_arithmetic_scalar_mul_div.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_matrix_coefficient_accessors.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_matrix_resize.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/examples/tut_matrix_resize_fixed_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/doc/snippets/Slicing_custom_padding_cxx11.cpp
  type pad (line 1) | struct pad {
    method Index (line 2) | Index size() const { return out_size; }
    method Index (line 3) | Index operator[] (Index i) const { return std::max<Index>(0,i-(out_siz...

FILE: VO_Module/thirdparty/eigen/doc/special_examples/Tutorial_sparse_example.cpp
  function main (line 11) | int main(int argc, char** argv)

FILE: VO_Module/thirdparty/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp
  function insertCoefficient (line 8) | void insertCoefficient(int id, int i, int j, double w, std::vector<T>& c...
  function buildProblem (line 19) | void buildProblem(std::vector<T>& coefficients, Eigen::VectorXd& b, int n)
  function saveAsBitmap (line 37) | void saveAsBitmap(const Eigen::VectorXd& x, int n, const char* filename)

FILE: VO_Module/thirdparty/eigen/doc/special_examples/random_cpp11.cpp
  function main (line 7) | int main() {

FILE: VO_Module/thirdparty/eigen/doc/tutorial.cpp
  function main (line 3) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/eigen/failtest/bdcsvd_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/block_nonconst_ctor_on_const_xpr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/block_nonconst_ctor_on_const_xpr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/block_nonconst_ctor_on_const_xpr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/block_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/block_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/colpivqr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/const_qualified_block_method_retval_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/const_qualified_block_method_retval_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/const_qualified_diagonal_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/const_qualified_transpose_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/cwiseunaryview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/cwiseunaryview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/diagonal_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/diagonal_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/eigensolver_cplx.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/eigensolver_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/fullpivlu_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/fullpivqr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/initializer_list_1.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/initializer_list_2.cpp
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/jacobisvd_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ldlt_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/llt_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/map_nonconst_ctor_on_const_ptr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_nonconst_ctor_on_const_ptr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex size){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_nonconst_ctor_on_const_ptr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_nonconst_ctor_on_const_ptr_3.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_nonconst_ctor_on_const_ptr_4.cpp
  function foo (line 11) | void foo(const float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/map_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/partialpivlu_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/qr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<VectorXf> a) { }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<VectorXf> a) { }
  function call_ref (line 8) | void call_ref(const Ref<const VectorXf> &a) { }
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<MatrixXf,0,OuterStride<> > a) {}
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/selfadjointview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/selfadjointview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/sparse_ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/sparse_ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/sparse_ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function call_ref (line 8) | void call_ref(const Ref<const SparseMatrix<float> > &a) { }
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/sparse_ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) {}
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/sparse_ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/sparse_storage_mismatch.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/swap_1.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/swap_2.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/eigen/failtest/ternary_1.cpp
  function main (line 5) | int main(int argc,char **)

FILE: VO_Module/thirdparty/eigen/failtest/ternary_2.cpp
  function main (line 5) | int main(int argc,char **)

FILE: VO_Module/thirdparty/eigen/failtest/transpose_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/transpose_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/triangularview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/eigen/failtest/triangularview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/eigen/lapack/lapack_common.h
  type Eigen (line 20) | typedef Eigen::Map<Eigen::Transpositions<Eigen::Dynamic,Eigen::Dynamic,i...

FILE: VO_Module/thirdparty/eigen/scripts/eigen_gen_credits.cpp
  function contributor_name (line 13) | std::string contributor_name(const std::string& line)
  function contributors_map_from_churn_output (line 67) | map<string,int> contributors_map_from_churn_output(const char *filename)
  function string (line 110) | string lastname(const string& name)
  type contributor (line 117) | struct contributor
    method contributor (line 125) | contributor() : changedlines(0), changesets(0) {}
  function add_online_info_into_contributors_list (line 133) | void add_online_info_into_contributors_list(list<contributor>& contribut...
  function main (line 186) | int main()

FILE: VO_Module/thirdparty/eigen/scripts/relicense.py
  function update (line 46) | def update(text):

FILE: VO_Module/thirdparty/eigen/test/AnnoyingScalar.h
  type my_exception (line 20) | struct my_exception
  function class (line 31) | class AnnoyingScalar
  function init (line 50) | void init() {
  function AnnoyingScalar (line 102) | AnnoyingScalar real(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 103) | AnnoyingScalar imag(const AnnoyingScalar & ) { return 0; }
  function AnnoyingScalar (line 104) | AnnoyingScalar conj(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 105) | AnnoyingScalar sqrt(const AnnoyingScalar &x) { return std::sqrt(*x.v); }
  function AnnoyingScalar (line 106) | AnnoyingScalar abs (const AnnoyingScalar &x) { return std::abs(*x.v); }
  function AnnoyingScalar (line 107) | AnnoyingScalar cos (const AnnoyingScalar &x) { return std::cos(*x.v); }
  function AnnoyingScalar (line 108) | AnnoyingScalar sin (const AnnoyingScalar &x) { return std::sin(*x.v); }
  function AnnoyingScalar (line 109) | AnnoyingScalar acos(const AnnoyingScalar &x) { return std::acos(*x.v); }
  function AnnoyingScalar (line 110) | AnnoyingScalar atan2(const AnnoyingScalar &y,const AnnoyingScalar &x) { ...
  function namespace (line 124) | namespace Eigen {
  function AnnoyingScalar (line 153) | AnnoyingScalar get_test_precision(const AnnoyingScalar&)
  function AnnoyingScalar (line 156) | AnnoyingScalar test_relative_error(const AnnoyingScalar &a, const Annoyi...
  function test_isApprox (line 159) | inline bool test_isApprox(const AnnoyingScalar &a, const AnnoyingScalar &b)
  function test_isMuchSmallerThan (line 162) | inline bool test_isMuchSmallerThan(const AnnoyingScalar &a, const Annoyi...

FILE: VO_Module/thirdparty/eigen/test/MovableScalar.h
  function namespace (line 15) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/test/OffByOneScalar.h
  function val_ (line 17) | OffByOneScalar(T val) : val_(val + 1) {}

FILE: VO_Module/thirdparty/eigen/test/adjoint.cpp
  type adjoint_specific (line 14) | struct adjoint_specific
  type adjoint_specific<true> (line 16) | struct adjoint_specific<true> {
    method run (line 18) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  type adjoint_specific<false> (line 27) | struct adjoint_specific<false> {
    method run (line 29) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  function adjoint (line 67) | void adjoint(const MatrixType& m)
  function adjoint_extra (line 152) | void adjoint_extra()
  function EIGEN_DECLARE_TEST (line 194) | EIGEN_DECLARE_TEST(adjoint)

FILE: VO_Module/thirdparty/eigen/test/array_cwise.cpp
  function pow_test (line 15) | void pow_test() {
  function array (line 85) | void array(const ArrayType& m)
  function comparisons (line 258) | void comparisons(const ArrayType& m)
  function array_real (line 334) | void array_real(const ArrayType& m)
  function array_complex (line 470) | void array_complex(const ArrayType& m)
  function min_max (line 587) | void min_max(const ArrayType& m)
  type shift_left (line 630) | struct shift_left {
    method Scalar (line 632) | Scalar operator()(const Scalar& v) const {
  type arithmetic_shift_right (line 638) | struct arithmetic_shift_right {
    method Scalar (line 640) | Scalar operator()(const Scalar& v) const {
  function array_integer (line 645) | void array_integer(const ArrayType& m)
  function EIGEN_DECLARE_TEST (line 664) | EIGEN_DECLARE_TEST(array_cwise)

FILE: VO_Module/thirdparty/eigen/test/array_for_matrix.cpp
  function array_for_matrix (line 12) | void array_for_matrix(const MatrixType& m)
  function comparisons (line 89) | void comparisons(const MatrixType& m)
  function lpNorm (line 155) | void lpNorm(const VectorType& v)
  function cwise_min_max (line 178) | void cwise_min_max(const MatrixType& m)
  function resize (line 216) | void resize(const MatrixTraits& t)
  function regression_bug_654 (line 242) | void regression_bug_654()
  function regrrssion_bug_1410 (line 250) | void regrrssion_bug_1410()
  function EIGEN_DECLARE_TEST (line 266) | EIGEN_DECLARE_TEST(array_for_matrix)

FILE: VO_Module/thirdparty/eigen/test/array_of_string.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(array_of_string)

FILE: VO_Module/thirdparty/eigen/test/array_replicate.cpp
  function replicate (line 12) | void replicate(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(array_replicate)

FILE: VO_Module/thirdparty/eigen/test/array_reverse.cpp
  function reverse (line 16) | void reverse(const MatrixType& m)
  function array_reverse_extra (line 127) | void array_reverse_extra()
  function EIGEN_DONT_INLINE (line 140) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 149) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 160) | EIGEN_DONT_INLINE
  function bug1684 (line 175) | void bug1684()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(array_reverse)

FILE: VO_Module/thirdparty/eigen/test/bandmatrix.cpp
  function bandmatrix (line 12) | void bandmatrix(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(bandmatrix)

FILE: VO_Module/thirdparty/eigen/test/basicstuff.cpp
  function basicStuff (line 15) | void basicStuff(const MatrixType& m)
  function basicStuffComplex (line 161) | void basicStuffComplex(const MatrixType& m)
  type casting_test (line 199) | struct casting_test {
    method run (line 200) | static void run() {
  type casting_test_runner (line 217) | struct casting_test_runner {
    method run (line 218) | static void run() {
  type casting_test_runner<SrcScalar, typename internal::enable_if<(NumTraits<SrcScalar>::IsComplex)>::type> (line 240) | struct casting_test_runner<SrcScalar, typename internal::enable_if<(NumT...
    method run (line 242) | static void run() {
  function casting_all (line 251) | void casting_all() {
  function fixedSizeMatrixConstruction (line 272) | void fixedSizeMatrixConstruction()
  function EIGEN_DECLARE_TEST (line 334) | EIGEN_DECLARE_TEST(basicstuff)

FILE: VO_Module/thirdparty/eigen/test/bdcsvd.cpp
  function bdcsvd (line 29) | void bdcsvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function bdcsvd_method (line 43) | void bdcsvd_method()
  function compare_bdc_jacobi (line 59) | void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int...
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(bdcsvd)

FILE: VO_Module/thirdparty/eigen/test/bfloat16_float.cpp
  type Eigen (line 20) | namespace Eigen {
    type bfloat16 (line 21) | struct bfloat16
  function BinaryToFloat (line 26) | float BinaryToFloat(uint32_t sign, uint32_t exponent, uint32_t high_mant...
  function test_roundtrip (line 36) | void test_roundtrip() {
  function test_conversion (line 48) | void test_conversion()
  function test_numtraits (line 172) | void test_numtraits()
  function test_arithmetic (line 210) | void test_arithmetic()
  function test_comparison (line 221) | void test_comparison()
  function test_basic_functions (line 259) | void test_basic_functions()
  function test_trigonometric_functions (line 307) | void test_trigonometric_functions()
  function test_array (line 331) | void test_array()
  function test_product (line 351) | void test_product()
  function EIGEN_DECLARE_TEST (line 366) | EIGEN_DECLARE_TEST(bfloat16_float)

FILE: VO_Module/thirdparty/eigen/test/bicgstab.cpp
  function test_bicgstab_T (line 13) | void test_bicgstab_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(bicgstab)

FILE: VO_Module/thirdparty/eigen/test/blasutil.cpp
  function compare (line 24) | void compare(const Packet& a, const Packet& b)
  type PacketBlockSet (line 43) | struct PacketBlockSet
    method setPacketBlock (line 47) | void setPacketBlock(internal::PacketBlock<Packet,n>& block, Scalar value)
    method comparePacketBlock (line 55) | void comparePacketBlock(Scalar *data, int i, int j, int stride, intern...
  function run_bdmp_spec_1 (line 66) | void run_bdmp_spec_1()
  function run_test (line 175) | void run_test()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(blasutil)

FILE: VO_Module/thirdparty/eigen/test/block.cpp
  function block_real_only (line 14) | typename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scal...
  function block_real_only (line 27) | typename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scala...
  function is_same_block (line 34) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function block (line 40) | void block(const MatrixType& m)
  function compare_using_data_and_stride (line 244) | void compare_using_data_and_stride(const MatrixType& m)
  function data_and_stride (line 277) | void data_and_stride(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 296) | EIGEN_DECLARE_TEST(block)

FILE: VO_Module/thirdparty/eigen/test/boostmultiprec.cpp
  type Eigen (line 80) | namespace Eigen {
    type NumTraits<Real> (line 81) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 82) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 86) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 89) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 92) | namespace internal {
      type cast_impl<Real,NewType> (line 94) | struct cast_impl<Real,NewType> {
        method NewType (line 95) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 101) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 102) | static inline std::complex<Real>  run(const Real& x) {
  type boost (line 109) | namespace boost {
    type multiprecision (line 110) | namespace multiprecision {
      function Real (line 119) | Real fabs(const Real& a) { return abs EIGEN_NOT_A_MACRO (a); }
      function Real (line 120) | Real fmax(const Real& a, const Real& b) { using std::max; return max...
      function test_isMuchSmallerThan (line 123) | inline bool test_isMuchSmallerThan(const Real& a, const Real& b) {
      function test_isApprox (line 127) | inline bool test_isApprox(const Real& a, const Real& b) {
      function test_isApproxOrLessThan (line 131) | inline bool test_isApproxOrLessThan(const Real& a, const Real& b) {
      function Real (line 135) | Real get_test_precision(const Real&) {
      function Real (line 139) | Real test_relative_error(const Real &a, const Real &b) {
  type Eigen (line 146) | namespace Eigen {
    type NumTraits<Real> (line 81) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 82) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 86) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 89) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 92) | namespace internal {
      type cast_impl<Real,NewType> (line 94) | struct cast_impl<Real,NewType> {
        method NewType (line 95) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 101) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 102) | static inline std::complex<Real>  run(const Real& x) {
  function EIGEN_DECLARE_TEST (line 150) | EIGEN_DECLARE_TEST(boostmultiprec)

FILE: VO_Module/thirdparty/eigen/test/bug1213.cpp
  function bug1213_1 (line 9) | bool bug1213_1(const Eigen::Vector3f& x)

FILE: VO_Module/thirdparty/eigen/test/bug1213_main.cpp
  function main (line 6) | int main()
  function bug1213_2 (line 13) | bool bug1213_2(const Eigen::Matrix<T,dim,1>& )

FILE: VO_Module/thirdparty/eigen/test/cholesky.cpp
  function matrix_l1_norm (line 18) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function test_chol_update (line 24) | void test_chol_update(const MatrixType& symm)
  function cholesky (line 56) | void cholesky(const MatrixType& m)
  function cholesky_cplx (line 286) | void cholesky_cplx(const MatrixType& m)
  function cholesky_bug241 (line 343) | void cholesky_bug241(const MatrixType& m)
  function cholesky_definiteness (line 361) | void cholesky_definiteness(const MatrixType& m)
  function cholesky_faillure_cases (line 410) | void cholesky_faillure_cases()
  function cholesky_verify_assert (line 471) | void cholesky_verify_assert()
  function EIGEN_DECLARE_TEST (line 495) | EIGEN_DECLARE_TEST(cholesky)

FILE: VO_Module/thirdparty/eigen/test/cholmod_support.cpp
  function test_cholmod_ST (line 15) | void test_cholmod_ST()
  function test_cholmod_T (line 53) | void test_cholmod_T()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cholmod_support)

FILE: VO_Module/thirdparty/eigen/test/commainitializer.cpp
  function test_blocks (line 14) | void test_blocks()
  type test_block_recursion (line 59) | struct test_block_recursion
    method run (line 61) | static void run()
  type test_block_recursion<0,N> (line 69) | struct test_block_recursion<0,N>
    method run (line 71) | static void run() {
  function test_basics (line 76) | void test_basics() {
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(commainitializer)

FILE: VO_Module/thirdparty/eigen/test/conjugate_gradient.cpp
  function test_conjugate_gradient_T (line 13) | void test_conjugate_gradient_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(conjugate_gradient)

FILE: VO_Module/thirdparty/eigen/test/conservative_resize.cpp
  function run_matrix_tests (line 18) | void run_matrix_tests()
  function run_vector_tests (line 61) | void run_vector_tests()
  function noncopyable (line 114) | void noncopyable()
  function EIGEN_DECLARE_TEST (line 139) | EIGEN_DECLARE_TEST(conservative_resize)

FILE: VO_Module/thirdparty/eigen/test/constructor.cpp
  type Wrapper (line 15) | struct Wrapper
    method Wrapper (line 18) | inline Wrapper(const MatrixType &x) : m_mat(x) {}
  type my_sizes (line 23) | enum my_sizes { M = 12, N = 7}
  function ctor_init1 (line 25) | void ctor_init1(const MatrixType& m)

FILE: VO_Module/thirdparty/eigen/test/corners.cpp
  function corners (line 16) | void corners(const MatrixType& m)
  function corners_fixedsize (line 45) | void corners_fixedsize()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(corners)

FILE: VO_Module/thirdparty/eigen/test/ctorleak.cpp
  type Foo (line 5) | struct Foo
    method Foo (line 11) | Foo() : dummy(0)
    class Fail (line 27) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(ctorleak)

FILE: VO_Module/thirdparty/eigen/test/denseLM.cpp
  type DenseLM (line 21) | struct DenseLM : DenseFunctor<Scalar>
    method DenseLM (line 27) | DenseLM(int n, int m) : DenseFunctor<Scalar>(n,m)
    method VectorType (line 30) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 50) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 78) | int df(const VectorType& uv, JacobianType& fjac)
  function test_minimizeLM (line 102) | int test_minimizeLM(FunctorType& functor, VectorType& uv)
  function test_lmder (line 115) | int test_lmder(FunctorType& functor, VectorType& uv)
  function test_minimizeSteps (line 128) | int test_minimizeSteps(FunctorType& functor, VectorType& uv)
  function test_denseLM_T (line 146) | void test_denseLM_T()
  function EIGEN_DECLARE_TEST (line 185) | EIGEN_DECLARE_TEST(denseLM)

FILE: VO_Module/thirdparty/eigen/test/dense_storage.cpp
  function dense_storage_copy (line 28) | void dense_storage_copy(int rows, int cols)
  function dense_storage_assignment (line 45) | void dense_storage_assignment(int rows, int cols)
  function dense_storage_swap (line 63) | void dense_storage_swap(int rows0, int cols0, int rows1, int cols1)
  function dense_storage_alignment (line 91) | void dense_storage_alignment()
  function dense_storage_tests (line 117) | void dense_storage_tests() {
  function EIGEN_DECLARE_TEST (line 184) | EIGEN_DECLARE_TEST(dense_storage)

FILE: VO_Module/thirdparty/eigen/test/determinant.cpp
  function determinant (line 14) | void determinant(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 53) | EIGEN_DECLARE_TEST(determinant)

FILE: VO_Module/thirdparty/eigen/test/diagonal.cpp
  function diagonal (line 12) | void diagonal(const MatrixType& m)
  function diagonal_assert (line 73) | void diagonal_assert(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(diagonal)

FILE: VO_Module/thirdparty/eigen/test/diagonal_matrix_variadic_ctor.cpp
  function assertionTest (line 15) | void assertionTest()
  function constructorTest (line 61) | void constructorTest()
  function EIGEN_DECLARE_TEST (line 168) | EIGEN_DECLARE_TEST(diagonal_matrix_variadic_ctor)

FILE: VO_Module/thirdparty/eigen/test/diagonalmatrices.cpp
  function diagonalmatrices (line 12) | void diagonalmatrices(const MatrixType& m)
  function as_scalar_product (line 117) | void as_scalar_product(const MatrixType& m)
  function bug987 (line 144) | void bug987()
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(diagonalmatrices)

FILE: VO_Module/thirdparty/eigen/test/dontalign.cpp
  function dontalign (line 20) | void dontalign(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 47) | EIGEN_DECLARE_TEST(dontalign)

FILE: VO_Module/thirdparty/eigen/test/dynalloc.cpp
  function check_handmade_aligned_malloc (line 21) | void check_handmade_aligned_malloc()
  function check_aligned_malloc (line 33) | void check_aligned_malloc()
  function check_aligned_new (line 45) | void check_aligned_new()
  function ei_declare_aligned_stack_constructed_variable (line 61) | ei_declare_aligned_stack_constructed_variable(float,p,i,0);
  function EIGEN_DECLARE_TEST (line 123) | EIGEN_DECLARE_TEST(dynalloc)

FILE: VO_Module/thirdparty/eigen/test/eigen2support.cpp
  function eigen2support (line 14) | void eigen2support(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 55) | EIGEN_DECLARE_TEST(eigen2support)

FILE: VO_Module/thirdparty/eigen/test/eigensolver_complex.cpp
  function find_pivot (line 16) | bool find_pivot(typename MatrixType::Scalar tol, MatrixType &diffs, Inde...
  function verify_is_approx_upto_permutation (line 55) | void verify_is_approx_upto_permutation(const VectorType& vec1, const Vec...
  function eigensolver (line 72) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 144) | void eigensolver_verify_assert(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 155) | EIGEN_DECLARE_TEST(eigensolver_complex)

FILE: VO_Module/thirdparty/eigen/test/eigensolver_generalized_real.cpp
  function generalized_eigensolver_real (line 16) | void generalized_eigensolver_real(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 88) | EIGEN_DECLARE_TEST(eigensolver_generalized_real)

FILE: VO_Module/thirdparty/eigen/test/eigensolver_generic.cpp
  function check_eigensolver_for_given_mat (line 16) | void check_eigensolver_for_given_mat(const EigType &eig, const MatType& a)
  function eigensolver (line 30) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 98) | void eigensolver_verify_assert(const MatrixType& m)
  function make_companion (line 114) | Matrix<typename CoeffType::Scalar,Dynamic,Dynamic>
  function eigensolver_generic_extra (line 126) | void eigensolver_generic_extra()
  function EIGEN_DECLARE_TEST (line 209) | EIGEN_DECLARE_TEST(eigensolver_generic)

FILE: VO_Module/thirdparty/eigen/test/eigensolver_selfadjoint.cpp
  function selfadjointeigensolver_essential_check (line 18) | void selfadjointeigensolver_essential_check(const MatrixType& m)
  function selfadjointeigensolver (line 69) | void selfadjointeigensolver(const MatrixType& m)
  function bug_854 (line 194) | void bug_854()
  function bug_1014 (line 204) | void bug_1014()
  function bug_1225 (line 214) | void bug_1225()
  function bug_1204 (line 226) | void bug_1204()
  function EIGEN_DECLARE_TEST (line 233) | EIGEN_DECLARE_TEST(eigensolver_selfadjoint)

FILE: VO_Module/thirdparty/eigen/test/evaluators.cpp
  type Eigen (line 4) | namespace Eigen {
    function prod (line 7) | const Product<Lhs,Rhs>
    function lazyprod (line 14) | const Product<Lhs,Rhs,LazyProduct>
    function EIGEN_STRONG_INLINE (line 21) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 29) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 37) | EIGEN_STRONG_INLINE
    function add_assign_using_evaluator (line 53) | void add_assign_using_evaluator(const DstXprType& dst, const SrcXprTyp...
    function subtract_assign_using_evaluator (line 60) | void subtract_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function multiply_assign_using_evaluator (line 67) | void multiply_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function divide_assign_using_evaluator (line 74) | void divide_assign_using_evaluator(const DstXprType& dst, const SrcXpr...
    function swap_using_evaluator (line 81) | void swap_using_evaluator(const DstXprType& dst, const SrcXprType& src)
    type internal (line 87) | namespace internal {
      function EIGEN_DEVICE_FUNC (line 89) | EIGEN_DEVICE_FUNC void call_assignment(const NoAlias<Dst,StorageBase...
      function EIGEN_DEVICE_FUNC (line 95) | EIGEN_DEVICE_FUNC void call_restricted_packet_assignment(const NoAli...
  function get_cost (line 103) | long get_cost(const XprType& ) { return Eigen::internal::evaluator<XprTy...
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(evaluators)

FILE: VO_Module/thirdparty/eigen/test/exceptions.cpp
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(exceptions)

FILE: VO_Module/thirdparty/eigen/test/fastmath.cpp
  function check (line 12) | void check(bool b, bool ref)
  type std (line 22) | namespace std {
  function check_inf_nan (line 30) | void check_inf_nan(bool dryrun) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(fastmath) {

FILE: VO_Module/thirdparty/eigen/test/first_aligned.cpp
  function test_first_aligned_helper (line 13) | void test_first_aligned_helper(Scalar *array, int size)
  function test_none_aligned_helper (line 20) | void test_none_aligned_helper(Scalar *array, int size)
  type some_non_vectorizable_type (line 27) | struct some_non_vectorizable_type { float x; }
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(first_aligned)

FILE: VO_Module/thirdparty/eigen/test/geo_alignedbox.cpp
  function EIGEN_DONT_INLINE (line 18) | EIGEN_DONT_INLINE
  function alignedbox (line 28) | void alignedbox(const BoxType& box)
  function alignedboxTranslatable (line 89) | void alignedboxTranslatable(const BoxType& box)
  function Rotation (line 177) | Rotation rotate2D(Scalar angle) {
  function Rotation (line 182) | Rotation rotate2DIntegral(typename NumTraits<Scalar>::NonInteger angle) {
  function Rotation (line 189) | Rotation rotate3DZAxis(Scalar angle) {
  function Rotation (line 194) | Rotation rotate3DZAxisIntegral(typename NumTraits<Scalar>::NonInteger an...
  function Rotation (line 201) | Rotation rotate4DZWAxis(Scalar angle) {
  function MatrixType (line 208) | MatrixType randomRotationMatrix()
  function boxGetCorners (line 223) | Matrix<Scalar, Dim, (1<<Dim)> boxGetCorners(const Matrix<Scalar, Dim, 1>...
  function alignedboxRotatable (line 234) | void alignedboxRotatable(
  function alignedboxNonIntegralRotatable (line 304) | void alignedboxNonIntegralRotatable(
  function alignedboxCastTests (line 429) | void alignedboxCastTests(const BoxType& box)
  function specificTest1 (line 454) | void specificTest1()
  function specificTest2 (line 481) | void specificTest2()
  function EIGEN_DECLARE_TEST (line 507) | EIGEN_DECLARE_TEST(geo_alignedbox)

FILE: VO_Module/thirdparty/eigen/test/geo_eulerangles.cpp
  function verify_euler (line 17) | void verify_euler(const Matrix<Scalar,3,1>& ea, int i, int j, int k)
  function check_all_var (line 41) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function eulerangles (line 59) | void eulerangles()
  function EIGEN_DECLARE_TEST (line 106) | EIGEN_DECLARE_TEST(geo_eulerangles)

FILE: VO_Module/thirdparty/eigen/test/geo_homogeneous.cpp
  function homogeneous (line 13) | void homogeneous(void)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_homogeneous)

FILE: VO_Module/thirdparty/eigen/test/geo_hyperplane.cpp
  function hyperplane (line 16) | void hyperplane(const HyperplaneType& _plane)
  function lines (line 88) | void lines()
  function planes (line 129) | void planes()
  function hyperplane_alignment (line 155) | void hyperplane_alignment()
  function EIGEN_DECLARE_TEST (line 178) | EIGEN_DECLARE_TEST(geo_hyperplane)

FILE: VO_Module/thirdparty/eigen/test/geo_orthomethods.cpp
  function orthomethods_3 (line 19) | void orthomethods_3()
  function orthomethods (line 80) | void orthomethods(int size=Size)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_orthomethods)

FILE: VO_Module/thirdparty/eigen/test/geo_parametrizedline.cpp
  function parametrizedline (line 16) | void parametrizedline(const LineType& _line)
  function parametrizedline_alignment (line 90) | void parametrizedline_alignment()
  function EIGEN_DECLARE_TEST (line 115) | EIGEN_DECLARE_TEST(geo_parametrizedline)

FILE: VO_Module/thirdparty/eigen/test/geo_quaternion.cpp
  function T (line 17) | T bounded_acos(T v)
  function check_slerp (line 25) | void check_slerp(const QuatType& q0, const QuatType& q1)
  function quaternion (line 46) | void quaternion(void)
  function mapQuaternion (line 184) | void mapQuaternion(void){
  function quaternionAlignment (line 261) | void quaternionAlignment(void){
  function check_const_correctness (line 282) | void check_const_correctness(const PlainObjectType&)
  type MovableClass (line 299) | struct MovableClass {
    method MovableClass (line 302) | MovableClass() = default;
    method MovableClass (line 303) | MovableClass(const MovableClass&) = default;
    method MovableClass (line 304) | MovableClass(MovableClass&&) noexcept = default;
    method MovableClass (line 305) | MovableClass& operator=(const MovableClass&) = default;
    method MovableClass (line 306) | MovableClass& operator=(MovableClass&&) = default;
  function EIGEN_DECLARE_TEST (line 312) | EIGEN_DECLARE_TEST(geo_quaternion)

FILE: VO_Module/thirdparty/eigen/test/geo_transformations.cpp
  function angleToVec (line 16) | Matrix<T,2,1> angleToVec(T a)
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE
  function non_projective_only (line 26) | void non_projective_only()
  function transformations (line 86) | void transformations()
  function transform_associativity_left (line 502) | void transform_associativity_left(const A1& a1, const A2& a2, const P& p...
  function transform_associativity2 (line 510) | void transform_associativity2(const A1& a1, const A2& a2, const P& p, co...
  function transform_associativity (line 520) | void transform_associativity(const RotationType& R)
  function transform_alignment (line 563) | void transform_alignment()
  function transform_products (line 587) | void transform_products()
  function transformations_no_scale (line 610) | void transformations_no_scale()
  function transformations_computed_scaling_continuity (line 670) | void transformations_computed_scaling_continuity()
  function EIGEN_DECLARE_TEST (line 697) | EIGEN_DECLARE_TEST(geo_transformations)

FILE: VO_Module/thirdparty/eigen/test/gpu_common.h
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 32) | EIGEN_HIP_LAUNCH_BOUNDS_1024
  type compile_time_device_info (line 115) | struct compile_time_device_info {
  function ei_test_init_gpu (line 131) | void ei_test_init_gpu()

FILE: VO_Module/thirdparty/eigen/test/half_float.cpp
  type Eigen (line 18) | namespace Eigen {
    type half (line 19) | struct half
  function test_conversion (line 24) | void test_conversion()
  function test_numtraits (line 123) | void test_numtraits()
  function test_arithmetic (line 162) | void test_arithmetic()
  function test_comparison (line 187) | void test_comparison()
  function test_basic_functions (line 225) | void test_basic_functions()
  function test_trigonometric_functions (line 278) | void test_trigonometric_functions()
  function test_array (line 302) | void test_array()
  function test_product (line 322) | void test_product()
  function EIGEN_DECLARE_TEST (line 337) | EIGEN_DECLARE_TEST(half_float)

FILE: VO_Module/thirdparty/eigen/test/hessenberg.cpp
  function hessenberg (line 14) | void hessenberg(int size = Size)
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(hessenberg)

FILE: VO_Module/thirdparty/eigen/test/householder.cpp
  function householder (line 13) | void householder(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 136) | EIGEN_DECLARE_TEST(householder)

FILE: VO_Module/thirdparty/eigen/test/incomplete_cholesky.cpp
  function test_incomplete_cholesky_T (line 15) | void test_incomplete_cholesky_T()
  function bug1150 (line 33) | void bug1150()
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(incomplete_cholesky)

FILE: VO_Module/thirdparty/eigen/test/indexed_view.cpp
  function encode (line 45) | int encode(Index i, Index j) {
  function IndexPair (line 49) | IndexPair decode(Index ij) {
  function match (line 54) | bool match(const T& xpr, std::string ref, std::string str_xpr = "") {
  function is_same_eq (line 66) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function is_same_seq (line 73) | bool is_same_seq(const T1& a, const T2& b)
  function is_same_seq_type (line 85) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  type DummyEnum (line 96) | enum DummyEnum { XX=0, YY=1 }
  function check_indexed_view (line 98) | void check_indexed_view()
  function EIGEN_DECLARE_TEST (line 455) | EIGEN_DECLARE_TEST(indexed_view)

FILE: VO_Module/thirdparty/eigen/test/initializer_list_construction.cpp
  type TestMethodDispatching (line 15) | struct TestMethodDispatching {
    method run (line 16) | static void run() {}
  type TestMethodDispatching<Scalar, 1> (line 20) | struct TestMethodDispatching<Scalar, 1> {
    method run (line 21) | static void run()
  function fixedsizeVariadicVectorConstruction2 (line 50) | void fixedsizeVariadicVectorConstruction2()
  function fixedsizeVariadicVectorConstruction3 (line 88) | void fixedsizeVariadicVectorConstruction3()
  function fixedsizeVariadicVectorConstruction (line 96) | void fixedsizeVariadicVectorConstruction()
  function initializerListVectorConstruction (line 105) | void initializerListVectorConstruction()
  function initializerListMatrixConstruction (line 161) | void initializerListMatrixConstruction()
  function initializerListArrayConstruction (line 233) | void initializerListArrayConstruction()
  function dynamicVectorConstruction (line 304) | void dynamicVectorConstruction()
  function EIGEN_DECLARE_TEST (line 335) | EIGEN_DECLARE_TEST(initializer_list_construction)

FILE: VO_Module/thirdparty/eigen/test/inplace_decomposition.cpp
  function inplace (line 17) | void inplace(bool square = false, bool SPD = false)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(inplace_decomposition)

FILE: VO_Module/thirdparty/eigen/test/integer_types.cpp
  function signed_integer_type_tests (line 19) | void signed_integer_type_tests(const MatrixType& m)
  function integer_type_tests (line 49) | void integer_type_tests(const MatrixType& m)
  function integer_types_extra (line 135) | void integer_types_extra()
  function EIGEN_DECLARE_TEST (line 145) | EIGEN_DECLARE_TEST(integer_types)

FILE: VO_Module/thirdparty/eigen/test/inverse.cpp
  function inverse_for_fixed_size (line 15) | void inverse_for_fixed_size(const MatrixType&, typename internal::enable...
  function inverse_for_fixed_size (line 20) | void inverse_for_fixed_size(const MatrixType& m1, typename internal::ena...
  function inverse (line 65) | void inverse(const MatrixType& m)
  function inverse_zerosized (line 109) | void inverse_zerosized()
  function EIGEN_DECLARE_TEST (line 124) | EIGEN_DECLARE_TEST(inverse)

FILE: VO_Module/thirdparty/eigen/test/io.cpp
  type check_ostream_impl (line 15) | struct check_ostream_impl
    method run (line 17) | static void run()
  type check_ostream_impl<bool> (line 29) | struct check_ostream_impl<bool>
    method run (line 31) | static void run()
  type check_ostream_impl< std::complex<Scalar> > (line 41) | struct check_ostream_impl< std::complex<Scalar> >
    method run (line 43) | static void run()
  function check_ostream (line 53) | static void check_ostream()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(rand)

FILE: VO_Module/thirdparty/eigen/test/is_same_dense.cpp
  function EIGEN_DECLARE_TEST (line 14) | EIGEN_DECLARE_TEST(is_same_dense)

FILE: VO_Module/thirdparty/eigen/test/jacobi.cpp
  function jacobi (line 15) | void jacobi(const MatrixType& m = MatrixType())
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(jacobi)

FILE: VO_Module/thirdparty/eigen/test/jacobisvd.cpp
  function jacobisvd (line 23) | void jacobisvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function jacobisvd_verify_assert (line 36) | void jacobisvd_verify_assert(const MatrixType& m)
  function jacobisvd_method (line 63) | void jacobisvd_method()
  type Foo (line 77) | namespace Foo {
    class Bar (line 80) | class Bar {public: Bar() {}}
      method Bar (line 80) | Bar() {}
  function msvc_workaround (line 85) | void msvc_workaround()
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(jacobisvd)

FILE: VO_Module/thirdparty/eigen/test/klu_support.cpp
  function test_klu_support_T (line 15) | void test_klu_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(klu_support)

FILE: VO_Module/thirdparty/eigen/test/linearstructure.cpp
  function linearStructure (line 16) | void linearStructure(const MatrixType& m)
  function real_complex (line 76) | void real_complex(DenseIndex rows = MatrixType::RowsAtCompileTime, Dense...
  function linearstructure_overflow (line 114) | void linearstructure_overflow()
  function EIGEN_DECLARE_TEST (line 126) | EIGEN_DECLARE_TEST(linearstructure)

FILE: VO_Module/thirdparty/eigen/test/lscg.cpp
  function test_lscg_T (line 13) | void test_lscg_T()
  function EIGEN_DECLARE_TEST (line 33) | EIGEN_DECLARE_TEST(lscg)

FILE: VO_Module/thirdparty/eigen/test/lu.cpp
  function matrix_l1_norm (line 16) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function lu_non_invertible (line 20) | void lu_non_invertible()
  function lu_invertible (line 110) | void lu_invertible()
  function lu_partial_piv (line 155) | void lu_partial_piv(Index size = MatrixType::ColsAtCompileTime)
  function lu_verify_assert (line 183) | void lu_verify_assert()
  function EIGEN_DECLARE_TEST (line 214) | EIGEN_DECLARE_TEST(lu)

FILE: VO_Module/thirdparty/eigen/test/main.h
  type real (line 100) | struct real {}
  type imag (line 101) | struct imag {}
  function on_temporary_creation (line 128) | inline void on_temporary_creation(long int size) {
  function namespace (line 163) | namespace Eigen
  function namespace (line 218) | namespace Eigen
  function namespace (line 249) | namespace Eigen
  function verify_impl (line 362) | inline void verify_impl(bool condition, const char *testname, const char...
  function namespace (line 406) | namespace Eigen {
  function namespace (line 436) | namespace Eigen {
  type typename (line 688) | typedef typename internal::traits<MatrixType>::Scalar Scalar;
  type Matrix (line 691) | typedef Matrix<Scalar, Dynamic, 1> VectorType;
  type Matrix (line 692) | typedef Matrix<Scalar, Rows, Rows> MatrixAType;
  type Matrix (line 693) | typedef Matrix<Scalar, Cols, Cols> MatrixBType;
  type typename (line 735) | typedef typename PermutationVectorType::Scalar Scalar;
  type typename (line 761) | typedef typename internal::traits<MatrixType>::Scalar Scalar;
  type Matrix (line 762) | typedef Matrix<Scalar, Dynamic, 1> VectorType;
  type typename (line 807) | typedef typename internal::traits<MatrixType>::Scalar Scalar;
  type Matrix (line 808) | typedef Matrix<Scalar, Rows, Rows> MatrixAType;
  type Matrix (line 809) | typedef Matrix<Scalar, Cols, Cols> MatrixBType;
  function float (line 920) | struct GetDifferentType<float> { typedef double type; }
  function double (line 921) | struct GetDifferentType<double> { typedef float type; }
  function string (line 925) | string type_name()                    { return "other"; }

FILE: VO_Module/thirdparty/eigen/test/mapped_matrix.cpp
  function map_class_vector (line 18) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 51) | void map_class_matrix(const MatrixType& m)
  function map_static_methods (line 121) | void map_static_methods(const VectorType& m)
  function check_const_correctness (line 146) | void check_const_correctness(const PlainObjectType&)
  function map_not_aligned_on_scalar (line 161) | void map_not_aligned_on_scalar()
  function EIGEN_DECLARE_TEST (line 181) | EIGEN_DECLARE_TEST(mapped_matrix)

FILE: VO_Module/thirdparty/eigen/test/mapstaticmethods.cpp
  type mapstaticmethods_impl (line 23) | struct mapstaticmethods_impl {}
  type mapstaticmethods_impl<PlainObjectType, false, IsVector> (line 26) | struct mapstaticmethods_impl<PlainObjectType, false, IsVector>
    method run (line 28) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, false> (line 72) | struct mapstaticmethods_impl<PlainObjectType, true, false>
    method run (line 74) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, true> (line 118) | struct mapstaticmethods_impl<PlainObjectType, true, true>
    method run (line 120) | static void run(const PlainObjectType& v)
  function mapstaticmethods (line 144) | void mapstaticmethods(const PlainObjectType& m)
  function EIGEN_DECLARE_TEST (line 150) | EIGEN_DECLARE_TEST(mapstaticmethods)

FILE: VO_Module/thirdparty/eigen/test/mapstride.cpp
  function map_class_vector (line 12) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 50) | void map_class_matrix(const MatrixType& _m)
  function bug1453 (line 196) | void bug1453()
  function EIGEN_DECLARE_TEST (line 226) | EIGEN_DECLARE_TEST(mapstride)

FILE: VO_Module/thirdparty/eigen/test/meta.cpp
  function check_is_convertible (line 13) | bool check_is_convertible(const From&, const To&)
  type FooReturnType (line 18) | struct FooReturnType {
  type MyInterface (line 22) | struct MyInterface {
  type MyImpl (line 26) | struct MyImpl : public MyInterface {
    method func (line 27) | void func() {}
  function EIGEN_DECLARE_TEST (line 30) | EIGEN_DECLARE_TEST(meta)

FILE: VO_Module/thirdparty/eigen/test/metis_support.cpp
  function test_metis_T (line 15) | void test_metis_T()
  function EIGEN_DECLARE_TEST (line 22) | EIGEN_DECLARE_TEST(metis_support)

FILE: VO_Module/thirdparty/eigen/test/miscmatrices.cpp
  function miscMatrices (line 12) | void miscMatrices(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(miscmatrices)

FILE: VO_Module/thirdparty/eigen/test/mixingtypes.cpp
  function raise_assertion (line 53) | void raise_assertion(Index size = SizeAtCompileType)
  function mixingtypes (line 74) | void mixingtypes(int size = SizeAtCompileType)
  function EIGEN_DECLARE_TEST (line 312) | EIGEN_DECLARE_TEST(mixingtypes)

FILE: VO_Module/thirdparty/eigen/test/mpl2only.cpp
  function main (line 21) | int main()

FILE: VO_Module/thirdparty/eigen/test/nestbyvalue.cpp
  function XprType (line 17) | XprType get_xpr_with_temps(const MatrixXd& a)
  function EIGEN_DECLARE_TEST (line 24) | EIGEN_DECLARE_TEST(nestbyvalue)

FILE: VO_Module/thirdparty/eigen/test/nesting_ops.cpp
  function use_n_times (line 16) | void use_n_times(const XprType &xpr)
  function verify_eval_type (line 27) | bool verify_eval_type(const XprType &, const ReferenceType&)
  function run_nesting_ops_1 (line 33) | void run_nesting_ops_1(const MatrixType& _m)
  function run_nesting_ops_2 (line 48) | void run_nesting_ops_2(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 94) | EIGEN_DECLARE_TEST(nesting_ops)

FILE: VO_Module/thirdparty/eigen/test/nomalloc.cpp
  function nomalloc (line 23) | void nomalloc(const MatrixType& m)
  function ctms_decompositions (line 92) | void ctms_decompositions()
  function test_zerosized (line 158) | void test_zerosized() {
  function test_reference (line 171) | void test_reference(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 205) | EIGEN_DECLARE_TEST(nomalloc)

FILE: VO_Module/thirdparty/eigen/test/nullary.cpp
  function equalsIdentity (line 14) | bool equalsIdentity(const MatrixType& A)
  function check_extremity_accuracy (line 37) | void check_extremity_accuracy(const VectorType &v, const typename Vector...
  function testVectorType (line 64) | void testVectorType(const VectorType& base)
  function testMatrixType (line 216) | void testMatrixType(const MatrixType& m)
  function bug79 (line 244) | void bug79()
  function bug1630 (line 251) | void bug1630()
  function nullary_overflow (line 259) | void nullary_overflow()
  function nullary_internal_logic (line 271) | void nullary_internal_logic()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(nullary)

FILE: VO_Module/thirdparty/eigen/test/num_dimensions.cpp
  function check_dim (line 14) | void check_dim(const Xpr& ) {
  function map_num_dimensions (line 20) | void map_num_dimensions()
  function EIGEN_DECLARE_TEST (line 63) | EIGEN_DECLARE_TEST(num_dimensions)

FILE: VO_Module/thirdparty/eigen/test/numext.cpp
  function check_if_equal_or_nans (line 13) | bool check_if_equal_or_nans(const T& actual, const U& expected) {
  function check_if_equal_or_nans (line 18) | bool check_if_equal_or_nans(const std::complex<T>& actual, const std::co...
  function test_is_equal_or_nans (line 24) | bool test_is_equal_or_nans(const T& actual, const U& expected)
  function check_abs (line 40) | void check_abs() {
  function check_arg (line 65) | void check_arg() {
  type check_sqrt_impl (line 79) | struct check_sqrt_impl {
    method run (line 80) | static void run() {
  type check_sqrt_impl<std::complex<T>  > (line 100) | struct check_sqrt_impl<std::complex<T>  > {
    method run (line 101) | static void run() {
  function check_sqrt (line 150) | void check_sqrt() {
  type check_rsqrt_impl (line 155) | struct check_rsqrt_impl {
    method run (line 156) | static void run() {
  type check_rsqrt_impl<std::complex<T> > (line 178) | struct check_rsqrt_impl<std::complex<T> > {
    method run (line 179) | static void run() {
  function check_rsqrt (line 238) | void check_rsqrt() {
  function EIGEN_DECLARE_TEST (line 242) | EIGEN_DECLARE_TEST(numext) {

FILE: VO_Module/thirdparty/eigen/test/packetmath.cpp
  function T (line 15) | inline T REF_ADD(const T& a, const T& b) {
  function T (line 19) | inline T REF_SUB(const T& a, const T& b) {
  function T (line 23) | inline T REF_MUL(const T& a, const T& b) {
  function T (line 27) | inline T REF_DIV(const T& a, const T& b) {
  function T (line 31) | inline T REF_ABS_DIFF(const T& a, const T& b) {
  function REF_ADD (line 37) | inline bool REF_ADD(const bool& a, const bool& b) {
  function REF_SUB (line 41) | inline bool REF_SUB(const bool& a, const bool& b) {
  function REF_MUL (line 45) | inline bool REF_MUL(const bool& a, const bool& b) {
  function T (line 50) | inline T REF_FREXP(const T& x, T& exp) {
  function T (line 59) | inline T REF_LDEXP(const T& x, const T& exp) {
  type pcast_array (line 66) | struct pcast_array
  type pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> (line 69) | struct pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> {
    method cast (line 72) | static void cast(const SrcScalar* src, size_t size, TgtScalar* dst) {
  type pcast_array<SrcPacket, TgtPacket, 2, 1> (line 87) | struct pcast_array<SrcPacket, TgtPacket, 2, 1> {
    method cast (line 88) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 4, 1> (line 101) | struct pcast_array<SrcPacket, TgtPacket, 4, 1> {
    method cast (line 102) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 8, 1> (line 117) | struct pcast_array<SrcPacket, TgtPacket, 8, 1> {
    method cast (line 118) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type test_cast_helper (line 137) | struct test_cast_helper
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, false> (line 140) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 141) | static void run() {}
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, true> (line 145) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 146) | static void run() {
  type test_cast (line 175) | struct test_cast {
    method run (line 176) | static void run() {
  type test_cast_runner (line 195) | struct test_cast_runner
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> (line 198) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> {
    method run (line 199) | static void run() { test_cast<SrcPacket, TgtPacket>::run(); }
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> (line 203) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> {
    method run (line 204) | static void run() {
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> (line 211) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> {
    method run (line 212) | static void run() {}
  type packetmath_pcast_ops_runner (line 216) | struct packetmath_pcast_ops_runner {
    method run (line 217) | static void run() {
  type packetmath_pcast_ops_runner<Scalar, Packet, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 238) | struct packetmath_pcast_ops_runner<Scalar, Packet, typename internal::en...
    method run (line 239) | static void run() {
  function packetmath_boolean_mask_ops (line 248) | void packetmath_boolean_mask_ops() {
  function packetmath_boolean_mask_ops_real (line 283) | void packetmath_boolean_mask_ops_real() {
  function packetmath_boolean_mask_ops_notcomplex (line 313) | void packetmath_boolean_mask_ops_notcomplex() {
  function packetmath_minus_zero_add (line 353) | void packetmath_minus_zero_add() {
  type eigen_optimization_barrier_test (line 372) | struct eigen_optimization_barrier_test {
    method run (line 373) | static void run() {}
  type eigen_optimization_barrier_test<Packet, typename internal::enable_if<
    !NumTraits<Packet>::IsComplex &&
    !internal::is_same<Packet, Eigen::half>::value &&
    !internal::is_same<Packet, Eigen::bfloat16>::value
  >::type> (line 377) | struct eigen_optimization_barrier_test<Packet, typename internal::enable...
    method run (line 382) | static void run() {
  function packetmath (line 392) | void packetmath() {
  function Scalar (line 624) | Scalar log2(Scalar x) {
  function packetmath_real (line 629) | void packetmath_real() {
  function Scalar (line 986) | Scalar propagate_nan_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 993) | Scalar propagate_nan_min(const Scalar& a, const Scalar& b) {
  function Scalar (line 1000) | Scalar propagate_number_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 1007) | Scalar propagate_number_min(const Scalar& a, const Scalar& b) {
  function packetmath_notcomplex (line 1014) | void packetmath_notcomplex() {
  function test_conj_helper (line 1114) | void test_conj_helper(Scalar* data1, Scalar* data2, Scalar* ref, Scalar*...
  function packetmath_complex (line 1140) | void packetmath_complex() {
  function packetmath_scatter_gather (line 1213) | void packetmath_scatter_gather() {
  type Eigen (line 1248) | namespace Eigen {
    type test (line 1249) | namespace test {
      type runall<Scalar, PacketType, false, false> (line 1252) | struct runall<Scalar, PacketType, false, false> {  // i.e. float or ...
        method run (line 1253) | static void run() {
      type runall<Scalar, PacketType, false, true> (line 1262) | struct runall<Scalar, PacketType, false, true> {  // i.e. int
        method run (line 1263) | static void run() {
      type runall<Scalar, PacketType, true, false> (line 1271) | struct runall<Scalar, PacketType, true, false> {  // i.e. complex
        method run (line 1272) | static void run() {
  function EIGEN_DECLARE_TEST (line 1282) | EIGEN_DECLARE_TEST(packetmath) {

FILE: VO_Module/thirdparty/eigen/test/packetmath_test_shared.h
  function namespace (line 21) | namespace Eigen {
  function namespace (line 72) | namespace test {
  function Packet (line 148) | Packet load(const T* from) const { return internal::pload<Packet>(from); }
  function Packet (line 151) | Packet loadu(const T* from) const { return internal::ploadu<Packet>(from...
  function Packet (line 154) | Packet load(const T* from, unsigned long long umask) const { return inte...
  function store (line 157) | void store(T* to, const Packet& x) const { internal::pstore(to,x); }
  function store (line 160) | void store(T* to, const Packet& x, unsigned long long umask) const { int...
  function run (line 252) | static void run() {
  function run (line 261) | static void run() {
  function run (line 269) | static void run() {

FILE: VO_Module/thirdparty/eigen/test/pardiso_support.cpp
  function test_pardiso_T (line 8) | void test_pardiso_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(pardiso_support)

FILE: VO_Module/thirdparty/eigen/test/pastix_support.cpp
  function test_pastix_T (line 17) | void test_pastix_T()
  function test_pastix_T_LU (line 42) | void test_pastix_T_LU()
  function EIGEN_DECLARE_TEST (line 48) | EIGEN_DECLARE_TEST(pastix_support)

FILE: VO_Module/thirdparty/eigen/test/permutationmatrices.cpp
  function permutationmatrices (line 15) | void permutationmatrices(const MatrixType& m)
  function bug890 (line 146) | void bug890()
  function EIGEN_DECLARE_TEST (line 169) | EIGEN_DECLARE_TEST(permutationmatrices)

FILE: VO_Module/thirdparty/eigen/test/prec_inverse_4x4.cpp
  function inverse_permutation_4x4 (line 14) | void inverse_permutation_4x4()
  function inverse_general_4x4 (line 29) | void inverse_general_4x4(int repeat)
  function EIGEN_DECLARE_TEST (line 70) | EIGEN_DECLARE_TEST(prec_inverse_4x4)

FILE: VO_Module/thirdparty/eigen/test/product.h
  type Matrix (line 26) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> RowVectorType;
  type Matrix (line 27) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> ColVectorType;
  type Matrix (line 28) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAt...
  type Matrix (line 29) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 30) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 248) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixX;

FILE: VO_Module/thirdparty/eigen/test/product_extra.cpp
  function product_extra (line 12) | void product_extra(const MatrixType& m)
  function mat_mat_scalar_scalar_product (line 129) | void mat_mat_scalar_scalar_product()
  function zero_sized_objects (line 139) | void zero_sized_objects(const MatrixType& m)
  function bug_127 (line 198) | void bug_127()
  function bug_817 (line 222) | void bug_817()
  function unaligned_objects (line 232) | void unaligned_objects()
  function EIGEN_DONT_INLINE (line 262) | EIGEN_DONT_INLINE
  function Index (line 271) | Index compute_block_size()
  function aliasing_with_resize (line 285) | void aliasing_with_resize()
  function bug_1308 (line 329) | void bug_1308()
  function EIGEN_DECLARE_TEST (line 371) | EIGEN_DECLARE_TEST(product_extra)

FILE: VO_Module/thirdparty/eigen/test/product_large.cpp
  function test_aliasing (line 14) | void test_aliasing()
  function product_large_regressions (line 35) | void product_large_regressions()
  function bug_1622 (line 92) | void bug_1622() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(product_large)

FILE: VO_Module/thirdparty/eigen/test/product_mmtr.cpp
  function mmtr (line 28) | void mmtr(int size)
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(product_mmtr)

FILE: VO_Module/thirdparty/eigen/test/product_notemporary.cpp
  function check_scalar_multiple3 (line 15) | void check_scalar_multiple3(Dst &dst, const Lhs& A, const Rhs& B)
  function check_scalar_multiple2 (line 26) | void check_scalar_multiple2(Dst &dst, const Lhs& A, const Rhs& B, S2 s2)
  function check_scalar_multiple1 (line 36) | void check_scalar_multiple1(Dst &dst, const Lhs& A, const Rhs& B, S1 s1,...

FILE: VO_Module/thirdparty/eigen/test/product_selfadjoint.cpp
  function product_selfadjoint (line 12) | void product_selfadjoint(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(product_selfadjoint)

FILE: VO_Module/thirdparty/eigen/test/product_small.cpp
  function product1x1 (line 16) | void product1x1()
  function TC (line 34) | const TC& ref_prod(TC &C, const TA &A, const TB &B)
  function test_lazy_single (line 44) | typename internal::enable_if<! ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_dynamic_bool (line 59) | void test_dynamic_bool()
  function test_lazy_single (line 84) | typename internal::enable_if<  ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_lazy_all_layout (line 95) | void test_lazy_all_layout(int rows=Rows, int cols=Cols, int depth=Depth)
  function test_lazy_l1 (line 108) | void test_lazy_l1()
  function test_lazy_l2 (line 137) | void test_lazy_l2()
  function test_lazy_l3 (line 173) | void test_lazy_l3()
  function test_linear_but_not_vectorizable (line 206) | void test_linear_but_not_vectorizable()
  function bug_1311 (line 238) | void bug_1311()
  function product_small_regressions (line 256) | void product_small_regressions()
  function EIGEN_DECLARE_TEST (line 285) | EIGEN_DECLARE_TEST(product_small)

FILE: VO_Module/thirdparty/eigen/test/product_symm.cpp
  function symm (line 12) | void symm(int size = Size, int othersize = OtherSize)
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(product_symm)

FILE: VO_Module/thirdparty/eigen/test/product_syrk.cpp
  function syrk (line 12) | void syrk(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(product_syrk)

FILE: VO_Module/thirdparty/eigen/test/product_trmm.cpp
  function get_random_size (line 13) | int get_random_size()
  function trmm (line 21) | void trmm(int rows=get_random_size<Scalar>(),
  function trmv (line 94) | void trmv(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function trmm (line 100) | void trmm(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(product_trmm)

FILE: VO_Module/thirdparty/eigen/test/product_trmv.cpp
  function trmv (line 12) | void trmv(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(product_trmv)

FILE: VO_Module/thirdparty/eigen/test/product_trsolve.cpp
  function trsolve (line 30) | void trsolve(int size=Size,int cols=Cols)
  function EIGEN_DECLARE_TEST (line 102) | EIGEN_DECLARE_TEST(product_trsolve)

FILE: VO_Module/thirdparty/eigen/test/qr.cpp
  function qr (line 14) | void qr(const MatrixType& m)
  function qr_fixedsize (line 32) | void qr_fixedsize()
  function qr_invertible (line 48) | void qr_invertible()
  function qr_verify_assert (line 89) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(qr)

FILE: VO_Module/thirdparty/eigen/test/qr_colpivoting.cpp
  function cod (line 17) | void cod() {
  function cod_fixedsize (line 67) | void cod_fixedsize() {
  function qr (line 99) | void qr()
  function qr_fixedsize (line 161) | void qr_fixedsize()
  function qr_kahan_matrix (line 210) | void qr_kahan_matrix()
  function qr_invertible (line 250) | void qr_invertible()
  function qr_verify_assert (line 284) | void qr_verify_assert()
  function cod_verify_assert (line 303) | void cod_verify_assert()
  function EIGEN_DECLARE_TEST (line 322) | EIGEN_DECLARE_TEST(qr_colpivoting)

FILE: VO_Module/thirdparty/eigen/test/qr_fullpivoting.cpp
  function qr (line 15) | void qr()
  function qr_invertible (line 70) | void qr_invertible()
  function qr_verify_assert (line 109) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qr_fullpivoting)

FILE: VO_Module/thirdparty/eigen/test/qtvector.cpp
  function check_qtvector_matrix (line 19) | void check_qtvector_matrix(const MatrixType& m)
  function check_qtvector_transform (line 59) | void check_qtvector_transform(const TransformType&)
  function check_qtvector_quaternion (line 94) | void check_qtvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qtvector)

FILE: VO_Module/thirdparty/eigen/test/rand.cpp
  function Scalar (line 14) | Scalar check_in_range(Scalar x, Scalar y)
  function check_all_in_range (line 25) | void check_all_in_range(Scalar x, Scalar y)
  function check_histogram (line 40) | void check_histogram(Scalar x, Scalar y, int bins)
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(rand)

FILE: VO_Module/thirdparty/eigen/test/random_matrix.cpp
  function check_generateRandomUnitaryMatrix (line 15) | void check_generateRandomUnitaryMatrix(const Index dim)
  function check_setupRandomSvs (line 27) | void check_setupRandomSvs(const Index dim, const RealScalarType max)
  function check_setupRangeSvs (line 42) | void check_setupRangeSvs(const Index dim, const RealScalarType min, cons...
  function check_generateRandomMatrixSvs (line 61) | void check_generateRandomMatrixSvs(const Index rows, const Index cols, c...
  function check_random_matrix (line 80) | void check_random_matrix(const MatrixType &m)
  function EIGEN_DECLARE_TEST (line 109) | EIGEN_DECLARE_TEST(random_matrix)

FILE: VO_Module/thirdparty/eigen/test/random_without_cast_overflow.h
  function namespace (line 13) | namespace Eigen {
  function SrcScalar (line 126) | static SrcScalar value() { return SrcScalar(random_without_cast_overflow...
  function SrcScalar (line 135) | static SrcScalar value() { return random_without_cast_overflow<SrcScalar...
  type typename (line 144) | typedef typename NumTraits<TgtScalar>::Real TgtReal;
  function SrcScalar (line 145) | static SrcScalar value() {

FILE: VO_Module/thirdparty/eigen/test/real_qz.cpp
  function real_qz (line 15) | void real_qz(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 78) | EIGEN_DECLARE_TEST(real_qz)

FILE: VO_Module/thirdparty/eigen/test/redux.cpp
  function matrixRedux (line 17) | void matrixRedux(const MatrixType& m)
  function vectorRedux (line 85) | void vectorRedux(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(redux)

FILE: VO_Module/thirdparty/eigen/test/ref.cpp
  function ref_matrix (line 33) | void ref_matrix(const MatrixType& m)
  function ref_vector (line 80) | void ref_vector(const VectorType& m)
  function ref_vector_fixed_sizes (line 145) | void ref_vector_fixed_sizes()
  function check_const_correctness (line 207) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 218) | EIGEN_DONT_INLINE void call_ref_1(Ref<VectorXf> a, const B &b) { VERIFY_...
  function EIGEN_DONT_INLINE (line 220) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const VectorXf>& a, const B ...
  function EIGEN_DONT_INLINE (line 222) | EIGEN_DONT_INLINE void call_ref_3(Ref<VectorXf,0,InnerStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 224) | EIGEN_DONT_INLINE void call_ref_4(const Ref<const VectorXf,0,InnerStride...
  function EIGEN_DONT_INLINE (line 226) | EIGEN_DONT_INLINE void call_ref_5(Ref<MatrixXf,0,OuterStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 228) | EIGEN_DONT_INLINE void call_ref_6(const Ref<const MatrixXf,0,OuterStride...
  function EIGEN_DONT_INLINE (line 230) | EIGEN_DONT_INLINE void call_ref_7(Ref<Matrix<float,Dynamic,3> > a, const...
  function call_ref (line 232) | void call_ref()
  function test_ref_overload_fun1 (line 293) | int test_ref_overload_fun1(Ref<MatrixXd> )       { return 1; }
  function test_ref_overload_fun1 (line 294) | int test_ref_overload_fun1(Ref<RowMatrixXd> )    { return 2; }
  function test_ref_overload_fun1 (line 295) | int test_ref_overload_fun1(Ref<MatrixXf> )       { return 3; }
  function test_ref_overload_fun2 (line 297) | int test_ref_overload_fun2(Ref<const MatrixXd> ) { return 4; }
  function test_ref_overload_fun2 (line 298) | int test_ref_overload_fun2(Ref<const MatrixXf> ) { return 5; }
  function test_ref_ambiguous (line 300) | void test_ref_ambiguous(const Ref<const ArrayXd> &A, Ref<ArrayXd> B)
  function test_ref_overloads (line 307) | void test_ref_overloads()
  function test_ref_fixed_size_assert (line 323) | void test_ref_fixed_size_assert()
  function EIGEN_DECLARE_TEST (line 334) | EIGEN_DECLARE_TEST(ref)

FILE: VO_Module/thirdparty/eigen/test/reshape.cpp
  function is_same_eq (line 14) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function check_auto_reshape4x4 (line 21) | void check_auto_reshape4x4(MatType m)
  function check_direct_access_reshape4x4 (line 53) | void check_direct_access_reshape4x4(MatType , internal::FixedInt<RowMajo...
  function check_direct_access_reshape4x4 (line 56) | void check_direct_access_reshape4x4(MatType m, internal::FixedInt<0>) {
  function reshape4x4 (line 67) | void reshape4x4(MatType m)
  function EIGEN_DECLARE_TEST (line 196) | EIGEN_DECLARE_TEST(reshape)

FILE: VO_Module/thirdparty/eigen/test/resize.cpp
  function resizeLikeTest (line 13) | void resizeLikeTest()
  function resizeLikeTest12 (line 32) | void resizeLikeTest12() { resizeLikeTest<1,2>(); }
  function resizeLikeTest1020 (line 33) | void resizeLikeTest1020() { resizeLikeTest<10,20>(); }
  function resizeLikeTest31 (line 34) | void resizeLikeTest31() { resizeLikeTest<3,1>(); }
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(resize)

FILE: VO_Module/thirdparty/eigen/test/rvalue_types.cpp
  function rvalue_copyassign (line 24) | void rvalue_copyassign(const MatrixType& m)
  function rvalue_transpositions (line 51) | void rvalue_transpositions(Index rows)
  function rvalue_move (line 84) | void rvalue_move(const MatrixType& m)
  function rvalue_copyassign (line 119) | void rvalue_copyassign(const MatrixType&) {}
  function rvalue_transpositions (line 121) | void rvalue_transpositions(Index) {}
  function rvalue_move (line 123) | void rvalue_move(const MatrixType&) {}
  function EIGEN_DECLARE_TEST (line 126) | EIGEN_DECLARE_TEST(rvalue_types)

FILE: VO_Module/thirdparty/eigen/test/schur_complex.cpp
  function schur (line 14) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(schur_complex)

FILE: VO_Module/thirdparty/eigen/test/schur_real.cpp
  function verifyIsQuasiTriangular (line 14) | void verifyIsQuasiTriangular(const MatrixType& T)
  function schur (line 38) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(schur_real)

FILE: VO_Module/thirdparty/eigen/test/selfadjoint.cpp
  function selfadjoint (line 16) | void selfadjoint(const MatrixType& m)
  function bug_159 (line 53) | void bug_159()
  function EIGEN_DECLARE_TEST (line 59) | EIGEN_DECLARE_TEST(selfadjoint)

FILE: VO_Module/thirdparty/eigen/test/simplicial_cholesky.cpp
  function test_simplicial_cholesky_T (line 12) | void test_simplicial_cholesky_T()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(simplicial_cholesky)

FILE: VO_Module/thirdparty/eigen/test/sizeof.cpp
  function verifySizeOf (line 12) | void verifySizeOf(const MatrixType&)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(sizeof)

FILE: VO_Module/thirdparty/eigen/test/sizeoverflow.cpp
  function triggerMatrixBadAlloc (line 22) | void triggerMatrixBadAlloc(Index rows, Index cols)
  function triggerVectorBadAlloc (line 30) | void triggerVectorBadAlloc(Index size)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(sizeoverflow)

FILE: VO_Module/thirdparty/eigen/test/smallvectors.cpp
  function smallVectors (line 13) | void smallVectors()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(smallvectors)

FILE: VO_Module/thirdparty/eigen/test/sparseLM.cpp
  type sparseGaussianTest (line 21) | struct sparseGaussianTest : SparseFunctor<Scalar, int>
    method sparseGaussianTest (line 26) | sparseGaussianTest(int inputs, int values) : SparseFunctor<Scalar,int>...
    method VectorType (line 29) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 54) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 83) | int df(const VectorType& uv, JacobianType& fjac)
  function test_sparseLM_T (line 129) | void test_sparseLM_T()
  function EIGEN_DECLARE_TEST (line 171) | EIGEN_DECLARE_TEST(sparseLM)

FILE: VO_Module/thirdparty/eigen/test/sparse_basic.cpp
  function sparse_basic (line 24) | void sparse_basic(const SparseMatrixType& ref)
  function big_sparse_triplet (line 685) | void big_sparse_triplet(Index rows, Index cols, double density) {
  function bug1105 (line 711) | void bug1105()
  function EIGEN_DECLARE_TEST (line 727) | EIGEN_DECLARE_TEST(sparse_basic)

FILE: VO_Module/thirdparty/eigen/test/sparse_block.cpp
  function innervec (line 14) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==RowMajorBit,...
  function innervec (line 21) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==0, typename ...
  function sparse_block (line 27) | void sparse_block(const SparseMatrixType& ref)
  function EIGEN_DECLARE_TEST (line 293) | EIGEN_DECLARE_TEST(sparse_block)

FILE: VO_Module/thirdparty/eigen/test/sparse_permutations.cpp
  function is_sorted (line 23) | bool is_sorted(const T& mat) {
  function eval (line 38) | typename internal::nested_eval<T,1>::type eval(const T &xpr)
  function sparse_permutations (line 44) | void sparse_permutations(const SparseMatrixType& ref)
  function sparse_permutations_all (line 215) | void sparse_permutations_all(int size)
  function EIGEN_DECLARE_TEST (line 223) | EIGEN_DECLARE_TEST(sparse_permutations)

FILE: VO_Module/thirdparty/eigen/test/sparse_product.cpp
  function on_temporary_creation (line 18) | inline void on_temporary_creation() {
  function sparse_product (line 36) | void sparse_product()
  function sparse_product_regression_test (line 338) | void sparse_product_regression_test()
  function bug_942 (line 360) | void bug_942()
  function test_mixing_types (line 383) | void test_mixing_types()
  function EIGEN_DECLARE_TEST (line 464) | EIGEN_DECLARE_TEST(sparse_product)

FILE: VO_Module/thirdparty/eigen/test/sparse_ref.cpp
  function on_temporary_creation (line 17) | inline void on_temporary_creation() {
  function check_const_correctness (line 34) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void call_ref_1(Ref<SparseMatrix<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 48) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float> >&...
  function EIGEN_DONT_INLINE (line 51) | EIGEN_DONT_INLINE void call_ref_3(const Ref<const SparseMatrix<float>, S...
  function EIGEN_DONT_INLINE (line 57) | EIGEN_DONT_INLINE void call_ref_4(Ref<SparseVector<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 60) | EIGEN_DONT_INLINE void call_ref_5(const Ref<const SparseVector<float> >&...
  function call_ref (line 62) | void call_ref()
  function EIGEN_DECLARE_TEST (line 129) | EIGEN_DECLARE_TEST(sparse_ref)

FILE: VO_Module/thirdparty/eigen/test/sparse_solver.h
  type typename (line 47) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 152) | typedef typename Eigen::SparseMatrix<Scalar> Mat;
  type typename (line 153) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 154) | typedef typename Eigen::SparseLU<Eigen::SparseMatrix<Scalar> > Solver;
  type typename (line 281) | typedef typename Solver::MatrixType Mat;
  type typename (line 282) | typedef typename Mat::Scalar Scalar;
  type typename (line 283) | typedef typename Mat::RealScalar RealScalar;
  type typename (line 314) | typedef typename Solver::MatrixType Mat;
  type typename (line 315) | typedef typename Mat::Scalar Scalar;
  type typename (line 331) | typedef typename Solver::MatrixType Mat;
  type typename (line 332) | typedef typename Mat::Scalar Scalar;
  type typename (line 348) | typedef typename Solver::MatrixType Mat;
  type typename (line 349) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 350) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 406) | typedef typename Solver::MatrixType Mat;
  type typename (line 407) | typedef typename Mat::Scalar Scalar;
  type typename (line 408) | typedef typename Mat::StorageIndex StorageIndex;
  type SparseMatrix (line 409) | typedef SparseMatrix<Scalar,ColMajor, StorageIndex> SpMat;
  type Matrix (line 411) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 412) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 491) | typedef typename Solver::MatrixType Mat;
  type typename (line 492) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 493) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 509) | typedef typename Solver::MatrixType Mat;
  type typename (line 510) | typedef typename Mat::Scalar Scalar;
  type prune_column (line 524) | struct prune_column {
  type typename (line 536) | typedef typename Solver::MatrixType Mat;
  type typename (line 537) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 538) | typedef SparseMatrix<Scalar,ColMajor, typename
  type SparseVector (line 539) | typedef SparseVector<Scalar, 0, typename
  type Matrix (line 540) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 541) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 613) | typedef typename Solver::MatrixType Mat;
  type typename (line 614) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 615) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 636) | typedef typename Solver::MatrixType Mat;
  type typename (line 637) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 638) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 653) | typedef typename Solver::MatrixType Mat;
  type typename (line 654) | typedef typename Mat::Scalar Scalar;
  type typename (line 668) | typedef typename Solver::MatrixType Mat;
  type typename (line 669) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 670) | typedef SparseMatrix<Scalar,ColMajor, typename
  type Matrix (line 671) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 672) | typedef Matrix<Scalar,Dynamic,1> DenseVector;

FILE: VO_Module/thirdparty/eigen/test/sparse_solvers.cpp
  function initSPD (line 12) | void
  function sparse_solvers (line 33) | void sparse_solvers(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 117) | EIGEN_DECLARE_TEST(sparse_solvers)

FILE: VO_Module/thirdparty/eigen/test/sparse_vector.cpp
  function sparse_vector (line 12) | void sparse_vector(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 148) | EIGEN_DECLARE_TEST(sparse_vector)

FILE: VO_Module/thirdparty/eigen/test/sparselu.cpp
  function test_sparselu_T (line 22) | void test_sparselu_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(sparselu)

FILE: VO_Module/thirdparty/eigen/test/sparseqr.cpp
  function generate_sparse_rectangular_problem (line 13) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_sparseqr_scalar (line 44) | void test_sparseqr_scalar()
  function EIGEN_DECLARE_TEST (line 141) | EIGEN_DECLARE_TEST(sparseqr)

FILE: VO_Module/thirdparty/eigen/test/special_numbers.cpp
  function special_numbers (line 12) | void special_numbers()
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(special_numbers)

FILE: VO_Module/thirdparty/eigen/test/spqr_support.cpp
  function generate_sparse_rectangular_problem (line 15) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_spqr_scalar (line 30) | void test_spqr_scalar()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(spqr_support)

FILE: VO_Module/thirdparty/eigen/test/stable_norm.cpp
  function EIGEN_DONT_INLINE (line 12) | EIGEN_DONT_INLINE T copy(const T& x)
  function stable_norm (line 17) | void stable_norm(const MatrixType& m)
  function test_hypot (line 199) | void test_hypot()
  function EIGEN_DECLARE_TEST (line 229) | EIGEN_DECLARE_TEST(stable_norm)

FILE: VO_Module/thirdparty/eigen/test/stddeque.cpp
  function check_stddeque_matrix (line 16) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 46) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 75) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stddeque)

FILE: VO_Module/thirdparty/eigen/test/stddeque_overload.cpp
  function check_stddeque_matrix (line 29) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 64) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 98) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(stddeque_overload)

FILE: VO_Module/thirdparty/eigen/test/stdlist.cpp
  function check_stdlist_matrix (line 16) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 46) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 75) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stdlist)

FILE: VO_Module/thirdparty/eigen/test/stdlist_overload.cpp
  function get (line 29) | typename Container::iterator get(Container & c, Position position)
  function set (line 37) | void set(Container & c, Position position, const Value & value)
  function check_stdlist_matrix (line 45) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 86) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 126) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 165) | EIGEN_DECLARE_TEST(stdlist_overload)

FILE: VO_Module/thirdparty/eigen/test/stdvector.cpp
  function check_stdvector_matrix (line 15) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 51) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 86) | void check_stdvector_quaternion(const QuaternionType&)
  function std_vector_gcc_warning (line 123) | void std_vector_gcc_warning()
  function EIGEN_DECLARE_TEST (line 130) | EIGEN_DECLARE_TEST(stdvector)

FILE: VO_Module/thirdparty/eigen/test/stdvector_overload.cpp
  function check_stdvector_matrix (line 29) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 65) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 100) | void check_stdvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(stdvector_overload)

FILE: VO_Module/thirdparty/eigen/test/stl_iterators.cpp
  function make_reverse_iterator (line 15) | std::reverse_iterator<Iterator>
  function ForwardIt (line 23) | ForwardIt is_sorted_until(ForwardIt firstIt, ForwardIt lastIt)
  function is_sorted (line 36) | bool is_sorted(ForwardIt firstIt, ForwardIt lastIt)
  function is_pointer_based_stl_iterator (line 45) | bool is_pointer_based_stl_iterator(const internal::pointer_based_stl_ite...
  function is_generic_randaccess_stl_iterator (line 48) | bool is_generic_randaccess_stl_iterator(const internal::generic_randacce...
  function is_default_constructible_and_assignable (line 51) | bool is_default_constructible_and_assignable(const Iter& it)
  function check_begin_end_for_loop (line 63) | void check_begin_end_for_loop(Xpr xpr)
  function test_stl_iterators (line 123) | void test_stl_iterators(int rows=Rows, int cols=Cols)
  function IsContainerType (line 514) | bool IsContainerType(int /* dummy */) { return true; }
  function IsContainerType (line 517) | bool IsContainerType(long /* dummy */) { return false; }
  function test_stl_container_detection (line 520) | void test_stl_container_detection(int rows=Rows, int cols=Cols)
  function EIGEN_DECLARE_TEST (line 549) | EIGEN_DECLARE_TEST(stl_iterators)

FILE: VO_Module/thirdparty/eigen/test/superlu_support.cpp
  function EIGEN_DECLARE_TEST (line 15) | EIGEN_DECLARE_TEST(superlu_support)

FILE: VO_Module/thirdparty/eigen/test/svd_common.h
  type typename (line 35) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 36) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 37) | typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixUType;
  type Matrix (line 38) | typedef Matrix<Scalar, ColsAtCompileTime, ColsAtCompileTime> MatrixVType;
  type typename (line 63) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 102) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 103) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 112) | typedef Matrix<Scalar, RowsAtCompileTime, Dynamic> RhsType;
  type Matrix (line 113) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type typename (line 169) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 176) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type Matrix (line 183) | typedef Matrix<Scalar, RankAtCompileTime2, ColsAtCompileTime> MatrixType2;
  type Matrix (line 184) | typedef Matrix<Scalar, RankAtCompileTime2, 1> RhsType2;
  type Matrix (line 185) | typedef Matrix<Scalar, ColsAtCompileTime, RankAtCompileTime2> MatrixType2T;
  type Matrix (line 209) | typedef Matrix<Scalar, RowsAtCompileTime3, ColsAtCompileTime> MatrixType3;
  type Matrix (line 210) | typedef Matrix<Scalar, RowsAtCompileTime3, 1> RhsType3;
  type Matrix (line 238) | typedef Matrix<typename
  type typename (line 307) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 467) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 476) | typedef Matrix<Scalar, RowsAtCompileTime, 1> RhsType;

FILE: VO_Module/thirdparty/eigen/test/svd_fill.h
  type typename (line 24) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 25) | typedef typename MatrixType::RealScalar RealScalar;

FILE: VO_Module/thirdparty/eigen/test/swap.cpp
  type other_matrix_type (line 14) | struct other_matrix_type
  type other_matrix_type<Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows_, MaxCols_> > (line 20) | struct other_matrix_type<Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows...
  function swap (line 25) | void swap(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 86) | EIGEN_DECLARE_TEST(swap)

FILE: VO_Module/thirdparty/eigen/test/symbolic_index.cpp
  function is_same_symb (line 23) | bool is_same_symb(const T1& a, const T2& b, Index size)
  function check_symbolic_index (line 40) | void check_symbolic_index()
  function EIGEN_DECLARE_TEST (line 80) | EIGEN_DECLARE_TEST(symbolic_index)

FILE: VO_Module/thirdparty/eigen/test/triangular.cpp
  function triangular_deprecated (line 17) | void triangular_deprecated(const MatrixType &m)
  function triangular_square (line 40) | void triangular_square(const MatrixType& m)
  function triangular_rect (line 178) | void triangular_rect(const MatrixType& m)
  function bug_159 (line 260) | void bug_159()
  function EIGEN_DECLARE_TEST (line 266) | EIGEN_DECLARE_TEST(triangular)

FILE: VO_Module/thirdparty/eigen/test/type_alias.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(type_alias)

FILE: VO_Module/thirdparty/eigen/test/umeyama.cpp
  function randMatrixUnitary (line 22) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixUnitary(int s...
  function randMatrixSpecialUnitary (line 75) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixSpecialUnitar...
  function run_test (line 91) | void run_test(int dim, int num_elements)
  function run_fixed_size_test (line 121) | void run_fixed_size_test(int num_elements)
  function EIGEN_DECLARE_TEST (line 158) | EIGEN_DECLARE_TEST(umeyama)

FILE: VO_Module/thirdparty/eigen/test/umfpack_support.cpp
  function test_umfpack_support_T (line 15) | void test_umfpack_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(umfpack_support)

FILE: VO_Module/thirdparty/eigen/test/unalignedcount.cpp
  function EIGEN_DECLARE_TEST (line 31) | EIGEN_DECLARE_TEST(unalignedcount)

FILE: VO_Module/thirdparty/eigen/test/upperbidiagonalization.cpp
  function upperbidiag (line 13) | void upperbidiag(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(upperbidiagonalization)

FILE: VO_Module/thirdparty/eigen/test/vectorization_logic.cpp
  function test_assign (line 38) | bool test_assign(const Dst&, const Src&, int traversal, int unrolling)
  function test_assign (line 63) | bool test_assign(int traversal, int unrolling)
  function test_redux (line 84) | bool test_redux(const Xpr&, int traversal, int unrolling)
  type vectorization_logic (line 105) | struct vectorization_logic
    method run (line 115) | static void run()
  type vectorization_logic<Scalar,false> (line 264) | struct vectorization_logic<Scalar,false>
    method run (line 266) | static void run() {}
  type vectorization_logic_half (line 271) | struct vectorization_logic_half
    method run (line 278) | static void run()
  type vectorization_logic_half<Scalar,false> (line 389) | struct vectorization_logic_half<Scalar,false>
    method run (line 391) | static void run() {}
  function EIGEN_DECLARE_TEST (line 394) | EIGEN_DECLARE_TEST(vectorization_logic)

FILE: VO_Module/thirdparty/eigen/test/vectorwiseop.cpp
  function vectorwiseop_array (line 16) | void vectorwiseop_array(const ArrayType& m)
  function vectorwiseop_matrix (line 129) | void vectorwiseop_matrix(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 286) | EIGEN_DECLARE_TEST(vectorwiseop)

FILE: VO_Module/thirdparty/eigen/test/visitor.cpp
  function matrixVisitor (line 12) | void matrixVisitor(const MatrixType& p)
  function vectorVisitor (line 99) | void vectorVisitor(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(visitor)

FILE: VO_Module/thirdparty/eigen/test/zerosized.cpp
  function zeroReduction (line 13) | void zeroReduction(const MatrixType& m) {
  function zeroSizedMatrix (line 34) | void zeroSizedMatrix()
  function zeroSizedVector (line 77) | void zeroSizedVector()
  function EIGEN_DECLARE_TEST (line 93) | EIGEN_DECLARE_TEST(zerosized)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 116) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, Index secondIn...
  function Scalar (line 125) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 142) | const Scalar& coeff() const
  function Scalar (line 204) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 209) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 214) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 219) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 237) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 242) | const Scalar& operator()(Index index) const
  function Scalar (line 248) | const Scalar& operator()() const
  function m_storage (line 335) | Tensor(const Self& other)
  function EIGEN_STRONG_INLINE (line 342) | EIGEN_STRONG_INLINE Tensor(Index firstDimension, IndexTypes... otherDime...
  function explicit (line 349) | explicit Tensor(Index dim1)
  function EIGEN_DEVICE_FUNC (line 354) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2)
  function EIGEN_DEVICE_FUNC (line 359) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 364) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 369) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function explicit (line 377) | explicit Tensor(const array<Index, NumIndices>& dimensions)
  type TensorAssignOp (line 397) | typedef TensorAssignOp<Tensor, const
  type TensorAssignOp (line 420) | typedef TensorAssignOp<Tensor, const
  function resize (line 439) | void resize(Index firstDimension, IndexTypes... otherDimensions)
  function EIGEN_DEVICE_FUNC (line 448) | EIGEN_DEVICE_FUNC void resize(const array<Index, NumIndices>& dimensions)
  function EIGEN_DEVICE_FUNC (line 466) | EIGEN_DEVICE_FUNC void resize(const DSizes<Index, NumIndices>& dimension...
  function EIGEN_DEVICE_FUNC (line 474) | EIGEN_DEVICE_FUNC
  function resize (line 484) | void resize(const Eigen::IndexList<FirstType, OtherTypes...>& dimensions) {
  function resize (line 515) | size_t V5>
  function Index (line 547) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 57) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 58) | typedef typename Eigen::internal::nested<TensorIndexTupleOp>::type Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorIndexTupleOp>::StorageKin...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorIndexTupleOp>::Index Index;
  type Tuple (line 61) | typedef Tuple<Index, typename
  function m_xpr (line 63) | TensorIndexTupleOp(const XprType& expr)
  type typename (line 79) | typedef typename XprType::Index Index;
  type typename (line 80) | typedef typename XprType::Scalar Scalar;
  type typename (line 81) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 83) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 85) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 86) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 99) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 102) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 109) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 113) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 117) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 122) | TensorOpCost
  function bind (line 130) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 139) | namespace internal {
  type TensorTupleReducerOp (line 163) | typedef const TensorTupleReducerOp<ReduceOp, Dims, XprType>EIGEN_DEVICE_...
  type typename (line 179) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Scalar S...
  type typename (line 180) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 181) | typedef typename Eigen::internal::nested<TensorTupleReducerOp>::type Nes...
  type typename (line 182) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::StorageK...
  type typename (line 183) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Index In...
  type Index (line 184) | typedef Index CoeffReturnType;
  type typename (line 217) | typedef typename XprType::Index Index;
  type typename (line 218) | typedef typename XprType::Scalar Scalar;
  type typename (line 219) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 220) | typedef typename TensorIndexTupleOp<ArgType>::CoeffReturnType TupleType;
  type typename (line 221) | typedef typename TensorEvaluator<const TensorReductionOp<ReduceOp, Dims,...
  type typename (line 222) | typedef typename TensorEvaluator<const TensorIndexTupleOp<ArgType> , Dev...
  type array (line 224) | typedef array<Index, NumDims> StrideDims;
  type StorageMemory (line 225) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 226) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 227) | typedef StorageMemory<TupleType, Device> TupleStorageMem;
  type internal (line 240) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 266) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 270) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 274) | CoeffReturnType coeff(Index index) const {
  function bind (line 281) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 287) | TensorOpCost

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 65) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 66) | typedef typename LhsXprType::CoeffReturnType CoeffReturnType;
  type typename (line 67) | typedef typename Eigen::internal::nested<TensorAssignOp>::type Nested;
  type typename (line 68) | typedef typename Eigen::internal::traits<TensorAssignOp>::StorageKind St...
  type typename (line 69) | typedef typename Eigen::internal::traits<TensorAssignOp>::Index Index;
  type typename (line 95) | typedef typename XprType::Index Index;
  type typename (line 96) | typedef typename XprType::Scalar Scalar;
  type typename (line 97) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 98) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 99) | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimen...
  type StorageMemory (line 100) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 101) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 120) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 121) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 123) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  function EIGEN_STRONG_INLINE (line 145) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 157) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 166) | EIGEN_STRONG_INLINE void cleanup() {
  function evalScalar (line 171) | void evalScalar(Index i) {
  function evalPacket (line 174) | void evalPacket(Index i) {
  function EIGEN_DEVICE_FUNC (line 180) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 185) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 190) | TensorOpCost
  function evalBlock (line 210) | void evalBlock(
  function bind (line 231) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
  function namespace (line 15) | namespace Eigen {
  type Eigen (line 604) | typedef Eigen::IndexPair<Index> DimensionPair;
  type TensorScanOp (line 633) | typedef TensorScanOp<internal::SumReducer<CoeffReturnType>, const
  type TensorScanOp (line 640) | typedef TensorScanOp<internal::ProdReducer<CoeffReturnType>, const
  function TensorLayoutSwapOp (line 877) | const TensorLayoutSwapOp<const Derived>
  function TensorIndexTupleOp (line 940) | const TensorIndexTupleOp<const Derived>
  type TensorAssignOp (line 1170) | typedef TensorAssignOp<Derived, const

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
  function namespace (line 11) | namespace Eigen {
  function TensorBlockShapeType (line 73) | enum class TensorBlockShapeType { kUniformAllDims, kSkewedInnerDims };
  function class (line 202) | class DestinationBuffer {
  function IndexType (line 300) | IndexType dimension(int index) const { return m_dimensions[index]; }
  function TensorBlockDescriptor (line 331) | TensorBlockDescriptor WithOffset(IndexType offset) const {
  type TensorBlockDescriptor (line 348) | typedef TensorBlockDescriptor<NumDims, IndexType> BlockDescriptor;
  function BlockDescriptor (line 374) | BlockDescriptor
  function reset (line 572) | void reset() { m_allocation_index = 0; }
  type Allocation (line 575) | struct Allocation {
  type TensorBlockKind (line 589) | enum TensorBlockKind {
  function class (line 617) | class TensorBlockNotImplemented {
  type typename (line 629) | typedef typename XprType::Scalar type;
  function void (line 632) | struct XprScalar<void> {
  type TensorMap (line 659) | typedef TensorMap<const Tensor<Scalar, NumDims, Layout> > XprType;
  function XprType (line 677) | const XprType& expr() const {
  function cleanup (line 682) | void cleanup() {}
  type internal (line 684) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  function class (line 694) | class Storage {
  function TensorMaterializedBlock (line 762) | static TensorMaterializedBlock materialize(
  type typename (line 845) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 850) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 853) | const Scalar* data() const { return NULL; }
  function cleanup (line 854) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 878) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 887) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 893) | const Scalar* data() const { return NULL; }
  function cleanup (line 895) | void cleanup() {
  type typename (line 913) | typedef typename ArgTensorBlock::XprType ArgXprType;
  type typename (line 921) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 927) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 929) | const Scalar* data() const { return NULL; }
  function cleanup (line 930) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 944) | typedef typename Arg1TensorBlock::XprType Arg1XprType;
  type typename (line 945) | typedef typename Arg2TensorBlock::XprType Arg2XprType;
  type typename (line 946) | typedef typename Arg3TensorBlock::XprType Arg3XprType;
  type typename (line 958) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 969) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 974) | const Scalar* data() const { return NULL; }
  function cleanup (line 975) | void cleanup() {
  type typename (line 994) | typedef typename packet_traits<Scalar>::type Packet;
  type class (line 1002) | enum class
  type Dst (line 1011) | struct Dst {
  type Src (line 1019) | struct Src {
  function Run (line 1029) | void Run(const Dst& dst,
  function Run (line 1038) | void Run(
  type StridedLinearBufferCopy (line 1146) | typedef StridedLinearBufferCopy<Scalar, IndexType> LinCopy;
  type DSizes (line 1150) | typedef DSizes<int, NumDims> DimensionsMap;
  type Dst (line 1152) | struct Dst {
  type Src (line 1163) | struct Src {
  function IndexType (line 1178) | IndexType Copy(
  function IndexType (line 1321) | IndexType Copy(const Dst& dst,
  type BlockIteratorState (line 1329) | struct BlockIteratorState {
  type Target (line 1435) | struct Target {
  function Run (line 1465) | void Run(

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
  function namespace (line 13) | namespace Eigen {
  function Sizes (line 54) | struct is_input_scalar<Sizes<> > {
  type is_input_scalar (line 59) | struct is_input_scalar
  type typename (line 73) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 74) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 75) | typedef typename Eigen::internal::nested<TensorBroadcastingOp>::type Nes...
  type typename (line 76) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::StorageK...
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::Index In...
  type typename (line 100) | typedef typename XprType::Index Index;
  type DSizes (line 102) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 103) | typedef typename XprType::Scalar Scalar;
  type typename (line 104) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 105) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 106) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 112) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 123) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 130) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 131) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 133) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 136) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 213) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 220) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 226) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 230) | CoeffReturnType coeff(Index index) const
  function Index (line 252) | Index indexColMajor(Index index) const {
  function CoeffReturnType (line 282) | CoeffReturnType coeffColMajor(Index index) const
  function Index (line 287) | Index indexRowMajor(Index index) const {
  function CoeffReturnType (line 317) | CoeffReturnType coeffRowMajor(Index index) const
  function EIGEN_ALWAYS_INLINE (line 323) | EIGEN_ALWAYS_INLINE PacketReturnType packet(Index index) const
  function EIGEN_STRONG_INLINE (line 368) | EIGEN_STRONG_INLINE PacketReturnType packetOneByNByOne
  function EIGEN_STRONG_INLINE (line 411) | EIGEN_STRONG_INLINE PacketReturnType packetOneByN(Index index) const
  function EIGEN_STRONG_INLINE (line 441) | EIGEN_STRONG_INLINE PacketReturnType packetNByOne(Index index) const
  function EIGEN_STRONG_INLINE (line 478) | EIGEN_STRONG_INLINE PacketReturnType packetColMajor(Index index) const
  function EIGEN_STRONG_INLINE (line 536) | EIGEN_STRONG_INLINE PacketReturnType packetRowMajor(Index index) const
  type BlockBroadcastingParams (line 724) | struct BlockBroadcastingParams {
  type BlockBroadcastingIteratorState (line 745) | struct BlockBroadcastingIteratorState {
  function BlockBroadcastingParams (line 752) | BlockBroadcastingParams
  function Index (line 849) | Index BroadcastBlockAlongBcastDim(
  function Index (line 1016) | Index BroadcastBlock(

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 53) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DimensionId(DenseIndex dim) {
  function Dynamic (line 62) | struct DimensionId<Dynamic>
  type typename (line 84) | typedef typename Eigen::internal::traits<TensorChippingOp>::Scalar Scalar;
  type typename (line 85) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 86) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 87) | typedef typename Eigen::internal::nested<TensorChippingOp>::type Nested;
  type typename (line 88) | typedef typename Eigen::internal::traits<TensorChippingOp>::StorageKind ...
  type typename (line 89) | typedef typename Eigen::internal::traits<TensorChippingOp>::Index Index;
  type typename (line 120) | typedef typename XprType::Index Index;
  type DSizes (line 121) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 122) | typedef typename XprType::Scalar Scalar;
  type typename (line 123) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 124) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 126) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 127) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 151) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 154) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 155) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type internal (line 157) | typedef internal::TensorBlockDescriptor<NumInputDims, Index>
  type typename (line 159) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 162) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 203) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 208) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 212) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 218) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 259) | TensorOpCost
  type TensorChippingOp (line 414) | typedef TensorChippingOp<DimId, ArgType> XprType;
  type typename (line 417) | typedef typename XprType::Index Index;
  type DSizes (line 418) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 419) | typedef typename XprType::Scalar Scalar;
  type typename (line 420) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 421) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 433) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  function EIGEN_STRONG_INLINE (line 436) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function writePacket (line 446) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 485) | void writeBlock(

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 64) | typedef typename internal::traits<TensorConcatenationOp>::Scalar Scalar;
  type typename (line 65) | typedef typename internal::traits<TensorConcatenationOp>::StorageKind St...
  type typename (line 66) | typedef typename internal::traits<TensorConcatenationOp>::Index Index;
  type typename (line 67) | typedef typename internal::nested<TensorConcatenationOp>::type Nested;
  type typename (line 68) | typedef typename internal::promote_storage_type<typename
  type typename (line 70) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 98) | typedef typename XprType::Index Index;
  type DSizes (line 101) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 102) | typedef typename XprType::Scalar Scalar;
  type typename (line 103) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 104) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 105) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 106) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 119) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 175) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType)
  function EIGEN_STRONG_INLINE (line 182) | EIGEN_STRONG_INLINE void cleanup()
  function CoeffReturnType (line 190) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 248) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 263) | TensorOpCost
  function bind (line 282) | void bind(cl::sycl::handler &cgh) const {
  type TensorConcatenationOp (line 304) | typedef TensorConcatenationOp<Axis, LeftArgType, RightArgType> XprType;
  type typename (line 305) | typedef typename Base::Dimensions Dimensions;
  type internal (line 318) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 321) | EIGEN_STRONG_INLINE TensorEvaluator(XprType& op, const Device& device)
  type typename (line 327) | typedef typename XprType::Index Index;
  type typename (line 328) | typedef typename XprType::Scalar Scalar;
  type typename (line 329) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 330) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 361) | void writePacket(Index index, const PacketReturnType& x)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
  function namespace (line 13) | namespace Eigen {
  type LeftArgType_ (line 68) | typedef LeftArgType_ LeftArgType;
  type RightArgType_ (line 69) | typedef RightArgType_ RightArgType;
  type OutputKernelType_ (line 70) | typedef OutputKernelType_ OutputKernelType;
  type Device_ (line 71) | typedef Device_ Device;
  function BlockMemHandle (line 83) | static BlockMemHandle allocate(Device& d, const Index bm,
  function BlockMemHandle (line 99) | static BlockMemHandle allocateSlices(
  function deallocate (line 131) | static void deallocate(Device& d, BlockMemHandle handle) {
  type BlockSizes (line 136) | struct BlockSizes {
  function EIGEN_DEVICE_FUNC (line 140) | EIGEN_DEVICE_FUNC static BlockSizes ComputeLhsRhsBlockSizes(const Index bm,
  type RhsScalar (line 194) | typedef RhsScalar* RhsBlock;
  type TensorContractionBlockMemAllocator (line 197) | typedef TensorContractionBlockMemAllocator<LhsScalar, RhsScalar>
  type typename (line 199) | typedef typename BlockMemAllocator::BlockMemHandle BlockMemHandle;
  type typename (line 201) | typedef typename internal::gebp_traits<LhsScalar, RhsScalar> Traits;
  type internal (line 203) | typedef internal::gemm_pack_lhs<
  type internal (line 208) | typedef internal::gemm_pack_rhs<RhsScalar, StorageIndex,
  type internal (line 213) | typedef internal::gebp_kernel<LhsScalar, RhsScalar, StorageIndex,
  function deallocate (line 234) | static void deallocate(Device& d, BlockMemHandle handle) {
  function packLhs (line 238) | void packLhs(
  function packRhs (line 245) | void packRhs(
  function invoke (line 251) | void invoke(
  type TensorContractionParams (line 281) | struct TensorContractionParams {
  type NoOpOutputKernel (line 294) | struct NoOpOutputKernel {
  type typename (line 329) | typedef typename internal::gebp_traits<typename
  type typename (line 331) | typedef typename Eigen::internal::nested<TensorContractionOp>::type Nested;
  type typename (line 332) | typedef typename Eigen::internal::traits<TensorContractionOp>::StorageKi...
  type typename (line 333) | typedef typename Eigen::internal::traits<TensorContractionOp>::Index Index;
  type typename (line 367) | typedef typename internal::traits<Derived>::Indices Indices;
  type typename (line 368) | typedef typename internal::traits<Derived>::LeftArgType LeftArgType;
  type typename (line 369) | typedef typename internal::traits<Derived>::RightArgType RightArgType;
  type typename (line 370) | typedef typename internal::traits<Derived>::OutputKernelType OutputKerne...
  type typename (line 371) | typedef typename internal::traits<Derived>::Device Device;
  type TensorContractionOp (line 373) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 374) | typedef typename internal::remove_const<typename
  type typename (line 375) | typedef typename XprType::Index Index;
  type typename (line 376) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 377) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 378) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 379) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 392) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 399) | typedef typename internal::conditional<
  type typename (line 401) | typedef typename internal::conditional<
  type TensorEvaluator (line 404) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluatorType;
  type TensorEvaluator (line 405) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluatorType;
  type array (line 414) | typedef array<Index, ContractDims> contract_t;
  type array (line 415) | typedef array<Index, LDims
  type array (line 416) | typedef array<Index, RDims
  type DSizes (line 418) | typedef DSizes<Index, NumDims> Dimensions;
  function EIGEN_STRONG_INLINE (line 605) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 620) | void evalSubExprsIfNeededAsync(
  function EIGEN_DEVICE_FUNC (line 702) | EIGEN_DEVICE_FUNC void evalTo(Scalar* buffer) const {
  function evalGemv (line 732) | void evalGemv(Scalar* buffer) const {
  function evalGemm (line 781) | void evalGemm(Scalar* buffer) const {
  function evalGemmPartialWithoutOutputKernel (line 792) | void evalGemmPartialWithoutOutputKernel(
  function evalGemmPartial (line 801) | void evalGemmPartial(Scalar* buffer, Index k_start, Index k_end, int num...
  function EIGEN_STRONG_INLINE (line 915) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 925) | CoeffReturnType coeff(Index index) const {
  function TensorOpCost (line 929) | TensorOpCost costPerCoeff(bool) const {
  function EIGEN_STRONG_INLINE (line 934) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  type TensorContractionEvaluatorBase (line 976) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 978) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 979) | typedef typename internal::remove_const<typename
  type typename (line 980) | typedef typename XprType::Index Index;
  type typename (line 981) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 982) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 992) | typedef typename internal::conditional<
  type typename (line 994) | typedef typename internal::conditional<
  type array (line 1003) | typedef array<Index, ContractDims> contract_t;
  type array (line 1004) | typedef array<Index, LDims
  type array (line 1005) | typedef array<Index, RDims
  type DSizes (line 1010) | typedef DSizes<Index, NumDims> Dimensions;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionBlocking.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionGpu.h
  function namespace (line 17) | namespace Eigen {
  function EigenFloatContractionKernelInternal16x16 (line 534) | void
  function EigenFloatContractionKernelInternal (line 774) | void
  type float2 (line 1149) | typedef float2 LHS_MEM[64][32];
  type float2 (line 1150) | typedef float2 RHS_MEM[128][8];
  type TensorEvaluator (line 1224) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1225) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1227) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1228) | typedef typename internal::remove_const<typename
  type typename (line 1229) | typedef typename XprType::Index Index;
  type typename (line 1230) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1231) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 1241) | typedef typename internal::conditional<
  type typename (line 1243) | typedef typename internal::conditional<
  type array (line 1252) | typedef array<Index, LDims> left_dim_mapper_t;
  type array (line 1253) | typedef array<Index, RDims> right_dim_mapper_t;
  type array (line 1255) | typedef array<Index, ContractDims> contract_t;
  type array (line 1256) | typedef array<Index, LDims
  type array (line 1257) | typedef array<Index, RDims
  type DSizes (line 1261) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 1264) | typedef typename internal::remove_const<typename
  type typename (line 1265) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 1267) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluator;
  type TensorEvaluator (line 1268) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluator;
  type typename (line 1270) | typedef typename LeftEvaluator::Dimensions LeftDimensions;
  type typename (line 1271) | typedef typename RightEvaluator::Dimensions RightDimensions;
  function EIGEN_STRONG_INLINE (line 1281) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
  function evalTo (line 1294) | void evalTo(Scalar* buffer) const {
  function Run (line 1334) | static void Run(const LhsMapper& lhs, const RhsMapper& rhs, const Output...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h
  function namespace (line 13) | namespace Eigen {
  function bind (line 100) | void bind(cl::sycl::handler &cgh) const {
  function offsetBuffer (line 132) | void offsetBuffer(typename Tensor::Index offset) {
  function prefetch (line 137) | void prefetch(Index /*i*/) { }
  function Scalar (line 140) | Scalar operator()(Index row) const {
  function Scalar (line 146) | Scalar operator()(Index row, Index col) const {
  function Index (line 151) | Index computeIndex(Index row, Index col) const {
  function Index (line 241) | Index firstAligned(Index size) const {
  function bind (line 253) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_DEVICE_FUNC (line 287) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 366) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_DEVICE_FUNC (line 383) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 392) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_STRONG_INLINE (line 398) | EIGEN_STRONG_INLINE PacketT load(Index i, Index j) const {
  type TensorContractionSubMapper (line 415) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type Self (line 416) | typedef Self LinearMapper;
  function Scalar (line 434) | Scalar operator()(Index i) const {
  function Scalar (line 440) | Scalar operator()(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 448) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i) const {
  function EIGEN_ALWAYS_INLINE (line 456) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 464) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function storePacket (line 472) | void storePacket(Index i, const PacketT& p) const {
  function LinearMapper (line 479) | LinearMapper getLinearMapper(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 487) | EIGEN_ALWAYS_INLINE PacketT load(Index i) const {
  function aligned (line 497) | bool aligned(Index) const {
  function bind (line 503) | void bind(cl::sycl::handler &cgh) const {
  type BaseTensorContractionMapper (line 529) | typedef BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontr...
  type TensorContractionSubMapper (line 530) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type SubMapper (line 531) | typedef SubMapper VectorMapper;
  function EIGEN_DEVICE_FUNC (line 533) | EIGEN_DEVICE_FUNC TensorContractionInputMapper(const Tensor& tensor,
  function SubMapper (line 541) | SubMapper getSubMapper(Index i, Index j) const {
  function VectorMapper (line 545) | VectorMapper getVectorMapper(Index i, Index j) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h
  function namespace (line 22) | namespace Eigen {
  type Eigen (line 1290) | typedef Eigen::SyclDevice Device;
  type TensorEvaluator (line 1292) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1293) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1294) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1295) | typedef typename internal::remove_const<typename
  type typename (line 1296) | typedef typename XprType::Index StorageIndex;
  type typename (line 1297) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1298) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 1299) | typedef typename Base::Storage Storage;
  type typename (line 1300) | typedef typename Base::EvaluatorPointerType EvaluatorPointerType;
  type TripleDim (line 1301) | struct TripleDim {
  function EIGEN_STRONG_INLINE (line 1346) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(typename Base::EvaluatorPo...
  function evalToSycl (line 1358) | void evalToSycl(typename Base::EvaluatorPointerType buffer) const {
  function triple_dim (line 1392) | const auto triple_dim = TripleDim{this->m_i_size, this->m_j_size, this->...
  function EIGEN_ALWAYS_INLINE (line 1448) | EIGEN_ALWAYS_INLINE adjustTT(EvaluatorPointerType buffer, const LhsMappe...
  type TensorSycl (line 1501) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type TensorSycl (line 1508) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type Eigen (line 1520) | typedef Eigen::internal::SumReducer<CoeffReturnType> Op;
  type TensorSycl (line 1522) | typedef TensorSycl::internal::SecondStepPartialReduction<CoeffReturnType...
  function EIGEN_ALWAYS_INLINE (line 1539) | EIGEN_ALWAYS_INLINE LaunchVT(EvaluatorPointerType buffer, const VectorMa...
  function launchSC (line 1594) | void launchSC(EvaluatorPointerType buffer, const LhsMapper &lhs, const R...
  function EIGEN_STRONG_INLINE (line 1633) | EIGEN_STRONG_INLINE void cleanup() {
  function bind (line 1643) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
  function namespace (line 16) | namespace Eigen {
  type NoCallback (line 296) | struct NoCallback {
  function Notify (line 312) | void Notify() { done_.Notify(); }
  function Wait (line 313) | void Wait() { done_.Wait(); }
  function Notify (line 325) | void Notify() {
  function Wait (line 338) | void Wait() {}
  type internal (line 359) | typedef internal::TensorContractionInputMapper<
  type internal (line 365) | typedef internal::blas_data_mapper<Scalar, Index, ColMajor> OutputMapper;
  type internal (line 367) | typedef internal::TensorContractionKernel<
  type typename (line 371) | typedef typename TensorContractionKernel::LhsBlock LhsBlock;
  type typename (line 372) | typedef typename TensorContractionKernel::RhsBlock RhsBlock;
  type typename (line 373) | typedef typename TensorContractionKernel::BlockMemHandle BlockMemHandle;
  function Release (line 667) | void Release(EvalParallelContext& ctx) const {
  function BlockMemHandle (line 685) | BlockMemHandle mem_handle_{}
  function reuse (line 744) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function reuse (line 765) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function pack_lhs (line 854) | void pack_lhs(Index m, Index k) {
  function pack_rhs (line 888) | void pack_rhs(Index n, Index k) {
  function kernel (line 935) | void kernel(Index m, Index n, Index k, bool use_thread_local) {
  function signal_packing (line 985) | void signal_packing(Index k) {
  function signal_kernel (line 994) | void signal_kernel(Index m, Index n, Index k, bool sync,
  function enqueue_packing (line 1049) | void enqueue_packing(Index k, bool rhs) {
  function enqueue_packing_helper (line 1053) | void enqueue_packing_helper(Index start, Index end, Index k, bool rhs) {
  function Index (line 1090) | Index bm(Index m) const { return m + 1 < nm0_ ? bm_ : m_ + bm_ - bm_ * n...
  function Index (line 1091) | Index bn(Index n) const { return n + 1 < nn0_ ? bn_ : n_ + bn_ - bn_ * n...
  function Index (line 1092) | Index bk(Index k) const { return k + 1 < nk_ ? bk_ : k_ + bk_ - bk_ * nk...
  function Index (line 1094) | Index gm(Index m) const { return m + 1 < nm_ ? gm_ : nm0_ + gm_ - gm_ * ...
  function Index (line 1095) | Index gn(Index n) const { return n + 1 < nn_ ? gn_ : nn0_ + gn_ - gn_ * ...
  function applyOutputKernel (line 1292) | void applyOutputKernel() const {
  function Index (line 1307) | Index actualRangeSize(Index num_ranges, Index range_size,
  function addToBuffer (line 1316) | static void addToBuffer(size_t n, const Scalar* src_buf,
  function addAllToBuffer (line 1337) | static void addAllToBuffer(size_t n,

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h
  function namespace (line 13) | namespace Eigen {
  function m_impl (line 60) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 63) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 76) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 79) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 96) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 99) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 118) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 121) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  type typename (line 180) | typedef typename internal::traits<TensorConversionOp>::StorageKind Stora...
  type typename (line 181) | typedef typename internal::traits<TensorConversionOp>::Index Index;
  type typename (line 182) | typedef typename internal::nested<TensorConversionOp>::type Nested;
  type Scalar (line 183) | typedef Scalar CoeffReturnType;
  type typename (line 184) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_xpr (line 186) | TensorConversionOp(const XprType& xpr)
  function namespace (line 229) | namespace internal {
  type typename (line 250) | typedef typename internal::unpacket_traits<SrcPacket>::type SrcType;
  type typename (line 251) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 256) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 271) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 274) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 289) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 299) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 311) | typedef typename XprType::Index Index;
  type typename (line 312) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type TargetType (line 313) | typedef TargetType Scalar;
  type TargetType (line 314) | typedef TargetType CoeffReturnType;
  type typename (line 315) | typedef typename internal::remove_all<typename
  type typename (line 316) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 317) | typedef typename PacketType<SrcType, Device>::type PacketSourceType;
  type StorageMemory (line 320) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 321) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 341) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 342) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 344) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type TensorConversionOpBlockFactory (line 347) | struct TensorConversionOpBlockFactory {
  type internal (line 359) | typedef internal::TensorUnaryExprBlock<TensorConversionOpBlockFactory,
  function EIGEN_STRONG_INLINE (line 364) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 371) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data)
  function evalSubExprsIfNeededAsync (line 378) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 386) | EIGEN_STRONG_INLINE void cleanup()
  function CoeffReturnType (line 391) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 397) | EIGEN_STRONG_INLINE PacketReturnType
  function TensorOpCost (line 412) | TensorOpCost
  function bind (line 445) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 262) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Scalar Sc...
  type typename (line 263) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 264) | typedef typename internal::promote_storage_type<typename
  type typename (line 266) | typedef typename Eigen::internal::nested<TensorConvolutionOp>::type Nested;
  type typename (line 267) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::StorageKi...
  type typename (line 268) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Index Index;
  type typename (line 299) | typedef typename XprType::Index Index;
  type DSizes (line 300) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 302) | typedef typename XprType::Scalar Scalar;
  type typename (line 303) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 304) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 306) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 307) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 320) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 387) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
  function EIGEN_STRONG_INLINE (line 392) | EIGEN_STRONG_INLINE void cleanup() {
  function evalTo (line 401) | void evalTo(typename XprType::Scalar* buffer) {
  function CoeffReturnType (line 409) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 417) | PacketReturnType packet(const Index index) const
  function TensorOpCost (line 461) | TensorOpCost
  function const (line 568) | int operator() (const int /*kernelSize*/) const {
  function Dynamic (line 573) | struct GetKernelSize<Dynamic> {
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 581) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel1D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 633) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel2D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 704) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel3D(
  type typename (line 782) | typedef typename XprType::Index Index;
  type DSizes (line 783) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 784) | typedef typename TensorEvaluator<KernelArgType, GpuDevice>::Dimensions K...
  type internal (line 797) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 818) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 819) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 820) | typedef typename InputArgType::Scalar Scalar;
  function EIGEN_STRONG_INLINE (line 825) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
  function EIGEN_STRONG_INLINE (line 838) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_STRONG_INLINE (line 851) | EIGEN_STRONG_INLINE void preloadKernel() {
  function ceil (line 871) | static unsigned int ceil(unsigned int num, unsigned int denom) {
  function executeEval (line 879) | void executeEval(Scalar* data) const {
  function CoeffReturnType (line 1078) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 1086) | EIGEN_STRONG_INLINE PacketReturnType packet(const Index index) const
  function TensorOpCost (line 1093) | TensorOpCost

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolutionSycl.h
  function namespace (line 18) | namespace Eigen {
  function num_input (line 132) | const auto num_input = cl::sycl::range<2>{
  function input_offset (line 221) | const auto input_offset = cl::sycl::range<3>{itemID.get_group().get_id()...
  type TensorConvolutionOp (line 276) | typedef TensorConvolutionOp<Indices, InputArgType, KernelArgType> XprType;
  type typename (line 281) | typedef typename XprType::Index Index;
  type DSizes (line 282) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 283) | typedef typename TensorEvaluator<KernelArgType, Eigen::SyclDevice>::Dime...
  type Eigen (line 284) | typedef const Eigen::SyclDevice Device;
  type typename (line 285) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 286) | typedef typename PacketType<CoeffReturnType, Eigen::SyclDevice>::type Pa...
  type typename (line 287) | typedef typename InputArgType::Scalar Scalar;
  type StorageMemory (line 289) | typedef StorageMemory<CoeffReturnType, Eigen::SyclDevice> Storage;
  type typename (line 290) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 291) | typedef StorageMemory<const CoeffReturnType, Eigen::SyclDevice> KernelSt...
  type internal (line 305) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 337) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 351) | EIGEN_STRONG_INLINE void cleanup() {
  function preloadKernel (line 368) | void preloadKernel() {
  function executeEval (line 387) | void executeEval(EvaluatorPointerType data) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
  function namespace (line 13) | namespace Eigen {
  function numThreads (line 174) | int numThreads(
  function taskSize (line 187) | double taskSize(
  function totalCost (line 192) | double totalCost(

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCustomOp.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 57) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 58) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 59) | typedef typename internal::nested<TensorCustomUnaryOp>::type Nested;
  type typename (line 60) | typedef typename internal::traits<TensorCustomUnaryOp>::StorageKind Stor...
  type typename (line 61) | typedef typename internal::traits<TensorCustomUnaryOp>::Index Index;
  type typename (line 84) | typedef typename internal::traits<ArgType>::Index Index;
  type DSizes (line 86) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 87) | typedef typename internal::remove_const<typename
  type typename (line 88) | typedef typename internal::remove_const<typename
  type typename (line 89) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 91) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 92) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 93) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 106) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 117) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 129) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 136) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 141) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 145) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 154) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 180) | namespace internal {
  type TensorCustomBinaryOp (line 205) | typedef const TensorCustomBinaryOp<CustomBinaryFunc, LhsXprType, RhsXprT...
  type typename (line 222) | typedef typename internal::traits<TensorCustomBinaryOp>::Scalar Scalar;
  type typename (line 223) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 224) | typedef typename internal::traits<TensorCustomBinaryOp>::CoeffReturnType...
  type typename (line 225) | typedef typename internal::nested<TensorCustomBinaryOp>::type Nested;
  type typename (line 226) | typedef typename internal::traits<TensorCustomBinaryOp>::StorageKind Sto...
  type typename (line 227) | typedef typename internal::traits<TensorCustomBinaryOp>::Index Index;
  type typename (line 256) | typedef typename internal::traits<XprType>::Index Index;
  type DSizes (line 258) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 259) | typedef typename XprType::Scalar Scalar;
  type typename (line 260) | typedef typename internal::remove_const<typename
  type typename (line 261) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 264) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 265) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 266) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 279) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 290) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 302) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 309) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 314) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 318) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 327) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceDefault.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
  function namespace (line 18) | namespace Eigen {
  function gpuDeviceProp_t (line 160) | const gpuDeviceProp_t& deviceProperties() const {
  function virtual (line 173) | virtual void deallocate(void* buffer) const {
  function virtual (line 182) | virtual void* scratchpad() const {
  function max_blocks_ (line 207) | struct GpuDevice {
  function EIGEN_STRONG_INLINE (line 221) | EIGEN_STRONG_INLINE void* allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 225) | EIGEN_STRONG_INLINE void deallocate(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 229) | EIGEN_STRONG_INLINE void* allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 233) | EIGEN_STRONG_INLINE void deallocate_temp(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 238) | EIGEN_STRONG_INLINE Type get(Type data) const {
  function EIGEN_STRONG_INLINE (line 242) | EIGEN_STRONG_INLINE void* scratchpad() const {
  function memcpy (line 250) | void memcpy(void* dst, const void* src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 264) | EIGEN_STRONG_INLINE void memcpyHostToDevice(void* dst, const void* src, ...
  function EIGEN_STRONG_INLINE (line 271) | EIGEN_STRONG_INLINE void memcpyDeviceToHost(void* dst, const void* src, ...
  function memset (line 278) | void memset(void* buffer, int c, size_t n) const {
  function fill (line 292) | void fill(T* begin, T* end, const T& value) const {
  function EIGEN_DEVICE_FUNC (line 412) | static EIGEN_DEVICE_FUNC inline void setGpuSharedMemConfig(gpuSharedMemC...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
  function namespace (line 19) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 468) | EIGEN_STRONG_INLINE ptrdiff_t get_offset(const void *ptr) const {
  type cl (line 486) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 514) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 540) | typedef cl::sycl::accessor<OutScalar, 1,
  function EIGEN_STRONG_INLINE (line 567) | EIGEN_STRONG_INLINE void async_synchronize(cl::sycl::event e) const {
  function parallel_for_setup (line 575) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 595) | void parallel_for_setup(
  function parallel_for_setup (line 634) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 745) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t wGSize, bool roundUp) co...
  function synchronize_and_callback (line 797) | void synchronize_and_callback(cl::sycl::event e,
  function sycl_async_handler (line 819) | bool sycl_async_handler(cl::sycl::exception_list exceptions) const {
  type SyclDeviceBase (line 861) | struct SyclDeviceBase {
  function SyclDeviceBase (line 874) | struct SyclDevice : public SyclDeviceBase {
  function parallel_for_setup (line 902) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 910) | void parallel_for_setup(
  function parallel_for_setup (line 919) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 926) | EIGEN_STRONG_INLINE void *allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 930) | EIGEN_STRONG_INLINE void *allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 935) | EIGEN_STRONG_INLINE void deallocate(void *p) const {
  function EIGEN_STRONG_INLINE (line 939) | EIGEN_STRONG_INLINE void deallocate_temp(void *buffer) const {
  function deallocate_temp (line 943) | void deallocate_temp(
  function memcpy (line 997) | void memcpy(void *dst, const Index *src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 1001) | EIGEN_STRONG_INLINE void memset(void *data, int c, size_t n) const {
  function fill (line 1006) | void fill(T* begin, T* end, const T& value) const {
  function EIGEN_STRONG_INLINE (line 1046) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t val, bool roundUp) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceThreadPool.h
  function namespace (line 13) | namespace Eigen {
  function parallelFor (line 195) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelFor (line 242) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 254) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 303) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function ThreadPoolInterface (line 310) | ThreadPoolInterface* getPool() const { return pool_; }
  function Allocator (line 313) | Allocator* allocator() const { return allocator_; }
  type ParallelForAsyncContext (line 320) | struct ParallelForAsyncContext {
  type ParallelForBlock (line 336) | struct ParallelForBlock {
  function ParallelForBlock (line 346) | ParallelForBlock CalculateParallelForBlock(

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h
  function Index (line 27) | const Index operator[] (const Index i) const { return i; }
  function EIGEN_DEVICE_FUNC (line 50) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 56) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 63) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 69) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 76) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 82) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 89) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 95) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 102) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 108) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 115) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 121) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 128) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 134) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 142) | bool run(const DenseIndex) {
  function run (line 148) | bool run(const DenseIndex) {
  function run (line 155) | bool run() {
  function run (line 161) | bool run() {
  function run (line 168) | bool run() {
  function run (line 174) | bool run() {
  function run (line 181) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 187) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 194) | bool run(const DenseIndex, const DenseIndex){
  function run (line 200) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 207) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 213) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 220) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 226) | bool run(const DenseIndex, const DenseIndex) {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h
  function namespace (line 14) | namespace Eigen {
  type tensor_index_linearization_helper (line 249) | struct tensor_index_linearization_helper
  function Index (line 252) | Index run(array<Index, NumIndices> const& indices, array<Index, NumIndic...
  function EIGEN_DEVICE_FUNC (line 275) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DSizes() {
  function EIGEN_DEVICE_FUNC (line 280) | EIGEN_DEVICE_FUNC explicit DSizes(const array<DenseIndex, NumDims>& a) :...
  function EIGEN_DEVICE_FUNC (line 282) | EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0) {
  function EIGEN_DEVICE_FUNC (line 287) | EIGEN_DEVICE_FUNC DSizes(const DimensionList<DenseIndex, NumDims>& a) {
  function DSizes (line 330) | ptrdiff_t V5>
  function EIGEN_STRONG_INLINE (line 340) | EIGEN_STRONG_INLINE explicit DSizes(DenseIndex firstDimension, DenseInde...
  type tensor_vsize_index_linearization_helper (line 413) | struct tensor_vsize_index_linearization_helper
  function Index (line 416) | Index run(array<Index, NumIndices> const& indices, std::vector<DenseInde...
  function namespace (line 424) | namespace internal {
  type array_size (line 433) | struct array_size
  type array_size (line 436) | struct array_size
  function EIGEN_STRONG_INLINE (line 442) | EIGEN_STRONG_INLINE std::ptrdiff_t array_get(const Sizes<>&) {
  type array_size (line 447) | struct array_size
  type array_size (line 450) | struct array_size
  function array_get (line 453) | ptrdiff_t array_get(const Sizes<V1,V2,V3,V4,V5>&) {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 72) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 73) | typedef typename internal::remove_const<typename
  type typename (line 74) | typedef typename MakePointer_<CoeffReturnType>::Type PointerType;
  type typename (line 75) | typedef typename Eigen::internal::nested<TensorEvalToOp>::type Nested;
  type typename (line 76) | typedef typename Eigen::internal::traits<TensorEvalToOp>::StorageKind St...
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorEvalToOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 81) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvalToOp(PointerType buffer,...
  type typename (line 101) | typedef typename ArgType::Scalar Scalar;
  type typename (line 102) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 103) | typedef typename XprType::Index Index;
  type typename (line 104) | typedef typename internal::remove_const<typename
  type typename (line 105) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 107) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 108) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 109) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 123) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 124) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 126) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 129) | typedef internal::TensorBlockAssignment<
  function EIGEN_STRONG_INLINE (line 144) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType scala...
  function evalSubExprsIfNeededAsync (line 152) | void evalSubExprsIfNeededAsync(
  function evalScalar (line 160) | void evalScalar(Index i) {
  function evalPacket (line 163) | void evalPacket(Index i) {
  function evalBlock (line 172) | void evalBlock(
  function EIGEN_STRONG_INLINE (line 194) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 198) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 204) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 209) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 220) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
  function namespace (line 13) | namespace Eigen {
  function writeBlock (line 165) | void writeBlock(
  function bind (line 185) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_ALWAYS_INLINE (line 196) | EIGEN_ALWAYS_INLINE
  function loadConstant (line 203) | float loadConstant(const float* address) {
  function loadConstant (line 207) | double loadConstant(const double* address) {
  function half (line 211) | half loadConstant(const Eigen::half* address) {
  type typename (line 230) | typedef typename Derived::Scalar Scalar;
  type typename (line 231) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 232) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 233) | typedef typename Derived::Dimensions Dimensions;
  type Derived (line 234) | typedef const Derived XprType;
  type typename (line 235) | typedef typename internal::traits<Derived>::template MakePointer<const S...
  type StorageMemory (line 236) | typedef StorageMemory<const Scalar, Device> Storage;
  type typename (line 237) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 239) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 257) | typedef internal::TensorBlockDescriptor<NumCoords, Index> TensorBlockDesc;
  type internal (line 258) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 260) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumCoo...
  function EIGEN_STRONG_INLINE (line 271) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 281) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 288) | EIGEN_STRONG_INLINE void cleanup() { }
  function CoeffReturnType (line 290) | CoeffReturnType coeff(Index index) const {
  function EIGEN_STRONG_INLINE (line 295) | EIGEN_STRONG_INLINE
  function CoeffReturnType (line 313) | CoeffReturnType coeff(const array<DenseIndex, NumCoords>& coords) const {
  function TensorOpCost (line 320) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 340) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 364) | typedef typename XprType::Index Index;
  type typename (line 365) | typedef typename XprType::Scalar Scalar;
  type typename (line 366) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 367) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 369) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 370) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 371) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 388) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 393) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) { re...
  function evalSubExprsIfNeededAsync (line 397) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 403) | EIGEN_STRONG_INLINE void cleanup() { }
  function EIGEN_DEVICE_FUNC (line 405) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 411) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 416) | TensorOpCost
  function bind (line 426) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 463) | typedef typename XprType::Index Index;
  type typename (line 464) | typedef typename XprType::Scalar Scalar;
  type typename (line 465) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type typename (line 466) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 467) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 469) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 470) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 471) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 475) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 476) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 478) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 481) | typedef internal::TensorCwiseUnaryBlock<UnaryOp, ArgTensorBlock>
  function EIGEN_STRONG_INLINE (line 487) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 494) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 500) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 504) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 510) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 515) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 538) | void bind(cl::sycl::handler &cgh) const{
  type typename (line 583) | typedef typename XprType::Index Index;
  type typename (line 584) | typedef typename XprType::Scalar Scalar;
  type typename (line 585) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 586) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 588) | typedef typename TensorEvaluator<LeftArgType, Device>::Dimensions Dimens...
  type StorageMemory (line 589) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 590) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 596) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 597) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 599) | typedef typename TensorEvaluator<const LeftArgType, Device>::TensorBlock
  type typename (line 601) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  type internal (line 604) | typedef internal::TensorCwiseBinaryBlock<BinaryOp, LeftTensorBlock,
  function EIGEN_STRONG_INLINE (line 615) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 623) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 633) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 638) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 643) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 648) | TensorOpCost
  function bind (line 677) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 735) | typedef typename XprType::Index Index;
  type typename (line 736) | typedef typename XprType::Scalar Scalar;
  type typename (line 737) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 738) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 740) | typedef typename TensorEvaluator<Arg1Type, Device>::Dimensions Dimensions;
  type StorageMemory (line 741) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 742) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 745) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 754) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 760) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 766) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 771) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 778) | TensorOpCost
  function bind (line 791) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 812) | typedef typename XprType::Scalar Scalar;
  type typename (line 842) | typedef typename XprType::Index Index;
  type typename (line 843) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 844) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 846) | typedef typename TensorEvaluator<IfArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 847) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 848) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 853) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 854) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 856) | typedef typename TensorEvaluator<const IfArgType, Device>::TensorBlock
  type typename (line 858) | typedef typename TensorEvaluator<const ThenArgType, Device>::TensorBlock
  type typename (line 860) | typedef typename TensorEvaluator<const ElseArgType, Device>::TensorBlock
  type TensorSelectOpBlockFactory (line 863) | struct TensorSelectOpBlockFactory {
  type internal (line 876) | typedef internal::TensorTernaryExprBlock<TensorSelectOpBlockFactory,
  function EIGEN_STRONG_INLINE (line 888) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 897) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 907) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 913) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 918) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 931) | TensorOpCost
  function bind (line 968) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h
  function namespace (line 13) | namespace Eigen {
  function run (line 96) | void run(const Expression& expr,
  type typename (line 168) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 170) | typedef TensorEvaluator<Expression, DefaultDevice> Evaluator;
  type typename (line 171) | typedef typename traits<Expression>::Index StorageIndex;
  function run (line 176) | void run(const Expression& expr,
  function run (line 271) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 280) | static StorageIndex alignBlockSize(StorageIndex size) { return size; }
  function run (line 288) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 314) | static StorageIndex alignBlockSize(StorageIndex size) {
  type typename (line 327) | typedef typename Expression::Index StorageIndex;
  function EIGEN_STRONG_INLINE (line 329) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type typename (line 353) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 354) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 358) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 359) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 360) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 362) | typedef internal::TensorBlockDescriptor<NumDims, IndexType>
  type internal (line 364) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 367) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type TensorEvaluator (line 409) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  function EIGEN_STRONG_INLINE (line 411) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type EvalRange (line 423) | typedef EvalRange<Evaluator, StorageIndex, Vectorizable> EvalRange;
  type TensorAsyncExecutorContext (line 438) | struct TensorAsyncExecutorContext {
  type typename (line 461) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 462) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 466) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 467) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 468) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 470) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  type internal (line 471) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 474) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type TensorAsyncExecutorContext (line 519) | struct TensorAsyncExecutorContext {
  type typename (line 549) | typedef typename Expression::Index StorageIndex;
  function run (line 557) | void run(Evaluator& eval, StorageIndex firstIdx, StorageIndex lastIdx, S...
  type typename (line 625) | typedef typename Evaluator::Index Index;
  function EIGEN_ALWAYS_INLINE (line 629) | EIGEN_ALWAYS_INLINE ExecExprFunctorKernel(
  function EIGEN_STRONG_INLINE (line 669) | static EIGEN_STRONG_INLINE void run(const Expression& expr,

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 56) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 57) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type TensorCwiseNullaryOp (line 58) | typedef TensorCwiseNullaryOp<NullaryOp, XprType> Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::StorageK...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::Index In...
  function namespace (line 79) | namespace internal {
  type typename (line 121) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 122) | typedef Scalar CoeffReturnType;
  type typename (line 123) | typedef typename Eigen::internal::nested<TensorCwiseUnaryOp>::type Nested;
  type typename (line 124) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::StorageKin...
  type typename (line 125) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::Index Index;
  function namespace (line 144) | namespace internal {
  type typename (line 201) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Scalar Sc...
  type typename (line 202) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 203) | typedef Scalar CoeffReturnType;
  type typename (line 204) | typedef typename Eigen::internal::nested<TensorCwiseBinaryOp>::type Nested;
  type typename (line 205) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::StorageKi...
  type typename (line 206) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Index Index;
  function namespace (line 230) | namespace internal {
  type TensorCwiseTernaryOp (line 264) | typedef const TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, ...
  type typename (line 281) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Scalar S...
  type typename (line 282) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 283) | typedef Scalar CoeffReturnType;
  type typename (line 284) | typedef typename Eigen::internal::nested<TensorCwiseTernaryOp>::type Nes...
  type typename (line 285) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::StorageK...
  type typename (line 286) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Index In...
  function namespace (line 315) | namespace internal {
  type TensorSelectOp (line 339) | typedef const TensorSelectOp<IfXprType, ThenXprType, ElseXprType>& type;
  type typename (line 355) | typedef typename Eigen::internal::traits<TensorSelectOp>::Scalar Scalar;
  type typename (line 356) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 357) | typedef typename internal::promote_storage_type<typename
  type typename (line 359) | typedef typename Eigen::internal::nested<TensorSelectOp>::type Nested;
  type typename (line 360) | typedef typename Eigen::internal::traits<TensorSelectOp>::StorageKind St...
  type typename (line 361) | typedef typename Eigen::internal::traits<TensorSelectOp>::Index Index;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 88) | typedef typename Eigen::internal::traits<TensorFFTOp>::Scalar Scalar;
  type typename (line 89) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 90) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 91) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 92) | typedef OutputScalar CoeffReturnType;
  type typename (line 93) | typedef typename Eigen::internal::nested<TensorFFTOp>::type Nested;
  type typename (line 94) | typedef typename Eigen::internal::traits<TensorFFTOp>::StorageKind Stora...
  type typename (line 95) | typedef typename Eigen::internal::traits<TensorFFTOp>::Index Index;
  type typename (line 117) | typedef typename XprType::Index Index;
  type DSizes (line 119) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 120) | typedef typename XprType::Scalar Scalar;
  type typename (line 121) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 122) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 123) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type internal (line 124) | typedef internal::traits<XprType> XprTraits;
  type typename (line 125) | typedef typename XprTraits::Scalar InputScalar;
  type typename (line 126) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 127) | typedef OutputScalar CoeffReturnType;
  type typename (line 128) | typedef typename PacketType<OutputScalar, Device>::type PacketReturnType;
  type StorageMemory (line 130) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 131) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 144) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 172) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 184) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 192) | CoeffReturnType coeff(Index index) const {
  function EIGEN_ALWAYS_INLINE (line 197) | EIGEN_ALWAYS_INLINE PacketReturnType
  function TensorOpCost (line 202) | TensorOpCost
  function bind (line 210) | void bind(cl::sycl::handler &cgh) const {
  function evalToBuf (line 216) | void evalToBuf(EvaluatorPointerType data) {
  function isPowerOfTwo (line 320) | static bool isPowerOfTwo(Index x) {
  function Index (line 326) | static Index findGoodComposite(Index n) {
  function Index (line 332) | static Index getLog2(Index m) {
  function processDataLineCooleyTukey (line 339) | void processDataLineCooleyTukey(ComplexScalar* line_buf, Index line_len,...
  function processDataLineBluestein (line 346) | void processDataLineBluestein(ComplexScalar* line_buf, Index line_len, I...
  function scramble_FFT (line 411) | static void scramble_FFT(ComplexScalar* data, Index n) {
  function butterfly_2 (line 428) | void butterfly_2(ComplexScalar* data) {
  function butterfly_4 (line 435) | void butterfly_4(ComplexScalar* data) {
  function butterfly_8 (line 452) | void butterfly_8(ComplexScalar* data) {
  function butterfly_1D_merge (line 499) | void butterfly_1D_merge(
  function compute_1D_Butterfly (line 538) | void compute_1D_Butterfly(
  function Index (line 554) | Index getBaseOffsetFromIndex(Index index, Index omitted_dim) const {
  function Index (line 579) | Index getIndexFromOffset(Index base, Index omitted_dim, Index offset) co...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 77) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, IndexTypes... ...
  function Scalar (line 86) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 93) | const Scalar& coeff(Index index) const
  function Scalar (line 100) | const Scalar& coeff() const
  function EIGEN_STRONG_INLINE (line 140) | EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, IndexType...
  function Scalar (line 148) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 159) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 170) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 181) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 195) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 202) | const Scalar& operator()(Index index) const
  function Scalar (line 209) | const Scalar& operator()() const
  function m_storage (line 314) | TensorFixedSize(const Self& other)
  type TensorAssignOp (line 338) | typedef TensorAssignOp<TensorFixedSize, const
  function EIGEN_STRONG_INLINE (line 350) | EIGEN_STRONG_INLINE bool checkIndexRange(const array<Index, NumIndices>&...
  function Index (line 366) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 63) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 64) | typedef typename internal::remove_const<typename
  type typename (line 65) | typedef typename Eigen::internal::nested<TensorForcedEvalOp>::type Nested;
  type typename (line 66) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::StorageKin...
  type typename (line 67) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::Index Index;
  function m_xpr (line 69) | TensorForcedEvalOp(const XprType& expr)
  function namespace (line 80) | namespace internal {
  type typename (line 106) | typedef const typename internal::remove_all<ArgType_>::type ArgType;
  type TensorForcedEvalOp (line 107) | typedef TensorForcedEvalOp<ArgType> XprType;
  type typename (line 108) | typedef typename ArgType::Scalar Scalar;
  type typename (line 109) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 110) | typedef typename XprType::Index Index;
  type typename (line 111) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 112) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 114) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 115) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 116) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 130) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 131) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 133) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 145) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 165) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 185) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 190) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 213) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 222) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
  function namespace (line 13) | namespace Eigen {
  type NoOpOutputKernel (line 100) | struct NoOpOutputKernel
  type DefaultDevice (line 102) | struct DefaultDevice
  type ThreadPoolDevice (line 103) | struct ThreadPoolDevice
  type GpuDevice (line 104) | struct GpuDevice
  type SyclDevice (line 105) | struct SyclDevice
  type Eigen (line 110) | typedef Eigen::TensorSycl::internal::RangeAccess<cl::sycl::access::mode:...
  function namespace (line 124) | namespace TensorSycl {
  type FFTResultType (line 132) | enum FFTResultType {
  type FFTDirection (line 138) | enum FFTDirection {
  function namespace (line 144) | namespace internal {
  type TiledEvaluation (line 158) | enum TiledEvaluation {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
  function namespace (line 13) | namespace Eigen {
  function T (line 171) | T bottom_value() {
  function EIGEN_STRONG_INLINE (line 177) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 183) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 189) | static EIGEN_STRONG_INLINE T bottom_value() {
  function reduce (line 197) | void reduce(const T t, T* accum) const {
  function reducePacket (line 202) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 213) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 217) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 221) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 239) | void reduce(const T t, T* accum) const {
  function reducePacket (line 244) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 255) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 259) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 263) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 281) | void reduce(const T t, T* accum) const {
  function reducePacket (line 286) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 297) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 301) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 305) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  type AndReducer (line 322) | struct AndReducer
  function finalize (line 330) | bool finalize(bool accum) const {
  type OrReducer (line 346) | struct OrReducer {
  function finalize (line 353) | bool finalize(bool accum) const {
  function reduce (line 372) | void reduce(const T t, T* accum) const {
  function T (line 382) | T finalize(const T& accum) const {
  function reduce (line 400) | void reduce(const T& t, T* accum) const {
  function T (line 410) | T finalize(const T& accum) const {
  function EIGEN_DEVICE_FUNC (line 431) | EIGEN_DEVICE_FUNC GaussianGenerator(const array<T, NumDims>& means,
  function EIGEN_DEVICE_FUNC (line 441) | EIGEN_DEVICE_FUNC T operator()(const array<Index, NumDims>& coordinates)...
  function EIGEN_DEVICE_FUNC (line 468) | EIGEN_DEVICE_FUNC inline scalar_clamp_op(const Scalar& _min, const Scala...
  function Scalar (line 469) | const Scalar
  function Packet (line 474) | const Packet

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorGeneratorOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::Index Index;
  type typename (line 85) | typedef typename XprType::Index Index;
  type typename (line 86) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 88) | typedef typename XprType::Scalar Scalar;
  type typename (line 89) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 90) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 91) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 92) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 103) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 106) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 107) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 109) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 114) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 139) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 142) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 145) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 153) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type BlockIteratorState (line 175) | struct BlockIteratorState {
  function TensorOpCost (line 258) | TensorOpCost
  function bind (line 270) | void bind(cl::sycl::handler&) const {}
  function extract_coordinates (line 275) | void extract_coordinates(Index index, array<Index, NumDims>& coords) con...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
  function namespace (line 13) | namespace Eigen {
  type TensorEvaluator (line 60) | typedef TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice...
  type typename (line 61) | typedef typename Evaluator::Dimensions Dimensions;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 59) | typedef typename Self::Index Index;
  type typename (line 60) | typedef typename Self::Scalar Scalar;
  type typename (line 61) | typedef typename Self::Impl Impl;
  function Run (line 62) | void Run(
  type typename (line 74) | typedef typename Self::Index Index;
  type typename (line 75) | typedef typename Self::Scalar Scalar;
  type typename (line 76) | typedef typename Self::Impl Impl;
  type typename (line 77) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 78) | void Run(
  type typename (line 97) | typedef typename Self::Index Index;
  type typename (line 98) | typedef typename Self::Scalar Scalar;
  type typename (line 99) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 100) | void Run(
  type typename (line 123) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Scalar Sca...
  type typename (line 124) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 125) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 126) | typedef typename Eigen::internal::nested<TensorImagePatchOp>::type Nested;
  type typename (line 127) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::StorageKin...
  type typename (line 128) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Index Index;
  type typename (line 217) | typedef typename XprType::Index Index;
  type DSizes (line 220) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 221) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 222) | typedef TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>,
  type TensorEvaluator (line 224) | typedef TensorEvaluator<ArgType, Device> Impl;
  type typename (line 225) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 226) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 228) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 229) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 242) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 245) | EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& de...
  function EIGEN_STRONG_INLINE (line 392) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function evalSubExprsIfNeededAsync (line 399) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 405) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 409) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 448) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function bind (line 512) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 528) | TensorOpCost

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIndexList.h
  function namespace (line 18) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 150) | EIGEN_DEVICE_FUNC constexpr IndexTuple(const T& v, const O... o) : head(...
  type T (line 155) | typedef T Head;
  type IndexTuple (line 156) | typedef IndexTuple<O...> Other;
  function EIGEN_DEVICE_FUNC (line 161) | EIGEN_DEVICE_FUNC constexpr IndexTuple() : head() { }
  function EIGEN_DEVICE_FUNC (line 200) | EIGEN_DEVICE_FUNC static constexpr const ValType& get_val(const IndexTup...
  function set_val (line 204) | static void set_val(IndexTuple<T, O...>& val, V& new_val) {
  function ValueT (line 234) | static constexpr ValueT get(const Index i, const IndexTuple<T...>& t) {
  function set (line 239) | static void set(const Index i, IndexTuple<T...>& t, const ValueT& value) {
  function value_known_statically (line 248) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 254) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 260) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function ValueT (line 271) | static constexpr ValueT get(const Index /*i*/, const IndexTuple<T...>& t) {
  function set (line 276) | static void set(const Index i, IndexTuple<T...>& t, const ValueT value) {
  function value_known_statically (line 281) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 286) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 291) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function Index (line 301) | constexpr Index operator[] (const Index i) const {
  function Index (line 304) | constexpr Index get(const Index i) const {
  function set (line 307) | void set(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 311) | EIGEN_DEVICE_FUNC constexpr IndexList(const internal::IndexTuple<FirstTy...
  function EIGEN_DEVICE_FUNC (line 318) | EIGEN_DEVICE_FUNC constexpr bool all_values_known_statically() const {
  function IndexPair (line 347) | constexpr IndexPair<Index> operator[] (const Index i) const {
  function set (line 350) | void set(const Index i, const IndexPair<Index> value) {
  function EIGEN_DEVICE_FUNC (line 354) | EIGEN_DEVICE_FUNC  constexpr IndexPairList(const internal::IndexTuple<Fi...
  function EIGEN_DEVICE_FUNC (line 355) | EIGEN_DEVICE_FUNC  constexpr IndexPairList() : internal::IndexTuple<Firs...
  function Index (line 388) | constexpr Index array_get(IndexList<FirstType, OtherTypes...>& a) {
  function Index (line 391) | constexpr Index array_get(const IndexList<FirstType, OtherTypes...>& a) {
  function EIGEN_DEVICE_FUNC (line 397) | EIGEN_DEVICE_FUNC static constexpr bool run(const Index) {
  function run (line 404) | static constexpr bool run(const Index i) {
  function run (line 411) | static constexpr bool run(const Index i) {
  function run (line 419) | static constexpr bool run() {
  function run (line 426) | static constexpr bool run() {
  function run (line 433) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 441) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 448) | static constexpr bool run() {
  function run (line 455) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 463) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 470) | static constexpr bool run(const Index i, const Index value) {
  function run (line 478) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 487) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 494) | static constexpr bool run(const Index i, const Index value) {
  function run (line 502) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 511) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 518) | static constexpr bool run(const Index i, const Index value) {
  function run (line 526) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 536) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 543) | static constexpr bool run(const Index i, const Index value) {
  function run (line 551) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 561) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 568) | static constexpr bool run(const Index i, const Index value) {
  function run (line 576) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 586) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 593) | static constexpr bool run(const Index i, const Index value) {
  function run (line 601) | static constexpr bool run(const Index i, const Index value) {
  function namespace (line 613) | namespace Eigen {
  function namespace (line 687) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInflation.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 56) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 57) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 58) | typedef typename Eigen::internal::nested<TensorInflationOp>::type Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorInflationOp>::StorageKind...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorInflationOp>::Index Index;
  type typename (line 82) | typedef typename XprType::Index Index;
  type DSizes (line 84) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 85) | typedef typename XprType::Scalar Scalar;
  type typename (line 86) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 87) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 89) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 90) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 103) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 106) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 140) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 144) | EIGEN_STRONG_INLINE void cleanup() {
  function getInputIndex (line 150) | bool getInputIndex(Index index, Index* inputIndex) const
  function CoeffReturnType (line 187) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 200) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 214) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInitializer.h
  type std (line 28) | typedef std::initializer_list<
  function run (line 31) | static void run(TensorEvaluator<Derived, DefaultDevice>& tensor,

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIntDiv.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorLayoutSwap.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 73) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Scalar Sca...
  type typename (line 74) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 75) | typedef typename internal::remove_const<typename
  type typename (line 76) | typedef typename Eigen::internal::nested<TensorLayoutSwapOp>::type Nested;
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::StorageKin...
  type typename (line 78) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Index Index;
  function m_xpr (line 80) | TensorLayoutSwapOp(const XprType& expr)
  type typename (line 98) | typedef typename XprType::Index Index;
  type DSizes (line 100) | typedef DSizes<Index, NumDims> Dimensions;
  type internal (line 113) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 116) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function bind (line 126) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 131) | typedef typename XprType::Scalar Scalar;
  type typename (line 132) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 133) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 134) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 135) | typedef typename Storage::Type EvaluatorPointerType;
  function EIGEN_STRONG_INLINE (line 139) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 142) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 146) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 152) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 157) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorLayoutSwapOp (line 179) | typedef TensorLayoutSwapOp<ArgType> XprType;
  type internal (line 191) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 194) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 198) | typedef typename XprType::Index Index;
  type typename (line 199) | typedef typename XprType::Scalar Scalar;
  type typename (line 200) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 201) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 208) | void writePacket(Index index, const PacketReturnType& x)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h
  type max_n_1 (line 43) | struct max_n_1
  type typename (line 51) | typedef typename internal::packet_traits<Scalar>::type type;
  type ulonglong2 (line 57) | typedef ulonglong2 Packet4h2;
  type PacketType (line 59) | struct PacketType
  type Packet4h2 (line 60) | typedef Packet4h2 type;
  function namespace (line 91) | namespace TensorSycl {
  type OutScalar (line 122) | typedef OutScalar PacketReturnType;
  type typename (line 128) | typedef typename Eigen::PacketType<OutScalar, Device>::type PacketReturn...
  function Index (line 131) | Index roundUp(Index x, Index y) {
  type PacketType (line 139) | struct PacketType
  type half (line 140) | typedef half type;
  type Scalar (line 159) | typedef Scalar type;
  type Scalar (line 160) | typedef Scalar half;
  type PacketType (line 205) | struct PacketType
  type PacketType (line 206) | struct PacketType
  type U (line 216) | typedef U first_type;
  type V (line 217) | typedef V second_type;
  function EIGEN_STRONG_INLINE (line 219) | EIGEN_STRONG_INLINE

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename internal::remove_const<typename
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorReshapingOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorReshapingOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Index Index;
  type NewDimensions (line 87) | typedef NewDimensions Dimensions;
  type typename (line 89) | typedef typename XprType::Index Index;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 93) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 94) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 95) | typedef StorageMemory<typename
  type ReshapingKind (line 100) | enum ReshapingKind {
  type typename (line 133) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 136) | typedef internal::TensorBlockDescriptor<NumOutputDims, Index> TensorBloc...
  type internal (line 137) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 139) | typedef
  function EIGEN_STRONG_INLINE (line 145) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function evalSubExprsIfNeededAsync (line 157) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 163) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 166) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 170) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 176) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 181) | TensorOpCost costPerCoeff(bool vectorized) const {
  type BlockIteratorState (line 192) | struct BlockIteratorState {
  function bind (line 228) | void bind(cl::sycl::handler &cgh) const {
  type TensorReshapingOp (line 245) | typedef TensorReshapingOp<NewDimensions, ArgType> XprType;
  type NewDimensions (line 246) | typedef NewDimensions Dimensions;
  function EIGEN_STRONG_INLINE (line 258) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 262) | typedef typename XprType::Index Index;
  type typename (line 263) | typedef typename XprType::Scalar Scalar;
  type typename (line 264) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 265) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 268) | typedef internal::TensorBlockDescriptor<TensorEvaluator::NumOutputDims, ...
  function writePacket (line 278) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 284) | void writeBlock(
  function namespace (line 309) | namespace internal {
  type TensorSlicingOp (line 327) | typedef const TensorSlicingOp<StartIndices, Sizes, XprType>EIGEN_DEVICE_...
  type typename (line 345) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Scalar Scalar;
  type typename (line 346) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 347) | typedef typename Eigen::internal::nested<TensorSlicingOp>::type Nested;
  type typename (line 348) | typedef typename Eigen::internal::traits<TensorSlicingOp>::StorageKind S...
  type typename (line 349) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 375) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const Device& device) : thresh...
  function EIGEN_DEVICE_FUNC (line 376) | EIGEN_DEVICE_FUNC bool operator ()(Index total, Index contiguous) const {
  function EIGEN_DEVICE_FUNC (line 398) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const SyclDevice&) { }
  function EIGEN_DEVICE_FUNC (line 399) | EIGEN_DEVICE_FUNC bool operator ()(Index, Index contiguous) const { retu...
  type typename (line 412) | typedef typename XprType::Index Index;
  type typename (line 413) | typedef typename XprType::Scalar Scalar;
  type typename (line 414) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 415) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 416) | typedef Sizes Dimensions;
  type StorageMemory (line 417) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type StorageMemory (line 418) | typedef StorageMemory<typename
  type typename (line 419) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 435) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 438) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 439) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 442) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  function EIGEN_STRONG_INLINE (line 493) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 529) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 535) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 539) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 549) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 603) | TensorOpCost costPerCoeff(bool vectorized) const {
  function typename (line 624) | typename Storage::Type data() const {
  function bind (line 661) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 667) | Index srcCoeff(Index index) const
  type TensorSlicingOp (line 707) | typedef TensorSlicingOp<StartIndices, Sizes, ArgType> XprType;
  type typename (line 710) | typedef typename XprType::Index Index;
  type typename (line 711) | typedef typename XprType::Scalar Scalar;
  type typename (line 712) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 713) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 714) | typedef Sizes Dimensions;
  type typename (line 726) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 729) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 730) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  function EIGEN_STRONG_INLINE (line 733) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function writePacket (line 747) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 798) | void writeBlock(
  function namespace (line 805) | namespace internal {
  type TensorStridingSlicingOp (line 823) | typedef const TensorStridingSlicingOp<StartIndices, StopIndices, Strides...
  type typename (line 840) | typedef typename internal::traits<TensorStridingSlicingOp>::Scalar Scalar;
  type typename (line 841) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 842) | typedef typename internal::nested<TensorStridingSlicingOp>::type Nested;
  type typename (line 843) | typedef typename internal::traits<TensorStridingSlicingOp>::StorageKind ...
  type typename (line 844) | typedef typename internal::traits<TensorStridingSlicingOp>::Index Index;
  type typename (line 878) | typedef typename XprType::Index Index;
  type typename (line 879) | typedef typename XprType::Scalar Scalar;
  type typename (line 880) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 881) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 882) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 883) | typedef typename Storage::Type EvaluatorPointerType;
  type Strides (line 884) | typedef Strides Dimensions;
  type internal (line 898) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 925) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  function EIGEN_STRONG_INLINE (line 983) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 988) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 992) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 1001) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 1010) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 1015) | Index srcCoeff(Index index) const
  function Index (line 1036) | Index clamp(Index value, Index min, Index max) {
  type TensorStridingSlicingOp (line 1062) | typedef TensorStridingSlicingOp<StartIndices, StopIndices, Strides, ArgT...
  type internal (line 1076) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 1079) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 1083) | typedef typename XprType::Index Index;
  type typename (line 1084) | typedef typename XprType::Scalar Scalar;
  type typename (line 1085) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1086) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Strides (line 1087) | typedef Strides Dimensions;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorPaddingOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorPaddingOp>::StorageKind S...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorPaddingOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 90) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 91) | typedef typename XprType::Scalar Scalar;
  type typename (line 92) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 93) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 95) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 96) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 108) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 111) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 112) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 114) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 154) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 161) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 167) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 171) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 208) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 216) | TensorOpCost costPerCoeff(bool vectorized) const {
  type internal (line 355) | typedef internal::StridedLinearBufferCopy<ScalarNoConst, Index> LinCopy;
  function bind (line 488) | void bind(cl::sycl::handler &cgh) const {
  type BlockIteratorState (line 494) | struct BlockIteratorState {
  function PacketReturnType (line 681) | PacketReturnType packetWithPossibleZero(Index index) const

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorPatchOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorPatchOp>::StorageKind Sto...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorPatchOp>::Index Index;
  type typename (line 85) | typedef typename XprType::Index Index;
  type DSizes (line 87) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 88) | typedef typename XprType::Scalar Scalar;
  type typename (line 89) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 90) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 92) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 93) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 107) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 110) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 155) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 160) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 164) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 262) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 208) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 267) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 280) | EIGEN_STRONG_INLINE

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
  function namespace (line 25) | namespace Eigen {
  function run (line 71) | static void run(const InputDims& input_dims,
  function Sizes (line 89) | struct DimInitializer<Sizes<> > {
  function reduce (line 144) | void reduce(const Self& self, typename Self::Index firstIndex, Op& reduc...
  function EIGEN_STRONG_INLINE (line 154) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 163) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index i...
  function typename (line 172) | typename Self::CoeffReturnType reduce(const Self& self, typename Self::I...
  function reduce (line 277) | void reduce(const Self&, typename Self::Index, Op&, typename Self::Packe...
  function EIGEN_STRONG_INLINE (line 295) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 304) | EIGEN_STRONG_INLINE void reduce(const Self&, typename Self::Index, Op&, ...
  function EIGEN_DEVICE_FUNC (line 314) | static EIGEN_DEVICE_FUNC void run(const Self& self, Op& reducer, const D...
  function run (line 326) | void run(const Self& self, typename Self::Index firstIndex,
  function run (line 342) | static void run(const Self& self, Op& reducer, const ThreadPoolDevice& d...
  function EIGEN_DEVICE_FUNC (line 398) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 409) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 421) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  type typename (line 461) | typedef typename remove_const<decltype(std::declval<Op>().initialize())>...
  type typename (line 463) | typedef typename remove_const<CoeffReturnType>::type type;
  type typename (line 473) | typedef typename Eigen::internal::traits<TensorReductionOp>::Scalar Scalar;
  type typename (line 474) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 475) | typedef typename internal::remove_const<typename
  type typename (line 476) | typedef typename Eigen::internal::nested<TensorReductionOp>::type Nested;
  type typename (line 477) | typedef typename Eigen::internal::traits<TensorReductionOp>::StorageKind...
  type typename (line 478) | typedef typename Eigen::internal::traits<TensorReductionOp>::Index Index;
  type Dims (line 508) | typedef Dims ReducedDims;
  type TensorReductionOp (line 509) | typedef TensorReductionOp<Op, Dims, ArgType, MakePointer_> XprType;
  type typename (line 510) | typedef typename XprType::Index Index;
  type ArgType (line 511) | typedef ArgType ChildType;
  type typename (line 512) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 517) | typedef typename XprType::Scalar Scalar;
  type TensorReductionEvaluatorBase (line 518) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  type typename (line 520) | typedef typename internal::ReductionReturnType<Op, typename
  type typename (line 521) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 524) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 525) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 526) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 542) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 545) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 633) | EIGEN_STRONG_INLINE
  function evalSubExprsIfNeededAsync (line 742) | void
  function EIGEN_STRONG_INLINE (line 751) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 757) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 765) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 785) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 828) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 844) | void bind(cl::sycl::handler &cgh) const {
  type internal (line 851) | struct internal
  type internal (line 852) | struct internal
  type internal (line 853) | struct internal
  type internal (line 854) | struct internal
  type internal (line 856) | struct internal
  type internal (line 873) | struct internal
  type internal (line 877) | struct internal
  type BlockIteratorState (line 879) | struct BlockIteratorState {
  function Index (line 887) | Index firstInput(Index index) const {
  function EIGEN_STRONG_INLINE (line 973) | EIGEN_STRONG_INLINE TensorEvaluator(const typename Base::XprType& op, co...
  type TensorReductionEvaluatorBase (line 981) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  function EIGEN_STRONG_INLINE (line 982) | EIGEN_STRONG_INLINE TensorEvaluator(const typename Base::XprType& op, co...
  function typename (line 985) | typename Base::CoeffReturnType coeff(typename Base::Index index) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h
  function namespace (line 30) | namespace Eigen {
  type typename (line 120) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 121) | typedef OpDefiner<OpType, typename
  type typename (line 125) | typedef typename OpDef::type Op;
  type typename (line 126) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 127) | typedef typename Evaluator::PacketReturnType PacketReturnType;
  type typename (line 128) | typedef
  type cl (line 131) | typedef cl::sycl::accessor<OutType, 1, cl::sycl::access::mode::read_writ...
  type typename (line 217) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 218) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 219) | typedef OpDefiner<OpType, CoeffReturnType, Index, false> OpDef;
  type typename (line 220) | typedef typename OpDef::type Op;
  function reduction_dim (line 250) | enum class reduction_dim { inner_most, outer_most };
  type typename (line 363) | typedef typename OpDef::type Op;
  type cl (line 364) | typedef cl::sycl::accessor<OutScalar, 1, cl::sycl::access::mode::read_wr...
  type SecondStepPartialReduction (line 455) | typedef SecondStepPartialReduction<CoeffReturnType, Index, EvaluatorPoin...
  function namespace (line 475) | namespace internal {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 106) | typedef typename Base::Scalar Scalar;
  function virtual (line 110) | virtual ~TensorLazyEvaluator() {
  type typename (line 128) | typedef typename PlainObjectType::Base Base;
  type typename (line 129) | typedef typename Eigen::internal::nested<Self>::type Nested;
  type typename (line 130) | typedef typename internal::traits<PlainObjectType>::StorageKind StorageK...
  type typename (line 131) | typedef typename internal::traits<PlainObjectType>::Index Index;
  type typename (line 132) | typedef typename internal::traits<PlainObjectType>::Scalar Scalar;
  type typename (line 133) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 134) | typedef typename Base::CoeffReturnType CoeffReturnType;
  type Scalar (line 135) | typedef Scalar* PointerType;
  type PointerType (line 136) | typedef PointerType PointerArgType;
  type typename (line 139) | typedef typename PlainObjectType::Dimensions Dimensions;
  type internal (line 152) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function m_evaluator (line 159) | TensorRef(const Expression& expr) : m_evaluator(new internal::TensorLazy...
  function m_evaluator (line 175) | TensorRef(const TensorRef& other) : m_evaluator(other.m_evaluator) {
  function Index (line 193) | Index dimension(Index n) const { return m_evaluator->dimensions()[n]; }
  function Scalar (line 199) | const Scalar* data() const { return m_evaluator->data(); }
  function Scalar (line 202) | const Scalar operator()(Index index) const
  function Scalar (line 209) | const Scalar operator()(Index firstIndex, IndexTypes... otherIndices) const
  function Scalar (line 225) | const Scalar operator()(Index i0, Index i1) const
  function Scalar (line 233) | const Scalar operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 242) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 252) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3, Index i4...
  function Scalar (line 303) | const Scalar coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 340) | const Scalar coeff(Index index) const
  type typename (line 369) | typedef typename Derived::Index Index;
  type typename (line 370) | typedef typename Derived::Scalar Scalar;
  type typename (line 371) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 372) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 373) | typedef typename Derived::Dimensions Dimensions;
  type StorageMemory (line 374) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 375) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 388) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 391) | EIGEN_STRONG_INLINE TensorEvaluator(const TensorRef<Derived>& m, const D...
  function EIGEN_STRONG_INLINE (line 397) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 401) | EIGEN_STRONG_INLINE void cleanup() { }
  function CoeffReturnType (line 403) | CoeffReturnType coeff(Index index) const {
  function EIGEN_DEVICE_FUNC (line 411) | EIGEN_DEVICE_FUNC const Scalar* data() const { return m_ref.data(); }
  type typename (line 422) | typedef typename Derived::Index Index;
  type typename (line 423) | typedef typename Derived::Scalar Scalar;
  type typename (line 424) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 425) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 426) | typedef typename Derived::Dimensions Dimensions;
  type TensorEvaluator (line 428) | typedef TensorEvaluator<const TensorRef<Derived>, Device> Base;
  type internal (line 439) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 442) | EIGEN_STRONG_INLINE TensorEvaluator(TensorRef<Derived>& m, const Device&...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorReverseOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorReverseOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorReverseOp>::StorageKind
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorReverseOp>::Index Index;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 110) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 113) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 114) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 116) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 119) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 152) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 159) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 165) | EIGEN_STRONG_INLINE void cleanup() {
  function Index (line 169) | Index reverseIndex(
  function CoeffReturnType (line 207) | CoeffReturnType coeff(
  function EIGEN_STRONG_INLINE (line 213) | EIGEN_STRONG_INLINE
  function TensorOpCost (line 355) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorReverseOp (line 414) | typedef TensorReverseOp<ReverseDimensions, ArgType> XprType;
  type typename (line 415) | typedef typename XprType::Index Index;
  type DSizes (line 417) | typedef DSizes<Index, NumDims> Dimensions;
  function EIGEN_STRONG_INLINE (line 428) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 431) | typedef typename XprType::Scalar Scalar;
  type typename (line 432) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 433) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 437) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function writePacket (line 448) | void writePacket(Index index, const PacketReturnType& x) {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScan.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 54) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 55) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 56) | typedef typename Eigen::internal::nested<TensorScanOp>::type Nested;
  type typename (line 57) | typedef typename Eigen::internal::traits<TensorScanOp>::StorageKind Stor...
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorScanOp>::Index Index;
  function namespace (line 81) | namespace internal {
  function EIGEN_STRONG_INLINE (line 211) | EIGEN_STRONG_INLINE Index AdjustBlockSize(Index item_size, Index block_s...
  function ScanKernel (line 337) | void ScanKernel(Self self, Index total_size, typename Self::CoeffReturnT...
  type typename (line 379) | typedef typename XprType::Index Index;
  type ArgType (line 380) | typedef const ArgType ChildTypeNoConst;
  type ArgType (line 381) | typedef const ArgType ChildType;
  type DSizes (line 383) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 384) | typedef typename internal::remove_const<typename
  type typename (line 385) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 386) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type TensorEvaluator (line 387) | typedef TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> Self;
  type StorageMemory (line 388) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 389) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 402) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 467) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function PacketReturnType (line 482) | PacketReturnType packet(Index index) const {
  function CoeffReturnType (line 491) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 496) | TensorOpCost costPerCoeff(bool) const {
  function EIGEN_STRONG_INLINE (line 500) | EIGEN_STRONG_INLINE void cleanup() {
  function bind (line 510) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScanSycl.h
  function namespace (line 40) | namespace Eigen {
  function namespace (line 467) | namespace internal {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorShufflingOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorShufflingOp>::StorageKind...
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Index Index;
  type TensorShufflingOp (line 89) | typedef TensorShufflingOp<Shuffle, ArgType> XprType;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 110) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 113) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 114) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 116) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 121) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 167) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function evalSubExprsIfNeededAsync (line 174) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 180) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 184) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 196) | static PacketReturnType Run(const Self& self, Index index) {
  function EIGEN_STRONG_INLINE (line 226) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type internal (line 260) | typedef internal::TensorBlockIO<ScalarNoConst, Index, NumDims, Layout>
  type typename (line 262) | typedef typename TensorBlockIO::Dst TensorBlockIODst;
  type typename (line 263) | typedef typename TensorBlockIO::Src TensorBlockIOSrc;
  function TensorOpCost (line 281) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
  function namespace (line 20) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorStridingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorStridingOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorStridingOp>::StorageKind ...
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorStridingOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 90) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 91) | typedef typename XprType::Scalar Scalar;
  type typename (line 92) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 93) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 95) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 96) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 109) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 112) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 145) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType/*data...
  function EIGEN_STRONG_INLINE (line 149) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 153) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 159) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 208) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTrace.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorTraceOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorTraceOp>::StorageKind Sto...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorTraceOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 89) | typedef DSizes<Index, NumOutputDims> Dimensions;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 94) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 95) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 108) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 111) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 214) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 219) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 223) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 245) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  function bind (line 260) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 267) | Index firstInput(Index index) const {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 90) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 91) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 92) | typedef typename BaseTraits::Index Index;
  type MakePointer_ (line 101) | typedef MakePointer_<T> MakePointerT;
  type typename (line 102) | typedef typename MakePointerT::Type Type;
  type typename (line 104) | typedef typename MakePointer<Scalar>::Type PointerType;
  type typename (line 112) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 113) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 114) | typedef typename BaseTraits::Index Index;
  type typename (line 121) | typedef typename BaseTraits::PointerType PointerType;
  type Tensor (line 128) | typedef const Tensor<Scalar_, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type Tensor (line 134) | typedef const Tensor<Scalar_, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type TensorFixedSize (line 140) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorFixedSize (line 146) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorMap (line 152) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorMap (line 158) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorRef (line 164) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 170) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type typename (line 176) | typedef typename ref_selector<T>::type type;
  type TensorRef (line 207) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 213) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type PaddingType (line 257) | typedef enum {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorUInt128.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h
  function namespace (line 7) | namespace Eigen {
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Scalar Sc...
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorVolumePatchOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::StorageKi...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Index Index;
  type typename (line 172) | typedef typename XprType::Index Index;
  type DSizes (line 175) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 176) | typedef typename internal::remove_const<typename
  type typename (line 177) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 178) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 180) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 181) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 194) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 197) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 355) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 360) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 364) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 420) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 508) | TensorOpCost

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/DynamicSymmetry.h
  function namespace (line 13) | namespace Eigen {
  function add (line 27) | void add(Gen_) { add(Gen_::One, Gen_::Two, Gen_::Flags); }
  function addSymmetry (line 28) | inline void addSymmetry(int one, int two) { add(one, two, 0); }
  function addAntiSymmetry (line 29) | inline void addAntiSymmetry(int one, int two) { add(one, two, NegationFl...
  function addHermiticity (line 30) | inline void addHermiticity(int one, int two) { add(one, two, Conjugation...
  function addAntiHermiticity (line 31) | inline void addAntiHermiticity(int one, int two) { add(one, two, Negatio...
  function RV (line 34) | inline RV apply(const std::array<Index, N>& idx, RV initial, Args&&... a...
  function RV (line 43) | RV apply(const std::vector<Index>& idx, RV initial, Args&&... args) const
  type GroupElement (line 67) | struct GroupElement {
  function DynamicSGroup (line 161) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs const...
  function DynamicSGroup (line 162) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs&& oth...
  function add_all (line 168) | void add_all(internal::type_list<Gen1, GenNext...>)
  function add_all (line 174) | inline void add_all(internal::type_list<>)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/StaticSymmetry.h
  function namespace (line 13) | namespace Eigen {
  type indices_ (line 34) | typedef indices_ indices;
  type tensor_static_symgroup_element (line 41) | typedef tensor_static_symgroup_element<
  type tensor_static_symgroup_element (line 50) | typedef tensor_static_symgroup_element<
  type typename (line 70) | typedef typename B::indices iib;
  type tensor_static_symgroup_element (line 77) | typedef tensor_static_symgroup_element<
  type typename (line 86) | typedef typename A::indices iia;
  type typename (line 87) | typedef typename B::indices iib;
  type tensor_static_symgroup (line 115) | struct tensor_static_symgroup
  function std (line 128) | inline std::vector<Index> tensor_static_symgroup_index_permute(std::vect...
  type internal (line 184) | typedef internal::group_theory::enumerate_group_elements<
  type typename (line 190) | typedef typename group_elements::type ge;
  function RV (line 197) | static inline RV apply(const std::array<Index, N>& idx, RV initial, Args...
  function RV (line 203) | inline RV apply(const std::vector<Index>& idx, RV initial, Args&&... args)
  function size (line 211) | constexpr static inline std::size_t size() {
  function globalFlags (line 214) | constexpr static inline int globalFlags() { return group_elements::globa...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/Symmetry.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 152) | namespace internal {
  type StaticSGroup (line 229) | typedef StaticSGroup<> root_type;
  type tensor_symmetry_pre_analysis (line 233) | struct tensor_symmetry_pre_analysis
  type tensor_static_symgroup_if (line 237) | typedef tensor_static_symgroup_if<(sizeof...(Gens_) + 1 <= max_static_ge...
  type typename (line 240) | typedef typename conditional<
  type tensor_static_symgroup_if (line 248) | struct tensor_static_symgroup_if
  type tensor_static_symgroup_if (line 255) | struct tensor_static_symgroup_if
  type typename (line 260) | typedef typename Tensor_::Index Index;
  type typename (line 261) | typedef typename Tensor_::Scalar Scalar;
  function run (line 264) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 279) | typedef typename Tensor_::Index Index;
  function run (line 282) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 301) | typedef typename Tensor_::Scalar Scalar;
  function doAssign (line 317) | inline void doAssign(Scalar const& value)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/util/TemplateGroupTheory.h
  function namespace (line 13) | namespace Eigen {
  type type_list (line 221) | typedef type_list<first_generator> generators_done;
  type dimino_first_step_elements_helper (line 223) | typedef dimino_first_step_elements_helper<
  type typename (line 232) | typedef typename helper::type type;
  type typename (line 264) | typedef typename apply_op_from_right<Multiply, new_coset_rep, sub_group_...
  type contained_in_list_gf (line 317) | typedef contained_in_list_gf<Equality, new_coset_rep, elements> _cil;
  type typename (line 320) | typedef typename dimino_get_coset_elements<
  type dimino_add_cosets_for_rep (line 327) | typedef dimino_add_cosets_for_rep<
  type typename (line 338) | typedef typename _helper::type type;
  type typename (line 392) | typedef typename get<rep_pos, elements>::type rep_element;
  type dimino_add_cosets_for_rep (line 393) | typedef dimino_add_cosets_for_rep<
  type typename (line 403) | typedef typename _ac4r::type new_elements;
  type dimino_add_all_coset_spaces (line 408) | typedef dimino_add_all_coset_spaces<
  type typename (line 420) | typedef typename _helper::type type;
  type typename (line 467) | typedef typename apply_op_from_right<Multiply, current_generator, elemen...
  type typename (line 468) | typedef typename concat<elements, multiplied_elements>::type new_elements;
  type dimino_add_all_coset_spaces (line 472) | typedef dimino_add_all_coset_spaces<
  type typename (line 483) | typedef typename _helper::type type;
  type contained_in_list_gf (line 527) | typedef contained_in_list_gf<Equality, first_generator, elements> _cil;
  type dimino_add_generator (line 529) | typedef dimino_add_generator<
  type typename (line 539) | typedef typename _helper::type new_elements;
  type dimino_add_remaining_generators (line 541) | typedef dimino_add_remaining_generators<
  type typename (line 550) | typedef typename _next_iter::type type;
  type typename (line 594) | typedef typename first_step::type first_step_elements;
  type dimino_add_remaining_generators (line 596) | typedef dimino_add_remaining_generators<
  type typename (line 605) | typedef typename _helper::type type;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/Barrier.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/EventCount.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/NonBlockingThreadPool.h
  function namespace (line 13) | namespace Eigen {
  function EncodePartition (line 175) | inline unsigned EncodePartition(unsigned start, unsigned limit) {
  function DecodePartition (line 179) | inline void DecodePartition(unsigned val, unsigned* start, unsigned* lim...
  function AssertBounds (line 185) | void AssertBounds(int start, int end) {
  function SetStealPartition (line 191) | inline void SetStealPartition(size_t i, unsigned val) {
  function GetStealPartition (line 195) | inline unsigned GetStealPartition(int i) {
  function ComputeCoprimes (line 199) | void ComputeCoprimes(int N, MaxSizeVector<unsigned>* coprimes) {
  type typename (line 215) | typedef typename Environment::EnvThread Thread;
  function else (line 217) | struct PerThread {
  function Task (line 336) | Task Steal(unsigned start, unsigned limit) {
  function Task (line 362) | Task LocalSteal() {
  function Task (line 376) | Task GlobalSteal() {
  function WaitForWork (line 384) | bool WaitForWork(EventCount::Waiter* waiter, Task* t) {
  function NonEmptyQueueIndex (line 431) | int NonEmptyQueueIndex() {
  function EIGEN_STRONG_INLINE (line 452) | static EIGEN_STRONG_INLINE uint64_t GlobalThreadIdHash() {
  function EIGEN_STRONG_INLINE (line 456) | EIGEN_STRONG_INLINE PerThread* GetPerThread() {
  function Rand (line 472) | static EIGEN_STRONG_INLINE unsigned Rand(uint64_t* state) {
  type ThreadPoolTempl (line 482) | typedef ThreadPoolTempl<StlThreadEnvironment> ThreadPool;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/RunQueue.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadEnvironment.h
  function namespace (line 13) | namespace Eigen {
  function Task (line 34) | Task CreateTask(std::function<void()> f) { return Task{std::move(f)}; }
  function ExecuteTask (line 35) | void ExecuteTask(const Task& t) { t.f(); }

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadLocal.h
  function namespace (line 65) | namespace Eigen {
  type ThreadIdAndValue (line 257) | struct ThreadIdAndValue {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadPoolInterface.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/util/CXX11Meta.h
  function namespace (line 18) | namespace Eigen {
  type a (line 71) | typedef a type;
  type take (line 81) | struct take
  type type_list (line 81) | typedef type_list<> type;
  type h_skip_helper_type (line 98) | struct h_skip_helper_type
  type type_list (line 98) | typedef type_list<> type;
  function type (line 104) | type helper(numeric_list<T, ii...>) { return typename h_skip_helper_nume...
  function type (line 106) | type helper(type_list<tt...>) { return typename h_skip_helper_type<n, tt...
  type type (line 109) | typedef decltype(h_skip<n>::helper(a())) type;
  type t (line 129) | typedef t type;
  type t (line 130) | typedef t type;
  function run (line 268) | int run() { return Reducer::Identity; }
  function EIGEN_STRONG_INLINE (line 276) | constexpr static EIGEN_STRONG_INLINE A run(A a) { return a; }
  function EIGEN_STRONG_INLINE (line 285) | constexpr static EIGEN_STRONG_INLINE auto run(A a, Ts... ts) -> decltype...
  type sum_op (line 292) | struct sum_op           {
  type product_op (line 296) | struct product_op       {
  type logical_and_op (line 301) | struct logical_and_op   { template<typename A, typename B> constexpr sta...
  type logical_or_op (line 302) | struct logical_or_op    { template<typename A, typename B> constexpr sta...
  type equal_op (line 304) | struct equal_op         { template<typename A, typename B> constexpr sta...
  type not_equal_op (line 305) | struct not_equal_op     { template<typename A, typename B> constexpr sta...
  type lesser_op (line 306) | struct lesser_op        { template<typename A, typename B> constexpr sta...
  type lesser_equal_op (line 307) | struct lesser_equal_op  { template<typename A, typename B> constexpr sta...
  type greater_op (line 308) | struct greater_op       { template<typename A, typename B> constexpr sta...
  type greater_equal_op (line 309) | struct greater_equal_op { template<typename A, typename B> constexpr sta...
  type not_op (line 313) | struct not_op                { template<typename A> constexpr static EIG...
  type negation_op (line 314) | struct negation_op           { template<typename A> constexpr static EIG...
  type greater_equal_zero_op (line 315) | struct greater_equal_zero_op { template<typename A> constexpr static EIG...
  function EIGEN_STRONG_INLINE (line 324) | constexpr EIGEN_STRONG_INLINE decltype(reduce<product_op, Ts...>::run((*...
  function EIGEN_STRONG_INLINE (line 338) | EIGEN_STRONG_INLINE Array h_array_reverse(Array arr, numeric_list<int, n...
  function T (line 368) | T run(const array<T, N>& arr, T)
  function EIGEN_STRONG_INLINE (line 377) | constexpr static EIGEN_STRONG_INLINE T run(const array<T, 0>&, T identity)
  function EIGEN_STRONG_INLINE (line 384) | constexpr EIGEN_STRONG_INLINE auto array_reduce(const array<T, N>& arr, ...
  function EIGEN_STRONG_INLINE (line 392) | constexpr EIGEN_STRONG_INLINE auto array_sum(const array<T, N>& arr) -> ...
  function EIGEN_STRONG_INLINE (line 398) | constexpr EIGEN_STRONG_INLINE auto array_prod(const array<T, N>& arr) ->...
  function EIGEN_STRONG_INLINE (line 404) | EIGEN_STRONG_INLINE t array_prod(const std::vector<t>& a) {
  function EIGEN_STRONG_INLINE (line 428) | constexpr EIGEN_STRONG_INLINE auto h_array_zip_and_reduce(array<A, N> a,...
  function decltype (line 434) | auto array_zip_and_reduce(array<A, N> a, array<B, N> b) -> decltype(h_ar...
  function EIGEN_STRONG_INLINE (line 456) | constexpr EIGEN_STRONG_INLINE auto h_array_apply_and_reduce(array<A, N> ...
  function decltype (line 462) | auto array_apply_and_reduce(array<A, N> a) -> decltype(h_array_apply_and...
  type h_instantiate_by_c_array (line 487) | struct h_instantiate_by_c_array
  type h_instantiate_by_c_array (line 490) | struct h_instantiate_by_c_array
  function InstType (line 492) | static InstType run(ArrType* arr, Ps... args)
  type h_instantiate_by_c_array (line 499) | struct h_instantiate_by_c_array
  function InstType (line 501) | static InstType run(ArrType* arr, Ps... args)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/util/CXX11Workarounds.h
  function namespace (line 42) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/util/EmulateArray.h
  function namespace (line 20) | namespace Eigen {
  function namespace (line 199) | namespace internal {
  function namespace (line 229) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/CXX11/src/util/MaxSizeVector.h
  function namespace (line 13) | namespace Eigen {
  function T (line 115) | const T& back() const {
  function T (line 133) | T* data() { return data_; }
  function T (line 136) | const T* data() const { return data_; }
  function T (line 139) | T* begin() { return data_; }
  function T (line 142) | T* end() { return data_ + size_; }
  function T (line 145) | const T* begin() const { return data_; }
  function T (line 148) | const T* end() const { return data_ + size_; }

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffJacobian.h
  function namespace (line 13) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h
  function namespace (line 13) | namespace Eigen {
  function friend (line 303) | friend inline const AutoDiffScalar<EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYP...
  function namespace (line 383) | namespace internal {
  function AutoDiffScalar (line 418) | inline AutoDiffScalar<DerivativeType>& operator+=(const Real& other)
  function run (line 477) | static void run(A& a, B& b) {
  function run (line 493) | static void run(A& a, B& b) {
  type Matrix (line 511) | typedef Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols...
  function run (line 512) | static void run(A& a, B& b) {
  type AutoDiffScalar (line 570) | typedef AutoDiffScalar<typename
  function typename (line 578) | typename DerType::Scalar imag(const AutoDiffScalar<DerType>&)    { retur...
  type typename (line 581) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 586) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 591) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 596) | typedef typename CleanedUpDerType<DerType>::type ADS;
  function Eigen (line 642) | const Eigen::AutoDiffScalar<
  type typename (line 657) | typedef typename internal::traits<typename internal::remove_all<DerTypeA...
  type AutoDiffScalar (line 658) | typedef AutoDiffScalar<Matrix<Scalar,Dynamic,1> > PlainADS;
  type AutoDiffScalar (line 706) | typedef AutoDiffScalar<Matrix<typename
  type AutoDiffScalar (line 708) | typedef AutoDiffScalar<DerType> NonInteger;
  type AutoDiffScalar (line 709) | typedef AutoDiffScalar<DerType> Nested;
  type typename (line 710) | typedef typename NumTraits<typename DerTypeCleaned::Scalar>::Literal Lit...
  function namespace (line 718) | namespace std {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/BVH/BVAlgorithms.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/BVH/KdBVH.h
  function namespace (line 13) | namespace Eigen {
  type _Object (line 72) | typedef _Object Object;
  type std (line 73) | typedef std::vector<Object, aligned_allocator<Object> > ObjectList;
  type Scalar_ (line 74) | typedef Scalar_ Scalar;
  type AlignedBox (line 75) | typedef AlignedBox<Scalar, Dim> Volume;
  type std (line 76) | typedef std::vector<Volume, aligned_allocator<Volume> > VolumeList;
  type Index (line 77) | typedef int Index;
  type Object (line 79) | typedef const Object *ObjectIterator;
  function EIGEN_STRONG_INLINE (line 133) | EIGEN_STRONG_INLINE void getChildren(Index index, VolumeIterator &outVBe...
  function Volume (line 165) | inline const Volume &getVolume(Index index) const
  type std (line 172) | typedef std::vector<VIPair, aligned_allocator<VIPair> > VIPairList;
  type Matrix (line 173) | typedef Matrix<Scalar, Dim, 1> VectorType;
  type VectorComparator (line 174) | struct VectorComparator //compares vectors, or more specifically, VIPair...
  function build (line 184) | void build(VIPairList &objCenters, int from, int to, const VolumeList &o...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Eigenvalues/ArpackSelfAdjointEigenSolver.h
  function namespace (line 15) | namespace Eigen {
  function seupd (line 696) | static inline void seupd(int *rvec, char *All, int *select, float *d,
  type arpack_wrapper (line 708) | struct arpack_wrapper
  function saupd (line 710) | static inline void saupd(int *ido, char *bmat, int *n, char *which,
  function seupd (line 718) | static inline void seupd(int *rvec, char *All, int *select, double *d,
  function project (line 760) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)
  function project (line 778) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/EulerAngles/EulerAngles.h
  function namespace (line 13) | namespace Eigen
  function namespace (line 323) | namespace internal
  function run (line 336) | static void run(EulerAngles<Scalar, System>& e, const Other& m)
  function run (line 347) | static void run(EulerAngles<Scalar, System>& e, const Other& vec)

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/EulerAngles/EulerSystem.h
  function namespace (line 13) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/FFT/ei_fftw_impl.h
  function namespace (line 10) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/FFT/ei_kissfft_impl.h
  function namespace (line 10) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/DGMRES.h
  function namespace (line 15) | namespace Eigen {
  type MatrixType_ (line 113) | typedef MatrixType_ MatrixType;
  type typename (line 114) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 115) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 116) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 117) | typedef Preconditioner_ Preconditioner;
  type Matrix (line 118) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 119) | typedef Matrix<RealScalar,Dynamic,Dynamic> DenseRealMatrix;
  type Matrix (line 120) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type Matrix (line 121) | typedef Matrix<RealScalar,Dynamic,1> DenseRealVector;
  type Matrix (line 122) | typedef Matrix<std::complex<RealScalar>, Dynamic, 1> ComplexVector;
  function Index (line 158) | Index restart() { return m_restart; }
  function set_restart (line 163) | void set_restart(const Index restart) { m_restart=restart; }
  function setEigenv (line 168) | void setEigenv(const Index neig)
  function Index (line 177) | Index deflSize() {return m_r; }
  function setMaxEigenv (line 182) | void setMaxEigenv(const Index maxNeig) { m_maxNeig = maxNeig; }

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/GMRES.h
  function namespace (line 14) | namespace Eigen {
  type MatrixType_ (line 283) | typedef MatrixType_ MatrixType;
  type typename (line 284) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 285) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 286) | typedef Preconditioner_ Preconditioner;
  function Index (line 310) | Index get_restart() { return m_restart; }
  function set_restart (line 315) | void set_restart(const Index restart) { m_restart=restart; }

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/IDRS.h
  function namespace (line 16) | namespace Eigen

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/IncompleteLU.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/IterationController.h
  function namespace (line 61) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/MINRES.h
  function namespace (line 17) | namespace Eigen {
  type MatrixType_ (line 206) | typedef MatrixType_ MatrixType;
  type typename (line 207) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 208) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 209) | typedef Preconditioner_ Preconditioner;
  type typename (line 238) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 239) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 246) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 248) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/IterativeSolvers/Scaling.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMcovar.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMonestep.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMpar.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMqrsolv.h
  function namespace (line 18) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/LevenbergMarquardt/LevenbergMarquardt.h
  function namespace (line 23) | namespace Eigen {
  type Scalar_ (line 71) | typedef Scalar_ Scalar;
  type Index_ (line 72) | typedef Index_ Index;
  type Matrix (line 73) | typedef Matrix<Scalar,Dynamic,1> InputType;
  type Matrix (line 74) | typedef Matrix<Scalar,Dynamic,1> ValueType;
  type SparseMatrix (line 75) | typedef SparseMatrix<Scalar, ColMajor, Index> JacobianType;
  type SparseQR (line 76) | typedef SparseQR<JacobianType, COLAMDOrdering<int> > QRSolver;
  function namespace (line 95) | namespace internal {
  type typename (line 114) | typedef typename FunctorType::QRSolver QRSolver;
  type typename (line 115) | typedef typename FunctorType::JacobianType JacobianType;
  type typename (line 116) | typedef typename JacobianType::Scalar Scalar;
  type typename (line 117) | typedef typename JacobianType::RealScalar RealScalar;
  type typename (line 118) | typedef typename QRSolver::StorageIndex PermIndex;
  type Matrix (line 119) | typedef Matrix<Scalar,Dynamic,1> FVectorType;
  type PermutationMatrix (line 120) | typedef PermutationMatrix<Dynamic,Dynamic,int> PermutationType;
  function resetParameters (line 145) | void resetParameters()
  function setXtol (line 158) | void setXtol(RealScalar xtol) { m_xtol = xtol; }
  function setFtol (line 161) | void setFtol(RealScalar ftol) { m_ftol = ftol; }
  function setGtol (line 164) | void setGtol(RealScalar gtol) { m_gtol = gtol; }
  function setFactor (line 167) | void setFactor(RealScalar factor) { m_factor = factor; }
  function setEpsilon (line 170) | void setEpsilon (RealScalar epsfcn) { m_epsfcn = epsfcn; }
  function setMaxfev (line 173) | void setMaxfev(Index maxfev) {m_maxfev = maxfev; }
  function setExternalScaling (line 176) | void setExternalScaling(bool value) {m_useExternalScaling  = value; }
  function Index (line 200) | Index iterations() { return m_iter; }
  function Index (line 203) | Index nfev() { return m_nfev; }
  function Index (line 206) | Index njev() { return m_njev; }
  function RealScalar (line 209) | RealScalar fnorm() {return m_fnorm; }
  function RealScalar (line 212) | RealScalar gnorm() {return m_gnorm; }
  function RealScalar (line 215) | RealScalar lm_param(void) { return m_par; }
  function PermutationType (line 232) | PermutationType permutation() {return m_permutation; }
  function Status (line 343) | Status
  function Scalar (line 371) | Scalar tol

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
  function namespace (line 16) | namespace Eigen {
  function true_type (line 348) | struct is_exp_known_type<float> : true_type {}
  function true_type (line 349) | struct is_exp_known_type<double> : true_type {}
  function true_type (line 351) | struct is_exp_known_type<long double> : true_type {}
  type typename (line 357) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 377) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 378) | typedef typename traits<MatrixType>::Scalar Scalar;
  type typename (line 379) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 380) | typedef typename std::complex<RealScalar> ComplexScalar;
  function namespace (line 424) | namespace internal {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 133) | typedef typename EivalsType::RealScalar RealScalar;
  type typename (line 283) | typedef typename MatrixType::Scalar Scalar;
  type internal (line 325) | typedef internal::traits<MatrixType> Traits;
  type typename (line 326) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 328) | typedef Matrix<Scalar, Dynamic, Dynamic, Options, Traits::RowsAtCompileT...
  function run (line 393) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  function run (line 417) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  type typename (line 475) | typedef typename internal::stem_function<Scalar>::type StemFunction;
  type typename (line 496) | typedef typename internal::nested_eval<Derived, 10>::type NestedEvalType;
  type typename (line 497) | typedef typename internal::remove_all<NestedEvalType>::type NestedEvalTy...
  type internal (line 498) | typedef internal::traits<NestedEvalTypeClean> Traits;
  type std (line 499) | typedef std::complex<typename
  type Matrix (line 500) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0, Traits::RowsAtCompile...
  type internal (line 502) | typedef internal::MatrixFunctionAtomic<DynMatrixType> AtomicType;
  function namespace (line 516) | namespace internal {
  type typename (line 539) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 547) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 555) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 563) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 93) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 94) | typedef typename MatrixType::RealScalar RealScalar;
  type std (line 95) | typedef std::complex<RealScalar> ComplexScalar;
  type Block (line 96) | typedef Block<MatrixType,Dynamic,Dynamic> ResultType;
  type typename (line 341) | typedef typename MatrixType::RealScalar RealScalar;
  function MatrixPowerParenthesesReturnValue (line 366) | const MatrixPowerParenthesesReturnValue<MatrixType> operator()(RealScala...
  type Matrix (line 384) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0,
  type typename (line 600) | typedef typename Derived::RealScalar RealScalar;
  type typename (line 647) | typedef typename std::complex<typename
  function namespace (line 679) | namespace internal {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MatrixFunctions/StemFunction.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/MoreVectorization/MathFunctions.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/chkder.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/covar.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/dogleg.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/qrsolv.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/r1mpyq.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/r1updt.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NonLinearOptimization/rwupdt.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Polynomials/Companion.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Polynomials/PolynomialSolver.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 340) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 343) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, Sca...

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Polynomials/PolynomialUtils.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 101) | typedef typename Polynomial::Scalar Scalar;
  type typename (line 102) | typedef typename NumTraits<Scalar>::Real Real;
  type typename (line 130) | typedef typename Polynomial::Scalar Scalar;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineMatrix.h
  function namespace (line 16) | namespace Eigen {
  function Index (line 98) | inline Index upperNonZeros(Index j) const {
  function Index (line 102) | inline Index lowerNonZeros(Index j) const {
  function Scalar (line 106) | inline const Scalar* _diagPtr() const {
  function Scalar (line 110) | inline Scalar* _diagPtr() {
  function Scalar (line 114) | inline const Scalar* _upperPtr() const {
  function Scalar (line 118) | inline Scalar* _upperPtr() {
  function Scalar (line 122) | inline const Scalar* _lowerPtr() const {
  function Scalar (line 126) | inline Scalar* _lowerPtr() {
  function Index (line 130) | inline const Index* _upperProfilePtr() const {
  function Index (line 134) | inline Index* _upperProfilePtr() {
  function Index (line 138) | inline const Index* _lowerProfilePtr() const {
  function Index (line 142) | inline Index* _lowerProfilePtr() {
  function Scalar (line 146) | inline Scalar coeff(Index row, Index col) const {
  function Scalar (line 195) | inline Scalar& coeffRef(Index row, Index col) {
  function Scalar (line 234) | inline Scalar coeffDiag(Index idx) const {
  function Scalar (line 240) | inline Scalar coeffLower(Index row, Index col) const {
  function Scalar (line 264) | inline Scalar coeffUpper(Index row, Index col) const {
  function Scalar (line 287) | inline Scalar& coeffRefDiag(Index idx) {
  function Scalar (line 293) | inline Scalar& coeffRefLower(Index row, Index col) {
  function coeffExistLower (line 312) | inline bool coeffExistLower(Index row, Index col) {
  function Scalar (line 329) | inline Scalar& coeffRefUpper(Index row, Index col) {
  function coeffExistUpper (line 348) | inline bool coeffExistUpper(Index row, Index col) {
  function setZero (line 376) | inline void setZero() {
  function reserve (line 388) | inline void reserve(Index reserveSize, Index reserveUpperSize, Index res...
  function EIGEN_DONT_INLINE (line 400) | EIGEN_DONT_INLINE Scalar & insert(Index row, Index col) {
  function finalize (line 534) | inline void finalize() {
  function squeeze (line 577) | inline void squeeze() {
  function resizeNonZeros (line 626) | void resizeNonZeros(Index size) {
  function Scalar (line 822) | inline Scalar* valuePtr() {
  function Scalar (line 826) | inline Scalar& valueRef() {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineMatrixBase.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineProduct.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineStorage.h
  function namespace (line 13) | namespace Eigen {
  function clear (line 132) | inline void clear() {
  function Scalar (line 136) | inline Scalar& diag(Index i) {
  function Scalar (line 140) | inline const Scalar& diag(Index i) const {
  function Scalar (line 144) | inline Scalar& upper(Index i) {
  function Scalar (line 148) | inline const Scalar& upper(Index i) const {
  function Scalar (line 152) | inline Scalar& lower(Index i) {
  function Scalar (line 156) | inline const Scalar& lower(Index i) const {
  function Index (line 160) | inline Index& upperProfile(Index i) {
  function Index (line 164) | inline const Index& upperProfile(Index i) const {
  function Index (line 168) | inline Index& lowerProfile(Index i) {
  function Index (line 172) | inline const Index& lowerProfile(Index i) const {
  function SkylineStorage (line 176) | static SkylineStorage Map(Index* upperProfile, Index* lowerProfile, Scal...
  function reset (line 189) | inline void reset() {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Skyline/SkylineUtil.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 89) | typedef typename Iterator::value_type Triplet;
  type Ref (line 106) | typedef Ref<typename
  type typename (line 107) | typedef typename BlockSparseMatrixT::Index Index;
  type BlockSparseMatrixT (line 108) | typedef  BlockSparseMatrixT Nested;
  function Scalar (line 134) | Scalar coeff(Index row, Index col)
  function Scalar (line 138) | Scalar coeffRef(Index row, Index col)
  function class (line 143) | class InnerIterator : public BlockSparseMatrixT::BlockInnerIterator
  type Ref (line 167) | typedef Ref<const Matrix<typename
  type typename (line 168) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 181) | inline Scalar coeff(Index bi) const
  function Scalar (line 187) | inline Scalar coeff(Index bi, Index j) const
  type Ref (line 211) | typedef Ref<Matrix<typename
  type typename (line 212) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 221) | inline Scalar coeffRef(Index bi)
  function Scalar (line 227) | inline Scalar coeffRef(Index bi, Index j)
  function namespace (line 243) | namespace internal {
  function BlockSparseTimeDenseProduct (line 268) | EIGEN_PRODUCT_PUBLIC_INTERFACE(BlockSparseTimeDenseProduct)
  type Scalar_ (line 287) | typedef Scalar_ Scalar;
  type typename (line 288) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type StorageIndex_ (line 289) | typedef StorageIndex_ StorageIndex;
  type typename (line 290) | typedef typename internal::ref_selector<BlockSparseMatrix<Scalar_, _Bloc...
  type Matrix (line 303) | typedef Matrix<Scalar, _BlockAtCompileTime, _BlockAtCompileTime,IsColMaj...
  type Matrix (line 304) | typedef Matrix<RealScalar, _BlockAtCompileTime, _BlockAtCompileTime,IsCo...
  type typename (line 305) | typedef typename internal::conditional<_BlockAtCompileTime==Dynamic, Sca...
  type BlockSparseMatrix (line 306) | typedef BlockSparseMatrix<Scalar, BlockSize, IsColMajor ? ColMajor : Row...
  function resize (line 538) | inline void resize(Index brow, Index bcol)
  function setBlockSize (line 549) | inline void setBlockSize(Index blockSize)
  function setBlockLayout (line 563) | inline void setBlockLayout(const VectorXi& rowBlocks, const VectorXi& co...
  function reserve (line 596) | inline void reserve(const Index nonzerosblocks)
  function Index (line 779) | inline Index outerToBlock(Index outer) const
  function Index (line 791) | inline Index innerToBlock(Index inner) const
  function BlockScalarReturnType (line 864) | inline BlockScalarReturnType *valuePtr() {return static_cast<BlockScalar...
  function StorageIndex (line 866) | inline StorageIndex *innerIndexPtr() {return m_indices; }
  function StorageIndex (line 867) | inline const StorageIndex *innerIndexPtr() const {return m_indices; }
  function StorageIndex (line 868) | inline StorageIndex *outerIndexPtr() {return m_outerIndex; }
  function StorageIndex (line 869) | inline const StorageIndex* outerIndexPtr() const {return m_outerIndex; }
  function Index (line 876) | inline Index blockRowsIndex(Index bi) const
  function Index (line 884) | inline Index blockColsIndex(Index bj) const
  function Index (line 889) | inline Index blockOuterIndex(Index bj) const
  function Index (line 893) | inline Index blockInnerIndex(Index bi) const
  function Index (line 899) | inline Index blockInnerSize(Index bi) const
  function Index (line 903) | inline Index blockOuterSize(Index bj) const
  function Index (line 936) | Index blockPtr(Index id) const
  function Map (line 994) | inline Map<BlockScalar> valueRef()
  function Scalar (line 1054) | inline Scalar& valueRef()

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SparseExtra/MarketIO.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SparseExtra/MatrixMarketIterator.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SparseExtra/RandomSetter.h
  function namespace (line 16) | namespace google {}
  function namespace (line 19) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsArrayAPI.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsBFloat16.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsFunctors.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsHalf.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsImpl.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsPacketMath.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/HipVectorCompatibility.h
  function namespace (line 4) | namespace hip_impl {
  function namespace (line 8) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsArrayAPI.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsBFloat16.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsFunctors.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 132) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  function Packet (line 136) | const Packet packetOp(const Packet& x, const Packet& a, const Packet& b)...
  function EIGEN_STRONG_INLINE (line 158) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 161) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 162) | Packet packetOp(const Packet& a) const { return internal::plgamma(a); }
  function EIGEN_STRONG_INLINE (line 180) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 183) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 184) | Packet packetOp(const Packet& a) const { return internal::pdigamma(a); }
  function EIGEN_STRONG_INLINE (line 202) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  type typename (line 205) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 206) | Packet packetOp(const Packet& x, const Packet& q) const { return interna...
  function EIGEN_STRONG_INLINE (line 224) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& n, const Scal...
  type typename (line 227) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 228) | Packet packetOp(const Packet& n, const Packet& x) const { return interna...
  function EIGEN_STRONG_INLINE (line 246) | EIGEN_STRONG_INLINE const Scalar
  function EIGEN_STRONG_INLINE (line 251) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& x) const {
  function EIGEN_STRONG_INLINE (line 285) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 288) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 289) | Packet packetOp(const Packet& a) const { return internal::perfc(a); }
  function EIGEN_STRONG_INLINE (line 308) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 311) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 312) | Packet packetOp(const Packet& a) const { return internal::pndtri(a); }

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsHalf.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsImpl.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsPacketMath.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/GPU/SpecialFunctions.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/SpecialFunctions/arch/NEON/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Splines/Spline.h
  function namespace (line 15) | namespace Eigen
  type typename (line 317) | typedef typename SplineTraits<SplineType>::ControlPointVectorType Contro...
  type typename (line 318) | typedef typename SplineTraits<SplineType,DerivativeOrder>::BasisDerivati...
  type typename (line 319) | typedef typename BasisDerivativeType::ConstRowXpr BasisDerivativeRowXpr;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Splines/SplineFitting.h
  function namespace (line 23) | namespace Eigen
  type typename (line 191) | typedef typename KnotVectorType::Scalar Scalar;
  type typename (line 215) | typedef typename SplineType::KnotVectorType KnotVectorType;
  type typename (line 216) | typedef typename SplineType::ParameterVectorType ParameterVectorType;
  type typename (line 292) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 293) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 295) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixType;
  type typename (line 338) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 339) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 341) | typedef Matrix<Scalar, Dynamic, Dynamic> MatrixType;

FILE: VO_Module/thirdparty/eigen/unsupported/Eigen/src/Splines/SplineFwd.h
  function namespace (line 15) | namespace Eigen
  type Array (line 74) | typedef Array<Scalar_,Dynamic,Dynamic,RowMajor,NumOfDerivativesAtCompile...
  type Array (line 77) | typedef Array<Scalar_,Dim_,Dynamic,DerivativeMemoryLayout,Dim_,NumOfDeri...
  type Spline (line 81) | typedef Spline<float,2> Spline2f;
  type Spline (line 84) | typedef Spline<float,3> Spline3f;
  type Spline (line 87) | typedef Spline<double,2> Spline2d;
  type Spline (line 90) | typedef Spline<double,3> Spline3d;

FILE: VO_Module/thirdparty/eigen/unsupported/bench/bench_svd.cpp
  function bench_svd (line 34) | void bench_svd(const MatrixType& a = MatrixType())
  function main (line 105) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/BVH_Example.cpp
  type Eigen (line 8) | namespace Eigen {
    function Box2d (line 9) | Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); }
  type PointPointMinimizer (line 12) | struct PointPointMinimizer //how to compute squared distances between po...
    method PointPointMinimizer (line 14) | PointPointMinimizer() : calls(0) {}
    method minimumOnVolumeVolume (line 17) | double minimumOnVolumeVolume(const Box2d &r1, const Box2d &r2) { ++cal...
    method minimumOnVolumeObject (line 18) | double minimumOnVolumeObject(const Box2d &r, const Vector2d &v) { ++ca...
    method minimumOnObjectVolume (line 19) | double minimumOnObjectVolume(const Vector2d &v, const Box2d &r) { ++ca...
    method minimumOnObjectObject (line 20) | double minimumOnObjectObject(const Vector2d &v1, const Vector2d &v2) {...
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/EulerAngles.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/FFT.cpp
  function T (line 23) | T mag2(T a)
  function T (line 28) | T mag2(std::complex<T> a)
  function T (line 34) | T mag2(const std::vector<T> & vec)
  function T (line 43) | T mag2(const std::vector<std::complex<T> > & vec)
  function RandomFill (line 61) | void RandomFill(std::vector<T> & vec)
  function RandomFill (line 68) | void RandomFill(std::vector<std::complex<T> > & vec)
  function fwd_inv (line 75) | void fwd_inv(size_t nfft)
  function two_demos (line 93) | void two_demos(int nfft)
  function demo_all_types (line 101) | void demo_all_types(int nfft)
  function main (line 112) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixExponential.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixFunction.cpp
  function expfn (line 6) | std::complex<double> expfn(std::complex<double> x, int)
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixLogarithm.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixPower.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixPower_optimal.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixSine.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixSinh.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/MatrixSquareRoot.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/PolynomialSolver1.cpp
  function main (line 8) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/PolynomialUtils1.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/doc/examples/SYCL/CwiseMul.cpp
  function main (line 10) | int main()

FILE: VO_Module/thirdparty/eigen/unsupported/test/BVH.cpp
  type Eigen (line 15) | namespace Eigen {
    function bounding_box (line 17) | AlignedBox<Scalar, Dim> bounding_box(const Matrix<Scalar, Dim, 1> &v) ...
  type Ball (line 23) | struct Ball
    method Ball (line 29) | Ball() {}
    method Ball (line 30) | Ball(const VectorType &c, double r) : center(c), radius(r) {}
  function bounding_box (line 35) | AlignedBox<double, Dim> bounding_box(const Ball<Dim> &b)
  function SQR (line 38) | inline double SQR(double x) { return x * x; }
  type BallPointStuff (line 41) | struct BallPointStuff //this class provides functions to be both an inte...
    method BallPointStuff (line 48) | BallPointStuff() : calls(0), count(0) {}
    method BallPointStuff (line 49) | BallPointStuff(const VectorType &inP) : p(inP), calls(0), count(0) {}
    method intersectVolume (line 52) | bool intersectVolume(const BoxType &r) { ++calls; return r.contains(p); }
    method intersectObject (line 53) | bool intersectObject(const BallType &b) {
    method intersectVolumeVolume (line 60) | bool intersectVolumeVolume(const BoxType &r1, const BoxType &r2) { ++c...
    method intersectVolumeObject (line 61) | bool intersectVolumeObject(const BoxType &r, const BallType &b) { ++ca...
    method intersectObjectVolume (line 62) | bool intersectObjectVolume(const BallType &b, const BoxType &r) { ++ca...
    method intersectObjectObject (line 63) | bool intersectObjectObject(const BallType &b1, const BallType &b2){
    method intersectVolumeObject (line 69) | bool intersectVolumeObject(const BoxType &r, const VectorType &v) { ++...
    method intersectObjectObject (line 70) | bool intersectObjectObject(const BallType &b, const VectorType &v){
    method minimumOnVolume (line 77) | double minimumOnVolume(const BoxType &r) { ++calls; return r.squaredEx...
    method minimumOnObject (line 78) | double minimumOnObject(const BallType &b) { ++calls; return (std::max)...
    method minimumOnVolumeVolume (line 79) | double minimumOnVolumeVolume(const BoxType &r1, const BoxType &r2) { +...
    method minimumOnVolumeObject (line 80) | double minimumOnVolumeObject(const BoxType &r, const BallType &b) { ++...
    method minimumOnObjectVolume (line 81) | double minimumOnObjectVolume(const BallType &b, const BoxType &r) { ++...
    method minimumOnObjectObject (line 82) | double minimumOnObjectObject(const BallType &b1, const BallType &b2){ ...
    method minimumOnVolumeObject (line 83) | double minimumOnVolumeObject(const BoxType &r, const VectorType &v) { ...
    method minimumOnObjectObject (line 84) | double minimumOnObjectObject(const BallType &b, const VectorType &v){ ...
  type TreeTest (line 93) | struct TreeTest
    method testIntersect1 (line 101) | void testIntersect1()
    method testMinimize1 (line 120) | void testMinimize1()
    method testIntersect2 (line 141) | void testIntersect2()
    method testMinimize2 (line 166) | void testMinimize2()
  function EIGEN_DECLARE_TEST (line 195) | EIGEN_DECLARE_TEST(BVH)

FILE: VO_Module/thirdparty/eigen/unsupported/test/EulerAngles.cpp
  function verifyIsApprox (line 18) | bool verifyIsApprox(const Eigen::EulerAngles<Scalar, System>& a, const E...
  function verify_euler (line 35) | void verify_euler(const EulerAngles<Scalar, EulerSystem>& e)
  function verify_euler_vec (line 138) | void verify_euler_vec(const Matrix<Scalar,3,1>& ea)
  function verify_euler_all_neg (line 144) | void verify_euler_all_neg(const Matrix<Scalar,3,1>& ea)
  function check_all_var (line 157) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function check_singular_cases (line 175) | void check_singular_cases(const Scalar& singularBeta)
  function eulerangles_manual (line 197) | void eulerangles_manual()
  function eulerangles_rand (line 229) | void eulerangles_rand()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(EulerAngles)

FILE: VO_Module/thirdparty/eigen/unsupported/test/FFTW.cpp
  function RandomCpx (line 14) | std::complex<T> RandomCpx() { return std::complex<T>( (T)(rand()/(T)RAND...
  function promote (line 21) | complex<long double>  promote(complex<T> x) { return complex<long double...
  function promote (line 23) | complex<long double>  promote(float x) { return complex<long double>((lo...
  function promote (line 24) | complex<long double>  promote(double x) { return complex<long double>((l...
  function promote (line 25) | complex<long double>  promote(long double x) { return complex<long doubl...
  function fft_rmse (line 29) | long double fft_rmse( const VT1 & fftbuf,const VT2 & timebuf)
  function dif_rmse (line 51) | long double dif_rmse( const VT1 buf1,const VT2 buf2)
  type VectorType (line 65) | struct VectorType
  type VectorType<StdVectorContainer,Scalar> (line 67) | struct VectorType<StdVectorContainer,Scalar>
  type VectorType<EigenVectorContainer,Scalar> (line 72) | struct VectorType<EigenVectorContainer,Scalar>
  function test_scalar_generic (line 78) | void test_scalar_generic(int nfft)
  function test_scalar (line 133) | void test_scalar(int nfft)
  function test_complex_generic (line 141) | void test_complex_generic(int nfft)
  function test_complex (line 175) | void test_complex(int nfft)
  function test_return_by_value (line 211) | void test_return_by_value(int len)
  function EIGEN_DECLARE_TEST (line 228) | EIGEN_DECLARE_TEST(FFTW)

FILE: VO_Module/thirdparty/eigen/unsupported/test/NonLinearOptimization.cpp
  function fcn_chkder (line 27) | int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int if...
  function testChkder (line 70) | void testChkder()
  type Functor (line 117) | struct Functor
    method Functor (line 130) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 131) | Functor(int inputs, int values) : m_inputs(inputs), m_values(values) {}
    method inputs (line 133) | int inputs() const { return m_inputs; }
    method values (line 134) | int values() const { return m_values; }
  type lmder_functor (line 140) | struct lmder_functor : Functor<double>
    method lmder_functor (line 142) | lmder_functor(void): Functor<double>(3,15) {}
    method df (line 159) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 176) | void testLmder1()
  function testLmder (line 203) | void testLmder()
  type hybrj_functor (line 250) | struct hybrj_functor : Functor<double>
    method hybrj_functor (line 252) | hybrj_functor(void) : Functor<double>(9,9) {}
    method df (line 270) | int df(const VectorXd &x, MatrixXd &fjac)
  function testHybrj1 (line 288) | void testHybrj1()
  function testHybrj (line 319) | void testHybrj()
  type hybrd_functor (line 354) | struct hybrd_functor : Functor<double>
    method hybrd_functor (line 356) | hybrd_functor(void) : Functor<double>(9,9) {}
  function testHybrd1 (line 376) | void testHybrd1()
  function testHybrd (line 402) | void testHybrd()
  type lmstr_functor (line 436) | struct lmstr_functor : Functor<double>
    method lmstr_functor (line 438) | lmstr_functor(void) : Functor<double>(3,15) {}
    method df (line 458) | int df(const VectorXd &x, VectorXd &jac_row, VectorXd::Index rownb)
  function testLmstr1 (line 476) | void testLmstr1()
  function testLmstr (line 504) | void testLmstr()
  type lmdif_functor (line 534) | struct lmdif_functor : Functor<double>
    method lmdif_functor (line 536) | lmdif_functor(void) : Functor<double>(3,15) {}
  function testLmdif1 (line 559) | void testLmdif1()
  function testLmdif (line 589) | void testLmdif()
  type chwirut2_functor (line 637) | struct chwirut2_functor : Functor<double>
    method chwirut2_functor (line 639) | chwirut2_functor(void) : Functor<double>(3,54) {}
    method df (line 654) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 674) | void testNistChwirut2(void)
  type misra1a_functor (line 722) | struct misra1a_functor : Functor<double>
    method misra1a_functor (line 724) | misra1a_functor(void) : Functor<double>(2,14) {}
    method df (line 736) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 752) | void testNistMisra1a(void)
  type hahn1_functor (line 794) | struct hahn1_functor : Functor<double>
    method hahn1_functor (line 796) | hahn1_functor(void) : Functor<double>(7,236) {}
    method df (line 815) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 840) | void testNistHahn1(void)
  type misra1d_functor (line 893) | struct misra1d_functor : Functor<double>
    method misra1d_functor (line 895) | misra1d_functor(void) : Functor<double>(2,14) {}
    method df (line 907) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 924) | void testNistMisra1d(void)
  type lanczos1_functor (line 967) | struct lanczos1_functor : Functor<double>
    method lanczos1_functor (line 969) | lanczos1_functor(void) : Functor<double>(6,24) {}
    method df (line 980) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 1000) | void testNistLanczos1(void)
  type rat42_functor (line 1053) | struct rat42_functor : Functor<double>
    method rat42_functor (line 1055) | rat42_functor(void) : Functor<double>(3,9) {}
    method df (line 1068) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 1086) | void testNistRat42(void)
  type MGH10_functor (line 1130) | struct MGH10_functor : Functor<double>
    method MGH10_functor (line 1132) | MGH10_functor(void) : Functor<double>(3,16) {}
    method df (line 1143) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 1162) | void testNistMGH10(void)
  type BoxBOD_functor (line 1207) | struct BoxBOD_functor : Functor<double>
    method BoxBOD_functor (line 1209) | BoxBOD_functor(void) : Functor<double>(2,6) {}
    method df (line 1220) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 1236) | void testNistBoxBOD(void)
  type MGH17_functor (line 1284) | struct MGH17_functor : Functor<double>
    method MGH17_functor (line 1286) | MGH17_functor(void) : Functor<double>(5,33) {}
    method df (line 1297) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 1316) | void testNistMGH17(void)
  type MGH09_functor (line 1369) | struct MGH09_functor : Functor<double>
    method MGH09_functor (line 1371) | MGH09_functor(void) : Functor<double>(4,11) {}
    method df (line 1384) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1404) | void testNistMGH09(void)
  type Bennett5_functor (line 1454) | struct Bennett5_functor : Functor<double>
    method Bennett5_functor (line 1456) | Bennett5_functor(void) : Functor<double>(3,154) {}
    method df (line 1467) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1488) | void testNistBennett5(void)
  type thurber_functor (line 1533) | struct thurber_functor : Functor<double>
    method thurber_functor (line 1535) | thurber_functor(void) : Functor<double>(7,37) {}
    method df (line 1549) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1573) | void testNistThurber(void)
  type rat43_functor (line 1630) | struct rat43_functor : Functor<double>
    method rat43_functor (line 1632) | rat43_functor(void) : Functor<double>(4,15) {}
    method df (line 1643) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1663) | void testNistRat43(void)
  type eckerle4_functor (line 1716) | struct eckerle4_functor : Functor<double>
    method eckerle4_functor (line 1718) | eckerle4_functor(void) : Functor<double>(3,35) {}
    method df (line 1729) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1748) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1792) | EIGEN_DECLARE_TEST(NonLinearOptimization)

FILE: VO_Module/thirdparty/eigen/unsupported/test/NumericalDiff.cpp
  type Functor (line 13) | struct Functor
    method Functor (line 26) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 27) | Functor(int inputs_, int values_) : m_inputs(inputs_), m_values(values...
    method inputs (line 29) | int inputs() const { return m_inputs; }
    method values (line 30) | int values() const { return m_values; }
  type my_functor (line 34) | struct my_functor : Functor<double>
    method my_functor (line 36) | my_functor(void): Functor<double>(3,15) {}
    method actual_df (line 53) | int actual_df(const VectorXd &x, MatrixXd &fjac) const
  function test_forward (line 70) | void test_forward()
  function test_central (line 91) | void test_central()
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(NumericalDiff)

FILE: VO_Module/thirdparty/eigen/unsupported/test/alignedvector3.cpp
  type Eigen (line 13) | namespace Eigen {
    function T (line 16) | T test_relative_error(const AlignedVector3<T> &a, const MatrixBase<Der...
  function alignedvector3 (line 24) | void alignedvector3()
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(alignedvector3)

FILE: VO_Module/thirdparty/eigen/unsupported/test/autodiff.cpp
  function EIGEN_DONT_INLINE (line 14) | EIGEN_DONT_INLINE Scalar foo(const Scalar& x, const Scalar& y)
  function EIGEN_DONT_INLINE (line 26) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 33) | struct TestFunc1
    method TestFunc1 (line 46) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 47) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 49) | int inputs() const { return m_inputs; }
    method values (line 50) | int values() const { return m_values; }
  type integratorFunctor (line 112) | struct integratorFunctor
    method integratorFunctor (line 120) | integratorFunctor(const Scalar gain) : _gain(gain) {}
    method integratorFunctor (line 121) | integratorFunctor(const integratorFunctor& f) : _gain(f._gain) {}
  function forward_jacobian_cpp11 (line 157) | void forward_jacobian_cpp11(const Func& f)
  function forward_jacobian (line 191) | void forward_jacobian(const Func& f)
  function test_autodiff_scalar (line 216) | void test_autodiff_scalar()
  function test_autodiff_vector (line 229) | void test_autodiff_vector()
  function test_autodiff_jacobian (line 243) | void test_autodiff_jacobian()
  function test_autodiff_hessian (line 257) | void test_autodiff_hessian()
  function bug_1222 (line 300) | double bug_1222() {
  function bug_1223 (line 311) | double bug_1223() {
  function bug_1260 (line 330) | void bug_1260() {
  function bug_1261 (line 337) | double bug_1261() {
  function bug_1264 (line 347) | double bug_1264() {
  function bug_1281 (line 356) | double bug_1281() {
  function EIGEN_DECLARE_TEST (line 372) | EIGEN_DECLARE_TEST(autodiff)

FILE: VO_Module/thirdparty/eigen/unsupported/test/autodiff_scalar.cpp
  function check_atan2 (line 18) | void check_atan2()
  function check_hyperbolic_functions (line 39) | void check_hyperbolic_functions()
  function check_limits_specialization (line 76) | void check_limits_specialization()
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(autodiff_scalar)

FILE: VO_Module/thirdparty/eigen/unsupported/test/bessel_functions.cpp
  function verify_component_wise (line 14) | void verify_component_wise(const X& x, const Y& y)
  function array_bessel_functions (line 28) | void array_bessel_functions()
  function EIGEN_DECLARE_TEST (line 366) | EIGEN_DECLARE_TEST(bessel_functions)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_eventcount.cpp
  function rand_reentrant (line 17) | int rand_reentrant(unsigned int* s) {
  function test_basic_eventcount (line 26) | static void test_basic_eventcount()
  type TestQueue (line 41) | struct TestQueue {
    method TestQueue (line 45) | TestQueue() : val_() {}
    method Push (line 49) | bool Push() {
    method Pop (line 60) | bool Pop() {
    method Empty (line 71) | bool Empty() { return val_.load(std::memory_order_relaxed) == 0; }
  function test_stress_eventcount (line 79) | static void test_stress_eventcount()
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_eventcount)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_maxsizevector.cpp
  type Foo (line 7) | struct Foo
    method Foo (line 13) | Foo(int x=0) : dummy(x)
    method Foo (line 23) | Foo(const Foo&)
    class Fail (line 36) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 44) | EIGEN_DECLARE_TEST(cxx11_maxsizevector)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_meta.cpp
  type dummy_a (line 50) | struct dummy_a {}
  type dummy_b (line 51) | struct dummy_b {}
  type dummy_c (line 52) | struct dummy_c {}
  type dummy_d (line 53) | struct dummy_d {}
  type dummy_e (line 54) | struct dummy_e {}
  type dummy_op (line 57) | struct dummy_op
  type dummy_op<dummy_a, dummy_b> (line 58) | struct dummy_op<dummy_a, dummy_b> { typedef dummy_c type; }
  type dummy_op<dummy_b, dummy_a> (line 59) | struct dummy_op<dummy_b, dummy_a> { typedef dummy_d type; }
  type dummy_op<dummy_b, dummy_c> (line 60) | struct dummy_op<dummy_b, dummy_c> { typedef dummy_a type; }
  type dummy_op<dummy_c, dummy_b> (line 61) | struct dummy_op<dummy_c, dummy_b> { typedef dummy_d type; }
  type dummy_op<dummy_c, dummy_a> (line 62) | struct dummy_op<dummy_c, dummy_a> { typedef dummy_b type; }
  type dummy_op<dummy_a, dummy_c> (line 63) | struct dummy_op<dummy_a, dummy_c> { typedef dummy_d type; }
  type dummy_op<dummy_a, dummy_a> (line 64) | struct dummy_op<dummy_a, dummy_a> { typedef dummy_e type; }
  type dummy_op<dummy_b, dummy_b> (line 65) | struct dummy_op<dummy_b, dummy_b> { typedef dummy_e type; }
  type dummy_op<dummy_c, dummy_c> (line 66) | struct dummy_op<dummy_c, dummy_c> { typedef dummy_e type; }
  type dummy_test (line 68) | struct dummy_test { constexpr static bool value = false; constexpr stati...
  type dummy_test<dummy_a, dummy_a> (line 69) | struct dummy_test<dummy_a, dummy_a>     { constexpr static bool value = ...
  type dummy_test<dummy_b, dummy_b> (line 70) | struct dummy_test<dummy_b, dummy_b>     { constexpr static bool value = ...
  type dummy_test<dummy_c, dummy_c> (line 71) | struct dummy_test<dummy_c, dummy_c>     { constexpr static bool value = ...
  type times2_op (line 73) | struct times2_op { template<typename A> static A run(A v) { return v * 2...
    method A (line 73) | static A run(A v) { return v * 2; }
  type dummy_inst (line 75) | struct dummy_inst
    method dummy_inst (line 79) | dummy_inst() : c(0) {}
    method dummy_inst (line 80) | explicit dummy_inst(int) : c(1) {}
    method dummy_inst (line 81) | dummy_inst(int, int) : c(2) {}
    method dummy_inst (line 82) | dummy_inst(int, int, int) : c(3) {}
    method dummy_inst (line 83) | dummy_inst(int, int, int, int) : c(4) {}
    method dummy_inst (line 84) | dummy_inst(int, int, int, int, int) : c(5) {}
  function test_gen_numeric_list (line 87) | static void test_gen_numeric_list()
  function test_concat (line 132) | static void test_concat()
  function test_slice (line 159) | static void test_slice()
  function test_get (line 202) | static void test_get()
  function test_id_helper (line 222) | static void test_id_helper(dummy_a a, dummy_a b, dummy_a c)
  function test_id_numeric (line 230) | static void test_id_numeric()
  function test_id_type (line 236) | static void test_id_type()
  function test_id (line 241) | static void test_id()
  function test_is_same_gf (line 249) | static void test_is_same_gf()
  function test_apply_op (line 257) | static void test_apply_op()
  function test_contained_in_list (line 264) | static void test_contained_in_list()
  function test_arg_reductions (line 287) | static void test_arg_reductions()
  function test_array_reverse_and_reduce (line 295) | static void test_array_reverse_and_reduce()
  function test_array_zip_and_apply (line 310) | static void test_array_zip_and_apply()
  function test_array_misc (line 327) | static void test_array_misc()
  function EIGEN_DECLARE_TEST (line 343) | EIGEN_DECLARE_TEST(cxx11_meta)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_non_blocking_thread_pool.cpp
  function test_create_destroy_empty_pool (line 16) | static void test_create_destroy_empty_pool()
  function test_parallelism (line 26) | static void test_parallelism(bool allow_spinning)
  function test_cancel (line 105) | static void test_cancel()
  function test_pool_partitions (line 121) | static void test_pool_partitions() {
  function EIGEN_DECLARE_TEST (line 173) | EIGEN_DECLARE_TEST(cxx11_non_blocking_thread_pool)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_runqueue.cpp
  function rand_reentrant (line 19) | int rand_reentrant(unsigned int* s) {
  function test_basic_runqueue (line 28) | void test_basic_runqueue()
  function test_empty_runqueue (line 120) | void test_empty_runqueue()
  function test_stress_runqueue (line 160) | void test_stress_runqueue()
  function EIGEN_DECLARE_TEST (line 230) | EIGEN_DECLARE_TEST(cxx11_runqueue)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_argmax.cpp
  function test_simple_index_tuples (line 20) | static void test_simple_index_tuples()
  function test_index_tuples_dim (line 37) | static void test_index_tuples_dim()
  function test_argmax_tuple_reducer (line 55) | static void test_argmax_tuple_reducer()
  function test_argmin_tuple_reducer (line 87) | static void test_argmin_tuple_reducer()
  function test_simple_argmax (line 119) | static void test_simple_argmax()
  function test_simple_argmin (line 140) | static void test_simple_argmin()
  function test_argmax_dim (line 161) | static void test_argmax_dim()
  function test_argmin_dim (line 219) | static void test_argmin_dim()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_argmax_sycl.cpp
  function test_sycl_simple_argmax (line 31) | static void test_sycl_simple_argmax(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmax_dim (line 68) | static void test_sycl_argmax_dim(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmin_dim (line 156) | static void test_sycl_argmin_dim(const Eigen::SyclDevice& sycl_device) {
  function sycl_argmax_test_per_device (line 243) | void sycl_argmax_test_per_device(const Device_Selector& d) {
  function EIGEN_DECLARE_TEST (line 254) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_assign.cpp
  function test_1d (line 17) | static void test_1d()
  function test_2d (line 70) | static void test_2d()
  function test_3d (line 131) | static void test_3d()
  function test_same_type (line 183) | static void test_same_type()
  function test_auto_resize (line 225) | static void test_auto_resize()
  function test_compound_assign (line 250) | static void test_compound_assign()
  function test_std_initializers_tensor (line 282) | static void test_std_initializers_tensor() {
  function EIGEN_DECLARE_TEST (line 355) | EIGEN_DECLARE_TEST(cxx11_tensor_assign)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_block_access.cpp
  function TensorOpCost (line 24) | static TensorOpCost zeroCost() { return {0, 0, 0}; }
  function T (line 27) | static const T& choose(int layout, const T& col, const T& row) {
  function TensorBlockShapeType (line 31) | static TensorBlockShapeType RandomShape() {
  function RandomTargetSize (line 38) | static size_t RandomTargetSize(const DSizes<Index, NumDims>& dims) {
  function RandomDims (line 43) | static DSizes<Index, NumDims> RandomDims() {
  function T (line 52) | static T* GenerateRandomData(const Index& size) {
  function Debug (line 61) | static void Debug(DSizes<Index, NumDims> dims) {
  function test_block_mapper_sanity (line 69) | static void test_block_mapper_sanity()
  function UpdateCoeffSet (line 103) | static void UpdateCoeffSet(
  function test_block_mapper_maps_every_element (line 124) | static void test_block_mapper_maps_every_element() {
  function Index (line 153) | static Index GetInputIndex(Index output_index,
  function ComputeStrides (line 178) | static array<Index, NumDims> ComputeStrides(
  class EqualityChecker (line 196) | class EqualityChecker
    method check_recursive (line 200) | void check_recursive(const Scalar* input, const Scalar* output, int de...
    method EqualityChecker (line 214) | EqualityChecker(const Scalar* input_data_,
  function test_uniform_block_shape (line 229) | static void test_uniform_block_shape()
  function test_skewed_inner_dim_block_shape (line 356) | static void test_skewed_inner_dim_block_shape()
  function test_empty_dims (line 508) | static void test_empty_dims(const internal::TensorBlockShapeType block_s...
  function EIGEN_DECLARE_TEST (line 566) | EIGEN_DECLARE_TEST(cxx11_tensor_block_access) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_block_eval.cpp
  function RandomDims (line 20) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  type TensorBlockParams (line 31) | struct TensorBlockParams {
  function RandomBlock (line 38) | static TensorBlockParams<NumDims> RandomBlock(DSizes<Index, NumDims> dims,
  function SkewedInnerBlock (line 62) | static TensorBlockParams<NumDims> SkewedInnerBlock(
  function FixedSizeBlock (line 100) | static TensorBlockParams<NumDims> FixedSizeBlock(DSizes<Index, NumDims> ...
  function NByOne (line 107) | inline Eigen::IndexList<Index, Eigen::type2index<1>> NByOne(Index n) {
  function OneByM (line 112) | inline Eigen::IndexList<Eigen::type2index<1>, Index> OneByM(Index m) {
  function VerifyBlockEvaluator (line 124) | static void VerifyBlockEvaluator(Expression expr, GenBlockParams gen_blo...
  function test_eval_tensor_block (line 208) | static void test_eval_tensor_block() {
  function test_eval_tensor_unary_expr_block (line 219) | static void test_eval_tensor_unary_expr_block() {
  function test_eval_tensor_binary_expr_block (line 229) | static void test_eval_tensor_binary_expr_block() {
  function test_eval_tensor_binary_with_unary_expr_block (line 240) | static void test_eval_tensor_binary_with_unary_expr_block() {
  function test_eval_tensor_broadcast (line 252) | static void test_eval_tensor_broadcast() {
  function test_eval_tensor_reshape (line 282) | static void test_eval_tensor_reshape() {
  function test_eval_tensor_cast (line 301) | static void test_eval_tensor_cast() {
  function test_eval_tensor_select (line 312) | static void test_eval_tensor_select() {
  function test_eval_tensor_padding (line 327) | static void test_eval_tensor_padding() {
  function test_eval_tensor_chipping (line 367) | static void test_eval_tensor_chipping() {
  type SimpleTensorGenerator (line 404) | struct SimpleTensorGenerator {
    method T (line 405) | T operator()(const array<Index, NumDims>& coords) const {
  type SimpleTensorGenerator<bool, NumDims> (line 416) | struct SimpleTensorGenerator<bool, NumDims> {
  function test_eval_tensor_generator (line 428) | static void test_eval_tensor_generator() {
  function test_eval_tensor_reverse (line 444) | static void test_eval_tensor_reverse() {
  function test_eval_tensor_slice (line 462) | static void test_eval_tensor_slice() {
  function test_eval_tensor_shuffle (line 487) | static void test_eval_tensor_shuffle() {
  function test_eval_tensor_reshape_with_bcast (line 514) | static void test_eval_tensor_reshape_with_bcast() {
  function test_eval_tensor_forced_eval (line 537) | static void test_eval_tensor_forced_eval() {
  function test_eval_tensor_chipping_of_bcast (line 560) | static void test_eval_tensor_chipping_of_bcast() {
  function VerifyBlockAssignment (line 593) | static void VerifyBlockAssignment(Tensor<T, NumDims, Layout>& tensor,
  function test_assign_to_tensor (line 650) | static void test_assign_to_tensor() {
  function test_assign_to_tensor_reshape (line 663) | static void test_assign_to_tensor_reshape() {
  function test_assign_to_tensor_chipping (line 686) | static void test_assign_to_tensor_chipping() {
  function test_assign_to_tensor_slice (line 717) | static void test_assign_to_tensor_slice() {
  function test_assign_to_tensor_shuffle (line 747) | static void test_assign_to_tensor_shuffle() {
  function EIGEN_DECLARE_TEST (line 827) | EIGEN_DECLARE_TEST(cxx11_tensor_block_eval) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_block_io.cpp
  function RandomDims (line 17) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  function RandomBlockShape (line 25) | static internal::TensorBlockShapeType RandomBlockShape() {
  function RandomTargetBlockSize (line 32) | static size_t RandomTargetBlockSize(const DSizes<Index, NumDims>& dims) {
  function Index (line 37) | static Index GetInputIndex(Index output_index,
  function test_block_io_copy_data_from_source_to_target (line 62) | static void test_block_io_copy_data_from_source_to_target() {
  function test_block_io_copy_using_reordered_dimensions (line 121) | static void test_block_io_copy_using_reordered_dimensions() {
  function test_block_io_copy_using_reordered_dimensions_do_not_squeeze (line 221) | static void test_block_io_copy_using_reordered_dimensions_do_not_squeeze...
  function test_block_io_copy_using_reordered_dimensions_squeeze (line 268) | static void test_block_io_copy_using_reordered_dimensions_squeeze() {
  function test_block_io_zero_stride (line 315) | static void test_block_io_zero_stride() {
  function test_block_io_squeeze_ones (line 364) | static void test_block_io_squeeze_ones() {
  function EIGEN_DECLARE_TEST (line 428) | EIGEN_DECLARE_TEST(cxx11_tensor_block_io) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp
  function test_broadcast_sycl_fixed (line 29) | static void test_broadcast_sycl_fixed(const Eigen::SyclDevice &sycl_devi...
  function test_broadcast_sycl (line 80) | static void test_broadcast_sycl(const Eigen::SyclDevice &sycl_device){
  function sycl_broadcast_test_per_device (line 130) | void sycl_broadcast_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcast_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_broadcasting.cpp
  function test_simple_broadcasting (line 17) | static void test_simple_broadcasting()
  function test_vectorized_broadcasting (line 70) | static void test_vectorized_broadcasting()
  function test_static_broadcasting (line 122) | static void test_static_broadcasting()
  function test_fixed_size_broadcasting (line 179) | static void test_fixed_size_broadcasting()
  function test_simple_broadcasting_one_by_n (line 202) | static void test_simple_broadcasting_one_by_n()
  function test_simple_broadcasting_n_by_one (line 231) | static void test_simple_broadcasting_n_by_one()
  function test_simple_broadcasting_one_by_n_by_one_1d (line 260) | static void test_simple_broadcasting_one_by_n_by_one_1d()
  function test_simple_broadcasting_one_by_n_by_one_2d (line 285) | static void test_simple_broadcasting_one_by_n_by_one_2d()
  function EIGEN_DECLARE_TEST (line 313) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcasting)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_builtins_sycl.cpp
  type cl (line 30) | namespace cl {
    type sycl (line 31) | namespace sycl {
      function T (line 32) | T abs(T x) { return cl::sycl::fabs(x); }
      function T (line 33) | T square(T x) { return x * x; }
      function T (line 34) | T cube(T x) { return x * x * x; }
      function T (line 35) | T inverse(T x) { return T(1) / x; }
      function T (line 36) | T cwiseMax(T x, T y) { return cl::sycl::max(x, y); }
      function T (line 37) | T cwiseMin(T x, T y) { return cl::sycl::min(x, y); }
  type EqualAssignement (line 41) | struct EqualAssignement {
  type PlusEqualAssignement (line 46) | struct PlusEqualAssignement {
  function test_unary_builtins_for_scalar (line 53) | void test_unary_builtins_for_scalar(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins_for_assignement (line 141) | void test_unary_builtins_for_assignement(const Eigen::SyclDevice& sycl_d...
  function test_unary_builtins_return_bool (line 164) | void test_unary_builtins_return_bool(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins (line 190) | void test_unary_builtins(const Eigen::SyclDevice& sycl_device,
  function test_builtin_unary_sycl (line 205) | static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device) {
  function test_binary_builtins_func (line 216) | void test_binary_builtins_func(const Eigen::SyclDevice& sycl_device,
  function test_binary_builtins_fixed_arg2 (line 251) | void test_binary_builtins_fixed_arg2(const Eigen::SyclDevice& sycl_device,

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_casts.cpp
  function test_simple_cast (line 18) | static void test_simple_cast()
  function test_vectorized_cast (line 39) | static void test_vectorized_cast()
  function test_float_to_int_cast (line 60) | static void test_float_to_int_cast()
  function test_big_to_small_type_cast (line 79) | static void test_big_to_small_type_cast()
  function test_small_to_big_type_cast (line 94) | static void test_small_to_big_type_cast()
  function test_type_cast (line 109) | static void test_type_cast() {
  type test_cast_runner (line 130) | struct test_cast_runner {
    method run (line 131) | static void run() {
  type test_cast_runner<Scalar, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 152) | struct test_cast_runner<Scalar, typename internal::enable_if<NumTraits<S...
    method run (line 153) | static void run() {
  function EIGEN_DECLARE_TEST (line 162) | EIGEN_DECLARE_TEST(cxx11_tensor_casts)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_chipping.cpp
  function test_simple_chip (line 17) | static void test_simple_chip()
  function test_dynamic_chip (line 102) | static void test_dynamic_chip()
  function test_chip_in_expr (line 185) | static void test_chip_in_expr() {
  function test_chip_as_lvalue (line 217) | static void test_chip_as_lvalue()
  function test_chip_raw_data_col_major (line 343) | static void test_chip_raw_data_col_major()
  function test_chip_raw_data_row_major (line 378) | static void test_chip_raw_data_row_major()
  function EIGEN_DECLARE_TEST (line 413) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_chipping_sycl.cpp
  function test_static_chip_sycl (line 29) | static void test_static_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_dynamic_chip_sycl (line 178) | static void test_dynamic_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_chip_in_expr (line 326) | static void test_chip_in_expr(const Eigen::SyclDevice& sycl_device) {
  function test_chip_as_lvalue_sycl (line 401) | static void test_chip_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_chipping_test_per_device (line 606) | void sycl_chipping_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 618) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_comparisons.cpp
  function test_orderings (line 17) | static void test_orderings()
  function test_equality (line 47) | static void test_equality()
  function EIGEN_DECLARE_TEST (line 80) | EIGEN_DECLARE_TEST(cxx11_tensor_comparisons)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_concatenation.cpp
  function test_dimension_failures (line 17) | static void test_dimension_failures()
  function test_static_dimension_failure (line 37) | static void test_static_dimension_failure()
  function test_simple_concatenation (line 63) | static void test_simple_concatenation()
  function test_concatenation_as_lvalue (line 112) | static void test_concatenation_as_lvalue()
  function EIGEN_DECLARE_TEST (line 132) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_concatenation_sycl.cpp
  function test_simple_concatenation (line 26) | static void test_simple_concatenation(const Eigen::SyclDevice& sycl_device)
  function test_concatenation_as_lvalue (line 116) | static void test_concatenation_as_lvalue(const Eigen::SyclDevice& sycl_d...
  function tensorConcat_perDevice (line 169) | void tensorConcat_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_const.cpp
  function test_simple_assign (line 16) | static void test_simple_assign()
  function test_assign_of_const_tensor (line 35) | static void test_assign_of_const_tensor()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cxx11_tensor_const)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_contract_sycl.cpp
  function test_sycl_contraction (line 36) | void static test_sycl_contraction(const Device &sycl_device, IndexType m...
  function test_sycl_contraction_m (line 105) | void test_sycl_contraction_m(const Device &sycl_device) {
  function test_sycl_contraction_k (line 114) | void test_sycl_contraction_k(const Device &sycl_device) {
  function test_sycl_contraction_n (line 123) | void test_sycl_contraction_n(const Device &sycl_device) {
  function test_sycl_contraction_sizes (line 132) | void test_sycl_contraction_sizes(const Device &sycl_device) {
  function test_no_out_of_bounds (line 154) | void static test_no_out_of_bounds(const Device &sycl_device, IndexType m...
  function test_scalar (line 257) | void test_scalar(const Device &sycl_device, IndexType m_size, IndexType ...
  function contraction_batch (line 320) | void contraction_batch(const Device &sycl_device, IndexType m_size,
  function contraction_rhs_transposed (line 394) | void contraction_rhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_lhs_transposed (line 463) | void contraction_lhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_both_transposed (line 529) | void contraction_both_transposed(const Device &sycl_device, IndexType m_...
  function tensorOutofBound (line 595) | void inline tensorOutofBound(const Dev &sycl_device) {
  function tensorTensor (line 630) | void inline tensorTensor(const Dev &sycl_device) {
  function tensorTensor_m (line 649) | void inline tensorTensor_m(const Dev &sycl_device) {
  function tensorTensor_n (line 667) | void inline tensorTensor_n(const Dev &sycl_device) {
  function tensorTensor_k (line 685) | void inline tensorTensor_k(const Dev &sycl_device) {
  function tensorTensor_sizes (line 702) | void inline tensorTensor_sizes(const Dev &sycl_device) {
  function vectorVector (line 719) | void inline vectorVector(const Dev &sycl_device) {
  function vectorTensor (line 747) | void inline vectorTensor(const Dev &sycl_device) {
  function tensorVector (line 789) | void inline tensorVector(const Dev &sycl_device) {
  function tensorScalar (line 837) | void inline tensorScalar(const Dev &sycl_device) {
  function skinnyTensor_row (line 858) | void inline skinnyTensor_row(const Dev &sycl_device) {
  function skinnyTensor_col (line 881) | void inline skinnyTensor_col(const Dev &sycl_device) {
  function tensor_contraction_batch_per_device (line 904) | void inline tensor_contraction_batch_per_device(const Dev &sycl_device) {
  function tensor_contraction_lhs_transposed_per_device (line 922) | void inline tensor_contraction_lhs_transposed_per_device(
  function tensor_contraction_rhs_transposed_per_device (line 951) | void inline tensor_contraction_rhs_transposed_per_device(
  function tensor_contraction_both_transposed_per_device (line 982) | void inline tensor_contraction_both_transposed_per_device(
  function EIGEN_DECLARE_TEST (line 1002) | EIGEN_DECLARE_TEST(cxx11_tensor_contract_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_contraction.cpp
  function test_evals (line 20) | static void test_evals()
  function test_scalar (line 82) | static void test_scalar()
  function test_multidims (line 101) | static void test_multidims()
  function test_holes (line 159) | static void test_holes() {
  function test_full_redux (line 193) | static void test_full_redux()
  function test_contraction_of_contraction (line 219) | static void test_contraction_of_contraction()
  function test_expr (line 252) | static void test_expr()
  function test_out_of_order_contraction (line 271) | static void test_out_of_order_contraction()
  function test_consistency (line 316) | static void test_consistency()
  function test_large_contraction (line 353) | static void test_large_contraction()
  function test_matrix_vector (line 385) | static void test_matrix_vector()
  function test_tensor_vector (line 413) | static void test_tensor_vector()
  function test_small_blocking_factors (line 437) | static void test_small_blocking_factors()
  function test_tensor_product (line 467) | static void test_tensor_product()
  function test_const_inputs (line 494) | static void test_const_inputs()
  type SqrtOutputKernel (line 515) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 517) | EIGEN_ALWAYS_INLINE void operator()(
  function test_large_contraction_with_output_kernel (line 530) | static void test_large_contraction_with_output_kernel() {
  function EIGEN_DECLARE_TEST (line 563) | EIGEN_DECLARE_TEST(cxx11_tensor_contraction)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_convolution.cpp
  function test_evals (line 18) | static void test_evals()
  function test_expr (line 47) | static void test_expr()
  function test_modes (line 71) | static void test_modes() {
  function test_strides (line 117) | static void test_strides() {
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_convolution_sycl.cpp
  function test_larg_expr1D (line 36) | static void test_larg_expr1D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr2D (line 97) | static void test_larg_expr2D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr3D (line 158) | static void test_larg_expr3D(const Eigen::SyclDevice& sycl_device)
  function test_evals (line 219) | static void test_evals(const Eigen::SyclDevice& sycl_device)
  function test_expr (line 265) | static void test_expr(const Eigen::SyclDevice& sycl_device)
  function test_modes (line 314) | static void test_modes(const Eigen::SyclDevice& sycl_device){
  function test_strides (line 403) | static void test_strides(const Eigen::SyclDevice& sycl_device){
  function tensorConvolutionPerDevice (line 446) | void tensorConvolutionPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 465) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_custom_index.cpp
  function test_map_as_index (line 21) | static void test_map_as_index()
  function test_matrix_as_index (line 43) | static void test_matrix_as_index()
  function test_varlist_as_index (line 61) | static void test_varlist_as_index()
  function test_sizes_as_index (line 76) | static void test_sizes_as_index()
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_index) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_custom_op.cpp
  type InsertZeros (line 17) | struct InsertZeros {
    method dimensions (line 18) | DSizes<DenseIndex, 2> dimensions(const Tensor<float, 2>& input) const {
    method eval (line 26) | void eval(const Tensor<float, 2>& input, Output& output, const Device&...
  function test_custom_unary_op (line 39) | static void test_custom_unary_op()
  type BatchMatMul (line 61) | struct BatchMatMul {
    method dimensions (line 62) | DSizes<DenseIndex, 3> dimensions(const Tensor<float, 3>& input1, const...
    method eval (line 71) | void eval(const Tensor<float, 3>& input1, const Tensor<float, 3>& input2,
  function test_custom_binary_op (line 84) | static void test_custom_binary_op()
  function EIGEN_DECLARE_TEST (line 107) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_custom_op_sycl.cpp
  type InsertZeros (line 25) | struct InsertZeros {
    method dimensions (line 26) | DSizes<DenseIndex, 2> dimensions(const TensorType& input) const {
    method eval (line 34) | void eval(const TensorType& input, Output& output, const Device& devic...
  function test_custom_unary_op_sycl (line 48) | static void test_custom_unary_op_sycl(const Eigen::SyclDevice &sycl_device)
  type BatchMatMul (line 88) | struct BatchMatMul {
    method dimensions (line 89) | DSizes<DenseIndex, 3> dimensions(const TensorType& input1, const Tenso...
    method eval (line 98) | void eval(const TensorType& input1, const TensorType& input2,
  function test_custom_binary_op_sycl (line 111) | static void test_custom_binary_op_sycl(const Eigen::SyclDevice &sycl_dev...
  function custom_op_perDevice (line 157) | void custom_op_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 166) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
  function test_device_memory (line 27) | void test_device_memory(const Eigen::SyclDevice &sycl_device) {
  function test_device_exceptions (line 55) | void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
  function test_device_attach_buffer (line 72) | void test_device_attach_buffer(const Eigen::SyclDevice &sycl_device) {
  function sycl_device_test_per_device (line 96) | void sycl_device_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 109) | EIGEN_DECLARE_TEST(cxx11_tensor_device_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_dimension.cpp
  function test_dynamic_size (line 17) | static void test_dynamic_size()
  function test_fixed_size (line 30) | static void test_fixed_size()
  function test_match (line 40) | static void test_match()
  function test_rank_zero (line 51) | static void test_rank_zero()
  function test_index_type_promotion (line 63) | static void test_index_type_promotion() {
  function EIGEN_DECLARE_TEST (line 81) | EIGEN_DECLARE_TEST(cxx11_tensor_dimension)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_empty.cpp
  function test_empty_tensor (line 15) | static void test_empty_tensor()
  function test_empty_fixed_size_tensor (line 25) | static void test_empty_fixed_size_tensor()
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(cxx11_tensor_empty)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_executor.cpp
  function DefaultAssign (line 27) | static void DefaultAssign(Dst& dst, Expr expr) {
  function DeviceAssign (line 40) | static void DeviceAssign(Device& d, Dst& dst, Expr expr) {
  function RandomDims (line 49) | static array<Index, NumDims> RandomDims(int min_dim = 1, int max_dim = 2...
  function test_execute_unary_expr (line 59) | static void test_execute_unary_expr(Device d)
  function test_execute_binary_expr (line 87) | static void test_execute_binary_expr(Device d)
  function test_execute_broadcasting (line 118) | static void test_execute_broadcasting(Device d)
  function test_execute_chipping_rvalue (line 150) | static void test_execute_chipping_rvalue(Device d)
  function test_execute_chipping_lvalue (line 189) | static void test_execute_chipping_lvalue(Device d)
  function test_execute_shuffle_rvalue (line 241) | static void test_execute_shuffle_rvalue(Device d)
  function test_execute_shuffle_lvalue (line 279) | static void test_execute_shuffle_lvalue(Device d)
  function test_execute_reshape (line 315) | static void test_execute_reshape(Device d)
  function test_execute_slice_rvalue (line 355) | static void test_execute_slice_rvalue(Device d)
  function test_execute_slice_lvalue (line 395) | static void test_execute_slice_lvalue(Device d)
  function test_execute_broadcasting_of_forced_eval (line 438) | static void test_execute_broadcasting_of_forced_eval(Device d)
  type DummyGenerator (line 469) | struct DummyGenerator {
    method T (line 471) | T operator()(const array <Index, NumDims>& dims) const {
  function test_execute_generator_op (line 482) | static void test_execute_generator_op(Device d)
  function test_execute_reverse_rvalue (line 513) | static void test_execute_reverse_rvalue(Device d)
  function test_async_execute_unary_expr (line 548) | static void test_async_execute_unary_expr(Device d)
  function test_async_execute_binary_expr (line 581) | static void test_async_execute_binary_expr(Device d)
  function EIGEN_DECLARE_TEST (line 653) | EIGEN_DECLARE_TEST(cxx11_tensor_executor) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_expr.cpp
  function test_1d (line 19) | static void test_1d()
  function test_2d (line 71) | static void test_2d()
  function test_3d (line 112) | static void test_3d()
  function test_constants (line 166) | static void test_constants()
  function test_boolean (line 196) | static void test_boolean()
  function test_functors (line 224) | static void test_functors()
  function test_type_casting (line 254) | static void test_type_casting()
  function test_select (line 281) | static void test_select()
  function test_minmax_nan_propagation_templ (line 303) | void test_minmax_nan_propagation_templ() {
  function test_clip (line 421) | static void test_clip()
  function test_minmax_nan_propagation (line 441) | static void test_minmax_nan_propagation()
  function EIGEN_DECLARE_TEST (line 447) | EIGEN_DECLARE_TEST(cxx11_tensor_expr)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_fft.cpp
  function test_fft_2D_golden (line 16) | static void test_fft_2D_golden() {
  function test_fft_complex_input_golden (line 59) | static void test_fft_complex_input_golden() {
  function test_fft_real_input_golden (line 116) | static void test_fft_real_input_golden() {
  function test_fft_real_input_energy (line 179) | static void test_fft_real_input_energy() {
  function test_fft_non_power_of_2_round_trip (line 228) | static void test_fft_non_power_of_2_round_trip(int exponent) {
  function EIGEN_DECLARE_TEST (line 255) | EIGEN_DECLARE_TEST(cxx11_tensor_fft) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_fixed_size.cpp
  function test_0d (line 18) | static void test_0d()
  function test_1d (line 47) | static void test_1d()
  function test_tensor_map (line 106) | static void test_tensor_map()
  function test_2d (line 130) | static void test_2d()
  function test_3d (line 180) | static void test_3d()
  function test_array (line 226) | static void test_array()
  function EIGEN_DECLARE_TEST (line 253) | EIGEN_DECLARE_TEST(cxx11_tensor_fixed_size)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_forced_eval.cpp
  function test_simple (line 18) | static void test_simple()
  function test_const (line 49) | static void test_const()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
  function test_forced_eval_sycl (line 25) | void test_forced_eval_sycl(const Eigen::SyclDevice &sycl_device) {
  function tensorForced_evalperDevice (line 66) | void tensorForced_evalperDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 72) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_generator.cpp
  type Generator1D (line 14) | struct Generator1D {
    method Generator1D (line 15) | Generator1D() { }
  function test_1D (line 23) | static void test_1D()
  type Generator2D (line 34) | struct Generator2D {
    method Generator2D (line 35) | Generator2D() { }
  function test_2D (line 43) | static void test_2D()
  function test_gaussian (line 57) | static void test_gaussian()
  function EIGEN_DECLARE_TEST (line 83) | EIGEN_DECLARE_TEST(cxx11_tensor_generator)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_generator_sycl.cpp
  type Generator1D (line 25) | struct Generator1D {
    method Generator1D (line 26) | Generator1D() { }
  function test_1D_sycl (line 34) | static void test_1D_sycl(const Eigen::SyclDevice& sycl_device)
  type Generator2D (line 59) | struct Generator2D {
    method Generator2D (line 60) | Generator2D() { }
  function test_2D_sycl (line 68) | static void test_2D_sycl(const Eigen::SyclDevice& sycl_device)
  function test_gaussian_sycl (line 95) | static void test_gaussian_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_generator_test_per_device (line 132) | void sycl_generator_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 142) | EIGEN_DECLARE_TEST(cxx11_tensor_generator_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_ifft.cpp
  function test_1D_fft_ifft_invariant (line 18) | static void test_1D_fft_ifft_invariant(int sequence_length) {
  function test_2D_fft_ifft_invariant (line 40) | static void test_2D_fft_ifft_invariant(int dim0, int dim1) {
  function test_3D_fft_ifft_invariant (line 68) | static void test_3D_fft_ifft_invariant(int dim0, int dim1, int dim2) {
  function test_sub_fft_ifft_invariant (line 100) | static void test_sub_fft_ifft_invariant(int dim0, int dim1, int dim2, in...
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(cxx11_tensor_ifft) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_image_op_sycl.cpp
  function test_image_op_sycl (line 31) | static void test_image_op_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 90) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 96) | EIGEN_DECLARE_TEST(cxx11_tensor_image_op_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_image_patch.cpp
  function test_simple_patch (line 16) | void test_simple_patch()
  function test_patch_padding_valid (line 183) | void test_patch_padding_valid()
  function test_patch_padding_valid_same_value (line 259) | void test_patch_padding_valid_same_value()
  function test_patch_padding_same (line 332) | void test_patch_padding_same()
  function test_patch_padding_same_negative_padding_clip_to_zero (line 410) | void test_patch_padding_same_negative_padding_clip_to_zero() {
  function test_patch_no_extra_dim (line 459) | void test_patch_no_extra_dim()
  function test_imagenet_patches (line 607) | void test_imagenet_patches()
  function EIGEN_DECLARE_TEST (line 800) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_image_patch_sycl.cpp
  function test_simple_image_patch_sycl (line 27) | static void test_simple_image_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_padding_valid_sycl (line 259) | static void test_patch_padding_valid_sycl(const Eigen::SyclDevice& sycl_...
  function test_patch_padding_valid_same_value_sycl (line 365) | static void test_patch_padding_valid_same_value_sycl(const Eigen::SyclDe...
  function test_patch_padding_same_sycl (line 462) | static void test_patch_padding_same_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_no_extra_dim_sycl (line 567) | static void test_patch_no_extra_dim_sycl(const Eigen::SyclDevice& sycl_d...
  function test_imagenet_patches_sycl (line 777) | static void test_imagenet_patches_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_tensor_image_patch_test_per_device (line 1077) | void sycl_tensor_image_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 1087) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_index_list.cpp
  function test_static_index_list (line 16) | static void test_static_index_list()
  function test_type2index_list (line 48) | static void test_type2index_list()
  function test_type2indexpair_list (line 162) | static void test_type2indexpair_list()
  function test_dynamic_index_list (line 266) | static void test_dynamic_index_list()
  function test_mixed_index_list (line 298) | static void test_mixed_index_list()
  function test_dim_check (line 363) | static void test_dim_check()
  function EIGEN_DECLARE_TEST (line 375) | EIGEN_DECLARE_TEST(cxx11_tensor_index_list)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_inflation.cpp
  function test_simple_inflation (line 17) | static void test_simple_inflation()
  function EIGEN_DECLARE_TEST (line 77) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_inflation_sycl.cpp
  function test_simple_inflation_sycl (line 33) | void test_simple_inflation_sycl(const Eigen::SyclDevice &sycl_device) {
  function sycl_inflation_test_per_device (line 125) | void sycl_inflation_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_intdiv.cpp
  function test_signed_32bit (line 15) | void test_signed_32bit()
  function test_unsigned_32bit (line 50) | void test_unsigned_32bit()
  function test_signed_64bit (line 64) | void test_signed_64bit()
  function test_unsigned_64bit (line 78) | void test_unsigned_64bit()
  function test_powers_32bit (line 91) | void test_powers_32bit() {
  function test_powers_64bit (line 110) | void test_powers_64bit() {
  function test_specific (line 128) | void test_specific() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_tensor_intdiv)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_io.cpp
  function test_output_0d (line 17) | static void test_output_0d()
  function test_output_1d (line 31) | static void test_output_1d()
  function test_output_2d (line 53) | static void test_output_2d()
  function test_output_expr (line 71) | static void test_output_expr()
  function test_output_string (line 89) | static void test_output_string()
  function test_output_const (line 105) | static void test_output_const()
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(cxx11_tensor_io)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_layout_swap.cpp
  function test_simple_swap (line 16) | static void test_simple_swap()
  function test_swap_as_lvalue (line 36) | static void test_swap_as_lvalue()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_layout_swap_sycl.cpp
  function test_simple_swap_sycl (line 28) | static void test_simple_swap_sycl(const Eigen::SyclDevice& sycl_device)
  function test_swap_as_lvalue_sycl (line 71) | static void test_swap_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_tensor_layout_swap_test_per_device (line 115) | void sycl_tensor_layout_swap_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_lvalue.cpp
  function test_compound_assignment (line 18) | static void test_compound_assignment()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(cxx11_tensor_lvalue)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_map.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 35) | static void test_1d()
  function test_2d (line 69) | static void test_2d()
  function test_3d (line 116) | static void test_3d()
  function test_from_tensor (line 160) | static void test_from_tensor()
  function f (line 238) | static int f(const TensorMap<Tensor<int, 3> >& tensor) {
  function test_casting (line 246) | static void test_casting()
  function T (line 269) | static const T& add_const(T& value) {
  function test_0d_const_tensor (line 273) | static void test_0d_const_tensor()
  function test_0d_const_tensor_map (line 291) | static void test_0d_const_tensor_map()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(cxx11_tensor_map)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_math.cpp
  function test_tanh (line 17) | static void test_tanh()
  function test_sigmoid (line 29) | static void test_sigmoid()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(cxx11_tensor_math)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_math_sycl.cpp
  function test_tanh_sycl (line 31) | static void test_tanh_sycl(const Eigen::SyclDevice &sycl_device)
  function test_sigmoid_sycl (line 61) | static void test_sigmoid_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 92) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_math_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_mixed_indices.cpp
  function test_simple (line 15) | static void test_simple()
  function EIGEN_DECLARE_TEST (line 50) | EIGEN_DECLARE_TEST(cxx11_tensor_mixed_indices)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_morphing.cpp
  function test_simple_reshape (line 17) | static void test_simple_reshape()
  function test_static_reshape (line 45) | static void test_static_reshape() {
  function test_reshape_in_expr (line 67) | static void test_reshape_in_expr() {
  function test_reshape_as_lvalue (line 92) | static void test_reshape_as_lvalue()
  function test_simple_slice (line 116) | static void test_simple_slice()
  function test_const_slice (line 141) | static void test_const_slice()
  function test_slice_in_expr (line 152) | static void test_slice_in_expr() {
  function test_slice_as_lvalue (line 189) | static void test_slice_as_lvalue()
  function test_slice_raw_data (line 249) | static void test_slice_raw_data()
  function test_strided_slice (line 344) | static void test_strided_slice()
  function test_strided_slice_write (line 438) | static void test_strided_slice_write()
  function test_composition (line 464) | static void test_composition()
  function test_empty_slice (line 483) | static void test_empty_slice()
  function EIGEN_DECLARE_TEST (line 551) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_morphing_sycl.cpp
  function test_simple_reshape (line 32) | static void test_simple_reshape(const Eigen::SyclDevice& sycl_device)
  function test_reshape_as_lvalue (line 90) | static void test_reshape_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function test_simple_slice (line 138) | static void test_simple_slice(const Eigen::SyclDevice &sycl_device)
  function test_strided_slice_as_rhs_sycl (line 185) | static void test_strided_slice_as_rhs_sycl(const Eigen::SyclDevice &sycl...
  function test_strided_slice_write_sycl (line 260) | static void test_strided_slice_write_sycl(const Eigen::SyclDevice& sycl_...
  function To32BitDims (line 308) | Eigen::array<OutIndex, DSizes::count> To32BitDims(const DSizes& in) {
  function run_eigen (line 317) | int run_eigen(const SyclDevice& sycl_device) {
  function sycl_morphing_test_per_device (line 366) | void sycl_morphing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 381) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_move.cpp
  function calc_indices (line 18) | static void calc_indices(int i, int& x, int& y, int& z)
  function test_move (line 25) | static void test_move()
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(cxx11_tensor_move)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_notification.cpp
  function test_notification_single (line 18) | static void test_notification_single()
  function test_notification_multiple (line 42) | static void test_notification_multiple()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(cxx11_tensor_notification)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_of_complex.cpp
  function test_additions (line 19) | static void test_additions()
  function test_abs (line 35) | static void test_abs()
  function test_conjugate (line 51) | static void test_conjugate()
  function test_contractions (line 70) | static void test_contractions()
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(cxx11_tensor_of_complex)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_of_const_values.cpp
  function test_assign (line 17) | static void test_assign()
  function test_plus (line 53) | static void test_plus()
  function test_plus_equal (line 79) | static void test_plus_equal()
  function EIGEN_DECLARE_TEST (line 100) | EIGEN_DECLARE_TEST(cxx11_tensor_of_const_values)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_of_strings.cpp
  function test_assign (line 17) | static void test_assign()
  function test_concat (line 57) | static void test_concat()
  function test_slices (line 86) | static void test_slices()
  function test_additions (line 113) | static void test_additions()
  function test_initialization (line 134) | static void test_initialization()
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_of_strings)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_padding.cpp
  function test_simple_padding (line 17) | static void test_simple_padding()
  function test_padded_expr (line 52) | static void test_padded_expr()
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(cxx11_tensor_padding)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_padding_sycl.cpp
  function test_simple_padding (line 33) | static void test_simple_padding(const Eigen::SyclDevice& sycl_device)
  function test_padded_expr (line 90) | static void test_padded_expr(const Eigen::SyclDevice& sycl_device)
  function sycl_padding_test_per_device (line 143) | void sycl_padding_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 152) | EIGEN_DECLARE_TEST(cxx11_tensor_padding_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_patch.cpp
  function test_simple_patch (line 17) | static void test_simple_patch()
  function EIGEN_DECLARE_TEST (line 167) | EIGEN_DECLARE_TEST(cxx11_tensor_patch)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_patch_sycl.cpp
  function test_simple_patch_sycl (line 28) | static void test_simple_patch_sycl(const Eigen::SyclDevice& sycl_device){
  function sycl_tensor_patch_test_per_device (line 238) | void sycl_tensor_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 244) | EIGEN_DECLARE_TEST(cxx11_tensor_patch_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_random.cpp
  function test_default (line 15) | static void test_default()
  function test_normal (line 28) | static void test_normal()
  type MyGenerator (line 41) | struct MyGenerator {
    method MyGenerator (line 42) | MyGenerator() { }
    method MyGenerator (line 43) | MyGenerator(const MyGenerator&) { }
    method packetOp (line 53) | internal::packet_traits<int>::type packetOp(
  function test_custom (line 65) | static void test_custom()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_random)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_random_sycl.cpp
  function test_sycl_random_uniform (line 23) | static void test_sycl_random_uniform(const Eigen::SyclDevice& sycl_device)
  function test_sycl_random_normal (line 53) | void test_sycl_random_normal(const Eigen::SyclDevice& sycl_device)
  function sycl_random_test_per_device (line 83) | void sycl_random_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(cxx11_tensor_random_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_reduction.cpp
  function test_trivial_reductions (line 18) | static void test_trivial_reductions() {
  function test_simple_reductions (line 57) | static void test_simple_reductions() {
  function test_reductions_in_expr (line 246) | static void test_reductions_in_expr() {
  function test_full_reductions (line 272) | static void test_full_reductions() {
  type UserReducer (line 302) | struct UserReducer {
    method UserReducer (line 304) | UserReducer(float offset) : offset_(offset) {}
    method reduce (line 305) | void reduce(const float val, float* accum) { *accum += val * val; }
    method initialize (line 306) | float initialize() const { return 0; }
    method finalize (line 307) | float finalize(const float accum) const { return 1.0f / (accum + offse...
  function test_user_defined_reductions (line 314) | static void test_user_defined_reductions() {
  function test_tensor_maps (line 334) | static void test_tensor_maps() {
  function test_static_dims (line 368) | static void test_static_dims() {
  function test_innermost_last_dims (line 397) | static void test_innermost_last_dims() {
  function test_innermost_first_dims (line 428) | static void test_innermost_first_dims() {
  function test_reduce_middle_dims (line 459) | static void test_reduce_middle_dims() {
  function test_sum_accuracy (line 489) | static void test_sum_accuracy() {
  function EIGEN_DECLARE_TEST (line 508) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_reduction_sycl.cpp
  function test_full_reductions_sum_sycl (line 26) | static void test_full_reductions_sum_sycl(
  function test_full_reductions_sum_with_offset_sycl (line 66) | static void test_full_reductions_sum_with_offset_sycl(
  function test_full_reductions_max_sycl (line 108) | static void test_full_reductions_max_sycl(
  function test_full_reductions_max_with_offset_sycl (line 140) | static void test_full_reductions_max_with_offset_sycl(
  function test_full_reductions_mean_sycl (line 186) | static void test_full_reductions_mean_sycl(
  function test_full_reductions_mean_with_offset_sycl (line 273) | static void test_full_reductions_mean_with_offset_sycl(
  function test_full_reductions_mean_with_odd_offset_sycl (line 316) | static void test_full_reductions_mean_with_odd_offset_sycl(
  function test_full_reductions_min_sycl (line 362) | static void test_full_reductions_min_sycl(
  function test_full_reductions_min_with_offset_sycl (line 396) | static void test_full_reductions_min_with_offset_sycl(
  function test_first_dim_reductions_max_sycl (line 441) | static void test_first_dim_reductions_max_sycl(
  function test_first_dim_reductions_max_with_offset_sycl (line 487) | static void test_first_dim_reductions_max_with_offset_sycl(
  function test_last_dim_reductions_max_with_offset_sycl (line 544) | static void test_last_dim_reductions_max_with_offset_sycl(
  function test_first_dim_reductions_sum_sycl (line 609) | static void test_first_dim_reductions_sum_sycl(
  function test_first_dim_reductions_mean_sycl (line 649) | static void test_first_dim_reductions_mean_sycl(
  function test_last_dim_reductions_mean_sycl (line 695) | static void test_last_dim_reductions_mean_sycl(
  function test_last_dim_reductions_sum_sycl (line 740) | static void test_last_dim_reductions_sum_sycl(
  function test_last_reductions_sum_sycl (line 785) | static void test_last_reductions_sum_sycl(
  function test_last_reductions_mean_sycl (line 826) | static void test_last_reductions_mean_sycl(
  type CustomReducer (line 869) | struct CustomReducer {
    method reduce (line 876) | void reduce(const InT x,
    method reduce (line 884) | void reduce(const OutT x,
    method OutT (line 889) | OutT initialize() const {
    method OutT (line 893) | OutT finalize(const OutT accum) const {
  function test_full_reductions_custom_sycl (line 900) | static void test_full_reductions_custom_sycl(
  function sycl_reduction_test_full_per_device (line 935) | void sycl_reduction_test_full_per_device(const Dev& sycl_device) {
  function sycl_reduction_full_offset_per_device (line 953) | void sycl_reduction_full_offset_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_first_dim_per_device (line 976) | void sycl_reduction_test_first_dim_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_last_dim_per_device (line 990) | void sycl_reduction_test_last_dim_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 1001) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_ref.cpp
  function test_simple_lvalue_ref (line 17) | static void test_simple_lvalue_ref()
  function test_simple_rvalue_ref (line 48) | static void test_simple_rvalue_ref()
  function test_multiple_dims (line 70) | static void test_multiple_dims()
  function test_slice (line 91) | static void test_slice()
  function test_ref_of_ref (line 119) | static void test_ref_of_ref()
  function test_ref_in_expr (line 150) | static void test_ref_in_expr()
  function test_coeff_ref (line 184) | static void test_coeff_ref()
  function test_nested_ops_with_ref (line 199) | static void test_nested_ops_with_ref()
  function EIGEN_DECLARE_TEST (line 238) | EIGEN_DECLARE_TEST(cxx11_tensor_ref)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_reverse.cpp
  function test_simple_reverse (line 19) | static void test_simple_reverse()
  function test_expr_reverse (line 97) | static void test_expr_reverse(bool LValue)
  function EIGEN_DECLARE_TEST (line 182) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_reverse_sycl.cpp
  function test_simple_reverse (line 24) | static void test_simple_reverse(const Eigen::SyclDevice& sycl_device) {
  function test_expr_reverse (line 114) | static void test_expr_reverse(const Eigen::SyclDevice& sycl_device,
  function sycl_reverse_test_per_device (line 231) | void sycl_reverse_test_per_device(const cl::sycl::device& d) {
  function EIGEN_DECLARE_TEST (line 241) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_roundings.cpp
  function test_float_rounding (line 15) | static void test_float_rounding()
  function test_float_flooring (line 29) | static void test_float_flooring()
  function test_float_ceiling (line 43) | static void test_float_ceiling()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_roundings)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_scan.cpp
  function test_1d_scan (line 18) | static void test_1d_scan()
  function test_4d_scan (line 52) | static void test_4d_scan()
  function test_tensor_maps (line 87) | static void test_tensor_maps() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_scan) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_scan_sycl.cpp
  function test_sycl_cumsum (line 26) | void test_sycl_cumsum(const Eigen::SyclDevice& sycl_device, IndexType m_...
  function sycl_scan_test_exclusive_dim0_per_device (line 80) | void sycl_scan_test_exclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim1_per_device (line 87) | void sycl_scan_test_exclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim2_per_device (line 94) | void sycl_scan_test_exclusive_dim2_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim0_per_device (line 101) | void sycl_scan_test_inclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim1_per_device (line 108) | void sycl_scan_test_inclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim2_per_device (line 115) | void sycl_scan_test_inclusive_dim2_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_scan_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_shuffling.cpp
  function test_simple_shuffling (line 18) | static void test_simple_shuffling()
  function test_expr_shuffling (line 71) | static void test_expr_shuffling()
  function test_shuffling_as_value (line 134) | static void test_shuffling_as_value()
  function test_shuffle_unshuffle (line 181) | static void test_shuffle_unshuffle()
  function test_empty_shuffling (line 219) | static void test_empty_shuffling()
  function EIGEN_DECLARE_TEST (line 271) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp
  function test_simple_shuffling_sycl (line 30) | static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_shuffling_test_per_device (line 107) | void sycl_shuffling_test_per_device(dev_Selector s) {
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_simple.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 46) | static void test_1d()
  function test_2d (line 113) | static void test_2d()
  function test_3d (line 157) | static void test_3d()
  function test_simple_assign (line 275) | static void test_simple_assign()
  function test_resize (line 295) | static void test_resize()
  function EIGEN_DECLARE_TEST (line 319) | EIGEN_DECLARE_TEST(cxx11_tensor_simple)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_striding.cpp
  function test_simple_striding (line 17) | static void test_simple_striding()
  function test_striding_as_lvalue (line 70) | static void test_striding_as_lvalue()
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_striding)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_striding_sycl.cpp
  function test_simple_striding (line 34) | static void test_simple_striding(const Eigen::SyclDevice& sycl_device)
  function test_striding_as_lvalue (line 116) | static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function tensorStridingPerDevice (line 190) | void tensorStridingPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 199) | EIGEN_DECLARE_TEST(cxx11_tensor_striding_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_sugar.cpp
  function test_comparison_sugar (line 8) | static void test_comparison_sugar() {
  function test_scalar_sugar_add_mul (line 36) | static void test_scalar_sugar_add_mul() {
  function test_scalar_sugar_sub_div (line 56) | static void test_scalar_sugar_sub_div() {
  function EIGEN_DECLARE_TEST (line 76) | EIGEN_DECLARE_TEST(cxx11_tensor_sugar)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_sycl.cpp
  function test_sycl_mem_transfers (line 31) | void test_sycl_mem_transfers(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync (line 70) | void test_sycl_mem_sync(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync_offsets (line 98) | void test_sycl_mem_sync_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_memset_offsets (line 152) | void test_sycl_memset_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_computations (line 180) | void test_sycl_computations(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_cast (line 316) | static void test_sycl_cast(const Eigen::SyclDevice& sycl_device){
  function sycl_computing_test_per_device (line 342) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 357) | EIGEN_DECLARE_TEST(cxx11_tensor_sycl) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_symmetry.cpp
  function isDynGroup (line 36) | bool isDynGroup(StaticSGroup<Sym...> const& dummy)
  function isDynGroup (line 42) | bool isDynGroup(DynamicSGroup const& dummy)
  type checkIdx (line 49) | struct checkIdx {
    method doCheck_ (line 51) | static inline int doCheck_(ArrType e, int flags, int dummy, std::set<u...
    method run (line 72) | static inline int run(std::vector<int> e, int flags, int dummy, std::s...
    method run (line 78) | static inline int run(std::array<int, N> e, int flags, int dummy, std:...
  function test_symgroups_static (line 84) | static void test_symgroups_static()
  function test_symgroups_dynamic (line 109) | static void test_symgroups_dynamic()
  function test_symgroups_selection (line 138) | static void test_symgroups_selection()
  function test_tensor_epsilon (line 658) | static void test_tensor_epsilon()
  function test_tensor_sym (line 675) | static void test_tensor_sym()
  function test_tensor_asym (line 704) | static void test_tensor_asym()
  function test_tensor_dynsym (line 741) | static void test_tensor_dynsym()
  function test_tensor_randacc (line 771) | static void test_tensor_randacc()
  function EIGEN_DECLARE_TEST (line 804) | EIGEN_DECLARE_TEST(cxx11_tensor_symmetry)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_thread_local.cpp
  type Counter (line 16) | struct Counter {
    method Counter (line 17) | Counter() = default;
    method inc (line 19) | void inc() {
    method value (line 24) | int value() { return counter_value; }
  type InitCounter (line 30) | struct InitCounter {
  function test_simple_thread_local (line 36) | void test_simple_thread_local() {
  function test_zero_sized_thread_local (line 60) | void test_zero_sized_thread_local() {
  function test_large_number_of_tasks_no_spill (line 76) | void test_large_number_of_tasks_no_spill() {
  function test_large_number_of_tasks_with_spill (line 111) | void test_large_number_of_tasks_with_spill() {
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_local) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_thread_pool.cpp
  class TestAllocator (line 19) | class TestAllocator : public Allocator {
    method EIGEN_DEVICE_FUNC (line 22) | EIGEN_DEVICE_FUNC void* allocate(size_t num_bytes) const EIGEN_OVERRIDE {
    method EIGEN_DEVICE_FUNC (line 26) | EIGEN_DEVICE_FUNC void deallocate(void* buffer) const EIGEN_OVERRIDE {
    method alloc_count (line 31) | int alloc_count() const { return alloc_count_; }
    method dealloc_count (line 32) | int dealloc_count() const { return dealloc_count_; }
  function test_multithread_elementwise (line 39) | void test_multithread_elementwise()
  function test_async_multithread_elementwise (line 61) | void test_async_multithread_elementwise()
  function test_multithread_compound_assignment (line 86) | void test_multithread_compound_assignment()
  function test_multithread_contraction (line 110) | void test_multithread_contraction()
  function test_contraction_corner_cases (line 150) | void test_contraction_corner_cases()
  function test_multithread_contraction_agrees_with_singlethread (line 237) | void test_multithread_contraction_agrees_with_singlethread() {
  type SqrtOutputKernel (line 279) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 281) | EIGEN_ALWAYS_INLINE void operator()(
  function test_multithread_contraction_with_output_kernel (line 294) | static void test_multithread_contraction_with_output_kernel() {
  function test_async_multithread_contraction_agrees_with_singlethread (line 334) | void test_async_multithread_contraction_agrees_with_singlethread()
  function test_sharded_by_inner_dim_contraction (line 381) | static void test_sharded_by_inner_dim_contraction()
  function test_sharded_by_inner_dim_contraction_with_output_kernel (line 421) | static void test_sharded_by_inner_dim_contraction_with_output_kernel()
  function test_async_sharded_by_inner_dim_contraction (line 461) | static void test_async_sharded_by_inner_dim_contraction()
  function test_async_sharded_by_inner_dim_contraction_with_output_kernel (line 505) | static void test_async_sharded_by_inner_dim_contraction_with_output_kern...
  function test_full_contraction (line 547) | void test_full_contraction() {
  function test_multithreaded_reductions (line 583) | void test_multithreaded_reductions() {
  function test_memcpy (line 605) | void test_memcpy() {
  function test_multithread_random (line 624) | void test_multithread_random()
  function test_multithread_shuffle (line 633) | void test_multithread_shuffle(Allocator* allocator)
  function test_threadpool_allocate (line 657) | void test_threadpool_allocate(TestAllocator* allocator)
  function EIGEN_DECLARE_TEST (line 673) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_pool)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_trace.cpp
  function test_0D_trace (line 18) | static void test_0D_trace() {
  function test_all_dimensions_trace (line 28) | static void test_all_dimensions_trace() {
  function test_simple_trace (line 53) | static void test_simple_trace() {
  function test_trace_in_expr (line 141) | static void test_trace_in_expr() {
  function EIGEN_DECLARE_TEST (line 163) | EIGEN_DECLARE_TEST(cxx11_tensor_trace) {

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_uint128.cpp
  function VERIFY_EQUAL (line 27) | void VERIFY_EQUAL(TensorUInt128<uint64_t, uint64_t> actual, uint128_t ex...
  function test_add (line 40) | void test_add() {
  function test_sub (line 59) | void test_sub() {
  function test_mul (line 78) | void test_mul() {
  function test_div (line 97) | void test_div() {
  function test_misc1 (line 116) | void test_misc1() {
  function test_misc2 (line 131) | void test_misc2() {
  function EIGEN_DECLARE_TEST (line 147) | EIGEN_DECLARE_TEST(cxx11_tensor_uint128)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_volume_patch.cpp
  function test_single_voxel_patch (line 7) | static void test_single_voxel_patch()
  function test_entire_volume_patch (line 39) | static void test_entire_volume_patch()
  function EIGEN_DECLARE_TEST (line 108) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch)

FILE: VO_Module/thirdparty/eigen/unsupported/test/cxx11_tensor_volume_patch_sycl.cpp
  function test_single_voxel_patch_sycl (line 27) | static void test_single_voxel_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_entire_volume_patch_sycl (line 98) | static void test_entire_volume_patch_sycl(const Eigen::SyclDevice& sycl_...
  function sycl_tensor_volume_patch_test_per_device (line 210) | void sycl_tensor_volume_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 217) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch_sycl)

FILE: VO_Module/thirdparty/eigen/unsupported/test/dgmres.cpp
  function test_dgmres_T (line 14) | void test_dgmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(dgmres)

FILE: VO_Module/thirdparty/eigen/unsupported/test/forward_adolc.cpp
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 24) | struct TestFunc1
    method TestFunc1 (line 37) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 38) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 40) | int inputs() const { return m_inputs; }
    method values (line 41) | int values() const { return m_values; }
  function adolc_forward_jacobian (line 99) | void adolc_forward_jacobian(const Func& f)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(forward_adolc)

FILE: VO_Module/thirdparty/eigen/unsupported/test/gmres.cpp
  function test_gmres_T (line 14) | void test_gmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(gmres)

FILE: VO_Module/thirdparty/eigen/unsupported/test/idrs.cpp
  function test_idrs_T (line 14) | void test_idrs_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(idrs)

FILE: VO_Module/thirdparty/eigen/unsupported/test/kronecker_product.cpp
  function check_dimension (line 20) | void check_dimension(const MatrixType& ab, const int rows,  const int cols)
  function check_kronecker_product (line 28) | void check_kronecker_product(const MatrixType& ab)
  function check_sparse_kronecker_product (line 73) | void check_sparse_kronecker_product(const MatrixType& ab)
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(kronecker_product)
  function EIGEN_DECLARE_TEST (line 243) | EIGEN_DECLARE_TEST(kronecker_product)

FILE: VO_Module/thirdparty/eigen/unsupported/test/levenberg_marquardt.cpp
  type lmder_functor (line 29) | struct lmder_functor : DenseFunctor<double>
    method lmder_functor (line 31) | lmder_functor(void): DenseFunctor<double>(3,15) {}
    method df (line 48) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 65) | void testLmder1()
  function testLmder (line 93) | void testLmder()
  type lmdif_functor (line 141) | struct lmdif_functor : DenseFunctor<double>
    method lmdif_functor (line 143) | lmdif_functor(void) : DenseFunctor<double>(3,15) {}
  function testLmdif1 (line 166) | void testLmdif1()
  function testLmdif (line 196) | void testLmdif()
  type chwirut2_functor (line 244) | struct chwirut2_functor : DenseFunctor<double>
    method chwirut2_functor (line 246) | chwirut2_functor(void) : DenseFunctor<double>(3,54) {}
    method df (line 261) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 281) | void testNistChwirut2(void)
  type misra1a_functor (line 331) | struct misra1a_functor : DenseFunctor<double>
    method misra1a_functor (line 333) | misra1a_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 345) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 361) | void testNistMisra1a(void)
  type hahn1_functor (line 405) | struct hahn1_functor : DenseFunctor<double>
    method hahn1_functor (line 407) | hahn1_functor(void) : DenseFunctor<double>(7,236) {}
    method df (line 427) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 452) | void testNistHahn1(void)
  type misra1d_functor (line 507) | struct misra1d_functor : DenseFunctor<double>
    method misra1d_functor (line 509) | misra1d_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 521) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 538) | void testNistMisra1d(void)
  type lanczos1_functor (line 583) | struct lanczos1_functor : DenseFunctor<double>
    method lanczos1_functor (line 585) | lanczos1_functor(void) : DenseFunctor<double>(6,24) {}
    method df (line 596) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 616) | void testNistLanczos1(void)
  type rat42_functor (line 669) | struct rat42_functor : DenseFunctor<double>
    method rat42_functor (line 671) | rat42_functor(void) : DenseFunctor<double>(3,9) {}
    method df (line 684) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 702) | void testNistRat42(void)
  type MGH10_functor (line 748) | struct MGH10_functor : DenseFunctor<double>
    method MGH10_functor (line 750) | MGH10_functor(void) : DenseFunctor<double>(3,16) {}
    method df (line 761) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 780) | void testNistMGH10(void)
  type BoxBOD_functor (line 844) | struct BoxBOD_functor : DenseFunctor<double>
    method BoxBOD_functor (line 846) | BoxBOD_functor(void) : DenseFunctor<double>(2,6) {}
    method df (line 857) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 873) | void testNistBoxBOD(void)
  type MGH17_functor (line 928) | struct MGH17_functor : DenseFunctor<double>
    method MGH17_functor (line 930) | MGH17_functor(void) : DenseFunctor<double>(5,33) {}
    method df (line 941) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 960) | void testNistMGH17(void)
  type MGH09_functor (line 1015) | struct MGH09_functor : DenseFunctor<double>
    method MGH09_functor (line 1017) | MGH09_functor(void) : DenseFunctor<double>(4,11) {}
    method df (line 1030) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1050) | void testNistMGH09(void)
  type Bennett5_functor (line 1102) | struct Bennett5_functor : DenseFunctor<double>
    method Bennett5_functor (line 1104) | Bennett5_functor(void) : DenseFunctor<double>(3,154) {}
    method df (line 1115) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1136) | void testNistBennett5(void)
  type thurber_functor (line 1183) | struct thurber_functor : DenseFunctor<double>
    method thurber_functor (line 1185) | thurber_functor(void) : DenseFunctor<double>(7,37) {}
    method df (line 1199) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1223) | void testNistThurber(void)
  type rat43_functor (line 1282) | struct rat43_functor : DenseFunctor<double>
    method rat43_functor (line 1284) | rat43_functor(void) : DenseFunctor<double>(4,15) {}
    method df (line 1295) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1315) | void testNistRat43(void)
  type eckerle4_functor (line 1370) | struct eckerle4_functor : DenseFunctor<double>
    method eckerle4_functor (line 1372) | eckerle4_functor(void) : DenseFunctor<double>(3,35) {}
    method df (line 1383) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1402) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1448) | EIGEN_DECLARE_TEST(levenberg_marquardt)

FILE: VO_Module/thirdparty/eigen/unsupported/test/matrix_exponential.cpp
  function binom (line 12) | double binom(int n, int k)
  function T (line 21) | T expfn(T x, int)
  function test2dRotation (line 27) | void test2dRotation(double tol)
  function test2dHyperbolicRotation (line 49) | void test2dHyperbolicRotation(double tol)
  function testPascal (line 74) | void testPascal(double tol)
  function randomTest (line 98) | void randomTest(const MatrixType& m, double tol)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(matrix_exponential)

FILE: VO_Module/thirdparty/eigen/unsupported/test/matrix_function.cpp
  function test_isApprox_abs (line 18) | inline bool test_isApprox_abs(const Type1& a, const Type2& b)
  function MatrixType (line 26) | MatrixType randomMatrixWithRealEivals(const Index size)
  type randomMatrixWithImagEivals (line 41) | struct randomMatrixWithImagEivals
  type randomMatrixWithImagEivals<MatrixType, 0> (line 49) | struct randomMatrixWithImagEivals<MatrixType, 0>
    method MatrixType (line 51) | static MatrixType run(const Index size)
  type randomMatrixWithImagEivals<MatrixType, 1> (line 76) | struct randomMatrixWithImagEivals<MatrixType, 1>
    method MatrixType (line 78) | static MatrixType run(const Index size)
  function testMatrixExponential (line 96) | void testMatrixExponential(const MatrixType& A)
  function testMatrixLogarithm (line 106) | void testMatrixLogarithm(const MatrixType& A)
  function testHyperbolicFunctions (line 125) | void testHyperbolicFunctions(const MatrixType& A)
  function testGonioFunctions (line 134) | void testGonioFunctions(const MatrixType& A)
  function testMatrix (line 158) | void testMatrix(const MatrixType& A)
  function testMatrixType (line 167) | void testMatrixType(const MatrixType& m)
  function testMapRef (line 181) | void testMapRef(const MatrixType& A)
  function EIGEN_DECLARE_TEST (line 213) | EIGEN_DECLARE_TEST(matrix_function)

FILE: VO_Module/thirdparty/eigen/unsupported/test/matrix_functions.h
  function run (line 25) | static void run(MatrixType& m, MatrixType& T, const MatrixType& U)
  function run (line 45) | static void run(MatrixType& result, typename MatrixType::Index size)
  function run (line 57) | static void run(MatrixType& result, typename MatrixType::Index size)

FILE: VO_Module/thirdparty/eigen/unsupported/test/matrix_power.cpp
  function test2dRotation (line 13) | void test2dRotation(const T& tol)
  function test2dHyperbolicRotation (line 34) | void test2dHyperbolicRotation(const T& tol)
  function test3dRotation (line 56) | void test3dRotation(const T& tol)
  function testGeneral (line 70) | void testGeneral(const MatrixType& m, const typename MatrixType::RealSca...
  function testSingular (line 100) | void testSingular(const MatrixType& m_const, const typename MatrixType::...
  function testLogThenExp (line 133) | void testLogThenExp(const MatrixType& m_const, const typename MatrixType...
  function EIGEN_DECLARE_TEST (line 153) | EIGEN_DECLARE_TEST(matrix_power)

FILE: VO_Module/thirdparty/eigen/unsupported/test/matrix_square_root.cpp
  function testMatrixSqrt (line 13) | void testMatrixSqrt(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(matrix_square_root)

FILE: VO_Module/thirdparty/eigen/unsupported/test/minres.cpp
  function test_minres_T (line 15) | void test_minres_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(minres)

FILE: VO_Module/thirdparty/eigen/unsupported/test/mpreal_support.cpp
  function EIGEN_DECLARE_TEST (line 11) | EIGEN_DECLARE_TEST(mpreal_support)

FILE: VO_Module/thirdparty/eigen/unsupported/test/openglsupport.cpp
  function printProgramInfoLog (line 66) | void printProgramInfoLog(GLuint objectID)
  function printShaderInfoLog (line 81) | void printShaderInfoLog(GLuint objectID)
  function GLint (line 96) | GLint createProgram(const char* vtx, const char* frg, bool print_errors ...
  function GLint (line 157) | GLint createProgram(const std::string& vtx, const std::string& frg, bool...
  function getGlslVersionString (line 162) | std::string getGlslVersionString(int gl_major_version, int gl_minor_vers...
  function find_and_replace (line 211) | void find_and_replace(
  function format (line 226) | std::string format(
  function openglsupport_test_loop (line 240) | void openglsupport_test_loop()
  function EIGEN_DECLARE_TEST (line 559) | EIGEN_DECLARE_TEST(openglsupport)

FILE: VO_Module/thirdparty/eigen/unsupported/test/polynomialsolver.cpp
  type Eigen (line 17) | namespace Eigen {
    type internal (line 18) | namespace internal {
      type increment_if_fixed_size (line 20) | struct increment_if_fixed_size
  function PolynomialType (line 30) | PolynomialType polyder(const PolynomialType& p)
  function aux_evalSolver (line 41) | bool aux_evalSolver( const POLYNOMIAL& pols, SOLVER& psolve )
  function evalSolver (line 99) | void evalSolver( const POLYNOMIAL& pols )
  function evalSolverSugarFunction (line 113) | void evalSolverSugarFunction( const POLYNOMIAL& pols, const ROOTS& roots...
  function polynomialsolver (line 183) | void polynomialsolver(int deg)
  function EIGEN_DECLARE_TEST (line 210) | EIGEN_DECLARE_TEST(polynomialsolver)

FILE: VO_Module/thirdparty/eigen/unsupported/test/polynomialutils.cpp
  type Eigen (line 16) | namespace Eigen {
    type internal (line 17) | namespace internal {
      type increment_if_fixed_size (line 19) | struct increment_if_fixed_size
  function realRoots_to_monicPolynomial_test (line 29) | void realRoots_to_monicPolynomial_test(int deg)
  function realRoots_to_monicPolynomial_scalar (line 49) | void realRoots_to_monicPolynomial_scalar()
  function CauchyBounds (line 67) | void CauchyBounds(int deg)
  function CauchyBounds_scalar (line 90) | void CauchyBounds_scalar()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(polynomialutils)

FILE: VO_Module/thirdparty/eigen/unsupported/test/sparse_extra.cpp
  function test_random_setter (line 41) | bool test_random_setter(SparseMatrix<Scalar,Options>& sm, const DenseTyp...
  function test_random_setter (line 59) | bool test_random_setter(DynamicSparseMatrix<T>& sm, const DenseType& ref...
  function sparse_extra (line 73) | void sparse_extra(const SparseMatrixType& ref)
  function check_marketio (line 153) | void check_marketio()
  function check_marketio_vector (line 166) | void check_marketio_vector()
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(sparse_extra)

FILE: VO_Module/thirdparty/eigen/unsupported/test/special_functions.cpp
  function verify_component_wise (line 26) | void verify_component_wise(const X& x, const Y& y)
  function array_special_functions (line 39) | void array_special_functions()
  function EIGEN_DECLARE_TEST (line 490) | EIGEN_DECLARE_TEST(special_functions)

FILE: VO_Module/thirdparty/eigen/unsupported/test/special_packetmath.cpp
  function packetmath_real (line 15) | void packetmath_real()
  type Eigen (line 125) | namespace Eigen {
    type test (line 126) | namespace test {
      type runall (line 129) | struct runall {
        method run (line 130) | static void run() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(special_packetmath)

FILE: VO_Module/thirdparty/eigen/unsupported/test/splines.cpp
  type Eigen (line 14) | namespace Eigen {
    class Spline<double, 2, Dynamic> (line 18) | class Spline<double, 2, Dynamic>
    class Spline<double, 3, Dynamic> (line 19) | class Spline<double, 3, Dynamic>
    class Spline<double, 2, 2> (line 21) | class Spline<double, 2, 2>
    class Spline<double, 2, 3> (line 22) | class Spline<double, 2, 3>
    class Spline<double, 2, 4> (line 23) | class Spline<double, 2, 4>
    class Spline<double, 2, 5> (line 24) | class Spline<double, 2, 5>
    class Spline<float, 2, Dynamic> (line 26) | class Spline<float, 2, Dynamic>
    class Spline<float, 3, Dynamic> (line 27) | class Spline<float, 3, Dynamic>
    class Spline<float, 3, 2> (line 29) | class Spline<float, 3, 2>
    class Spline<float, 3, 3> (line 30) | class Spline<float, 3, 3>
    class Spline<float, 3, 4> (line 31) | class Spline<float, 3, 4>
    class Spline<float, 3, 5> (line 32) | class Spline<float, 3, 5>
  function closed_spline2d (line 36) | Spline<double, 2, Dynamic> closed_spline2d()
  function spline3d (line 67) | Spline<double, 3, Dynamic> spline3d()
  function eval_spline3d (line 97) | void eval_spline3d()
  function eval_spline3d_onbrks (line 134) | void eval_spline3d_onbrks()
  function eval_closed_spline2d (line 161) | void eval_closed_spline2d()
  function check_global_interpolation2d (line 201) | void check_global_interpolation2d()
  function check_global_interpolation_with_derivatives2d (line 237) | void check_global_interpolation_with_derivatives2d()
  function EIGEN_DECLARE_TEST (line 271) | EIGEN_DECLARE_TEST(splines)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Cholesky/LDLT.h
  function namespace (line 16) | namespace Eigen {
  type SolverBase (line 64) | typedef SolverBase<LDLT> Base;
  function enum (line 67) | EIGEN_GENERIC_PUBLIC_INTERFACE(LDLT)
  type Matrix (line 73) | typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1>...
  type Transpositions (line 75) | typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> Transpos...
  type PermutationMatrix (line 76) | typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> Permu...
  type internal (line 78) | typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
  function setZero (line 143) | void setZero()
  function typename (line 149) | inline typename Traits::MatrixU matrixU() const
  function isNegative (line 185) | inline bool isNegative(void) const
  function MatrixType (line 234) | inline const MatrixType& matrixLDLT() const
  function namespace (line 293) | namespace internal {
  function Upper (line 460) | struct ldlt_inplace<Upper>
  type TriangularView (line 480) | typedef const TriangularView<const typename
  function MatrixL (line 481) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 482) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  type TriangularView (line 488) | typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
  function MatrixL (line 489) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 490) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  type typename (line 541) | typedef typename TranspositionType::StorageIndex IndexType;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Cholesky/LLT.h
  function namespace (line 13) | namespace Eigen {
  type SolverBase (line 71) | typedef SolverBase<LLT> Base;
  function enum (line 74) | EIGEN_GENERIC_PUBLIC_INTERFACE(LLT)
  type internal (line 85) | typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
  function explicit (line 101) | explicit LLT(Index size) : m_matrix(size, size),
  function typename (line 128) | inline typename Traits::MatrixU matrixU() const
  function MatrixType (line 177) | inline const MatrixType& matrixLLT() const
  function namespace (line 235) | namespace internal {
  type typename (line 379) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type TriangularView (line 404) | typedef const TriangularView<const typename
  function MatrixL (line 405) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 406) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  function inplace_decomposition (line 407) | static bool inplace_decomposition(MatrixType& m)
  type TriangularView (line 414) | typedef const TriangularView<const MatrixType, Upper> MatrixU;
  function MatrixL (line 415) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 416) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  function inplace_decomposition (line 417) | static bool inplace_decomposition(MatrixType& m)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Cholesky/LLT_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/CholmodSupport/CholmodSupport.h
  function namespace (line 13) | namespace Eigen {
  function cholmod_sparse (line 105) | cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>...
  function cholmod_sparse (line 112) | cholmod_sparse viewAsCholmod(const SparseVector<_Scalar,_Options,_Index>...
  type typename (line 140) | typedef typename Derived::Scalar Scalar;
  function namespace (line 165) | namespace internal {
  type CholmodMode (line 203) | enum CholmodMode {
  type typename (line 223) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 224) | typedef typename MatrixType::RealScalar RealScalar;
  type MatrixType (line 225) | typedef MatrixType CholMatrixType;
  type typename (line 226) | typedef typename MatrixType::StorageIndex StorageIndex;
  function StorageIndex (line 258) | inline StorageIndex cols() const { return internal::convert_index<Storag...
  function analyzePattern (line 286) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 308) | void factorize(const MatrixType& matrix)
  function Scalar (line 391) | Scalar determinant() const
  function Base (line 488) | CholmodSimplicialLLT(const MatrixType& matrix) : Base()
  function Base (line 539) | CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
  function Base (line 588) | CholmodSupernodalLLT(const MatrixType& matrix) : Base()
  function Base (line 639) | CholmodDecomposition(const MatrixType& matrix) : Base()
  function setMode (line 647) | void setMode(CholmodMode mode)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/ComplexEigenSolver.h
  function namespace (line 17) | namespace Eigen {
  function EigenvalueType (line 182) | const EigenvalueType& eigenvalues() const
  function Index (line 233) | Index getMaxIterations()

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/ComplexSchur.h
  function namespace (line 17) | namespace Eigen {
  function ComplexMatrixType (line 162) | const ComplexMatrixType& matrixT() const
  function Index (line 235) | Index getMaxIterations()
  function namespace (line 352) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/EigenSolver.h
  function namespace (line 16) | namespace Eigen {
  function EigenvalueType (line 244) | const EigenvalueType& eigenvalues() const
  function Index (line 295) | Index getMaxIterations()
  type Matrix (line 319) | typedef Matrix<Scalar, ColsAtCompileTime, 1, Options

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/HessenbergDecomposition.h
  function namespace (line 14) | namespace Eigen {
  function CoeffVectorType (line 179) | const CoeffVectorType& householderCoefficients() const
  type typename (line 271) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function namespace (line 322) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/RealQZ.h
  function namespace (line 13) | namespace Eigen {
  function MatrixType (line 142) | const MatrixType& matrixS() const {
  type Matrix (line 203) | typedef Matrix<Scalar,3,1> Vector3s;
  type Matrix (line 204) | typedef Matrix<Scalar,2,1> Vector2s;
  type Matrix (line 205) | typedef Matrix<Scalar,2,2> Matrix2s;
  type JacobiRotation (line 206) | typedef JacobiRotation<Scalar> JRs;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/RealSchur.h
  function namespace (line 16) | namespace Eigen {
  function MatrixType (line 144) | const MatrixType& matrixT() const
  function Index (line 213) | Index getMaxIterations()
  type Matrix (line 236) | typedef Matrix<Scalar,3,1> Vector3s;
  function typename (line 362) | typename MatrixType::Scalar RealSchur<MatrixType>::computeNormOfT()

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 386) | namespace internal {
  function namespace (line 485) | namespace internal {
  type typename (line 574) | typedef typename SolverType::RealVectorType VectorType;
  type typename (line 575) | typedef typename SolverType::Scalar Scalar;
  type typename (line 576) | typedef typename SolverType::EigenvectorsType EigenvectorsType;
  function EIGEN_DEVICE_FUNC (line 583) | EIGEN_DEVICE_FUNC
  type typename (line 733) | typedef typename SolverType::RealVectorType VectorType;
  type typename (line 734) | typedef typename SolverType::Scalar Scalar;
  type typename (line 735) | typedef typename SolverType::EigenvectorsType EigenvectorsType;
  function EIGEN_DEVICE_FUNC (line 737) | EIGEN_DEVICE_FUNC
  function namespace (line 823) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Eigenvalues/Tridiagonalization.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 322) | namespace internal {
  type typename (line 442) | typedef typename Tridiagonalization<MatrixType>::CoeffVectorType CoeffVe...
  type typename (line 443) | typedef typename Tridiagonalization<MatrixType>::HouseholderSequenceType...
  type typename (line 467) | typedef typename MatrixType::RealScalar RealScalar;
  function extractQ (line 516) | bool extractQ)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/AlignedBox.h
  function namespace (line 49) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 182) | EIGEN_DEVICE_FUNC inline VectorType corner(CornerType corner) const
  function EIGEN_DEVICE_FUNC (line 200) | EIGEN_DEVICE_FUNC inline VectorType sample() const
  function contains (line 218) | inline bool contains(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 225) | EIGEN_DEVICE_FUNC inline bool contains(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 230) | EIGEN_DEVICE_FUNC inline bool intersects(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 246) | EIGEN_DEVICE_FUNC inline AlignedBox& extend(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 256) | EIGEN_DEVICE_FUNC inline AlignedBox& clamp(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 266) | EIGEN_DEVICE_FUNC inline AlignedBox intersection(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 272) | EIGEN_DEVICE_FUNC inline AlignedBox merged(const AlignedBox& b) const
  function AlignedBox (line 287) | inline AlignedBox translated(const MatrixBase<Derived>& a_t) const
  function NonInteger (line 312) | inline NonInteger exteriorDistance(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 319) | EIGEN_DEVICE_FUNC inline NonInteger exteriorDistance(const AlignedBox& b...
  function transform (line 326) | inline void transform(
  function transform (line 339) | inline void transform(const Transform<Scalar, AmbientDimAtCompileTime, M...
  function AlignedBox (line 364) | AlignedBox transformed(const Transform<Scalar, AmbientDimAtCompileTime, ...
  function explicit (line 386) | inline explicit AlignedBox(const AlignedBox<OtherScalarType,AmbientDimAt...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/AngleAxis.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 139) | inline explicit AngleAxis(const AngleAxis<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 145) | EIGEN_DEVICE_FUNC static inline const AngleAxis Identity() { return Angl...
  function EIGEN_DEVICE_FUNC (line 151) | EIGEN_DEVICE_FUNC bool isApprox(const AngleAxis& other, const typename N...
  type AngleAxis (line 157) | typedef AngleAxis<float> AngleAxisf;
  type AngleAxis (line 160) | typedef AngleAxis<double> AngleAxisd;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/EulerAngles.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Homogeneous.h
  function namespace (line 13) | namespace Eigen {
  type MatrixBase (line 68) | typedef MatrixBase<Homogeneous> Base;
  function explicit (line 71) | explicit inline Homogeneous(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 299) | EIGEN_DEVICE_FUNC homogeneous_right_product_impl(const MatrixType& lhs, ...
  type HomogeneousShape (line 325) | typedef HomogeneousShape Shape;
  type AssignmentKind (line 328) | struct AssignmentKind
  type Dense2Dense (line 328) | typedef Dense2Dense Kind;
  type typename (line 336) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 337) | typedef evaluator<PlainObject> Base;
  function EIGEN_DEVICE_FUNC (line 339) | EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op)
  type Homogeneous (line 370) | typedef Homogeneous<ArgType,Horizontal> SrcXprType;
  type typename (line 400) | typedef typename Rhs::template
  type typename (line 401) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 402) | typedef typename Rhs::ConstRowXpr                                     Co...
  type Replicate (line 403) | typedef Replicate<const ConstantColumn,Rows,1>                        Co...
  type Product (line 404) | typedef Product<Lhs,LinearBlock,LazyProduct>                          Li...
  type CwiseBinaryOp (line 405) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_right_product_refactoring_helper (line 413) | typedef homogeneous_right_product_refactoring_helper<typename
  type typename (line 414) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 415) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 416) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 418) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  type typename (line 453) | typedef typename Lhs::template
  type typename (line 454) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 455) | typedef typename Lhs::ConstColXpr                                     Co...
  type Replicate (line 456) | typedef Replicate<const ConstantColumn,1,Cols>                        Co...
  type Product (line 457) | typedef Product<LinearBlock,Rhs,LazyProduct>                          Li...
  type CwiseBinaryOp (line 458) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_left_product_refactoring_helper (line 466) | typedef homogeneous_left_product_refactoring_helper<Lhs,typename
  type typename (line 467) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 468) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 469) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 471) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  function evalTo (line 482) | static void evalTo(Dest& dst, const TransformType& lhs, const Homogeneou...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Hyperplane.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/OrthoMethods.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 51) | namespace internal {
  type typename (line 88) | typedef typename internal::nested_eval<Derived,2>::type DerivedNested;
  type typename (line 89) | typedef typename internal::nested_eval<OtherDerived,2>::type OtherDerive...
  function namespace (line 138) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/ParametrizedLine.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Quaternion.h
  function namespace (line 13) | namespace Eigen {
  type _Scalar (line 279) | typedef _Scalar Scalar;
  type typename (line 284) | typedef typename internal::traits<Quaternion>::Coefficients Coefficients;
  type typename (line 285) | typedef typename Base::AngleAxisType AngleAxisType;
  function EIGEN_DEVICE_FUNC (line 288) | EIGEN_DEVICE_FUNC inline Quaternion() {}
  function EIGEN_DEVICE_FUNC (line 297) | EIGEN_DEVICE_FUNC inline Quaternion(const Scalar& w, const Scalar& x, co...
  function EIGEN_DEVICE_FUNC (line 300) | EIGEN_DEVICE_FUNC explicit inline Quaternion(const Scalar* data) : m_coe...
  function EIGEN_STRONG_INLINE (line 303) | EIGEN_STRONG_INLINE Quaternion(const QuaternionBase<Derived>& other) { t...
  function explicit (line 313) | explicit inline Quaternion(const MatrixBase<Derived>& other) { *this = o...
  function explicit (line 317) | explicit inline Quaternion(const Quaternion<OtherScalar, OtherOptions>& ...
  function EIGEN_DEVICE_FUNC (line 323) | EIGEN_DEVICE_FUNC inline Quaternion(Quaternion&& other) EIGEN_NOEXCEPT_I...
  function EIGEN_DEVICE_FUNC (line 340) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs;}
  function EIGEN_STRONG_INLINE (line 353) | static EIGEN_STRONG_INLINE void _check_template_params()
  type Quaternion (line 363) | typedef Quaternion<float> Quaternionf;
  type Quaternion (line 366) | typedef Quaternion<double> Quaterniond;
  function namespace (line 372) | namespace internal {
  function namespace (line 380) | namespace internal {
  type _Scalar (line 410) | typedef _Scalar Scalar;
  type typename (line 411) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 421) | EIGEN_STRONG_INLINE Map(const Scalar* coeffs) : m_coeffs(coeffs) {}
  type _Scalar (line 447) | typedef _Scalar Scalar;
  type typename (line 448) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 458) | EIGEN_STRONG_INLINE Map(Scalar* coeffs) : m_coeffs(coeffs) {}
  function EIGEN_DEVICE_FUNC (line 460) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs; }
  type Map (line 469) | typedef Map<Quaternion<float>, 0>         QuaternionMapf;
  type Map (line 472) | typedef Map<Quaternion<double>, 0>        QuaternionMapd;
  type Map (line 475) | typedef Map<Quaternion<float>, Aligned>   QuaternionMapAlignedf;
  type Map (line 478) | typedef Map<Quaternion<double>, Aligned>  QuaternionMapAlignedd;
  function namespace (line 486) | namespace internal {
  function typename (line 591) | inline typename QuaternionBase<Derived>::Matrix3
  function namespace (line 734) | namespace internal {
  function typename (line 763) | inline typename internal::traits<Derived>::Scalar
  function namespace (line 812) | namespace internal {
  function run (line 860) | static inline void run(QuaternionBase<Derived>& q, const Other& vec)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Rotation2D.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 147) | inline explicit Rotation2D(const Rotation2D<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 152) | EIGEN_DEVICE_FUNC static inline Rotation2D Identity() { return Rotation2...
  function EIGEN_DEVICE_FUNC (line 158) | EIGEN_DEVICE_FUNC bool isApprox(const Rotation2D& other, const typename ...
  type Rotation2D (line 165) | typedef Rotation2D<float> Rotation2Df;
  type Rotation2D (line 168) | typedef Rotation2D<double> Rotation2Dd;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/RotationBase.h
  function namespace (line 13) | namespace Eigen {
  function VectorType (line 93) | inline VectorType _transformVector(const OtherVectorType& v) const
  function namespace (line 97) | namespace internal {
  function EIGEN_DEVICE_FUNC (line 113) | EIGEN_DEVICE_FUNC static inline ReturnType run(const RotationDerived& r,...
  type Matrix (line 125) | typedef Matrix<typename
  function ReturnType (line 126) | ReturnType run(const RotationDerived& r, const OtherVectorType& v)
  function namespace (line 161) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Scaling.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Transform.h
  function namespace (line 15) | namespace Eigen {
  type _Scalar (line 216) | typedef _Scalar Scalar;
  type Eigen (line 217) | typedef Eigen::Index StorageIndex;
  type Eigen (line 218) | typedef Eigen::Index Index;
  type typename (line 220) | typedef typename internal::make_proper_matrix_type<Scalar,Rows,HDim,Opti...
  type MatrixType (line 222) | typedef const MatrixType ConstMatrixType;
  type Matrix (line 224) | typedef Matrix<Scalar,Dim,Dim,Options> LinearMatrixType;
  type Block (line 226) | typedef Block<MatrixType,Dim,Dim,int(Mode)==(AffineCompact) && (int(Opti...
  type Block (line 228) | typedef const Block<ConstMatrixType,Dim,Dim,int(Mode)==(AffineCompact) &...
  type typename (line 230) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type typename (line 234) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type Matrix (line 238) | typedef Matrix<Scalar,Dim,1> VectorType;
  type Block (line 240) | typedef Block<MatrixType,Dim,1,!(internal::traits<MatrixType>::Flags & R...
  type Block (line 242) | typedef const Block<ConstMatrixType,Dim,1,!(internal::traits<MatrixType>...
  type Translation (line 244) | typedef Translation<Scalar,Dim> TranslationType;
  type Transform (line 249) | typedef Transform<Scalar,Dim,TransformTimeDiagonalMode> TransformTimeDia...
  function EIGEN_DEVICE_FUNC (line 265) | EIGEN_DEVICE_FUNC inline explicit Transform(const TranslationType& t)
  function EIGEN_DEVICE_FUNC (line 270) | EIGEN_DEVICE_FUNC inline explicit Transform(const UniformScaling<Scalar>...
  function explicit (line 276) | inline explicit Transform(const RotationBase<Derived, Dim>& r)
  type internal (line 282) | typedef internal::transform_take_affine_part<Transform> take_affine_part;
  function explicit (line 286) | inline explicit Transform(const EigenBase<OtherDerived>& other)
  type typename (line 342) | typedef typename Transform<Scalar,Dim,OtherMode,OtherOptions>::MatrixTyp...
  function EIGEN_DEVICE_FUNC (line 383) | EIGEN_DEVICE_FUNC inline Scalar operator() (Index row, Index col) const ...
  function EIGEN_DEVICE_FUNC (line 386) | EIGEN_DEVICE_FUNC inline Scalar& operator() (Index row, Index col) { ret...
  function EIGEN_DEVICE_FUNC (line 391) | EIGEN_DEVICE_FUNC inline MatrixType& matrix() { return m_matrix; }
  function EIGEN_DEVICE_FUNC (line 396) | EIGEN_DEVICE_FUNC inline LinearPart linear() { return LinearPart(m_matri...
  function EIGEN_DEVICE_FUNC (line 399) | EIGEN_DEVICE_FUNC inline ConstAffinePart affine() const { return take_af...
  type internal (line 503) | typedef internal::transform_transform_product_impl<Transform,Transform<S...
  type typename (line 504) | typedef typename ProductType::ResultType ResultType;
  type typename (line 513) | typedef typename icc_11_workaround<OtherMode,OtherOptions>::ProductType ...
  function EIGEN_DEVICE_FUNC (line 527) | EIGEN_DEVICE_FUNC void setIdentity() { m_matrix.setIdentity(); }
  function EIGEN_DEVICE_FUNC (line 533) | EIGEN_DEVICE_FUNC static const Transform Identity()
  type typename (line 599) | typedef typename internal::conditional<int(Mode)==Isometry,ConstLinearPa...
  function Scalar (line 618) | const Scalar* data() const { return m_matrix.data(); }
  function EIGEN_DEVICE_FUNC (line 620) | EIGEN_DEVICE_FUNC Scalar* data() { return m_matrix.data(); }
  function explicit (line 633) | inline explicit Transform(const Transform<OtherScalarType,Dim,Mode,Optio...
  function EIGEN_DEVICE_FUNC (line 643) | EIGEN_DEVICE_FUNC bool isApprox(const Transform& other, const typename N...
  function EIGEN_DEVICE_FUNC (line 648) | EIGEN_DEVICE_FUNC void makeAffine()
  function check_template_params (line 686) | void check_template_params()
  function else (line 913) | else
  function namespace (line 1045) | namespace internal {
  function namespace (line 1161) | namespace internal {
  function namespace (line 1252) | namespace internal {
  function MatrixType (line 1272) | static inline const MatrixType& run(const MatrixType& m) { return m; }
  function ResultType (line 1336) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1352) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1354) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1378) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1380) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1403) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1405) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1425) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1426) | typedef Transform<typename
  function ResultType (line 1427) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1436) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1437) | typedef Transform<typename
  function ResultType (line 1438) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1452) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1453) | typedef TransformType ResultType;
  function ResultType (line 1454) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1468) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1469) | typedef TransformType ResultType;
  function ResultType (line 1470) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1484) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1485) | typedef TransformType ResultType;
  function ResultType (line 1486) | static ResultType run(const Other& other, const TransformType& tr)
  type Transform (line 1505) | typedef Transform<Scalar,Dim,LhsMode,LhsOptions> Lhs;
  type Transform (line 1506) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1507) | typedef Transform<Scalar,Dim,ResultMode,LhsOptions> ResultType;
  function ResultType (line 1508) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1522) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1523) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1524) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1534) | typedef Transform<Scalar,Dim,Projective,RhsOptions> Rhs;
  type Transform (line 1535) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1536) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1549) | typedef Transform<Scalar,Dim,AffineCompact,RhsOptions> Rhs;
  type Transform (line 1550) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1551) | static ResultType run(const Lhs& lhs, const Rhs& rhs)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Translation.h
  function namespace (line 13) | namespace Eigen {
  function explicit (line 154) | inline explicit Translation(const Translation<OtherScalarType,Dim>& other)
  function EIGEN_DEVICE_FUNC (line 161) | EIGEN_DEVICE_FUNC bool isApprox(const Translation& other, const typename...
  type Translation (line 168) | typedef Translation<float, 2> Translation2f;
  type Translation (line 169) | typedef Translation<double,2> Translation2d;
  type Translation (line 170) | typedef Translation<float, 3> Translation3f;
  type Translation (line 171) | typedef Translation<double,3> Translation3d;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/Umeyama.h
  function namespace (line 26) | namespace internal {
  type typename (line 97) | typedef typename internal::umeyama_transform_matrix_type<Derived, OtherD...
  type typename (line 98) | typedef typename internal::traits<TransformationMatrixType>::Scalar Scalar;
  type typename (line 99) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function EIGEN_STATIC_ASSERT (line 102) | EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename internal::traits...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Geometry/arch/Geometry_SIMD.h
  function namespace (line 14) | namespace Eigen {
  function Quaternion (line 99) | static inline Quaternion<double> run(const QuaternionBase<Derived>& _a, ...
  function Quaternion (line 145) | static inline Quaternion<double> run(const QuaternionBase<Derived>& q)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Householder/BlockHouseholder.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Householder/Householder.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Householder/HouseholderSequence.h
  function namespace (line 14) | namespace Eigen {
  type Block (line 88) | typedef Block<const VectorsType, Dynamic, 1> EssentialVectorType;
  type HouseholderSequence (line 89) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheLeft> Househol...
  type HouseholderSequence (line 101) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheRight> Househo...
  function EssentialVectorType (line 102) | static inline const EssentialVectorType essentialVector(const Householde...
  type typename (line 111) | typedef typename ScalarBinaryOpTraits<OtherScalarType, typename
  type Matrix (line 113) | typedef Matrix<ResultScalar, MatrixType::RowsAtCompileTime, MatrixType::...
  type typename (line 131) | typedef typename internal::traits<HouseholderSequence>::Scalar Scalar;
  type HouseholderSequence (line 133) | typedef HouseholderSequence<
  type HouseholderSequence (line 143) | typedef HouseholderSequence<
  type HouseholderSequence (line 151) | typedef HouseholderSequence<
  type HouseholderSequence (line 159) | typedef HouseholderSequence<
  function EIGEN_DEVICE_FUNC (line 228) | EIGEN_DEVICE_FUNC
  function evalTo (line 280) | void evalTo(DestType& dst) const
  type Block (line 385) | typedef Block<typename
  type internal (line 431) | struct internal
  function EIGEN_DEVICE_FUNC (line 442) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 460) | EIGEN_DEVICE_FUNC

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h
  function namespace (line 13) | namespace Eigen {
  type _Scalar (line 130) | typedef _Scalar Scalar;
  type typename (line 131) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type DiagonalPreconditioner (line 132) | typedef DiagonalPreconditioner<_Scalar> Base;
  function Base (line 139) | LeastSquareDiagonalPreconditioner(const MatType& mat) : Base()
  function ComputationInfo (line 188) | ComputationInfo info() { return Success; }

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 168) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 169) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 170) | typedef _Preconditioner Preconditioner;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 168) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 169) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 170) | typedef _Preconditioner Preconditioner;
  type typename (line 200) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 201) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 208) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 210) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 151) | typedef typename internal::traits<Derived>::Preconditioner Preconditioner;
  type typename (line 152) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 153) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 154) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 341) | typedef typename DestDerived::Scalar DestScalar;
  type internal (line 416) | typedef internal::generic_matrix_wrapper<MatrixType> MatrixWrapper;
  type typename (line 417) | typedef typename MatrixWrapper::ActualMatrixType ActualMatrixType;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 159) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 160) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 161) | typedef _Preconditioner Preconditioner;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 70) | namespace internal {
  type SolveWithGuess (line 98) | typedef SolveWithGuess<DecType,RhsType,GuessType> SrcXprType;
  function run (line 99) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/Jacobi/Jacobi.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 274) | namespace internal {
  function applyOnTheLeft (line 295) | inline void MatrixBase<Derived>::applyOnTheLeft(Index p, Index q, const ...
  function applyOnTheRight (line 311) | inline void MatrixBase<Derived>::applyOnTheRight(Index p, Index q, const...
  function namespace (line 318) | namespace internal {
  function apply_rotation_in_the_plane (line 453) | void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/KLUSupport/KLUSupport.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/Determinant.h
  function namespace (line 15) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/FullPivLU.h
  function namespace (line 13) | namespace Eigen {
  function MatrixType (line 405) | MatrixType reconstructedMatrix() const;
  type internal (line 514) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 515) | typedef typename Scoring::result_type Score;
  function namespace (line 613) | namespace internal {
  function namespace (line 842) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/InverseImpl.h
  function namespace (line 14) | namespace Eigen {
  function compute_inverse_size2_helper (line 76) | inline void compute_inverse_size2_helper(
  function run (line 90) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 102) | static inline void run(
  function typename (line 126) | inline typename MatrixType::Scalar cofactor_3x3(const MatrixType& m)
  function compute_inverse_size3_helper (line 140) | inline void compute_inverse_size3_helper(
  function run (line 159) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 176) | static inline void run(
  function typename (line 204) | inline const typename Derived::Scalar general_det3_helper
  function typename (line 213) | inline typename MatrixType::Scalar cofactor_4x4(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 231) | EIGEN_DEVICE_FUNC
  function run (line 265) | static inline void run(
  function namespace (line 286) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/PartialPivLU.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 572) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/PartialPivLU_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/LU/arch/InverseSize4.h
  function namespace (line 38) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/MetisSupport/MetisSupport.h
  function namespace (line 12) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/OrderingMethods/Amd.h
  function namespace (line 24) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/OrderingMethods/Eigen_Colamd.h
  function namespace (line 50) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/OrderingMethods/Ordering.h
  function namespace (line 14) | namespace Eigen {
  type Matrix (line 118) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/PaStiXSupport/PaStiXSupport.h
  function namespace (line 13) | namespace Eigen {
  function eigen_pastix (line 67) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 74) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 81) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 88) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  type typename (line 137) | typedef typename internal::pastix_traits<Derived>::MatrixType _MatrixType;
  type _MatrixType (line 138) | typedef _MatrixType MatrixType;
  type typename (line 139) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 140) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 141) | typedef typename MatrixType::StorageIndex StorageIndex;
  type Matrix (line 142) | typedef Matrix<Scalar,Dynamic,1> Vector;
  type SparseMatrix (line 143) | typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
  function iparm (line 178) | int& iparm(int idxparam)
  function dparm (line 196) | double& dparm(int idxparam)
  function clean (line 230) | void clean()
  type PastixBase (line 416) | typedef PastixBase<PastixLU<MatrixType> > Base;
  type typename (line 417) | typedef typename Base::ColSpMatrix ColSpMatrix;
  type typename (line 418) | typedef typename MatrixType::StorageIndex StorageIndex;
  function explicit (line 426) | explicit PastixLU(const MatrixType& matrix):Base()
  function compute (line 436) | void compute (const MatrixType& matrix)
  function analyzePattern (line 448) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 461) | void factorize(const MatrixType& matrix)
  function grabMatrix (line 476) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 528) | typedef PastixBase<PastixLLT<MatrixType, _UpLo> > Base;
  type typename (line 529) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 538) | explicit PastixLLT(const MatrixType& matrix):Base()
  function compute (line 547) | void compute (const MatrixType& matrix)
  function analyzePattern (line 558) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 567) | void factorize(const MatrixType& matrix)
  function init (line 576) | void init()
  function grabMatrix (line 582) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 612) | typedef PastixBase<PastixLDLT<MatrixType, _UpLo> > Base;
  type typename (line 613) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 622) | explicit PastixLDLT(const MatrixType& matrix):Base()
  function compute (line 631) | void compute (const MatrixType& matrix)
  function analyzePattern (line 642) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 651) | void factorize(const MatrixType& matrix)
  function init (line 661) | void init()
  function grabMatrix (line 667) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/PardisoSupport/PardisoSupport.h
  function namespace (line 35) | namespace Eigen {
  type internal (line 106) | typedef internal::pardiso_traits<Derived> Traits;
  type typename (line 110) | typedef typename Traits::MatrixType MatrixType;
  type typename (line 111) | typedef typename Traits::Scalar Scalar;
  type typename (line 112) | typedef typename Traits::RealScalar RealScalar;
  type typename (line 113) | typedef typename Traits::StorageIndex StorageIndex;
  type SparseMatrix (line 114) | typedef SparseMatrix<Scalar,RowMajor,StorageIndex> SparseMatrixType;
  type Matrix (line 115) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type Matrix (line 116) | typedef Matrix<StorageIndex, 1, MatrixType::ColsAtCompileTime> IntRowVec...
  type Matrix (line 117) | typedef Matrix<StorageIndex, MatrixType::RowsAtCompileTime, 1> IntColVec...
  function pardisoInit (line 193) | void pardisoInit(int type)
  type typename (line 396) | typedef typename Base::RealScalar RealScalar;
  function explicit (line 407) | explicit PardisoLU(const MatrixType& matrix)
  type typename (line 452) | typedef typename Base::RealScalar RealScalar;
  type typename (line 453) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 463) | explicit PardisoLLT(const MatrixType& matrix)
  type typename (line 515) | typedef typename Base::RealScalar RealScalar;
  type typename (line 516) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 526) | explicit PardisoLDLT(const MatrixType& matrix)
  function getMatrix (line 533) | void getMatrix(const MatrixType& matrix)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/ColPivHouseholderQR.h
  function namespace (line 14) | namespace Eigen {
  function isSurjective (line 298) | inline bool isSurjective() const
  function Inverse (line 321) | inline const Inverse<ColPivHouseholderQR> inverse() const
  function Index (line 394) | inline Index nonzeroPivots() const
  function check_template_parameters (line 429) | static void check_template_parameters()
  function namespace (line 635) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h
  function namespace (line 37) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/CompleteOrthogonalDecomposition.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 593) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/FullPivHouseholderQR.h
  function namespace (line 14) | namespace Eigen {
  function isSurjective (line 289) | inline bool isSurjective() const
  function Inverse (line 312) | inline const Inverse<FullPivHouseholderQR> inverse() const
  function Index (line 385) | inline Index nonzeroPivots() const
  type internal (line 487) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 488) | typedef typename Scoring::result_type Score;
  function namespace (line 613) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/HouseholderQR.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 263) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/QR/HouseholderQR_LAPACKE.h
  function namespace (line 37) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 67) | typedef typename _MatrixType::RealScalar RealScalar;
  type SuiteSparse_long (line 68) | typedef SuiteSparse_long StorageIndex ;
  type SparseMatrix (line 69) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex> MatrixType;
  type Map (line 70) | typedef Map<PermutationMatrix<Dynamic, Dynamic, StorageIndex> > Permutat...
  function SPQR_free (line 116) | void SPQR_free()
  function compute (line 125) | void compute(const _MatrixType& matrix)
  function setSPQROrdering (line 231) | void setSPQROrdering(int ord) { m_ordering = ord;}
  function setPivotThreshold (line 233) | void setPivotThreshold(const RealScalar& tol)
  function cholmod_common (line 240) | cholmod_common *cholmodCommon() const { return &m_cc; }
  type SPQR_QProduct (line 271) | struct SPQR_QProduct
  type typename (line 277) | typedef typename SPQRType::Scalar Scalar;
  type typename (line 278) | typedef typename SPQRType::StorageIndex StorageIndex;
  function m_spqr (line 305) | SPQRMatrixQReturnType(const SPQRType& spqr) : m_spqr(spqr) {}
  function m_spqr (line 325) | SPQRMatrixQTransposeReturnType(const SPQRType& spqr) : m_spqr(spqr) {}

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SVD/BDCSVD.h
  function namespace (line 30) | namespace Eigen {
  function setSwitchSize (line 173) | void setSwitchSize(int s)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SVD/JacobiSVD.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 108) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 119) | typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, TrOptions, ...
  function allocate (line 122) | void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditi...
  function run (line 133) | bool run(JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd,...
  function allocate (line 159) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 170) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  type typename (line 198) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 210) | typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, TrOptions, ...
  function allocate (line 213) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 225) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  function allocate (line 258) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 269) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 296) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 306) | typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, Options, Ma...
  function allocate (line 309) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 321) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 357) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 358) | static bool run(typename SVD::WorkMatrixType&, SVD&, Index, Index, RealS...
  type typename (line 365) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 366) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 367) | static bool run(typename SVD::WorkMatrixType& work_matrix, SVD& svd, Ind...
  type typename (line 495) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 496) | typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
  type typename (line 507) | typedef typename Base::MatrixUType MatrixUType;
  type typename (line 508) | typedef typename Base::MatrixVType MatrixVType;
  type typename (line 509) | typedef typename Base::SingularValuesType SingularValuesType;
  type typename (line 511) | typedef typename internal::plain_row_type<MatrixType>::type RowType;
  type typename (line 512) | typedef typename internal::plain_col_type<MatrixType>::type ColType;
  type Matrix (line 513) | typedef Matrix<Scalar, DiagSizeAtCompileTime, DiagSizeAtCompileTime,
  type internal (line 604) | struct internal
  type internal (line 606) | struct internal

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SVD/JacobiSVD_LAPACKE.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SVD/SVDBase.h
  function namespace (line 19) | namespace Eigen {
  function SingularValuesType (line 126) | const SingularValuesType& singularValues() const
  function Index (line 145) | inline Index rank() const

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SVD/UpperBidiagonalization.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCholesky/SimplicialCholesky.h
  function namespace (line 13) | namespace Eigen {
  function analyzePattern (line 238) | void analyzePattern(const MatrixType& a, bool doLDLT)
  type keep_diag (line 252) | struct keep_diag {
  function namespace (line 278) | namespace internal {
  type _Ordering (line 297) | typedef _Ordering OrderingType;
  type typename (line 299) | typedef typename MatrixType::Scalar                             Scalar;
  type typename (line 300) | typedef typename MatrixType::StorageIndex                       StorageI...
  type SparseMatrix (line 301) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex>            CholMatr...
  type TriangularView (line 302) | typedef TriangularView<const CholMatrixType, Eigen::UnitLower>  MatrixL;
  type TriangularView (line 303) | typedef TriangularView<const typename
  function MatrixL (line 304) | static inline MatrixL getL(const CholMatrixType& m) { return MatrixL(m); }
  function MatrixU (line 305) | static inline MatrixU getU(const CholMatrixType& m) { return MatrixU(m.a...
  type _Ordering (line 311) | typedef _Ordering OrderingType;
  type _MatrixType (line 341) | typedef _MatrixType MatrixType;
  type SimplicialCholeskyBase (line 343) | typedef SimplicialCholeskyBase<SimplicialLLT> Base;
  type typename (line 344) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 345) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 346) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 347) | typedef SparseMatrix<Scalar,ColMajor,Index> CholMatrixType;
  type Matrix (line 348) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 349) | typedef internal::traits<SimplicialLLT> Traits;
  type typename (line 350) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 351) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 356) | explicit SimplicialLLT(const MatrixType& matrix)
  function analyzePattern (line 384) | void analyzePattern(const MatrixType& a)
  function factorize (line 395) | void factorize(const MatrixType& a)
  type _MatrixType (line 432) | typedef _MatrixType MatrixType;
  type SimplicialCholeskyBase (line 434) | typedef SimplicialCholeskyBase<SimplicialLDLT> Base;
  type typename (line 435) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 436) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 437) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 438) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
  type Matrix (line 439) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 440) | typedef internal::traits<SimplicialLDLT> Traits;
  type typename (line 441) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 442) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 448) | explicit SimplicialLDLT(const MatrixType& matrix)
  function MatrixU (line 463) | inline const MatrixU matrixU() const {
  function analyzePattern (line 481) | void analyzePattern(const MatrixType& a)
  function factorize (line 492) | void factorize(const MatrixType& a)
  function Scalar (line 498) | Scalar determinant() const
  function VectorType (line 551) | inline const VectorType vectorD() const {
  function analyzePattern (line 576) | void analyzePattern(const MatrixType& a)
  function factorize (line 587) | void factorize(const MatrixType& a)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h
  function namespace (line 23) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/AmbiVector.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 288) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_vector (line 297) | m_vector(vec)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/CompressedStorage.h
  function namespace (line 13) | namespace Eigen {
  function append (line 101) | void append(const Scalar& v, Index i)
  function clear (line 111) | inline void clear() { m_size = 0; }
  function Scalar (line 113) | const Scalar* valuePtr() const { return m_values; }
  function Scalar (line 114) | Scalar* valuePtr() { return m_values; }
  function StorageIndex (line 115) | const StorageIndex* indexPtr() const { return m_indices; }
  function StorageIndex (line 116) | StorageIndex* indexPtr() { return m_indices; }
  function Scalar (line 118) | inline Scalar& value(Index i) { eigen_internal_assert(m_values!=0); retu...
  function Scalar (line 119) | inline const Scalar& value(Index i) const { eigen_internal_assert(m_valu...
  function StorageIndex (line 121) | inline StorageIndex& index(Index i) { eigen_internal_assert(m_indices!=0...
  function StorageIndex (line 122) | inline const StorageIndex& index(Index i) const { eigen_internal_assert(...
  function Index (line 125) | inline Index searchLowerIndex(Index key) const
  function Index (line 131) | inline Index searchLowerIndex(Index start, Index end, Index key) const
  function moveChunk (line 210) | void moveChunk(Index from, Index to, Index chunkSize)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 125) | namespace internal {
  type SparseMatrix (line 172) | typedef SparseMatrix<typename
  type SparseMatrix (line 186) | typedef SparseMatrix<typename
  function run (line 212) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
  type SparseMatrix (line 227) | typedef SparseMatrix<typename
  type SparseMatrix (line 241) | typedef SparseMatrix<typename
  type SparseMatrix (line 255) | typedef SparseMatrix<typename
  function namespace (line 267) | namespace internal {
  function namespace (line 299) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/MappedSparseMatrix.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 50) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseAssign.h
  function namespace (line 13) | namespace Eigen {
  function run (line 162) | void run(DstXprType &dst, const SrcXprType &src, const InitialFunc& /*fu...
  type Solve (line 228) | typedef Solve<DecType,RhsType> SrcXprType;
  function run (line 229) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type Diagonal2Sparse (line 240) | struct Diagonal2Sparse {}
  type AssignmentKind (line 242) | struct AssignmentKind
  type Diagonal2Sparse (line 242) | typedef Diagonal2Sparse Kind;
  type typename (line 248) | typedef typename DstXprType::Scalar Scalar;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseBlock.h
  function namespace (line 13) | namespace Eigen {
  function Scalar (line 54) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 59) | inline const Scalar coeff(Index index) const
  function XprType (line 65) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 93) | namespace internal {
  type SparseMatrix (line 292) | typedef SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatrixType;
  type internal (line 293) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 294) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 298) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrix (line 311) | typedef const SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatri...
  type internal (line 312) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 313) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 317) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrixBase (line 337) | typedef SparseMatrixBase<BlockType> Base;
  function Scalar (line 364) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 369) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 374) | inline Scalar& coeffRef(Index index)
  function Scalar (line 380) | inline const Scalar coeff(Index index) const
  function XprType (line 387) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 417) | namespace internal {
  function public (line 468) | public EvalIterator
  type evaluator (line 553) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 554) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}
  type evaluator (line 562) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 563) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseColEtree.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseCompressedBase.h
  function namespace (line 13) | namespace Eigen {
  function Scalar (line 220) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id]); }
  type internal (line 232) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  function Scalar (line 288) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id-1]); }
  type internal (line 300) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  type typename (line 312) | typedef typename Derived::Scalar Scalar;
  type typename (line 313) | typedef typename Derived::InnerIterator InnerIterator;
  function explicit (line 324) | explicit evaluator(const Derived &mat) : m_matrix(&mat), m_zero(0)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseCwiseBinaryOp.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 53) | namespace internal {
  type CwiseBinaryOp (line 159) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 160) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 161) | typedef typename XprType::StorageIndex StorageIndex;
  type CwiseBinaryOp (line 246) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 247) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 248) | typedef typename XprType::StorageIndex StorageIndex;
  type sparse_conjunction_evaluator (line 338) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 339) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 347) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 348) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 356) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 357) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 366) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 367) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 376) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 377) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 385) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 386) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 394) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 395) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type typename (line 405) | typedef typename XprType::Lhs LhsArg;
  type typename (line 406) | typedef typename XprType::Rhs RhsArg;
  type typename (line 407) | typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
  type typename (line 408) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 409) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 410) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 490) | typedef typename XprType::Lhs LhsArg;
  type typename (line 491) | typedef typename XprType::Rhs RhsArg;
  type evaluator (line 492) | typedef evaluator<LhsArg> LhsEvaluator;
  type typename (line 493) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 494) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 495) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 563) | typedef typename XprType::Lhs LhsArg;
  type typename (line 564) | typedef typename XprType::Rhs RhsArg;
  type typename (line 565) | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
  type evaluator (line 566) | typedef evaluator<RhsArg> RhsEvaluator;
  type typename (line 567) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 568) | typedef typename traits<XprType>::Scalar Scalar;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseCwiseUnaryOp.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 128) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
  type typename (line 140) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseDenseProduct.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 176) | namespace internal {
  type typename (line 209) | typedef typename nested_eval<Lhs,((Rhs::Flags&RowMajorBit)==0) ? Dynamic...
  type typename (line 210) | typedef typename nested_eval<Rhs,((Lhs::Flags&RowMajorBit)==RowMajorBit)...
  type typename (line 230) | typedef typename conditional<NeedToTranspose,LhsT,RhsT>::type ActualRhs;
  type Product (line 231) | typedef Product<LhsT,RhsT,DefaultProduct> ProdXprType;
  type typename (line 235) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type typename (line 237) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type evaluator (line 240) | typedef evaluator<ActualLhs> LhsEval;
  type evaluator (line 241) | typedef evaluator<ActualRhs> RhsEval;
  type typename (line 242) | typedef typename evaluator<ActualLhs>::InnerIterator LhsIterator;
  type typename (line 243) | typedef typename ProdXprType::Scalar Scalar;
  function class (line 251) | class InnerIterator : public LhsIterator
  type sparse_dense_outer_product_evaluator (line 312) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Lhs::IsRowMajor> B...
  type Product (line 314) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 315) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 317) | explicit product_evaluator(const XprType& xpr)
  type sparse_dense_outer_product_evaluator (line 327) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Rhs::IsRowMajor> B...
  type Product (line 329) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 330) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 332) | explicit product_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseDiagonalProduct.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 96) | typedef typename SparseXprType::StorageIndex StorageIndex;
  type typename (line 98) | typedef typename nested_eval<DiagCoeffType,SparseXprType::IsRowMajor ? S...
  function class (line 101) | class InnerIterator

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseDot.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseFuzzy.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseMap.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 55) | typedef typename Base::Scalar Scalar;
  type typename (line 56) | typedef typename Base::StorageIndex StorageIndex;
  type typename (line 64) | typedef typename internal::conditional<
  function Scalar (line 95) | inline const Scalar* valuePtr() const { return m_values; }
  function StorageIndex (line 97) | inline const StorageIndex* innerIndexPtr() const { return m_innerIndices; }
  function StorageIndex (line 99) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 101) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function Scalar (line 105) | inline Scalar coeff(Index row, Index col) const
  type typename (line 155) | typedef typename Base::Scalar Scalar;
  type typename (line 156) | typedef typename Base::StorageIndex StorageIndex;
  function Scalar (line 170) | inline Scalar* valuePtr()              { return Base::m_values; }
  function StorageIndex (line 172) | inline StorageIndex* innerIndexPtr()   { return Base::m_innerIndices; }
  function StorageIndex (line 174) | inline StorageIndex* outerIndexPtr()   { return Base::m_outerIndex; }
  function StorageIndex (line 176) | inline StorageIndex* innerNonZeroPtr() { return Base::m_innerNonZeros; }
  function Scalar (line 180) | inline Scalar& coeffRef(Index row, Index col)
  function enum (line 260) | EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
  function namespace (line 279) | namespace internal {
  type Map (line 296) | typedef Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 298) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseMatrix.h
  function namespace (line 13) | namespace Eigen {
  type internal (line 103) | struct internal
  type MappedSparseMatrix (line 111) | typedef MappedSparseMatrix<Scalar,Flags> Map;
  type Diagonal (line 112) | typedef Diagonal<SparseMatrix> DiagonalReturnType;
  type Diagonal (line 113) | typedef Diagonal<const SparseMatrix> ConstDiagonalReturnType;
  type typename (line 114) | typedef typename Base::InnerIterator InnerIterator;
  type typename (line 115) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  type internal (line 119) | typedef internal::CompressedStorage<Scalar,StorageIndex> Storage;
  type typename (line 124) | typedef typename Base::IndexVector IndexVector;
  type typename (line 125) | typedef typename Base::ScalarVector ScalarVector;
  function Scalar (line 150) | inline const Scalar* valuePtr() const { return m_data.valuePtr(); }
  function Scalar (line 154) | inline Scalar* valuePtr() { return m_data.valuePtr(); }
  function StorageIndex (line 159) | inline const StorageIndex* innerIndexPtr() const { return m_data.indexPt...
  function StorageIndex (line 163) | inline StorageIndex* innerIndexPtr() { return m_data.indexPtr(); }
  function StorageIndex (line 168) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 172) | inline StorageIndex* outerIndexPtr() { return m_outerIndex; }
  function StorageIndex (line 177) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function StorageIndex (line 181) | inline StorageIndex* innerNonZeroPtr() { return m_innerNonZeros; }
  function Storage (line 184) | inline Storage& data() { return m_data; }
  function Scalar (line 190) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 208) | inline Scalar& coeffRef(Index row, Index col)
  function reserve (line 264) | inline void reserve(Index reserveSize)
  function reserveInnerVectors (line 299) | void reserveInnerVectors(const SizesType& reserveSizes)
  function Scalar (line 393) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 405) | inline Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)
  function startVec (line 415) | inline void startVec(Index outer)
  function finalize (line 425) | inline void finalize()
  function sumupDuplicates (line 451) | void sumupDuplicates() { collapseDuplicates(internal::scalar_sum_op<Scal...
  function makeCompressed (line 467) | void makeCompressed()
  function uncompress (line 498) | void uncompress()
  function conservativeResize (line 556) | void conservativeResize(Index rows, Index cols)
  function resize (line 626) | void resize(Index rows, Index cols)
  function resizeNonZeros (line 649) | void resizeNonZeros(Index size)
  function ConstDiagonalReturnType (line 655) | const ConstDiagonalReturnType diagonal() const { return ConstDiagonalRet...
  function rows (line 664) | inline SparseMatrix()
  function class (line 874) | class SingletonVector
  type IndexPosPair (line 907) | struct IndexPosPair {
  type Array (line 940) | typedef Array<StorageIndex,Dynamic,1> ArrayXI;
  type default_prunning_func (line 1021) | struct default_prunning_func {
  function namespace (line 1032) | namespace internal {
  type typename (line 1191) | typedef typename internal::nested_eval<OtherDerived,2,typename
  type typename (line 1192) | typedef typename internal::remove_all<OtherCopy>::type _OtherCopy;
  type internal (line 1193) | typedef internal::evaluator<_OtherCopy> OtherCopyEval;
  function namespace (line 1502) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseMatrixBase.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparsePermutation.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 86) | namespace internal {
  type typename (line 100) | typedef typename permutation_matrix_product<Rhs,OnTheLeft,false,SparseSh...
  type evaluator (line 101) | typedef evaluator<PlainObject> Base;
  function explicit (line 107) | explicit product_evaluator(const XprType& xpr)
  type typename (line 123) | typedef typename permutation_matrix_product<Lhs,OnTheRight,false,SparseS...
  type evaluator (line 124) | typedef evaluator<PlainObject> Base;
  function explicit (line 130) | explicit product_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseProduct.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 71) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 72) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  function run (line 105) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 121) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 132) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type typename (line 143) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 144) | typedef evaluator<PlainObject> Base;
  function explicit (line 146) | explicit unary_evaluator(const XprType& xpr)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseRedux.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseRef.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 66) | typedef typename internal::conditional<MatchAtCompileTime,internal::true...
  type internal (line 132) | typedef internal::traits<Ref> Traits;
  type internal (line 181) | typedef internal::traits<Ref> Traits;
  function Ref (line 185) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 198) | m_hasCopy(false) {
  type internal (line 263) | typedef internal::traits<Ref> Traits;
  type internal (line 299) | typedef internal::traits<Ref> Traits;
  function Ref (line 303) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 316) | m_hasCopy(false) {
  function namespace (line 349) | namespace internal {
  type Ref (line 368) | typedef Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 370) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 378) | typedef Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, Stride...
  function explicit (line 380) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 388) | typedef Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 390) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseSelfAdjointView.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 208) | namespace internal {
  type SparseSelfAdjoint2Sparse (line 220) | struct SparseSelfAdjoint2Sparse {}
  type AssignmentKind (line 222) | struct AssignmentKind
  type SparseSelfAdjoint2Sparse (line 222) | typedef SparseSelfAdjoint2Sparse Kind;
  type AssignmentKind (line 223) | struct AssignmentKind
  type Sparse2Sparse (line 223) | typedef Sparse2Sparse Kind;
  type internal (line 229) | typedef internal::assign_op<typename
  type typename (line 287) | typedef typename internal::nested_eval<SparseLhsType,DenseRhsType::MaxCo...
  type typename (line 288) | typedef typename internal::remove_all<SparseLhsTypeNested>::type SparseL...
  type evaluator (line 289) | typedef evaluator<SparseLhsTypeNestedCleaned> LhsEval;
  type typename (line 290) | typedef typename LhsEval::InnerIterator LhsIterator;
  type typename (line 291) | typedef typename SparseLhsType::Scalar LhsScalar;
  type typename (line 350) | typedef typename LhsView::_MatrixTypeNested Lhs;
  type typename (line 351) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 352) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type typename (line 367) | typedef typename RhsView::_MatrixTypeNested Rhs;
  type typename (line 368) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 369) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type Product (line 386) | typedef Product<LhsView, Rhs, DefaultProduct> XprType;
  type typename (line 387) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 388) | typedef evaluator<PlainObject> Base;
  type Product (line 406) | typedef Product<Lhs, RhsView, DefaultProduct> XprType;
  type typename (line 407) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 408) | typedef evaluator<PlainObject> Base;
  type typename (line 432) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 433) | typedef typename MatrixType::Scalar Scalar;
  type SparseMatrix (line 434) | typedef SparseMatrix<Scalar,DestOrder,StorageIndex> Dest;
  type Matrix (line 435) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 436) | typedef evaluator<MatrixType> MatEval;
  type typename (line 437) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 522) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 523) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 525) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 526) | typedef evaluator<MatrixType> MatEval;
  type typename (line 527) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 604) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 613) | typedef typename MatrixType::Nested MatrixTypeNested;
  type typename (line 614) | typedef typename internal::remove_all<MatrixTypeNested>::type NestedExpr...
  type SparseSymmetricPermutationProduct (line 637) | typedef SparseSymmetricPermutationProduct<MatrixType,Mode> SrcXprType;
  type typename (line 638) | typedef typename DstXprType::StorageIndex DstIndex;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseSolverBase.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
  function namespace (line 13) | namespace Eigen {
  function run (line 117) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 130) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 150) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 162) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 174) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 186) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseTranspose.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 52) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseTriangularView.h
  function namespace (line 14) | namespace Eigen {
  function namespace (line 66) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseUtil.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 98) | typedef typename traits<T>::Scalar _Scalar;
  type typename (line 99) | typedef typename traits<T>::StorageIndex _StorageIndex;
  type typename (line 113) | typedef typename traits<T>::Scalar _Scalar;
  type typename (line 114) | typedef typename traits<T>::StorageIndex _StorageIndex;
  type SparseTriangularShape (line 137) | struct SparseTriangularShape  { static std::string debugName() { return ...
  type LowerBoundIndex (line 144) | struct LowerBoundIndex {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseVector.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 86) | EIGEN_STRONG_INLINE const Scalar* valuePtr() const { return m_data.value...
  function EIGEN_STRONG_INLINE (line 87) | EIGEN_STRONG_INLINE Scalar* valuePtr() { return m_data.valuePtr(); }
  function EIGEN_STRONG_INLINE (line 89) | EIGEN_STRONG_INLINE const StorageIndex* innerIndexPtr() const { return m...
  function EIGEN_STRONG_INLINE (line 90) | EIGEN_STRONG_INLINE StorageIndex* innerIndexPtr() { return m_data.indexP...
  function StorageIndex (line 92) | inline const StorageIndex* outerIndexPtr() const { return 0; }
  function StorageIndex (line 93) | inline StorageIndex* outerIndexPtr() { return 0; }
  function StorageIndex (line 94) | inline const StorageIndex* innerNonZeroPtr() const { return 0; }
  function StorageIndex (line 95) | inline StorageIndex* innerNonZeroPtr() { return 0; }
  function Storage (line 98) | inline Storage& data() { return m_data; }
  function Scalar (line 102) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 107) | inline Scalar coeff(Index i) const
  function Scalar (line 113) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 125) | inline Scalar& coeffRef(Index i)
  type typename (line 135) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  function setZero (line 137) | inline void setZero() { m_data.clear(); }
  function startVec (line 142) | inline void startVec(Index outer)
  function Scalar (line 148) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 154) | inline Scalar& insertBack(Index i)
  function Scalar (line 166) | inline Scalar& insertBackUnordered(Index i)
  function Scalar (line 172) | inline Scalar& insert(Index row, Index col)
  function reserve (line 204) | inline void reserve(Index reserveSize) { m_data.reserve(reserveSize); }
  function finalize (line 207) | inline void finalize() {}
  function resize (line 223) | void resize(Index rows, Index cols)
  function resize (line 233) | void resize(Index newSize)
  function conservativeResize (line 246) | void conservativeResize(Index newSize)
  function resizeNonZeros (line 257) | void resizeNonZeros(Index size) { m_data.resize(size); }
  function EIGEN_DEPRECATED (line 356) | EIGEN_DEPRECATED Scalar& fill(Index r, Index c)
  function EIGEN_DEPRECATED (line 363) | EIGEN_DEPRECATED Scalar& fill(Index i)
  function EIGEN_DEPRECATED (line 370) | EIGEN_DEPRECATED Scalar& fillrand(Index r, Index c)
  function EIGEN_DEPRECATED (line 377) | EIGEN_DEPRECATED Scalar& fillrand(Index i)
  function EIGEN_DEPRECATED (line 383) | EIGEN_DEPRECATED void endFill() {}
  function EIGEN_DEPRECATED (line 387) | EIGEN_DEPRECATED Storage& _data() { return m_data; }
  function namespace (line 407) | namespace internal {
  type internal (line 455) | typedef internal::evaluator<Src> SrcEvaluatorType;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/SparseView.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseCore/TriangularSolver.h
  function namespace (line 13) | namespace Eigen {
  type evaluator (line 107) | typedef evaluator<Lhs> LhsEval;
  type typename (line 108) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 109) | static void run(const Lhs& lhs, Rhs& other)
  type evaluator (line 142) | typedef evaluator<Lhs> LhsEval;
  type typename (line 143) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 144) | static void run(const Lhs& lhs, Rhs& other)
  type typename (line 185) | typedef typename internal::conditional<copy,
  function namespace (line 198) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU.h
  function namespace (line 15) | namespace Eigen {
  type _MatrixType (line 139) | typedef _MatrixType MatrixType;
  type _OrderingType (line 140) | typedef _OrderingType OrderingType;
  type typename (line 141) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 142) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 143) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 144) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> NCMatrix;
  type internal (line 145) | typedef internal::MappedSuperNodalMatrix<Scalar, StorageIndex> SCMatrix;
  type Matrix (line 146) | typedef Matrix<Scalar,Dynamic,1> ScalarVector;
  type Matrix (line 147) | typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
  type PermutationMatrix (line 148) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  type internal (line 149) | typedef internal::SparseLUImpl<Scalar, StorageIndex> Base;
  function explicit (line 162) | explicit SparseLU(const MatrixType& matrix)
  function compute (line 182) | void compute (const MatrixType& matrix)
  function isSymmetric (line 232) | void isSymmetric(bool sym)
  function setPivotThreshold (line 275) | void setPivotThreshold(const RealScalar& thresh)
  function Scalar (line 350) | Scalar absDeterminant()
  function Scalar (line 406) | Scalar signDeterminant()
  function Scalar (line 434) | Scalar determinant()
  type typename (line 801) | typedef typename MappedSupernodalType::Scalar Scalar;
  function explicit (line 802) | explicit SparseLUMatrixLReturnType(const MappedSupernodalType& mapL) : m...
  type typename (line 823) | typedef typename MatrixLType::Scalar Scalar;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLUImpl.h
  function namespace (line 12) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_Memory.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_Structs.h
  function namespace (line 71) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_Utils.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_column_bmod.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_column_dfs.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h
  function namespace (line 32) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h
  function namespace (line 31) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h
  function namespace (line 34) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_panel_dfs.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_pivotL.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_pruneL.h
  function namespace (line 33) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseLU/SparseLU_relax_snode.h
  function namespace (line 31) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SparseQR/SparseQR.h
  function namespace (line 14) | namespace Eigen {
  type _MatrixType (line 91) | typedef _MatrixType MatrixType;
  type _OrderingType (line 92) | typedef _OrderingType OrderingType;
  type typename (line 93) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 94) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 95) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 96) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> QRMatrixType;
  type Matrix (line 97) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;
  type Matrix (line 98) | typedef Matrix<Scalar, Dynamic, 1> ScalarVector;
  type PermutationMatrix (line 99) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  function compute (line 127) | void compute(const MatrixType& mat)
  function setPivotThreshold (line 235) | void setPivotThreshold(const RealScalar& threshold)
  function _sort_matrix_Q (line 276) | inline void _sort_matrix_Q()
  type SparseQR_QProduct (line 306) | struct SparseQR_QProduct
  type typename (line 615) | typedef typename SparseQRType::QRMatrixType MatrixType;
  type typename (line 616) | typedef typename SparseQRType::Scalar Scalar;
  type typename (line 676) | typedef typename SparseQRType::Scalar Scalar;
  type Matrix (line 677) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  function explicit (line 682) | explicit SparseQRMatrixQReturnType(const SparseQRType& qr) : m_qr(qr) {}
  function explicit (line 707) | explicit SparseQRMatrixQTransposeReturnType(const SparseQRType& qr) : m_...
  function namespace (line 716) | namespace internal {
  type typename (line 746) | typedef typename DstXprType::Scalar Scalar;
  type typename (line 747) | typedef typename DstXprType::StorageIndex StorageIndex;
  function run (line 748) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/StlSupport/StdDeque.h
  function namespace (line 50) | namespace std {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/StlSupport/StdList.h
  function namespace (line 49) | namespace std

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/StlSupport/StdVector.h
  function namespace (line 50) | namespace std {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/StlSupport/details.h
  function namespace (line 18) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/SuperLUSupport/SuperLUSupport.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/UmfPackSupport/UmfPackSupport.h
  function namespace (line 23) | namespace Eigen {
  function UmfpackControl (line 432) | inline UmfpackControl& umfpackControl()
  function printUmfpackControl (line 459) | void printUmfpackControl()
  function printUmfpackInfo (line 468) | void printUmfpackInfo()
  function printUmfpackStatus (line 478) | void printUmfpackStatus() {
  function Scalar (line 487) | Scalar determinant() const;
  function factorize_impl (line 518) | void factorize_impl()
  function grab (line 536) | void grab(const UmfpackMatrixRef &A)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/misc/Image.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/misc/Kernel.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/misc/RealSvd2x2.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/misc/blas.h
  type BLASLONG (line 12) | typedef long long BLASLONG;
  type BLASULONG (line 13) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 15) | typedef long BLASLONG;
  type BLASULONG (line 16) | typedef unsigned long BLASULONG;

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/misc/lapacke.h
  type lapack_logical (line 132) | typedef lapack_logical (*LAPACK_S_SELECT2) ( const float*, const float* );
  type lapack_logical (line 133) | typedef lapack_logical (*LAPACK_S_SELECT3)
  type lapack_logical (line 135) | typedef lapack_logical (*LAPACK_D_SELECT2) ( const double*, const double...
  type lapack_logical (line 136) | typedef lapack_logical (*LAPACK_D_SELECT3)
  type lapack_logical (line 139) | typedef lapack_logical (*LAPACK_C_SELECT1) ( const lapack_complex_float* );
  type lapack_logical (line 140) | typedef lapack_logical (*LAPACK_C_SELECT2)
  type lapack_logical (line 142) | typedef lapack_logical (*LAPACK_Z_SELECT1) ( const lapack_complex_double...
  type lapack_logical (line 143) | typedef lapack_logical (*LAPACK_Z_SELECT2)

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/ArrayCwiseBinaryOps.h
  function Derived (line 330) | const Derived>

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/ArrayCwiseUnaryOps.h
  type CwiseUnaryOp (line 3) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 4) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 5) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 6) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 7) | typedef CwiseUnaryOp<internal::scalar_rsqrt_op<Scalar>, const
  type CwiseUnaryOp (line 8) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 9) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const
  type CwiseUnaryOp (line 10) | typedef CwiseUnaryOp<internal::scalar_boolean_not_op<Scalar>, const
  type CwiseUnaryOp (line 12) | typedef CwiseUnaryOp<internal::scalar_exp_op<Scalar>, const
  type CwiseUnaryOp (line 13) | typedef CwiseUnaryOp<internal::scalar_expm1_op<Scalar>, const
  type CwiseUnaryOp (line 14) | typedef CwiseUnaryOp<internal::scalar_log_op<Scalar>, const
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_log1p_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_log10_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_log2_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_cos_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sin_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_tan_op<Scalar>, const
  type CwiseUnaryOp (line 21) | typedef CwiseUnaryOp<internal::scalar_acos_op<Scalar>, const
  type CwiseUnaryOp (line 22) | typedef CwiseUnaryOp<internal::scalar_asin_op<Scalar>, const
  type CwiseUnaryOp (line 23) | typedef CwiseUnaryOp<internal::scalar_atan_op<Scalar>, const
  type CwiseUnaryOp (line 24) | typedef CwiseUnaryOp<internal::scalar_tanh_op<Scalar>, const
  type CwiseUnaryOp (line 25) | typedef CwiseUnaryOp<internal::scalar_logistic_op<Scalar>, const
  type CwiseUnaryOp (line 26) | typedef CwiseUnaryOp<internal::scalar_sinh_op<Scalar>, const
  type CwiseUnaryOp (line 28) | typedef CwiseUnaryOp<internal::scalar_atanh_op<Scalar>, const
  type CwiseUnaryOp (line 29) | typedef CwiseUnaryOp<internal::scalar_asinh_op<Scalar>, const
  type CwiseUnaryOp (line 30) | typedef CwiseUnaryOp<internal::scalar_acosh_op<Scalar>, const
  type CwiseUnaryOp (line 32) | typedef CwiseUnaryOp<internal::scalar_cosh_op<Scalar>, const
  type CwiseUnaryOp (line 33) | typedef CwiseUnaryOp<internal::scalar_square_op<Scalar>, const
  type CwiseUnaryOp (line 34) | typedef CwiseUnaryOp<internal::scalar_cube_op<Scalar>, const
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_round_op<Scalar>, const
  type CwiseUnaryOp (line 36) | typedef CwiseUnaryOp<internal::scalar_rint_op<Scalar>, const
  type CwiseUnaryOp (line 37) | typedef CwiseUnaryOp<internal::scalar_floor_op<Scalar>, const
  type CwiseUnaryOp (line 38) | typedef CwiseUnaryOp<internal::scalar_ceil_op<Scalar>, const
  type CwiseUnaryOp (line 39) | typedef CwiseUnaryOp<internal::scalar_isnan_op<Scalar>, const
  type CwiseUnaryOp (line 40) | typedef CwiseUnaryOp<internal::scalar_isinf_op<Scalar>, const
  type CwiseUnaryOp (line 41) | typedef CwiseUnaryOp<internal::scalar_isfinite_op<Scalar>, const
  function AbsReturnType (line 51) | const AbsReturnType
  function Abs2ReturnType (line 79) | const Abs2ReturnType

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/BlockMethods.h
  type Block (line 14) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, 1, ...
  type Block (line 15) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 17) | typedef Block<Derived, 1, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 18) | typedef const Block<const Derived, 1, internal::traits<Derived>::ColsAtC...
  type Block (line 20) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, Dyn...
  type Block (line 21) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 23) | typedef Block<Derived, Dynamic, internal::traits<Derived>::ColsAtCompile...
  type Block (line 24) | typedef const Block<const Derived, Dynamic, internal::traits<Derived>::C...
  type Block (line 26) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, N, ...
  type Block (line 27) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 29) | typedef Block<Derived, N, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 30) | typedef const Block<const Derived, N, internal::traits<Derived>::ColsAtC...
  type Block (line 32) | typedef Block<Derived> BlockXpr;
  type Block (line 33) | typedef const Block<const Derived> ConstBlockXpr;
  type Block (line 35) | typedef Block<Derived,Rows,Cols> Type;
  type Block (line 36) | typedef Block<const Derived,Rows,Cols> Type;
  type VectorBlock (line 38) | typedef VectorBlock<Derived> SegmentReturnType;
  type VectorBlock (line 39) | typedef const VectorBlock<const Derived> ConstSegmentReturnType;
  type VectorBlock (line 40) | typedef VectorBlock<Derived, Size> Type;
  type VectorBlock (line 41) | typedef const VectorBlock<const Derived, Size> Type;
  type Block (line 44) | typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true>   ...
  type Block (line 45) | typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,tr...
  type Block (line 48) | typedef Block<Derived,Dynamic,Dynamic,true> InnerVectorsReturnType;
  type Block (line 49) | typedef Block<const Derived,Dynamic,Dynamic,true> ConstInnerVectorsRetur...
  function typename (line 582) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 657) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 733) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 809) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 884) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 960) | const typename ConstNColsBlockXpr<...>::Type
  function EIGEN_STRONG_INLINE (line 1096) | EIGEN_STRONG_INLINE
  function ConstColXpr (line 1104) | ConstColXpr col(Index i) const
  function EIGEN_STRONG_INLINE (line 1117) | EIGEN_STRONG_INLINE
  function ConstRowXpr (line 1125) | ConstRowXpr row(Index i) const
  function ConstInnerVectorReturnType (line 1387) | const ConstInnerVectorReturnType innerVector(Index outer) const
  function InnerVectorsReturnType (line 1394) | InnerVectorsReturnType
  function ConstInnerVectorsReturnType (line 1407) | const ConstInnerVectorsReturnType

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/CommonCwiseUnaryOps.h
  type typename (line 16) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 21) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 26) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type CwiseUnaryOp (line 31) | typedef CwiseUnaryOp<internal::scalar_imag_op<Scalar>, const
  type CwiseUnaryView (line 33) | typedef CwiseUnaryView<internal::scalar_imag_ref_op<Scalar>, Derived> No...
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const
  type typename (line 48) | typedef typename internal::cast_return_type<Derived,const
  type CwiseUnaryOp (line 68) | typedef CwiseUnaryOp<internal::scalar_shift_right_op<Scalar, N>, const
  type CwiseUnaryOp (line 90) | typedef CwiseUnaryOp<internal::scalar_shift_left_op<Scalar, N>, const

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/IndexedViewMethods.h
  type typename (line 36) | typedef typename internal::IndexedViewCompatibleType<Index,1>::type IvcI...
  type IndexedView (line 62) | typedef IndexedView<EIGEN_INDEXED_VIEW_METHOD_CONST Derived,
  type typename (line 87) | typedef typename internal::traits<typename EIGEN_INDEXED_VIEW_METHOD_TYP...

FILE: VO_Module/thirdparty/lietorch/eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const

FILE: VO_Module/thirdparty/lietorch/eigen/bench/BenchSparseUtil.h
  type SCALAR (line 22) | typedef SCALAR Scalar;
  type Matrix (line 23) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 24) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type SparseMatrix (line 25) | typedef SparseMatrix<Scalar> EigenSparseMatrix;
  function fillMatrix (line 27) | void fillMatrix(float density, int rows, int cols,  EigenSparseMatrix& dst)
  function fillMatrix2 (line 42) | void fillMatrix2(int nnzPerCol, int rows, int cols,  EigenSparseMatrix& ...
  function eiToDense (line 62) | void eiToDense(const EigenSparseMatrix& src, DenseMatrix& dst)
  type gmm (line 72) | typedef gmm::csc_matrix<Scalar> GmmSparse;
  type gmm (line 73) | typedef gmm::col_matrix< gmm::wsvector<Scalar> > GmmDynSparse;
  function eiToGmm (line 74) | void eiToGmm(const EigenSparseMatrix& src, GmmSparse& dst)
  type mtl (line 86) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::col_...
  type mtl (line 87) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::row_...
  function eiToMtl (line 88) | void eiToMtl(const EigenSparseMatrix& src, MtlSparse& dst)
  function eiToCSparse (line 101) | void eiToCSparse(const EigenSparseMatrix& src, cs* &dst)
  type boost (line 126) | typedef boost::numeric::ublas::compressed_matrix<Scalar,boost::numeric::...
  function eiToUblas (line 128) | void eiToUblas(const EigenSparseMatrix& src, UBlasSparse& dst)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/BenchTimer.h
  function escape (line 30) | static void escape(void *p) {
  function clobber (line 36) | static void clobber() {
  function namespace (line 44) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/bench/analyze-blocking-sizes.cpp
  function log2_pot (line 34) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 40) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  type size_triple_t (line 46) | struct size_triple_t
    method size_triple_t (line 49) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 50) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 51) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 52) | size_triple_t(uint16_t compact)
    method is_cubic (line 58) | bool is_cubic() const { return k == m && m == n; }
  function ostream (line 61) | ostream& operator<<(ostream& s, const size_triple_t& t)
  type inputfile_entry_t (line 66) | struct inputfile_entry_t
  type inputfile_t (line 74) | struct inputfile_t
    type type_t (line 76) | enum class type_t {
    method inputfile_t (line 86) | inputfile_t(const string& fname)
  type preprocessed_inputfile_entry_t (line 195) | struct preprocessed_inputfile_entry_t
  function lower_efficiency (line 203) | bool lower_efficiency(const preprocessed_inputfile_entry_t& e1, const pr...
  type preprocessed_inputfile_t (line 208) | struct preprocessed_inputfile_t
    method preprocessed_inputfile_t (line 213) | preprocessed_inputfile_t(const inputfile_t& inputfile)
    method import_input_file_range_one_product_size (line 233) | void import_input_file_range_one_product_size(
  function check_all_files_in_same_exact_order (line 257) | void check_all_files_in_same_exact_order(
  function efficiency_of_subset (line 297) | float efficiency_of_subset(
  function dump_table_for_subset (line 334) | void dump_table_for_subset(
  function efficiency_of_partition (line 400) | float efficiency_of_partition(
  function make_first_subset (line 411) | void make_first_subset(size_t subset_size, vector<size_t>& out_subset, s...
  function is_last_subset (line 420) | bool is_last_subset(const vector<size_t>& subset, size_t set_size)
  function next_subset (line 425) | void next_subset(vector<size_t>& inout_subset, size_t set_size)
  function is_number_of_subsets_feasible (line 447) | bool is_number_of_subsets_feasible(size_t n, size_t p)
  function max_feasible_subset_size (line 461) | size_t max_feasible_subset_size(size_t n)
  function find_subset_with_efficiency_higher_than (line 473) | void find_subset_with_efficiency_higher_than(
  function find_partition_with_efficiency_higher_than (line 545) | void find_partition_with_efficiency_higher_than(
  function print_partition (line 568) | void print_partition(
  type action_t (line 589) | struct action_t
    method run (line 592) | virtual void run(const vector<string>&) const { abort(); }
  type partition_action_t (line 596) | struct partition_action_t : action_t
    method run (line 599) | virtual void run(const vector<string>& input_filenames) const override
  type evaluate_defaults_action_t (line 668) | struct evaluate_defaults_action_t : action_t
    type results_entry_t (line 670) | struct results_entry_t {
    method ostream (line 678) | ostream& operator<<(ostream& s, const results_entry_t& entry)
    method lower_efficiency (line 689) | static bool lower_efficiency(const results_entry_t& e1, const results_...
    method show_usage_and_exit (line 693) | void show_usage_and_exit() const
    method run (line 700) | virtual void run(const vector<string>& input_filenames) const override
  function show_usage_and_exit (line 798) | void show_usage_and_exit(int argc, char* argv[],
  function main (line 810) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/basicbenchmark.cpp
  function main (line 6) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchBlasGemm.cpp
  function main (line 34) | int main(int argc, char *argv[])
  function bench_eigengemm (line 165) | void bench_eigengemm(MyMatrix& mc, const MyMatrix& ma, const MyMatrix& m...
  function check_product (line 174) | void check_product(int M, int N, int K)
  function check_product (line 206) | void check_product(void)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchCholesky.cpp
  function benchLLT (line 28) | __attribute__ ((noinline)) void benchLLT(const MatrixType& m)
  function main (line 119) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchEigenSolver.cpp
  function benchEigenSolver (line 34) | __attribute__ ((noinline)) void benchEigenSolver(const MatrixType& m)
  function main (line 189) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchFFT.cpp
  function string (line 26) | string nameof<float>() {return "float";}
  function string (line 27) | string nameof<double>() {return "double";}
  function string (line 28) | string nameof<long double>() {return "long double";}
  function bench (line 44) | void bench(int nfft,bool fwd,bool unscaled=false, bool halfspec=false)
  function main (line 97) | int main(int argc,char ** argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchGeometry.cpp
  type func_opt (line 14) | enum func_opt
  type func (line 23) | struct func
  type func<res, arg1, arg2, TV> (line 26) | struct func<res, arg1, arg2, TV>
    method EIGEN_DONT_INLINE (line 28) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATV> (line 36) | struct func<res, arg1, arg2, TMATV>
    method EIGEN_DONT_INLINE (line 38) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATVMAT> (line 46) | struct func<res, arg1, arg2, TMATVMAT>
    method EIGEN_DONT_INLINE (line 48) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type test_transform (line 56) | struct test_transform
    method run (line 58) | static void run()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchVecAdd.cpp
  function main (line 21) | int main(int argc, char* argv[])
  function benchVec (line 79) | void benchVec(MatrixXf& a, MatrixXf& b, MatrixXf& c)
  function benchVec (line 85) | void benchVec(VectorXf& a, VectorXf& b, VectorXf& c)
  function benchVec (line 91) | void benchVec(Scalar* a, Scalar* b, Scalar* c, int size)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/bench_gemm.cpp
  function blas_gemm (line 87) | void blas_gemm(const A& a, const B& b, MatrixXf& c)
  function blas_gemm (line 99) | void blas_gemm(const A& a, const B& b, MatrixXd& c)
  function blas_gemm (line 111) | void blas_gemm(const A& a, const B& b, MatrixXcf& c)
  function blas_gemm (line 123) | void blas_gemm(const A& a, const B& b, MatrixXcd& c)
  function matlab_cplx_cplx (line 138) | void matlab_cplx_cplx(const M& ar, const M& ai, const M& br, const M& bi...
  function matlab_real_cplx (line 147) | void matlab_real_cplx(const M& a, const M& br, const M& bi, M& cr, M& ci)
  function matlab_cplx_real (line 153) | void matlab_cplx_real(const M& ar, const M& ai, const M& b, M& cr, M& ci)
  function EIGEN_DONT_INLINE (line 162) | EIGEN_DONT_INLINE void gemm(const A& a, const B& b, C& c)
  function main (line 167) | int main(int argc, char ** argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/bench_move_semantics.cpp
  function copy_matrix (line 19) | void copy_matrix(MatrixType& m)
  function move_matrix (line 26) | void move_matrix(MatrixType&& m)
  function bench (line 33) | void bench(const std::string& label)
  function main (line 51) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/bench_norm.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE typename T::Scalar sqsumNorm(T& v)
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE typename T::Scalar stableNorm(T& v)
  function EIGEN_DONT_INLINE (line 21) | EIGEN_DONT_INLINE typename T::Scalar hypotNorm(T& v)
  function EIGEN_DONT_INLINE (line 27) | EIGEN_DONT_INLINE typename T::Scalar blueNorm(T& v)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
  function EIGEN_DONT_INLINE (line 56) | EIGEN_DONT_INLINE typename T::Scalar twopassNorm(T& v)
  function EIGEN_DONT_INLINE (line 64) | EIGEN_DONT_INLINE typename T::Scalar bl2passNorm(T& v)
  function EIGEN_DONT_INLINE (line 70) | EIGEN_DONT_INLINE typename T::Scalar divacNorm(T& v)
  type Eigen (line 85) | namespace Eigen {
    type internal (line 86) | namespace internal {
      function Packet4f (line 88) | Packet4f plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a...
      function Packet2d (line 89) | Packet2d plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a...
      function Packet4f (line 91) | Packet4f pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot...
      function Packet2d (line 92) | Packet2d pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot...
  function EIGEN_DONT_INLINE (line 98) | EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
  function check_accuracy (line 246) | void check_accuracy(double basef, double based, int s)
  function check_accuracy_var (line 263) | void check_accuracy_var(int ef0, int ef1, int ed0, int ed1, int s)
  function main (line 283) | int main(int argc, char** argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/bench_reverse.cpp
  function bench_reverse (line 18) | __attribute__ ((noinline)) void bench_reverse(const MatrixType& m)
  function main (line 60) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/bench_sum.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchmark-blocking-sizes.cpp
  type size_triple_t (line 62) | struct size_triple_t
    method size_triple_t (line 65) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 66) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 67) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 68) | size_triple_t(uint16_t compact)
  function log2_pot (line 76) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 85) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  function compact_size_triple (line 90) | uint16_t compact_size_triple(const size_triple_t& t)
  type benchmark_t (line 97) | struct benchmark_t
    method benchmark_t (line 103) | benchmark_t()
    method benchmark_t (line 110) | benchmark_t(size_t pk, size_t pm, size_t pn,
    method benchmark_t (line 117) | benchmark_t(size_t pk, size_t pm, size_t pn)
  function ostream (line 127) | ostream& operator<<(ostream& s, const benchmark_t& b)
  function print_cpuinfo (line 231) | void print_cpuinfo()
  function string (line 252) | string type_name()
  function string (line 258) | string type_name<float>()
  function string (line 264) | string type_name<double>()
  type action_t (line 269) | struct action_t
    method run (line 272) | virtual void run() const { abort(); }
  function show_usage_and_exit (line 276) | void show_usage_and_exit(int /*argc*/, char* argv[],
  function measure_clock_speed (line 297) | float measure_clock_speed()
  type human_duration_t (line 318) | struct human_duration_t
    method human_duration_t (line 321) | human_duration_t(int s) : seconds(s) {}
  function ostream (line 324) | ostream& operator<<(ostream& s, const human_duration_t& d)
  function serialize_benchmarks (line 345) | void serialize_benchmarks(const char* filename, const vector<benchmark_t...
  function deserialize_benchmarks (line 361) | bool deserialize_benchmarks(const char* filename, vector<benchmark_t>& b...
  function try_run_some_benchmarks (line 385) | void try_run_some_benchmarks(
  function run_benchmarks (line 501) | void run_benchmarks(vector<benchmark_t>& benchmarks)
  type measure_all_pot_sizes_action_t (line 565) | struct measure_all_pot_sizes_action_t : action_t
    method run (line 568) | virtual void run() const
  type measure_default_sizes_action_t (line 596) | struct measure_default_sizes_action_t : action_t
    method run (line 599) | virtual void run() const
  function main (line 621) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchmark.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchmarkSlice.cpp
  function main (line 18) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchmarkX.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/benchmarkXcwise.cpp
  function main (line 21) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_aat_product.hh
  class Action_aat_product (line 32) | class Action_aat_product {
    method Action_aat_product (line 38) | Action_aat_product( int size ):_size(size)
    method Action_aat_product (line 60) | Action_aat_product( const  Action_aat_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_ata_product.hh
  class Action_ata_product (line 32) | class Action_ata_product {
    method Action_ata_product (line 38) | Action_ata_product( int size ):_size(size)
    method Action_ata_product (line 60) | Action_ata_product( const  Action_ata_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_atv_product.hh
  class Action_atv_product (line 32) | class Action_atv_product {
    method Action_atv_product (line 36) | Action_atv_product( int size ) : _size(size)
    method Action_atv_product (line 59) | Action_atv_product( const  Action_atv_product & )
    method name (line 78) | static inline std::string name() { return "atv_" + Interface::name(); }
    method nb_op_base (line 80) | double nb_op_base( void ) { return 2.0*_size*_size; }
    method initialize (line 82) | inline void initialize( void ){
    method BTL_DONT_INLINE (line 88) | BTL_DONT_INLINE void calculate( void ) {
    method check_result (line 94) | void check_result( void )

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_axpby.hh
  class Action_axpby (line 31) | class Action_axpby {
    method Action_axpby (line 36) | Action_axpby( int size ):_alpha(0.5),_beta(0.95),_size(size)
    method Action_axpby (line 54) | Action_axpby( const  Action_axpby & )
    method name (line 73) | static inline std::string name( void )
    method nb_op_base (line 78) | double nb_op_base( void ){
    method initialize (line 82) | inline void initialize( void ){
    method calculate (line 87) | inline void calculate( void ) {
    method check_result (line 93) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_axpy.hh
  class Action_axpy (line 32) | class Action_axpy {
    method Action_axpy (line 38) | Action_axpy( int size ):_coef(1.0),_size(size)
    method Action_axpy (line 61) | Action_axpy( const  Action_axpy & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 98) | inline void calculate( void ) {
    method check_result (line 104) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_cholesky.hh
  class Action_cholesky (line 31) | class Action_cholesky {
    method Action_cholesky (line 37) | Action_cholesky( int size ):_size(size)
    method Action_cholesky (line 64) | Action_cholesky( const  Action_cholesky & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 97) | inline void calculate( void ) {
    method check_result (line 101) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_ger.hh
  class Action_ger (line 27) | class Action_ger {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_ger( int size ):_size(size)
    method Action_ger (line 53) | Action_ger( const  Action_ger & )
    method BTL_DONT_INLINE (line 60) | BTL_DONT_INLINE ~Action_ger( void ){
    method name (line 72) | static inline std::string name( void )
    method nb_op_base (line 77) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 81) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 93) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_hessenberg.hh
  class Action_hessenberg (line 31) | class Action_hessenberg {
    method Action_hessenberg (line 37) | Action_hessenberg( int size ):_size(size)
    method Action_hessenberg (line 63) | Action_hessenberg( const  Action_hessenberg & )
    method name (line 83) | static inline std::string name( void )
    method nb_op_base (line 88) | double nb_op_base( void ){
    method initialize (line 92) | inline void initialize( void ){
    method calculate (line 96) | inline void calculate( void ) {
    method check_result (line 100) | void check_result( void ){
  class Action_tridiagonalization (line 131) | class Action_tridiagonalization {
    method Action_tridiagonalization (line 137) | Action_tridiagonalization( int size ):_size(size)
    method Action_tridiagonalization (line 169) | Action_tridiagonalization( const  Action_tridiagonalization & )
    method name (line 189) | static inline std::string name( void ) { return "tridiagonalization_"+...
    method nb_op_base (line 191) | double nb_op_base( void ){
    method initialize (line 195) | inline void initialize( void ){
    method calculate (line 199) | inline void calculate( void ) {
    method check_result (line 203) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_lu_decomp.hh
  class Action_lu_decomp (line 31) | class Action_lu_decomp {
    method Action_lu_decomp (line 37) | Action_lu_decomp( int size ):_size(size)
    method Action_lu_decomp (line 57) | Action_lu_decomp( const  Action_lu_decomp & )
    method name (line 77) | static inline std::string name( void )
    method nb_op_base (line 82) | double nb_op_base( void ){
    method initialize (line 86) | inline void initialize( void ){
    method calculate (line 90) | inline void calculate( void ) {
    method check_result (line 94) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_lu_solve.hh
  class Action_lu_solve (line 32) | class Action_lu_solve
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 47) | static double calculate( int nb_calc, int size ) {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_matrix_matrix_product.hh
  class Action_matrix_matrix_product (line 32) | class Action_matrix_matrix_product {
    method Action_matrix_matrix_product (line 38) | Action_matrix_matrix_product( int size ):_size(size)
    method Action_matrix_matrix_product (line 63) | Action_matrix_matrix_product( const  Action_matrix_matrix_product & )
    method name (line 89) | static inline std::string name( void )
    method nb_op_base (line 94) | double nb_op_base( void ){
    method initialize (line 98) | inline void initialize( void ){
    method calculate (line 106) | inline void calculate( void ) {
    method check_result (line 110) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_matrix_matrix_product_bis.hh
  class Action_matrix_matrix_product_bis (line 33) | class Action_matrix_matrix_product_bis {
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 46) | static double calculate( int nb_calc, int size ) {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_matrix_vector_product.hh
  class Action_matrix_vector_product (line 32) | class Action_matrix_vector_product {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_matrix_vector_product( int size ):_size(size)
    method Action_matrix_vector_product (line 62) | Action_matrix_vector_product( const  Action_matrix_vector_product & )
    method BTL_DONT_INLINE (line 70) | BTL_DONT_INLINE ~Action_matrix_vector_product( void ){
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 97) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 105) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 111) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_partial_lu.hh
  class Action_partial_lu (line 31) | class Action_partial_lu {
    method Action_partial_lu (line 37) | Action_partial_lu( int size ):_size(size)
    method Action_partial_lu (line 59) | Action_partial_lu( const  Action_partial_lu & )
    method name (line 79) | static inline std::string name( void )
    method nb_op_base (line 84) | double nb_op_base( void ){
    method initialize (line 88) | inline void initialize( void ){
    method calculate (line 92) | inline void calculate( void ) {
    method check_result (line 96) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_rot.hh
  class Action_rot (line 27) | class Action_rot {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_rot( int size ):_size(size)
    method Action_rot (line 49) | Action_rot( const  Action_rot & )
    method BTL_DONT_INLINE (line 56) | BTL_DONT_INLINE ~Action_rot( void ){
    method name (line 65) | static inline std::string name( void )
    method nb_op_base (line 70) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 74) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 79) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 85) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_symv.hh
  class Action_symv (line 32) | class Action_symv {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_symv( int size ):_size(size)
    method Action_symv (line 60) | Action_symv( const  Action_symv & )
    method BTL_DONT_INLINE (line 67) | BTL_DONT_INLINE ~Action_symv( void ){
    method name (line 78) | static inline std::string name( void )
    method nb_op_base (line 83) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 95) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 101) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_syr2.hh
  class Action_syr2 (line 32) | class Action_syr2 {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_syr2( int size ):_size(size)
    method Action_syr2 (line 57) | Action_syr2( const  Action_syr2 & )
    method BTL_DONT_INLINE (line 64) | BTL_DONT_INLINE ~Action_syr2( void ){
    method name (line 75) | static inline std::string name( void )
    method nb_op_base (line 80) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 84) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 90) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 96) | BTL_DONT_INLINE void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_trisolve.hh
  class Action_trisolve (line 31) | class Action_trisolve {
    method Action_trisolve (line 37) | Action_trisolve( int size ):_size(size)
    method Action_trisolve (line 68) | Action_trisolve( const  Action_trisolve & )
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method initialize (line 97) | inline void initialize( void ){
    method calculate (line 101) | inline void calculate( void ) {
    method check_result (line 105) | void check_result(){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_trisolve_matrix.hh
  class Action_trisolve_matrix (line 32) | class Action_trisolve_matrix {
    method Action_trisolve_matrix (line 38) | Action_trisolve_matrix( int size ):_size(size)
    method Action_trisolve_matrix (line 76) | Action_trisolve_matrix( const  Action_trisolve_matrix & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/actions/action_trmm.hh
  class Action_trmm (line 32) | class Action_trmm {
    method Action_trmm (line 38) | Action_trmm( int size ):_size(size)
    method Action_trmm (line 76) | Action_trmm( const  Action_trmm & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/bench.hh
  function BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point )
  function BTL_DONT_INLINE (line 154) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point ){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/btl.hh
  class BtlString (line 57) | class BtlString : public std::string
    method BtlString (line 60) | BtlString() : std::string() {}
    method BtlString (line 61) | BtlString(const BtlString& str) : std::string(static_cast<const std::s...
    method BtlString (line 62) | BtlString(const std::string& str) : std::string(str) {}
    method BtlString (line 63) | BtlString(const char* str) : std::string(str) {}
    method trim (line 67) | void trim( bool left = true, bool right = true )
    method split (line 81) | std::vector<BtlString> split( const BtlString& delims = "\t\n ") const
    method endsWith (line 108) | bool endsWith(const BtlString& str) const
    method contains (line 114) | bool contains(const BtlString& str) const
    method beginsWith (line 118) | bool beginsWith(const BtlString& str) const
    method BtlString (line 125) | BtlString toLowerCase( void )
    method BtlString (line 130) | BtlString toUpperCase( void )
    method isEquiv (line 138) | bool isEquiv(const BtlString& str) const
    method decomposePathAndFile (line 150) | void decomposePathAndFile(BtlString& path, BtlString& filename) const
  class BtlConfig (line 163) | class BtlConfig
    method BtlConfig (line 166) | BtlConfig()
    method BTL_DONT_INLINE (line 216) | BTL_DONT_INLINE static bool skipAction(const std::string& _name)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/init/init_function.hh
  function simple_function (line 23) | double simple_function(int index)
  function simple_function (line 28) | double simple_function(int index_i, int index_j)
  function pseudo_random (line 33) | double pseudo_random(int /*index*/)
  function pseudo_random (line 38) | double pseudo_random(int /*index_i*/, int /*index_j*/)
  function null_function (line 44) | double null_function(int /*index*/)
  function null_function (line 49) | double null_function(int /*index_i*/, int /*index_j*/)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/init/init_matrix.hh
  function BTL_DONT_INLINE (line 28) | BTL_DONT_INLINE void init_row(Vector & X, int size, int row){
  function BTL_DONT_INLINE (line 43) | BTL_DONT_INLINE void init_matrix(Vector &  A, int size){
  function BTL_DONT_INLINE (line 51) | BTL_DONT_INLINE void init_matrix_symm(Matrix&  A, int size){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/init/init_vector.hh
  function init_vector (line 28) | void init_vector(Vector & X, int size){

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/static/bench_static.hh
  function BTL_DONT_INLINE (line 37) | BTL_DONT_INLINE  void bench_static(void)
  function BTL_DONT_INLINE (line 58) | BTL_DONT_INLINE  void bench_static(void)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/static/intel_bench_fixed_size.hh
  function bench_fixed_size (line 27) | double bench_fixed_size(int size, unsigned long long  & nb_calc,unsigned...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/static/static_size_generator.hh
  type static_size_generator (line 29) | struct static_size_generator{
    method go (line 30) | static void go(vector<double> & tab_sizes, vector<double> & tab_mflops)
  type static_size_generator<1,Perf_Analyzer,Action,Interface> (line 44) | struct static_size_generator<1,Perf_Analyzer,Action,Interface>{
    method go (line 45) | static  void go(vector<double> & tab_sizes, vector<double> & tab_mflops)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/STL_perf_analyzer.hh
  class STL_Perf_Analyzer (line 27) | class STL_Perf_Analyzer{
    method STL_Perf_Analyzer (line 29) | STL_Perf_Analyzer(unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb_...
    method STL_Perf_Analyzer (line 33) | STL_Perf_Analyzer( const STL_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/STL_timer.hh
  class STL_Timer (line 30) | class STL_Timer {
    method STL_Timer (line 32) | STL_Timer(){ baseline = false; }
    method start (line 34) | void start(unsigned int r){
    method start_baseline (line 42) | void start_baseline(unsigned int r)
    method check (line 48) | bool check()
    method get_time (line 60) | double get_time( void )

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/mixed_perf_analyzer.hh
  class Mixed_Perf_Analyzer (line 30) | class Mixed_Perf_Analyzer{
    method Mixed_Perf_Analyzer (line 33) | Mixed_Perf_Analyzer( void ):_x86pa(),_ppa(),_use_ppa(true)
    method Mixed_Perf_Analyzer (line 37) | Mixed_Perf_Analyzer( const Mixed_Perf_Analyzer & ){
    method eval_mflops (line 46) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer.hh
  class Portable_Perf_Analyzer (line 28) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 30) | Portable_Perf_Analyzer( ):_nb_calc(0), m_time_action(0), _chronos(){
    method Portable_Perf_Analyzer (line 33) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE double eval_mflops(int size)
    method BTL_DONT_INLINE (line 76) | BTL_DONT_INLINE double time_calculate(Action & action)
    method get_nb_calc (line 89) | unsigned long long get_nb_calc()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer_old.hh
  class Portable_Perf_Analyzer (line 27) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 29) | Portable_Perf_Analyzer( void ):_nb_calc(1),_nb_init(1),_chronos(){
    method Portable_Perf_Analyzer (line 32) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)
    method time_init (line 97) | inline double time_init(Action & action)
    method time_calculate (line 108) | inline double time_calculate(Action & action)
    method get_nb_calc (line 121) | unsigned long long get_nb_calc( void )

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/portable_timer.hh
  class Portable_Timer (line 47) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 95) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 139) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/x86_perf_analyzer.hh
  class X86_Perf_Analyzer (line 27) | class X86_Perf_Analyzer{
    method X86_Perf_Analyzer (line 29) | X86_Perf_Analyzer( unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb...
    method X86_Perf_Analyzer (line 34) | X86_Perf_Analyzer( const X86_Perf_Analyzer & ){
    method eval_mflops (line 43) | inline double eval_mflops(int size)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/timers/x86_timer.hh
  class X86_Timer (line 44) | class X86_Timer {
    method X86_Timer (line 48) | X86_Timer( void ):_frequency(FREQUENCY),_nb_sample(0)
    method start (line 53) | inline void start( void ){
    method stop (line 60) | inline void stop( void ){
    method frequency (line 67) | inline double frequency( void ){
    method get_elapsed_time_in_second (line 71) | double get_elapsed_time_in_second( void ){
    method get_click (line 78) | unsigned long long  get_click( void ){
    method find_frequency (line 84) | inline void find_frequency( void ){
    method add_get_click (line 111) | void  add_get_click( void ){
    method dump_statistics (line 119) | void dump_statistics(string filemane){
    method dump_history (line 133) | void dump_history(string filemane){
    method get_mean_clicks (line 153) | double get_mean_clicks( void ){
    method get_shortest_clicks (line 169) | double get_shortest_clicks( void ){
    method fill_history_clicks (line 175) | void fill_history_clicks( void ){
    method get_most_occured_clicks (line 184) | double get_most_occured_clicks( void ){
    method clear (line 204) | void clear( void )

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/utils/size_lin_log.hh
  function size_lin_log (line 26) | void size_lin_log(const int nb_point, const int /*size_min*/, const int ...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/utils/size_log.hh
  function size_log (line 29) | void size_log(const int nb_point, const int size_min, const int size_max...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/generic_bench/utils/xy_file.hh
  function read_xy_file (line 28) | bool read_xy_file(const std::string & filename, std::vector<int> & tab_s...
  function dump_xy_file (line 64) | void dump_xy_file(const Vector_A & X, const Vector_B & Y, const std::str...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/BLAS/blas.h
  type BLASLONG (line 7) | typedef long long BLASLONG;
  type BLASULONG (line 8) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 10) | typedef long BLASLONG;
  type BLASULONG (line 11) | typedef unsigned long BLASULONG;

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/BLAS/blas_interface.hh
  class blas_interface (line 54) | class blas_interface

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/BLAS/blas_interface_impl.hh
  class blas_interface<SCALAR> (line 4) | class blas_interface<SCALAR> : public c_interface_base<SCALAR>
    method name (line 12) | static inline std::string name()
    method matrix_vector_product (line 17) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 21) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 25) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 29) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method rot (line 33) | static inline void rot(gene_vector & A,  gene_vector & B, SCALAR c, SC...
    method atv_product (line 37) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 41) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method transposed_matrix_matrix_product (line 45) | static inline void transposed_matrix_matrix_product(gene_matrix & A, g...
    method ata_product (line 49) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 53) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method axpy (line 57) | static inline void axpy(SCALAR coef, const gene_vector & X, gene_vecto...
    method axpby (line 61) | static inline void axpby(SCALAR a, const gene_vector & X, SCALAR b, ge...
    method cholesky (line 66) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method partial_lu_decomp (line 75) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method trisolve_lower (line 84) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 89) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 94) | static inline void trmm(gene_matrix & A, gene_matrix & B, gene_matrix ...
    method lu_decomp (line 100) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method hessenberg (line 111) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...
    method tridiagonalization (line 127) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/BLAS/c_interface_base.h
  type std (line 14) | typedef std::vector<real>         stl_vector;
  type std (line 15) | typedef std::vector<stl_vector >  stl_matrix;
  type real (line 17) | typedef real* gene_matrix;
  type real (line 18) | typedef real* gene_vector;
  function free_matrix (line 20) | static void free_matrix(gene_matrix & A, int /*N*/){
  function free_vector (line 24) | static void free_vector(gene_vector & B){
  function matrix_from_stl (line 28) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
  function vector_from_stl (line 36) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
  function vector_to_stl (line 43) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
  function matrix_to_stl (line 49) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
  function copy_vector (line 58) | static inline void copy_vector(const gene_vector & source, gene_vector &...
  function copy_matrix (line 63) | static inline void copy_matrix(const gene_matrix & source, gene_matrix &...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/BLAS/main.cpp
  function main (line 36) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/STL/STL_interface.hh
  class STL_interface (line 29) | class STL_interface{
    method name (line 42) | static inline std::string name( void )
    method free_matrix (line 47) | static void free_matrix(gene_matrix & /*A*/, int /*N*/){}
    method free_vector (line 49) | static void free_vector(gene_vector & /*B*/){}
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 55) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 59) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 64) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 68) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 75) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method ata_product (line 81) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 94) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_matrix_product (line 112) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 125) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 136) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 153) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 162) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method atv_product (line 171) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 182) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 187) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 192) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method real (line 203) | static inline real norm_diff(const stl_vector & A, const stl_vector & B)
    method real (line 217) | static inline real norm_diff(const stl_matrix & A, const stl_matrix & B)
    method display_vector (line 234) | static inline void display_vector(const stl_vector & A)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/STL/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blaze/blaze_interface.hh
  class blaze_interface (line 29) | class blaze_interface {
    method name (line 41) | static inline std::string name() { return "blaze"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method EIGEN_DONT_INLINE (line 84) | static EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix ...
    method EIGEN_DONT_INLINE (line 88) | static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const g...
    method EIGEN_DONT_INLINE (line 92) | static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, g...
    method EIGEN_DONT_INLINE (line 104) | static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector...
    method EIGEN_DONT_INLINE (line 108) | static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector ...
    method EIGEN_DONT_INLINE (line 112) | static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, rea...
    method copy_matrix (line 131) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 135) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blaze/main.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blitz/blitz_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blitz/blitz_interface.hh
  class blitz_interface (line 34) | class blitz_interface{
    method name (line 48) | static inline std::string name() { return "blitz"; }
    method free_matrix (line 50) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 52) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 54) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 63) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 70) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 76) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method ata_product (line 93) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 109) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 123) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method copy_matrix (line 130) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 140) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blitz/btl_blitz.cpp
  function main (line 34) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blitz/btl_tiny_blitz.cpp
  function main (line 29) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/blitz/tiny_blitz_interface.hh
  class tiny_blitz_interface (line 34) | class tiny_blitz_interface
    method name (line 47) | static inline std::string name() { return "tiny_blitz"; }
    method free_matrix (line 49) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 51) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 53) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 59) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 64) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 69) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 79) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 85) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 91) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 95) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method axpy (line 99) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/btl_tiny_eigen2.cpp
  function main (line 33) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/eigen2_interface.hh
  class eigen2_interface (line 31) | class eigen2_interface
    method name (line 46) | static inline std::string name( void )
    method free_matrix (line 57) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 59) | static void free_vector(gene_vector & B) {}
    method BTL_DONT_INLINE (line 61) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 71) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 79) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 85) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 96) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 100) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 104) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 108) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 112) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 120) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 124) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 128) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 132) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 136) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 140) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method cholesky (line 144) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 151) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method tridiagonalization (line 156) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 160) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/main_adv.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/main_linear.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/main_matmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen2/main_vecmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/btl_tiny_eigen3.cpp
  function main (line 33) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/eigen3_interface.hh
  class eigen3_interface (line 28) | class eigen3_interface
    method name (line 43) | static inline std::string name( void )
    method free_matrix (line 48) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 50) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 52) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 62) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 70) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 76) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 87) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 95) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 106) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method symv (line 110) | static inline void symv(const gene_matrix & A, const gene_vector & B, ...
    method triassign (line 115) | static void triassign(Dest& dst, const Src& src)
    method EIGEN_DONT_INLINE (line 160) | static EIGEN_DONT_INLINE void syr2(gene_matrix & A,  gene_vector & X, ...
    method EIGEN_DONT_INLINE (line 166) | static EIGEN_DONT_INLINE void ger(gene_matrix & A,  gene_vector & X, g...
    method EIGEN_DONT_INLINE (line 171) | static EIGEN_DONT_INLINE void rot(gene_vector & A,  gene_vector & B, r...
    method atv_product (line 175) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 179) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 183) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 187) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 191) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...
    method trisolve_lower (line 195) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 199) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 203) | static inline void trmm(const gene_matrix & L, const gene_matrix& B, g...
    method cholesky (line 207) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 216) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method partial_lu_decomp (line 220) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method tridiagonalization (line 228) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 234) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/main_adv.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/main_linear.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/main_matmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/eigen3/main_vecmat.cpp
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/gmm/gmm_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/gmm/gmm_interface.hh
  class gmm_interface (line 27) | class gmm_interface {
    method name (line 39) | static inline std::string name( void )
    method free_matrix (line 44) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 48) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 52) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 62) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 66) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 70) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 81) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 85) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 89) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 93) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 97) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 101) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 105) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 109) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 113) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 117) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 121) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method partial_lu_decomp (line 126) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method hessenberg (line 132) | static inline void hessenberg(const gene_matrix & X, gene_matrix & R, ...
    method tridiagonalization (line 137) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/gmm/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/mtl4/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/mtl4/mtl4_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/mtl4/mtl4_interface.hh
  class mtl4_interface (line 29) | class mtl4_interface {
    method name (line 41) | static inline std::string name() { return "mtl4"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 84) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method aat_product (line 99) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 103) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 107) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 111) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 115) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 130) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method copy_matrix (line 134) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 138) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tensors/main_linear.cpp
  function main (line 17) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tensors/main_matmat.cpp
  function main (line 16) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tensors/main_vecmat.cpp
  function main (line 16) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tensors/tensor_interface.hh
  class tensor_interface (line 19) | class tensor_interface
    method name (line 32) | static inline std::string name( void )
    method free_matrix (line 37) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 39) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 41) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 51) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 59) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 65) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 76) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 82) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method axpy (line 88) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 92) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tvmet/main.cpp
  function main (line 30) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/tvmet/tvmet_interface.hh
  class tvmet_interface (line 32) | class tvmet_interface{
    method name (line 44) | static inline std::string name() { return "tiny_tvmet"; }
    method free_matrix (line 46) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 48) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 50) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 61) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 77) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 81) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 89) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 93) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 97) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/ublas/main.cpp
  function main (line 27) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/btl/libs/ublas/ublas_interface.hh
  class ublas_interface (line 31) | class ublas_interface{
    method name (line 43) | static inline std::string name( void ) { return "ublas"; }
    method free_matrix (line 45) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 47) | static void free_vector(gene_vector & B) {}
    method matrix_from_stl (line 49) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 62) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 77) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 83) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method matrix_vector_product_slow (line 91) | static inline void matrix_vector_product_slow(gene_matrix & A, gene_ve...
    method matrix_matrix_product_slow (line 95) | static inline void matrix_matrix_product_slow(gene_matrix & A, gene_ma...
    method axpy_slow (line 99) | static inline void axpy_slow(const real coef, const gene_vector & X, g...
    method matrix_vector_product (line 105) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 109) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 113) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method axpy (line 117) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 121) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method ata_product (line 125) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 130) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method trisolve_lower (line 135) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/check_cache_queries.cpp
  function main (line 18) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/dense_solvers.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 24) | EIGEN_DONT_INLINE
  function bench (line 30) | void bench(int id, int rows, int size = Size)
  function main (line 87) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/eig33.cpp
  function computeRoots (line 49) | inline void computeRoots(const Matrix& m, Roots& roots)
  function eigen33 (line 86) | void eigen33(const Matrix& mat, Matrix& evecs, Vector& evals)
  function main (line 165) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/geometry.cpp
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE void transform(const Transformation& t, Data& data)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE void transform(const Quaternion<Scalar>& t, Data& data)
  type ToRotationMatrixWrapper (line 41) | struct ToRotationMatrixWrapper
    method ToRotationMatrixWrapper (line 45) | ToRotationMatrixWrapper(const T& o) : object(o) {}
  function EIGEN_DONT_INLINE (line 50) | EIGEN_DONT_INLINE void transform(const ToRotationMatrixWrapper<QType>& t...
  function EIGEN_DONT_INLINE (line 58) | EIGEN_DONT_INLINE void transform(const Transform<Scalar,Dim,Projective>&...
  type get_dim (line 63) | struct get_dim { enum { Dim = T::Dim }; }
  type get_dim<Matrix<S,R,C,O,MR,MC> > (line 65) | struct get_dim<Matrix<S,R,C,O,MR,MC> > { enum { Dim = R }; }
  type bench_impl (line 68) | struct bench_impl
    method EIGEN_DONT_INLINE (line 70) | static EIGEN_DONT_INLINE void run(const Transformation& t)
  type bench_impl<Transformation,0> (line 84) | struct bench_impl<Transformation,0>
    method EIGEN_DONT_INLINE (line 86) | static EIGEN_DONT_INLINE void run(const Transformation&) {}
  function EIGEN_DONT_INLINE (line 90) | EIGEN_DONT_INLINE void bench(const std::string& msg, const Transformatio...
  function main (line 97) | int main(int argc, char ** argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/gemm.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/gemm_common.h
  type SCALAR (line 13) | typedef SCALAR Scalar;
  type Matrix (line 15) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/gemv.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/gemv_common.h
  type SCALAR (line 14) | typedef SCALAR Scalar;
  type Matrix (line 16) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;
  type Matrix (line 17) | typedef Matrix<Scalar,Dynamic,1>       Vec;

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/gemvt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/lazy_gemm.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE
  function bench_t (line 54) | double bench_t(int t)
  function EIGEN_DONT_INLINE (line 62) | EIGEN_DONT_INLINE
  function main (line 83) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/llt.cpp
  function EIGEN_DONT_INLINE (line 4) | EIGEN_DONT_INLINE
  function main (line 12) | int main(int argc, char **argv)

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  function b (line 1) | function b(m){return F.reset(),m.each(function(b){var m=k-j.left-j.right...
  function b (line 1) | function b(j){return C.reset(),C.models(e),r&&C.models(f),s&&C.models(g)...
  function b (line 1) | function b(j){return j.each(function(j){function n(a){var b=2===j[a.seri...
  function b (line 1) | function b(y){return y.each(function(b){k=d3.select(this);var y=a.utils....
  function b (line 1) | function b(B){return A.reset(),B.each(function(b){function A(a){return x...
  function b (line 1) | function b(e){return r.reset(),r.models(c),e.each(function(e){var j=d3.s...
  function b (line 1) | function b(F){return E.reset(),F.each(function(b){function F(a,b){a.endA...
  function b (line 1) | function b(e){return r.reset(),r.models(c),e.each(function(e){var i=d3.s...
  function b (line 1) | function b(a){var b,c;return b=i=i||{},c=a[0].series,b=b[c]=b[c]||{},c=a...
  function c (line 1) | function c(a){var c,d,e=a[0],f=b(a),g=!1;for(c=1;c<arguments.length;c++)...
  function d (line 1) | function d(b){return U.reset(),b.each(function(b){function i(){if(T=!1,!...
  function b (line 1) | function b(z){return E.reset(),E.models(c),t&&E.models(d),u&&E.models(e)...
  function b (line 1) | function b(k){return t.reset(),k.each(function(b){var k=h-g.left-g.right...
  function b (line 1) | function b(p){return r.reset(),r.models(e),p.each(function(p){function q...
  function b (line 1) | function b(n){return v.reset(),v.models(s),n.each(function(n){var t=f-e....
  function b (line 1) | function b(k){return J.reset(),J.models(e),s&&J.models(f),t&&J.models(g)...
  function b (line 1) | function b(a){var b=c(a);return b>90?180:0}
  function c (line 1) | function c(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,...
  function d (line 1) | function d(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,...
  function e (line 1) | function e(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,...
  function f (line 1) | function f(a,b){var c=d3.interpolate(F.domain(),[l.x,l.x+l.dx]),d=d3.int...
  function g (line 1) | function g(a){var b=d3.interpolate({x:a.x0,dx:a.dx0,y:a.y0,dy:a.dy0},a);...
  function h (line 1) | function h(a){var b=B(a);I[b]||(I[b]={});var c=I[b];c.dx=a.dx,c.x=a.x,c....
  function i (line 1) | function i(a){a.forEach(function(a){var b=B(a),c=I[b];c?(a.dx0=c.dx,a.x0...
  function j (line 1) | function j(a){var d=v.selectAll("text"),g=v.selectAll("path");d.transiti...
  function k (line 1) | function k(f){return K.reset(),f.each(function(f){v=d3.select(this),m=a....
  function b (line 1) | function b(d){return n.reset(),n.models(c),d.each(function(d){var h=d3.s...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/trmv_lo.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/trmv_lot.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/trmv_up.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/perf_monitoring/trmv_upt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/product_threshold.cpp
  type map_size (line 11) | struct map_size { enum { ret = S }; }
  type map_size<10> (line 12) | struct map_size<10> { enum { ret = 20 }; }
  type map_size<11> (line 13) | struct map_size<11> { enum { ret = 50 }; }
  type map_size<12> (line 14) | struct map_size<12> { enum { ret = 100 }; }
  type map_size<13> (line 15) | struct map_size<13> { enum { ret = 300 }; }
  type alt_prod (line 17) | struct alt_prod
  function print_mode (line 28) | void print_mode(int mode)
  function EIGEN_DONT_INLINE (line 39) | EIGEN_DONT_INLINE void prod(const Lhs& a, const Rhs& b, Res& c)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void bench_prod()
  type print_n (line 69) | struct print_n
    method run (line 129) | static void run()
  type loop_on_m (line 70) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_n (line 71) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_k (line 74) | struct loop_on_k
    method run (line 76) | static void run()
  type loop_on_k<M,N,END> (line 90) | struct loop_on_k<M,N,END> { static void run(){} }
    method run (line 90) | static void run(){}
  type loop_on_m (line 94) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_m<END,N,K> (line 111) | struct loop_on_m<END,N,K> { static void run(){} }
    method run (line 111) | static void run(){}
  type loop_on_n (line 114) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_n<M,END,K,Scalar,Mode> (line 125) | struct loop_on_n<M,END,K,Scalar,Mode> { static void run(){} }
    method run (line 125) | static void run(){}
  type print_n (line 127) | struct print_n
    method run (line 129) | static void run()
  type print_n<END> (line 136) | struct print_n<END> { static void run(){} }
    method run (line 136) | static void run(){}
  function main (line 138) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/quat_slerp.cpp
  function EIGEN_DONT_INLINE (line 11) | EIGEN_DONT_INLINE Q nlerp(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE Q slerp_eigen(const Q& a, const Q& b, typename Q::Scal...
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE Q slerp_legacy(const Q& a, const Q& b, typename Q::Sca...
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE Q slerp_legacy_nlerp(const Q& a, const Q& b, typename ...
  function T (line 76) | inline T sin_over_x(T x)
  function EIGEN_DONT_INLINE (line 85) | EIGEN_DONT_INLINE Q slerp_rw(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 109) | EIGEN_DONT_INLINE Q slerp_gael(const Q& a, const Q& b, typename Q::Scala...
  function main (line 144) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/quatmul.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE void quatmul_default(const Quat& a, const Quat& b, Qua...
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE void quatmul_novec(const Quat& a, const Quat& b, Quat& c)
  function bench (line 20) | void bench(const std::string& label)
  function main (line 39) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_cholesky.cpp
  function fillSpdMatrix (line 44) | void fillSpdMatrix(float density, int rows, int cols,  EigenSparseSelfAd...
  function doEigen (line 64) | void doEigen(const char* name, const EigenSparseSelfAdjointMatrix& sm1, ...
  function main (line 77) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_dense_product.cpp
  function cs (line 38) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function main (line 52) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_lu.cpp
  function doEigen (line 46) | void doEigen(const char* name, const EigenSparseMatrix& sm1, const Vecto...
  function main (line 72) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_product.cpp
  function cs (line 64) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function cs (line 83) | cs* cs_sorted_multiply2(const cs* a, const cs* b)
  function main (line 96) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_randomsetter.cpp
  function dostuff (line 45) | void dostuff(const char* name, EigenSparseMatrix& sm1)
  function main (line 65) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_setter.cpp
  function main (line 61) | int main(int argc, char *argv[])
  function EIGEN_DONT_INLINE (line 194) | EIGEN_DONT_INLINE Scalar* setinnerrand_eigen(const Coordinates& coords, ...
  function EIGEN_DONT_INLINE (line 208) | EIGEN_DONT_INLINE Scalar* setrand_eigen_dynamic(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 222) | EIGEN_DONT_INLINE Scalar* setrand_eigen_sumeq(const Coordinates& coords,...
  function EIGEN_DONT_INLINE (line 241) | EIGEN_DONT_INLINE Scalar* setrand_eigen_compact(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 255) | EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coor...
  function EIGEN_DONT_INLINE (line 271) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& ...
  function EIGEN_DONT_INLINE (line 284) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates&...
  function coo_tocsr (line 300) | void coo_tocsr(const int n_row,
  function kv_pair_less (line 345) | bool kv_pair_less(const std::pair<T1,T2>& x, const std::pair<T1,T2>& y){
  function csr_sort_indices (line 351) | void csr_sort_indices(const I n_row,
  function csr_sum_duplicates (line 378) | void csr_sum_duplicates(const I n_row,
  function EIGEN_DONT_INLINE (line 405) | EIGEN_DONT_INLINE Scalar* setrand_scipy(const Coordinates& coords, const...
  function EIGEN_DONT_INLINE (line 425) | EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords...
  function EIGEN_DONT_INLINE (line 464) | EIGEN_DONT_INLINE Scalar* setrand_ublas_genvec(const Coordinates& coords...

FILE: VO_Module/thirdparty/lietorch/eigen/bench/sparse_trisolver.cpp
  function fillMatrix (line 40) | void fillMatrix(float density, int rows, int cols,  EigenSparseTriMatrix...
  function main (line 56) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spbench/sp_solver.cpp
  function main (line 20) | int main(int argc, char **args)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spbench/spbenchsolver.cpp
  function bench_printhelp (line 3) | void bench_printhelp()
  function main (line 22) | int main(int argc, char ** args)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spbench/spbenchsolver.h
  function printStatheader (line 96) | void printStatheader(std::ofstream& out)
  type SparseMatrix (line 318) | typedef SparseMatrix<Scalar, ColMajor> SpMat;

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spbench/spbenchstyle.h
  function printBenchStyle (line 13) | void printBenchStyle(std::ofstream& out)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spbench/test_sparseLU.cpp
  function main (line 17) | int main(int argc, char **args)

FILE: VO_Module/thirdparty/lietorch/eigen/bench/spmv.cpp
  function main (line 37) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/bench/tensors/benchmark.h
  function namespace (line 20) | namespace testing {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/tensors/benchmark_main.cc
  function BenchmarkMap (line 32) | BenchmarkMap& gBenchmarks() {
  function Round (line 39) | static int Round(int n) {
  function init_info (line 56) | static void __attribute__((constructor)) init_info() {
  function NanoTime (line 61) | static int64_t NanoTime() {
  type testing (line 73) | namespace testing {
    function Benchmark (line 74) | Benchmark* Benchmark::Arg(int arg) {
    function Benchmark (line 79) | Benchmark* Benchmark::Range(int lo, int hi) {
  function SetBenchmarkFlopsProcessed (line 193) | void SetBenchmarkFlopsProcessed(int64_t x) {
  function StopBenchmarkTiming (line 196) | void StopBenchmarkTiming() {
  function StartBenchmarkTiming (line 202) | void StartBenchmarkTiming() {
  function main (line 207) | int main(int argc, char* argv[]) {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/tensors/tensor_benchmarks.h
  type TensorIndex (line 4) | typedef int TensorIndex;
  function memcpy (line 41) | void memcpy(int num_iters) {
  function typeCasting (line 56) | void typeCasting(int num_iters) {
  function random (line 81) | void random(int num_iters) {
  function slicing (line 100) | void slicing(int num_iters) {
  function rowChip (line 142) | void rowChip(int num_iters) {
  function colChip (line 163) | void colChip(int num_iters) {
  function shuffling (line 184) | void shuffling(int num_iters) {
  function padding (line 211) | void padding(int num_iters) {
  function striding (line 243) | void striding(int num_iters) {
  function broadcasting (line 278) | void broadcasting(int num_iters) {
  function coeffWiseOp (line 312) | void coeffWiseOp(int num_iters) {
  function algebraicFunc (line 334) | void algebraicFunc(int num_iters) {
  function transcendentalFunc (line 357) | void transcendentalFunc(int num_iters) {
  function rowReduction (line 380) | void rowReduction(int num_iters) {
  function colReduction (line 412) | void colReduction(int num_iters) {
  function fullReduction (line 446) | void fullReduction(int num_iters) {
  function contraction (line 472) | void contraction(int num_iters) {
  function contractionRowMajor (line 476) | void contractionRowMajor(int num_iters) {
  function contractionRowMajorAT (line 480) | void contractionRowMajorAT(int num_iters) {
  function contractionRowMajorBT (line 484) | void contractionRowMajorBT(int num_iters) {
  function contractionRowMajorABT (line 488) | void contractionRowMajorABT(int num_iters) {
  function convolution (line 492) | void convolution(int num_iters, int kernel_x, int kernel_y) {
  type typename (line 541) | typedef typename Tensor<T, 2, Layout>::DimensionPair DimPair;
  function initialize (line 560) | void initialize() {
  function finalizeBenchmark (line 573) | inline void finalizeBenchmark(int64_t num_items) {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/tensors/tensor_contract_sycl_bench.cc
  function get_time (line 32) | std::chrono::time_point<std::chrono::system_clock> get_time(){
  function finalizeBenchmark (line 38) | void finalizeBenchmark(Start start, End end, TensorIndex m_, TensorIndex...
  function contraction (line 49) | void contraction(const Device& device_, TensorIndex num_iters, TensorInd...
  function contractionRowMajor (line 103) | void contractionRowMajor(const Device& device_, TensorIndex num_iters, T...
  function contractionAT (line 155) | void contractionAT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionBT (line 206) | void contractionBT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionABT (line 258) | void contractionABT(const Device& device_, TensorIndex num_iters, Tensor...
  function main (line 308) | int main() {

FILE: VO_Module/thirdparty/lietorch/eigen/bench/vdw_new.cpp
  function SCALAR (line 22) | SCALAR E_VDW(const Vec &interactions1, const Vec &interactions2)
  function main (line 31) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/blas/BandTriangularSolver.h
  type Map (line 26) | typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;

FILE: VO_Module/thirdparty/lietorch/eigen/blas/GeneralRank1Update.h
  function namespace (line 13) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/blas/PackedSelfadjointProduct.h
  function namespace (line 13) | namespace internal {
  function run (line 45) | static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar a...

FILE: VO_Module/thirdparty/lietorch/eigen/blas/PackedTriangularMatrixVector.h
  function namespace (line 13) | namespace internal {
  function run (line 56) | static void run(Index size, const LhsScalar* lhs, const RhsScalar* rhs, ...

FILE: VO_Module/thirdparty/lietorch/eigen/blas/PackedTriangularSolverVector.h
  function namespace (line 13) | namespace internal {
  function run (line 53) | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs)

FILE: VO_Module/thirdparty/lietorch/eigen/blas/Rank2Update.h
  function namespace (line 13) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/blas/common.h
  function check_op (line 65) | inline bool check_op(const char* op)
  function check_side (line 70) | inline bool check_side(const char* side)
  function check_uplo (line 75) | inline bool check_uplo(const char* uplo)
  function namespace (line 81) | namespace Eigen {
  type SCALAR (line 92) | typedef SCALAR Scalar;
  type NumTraits (line 93) | typedef NumTraits<Scalar>::Real RealScalar;
  type std (line 94) | typedef std::complex<RealScalar> Complex;
  type Matrix (line 102) | typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
  type Map (line 103) | typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > ...
  type Map (line 104) | typedef Map<const Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStrid...
  type Map (line 105) | typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedV...
  type Map (line 106) | typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType;

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/chbmv.c
  function chbmv_ (line 15) | int chbmv_(char *uplo, integer *n, integer *k, complex *

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/chpmv.c
  function chpmv_ (line 15) | int chpmv_(char *uplo, integer *n, complex *alpha, complex *

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/complexdots.c
  function complex (line 21) | complex cdotc_(integer *n, complex *cx, integer
  function complex (line 37) | complex cdotu_(integer *n, complex *cx, integer
  function doublecomplex (line 53) | doublecomplex zdotc_(integer *n, doublecomplex *cx, integer *incx,
  function doublecomplex (line 69) | doublecomplex zdotu_(integer *n, doublecomplex *cx, integer *incx,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/ctbmv.c
  function ctbmv_ (line 15) | int ctbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/d_cnjg.c
  function d_cnjg (line 3) | void d_cnjg(doublecomplex *r, doublecomplex *z) {

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/datatypes.h
  type integer (line 8) | typedef int integer;
  type uinteger (line 9) | typedef unsigned int uinteger;
  type real (line 10) | typedef float real;
  type doublereal (line 11) | typedef double doublereal;
  type complex (line 12) | typedef struct { real r, i; } complex;
  type doublecomplex (line 13) | typedef struct { doublereal r, i; } doublecomplex;
  type ftnlen (line 14) | typedef int ftnlen;
  type logical (line 15) | typedef int logical;

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/drotm.c
  function drotm_ (line 15) | int drotm_(integer *n, doublereal *dx, integer *incx,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/drotmg.c
  function drotmg_ (line 15) | int drotmg_(doublereal *dd1, doublereal *dd2, doublereal *

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/dsbmv.c
  function dsbmv_ (line 15) | int dsbmv_(char *uplo, integer *n, integer *k, doublereal *

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/dspmv.c
  function dspmv_ (line 15) | int dspmv_(char *uplo, integer *n, doublereal *alpha,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/dtbmv.c
  function dtbmv_ (line 15) | int dtbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/lsame.c
  function logical (line 15) | logical lsame_(char *ca, char *cb, ftnlen ca_len, ftnlen cb_len)

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/r_cnjg.c
  function r_cnjg (line 3) | void r_cnjg(complex *r, complex *z) {

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/srotm.c
  function srotm_ (line 15) | int srotm_(integer *n, real *sx, integer *incx, real *sy,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/srotmg.c
  function srotmg_ (line 15) | int srotmg_(real *sd1, real *sd2, real *sx1, real *sy1, real

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/ssbmv.c
  function ssbmv_ (line 15) | int ssbmv_(char *uplo, integer *n, integer *k, real *alpha,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/sspmv.c
  function sspmv_ (line 15) | int sspmv_(char *uplo, integer *n, real *alpha, real *ap,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/stbmv.c
  function stbmv_ (line 15) | int stbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/zhbmv.c
  function zhbmv_ (line 15) | int zhbmv_(char *uplo, integer *n, integer *k, doublecomplex

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/zhpmv.c
  function zhpmv_ (line 15) | int zhpmv_(char *uplo, integer *n, doublecomplex *alpha,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/f2c/ztbmv.c
  function ztbmv_ (line 15) | int ztbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: VO_Module/thirdparty/lietorch/eigen/blas/level1_cplx_impl.h
  type scalar_norm1_op (line 12) | struct scalar_norm1_op {
  function namespace (line 17) | namespace Eigen {
  function RealScalar (line 28) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(asum))(int *n, ...
  function RealScalar (line 106) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(nrm2))(int *n, ...

FILE: VO_Module/thirdparty/lietorch/eigen/blas/level1_real_impl.h
  function RealScalar (line 14) | RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx)
  function Scalar (line 49) | Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScala...
  function Scalar (line 68) | Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx)

FILE: VO_Module/thirdparty/lietorch/eigen/blas/level2_impl.h
  type general_matrix_vector_product_wrapper (line 13) | struct general_matrix_vector_product_wrapper
  function ConstMatrixType (line 257) | ConstMatrixType mat_coeffs(a,coeff_rows,*n,*lda);
  function MatrixType (line 312) | MatrixType mat_coeffs(a,coeff_rows,*n,*lda);

FILE: VO_Module/thirdparty/lietorch/eigen/blas/xerbla.cpp
  function EIGEN_WEAK_LINKING (line 15) | EIGEN_WEAK_LINKING int xerbla_(const char * msg, int *info, int)

FILE: VO_Module/thirdparty/lietorch/eigen/debug/gdb/printers.py
  class _MatrixEntryIterator (line 34) | class _MatrixEntryIterator(object):
    method __init__ (line 36) | def __init__ (self, rows, cols, rowMajor):
    method __iter__ (line 43) | def __iter__ (self):
    method next (line 46) | def next(self):
    method __next__ (line 49) | def __next__(self):
  class EigenMatrixPrinter (line 71) | class EigenMatrixPrinter:
    method __init__ (line 74) | def __init__(self, variety, val):
    class _iterator (line 117) | class _iterator(_MatrixEntryIterator):
      method __init__ (line 118) | def __init__ (self, rows, cols, dataPtr, rowMajor):
      method __next__ (line 123) | def __next__(self):
    method children (line 135) | def children(self):
    method to_string (line 139) | def to_string(self):
  class EigenSparseMatrixPrinter (line 142) | class EigenSparseMatrixPrinter:
    method __init__ (line 145) | def __init__(self, val):
    class _iterator (line 171) | class _iterator(_MatrixEntryIterator):
      method __init__ (line 172) | def __init__ (self, rows, cols, val, rowMajor):
      method __next__ (line 177) | def __next__(self):
    method children (line 206) | def children(self):
    method rows (line 213) | def rows(self):
    method cols (line 216) | def cols(self):
    method to_string (line 219) | def to_string(self):
  class EigenQuaternionPrinter (line 231) | class EigenQuaternionPrinter:
    method __init__ (line 234) | def __init__(self, val):
    class _iterator (line 248) | class _iterator:
      method __init__ (line 249) | def __init__ (self, dataPtr):
      method __iter__ (line 254) | def __iter__ (self):
      method next (line 257) | def next(self):
      method __next__ (line 260) | def __next__(self):
    method children (line 272) | def children(self):
    method to_string (line 276) | def to_string(self):
  function build_eigen_dictionary (line 279) | def build_eigen_dictionary ():
  function register_eigen_printers (line 285) | def register_eigen_printers(obj):
  function lookup_function (line 292) | def lookup_function(val):

FILE: VO_Module/thirdparty/lietorch/eigen/demos/mandelbrot/mandelbrot.cpp
  type iters_before_test (line 28) | struct iters_before_test { enum { ret = 8 }; }
  type iters_before_test<double> (line 29) | struct iters_before_test<double> { enum { ret = 16 }; }
  function main (line 205) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/demos/mandelbrot/mandelbrot.h
  function class (line 20) | class MandelbrotThread : public QThread
  function class (line 34) | class MandelbrotWidget : public QWidget

FILE: VO_Module/thirdparty/lietorch/eigen/demos/mix_eigen_and_c/binary_library.cpp
  function MatrixXd (line 23) | inline MatrixXd& c_to_eigen(C_MatrixXd* ptr)
  function MatrixXd (line 28) | inline const MatrixXd& c_to_eigen(const C_MatrixXd* ptr)
  function C_MatrixXd (line 33) | inline C_MatrixXd* eigen_to_c(MatrixXd& ref)
  function C_MatrixXd (line 38) | inline const C_MatrixXd* eigen_to_c(const MatrixXd& ref)
  function C_Map_MatrixXd (line 55) | inline C_Map_MatrixXd* eigen_to_c(Map<MatrixXd>& ref)
  function C_Map_MatrixXd (line 60) | inline const C_Map_MatrixXd* eigen_to_c(const Map<MatrixXd>& ref)
  function C_MatrixXd (line 72) | C_MatrixXd* MatrixXd_new(int rows, int cols)
  function MatrixXd_delete (line 77) | void MatrixXd_delete(C_MatrixXd *m)
  function MatrixXd_set_zero (line 87) | void MatrixXd_set_zero(C_MatrixXd *m)
  function MatrixXd_resize (line 92) | void MatrixXd_resize(C_MatrixXd *m, int rows, int cols)
  function MatrixXd_copy (line 97) | void MatrixXd_copy(C_MatrixXd *dst, const C_MatrixXd *src)
  function MatrixXd_copy_map (line 102) | void MatrixXd_copy_map(C_MatrixXd *dst, const C_Map_MatrixXd *src)
  function MatrixXd_set_coeff (line 107) | void MatrixXd_set_coeff(C_MatrixXd *m, int i, int j, double coeff)
  function MatrixXd_get_coeff (line 112) | double MatrixXd_get_coeff(const C_MatrixXd *m, int i, int j)
  function MatrixXd_print (line 117) | void MatrixXd_print(const C_MatrixXd *m)
  function MatrixXd_multiply (line 122) | void MatrixXd_multiply(const C_MatrixXd *m1, const C_MatrixXd *m2, C_Mat...
  function MatrixXd_add (line 127) | void MatrixXd_add(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd...
  function C_Map_MatrixXd (line 137) | C_Map_MatrixXd* Map_MatrixXd_new(double *array, int rows, int cols)
  function Map_MatrixXd_delete (line 142) | void Map_MatrixXd_delete(C_Map_MatrixXd *m)
  function Map_MatrixXd_set_zero (line 147) | void Map_MatrixXd_set_zero(C_Map_MatrixXd *m)
  function Map_MatrixXd_copy (line 152) | void Map_MatrixXd_copy(C_Map_MatrixXd *dst, const C_Map_MatrixXd *src)
  function Map_MatrixXd_copy_matrix (line 157) | void Map_MatrixXd_copy_matrix(C_Map_MatrixXd *dst, const C_MatrixXd *src)
  function Map_MatrixXd_set_coeff (line 162) | void Map_MatrixXd_set_coeff(C_Map_MatrixXd *m, int i, int j, double coeff)
  function Map_MatrixXd_get_coeff (line 167) | double Map_MatrixXd_get_coeff(const C_Map_MatrixXd *m, int i, int j)
  function Map_MatrixXd_print (line 172) | void Map_MatrixXd_print(const C_Map_MatrixXd *m)
  function Map_MatrixXd_multiply (line 177) | void Map_MatrixXd_multiply(const C_Map_MatrixXd *m1, const C_Map_MatrixX...
  function Map_MatrixXd_add (line 182) | void Map_MatrixXd_add(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2...

FILE: VO_Module/thirdparty/lietorch/eigen/demos/mix_eigen_and_c/binary_library.h
  type C_MatrixXd (line 22) | struct C_MatrixXd {}
  type C_Map_MatrixXd (line 23) | struct C_Map_MatrixXd {}
  type C_MatrixXd (line 27) | struct C_MatrixXd
  type C_MatrixXd (line 28) | struct C_MatrixXd
  type C_MatrixXd (line 29) | struct C_MatrixXd
  type C_MatrixXd (line 30) | struct C_MatrixXd
  type C_MatrixXd (line 31) | struct C_MatrixXd
  type C_MatrixXd (line 32) | struct C_MatrixXd
  type C_MatrixXd (line 33) | struct C_MatrixXd
  type C_MatrixXd (line 34) | struct C_MatrixXd
  type C_Map_MatrixXd (line 35) | struct C_Map_MatrixXd
  type C_MatrixXd (line 36) | struct C_MatrixXd
  type C_MatrixXd (line 38) | struct C_MatrixXd
  type C_MatrixXd (line 40) | struct C_MatrixXd
  type C_MatrixXd (line 41) | struct C_MatrixXd
  type C_MatrixXd (line 42) | struct C_MatrixXd
  type C_MatrixXd (line 43) | struct C_MatrixXd
  type C_MatrixXd (line 44) | struct C_MatrixXd
  type C_MatrixXd (line 45) | struct C_MatrixXd
  type C_MatrixXd (line 46) | struct C_MatrixXd
  type C_Map_MatrixXd (line 50) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 51) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 52) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 53) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 54) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 55) | struct C_Map_MatrixXd
  type C_MatrixXd (line 56) | struct C_MatrixXd
  type C_Map_MatrixXd (line 57) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 59) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 61) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 62) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 63) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 64) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 65) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 66) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 67) | struct C_Map_MatrixXd

FILE: VO_Module/thirdparty/lietorch/eigen/demos/mix_eigen_and_c/example.c
  function demo_MatrixXd (line 13) | void demo_MatrixXd()
  function print_array (line 35) | void print_array(double *array, int n)
  function demo_Map_MatrixXd (line 42) | void demo_Map_MatrixXd()
  function main (line 61) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/camera.cpp
  function Camera (line 34) | Camera& Camera::operator=(const Camera& other)
  function Vector3f (line 89) | Vector3f Camera::direction(void) const
  function Vector3f (line 93) | Vector3f Camera::up(void) const
  function Vector3f (line 97) | Vector3f Camera::right(void) const
  function Affine3f (line 205) | const Affine3f& Camera::viewMatrix(void) const
  function Matrix4f (line 232) | const Matrix4f& Camera::projectionMatrix(void) const
  function Vector3f (line 246) | Vector3f Camera::unProject(const Vector2f& uv, float depth) const
  function Vector3f (line 252) | Vector3f Camera::unProject(const Vector2f& uv, float depth, const Matrix...

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/camera.h
  function class (line 17) | class Frame
  function class (line 36) | class Camera

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/gpuhelper.h
  type Vector4f (line 19) | typedef Vector4f Color;
  function class (line 21) | class GpuHelper
  function loadMatrix (line 120) | static void loadMatrix(const Matrix<float, 4,4, _Flags, 4,4>&  mat) { gl...
  function loadMatrix (line 121) | static void loadMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glL...
  function multMatrix (line 122) | static void multMatrix(const Matrix<float, 4,4, _Flags, 4,4>&  mat) { gl...
  function multMatrix (line 123) | static void multMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glM...
  function loadMatrix (line 128) | static void loadMatrix(const Matrix<float, 4,4, _Flags, 4,4>&  mat) { gl...
  function loadMatrix (line 129) | static void loadMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glL...
  function multMatrix (line 130) | static void multMatrix(const Matrix<float, 4,4, _Flags, 4,4>&  mat) { gl...
  function multMatrix (line 131) | static void multMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glM...
  function setMatrixTarget (line 134) | inline void GpuHelper::setMatrixTarget(GLenum matrixTarget)
  function pushMatrix (line 163) | inline void GpuHelper::pushMatrix(GLenum matrixTarget)
  function popMatrix (line 185) | inline void GpuHelper::popMatrix(GLenum matrixTarget)
  function draw (line 191) | inline void GpuHelper::draw(GLenum mode, uint nofElement)
  function draw (line 197) | inline void GpuHelper::draw(GLenum mode, const std::vector<uint>* pIndexes)
  function draw (line 202) | inline void GpuHelper::draw(GLenum mode, uint start, uint end)

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/icosphere.h
  function class (line 16) | class IcoSphere

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/quaternion_demo.cpp
  class FancySpheres (line 30) | class FancySpheres
    method EIGEN_MAKE_ALIGNED_OPERATOR_NEW (line 33) | EIGEN_MAKE_ALIGNED_OPERATOR_NEW
    method draw (line 95) | void draw()
  function T (line 117) | T lerp(float t, const T& a, const T& b)
  function Quaternionf (line 123) | Quaternionf lerp(float t, const Quaternionf& a, const Quaternionf& b)
  function Frame (line 129) | inline static Frame lerpFrame(float alpha, const Frame& a, const Frame& b)
  class EulerAngles (line 135) | class EulerAngles
    method EulerAngles (line 150) | EulerAngles() {}
    method EulerAngles (line 151) | inline EulerAngles(Scalar a0, Scalar a1, Scalar a2) : m_angles(a0, a1,...
    method EulerAngles (line 152) | inline EulerAngles(const QuaternionType& q) { *this = q; }
    method Vector3 (line 154) | const Vector3& coeffs() const { return m_angles; }
    method Vector3 (line 155) | Vector3& coeffs() { return m_angles; }
    method EulerAngles (line 157) | EulerAngles& operator=(const QuaternionType& q)
    method EulerAngles (line 163) | EulerAngles& operator=(const Matrix3& m)
    method Matrix3 (line 174) | Matrix3 toRotationMatrix(void) const
  function lerp (line 189) | EulerAngles<float> lerp(float t, const EulerAngles<float>& a, const Eule...
  function QWidget (line 551) | QWidget* RenderingWidget::createNavigationControlWidget()
  function main (line 635) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/quaternion_demo.h
  function class (line 22) | class RenderingWidget : public QGLWidget
  function class (line 105) | class QuaternionDemo : public QMainWindow

FILE: VO_Module/thirdparty/lietorch/eigen/demos/opengl/trackball.h
  function class (line 17) | class Trackball

FILE: VO_Module/thirdparty/lietorch/eigen/doc/eigen_navtree_hacks.js
  function generate_autotoc (line 3) | function generate_autotoc() {
  function getNode (line 54) | function getNode(o, po)
  function resizeHeight (line 66) | function resizeHeight()
  function initNavTree (line 85) | function initNavTree(toroot,relpath)
  function checkChildrenData (line 145) | function checkChildrenData(node) {
  function createIndent (line 160) | function createIndent(o,domNode,node,level)
  function selectAndHighlight (line 194) | function selectAndHighlight(hash,n)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/CustomizingEigen_Inheritance.cpp
  class MyVectorType (line 4) | class MyVectorType : public Eigen::VectorXd
    method MyVectorType (line 7) | MyVectorType(void):Eigen::VectorXd() {}
    method MyVectorType (line 11) | MyVectorType(const Eigen::MatrixBase<OtherDerived>& other)
    method MyVectorType (line 17) | MyVectorType& operator=(const Eigen::MatrixBase <OtherDerived>& other)
  function main (line 24) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Cwise_erf.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Cwise_erfc.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Cwise_lgamma.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/DenseBase_middleCols_int.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/DenseBase_middleRows_int.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/DenseBase_template_int_middleCols.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/DenseBase_template_int_middleRows.cpp
  function main (line 7) | int main(void)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/QuickStart_example.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/QuickStart_example2_dynamic.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/QuickStart_example2_fixed.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TemplateKeyword_flexible.cpp
  function copyUpperTriangularPart (line 7) | void copyUpperTriangularPart(MatrixBase<Derived1>& dst, const MatrixBase...
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TemplateKeyword_simple.cpp
  function copyUpperTriangularPart (line 6) | void copyUpperTriangularPart(MatrixXf& dst, const MatrixXf& src)
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialInplaceLU.cpp
  type init (line 2) | struct init {
    method init (line 3) | init() { std::cout << "[" << "init" << "]" << std::endl; }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgComputeTwice.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgExComputeSolveError.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgExSolveColPivHouseholderQR.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgExSolveLDLT.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgInverseDeterminant.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgRankRevealing.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgSelfAdjointEigenSolver.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/TutorialLinAlgSetThreshold.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_accessors.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_addition.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_cwise_other.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_interop.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_interop_matrix.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ArrayClass_mult.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_BlockOperations_block_assignment.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_BlockOperations_colrow.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_BlockOperations_corner.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_BlockOperations_print_block.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_BlockOperations_vector.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_PartialLU_solve.cpp
  function main (line 8) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_colwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_bool.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_norm.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_operatornorm.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_rowwise.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_visitors.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/Tutorial_simple_example_fixed_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_Block.cpp
  function topLeftCorner (line 7) | Eigen::Block<Derived>
  function topLeftCorner (line 14) | const Eigen::Block<const Derived>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_CwiseBinaryOp.cpp
  type MakeComplexOp (line 7) | struct MakeComplexOp {
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_CwiseUnaryOp.cpp
  type CwiseClampOp (line 8) | struct CwiseClampOp {
    method CwiseClampOp (line 9) | CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup...
    method Scalar (line 10) | const Scalar operator()(const Scalar& x) const { return x<m_inf ? m_in...
  function main (line 14) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_CwiseUnaryOp_ptrfun.cpp
  function ramp (line 7) | double ramp(double x)
  function main (line 15) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_FixedBlock.cpp
  function topLeft2x2Corner (line 7) | Eigen::Block<Derived, 2, 2>
  function topLeft2x2Corner (line 14) | const Eigen::Block<const Derived, 2, 2>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_FixedReshaped.cpp
  function reshape_helper (line 7) | Eigen::Reshaped<Derived, 4, 2>
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_FixedVectorBlock.cpp
  function firstTwo (line 7) | Eigen::VectorBlock<Derived, 2>
  function firstTwo (line 14) | const Eigen::VectorBlock<const Derived, 2>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_Reshaped.cpp
  function reshape_helper (line 7) | const Reshaped<const Derived>
  function main (line 13) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/class_VectorBlock.cpp
  function segmentFromRange (line 7) | Eigen::VectorBlock<Derived>
  function segmentFromRange (line 14) | const Eigen::VectorBlock<const Derived>
  function main (line 20) | int main(int, char**)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/function_taking_eigenbase.cpp
  function print_size (line 6) | void print_size(const EigenBase<Derived>& b)
  function main (line 12) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/function_taking_ref.cpp
  function inv_cond (line 6) | float inv_cond(const Ref<const MatrixXf>& a)
  function main (line 12) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/make_circulant2.cpp
  class circulant_functor (line 8) | class circulant_functor {
    method circulant_functor (line 11) | circulant_functor(const ArgType& arg) : m_vec(arg) {}
  type circulant_helper (line 23) | struct circulant_helper {
  function makeCirculant (line 35) | CwiseNullaryOp<circulant_functor<ArgType>, typename circulant_helper<Arg...
  function main (line 44) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/matrixfree_cg.cpp
  class MatrixReplacement (line 7) | class MatrixReplacement
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 10) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  class MatrixReplacement (line 21) | class MatrixReplacement : public Eigen::EigenBase<MatrixReplacement> {
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 55) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  function main (line 82) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/nullary_indexing.cpp
  class indexing_functor (line 8) | class indexing_functor {
    method indexing_functor (line 20) | indexing_functor(const ArgType& arg, const RowIndexType& row_indices, ...
  function mat_indexing (line 32) | CwiseNullaryOp<indexing_functor<ArgType,RowIndexType,ColIndexType>, type...
  function main (line 42) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_arithmetic_add_sub.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_arithmetic_dot_cross.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_arithmetic_matrix_mul.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_arithmetic_redux_basic.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_arithmetic_scalar_mul_div.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_matrix_coefficient_accessors.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_matrix_resize.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/examples/tut_matrix_resize_fixed_size.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/doc/snippets/Slicing_custom_padding_cxx11.cpp
  type pad (line 1) | struct pad {
    method Index (line 2) | Index size() const { return out_size; }
    method Index (line 3) | Index operator[] (Index i) const { return std::max<Index>(0,i-(out_siz...

FILE: VO_Module/thirdparty/lietorch/eigen/doc/special_examples/Tutorial_sparse_example.cpp
  function main (line 11) | int main(int argc, char** argv)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp
  function insertCoefficient (line 8) | void insertCoefficient(int id, int i, int j, double w, std::vector<T>& c...
  function buildProblem (line 19) | void buildProblem(std::vector<T>& coefficients, Eigen::VectorXd& b, int n)
  function saveAsBitmap (line 37) | void saveAsBitmap(const Eigen::VectorXd& x, int n, const char* filename)

FILE: VO_Module/thirdparty/lietorch/eigen/doc/special_examples/random_cpp11.cpp
  function main (line 7) | int main() {

FILE: VO_Module/thirdparty/lietorch/eigen/doc/tutorial.cpp
  function main (line 3) | int main(int argc, char *argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/bdcsvd_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/block_nonconst_ctor_on_const_xpr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/block_nonconst_ctor_on_const_xpr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/block_nonconst_ctor_on_const_xpr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/block_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/block_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/colpivqr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/const_qualified_block_method_retval_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/const_qualified_block_method_retval_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/const_qualified_diagonal_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/const_qualified_transpose_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/cwiseunaryview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/cwiseunaryview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/diagonal_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/diagonal_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/eigensolver_cplx.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/eigensolver_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/fullpivlu_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/fullpivqr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/initializer_list_1.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/initializer_list_2.cpp
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/jacobisvd_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ldlt_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/llt_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_nonconst_ctor_on_const_ptr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_nonconst_ctor_on_const_ptr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex size){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_nonconst_ctor_on_const_ptr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_nonconst_ctor_on_const_ptr_3.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_nonconst_ctor_on_const_ptr_4.cpp
  function foo (line 11) | void foo(const float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/map_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/partialpivlu_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/qr_int.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<VectorXf> a) { }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<VectorXf> a) { }
  function call_ref (line 8) | void call_ref(const Ref<const VectorXf> &a) { }
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<MatrixXf,0,OuterStride<> > a) {}
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/selfadjointview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/selfadjointview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 13) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function call_ref (line 8) | void call_ref(const Ref<const SparseMatrix<float> > &a) { }
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) {}
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/sparse_storage_mismatch.cpp
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/swap_1.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/swap_2.cpp
  function main (line 5) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ternary_1.cpp
  function main (line 5) | int main(int argc,char **)

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/ternary_2.cpp
  function main (line 5) | int main(int argc,char **)

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/transpose_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/transpose_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/triangularview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/failtest/triangularview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: VO_Module/thirdparty/lietorch/eigen/lapack/lapack_common.h
  type Eigen (line 20) | typedef Eigen::Map<Eigen::Transpositions<Eigen::Dynamic,Eigen::Dynamic,i...

FILE: VO_Module/thirdparty/lietorch/eigen/scripts/eigen_gen_credits.cpp
  function contributor_name (line 13) | std::string contributor_name(const std::string& line)
  function contributors_map_from_churn_output (line 67) | map<string,int> contributors_map_from_churn_output(const char *filename)
  function string (line 110) | string lastname(const string& name)
  type contributor (line 117) | struct contributor
    method contributor (line 125) | contributor() : changedlines(0), changesets(0) {}
  function add_online_info_into_contributors_list (line 133) | void add_online_info_into_contributors_list(list<contributor>& contribut...
  function main (line 186) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/scripts/relicense.py
  function update (line 46) | def update(text):

FILE: VO_Module/thirdparty/lietorch/eigen/test/AnnoyingScalar.h
  type my_exception (line 20) | struct my_exception
  function class (line 31) | class AnnoyingScalar
  function init (line 50) | void init() {
  function AnnoyingScalar (line 102) | AnnoyingScalar real(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 103) | AnnoyingScalar imag(const AnnoyingScalar & ) { return 0; }
  function AnnoyingScalar (line 104) | AnnoyingScalar conj(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 105) | AnnoyingScalar sqrt(const AnnoyingScalar &x) { return std::sqrt(*x.v); }
  function AnnoyingScalar (line 106) | AnnoyingScalar abs (const AnnoyingScalar &x) { return std::abs(*x.v); }
  function AnnoyingScalar (line 107) | AnnoyingScalar cos (const AnnoyingScalar &x) { return std::cos(*x.v); }
  function AnnoyingScalar (line 108) | AnnoyingScalar sin (const AnnoyingScalar &x) { return std::sin(*x.v); }
  function AnnoyingScalar (line 109) | AnnoyingScalar acos(const AnnoyingScalar &x) { return std::acos(*x.v); }
  function AnnoyingScalar (line 110) | AnnoyingScalar atan2(const AnnoyingScalar &y,const AnnoyingScalar &x) { ...
  function namespace (line 124) | namespace Eigen {
  function AnnoyingScalar (line 146) | AnnoyingScalar get_test_precision(const AnnoyingScalar&)
  function AnnoyingScalar (line 149) | AnnoyingScalar test_relative_error(const AnnoyingScalar &a, const Annoyi...
  function test_isApprox (line 152) | inline bool test_isApprox(const AnnoyingScalar &a, const AnnoyingScalar &b)
  function test_isMuchSmallerThan (line 155) | inline bool test_isMuchSmallerThan(const AnnoyingScalar &a, const Annoyi...

FILE: VO_Module/thirdparty/lietorch/eigen/test/MovableScalar.h
  function namespace (line 15) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/test/adjoint.cpp
  type adjoint_specific (line 14) | struct adjoint_specific
  type adjoint_specific<true> (line 16) | struct adjoint_specific<true> {
    method run (line 18) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  type adjoint_specific<false> (line 27) | struct adjoint_specific<false> {
    method run (line 29) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  function adjoint (line 67) | void adjoint(const MatrixType& m)
  function adjoint_extra (line 152) | void adjoint_extra()
  function EIGEN_DECLARE_TEST (line 194) | EIGEN_DECLARE_TEST(adjoint)

FILE: VO_Module/thirdparty/lietorch/eigen/test/array_cwise.cpp
  function pow_test (line 15) | void pow_test() {
  function array (line 85) | void array(const ArrayType& m)
  function comparisons (line 258) | void comparisons(const ArrayType& m)
  function array_real (line 334) | void array_real(const ArrayType& m)
  function array_complex (line 470) | void array_complex(const ArrayType& m)
  function min_max (line 587) | void min_max(const ArrayType& m)
  function EIGEN_DECLARE_TEST (line 629) | EIGEN_DECLARE_TEST(array_cwise)

FILE: VO_Module/thirdparty/lietorch/eigen/test/array_for_matrix.cpp
  function array_for_matrix (line 12) | void array_for_matrix(const MatrixType& m)
  function comparisons (line 89) | void comparisons(const MatrixType& m)
  function lpNorm (line 155) | void lpNorm(const VectorType& v)
  function cwise_min_max (line 178) | void cwise_min_max(const MatrixType& m)
  function resize (line 216) | void resize(const MatrixTraits& t)
  function regression_bug_654 (line 242) | void regression_bug_654()
  function regrrssion_bug_1410 (line 250) | void regrrssion_bug_1410()
  function EIGEN_DECLARE_TEST (line 266) | EIGEN_DECLARE_TEST(array_for_matrix)

FILE: VO_Module/thirdparty/lietorch/eigen/test/array_of_string.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(array_of_string)

FILE: VO_Module/thirdparty/lietorch/eigen/test/array_replicate.cpp
  function replicate (line 12) | void replicate(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(array_replicate)

FILE: VO_Module/thirdparty/lietorch/eigen/test/array_reverse.cpp
  function reverse (line 16) | void reverse(const MatrixType& m)
  function array_reverse_extra (line 127) | void array_reverse_extra()
  function EIGEN_DONT_INLINE (line 140) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 149) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 160) | EIGEN_DONT_INLINE
  function bug1684 (line 175) | void bug1684()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(array_reverse)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bandmatrix.cpp
  function bandmatrix (line 12) | void bandmatrix(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(bandmatrix)

FILE: VO_Module/thirdparty/lietorch/eigen/test/basicstuff.cpp
  function basicStuff (line 15) | void basicStuff(const MatrixType& m)
  function basicStuffComplex (line 161) | void basicStuffComplex(const MatrixType& m)
  type casting_test (line 199) | struct casting_test {
    method run (line 200) | static void run() {
  type casting_test_runner (line 217) | struct casting_test_runner {
    method run (line 218) | static void run() {
  type casting_test_runner<SrcScalar, typename internal::enable_if<(NumTraits<SrcScalar>::IsComplex)>::type> (line 240) | struct casting_test_runner<SrcScalar, typename internal::enable_if<(NumT...
    method run (line 242) | static void run() {
  function casting_all (line 251) | void casting_all() {
  function fixedSizeMatrixConstruction (line 272) | void fixedSizeMatrixConstruction()
  function EIGEN_DECLARE_TEST (line 334) | EIGEN_DECLARE_TEST(basicstuff)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bdcsvd.cpp
  function bdcsvd (line 29) | void bdcsvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function bdcsvd_method (line 43) | void bdcsvd_method()
  function compare_bdc_jacobi (line 59) | void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int...
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(bdcsvd)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bfloat16_float.cpp
  type Eigen (line 20) | namespace Eigen {
    type bfloat16 (line 21) | struct bfloat16
  function BinaryToFloat (line 26) | float BinaryToFloat(uint32_t sign, uint32_t exponent, uint32_t high_mant...
  function test_truncate (line 35) | void test_truncate(float input, float expected_truncation, float expecte...
  function test_roundtrip (line 48) | void test_roundtrip() {
  function test_conversion (line 60) | void test_conversion()
  function test_numtraits (line 261) | void test_numtraits()
  function test_arithmetic (line 299) | void test_arithmetic()
  function test_comparison (line 310) | void test_comparison()
  function test_basic_functions (line 348) | void test_basic_functions()
  function test_trigonometric_functions (line 396) | void test_trigonometric_functions()
  function test_array (line 420) | void test_array()
  function test_product (line 440) | void test_product()
  function EIGEN_DECLARE_TEST (line 455) | EIGEN_DECLARE_TEST(bfloat16_float)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bicgstab.cpp
  function test_bicgstab_T (line 13) | void test_bicgstab_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(bicgstab)

FILE: VO_Module/thirdparty/lietorch/eigen/test/blasutil.cpp
  function compare (line 24) | void compare(const Packet& a, const Packet& b)
  type PacketBlockSet (line 43) | struct PacketBlockSet
    method setPacketBlock (line 47) | void setPacketBlock(internal::PacketBlock<Packet,n>& block, Scalar value)
    method comparePacketBlock (line 55) | void comparePacketBlock(Scalar *data, int i, int j, int stride, intern...
  function run_bdmp_spec_1 (line 66) | void run_bdmp_spec_1()
  function run_test (line 175) | void run_test()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(blasutil)

FILE: VO_Module/thirdparty/lietorch/eigen/test/block.cpp
  function block_real_only (line 14) | typename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scal...
  function block_real_only (line 27) | typename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scala...
  function is_same_block (line 34) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function block (line 40) | void block(const MatrixType& m)
  function compare_using_data_and_stride (line 244) | void compare_using_data_and_stride(const MatrixType& m)
  function data_and_stride (line 277) | void data_and_stride(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 296) | EIGEN_DECLARE_TEST(block)

FILE: VO_Module/thirdparty/lietorch/eigen/test/boostmultiprec.cpp
  type Eigen (line 80) | namespace Eigen {
    type NumTraits<Real> (line 81) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 82) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 86) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 89) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 92) | namespace internal {
      type cast_impl<Real,NewType> (line 94) | struct cast_impl<Real,NewType> {
        method NewType (line 95) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 101) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 102) | static inline std::complex<Real>  run(const Real& x) {
  type boost (line 109) | namespace boost {
    type multiprecision (line 110) | namespace multiprecision {
      function Real (line 119) | Real fabs(const Real& a) { return abs EIGEN_NOT_A_MACRO (a); }
      function Real (line 120) | Real fmax(const Real& a, const Real& b) { using std::max; return max...
      function test_isMuchSmallerThan (line 123) | inline bool test_isMuchSmallerThan(const Real& a, const Real& b) {
      function test_isApprox (line 127) | inline bool test_isApprox(const Real& a, const Real& b) {
      function test_isApproxOrLessThan (line 131) | inline bool test_isApproxOrLessThan(const Real& a, const Real& b) {
      function Real (line 135) | Real get_test_precision(const Real&) {
      function Real (line 139) | Real test_relative_error(const Real &a, const Real &b) {
  type Eigen (line 146) | namespace Eigen {
    type NumTraits<Real> (line 81) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 82) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 86) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 89) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 92) | namespace internal {
      type cast_impl<Real,NewType> (line 94) | struct cast_impl<Real,NewType> {
        method NewType (line 95) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 101) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 102) | static inline std::complex<Real>  run(const Real& x) {
  function EIGEN_DECLARE_TEST (line 150) | EIGEN_DECLARE_TEST(boostmultiprec)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bug1213.cpp
  function bug1213_1 (line 9) | bool bug1213_1(const Eigen::Vector3f& x)

FILE: VO_Module/thirdparty/lietorch/eigen/test/bug1213_main.cpp
  function main (line 6) | int main()
  function bug1213_2 (line 13) | bool bug1213_2(const Eigen::Matrix<T,dim,1>& )

FILE: VO_Module/thirdparty/lietorch/eigen/test/cholesky.cpp
  function matrix_l1_norm (line 18) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function test_chol_update (line 24) | void test_chol_update(const MatrixType& symm)
  function cholesky (line 56) | void cholesky(const MatrixType& m)
  function cholesky_cplx (line 286) | void cholesky_cplx(const MatrixType& m)
  function cholesky_bug241 (line 343) | void cholesky_bug241(const MatrixType& m)
  function cholesky_definiteness (line 361) | void cholesky_definiteness(const MatrixType& m)
  function cholesky_faillure_cases (line 410) | void cholesky_faillure_cases()
  function cholesky_verify_assert (line 471) | void cholesky_verify_assert()
  function EIGEN_DECLARE_TEST (line 495) | EIGEN_DECLARE_TEST(cholesky)

FILE: VO_Module/thirdparty/lietorch/eigen/test/cholmod_support.cpp
  function test_cholmod_ST (line 15) | void test_cholmod_ST()
  function test_cholmod_T (line 53) | void test_cholmod_T()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cholmod_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/commainitializer.cpp
  function test_blocks (line 14) | void test_blocks()
  type test_block_recursion (line 59) | struct test_block_recursion
    method run (line 61) | static void run()
  type test_block_recursion<0,N> (line 69) | struct test_block_recursion<0,N>
    method run (line 71) | static void run() {
  function test_basics (line 76) | void test_basics() {
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(commainitializer)

FILE: VO_Module/thirdparty/lietorch/eigen/test/conjugate_gradient.cpp
  function test_conjugate_gradient_T (line 13) | void test_conjugate_gradient_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(conjugate_gradient)

FILE: VO_Module/thirdparty/lietorch/eigen/test/conservative_resize.cpp
  function run_matrix_tests (line 18) | void run_matrix_tests()
  function run_vector_tests (line 61) | void run_vector_tests()
  function noncopyable (line 114) | void noncopyable()
  function EIGEN_DECLARE_TEST (line 137) | EIGEN_DECLARE_TEST(conservative_resize)

FILE: VO_Module/thirdparty/lietorch/eigen/test/constructor.cpp
  type Wrapper (line 15) | struct Wrapper
    method Wrapper (line 18) | inline Wrapper(const MatrixType &x) : m_mat(x) {}
  type my_sizes (line 23) | enum my_sizes { M = 12, N = 7}
  function ctor_init1 (line 25) | void ctor_init1(const MatrixType& m)

FILE: VO_Module/thirdparty/lietorch/eigen/test/corners.cpp
  function corners (line 16) | void corners(const MatrixType& m)
  function corners_fixedsize (line 45) | void corners_fixedsize()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(corners)

FILE: VO_Module/thirdparty/lietorch/eigen/test/ctorleak.cpp
  type Foo (line 5) | struct Foo
    method Foo (line 11) | Foo() : dummy(0)
    class Fail (line 27) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(ctorleak)

FILE: VO_Module/thirdparty/lietorch/eigen/test/denseLM.cpp
  type DenseLM (line 21) | struct DenseLM : DenseFunctor<Scalar>
    method DenseLM (line 27) | DenseLM(int n, int m) : DenseFunctor<Scalar>(n,m)
    method VectorType (line 30) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 50) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 78) | int df(const VectorType& uv, JacobianType& fjac)
  function test_minimizeLM (line 102) | int test_minimizeLM(FunctorType& functor, VectorType& uv)
  function test_lmder (line 115) | int test_lmder(FunctorType& functor, VectorType& uv)
  function test_minimizeSteps (line 128) | int test_minimizeSteps(FunctorType& functor, VectorType& uv)
  function test_denseLM_T (line 146) | void test_denseLM_T()
  function EIGEN_DECLARE_TEST (line 185) | EIGEN_DECLARE_TEST(denseLM)

FILE: VO_Module/thirdparty/lietorch/eigen/test/dense_storage.cpp
  function dense_storage_copy (line 15) | void dense_storage_copy()
  function dense_storage_assignment (line 35) | void dense_storage_assignment()
  function dense_storage_alignment (line 56) | void dense_storage_alignment()
  function EIGEN_DECLARE_TEST (line 81) | EIGEN_DECLARE_TEST(dense_storage)

FILE: VO_Module/thirdparty/lietorch/eigen/test/determinant.cpp
  function determinant (line 14) | void determinant(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 53) | EIGEN_DECLARE_TEST(determinant)

FILE: VO_Module/thirdparty/lietorch/eigen/test/diagonal.cpp
  function diagonal (line 12) | void diagonal(const MatrixType& m)
  function diagonal_assert (line 73) | void diagonal_assert(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(diagonal)

FILE: VO_Module/thirdparty/lietorch/eigen/test/diagonal_matrix_variadic_ctor.cpp
  function assertionTest (line 15) | void assertionTest()
  function constructorTest (line 61) | void constructorTest()
  function EIGEN_DECLARE_TEST (line 168) | EIGEN_DECLARE_TEST(diagonal_matrix_variadic_ctor)

FILE: VO_Module/thirdparty/lietorch/eigen/test/diagonalmatrices.cpp
  function diagonalmatrices (line 12) | void diagonalmatrices(const MatrixType& m)
  function as_scalar_product (line 117) | void as_scalar_product(const MatrixType& m)
  function bug987 (line 144) | void bug987()
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(diagonalmatrices)

FILE: VO_Module/thirdparty/lietorch/eigen/test/dontalign.cpp
  function dontalign (line 20) | void dontalign(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 47) | EIGEN_DECLARE_TEST(dontalign)

FILE: VO_Module/thirdparty/lietorch/eigen/test/dynalloc.cpp
  function check_handmade_aligned_malloc (line 21) | void check_handmade_aligned_malloc()
  function check_aligned_malloc (line 33) | void check_aligned_malloc()
  function check_aligned_new (line 45) | void check_aligned_new()
  function ei_declare_aligned_stack_constructed_variable (line 61) | ei_declare_aligned_stack_constructed_variable(float,p,i,0);
  function EIGEN_DECLARE_TEST (line 123) | EIGEN_DECLARE_TEST(dynalloc)

FILE: VO_Module/thirdparty/lietorch/eigen/test/eigen2support.cpp
  function eigen2support (line 14) | void eigen2support(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 55) | EIGEN_DECLARE_TEST(eigen2support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/eigensolver_complex.cpp
  function find_pivot (line 16) | bool find_pivot(typename MatrixType::Scalar tol, MatrixType &diffs, Inde...
  function verify_is_approx_upto_permutation (line 55) | void verify_is_approx_upto_permutation(const VectorType& vec1, const Vec...
  function eigensolver (line 72) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 144) | void eigensolver_verify_assert(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 155) | EIGEN_DECLARE_TEST(eigensolver_complex)

FILE: VO_Module/thirdparty/lietorch/eigen/test/eigensolver_generalized_real.cpp
  function generalized_eigensolver_real (line 16) | void generalized_eigensolver_real(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 88) | EIGEN_DECLARE_TEST(eigensolver_generalized_real)

FILE: VO_Module/thirdparty/lietorch/eigen/test/eigensolver_generic.cpp
  function check_eigensolver_for_given_mat (line 16) | void check_eigensolver_for_given_mat(const EigType &eig, const MatType& a)
  function eigensolver (line 30) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 98) | void eigensolver_verify_assert(const MatrixType& m)
  function make_companion (line 114) | Matrix<typename CoeffType::Scalar,Dynamic,Dynamic>
  function eigensolver_generic_extra (line 126) | void eigensolver_generic_extra()
  function EIGEN_DECLARE_TEST (line 209) | EIGEN_DECLARE_TEST(eigensolver_generic)

FILE: VO_Module/thirdparty/lietorch/eigen/test/eigensolver_selfadjoint.cpp
  function selfadjointeigensolver_essential_check (line 18) | void selfadjointeigensolver_essential_check(const MatrixType& m)
  function selfadjointeigensolver (line 69) | void selfadjointeigensolver(const MatrixType& m)
  function bug_854 (line 194) | void bug_854()
  function bug_1014 (line 204) | void bug_1014()
  function bug_1225 (line 214) | void bug_1225()
  function bug_1204 (line 226) | void bug_1204()
  function EIGEN_DECLARE_TEST (line 233) | EIGEN_DECLARE_TEST(eigensolver_selfadjoint)

FILE: VO_Module/thirdparty/lietorch/eigen/test/evaluators.cpp
  type Eigen (line 4) | namespace Eigen {
    function prod (line 7) | const Product<Lhs,Rhs>
    function lazyprod (line 14) | const Product<Lhs,Rhs,LazyProduct>
    function EIGEN_STRONG_INLINE (line 21) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 29) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 37) | EIGEN_STRONG_INLINE
    function add_assign_using_evaluator (line 53) | void add_assign_using_evaluator(const DstXprType& dst, const SrcXprTyp...
    function subtract_assign_using_evaluator (line 60) | void subtract_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function multiply_assign_using_evaluator (line 67) | void multiply_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function divide_assign_using_evaluator (line 74) | void divide_assign_using_evaluator(const DstXprType& dst, const SrcXpr...
    function swap_using_evaluator (line 81) | void swap_using_evaluator(const DstXprType& dst, const SrcXprType& src)
    type internal (line 87) | namespace internal {
      function EIGEN_DEVICE_FUNC (line 89) | EIGEN_DEVICE_FUNC void call_assignment(const NoAlias<Dst,StorageBase...
      function EIGEN_DEVICE_FUNC (line 95) | EIGEN_DEVICE_FUNC void call_restricted_packet_assignment(const NoAli...
  function get_cost (line 103) | long get_cost(const XprType& ) { return Eigen::internal::evaluator<XprTy...
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(evaluators)

FILE: VO_Module/thirdparty/lietorch/eigen/test/exceptions.cpp
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(exceptions)

FILE: VO_Module/thirdparty/lietorch/eigen/test/fastmath.cpp
  function check (line 12) | void check(bool b, bool ref)
  type std (line 22) | namespace std {
  function check_inf_nan (line 30) | void check_inf_nan(bool dryrun) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(fastmath) {

FILE: VO_Module/thirdparty/lietorch/eigen/test/first_aligned.cpp
  function test_first_aligned_helper (line 13) | void test_first_aligned_helper(Scalar *array, int size)
  function test_none_aligned_helper (line 20) | void test_none_aligned_helper(Scalar *array, int size)
  type some_non_vectorizable_type (line 27) | struct some_non_vectorizable_type { float x; }
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(first_aligned)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_alignedbox.cpp
  function EIGEN_DONT_INLINE (line 18) | EIGEN_DONT_INLINE
  function alignedbox (line 28) | void alignedbox(const BoxType& box)
  function alignedboxTranslatable (line 89) | void alignedboxTranslatable(const BoxType& box)
  function Rotation (line 177) | Rotation rotate2D(Scalar angle) {
  function Rotation (line 182) | Rotation rotate2DIntegral(typename NumTraits<Scalar>::NonInteger angle) {
  function Rotation (line 189) | Rotation rotate3DZAxis(Scalar angle) {
  function Rotation (line 194) | Rotation rotate3DZAxisIntegral(typename NumTraits<Scalar>::NonInteger an...
  function Rotation (line 201) | Rotation rotate4DZWAxis(Scalar angle) {
  function MatrixType (line 208) | MatrixType randomRotationMatrix()
  function boxGetCorners (line 223) | Matrix<Scalar, Dim, (1<<Dim)> boxGetCorners(const Matrix<Scalar, Dim, 1>...
  function alignedboxRotatable (line 234) | void alignedboxRotatable(
  function alignedboxNonIntegralRotatable (line 304) | void alignedboxNonIntegralRotatable(
  function alignedboxCastTests (line 429) | void alignedboxCastTests(const BoxType& box)
  function specificTest1 (line 454) | void specificTest1()
  function specificTest2 (line 481) | void specificTest2()
  function EIGEN_DECLARE_TEST (line 507) | EIGEN_DECLARE_TEST(geo_alignedbox)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_eulerangles.cpp
  function verify_euler (line 17) | void verify_euler(const Matrix<Scalar,3,1>& ea, int i, int j, int k)
  function check_all_var (line 41) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function eulerangles (line 59) | void eulerangles()
  function EIGEN_DECLARE_TEST (line 106) | EIGEN_DECLARE_TEST(geo_eulerangles)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_homogeneous.cpp
  function homogeneous (line 13) | void homogeneous(void)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_homogeneous)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_hyperplane.cpp
  function hyperplane (line 16) | void hyperplane(const HyperplaneType& _plane)
  function lines (line 88) | void lines()
  function planes (line 129) | void planes()
  function hyperplane_alignment (line 155) | void hyperplane_alignment()
  function EIGEN_DECLARE_TEST (line 183) | EIGEN_DECLARE_TEST(geo_hyperplane)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_orthomethods.cpp
  function orthomethods_3 (line 19) | void orthomethods_3()
  function orthomethods (line 80) | void orthomethods(int size=Size)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_orthomethods)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_parametrizedline.cpp
  function parametrizedline (line 16) | void parametrizedline(const LineType& _line)
  function parametrizedline_alignment (line 90) | void parametrizedline_alignment()
  function EIGEN_DECLARE_TEST (line 120) | EIGEN_DECLARE_TEST(geo_parametrizedline)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_quaternion.cpp
  function T (line 17) | T bounded_acos(T v)
  function check_slerp (line 25) | void check_slerp(const QuatType& q0, const QuatType& q1)
  function quaternion (line 46) | void quaternion(void)
  function mapQuaternion (line 184) | void mapQuaternion(void){
  function quaternionAlignment (line 265) | void quaternionAlignment(void){
  function check_const_correctness (line 290) | void check_const_correctness(const PlainObjectType&)
  type MovableClass (line 307) | struct MovableClass {
    method MovableClass (line 310) | MovableClass() = default;
    method MovableClass (line 311) | MovableClass(const MovableClass&) = default;
    method MovableClass (line 312) | MovableClass(MovableClass&&) noexcept = default;
    method MovableClass (line 313) | MovableClass& operator=(const MovableClass&) = default;
    method MovableClass (line 314) | MovableClass& operator=(MovableClass&&) = default;
  function EIGEN_DECLARE_TEST (line 320) | EIGEN_DECLARE_TEST(geo_quaternion)

FILE: VO_Module/thirdparty/lietorch/eigen/test/geo_transformations.cpp
  function angleToVec (line 16) | Matrix<T,2,1> angleToVec(T a)
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE
  function non_projective_only (line 26) | void non_projective_only()
  function transformations (line 86) | void transformations()
  function transform_associativity_left (line 502) | void transform_associativity_left(const A1& a1, const A2& a2, const P& p...
  function transform_associativity2 (line 510) | void transform_associativity2(const A1& a1, const A2& a2, const P& p, co...
  function transform_associativity (line 520) | void transform_associativity(const RotationType& R)
  function transform_alignment (line 563) | void transform_alignment()
  function transform_products (line 592) | void transform_products()
  function transformations_no_scale (line 615) | void transformations_no_scale()
  function transformations_computed_scaling_continuity (line 675) | void transformations_computed_scaling_continuity()
  function EIGEN_DECLARE_TEST (line 702) | EIGEN_DECLARE_TEST(geo_transformations)

FILE: VO_Module/thirdparty/lietorch/eigen/test/gpu_common.h
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 32) | EIGEN_HIP_LAUNCH_BOUNDS_1024
  type compile_time_device_info (line 115) | struct compile_time_device_info {
  function ei_test_init_gpu (line 131) | void ei_test_init_gpu()

FILE: VO_Module/thirdparty/lietorch/eigen/test/half_float.cpp
  type Eigen (line 18) | namespace Eigen {
    type half (line 19) | struct half
  function test_conversion (line 24) | void test_conversion()
  function test_numtraits (line 123) | void test_numtraits()
  function test_arithmetic (line 162) | void test_arithmetic()
  function test_comparison (line 187) | void test_comparison()
  function test_basic_functions (line 225) | void test_basic_functions()
  function test_trigonometric_functions (line 278) | void test_trigonometric_functions()
  function test_array (line 302) | void test_array()
  function test_product (line 322) | void test_product()
  function EIGEN_DECLARE_TEST (line 337) | EIGEN_DECLARE_TEST(half_float)

FILE: VO_Module/thirdparty/lietorch/eigen/test/hessenberg.cpp
  function hessenberg (line 14) | void hessenberg(int size = Size)
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(hessenberg)

FILE: VO_Module/thirdparty/lietorch/eigen/test/householder.cpp
  function householder (line 13) | void householder(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 136) | EIGEN_DECLARE_TEST(householder)

FILE: VO_Module/thirdparty/lietorch/eigen/test/incomplete_cholesky.cpp
  function test_incomplete_cholesky_T (line 15) | void test_incomplete_cholesky_T()
  function bug1150 (line 33) | void bug1150()
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(incomplete_cholesky)

FILE: VO_Module/thirdparty/lietorch/eigen/test/indexed_view.cpp
  function encode (line 45) | int encode(Index i, Index j) {
  function IndexPair (line 49) | IndexPair decode(Index ij) {
  function match (line 54) | bool match(const T& xpr, std::string ref, std::string str_xpr = "") {
  function is_same_eq (line 66) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function is_same_seq (line 73) | bool is_same_seq(const T1& a, const T2& b)
  function is_same_seq_type (line 85) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  type DummyEnum (line 96) | enum DummyEnum { XX=0, YY=1 }
  function check_indexed_view (line 98) | void check_indexed_view()
  function EIGEN_DECLARE_TEST (line 455) | EIGEN_DECLARE_TEST(indexed_view)

FILE: VO_Module/thirdparty/lietorch/eigen/test/initializer_list_construction.cpp
  type TestMethodDispatching (line 15) | struct TestMethodDispatching {
    method run (line 16) | static void run() {}
  type TestMethodDispatching<Scalar, 1> (line 20) | struct TestMethodDispatching<Scalar, 1> {
    method run (line 21) | static void run()
  function fixedsizeVariadicVectorConstruction2 (line 50) | void fixedsizeVariadicVectorConstruction2()
  function fixedsizeVariadicVectorConstruction3 (line 88) | void fixedsizeVariadicVectorConstruction3()
  function fixedsizeVariadicVectorConstruction (line 96) | void fixedsizeVariadicVectorConstruction()
  function initializerListVectorConstruction (line 105) | void initializerListVectorConstruction()
  function initializerListMatrixConstruction (line 161) | void initializerListMatrixConstruction()
  function initializerListArrayConstruction (line 233) | void initializerListArrayConstruction()
  function dynamicVectorConstruction (line 304) | void dynamicVectorConstruction()
  function EIGEN_DECLARE_TEST (line 335) | EIGEN_DECLARE_TEST(initializer_list_construction)

FILE: VO_Module/thirdparty/lietorch/eigen/test/inplace_decomposition.cpp
  function inplace (line 17) | void inplace(bool square = false, bool SPD = false)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(inplace_decomposition)

FILE: VO_Module/thirdparty/lietorch/eigen/test/integer_types.cpp
  function signed_integer_type_tests (line 19) | void signed_integer_type_tests(const MatrixType& m)
  function integer_type_tests (line 49) | void integer_type_tests(const MatrixType& m)
  function integer_types_extra (line 135) | void integer_types_extra()
  function EIGEN_DECLARE_TEST (line 145) | EIGEN_DECLARE_TEST(integer_types)

FILE: VO_Module/thirdparty/lietorch/eigen/test/inverse.cpp
  function inverse_for_fixed_size (line 15) | void inverse_for_fixed_size(const MatrixType&, typename internal::enable...
  function inverse_for_fixed_size (line 20) | void inverse_for_fixed_size(const MatrixType& m1, typename internal::ena...
  function inverse (line 65) | void inverse(const MatrixType& m)
  function inverse_zerosized (line 109) | void inverse_zerosized()
  function EIGEN_DECLARE_TEST (line 124) | EIGEN_DECLARE_TEST(inverse)

FILE: VO_Module/thirdparty/lietorch/eigen/test/io.cpp
  type check_ostream_impl (line 15) | struct check_ostream_impl
    method run (line 17) | static void run()
  type check_ostream_impl<bool> (line 29) | struct check_ostream_impl<bool>
    method run (line 31) | static void run()
  type check_ostream_impl< std::complex<Scalar> > (line 41) | struct check_ostream_impl< std::complex<Scalar> >
    method run (line 43) | static void run()
  function check_ostream (line 53) | static void check_ostream()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(rand)

FILE: VO_Module/thirdparty/lietorch/eigen/test/is_same_dense.cpp
  function EIGEN_DECLARE_TEST (line 14) | EIGEN_DECLARE_TEST(is_same_dense)

FILE: VO_Module/thirdparty/lietorch/eigen/test/jacobi.cpp
  function jacobi (line 15) | void jacobi(const MatrixType& m = MatrixType())
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(jacobi)

FILE: VO_Module/thirdparty/lietorch/eigen/test/jacobisvd.cpp
  function jacobisvd (line 23) | void jacobisvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function jacobisvd_verify_assert (line 36) | void jacobisvd_verify_assert(const MatrixType& m)
  function jacobisvd_method (line 60) | void jacobisvd_method()
  type Foo (line 74) | namespace Foo {
    class Bar (line 77) | class Bar {public: Bar() {}}
      method Bar (line 77) | Bar() {}
  function msvc_workaround (line 82) | void msvc_workaround()
  function EIGEN_DECLARE_TEST (line 89) | EIGEN_DECLARE_TEST(jacobisvd)

FILE: VO_Module/thirdparty/lietorch/eigen/test/klu_support.cpp
  function test_klu_support_T (line 15) | void test_klu_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(klu_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/linearstructure.cpp
  function linearStructure (line 16) | void linearStructure(const MatrixType& m)
  function real_complex (line 76) | void real_complex(DenseIndex rows = MatrixType::RowsAtCompileTime, Dense...
  function linearstructure_overflow (line 114) | void linearstructure_overflow()
  function EIGEN_DECLARE_TEST (line 126) | EIGEN_DECLARE_TEST(linearstructure)

FILE: VO_Module/thirdparty/lietorch/eigen/test/lscg.cpp
  function test_lscg_T (line 13) | void test_lscg_T()
  function EIGEN_DECLARE_TEST (line 33) | EIGEN_DECLARE_TEST(lscg)

FILE: VO_Module/thirdparty/lietorch/eigen/test/lu.cpp
  function matrix_l1_norm (line 16) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function lu_non_invertible (line 20) | void lu_non_invertible()
  function lu_invertible (line 110) | void lu_invertible()
  function lu_partial_piv (line 155) | void lu_partial_piv(Index size = MatrixType::ColsAtCompileTime)
  function lu_verify_assert (line 183) | void lu_verify_assert()
  function EIGEN_DECLARE_TEST (line 214) | EIGEN_DECLARE_TEST(lu)

FILE: VO_Module/thirdparty/lietorch/eigen/test/main.h
  type real (line 100) | struct real {}
  type imag (line 101) | struct imag {}
  function on_temporary_creation (line 128) | inline void on_temporary_creation(long int size) {
  function namespace (line 163) | namespace Eigen
  function namespace (line 218) | namespace Eigen
  function namespace (line 249) | namespace Eigen
  function verify_impl (line 362) | inline void verify_impl(bool condition, const char *testname, const char...
  function namespace (line 406) | namespace Eigen {
  type typename (line 655) | typedef typename internal::traits<MatrixType>::Scalar Scalar;
  type Matrix (line 658) | typedef Matrix<Scalar, Dynamic, 1> VectorType;
  type Matrix (line 659) | typedef Matrix<Scalar, Rows, Rows> MatrixAType;
  type Matrix (line 660) | typedef Matrix<Scalar, Cols, Cols> MatrixBType;
  type typename (line 695) | typedef typename PermutationVectorType::Scalar Scalar;
  function float (line 727) | struct GetDifferentType<float> { typedef double type; }
  function double (line 728) | struct GetDifferentType<double> { typedef float type; }
  function string (line 734) | string type_name()                    { return "other"; }

FILE: VO_Module/thirdparty/lietorch/eigen/test/mapped_matrix.cpp
  function map_class_vector (line 18) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 51) | void map_class_matrix(const MatrixType& m)
  function map_static_methods (line 121) | void map_static_methods(const VectorType& m)
  function check_const_correctness (line 146) | void check_const_correctness(const PlainObjectType&)
  function map_not_aligned_on_scalar (line 161) | void map_not_aligned_on_scalar()
  function EIGEN_DECLARE_TEST (line 181) | EIGEN_DECLARE_TEST(mapped_matrix)

FILE: VO_Module/thirdparty/lietorch/eigen/test/mapstaticmethods.cpp
  type mapstaticmethods_impl (line 23) | struct mapstaticmethods_impl {}
  type mapstaticmethods_impl<PlainObjectType, false, IsVector> (line 26) | struct mapstaticmethods_impl<PlainObjectType, false, IsVector>
    method run (line 28) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, false> (line 72) | struct mapstaticmethods_impl<PlainObjectType, true, false>
    method run (line 74) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, true> (line 118) | struct mapstaticmethods_impl<PlainObjectType, true, true>
    method run (line 120) | static void run(const PlainObjectType& v)
  function mapstaticmethods (line 144) | void mapstaticmethods(const PlainObjectType& m)
  function EIGEN_DECLARE_TEST (line 150) | EIGEN_DECLARE_TEST(mapstaticmethods)

FILE: VO_Module/thirdparty/lietorch/eigen/test/mapstride.cpp
  function map_class_vector (line 12) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 50) | void map_class_matrix(const MatrixType& _m)
  function bug1453 (line 196) | void bug1453()
  function EIGEN_DECLARE_TEST (line 226) | EIGEN_DECLARE_TEST(mapstride)

FILE: VO_Module/thirdparty/lietorch/eigen/test/meta.cpp
  function check_is_convertible (line 13) | bool check_is_convertible(const From&, const To&)
  type FooReturnType (line 18) | struct FooReturnType {
  type MyInterface (line 22) | struct MyInterface {
  type MyImpl (line 26) | struct MyImpl : public MyInterface {
    method func (line 27) | void func() {}
  function EIGEN_DECLARE_TEST (line 30) | EIGEN_DECLARE_TEST(meta)

FILE: VO_Module/thirdparty/lietorch/eigen/test/metis_support.cpp
  function test_metis_T (line 15) | void test_metis_T()
  function EIGEN_DECLARE_TEST (line 22) | EIGEN_DECLARE_TEST(metis_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/miscmatrices.cpp
  function miscMatrices (line 12) | void miscMatrices(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(miscmatrices)

FILE: VO_Module/thirdparty/lietorch/eigen/test/mixingtypes.cpp
  function raise_assertion (line 53) | void raise_assertion(Index size = SizeAtCompileType)
  function mixingtypes (line 74) | void mixingtypes(int size = SizeAtCompileType)
  function EIGEN_DECLARE_TEST (line 312) | EIGEN_DECLARE_TEST(mixingtypes)

FILE: VO_Module/thirdparty/lietorch/eigen/test/mpl2only.cpp
  function main (line 21) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/test/nestbyvalue.cpp
  function XprType (line 17) | XprType get_xpr_with_temps(const MatrixXd& a)
  function EIGEN_DECLARE_TEST (line 24) | EIGEN_DECLARE_TEST(nestbyvalue)

FILE: VO_Module/thirdparty/lietorch/eigen/test/nesting_ops.cpp
  function use_n_times (line 16) | void use_n_times(const XprType &xpr)
  function verify_eval_type (line 27) | bool verify_eval_type(const XprType &, const ReferenceType&)
  function run_nesting_ops_1 (line 33) | void run_nesting_ops_1(const MatrixType& _m)
  function run_nesting_ops_2 (line 48) | void run_nesting_ops_2(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 94) | EIGEN_DECLARE_TEST(nesting_ops)

FILE: VO_Module/thirdparty/lietorch/eigen/test/nomalloc.cpp
  function nomalloc (line 23) | void nomalloc(const MatrixType& m)
  function ctms_decompositions (line 92) | void ctms_decompositions()
  function test_zerosized (line 158) | void test_zerosized() {
  function test_reference (line 171) | void test_reference(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 205) | EIGEN_DECLARE_TEST(nomalloc)

FILE: VO_Module/thirdparty/lietorch/eigen/test/nullary.cpp
  function equalsIdentity (line 14) | bool equalsIdentity(const MatrixType& A)
  function check_extremity_accuracy (line 37) | void check_extremity_accuracy(const VectorType &v, const typename Vector...
  function testVectorType (line 64) | void testVectorType(const VectorType& base)
  function testMatrixType (line 216) | void testMatrixType(const MatrixType& m)
  function bug79 (line 244) | void bug79()
  function bug1630 (line 251) | void bug1630()
  function nullary_overflow (line 259) | void nullary_overflow()
  function nullary_internal_logic (line 271) | void nullary_internal_logic()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(nullary)

FILE: VO_Module/thirdparty/lietorch/eigen/test/num_dimensions.cpp
  function check_dim (line 14) | void check_dim(const Xpr& ) {
  function map_num_dimensions (line 20) | void map_num_dimensions()
  function EIGEN_DECLARE_TEST (line 63) | EIGEN_DECLARE_TEST(num_dimensions)

FILE: VO_Module/thirdparty/lietorch/eigen/test/numext.cpp
  function check_if_equal_or_nans (line 13) | bool check_if_equal_or_nans(const T& actual, const U& expected) {
  function check_if_equal_or_nans (line 18) | bool check_if_equal_or_nans(const std::complex<T>& actual, const std::co...
  function test_is_equal_or_nans (line 24) | bool test_is_equal_or_nans(const T& actual, const U& expected)
  function check_abs (line 40) | void check_abs() {
  type check_sqrt_impl (line 65) | struct check_sqrt_impl {
    method run (line 66) | static void run() {
  type check_sqrt_impl<std::complex<T>  > (line 86) | struct check_sqrt_impl<std::complex<T>  > {
    method run (line 87) | static void run() {
  function check_sqrt (line 136) | void check_sqrt() {
  type check_rsqrt_impl (line 141) | struct check_rsqrt_impl {
    method run (line 142) | static void run() {
  type check_rsqrt_impl<std::complex<T> > (line 164) | struct check_rsqrt_impl<std::complex<T> > {
    method run (line 165) | static void run() {
  function check_rsqrt (line 224) | void check_rsqrt() {
  function EIGEN_DECLARE_TEST (line 228) | EIGEN_DECLARE_TEST(numext) {

FILE: VO_Module/thirdparty/lietorch/eigen/test/packetmath.cpp
  function T (line 15) | inline T REF_ADD(const T& a, const T& b) {
  function T (line 19) | inline T REF_SUB(const T& a, const T& b) {
  function T (line 23) | inline T REF_MUL(const T& a, const T& b) {
  function T (line 27) | inline T REF_DIV(const T& a, const T& b) {
  function T (line 31) | inline T REF_ABS_DIFF(const T& a, const T& b) {
  function REF_ADD (line 37) | inline bool REF_ADD(const bool& a, const bool& b) {
  function REF_SUB (line 41) | inline bool REF_SUB(const bool& a, const bool& b) {
  function REF_MUL (line 45) | inline bool REF_MUL(const bool& a, const bool& b) {
  function T (line 50) | inline T REF_FREXP(const T& x, T& exp) {
  function T (line 59) | inline T REF_LDEXP(const T& x, const T& exp) {
  type pcast_array (line 66) | struct pcast_array
  type pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> (line 69) | struct pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> {
    method cast (line 72) | static void cast(const SrcScalar* src, size_t size, TgtScalar* dst) {
  type pcast_array<SrcPacket, TgtPacket, 2, 1> (line 87) | struct pcast_array<SrcPacket, TgtPacket, 2, 1> {
    method cast (line 88) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 4, 1> (line 101) | struct pcast_array<SrcPacket, TgtPacket, 4, 1> {
    method cast (line 102) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 8, 1> (line 117) | struct pcast_array<SrcPacket, TgtPacket, 8, 1> {
    method cast (line 118) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type test_cast_helper (line 137) | struct test_cast_helper
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, false> (line 140) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 141) | static void run() {}
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, true> (line 145) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 146) | static void run() {
  type test_cast (line 175) | struct test_cast {
    method run (line 176) | static void run() {
  type test_cast_runner (line 195) | struct test_cast_runner
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> (line 198) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> {
    method run (line 199) | static void run() { test_cast<SrcPacket, TgtPacket>::run(); }
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> (line 203) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> {
    method run (line 204) | static void run() {
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> (line 211) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> {
    method run (line 212) | static void run() {}
  type packetmath_pcast_ops_runner (line 216) | struct packetmath_pcast_ops_runner {
    method run (line 217) | static void run() {
  type packetmath_pcast_ops_runner<Scalar, Packet, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 238) | struct packetmath_pcast_ops_runner<Scalar, Packet, typename internal::en...
    method run (line 239) | static void run() {
  function packetmath_boolean_mask_ops (line 248) | void packetmath_boolean_mask_ops() {
  function packetmath_minus_zero_add (line 288) | void packetmath_minus_zero_add() {
  type eigen_optimization_barrier_test (line 307) | struct eigen_optimization_barrier_test {
    method run (line 308) | static void run() {}
  type eigen_optimization_barrier_test<Packet, typename internal::enable_if<
    !NumTraits<Packet>::IsComplex &&
    !internal::is_same<Packet, Eigen::half>::value &&
    !internal::is_same<Packet, Eigen::bfloat16>::value
  >::type> (line 312) | struct eigen_optimization_barrier_test<Packet, typename internal::enable...
    method run (line 317) | static void run() {
  function packetmath (line 327) | void packetmath() {
  function Scalar (line 540) | Scalar log2(Scalar x) {
  function packetmath_real (line 545) | void packetmath_real() {
  function Scalar (line 900) | Scalar propagate_nan_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 907) | Scalar propagate_nan_min(const Scalar& a, const Scalar& b) {
  function Scalar (line 914) | Scalar propagate_number_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 921) | Scalar propagate_number_min(const Scalar& a, const Scalar& b) {
  function packetmath_notcomplex (line 928) | void packetmath_notcomplex() {
  function test_conj_helper (line 1026) | void test_conj_helper(Scalar* data1, Scalar* data2, Scalar* ref, Scalar*...
  function packetmath_complex (line 1052) | void packetmath_complex() {
  function packetmath_scatter_gather (line 1125) | void packetmath_scatter_gather() {
  type Eigen (line 1160) | namespace Eigen {
    type test (line 1161) | namespace test {
      type runall<Scalar, PacketType, false, false> (line 1164) | struct runall<Scalar, PacketType, false, false> {  // i.e. float or ...
        method run (line 1165) | static void run() {
      type runall<Scalar, PacketType, false, true> (line 1174) | struct runall<Scalar, PacketType, false, true> {  // i.e. int
        method run (line 1175) | static void run() {
      type runall<Scalar, PacketType, true, false> (line 1183) | struct runall<Scalar, PacketType, true, false> {  // i.e. complex
        method run (line 1184) | static void run() {
  function EIGEN_DECLARE_TEST (line 1194) | EIGEN_DECLARE_TEST(packetmath) {

FILE: VO_Module/thirdparty/lietorch/eigen/test/packetmath_test_shared.h
  function namespace (line 21) | namespace Eigen {
  function namespace (line 72) | namespace test {
  function Packet (line 148) | Packet load(const T* from) const { return internal::pload<Packet>(from); }
  function Packet (line 151) | Packet loadu(const T* from) const { return internal::ploadu<Packet>(from...
  function Packet (line 154) | Packet load(const T* from, unsigned long long umask) const { return inte...
  function store (line 157) | void store(T* to, const Packet& x) const { internal::pstore(to,x); }
  function store (line 160) | void store(T* to, const Packet& x, unsigned long long umask) const { int...
  function run (line 252) | static void run() {
  function run (line 261) | static void run() {
  function run (line 269) | static void run() {

FILE: VO_Module/thirdparty/lietorch/eigen/test/pardiso_support.cpp
  function test_pardiso_T (line 8) | void test_pardiso_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(pardiso_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/pastix_support.cpp
  function test_pastix_T (line 17) | void test_pastix_T()
  function test_pastix_T_LU (line 42) | void test_pastix_T_LU()
  function EIGEN_DECLARE_TEST (line 48) | EIGEN_DECLARE_TEST(pastix_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/permutationmatrices.cpp
  function permutationmatrices (line 15) | void permutationmatrices(const MatrixType& m)
  function bug890 (line 146) | void bug890()
  function EIGEN_DECLARE_TEST (line 169) | EIGEN_DECLARE_TEST(permutationmatrices)

FILE: VO_Module/thirdparty/lietorch/eigen/test/prec_inverse_4x4.cpp
  function inverse_permutation_4x4 (line 14) | void inverse_permutation_4x4()
  function inverse_general_4x4 (line 29) | void inverse_general_4x4(int repeat)
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(prec_inverse_4x4)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product.h
  type Matrix (line 26) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> RowVectorType;
  type Matrix (line 27) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> ColVectorType;
  type Matrix (line 28) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAt...
  type Matrix (line 29) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 30) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 248) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixX;

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_extra.cpp
  function product_extra (line 12) | void product_extra(const MatrixType& m)
  function mat_mat_scalar_scalar_product (line 129) | void mat_mat_scalar_scalar_product()
  function zero_sized_objects (line 139) | void zero_sized_objects(const MatrixType& m)
  function bug_127 (line 198) | void bug_127()
  function bug_817 (line 222) | void bug_817()
  function unaligned_objects (line 232) | void unaligned_objects()
  function EIGEN_DONT_INLINE (line 262) | EIGEN_DONT_INLINE
  function Index (line 271) | Index compute_block_size()
  function aliasing_with_resize (line 285) | void aliasing_with_resize()
  function bug_1308 (line 329) | void bug_1308()
  function EIGEN_DECLARE_TEST (line 371) | EIGEN_DECLARE_TEST(product_extra)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_large.cpp
  function test_aliasing (line 14) | void test_aliasing()
  function product_large_regressions (line 35) | void product_large_regressions()
  function bug_1622 (line 92) | void bug_1622() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(product_large)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_mmtr.cpp
  function mmtr (line 28) | void mmtr(int size)
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(product_mmtr)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_notemporary.cpp
  function check_scalar_multiple3 (line 15) | void check_scalar_multiple3(Dst &dst, const Lhs& A, const Rhs& B)
  function check_scalar_multiple2 (line 26) | void check_scalar_multiple2(Dst &dst, const Lhs& A, const Rhs& B, S2 s2)
  function check_scalar_multiple1 (line 36) | void check_scalar_multiple1(Dst &dst, const Lhs& A, const Rhs& B, S1 s1,...

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_selfadjoint.cpp
  function product_selfadjoint (line 12) | void product_selfadjoint(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(product_selfadjoint)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_small.cpp
  function product1x1 (line 16) | void product1x1()
  function TC (line 34) | const TC& ref_prod(TC &C, const TA &A, const TB &B)
  function test_lazy_single (line 44) | typename internal::enable_if<! ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_dynamic_bool (line 59) | void test_dynamic_bool()
  function test_lazy_single (line 84) | typename internal::enable_if<  ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_lazy_all_layout (line 95) | void test_lazy_all_layout(int rows=Rows, int cols=Cols, int depth=Depth)
  function test_lazy_l1 (line 108) | void test_lazy_l1()
  function test_lazy_l2 (line 137) | void test_lazy_l2()
  function test_lazy_l3 (line 173) | void test_lazy_l3()
  function test_linear_but_not_vectorizable (line 206) | void test_linear_but_not_vectorizable()
  function bug_1311 (line 238) | void bug_1311()
  function product_small_regressions (line 256) | void product_small_regressions()
  function EIGEN_DECLARE_TEST (line 285) | EIGEN_DECLARE_TEST(product_small)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_symm.cpp
  function symm (line 12) | void symm(int size = Size, int othersize = OtherSize)
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(product_symm)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_syrk.cpp
  function syrk (line 12) | void syrk(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(product_syrk)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_trmm.cpp
  function get_random_size (line 13) | int get_random_size()
  function trmm (line 21) | void trmm(int rows=get_random_size<Scalar>(),
  function trmv (line 94) | void trmv(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function trmm (line 100) | void trmm(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(product_trmm)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_trmv.cpp
  function trmv (line 12) | void trmv(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(product_trmv)

FILE: VO_Module/thirdparty/lietorch/eigen/test/product_trsolve.cpp
  function trsolve (line 30) | void trsolve(int size=Size,int cols=Cols)
  function EIGEN_DECLARE_TEST (line 102) | EIGEN_DECLARE_TEST(product_trsolve)

FILE: VO_Module/thirdparty/lietorch/eigen/test/qr.cpp
  function qr (line 14) | void qr(const MatrixType& m)
  function qr_fixedsize (line 32) | void qr_fixedsize()
  function qr_invertible (line 48) | void qr_invertible()
  function qr_verify_assert (line 89) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(qr)

FILE: VO_Module/thirdparty/lietorch/eigen/test/qr_colpivoting.cpp
  function cod (line 17) | void cod() {
  function cod_fixedsize (line 67) | void cod_fixedsize() {
  function qr (line 99) | void qr()
  function qr_fixedsize (line 161) | void qr_fixedsize()
  function qr_kahan_matrix (line 210) | void qr_kahan_matrix()
  function qr_invertible (line 250) | void qr_invertible()
  function qr_verify_assert (line 284) | void qr_verify_assert()
  function cod_verify_assert (line 303) | void cod_verify_assert()
  function EIGEN_DECLARE_TEST (line 322) | EIGEN_DECLARE_TEST(qr_colpivoting)

FILE: VO_Module/thirdparty/lietorch/eigen/test/qr_fullpivoting.cpp
  function qr (line 15) | void qr()
  function qr_invertible (line 70) | void qr_invertible()
  function qr_verify_assert (line 109) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qr_fullpivoting)

FILE: VO_Module/thirdparty/lietorch/eigen/test/qtvector.cpp
  function check_qtvector_matrix (line 19) | void check_qtvector_matrix(const MatrixType& m)
  function check_qtvector_transform (line 59) | void check_qtvector_transform(const TransformType&)
  function check_qtvector_quaternion (line 94) | void check_qtvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qtvector)

FILE: VO_Module/thirdparty/lietorch/eigen/test/rand.cpp
  function Scalar (line 14) | Scalar check_in_range(Scalar x, Scalar y)
  function check_all_in_range (line 25) | void check_all_in_range(Scalar x, Scalar y)
  function check_histogram (line 40) | void check_histogram(Scalar x, Scalar y, int bins)
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(rand)

FILE: VO_Module/thirdparty/lietorch/eigen/test/random_without_cast_overflow.h
  function namespace (line 13) | namespace Eigen {
  function SrcScalar (line 126) | static SrcScalar value() { return SrcScalar(random_without_cast_overflow...
  function SrcScalar (line 135) | static SrcScalar value() { return random_without_cast_overflow<SrcScalar...
  type typename (line 144) | typedef typename NumTraits<TgtScalar>::Real TgtReal;
  function SrcScalar (line 145) | static SrcScalar value() {

FILE: VO_Module/thirdparty/lietorch/eigen/test/real_qz.cpp
  function real_qz (line 15) | void real_qz(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 78) | EIGEN_DECLARE_TEST(real_qz)

FILE: VO_Module/thirdparty/lietorch/eigen/test/redux.cpp
  function matrixRedux (line 17) | void matrixRedux(const MatrixType& m)
  function vectorRedux (line 85) | void vectorRedux(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(redux)

FILE: VO_Module/thirdparty/lietorch/eigen/test/ref.cpp
  function ref_matrix (line 33) | void ref_matrix(const MatrixType& m)
  function ref_vector (line 80) | void ref_vector(const VectorType& m)
  function ref_vector_fixed_sizes (line 145) | void ref_vector_fixed_sizes()
  function check_const_correctness (line 207) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 218) | EIGEN_DONT_INLINE void call_ref_1(Ref<VectorXf> a, const B &b) { VERIFY_...
  function EIGEN_DONT_INLINE (line 220) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const VectorXf>& a, const B ...
  function EIGEN_DONT_INLINE (line 222) | EIGEN_DONT_INLINE void call_ref_3(Ref<VectorXf,0,InnerStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 224) | EIGEN_DONT_INLINE void call_ref_4(const Ref<const VectorXf,0,InnerStride...
  function EIGEN_DONT_INLINE (line 226) | EIGEN_DONT_INLINE void call_ref_5(Ref<MatrixXf,0,OuterStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 228) | EIGEN_DONT_INLINE void call_ref_6(const Ref<const MatrixXf,0,OuterStride...
  function EIGEN_DONT_INLINE (line 230) | EIGEN_DONT_INLINE void call_ref_7(Ref<Matrix<float,Dynamic,3> > a, const...
  function call_ref (line 232) | void call_ref()
  function test_ref_overload_fun1 (line 293) | int test_ref_overload_fun1(Ref<MatrixXd> )       { return 1; }
  function test_ref_overload_fun1 (line 294) | int test_ref_overload_fun1(Ref<RowMatrixXd> )    { return 2; }
  function test_ref_overload_fun1 (line 295) | int test_ref_overload_fun1(Ref<MatrixXf> )       { return 3; }
  function test_ref_overload_fun2 (line 297) | int test_ref_overload_fun2(Ref<const MatrixXd> ) { return 4; }
  function test_ref_overload_fun2 (line 298) | int test_ref_overload_fun2(Ref<const MatrixXf> ) { return 5; }
  function test_ref_ambiguous (line 300) | void test_ref_ambiguous(const Ref<const ArrayXd> &A, Ref<ArrayXd> B)
  function test_ref_overloads (line 307) | void test_ref_overloads()
  function test_ref_fixed_size_assert (line 323) | void test_ref_fixed_size_assert()
  function EIGEN_DECLARE_TEST (line 334) | EIGEN_DECLARE_TEST(ref)

FILE: VO_Module/thirdparty/lietorch/eigen/test/reshape.cpp
  function is_same_eq (line 14) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function check_auto_reshape4x4 (line 21) | void check_auto_reshape4x4(MatType m)
  function check_direct_access_reshape4x4 (line 53) | void check_direct_access_reshape4x4(MatType , internal::FixedInt<RowMajo...
  function check_direct_access_reshape4x4 (line 56) | void check_direct_access_reshape4x4(MatType m, internal::FixedInt<0>) {
  function reshape4x4 (line 67) | void reshape4x4(MatType m)
  function EIGEN_DECLARE_TEST (line 196) | EIGEN_DECLARE_TEST(reshape)

FILE: VO_Module/thirdparty/lietorch/eigen/test/resize.cpp
  function resizeLikeTest (line 13) | void resizeLikeTest()
  function resizeLikeTest12 (line 32) | void resizeLikeTest12() { resizeLikeTest<1,2>(); }
  function resizeLikeTest1020 (line 33) | void resizeLikeTest1020() { resizeLikeTest<10,20>(); }
  function resizeLikeTest31 (line 34) | void resizeLikeTest31() { resizeLikeTest<3,1>(); }
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(resize)

FILE: VO_Module/thirdparty/lietorch/eigen/test/rvalue_types.cpp
  class SafeScalar (line 23) | class SafeScalar {
    method SafeScalar (line 25) | SafeScalar() : initialized_(false) {}
    method SafeScalar (line 26) | SafeScalar(const SafeScalar& other) {
    method SafeScalar (line 29) | SafeScalar& operator=(const SafeScalar& other) {
    method SafeScalar (line 35) | SafeScalar(T val) : val_(val), initialized_(true) {}
    method SafeScalar (line 36) | SafeScalar& operator=(T val) {
  function rvalue_copyassign (line 53) | void rvalue_copyassign(const MatrixType& m)
  function rvalue_transpositions (line 80) | void rvalue_transpositions(Index rows)
  function rvalue_move (line 113) | void rvalue_move(const MatrixType& m)
  function rvalue_copyassign (line 148) | void rvalue_copyassign(const MatrixType&) {}
  function rvalue_transpositions (line 150) | void rvalue_transpositions(Index) {}
  function rvalue_move (line 152) | void rvalue_move(const MatrixType&) {}
  function EIGEN_DECLARE_TEST (line 155) | EIGEN_DECLARE_TEST(rvalue_types)

FILE: VO_Module/thirdparty/lietorch/eigen/test/schur_complex.cpp
  function schur (line 14) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(schur_complex)

FILE: VO_Module/thirdparty/lietorch/eigen/test/schur_real.cpp
  function verifyIsQuasiTriangular (line 14) | void verifyIsQuasiTriangular(const MatrixType& T)
  function schur (line 38) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(schur_real)

FILE: VO_Module/thirdparty/lietorch/eigen/test/selfadjoint.cpp
  function selfadjoint (line 16) | void selfadjoint(const MatrixType& m)
  function bug_159 (line 53) | void bug_159()
  function EIGEN_DECLARE_TEST (line 59) | EIGEN_DECLARE_TEST(selfadjoint)

FILE: VO_Module/thirdparty/lietorch/eigen/test/simplicial_cholesky.cpp
  function test_simplicial_cholesky_T (line 12) | void test_simplicial_cholesky_T()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(simplicial_cholesky)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sizeof.cpp
  function verifySizeOf (line 12) | void verifySizeOf(const MatrixType&)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(sizeof)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sizeoverflow.cpp
  function triggerMatrixBadAlloc (line 22) | void triggerMatrixBadAlloc(Index rows, Index cols)
  function triggerVectorBadAlloc (line 30) | void triggerVectorBadAlloc(Index size)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(sizeoverflow)

FILE: VO_Module/thirdparty/lietorch/eigen/test/smallvectors.cpp
  function smallVectors (line 13) | void smallVectors()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(smallvectors)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparseLM.cpp
  type sparseGaussianTest (line 21) | struct sparseGaussianTest : SparseFunctor<Scalar, int>
    method sparseGaussianTest (line 26) | sparseGaussianTest(int inputs, int values) : SparseFunctor<Scalar,int>...
    method VectorType (line 29) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 54) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 83) | int df(const VectorType& uv, JacobianType& fjac)
  function test_sparseLM_T (line 129) | void test_sparseLM_T()
  function EIGEN_DECLARE_TEST (line 171) | EIGEN_DECLARE_TEST(sparseLM)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_basic.cpp
  function sparse_basic (line 24) | void sparse_basic(const SparseMatrixType& ref)
  function big_sparse_triplet (line 685) | void big_sparse_triplet(Index rows, Index cols, double density) {
  function bug1105 (line 711) | void bug1105()
  function EIGEN_DECLARE_TEST (line 727) | EIGEN_DECLARE_TEST(sparse_basic)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_block.cpp
  function innervec (line 14) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==RowMajorBit,...
  function innervec (line 21) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==0, typename ...
  function sparse_block (line 27) | void sparse_block(const SparseMatrixType& ref)
  function EIGEN_DECLARE_TEST (line 293) | EIGEN_DECLARE_TEST(sparse_block)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_permutations.cpp
  function is_sorted (line 23) | bool is_sorted(const T& mat) {
  function eval (line 38) | typename internal::nested_eval<T,1>::type eval(const T &xpr)
  function sparse_permutations (line 44) | void sparse_permutations(const SparseMatrixType& ref)
  function sparse_permutations_all (line 215) | void sparse_permutations_all(int size)
  function EIGEN_DECLARE_TEST (line 223) | EIGEN_DECLARE_TEST(sparse_permutations)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_product.cpp
  function on_temporary_creation (line 18) | inline void on_temporary_creation() {
  function sparse_product (line 36) | void sparse_product()
  function sparse_product_regression_test (line 338) | void sparse_product_regression_test()
  function bug_942 (line 360) | void bug_942()
  function test_mixing_types (line 383) | void test_mixing_types()
  function EIGEN_DECLARE_TEST (line 464) | EIGEN_DECLARE_TEST(sparse_product)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_ref.cpp
  function on_temporary_creation (line 17) | inline void on_temporary_creation() {
  function check_const_correctness (line 34) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void call_ref_1(Ref<SparseMatrix<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 48) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float> >&...
  function EIGEN_DONT_INLINE (line 51) | EIGEN_DONT_INLINE void call_ref_3(const Ref<const SparseMatrix<float>, S...
  function EIGEN_DONT_INLINE (line 57) | EIGEN_DONT_INLINE void call_ref_4(Ref<SparseVector<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 60) | EIGEN_DONT_INLINE void call_ref_5(const Ref<const SparseVector<float> >&...
  function call_ref (line 62) | void call_ref()
  function EIGEN_DECLARE_TEST (line 129) | EIGEN_DECLARE_TEST(sparse_ref)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_solver.h
  type typename (line 47) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 152) | typedef typename Eigen::SparseMatrix<Scalar> Mat;
  type typename (line 153) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 154) | typedef typename Eigen::SparseLU<Eigen::SparseMatrix<Scalar> > Solver;
  type typename (line 281) | typedef typename Solver::MatrixType Mat;
  type typename (line 282) | typedef typename Mat::Scalar Scalar;
  type typename (line 283) | typedef typename Mat::RealScalar RealScalar;
  type typename (line 314) | typedef typename Solver::MatrixType Mat;
  type typename (line 315) | typedef typename Mat::Scalar Scalar;
  type typename (line 331) | typedef typename Solver::MatrixType Mat;
  type typename (line 332) | typedef typename Mat::Scalar Scalar;
  type typename (line 348) | typedef typename Solver::MatrixType Mat;
  type typename (line 349) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 350) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 406) | typedef typename Solver::MatrixType Mat;
  type typename (line 407) | typedef typename Mat::Scalar Scalar;
  type typename (line 408) | typedef typename Mat::StorageIndex StorageIndex;
  type SparseMatrix (line 409) | typedef SparseMatrix<Scalar,ColMajor, StorageIndex> SpMat;
  type Matrix (line 411) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 412) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 491) | typedef typename Solver::MatrixType Mat;
  type typename (line 492) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 493) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 509) | typedef typename Solver::MatrixType Mat;
  type typename (line 510) | typedef typename Mat::Scalar Scalar;
  type prune_column (line 524) | struct prune_column {
  type typename (line 536) | typedef typename Solver::MatrixType Mat;
  type typename (line 537) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 538) | typedef SparseMatrix<Scalar,ColMajor, typename
  type SparseVector (line 539) | typedef SparseVector<Scalar, 0, typename
  type Matrix (line 540) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 541) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 613) | typedef typename Solver::MatrixType Mat;
  type typename (line 614) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 615) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 636) | typedef typename Solver::MatrixType Mat;
  type typename (line 637) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 638) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 653) | typedef typename Solver::MatrixType Mat;
  type typename (line 654) | typedef typename Mat::Scalar Scalar;
  type typename (line 668) | typedef typename Solver::MatrixType Mat;
  type typename (line 669) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 670) | typedef SparseMatrix<Scalar,ColMajor, typename
  type Matrix (line 671) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 672) | typedef Matrix<Scalar,Dynamic,1> DenseVector;

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_solvers.cpp
  function initSPD (line 12) | void
  function sparse_solvers (line 33) | void sparse_solvers(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 117) | EIGEN_DECLARE_TEST(sparse_solvers)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparse_vector.cpp
  function sparse_vector (line 12) | void sparse_vector(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 148) | EIGEN_DECLARE_TEST(sparse_vector)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparselu.cpp
  function test_sparselu_T (line 22) | void test_sparselu_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(sparselu)

FILE: VO_Module/thirdparty/lietorch/eigen/test/sparseqr.cpp
  function generate_sparse_rectangular_problem (line 13) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_sparseqr_scalar (line 44) | void test_sparseqr_scalar()
  function EIGEN_DECLARE_TEST (line 141) | EIGEN_DECLARE_TEST(sparseqr)

FILE: VO_Module/thirdparty/lietorch/eigen/test/special_numbers.cpp
  function special_numbers (line 12) | void special_numbers()
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(special_numbers)

FILE: VO_Module/thirdparty/lietorch/eigen/test/spqr_support.cpp
  function generate_sparse_rectangular_problem (line 15) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_spqr_scalar (line 30) | void test_spqr_scalar()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(spqr_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stable_norm.cpp
  function EIGEN_DONT_INLINE (line 12) | EIGEN_DONT_INLINE T copy(const T& x)
  function stable_norm (line 17) | void stable_norm(const MatrixType& m)
  function test_hypot (line 199) | void test_hypot()
  function EIGEN_DECLARE_TEST (line 229) | EIGEN_DECLARE_TEST(stable_norm)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stddeque.cpp
  function check_stddeque_matrix (line 16) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 46) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 75) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stddeque)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stddeque_overload.cpp
  function check_stddeque_matrix (line 29) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 64) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 98) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(stddeque_overload)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stdlist.cpp
  function check_stdlist_matrix (line 16) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 46) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 75) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stdlist)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stdlist_overload.cpp
  function get (line 29) | typename Container::iterator get(Container & c, Position position)
  function set (line 37) | void set(Container & c, Position position, const Value & value)
  function check_stdlist_matrix (line 45) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 86) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 126) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 165) | EIGEN_DECLARE_TEST(stdlist_overload)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stdvector.cpp
  function check_stdvector_matrix (line 15) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 51) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 86) | void check_stdvector_quaternion(const QuaternionType&)
  function std_vector_gcc_warning (line 123) | void std_vector_gcc_warning()
  function EIGEN_DECLARE_TEST (line 130) | EIGEN_DECLARE_TEST(stdvector)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stdvector_overload.cpp
  function check_stdvector_matrix (line 29) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 65) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 100) | void check_stdvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(stdvector_overload)

FILE: VO_Module/thirdparty/lietorch/eigen/test/stl_iterators.cpp
  function make_reverse_iterator (line 15) | std::reverse_iterator<Iterator>
  function ForwardIt (line 23) | ForwardIt is_sorted_until(ForwardIt firstIt, ForwardIt lastIt)
  function is_sorted (line 36) | bool is_sorted(ForwardIt firstIt, ForwardIt lastIt)
  function is_pointer_based_stl_iterator (line 45) | bool is_pointer_based_stl_iterator(const internal::pointer_based_stl_ite...
  function is_generic_randaccess_stl_iterator (line 48) | bool is_generic_randaccess_stl_iterator(const internal::generic_randacce...
  function check_begin_end_for_loop (line 51) | void check_begin_end_for_loop(Xpr xpr)
  function test_stl_iterators (line 111) | void test_stl_iterators(int rows=Rows, int cols=Cols)
  function IsContainerType (line 486) | bool IsContainerType(int /* dummy */) { return true; }
  function IsContainerType (line 489) | bool IsContainerType(long /* dummy */) { return false; }
  function test_stl_container_detection (line 492) | void test_stl_container_detection(int rows=Rows, int cols=Cols)
  function EIGEN_DECLARE_TEST (line 521) | EIGEN_DECLARE_TEST(stl_iterators)

FILE: VO_Module/thirdparty/lietorch/eigen/test/superlu_support.cpp
  function EIGEN_DECLARE_TEST (line 15) | EIGEN_DECLARE_TEST(superlu_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/svd_common.h
  type typename (line 35) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 36) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 37) | typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixUType;
  type Matrix (line 38) | typedef Matrix<Scalar, ColsAtCompileTime, ColsAtCompileTime> MatrixVType;
  type typename (line 63) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 102) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 103) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 112) | typedef Matrix<Scalar, RowsAtCompileTime, Dynamic> RhsType;
  type Matrix (line 113) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type typename (line 169) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 176) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type Matrix (line 183) | typedef Matrix<Scalar, RankAtCompileTime2, ColsAtCompileTime> MatrixType2;
  type Matrix (line 184) | typedef Matrix<Scalar, RankAtCompileTime2, 1> RhsType2;
  type Matrix (line 185) | typedef Matrix<Scalar, ColsAtCompileTime, RankAtCompileTime2> MatrixType2T;
  type Matrix (line 209) | typedef Matrix<Scalar, RowsAtCompileTime3, ColsAtCompileTime> MatrixType3;
  type Matrix (line 210) | typedef Matrix<Scalar, RowsAtCompileTime3, 1> RhsType3;
  type Matrix (line 238) | typedef Matrix<typename
  type typename (line 306) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 460) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 469) | typedef Matrix<Scalar, RowsAtCompileTime, 1> RhsType;

FILE: VO_Module/thirdparty/lietorch/eigen/test/svd_fill.h
  type typename (line 24) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 25) | typedef typename MatrixType::RealScalar RealScalar;

FILE: VO_Module/thirdparty/lietorch/eigen/test/swap.cpp
  type other_matrix_type (line 14) | struct other_matrix_type
  type other_matrix_type<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > (line 20) | struct other_matrix_type<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRow...
  function swap (line 25) | void swap(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 86) | EIGEN_DECLARE_TEST(swap)

FILE: VO_Module/thirdparty/lietorch/eigen/test/symbolic_index.cpp
  function is_same_symb (line 23) | bool is_same_symb(const T1& a, const T2& b, Index size)
  function check_symbolic_index (line 40) | void check_symbolic_index()
  function EIGEN_DECLARE_TEST (line 80) | EIGEN_DECLARE_TEST(symbolic_index)

FILE: VO_Module/thirdparty/lietorch/eigen/test/triangular.cpp
  function triangular_deprecated (line 17) | void triangular_deprecated(const MatrixType &m)
  function triangular_square (line 40) | void triangular_square(const MatrixType& m)
  function triangular_rect (line 178) | void triangular_rect(const MatrixType& m)
  function bug_159 (line 260) | void bug_159()
  function EIGEN_DECLARE_TEST (line 266) | EIGEN_DECLARE_TEST(triangular)

FILE: VO_Module/thirdparty/lietorch/eigen/test/type_alias.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(type_alias)

FILE: VO_Module/thirdparty/lietorch/eigen/test/umeyama.cpp
  function randMatrixUnitary (line 22) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixUnitary(int s...
  function randMatrixSpecialUnitary (line 75) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixSpecialUnitar...
  function run_test (line 91) | void run_test(int dim, int num_elements)
  function run_fixed_size_test (line 121) | void run_fixed_size_test(int num_elements)
  function EIGEN_DECLARE_TEST (line 158) | EIGEN_DECLARE_TEST(umeyama)

FILE: VO_Module/thirdparty/lietorch/eigen/test/umfpack_support.cpp
  function test_umfpack_support_T (line 15) | void test_umfpack_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(umfpack_support)

FILE: VO_Module/thirdparty/lietorch/eigen/test/unalignedassert.cpp
  type TestNew1 (line 38) | struct TestNew1
    method TestNew1 (line 41) | TestNew1() : m(20,20) {}
  type TestNew2 (line 44) | struct TestNew2
  type TestNew3 (line 50) | struct TestNew3
  type TestNew4 (line 55) | struct TestNew4
  type TestNew5 (line 62) | struct TestNew5
  type TestNew6 (line 69) | struct TestNew6
  type Depends (line 75) | struct Depends
  function check_unalignedassert_good (line 83) | void check_unalignedassert_good()
  function construct_at_boundary (line 94) | void construct_at_boundary(int boundary)
  function unalignedassert (line 106) | void unalignedassert()
  function EIGEN_DECLARE_TEST (line 177) | EIGEN_DECLARE_TEST(unalignedassert)

FILE: VO_Module/thirdparty/lietorch/eigen/test/unalignedcount.cpp
  function EIGEN_DECLARE_TEST (line 31) | EIGEN_DECLARE_TEST(unalignedcount)

FILE: VO_Module/thirdparty/lietorch/eigen/test/upperbidiagonalization.cpp
  function upperbidiag (line 13) | void upperbidiag(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(upperbidiagonalization)

FILE: VO_Module/thirdparty/lietorch/eigen/test/vectorization_logic.cpp
  function test_assign (line 38) | bool test_assign(const Dst&, const Src&, int traversal, int unrolling)
  function test_assign (line 63) | bool test_assign(int traversal, int unrolling)
  function test_redux (line 84) | bool test_redux(const Xpr&, int traversal, int unrolling)
  type vectorization_logic (line 105) | struct vectorization_logic
    method run (line 115) | static void run()
  type vectorization_logic<Scalar,false> (line 264) | struct vectorization_logic<Scalar,false>
    method run (line 266) | static void run() {}
  type vectorization_logic_half (line 271) | struct vectorization_logic_half
    method run (line 278) | static void run()
  type vectorization_logic_half<Scalar,false> (line 388) | struct vectorization_logic_half<Scalar,false>
    method run (line 390) | static void run() {}
  function EIGEN_DECLARE_TEST (line 393) | EIGEN_DECLARE_TEST(vectorization_logic)

FILE: VO_Module/thirdparty/lietorch/eigen/test/vectorwiseop.cpp
  function vectorwiseop_array (line 16) | void vectorwiseop_array(const ArrayType& m)
  function vectorwiseop_matrix (line 129) | void vectorwiseop_matrix(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 286) | EIGEN_DECLARE_TEST(vectorwiseop)

FILE: VO_Module/thirdparty/lietorch/eigen/test/visitor.cpp
  function matrixVisitor (line 12) | void matrixVisitor(const MatrixType& p)
  function vectorVisitor (line 99) | void vectorVisitor(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(visitor)

FILE: VO_Module/thirdparty/lietorch/eigen/test/zerosized.cpp
  function zeroReduction (line 13) | void zeroReduction(const MatrixType& m) {
  function zeroSizedMatrix (line 34) | void zeroSizedMatrix()
  function zeroSizedVector (line 77) | void zeroSizedVector()
  function EIGEN_DECLARE_TEST (line 93) | EIGEN_DECLARE_TEST(zerosized)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 115) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, Index secondIn...
  function Scalar (line 124) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 141) | const Scalar& coeff() const
  function Scalar (line 203) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 208) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 213) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 218) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 236) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 241) | const Scalar& operator()(Index index) const
  function Scalar (line 247) | const Scalar& operator()() const
  function m_storage (line 334) | Tensor(const Self& other)
  function EIGEN_STRONG_INLINE (line 341) | EIGEN_STRONG_INLINE Tensor(Index firstDimension, IndexTypes... otherDime...
  function explicit (line 348) | explicit Tensor(Index dim1)
  function EIGEN_DEVICE_FUNC (line 353) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2)
  function EIGEN_DEVICE_FUNC (line 358) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 363) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 368) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function explicit (line 376) | explicit Tensor(const array<Index, NumIndices>& dimensions)
  type TensorAssignOp (line 396) | typedef TensorAssignOp<Tensor, const
  type TensorAssignOp (line 419) | typedef TensorAssignOp<Tensor, const
  function resize (line 438) | void resize(Index firstDimension, IndexTypes... otherDimensions)
  function EIGEN_DEVICE_FUNC (line 447) | EIGEN_DEVICE_FUNC void resize(const array<Index, NumIndices>& dimensions)
  function EIGEN_DEVICE_FUNC (line 465) | EIGEN_DEVICE_FUNC void resize(const DSizes<Index, NumIndices>& dimension...
  function EIGEN_DEVICE_FUNC (line 473) | EIGEN_DEVICE_FUNC
  function resize (line 483) | void resize(const Eigen::IndexList<FirstType, OtherTypes...>& dimensions) {
  function resize (line 514) | size_t V5>
  function Index (line 542) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 57) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 58) | typedef typename Eigen::internal::nested<TensorIndexTupleOp>::type Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorIndexTupleOp>::StorageKin...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorIndexTupleOp>::Index Index;
  type Tuple (line 61) | typedef Tuple<Index, typename
  function m_xpr (line 63) | TensorIndexTupleOp(const XprType& expr)
  type typename (line 79) | typedef typename XprType::Index Index;
  type typename (line 80) | typedef typename XprType::Scalar Scalar;
  type typename (line 81) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 83) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 85) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 86) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 99) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 109) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 113) | void cleanup() {
  function CoeffReturnType (line 117) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 122) | TensorOpCost
  function bind (line 130) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 139) | namespace internal {
  type TensorTupleReducerOp (line 163) | typedef const TensorTupleReducerOp<ReduceOp, Dims, XprType>EIGEN_DEVICE_...
  type typename (line 179) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Scalar S...
  type typename (line 180) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 181) | typedef typename Eigen::internal::nested<TensorTupleReducerOp>::type Nes...
  type typename (line 182) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::StorageK...
  type typename (line 183) | typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Index In...
  type Index (line 184) | typedef Index CoeffReturnType;
  type typename (line 217) | typedef typename XprType::Index Index;
  type typename (line 218) | typedef typename XprType::Scalar Scalar;
  type typename (line 219) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 220) | typedef typename TensorIndexTupleOp<ArgType>::CoeffReturnType TupleType;
  type typename (line 221) | typedef typename TensorEvaluator<const TensorReductionOp<ReduceOp, Dims,...
  type typename (line 222) | typedef typename TensorEvaluator<const TensorIndexTupleOp<ArgType> , Dev...
  type array (line 224) | typedef array<Index, NumDims> StrideDims;
  type StorageMemory (line 225) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 226) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 227) | typedef StorageMemory<TupleType, Device> TupleStorageMem;
  type internal (line 240) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 266) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 270) | void cleanup() {
  function CoeffReturnType (line 274) | CoeffReturnType coeff(Index index) const {
  function bind (line 281) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 287) | TensorOpCost

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 65) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 66) | typedef typename LhsXprType::CoeffReturnType CoeffReturnType;
  type typename (line 67) | typedef typename Eigen::internal::nested<TensorAssignOp>::type Nested;
  type typename (line 68) | typedef typename Eigen::internal::traits<TensorAssignOp>::StorageKind St...
  type typename (line 69) | typedef typename Eigen::internal::traits<TensorAssignOp>::Index Index;
  type typename (line 95) | typedef typename XprType::Index Index;
  type typename (line 96) | typedef typename XprType::Scalar Scalar;
  type typename (line 97) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 98) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 99) | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimen...
  type StorageMemory (line 100) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 101) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 120) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 121) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 123) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  function EIGEN_DEVICE_FUNC (line 127) | EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& devic...
  function evalSubExprsIfNeeded (line 145) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 157) | void evalSubExprsIfNeededAsync(
  function cleanup (line 166) | void cleanup() {
  function evalScalar (line 171) | void evalScalar(Index i) {
  function evalPacket (line 174) | void evalPacket(Index i) {
  function EIGEN_DEVICE_FUNC (line 180) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 185) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 190) | TensorOpCost
  function evalBlock (line 210) | void evalBlock(
  function bind (line 231) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
  function namespace (line 15) | namespace Eigen {
  type Eigen (line 604) | typedef Eigen::IndexPair<Index> DimensionPair;
  type TensorScanOp (line 633) | typedef TensorScanOp<internal::SumReducer<CoeffReturnType>, const
  type TensorScanOp (line 640) | typedef TensorScanOp<internal::ProdReducer<CoeffReturnType>, const
  function TensorLayoutSwapOp (line 877) | const TensorLayoutSwapOp<const Derived>
  function TensorIndexTupleOp (line 940) | const TensorIndexTupleOp<const Derived>
  type TensorAssignOp (line 1162) | typedef TensorAssignOp<Derived, const

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
  function namespace (line 11) | namespace Eigen {
  function TensorBlockShapeType (line 73) | enum class TensorBlockShapeType { kUniformAllDims, kSkewedInnerDims };
  function class (line 202) | class DestinationBuffer {
  function IndexType (line 300) | IndexType dimension(int index) const { return m_dimensions[index]; }
  function TensorBlockDescriptor (line 331) | TensorBlockDescriptor WithOffset(IndexType offset) const {
  type TensorBlockDescriptor (line 348) | typedef TensorBlockDescriptor<NumDims, IndexType> BlockDescriptor;
  function BlockDescriptor (line 374) | BlockDescriptor
  function reset (line 572) | void reset() { m_allocation_index = 0; }
  type Allocation (line 575) | struct Allocation {
  type TensorBlockKind (line 589) | enum TensorBlockKind {
  function class (line 617) | class TensorBlockNotImplemented {
  type typename (line 629) | typedef typename XprType::Scalar type;
  function void (line 632) | struct XprScalar<void> {
  type TensorMap (line 659) | typedef TensorMap<const Tensor<Scalar, NumDims, Layout> > XprType;
  function XprType (line 677) | const XprType& expr() const {
  function cleanup (line 682) | void cleanup() {}
  type internal (line 684) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  function class (line 694) | class Storage {
  function TensorMaterializedBlock (line 762) | static TensorMaterializedBlock materialize(
  type typename (line 845) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 850) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 853) | const Scalar* data() const { return NULL; }
  function cleanup (line 854) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 878) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 887) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 893) | const Scalar* data() const { return NULL; }
  function cleanup (line 895) | void cleanup() {
  type typename (line 913) | typedef typename ArgTensorBlock::XprType ArgXprType;
  type typename (line 921) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 927) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 929) | const Scalar* data() const { return NULL; }
  function cleanup (line 930) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 944) | typedef typename Arg1TensorBlock::XprType Arg1XprType;
  type typename (line 945) | typedef typename Arg2TensorBlock::XprType Arg2XprType;
  type typename (line 946) | typedef typename Arg3TensorBlock::XprType Arg3XprType;
  type typename (line 958) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 969) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 974) | const Scalar* data() const { return NULL; }
  function cleanup (line 975) | void cleanup() {
  type typename (line 994) | typedef typename packet_traits<Scalar>::type Packet;
  type class (line 1002) | enum class
  type Dst (line 1011) | struct Dst {
  type Src (line 1019) | struct Src {
  function Run (line 1029) | void Run(const Dst& dst,
  function Run (line 1038) | void Run(
  type StridedLinearBufferCopy (line 1146) | typedef StridedLinearBufferCopy<Scalar, IndexType> LinCopy;
  type DSizes (line 1150) | typedef DSizes<int, NumDims> DimensionsMap;
  type Dst (line 1152) | struct Dst {
  type Src (line 1163) | struct Src {
  function IndexType (line 1178) | IndexType Copy(
  function IndexType (line 1321) | IndexType Copy(const Dst& dst,
  type BlockIteratorState (line 1329) | struct BlockIteratorState {
  type Target (line 1435) | struct Target {
  function Run (line 1465) | void Run(

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
  function namespace (line 13) | namespace Eigen {
  function Sizes (line 54) | struct is_input_scalar<Sizes<> > {
  type is_input_scalar (line 59) | struct is_input_scalar
  type typename (line 73) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 74) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 75) | typedef typename Eigen::internal::nested<TensorBroadcastingOp>::type Nes...
  type typename (line 76) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::StorageK...
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::Index In...
  type typename (line 100) | typedef typename XprType::Index Index;
  type DSizes (line 102) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 103) | typedef typename XprType::Scalar Scalar;
  type typename (line 104) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 105) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 106) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 112) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 123) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 130) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 131) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 133) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 136) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function evalSubExprsIfNeeded (line 214) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 221) | void evalSubExprsIfNeededAsync(
  function cleanup (line 227) | void cleanup() {
  function CoeffReturnType (line 231) | CoeffReturnType coeff(Index index) const
  function Index (line 253) | Index indexColMajor(Index index) const {
  function CoeffReturnType (line 283) | CoeffReturnType coeffColMajor(Index index) const
  function Index (line 288) | Index indexRowMajor(Index index) const {
  function CoeffReturnType (line 318) | CoeffReturnType coeffRowMajor(Index index) const
  function EIGEN_ALWAYS_INLINE (line 324) | EIGEN_ALWAYS_INLINE PacketReturnType packet(Index index) const
  function EIGEN_STRONG_INLINE (line 369) | EIGEN_STRONG_INLINE PacketReturnType packetOneByNByOne
  function EIGEN_STRONG_INLINE (line 412) | EIGEN_STRONG_INLINE PacketReturnType packetOneByN(Index index) const
  function EIGEN_STRONG_INLINE (line 442) | EIGEN_STRONG_INLINE PacketReturnType packetNByOne(Index index) const
  function EIGEN_STRONG_INLINE (line 479) | EIGEN_STRONG_INLINE PacketReturnType packetColMajor(Index index) const
  function EIGEN_STRONG_INLINE (line 537) | EIGEN_STRONG_INLINE PacketReturnType packetRowMajor(Index index) const
  type BlockBroadcastingParams (line 725) | struct BlockBroadcastingParams {
  type BlockBroadcastingIteratorState (line 746) | struct BlockBroadcastingIteratorState {
  function BlockBroadcastingParams (line 753) | BlockBroadcastingParams
  function Index (line 850) | Index BroadcastBlockAlongBcastDim(
  function Index (line 1017) | Index BroadcastBlock(

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 53) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DimensionId(DenseIndex dim) {
  function Dynamic (line 62) | struct DimensionId<Dynamic>
  type typename (line 84) | typedef typename Eigen::internal::traits<TensorChippingOp>::Scalar Scalar;
  type typename (line 85) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 86) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 87) | typedef typename Eigen::internal::nested<TensorChippingOp>::type Nested;
  type typename (line 88) | typedef typename Eigen::internal::traits<TensorChippingOp>::StorageKind ...
  type typename (line 89) | typedef typename Eigen::internal::traits<TensorChippingOp>::Index Index;
  type typename (line 120) | typedef typename XprType::Index Index;
  type DSizes (line 121) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 122) | typedef typename XprType::Scalar Scalar;
  type typename (line 123) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 124) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 126) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 127) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 151) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 154) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 155) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type internal (line 157) | typedef internal::TensorBlockDescriptor<NumInputDims, Index>
  type typename (line 159) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 162) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function evalSubExprsIfNeeded (line 203) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function cleanup (line 208) | void cleanup() {
  function CoeffReturnType (line 212) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 218) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 259) | TensorOpCost
  type TensorChippingOp (line 414) | typedef TensorChippingOp<DimId, ArgType> XprType;
  type typename (line 417) | typedef typename XprType::Index Index;
  type DSizes (line 418) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 419) | typedef typename XprType::Scalar Scalar;
  type typename (line 420) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 421) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 433) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  function writePacket (line 446) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 485) | void writeBlock(

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 64) | typedef typename internal::traits<TensorConcatenationOp>::Scalar Scalar;
  type typename (line 65) | typedef typename internal::traits<TensorConcatenationOp>::StorageKind St...
  type typename (line 66) | typedef typename internal::traits<TensorConcatenationOp>::Index Index;
  type typename (line 67) | typedef typename internal::nested<TensorConcatenationOp>::type Nested;
  type typename (line 68) | typedef typename internal::promote_storage_type<typename
  type typename (line 70) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 98) | typedef typename XprType::Index Index;
  type DSizes (line 101) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 102) | typedef typename XprType::Scalar Scalar;
  type typename (line 103) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 104) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 105) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 106) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 119) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 175) | bool evalSubExprsIfNeeded(EvaluatorPointerType)
  function cleanup (line 182) | void cleanup()
  function CoeffReturnType (line 190) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 248) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 263) | TensorOpCost
  function bind (line 282) | void bind(cl::sycl::handler &cgh) const {
  type TensorConcatenationOp (line 304) | typedef TensorConcatenationOp<Axis, LeftArgType, RightArgType> XprType;
  type typename (line 305) | typedef typename Base::Dimensions Dimensions;
  type internal (line 318) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 327) | typedef typename XprType::Index Index;
  type typename (line 328) | typedef typename XprType::Scalar Scalar;
  type typename (line 329) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 330) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 361) | void writePacket(Index index, const PacketReturnType& x)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
  function namespace (line 13) | namespace Eigen {
  type LeftArgType_ (line 68) | typedef LeftArgType_ LeftArgType;
  type RightArgType_ (line 69) | typedef RightArgType_ RightArgType;
  type OutputKernelType_ (line 70) | typedef OutputKernelType_ OutputKernelType;
  type Device_ (line 71) | typedef Device_ Device;
  function BlockMemHandle (line 83) | static BlockMemHandle allocate(Device& d, const Index bm,
  function BlockMemHandle (line 99) | static BlockMemHandle allocateSlices(
  function deallocate (line 131) | static void deallocate(Device& d, BlockMemHandle handle) {
  type BlockSizes (line 136) | struct BlockSizes {
  function EIGEN_DEVICE_FUNC (line 140) | EIGEN_DEVICE_FUNC static BlockSizes ComputeLhsRhsBlockSizes(const Index bm,
  type RhsScalar (line 194) | typedef RhsScalar* RhsBlock;
  type TensorContractionBlockMemAllocator (line 197) | typedef TensorContractionBlockMemAllocator<LhsScalar, RhsScalar>
  type typename (line 199) | typedef typename BlockMemAllocator::BlockMemHandle BlockMemHandle;
  type typename (line 201) | typedef typename internal::gebp_traits<LhsScalar, RhsScalar> Traits;
  type internal (line 203) | typedef internal::gemm_pack_lhs<
  type internal (line 208) | typedef internal::gemm_pack_rhs<RhsScalar, StorageIndex,
  type internal (line 213) | typedef internal::gebp_kernel<LhsScalar, RhsScalar, StorageIndex,
  function deallocate (line 234) | static void deallocate(Device& d, BlockMemHandle handle) {
  function packLhs (line 238) | void packLhs(
  function packRhs (line 245) | void packRhs(
  function invoke (line 251) | void invoke(
  type TensorContractionParams (line 281) | struct TensorContractionParams {
  type NoOpOutputKernel (line 294) | struct NoOpOutputKernel {
  type typename (line 329) | typedef typename internal::gebp_traits<typename
  type typename (line 331) | typedef typename Eigen::internal::nested<TensorContractionOp>::type Nested;
  type typename (line 332) | typedef typename Eigen::internal::traits<TensorContractionOp>::StorageKi...
  type typename (line 333) | typedef typename Eigen::internal::traits<TensorContractionOp>::Index Index;
  type typename (line 367) | typedef typename internal::traits<Derived>::Indices Indices;
  type typename (line 368) | typedef typename internal::traits<Derived>::LeftArgType LeftArgType;
  type typename (line 369) | typedef typename internal::traits<Derived>::RightArgType RightArgType;
  type typename (line 370) | typedef typename internal::traits<Derived>::OutputKernelType OutputKerne...
  type typename (line 371) | typedef typename internal::traits<Derived>::Device Device;
  type TensorContractionOp (line 373) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 374) | typedef typename internal::remove_const<typename
  type typename (line 375) | typedef typename XprType::Index Index;
  type typename (line 376) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 377) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 378) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 379) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 392) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 399) | typedef typename internal::conditional<
  type typename (line 401) | typedef typename internal::conditional<
  type TensorEvaluator (line 404) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluatorType;
  type TensorEvaluator (line 405) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluatorType;
  type array (line 414) | typedef array<Index, ContractDims> contract_t;
  type array (line 415) | typedef array<Index, LDims
  type array (line 416) | typedef array<Index, RDims
  type DSizes (line 418) | typedef DSizes<Index, NumDims> Dimensions;
  function evalSubExprsIfNeeded (line 605) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 620) | void evalSubExprsIfNeededAsync(
  function EIGEN_DEVICE_FUNC (line 698) | EIGEN_DEVICE_FUNC void evalTo(Scalar* buffer) const {
  function evalGemv (line 728) | void evalGemv(Scalar* buffer) const {
  function evalGemm (line 777) | void evalGemm(Scalar* buffer) const {
  function evalGemmPartialWithoutOutputKernel (line 788) | void evalGemmPartialWithoutOutputKernel(
  function evalGemmPartial (line 797) | void evalGemmPartial(Scalar* buffer, Index k_start, Index k_end, int num...
  function cleanup (line 911) | void cleanup() {
  function CoeffReturnType (line 921) | CoeffReturnType coeff(Index index) const {
  function TensorOpCost (line 925) | TensorOpCost costPerCoeff(bool) const {
  function EIGEN_STRONG_INLINE (line 930) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  type TensorContractionEvaluatorBase (line 972) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 974) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 975) | typedef typename internal::remove_const<typename
  type typename (line 976) | typedef typename XprType::Index Index;
  type typename (line 977) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 978) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 988) | typedef typename internal::conditional<
  type typename (line 990) | typedef typename internal::conditional<
  type array (line 999) | typedef array<Index, ContractDims> contract_t;
  type array (line 1000) | typedef array<Index, LDims
  type array (line 1001) | typedef array<Index, RDims
  type DSizes (line 1006) | typedef DSizes<Index, NumDims> Dimensions;
  function EIGEN_DEVICE_FUNC (line 1008) | EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& devic...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionBlocking.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionGpu.h
  function namespace (line 17) | namespace Eigen {
  function EigenFloatContractionKernelInternal16x16 (line 534) | void
  function EigenFloatContractionKernelInternal (line 774) | void
  type float2 (line 1149) | typedef float2 LHS_MEM[64][32];
  type float2 (line 1150) | typedef float2 RHS_MEM[128][8];
  type TensorEvaluator (line 1224) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1225) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1227) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1228) | typedef typename internal::remove_const<typename
  type typename (line 1229) | typedef typename XprType::Index Index;
  type typename (line 1230) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1231) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 1241) | typedef typename internal::conditional<
  type typename (line 1243) | typedef typename internal::conditional<
  type array (line 1252) | typedef array<Index, LDims> left_dim_mapper_t;
  type array (line 1253) | typedef array<Index, RDims> right_dim_mapper_t;
  type array (line 1255) | typedef array<Index, ContractDims> contract_t;
  type array (line 1256) | typedef array<Index, LDims
  type array (line 1257) | typedef array<Index, RDims
  type DSizes (line 1261) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 1264) | typedef typename internal::remove_const<typename
  type typename (line 1265) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 1267) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluator;
  type TensorEvaluator (line 1268) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluator;
  type typename (line 1270) | typedef typename LeftEvaluator::Dimensions LeftDimensions;
  type typename (line 1271) | typedef typename RightEvaluator::Dimensions RightDimensions;
  function EIGEN_DEVICE_FUNC (line 1273) | EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& devic...
  function evalSubExprsIfNeeded (line 1281) | bool evalSubExprsIfNeeded(Scalar* data) {
  function evalTo (line 1294) | void evalTo(Scalar* buffer) const {
  function Run (line 1334) | static void Run(const LhsMapper& lhs, const RhsMapper& rhs, const Output...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h
  function namespace (line 13) | namespace Eigen {
  function bind (line 100) | void bind(cl::sycl::handler &cgh) const {
  function offsetBuffer (line 132) | void offsetBuffer(typename Tensor::Index offset) {
  function prefetch (line 137) | void prefetch(Index /*i*/) { }
  function Scalar (line 140) | Scalar operator()(Index row) const {
  function Scalar (line 146) | Scalar operator()(Index row, Index col) const {
  function Index (line 151) | Index computeIndex(Index row, Index col) const {
  function Index (line 241) | Index firstAligned(Index size) const {
  function bind (line 253) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_DEVICE_FUNC (line 287) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 366) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_DEVICE_FUNC (line 383) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 392) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_STRONG_INLINE (line 398) | EIGEN_STRONG_INLINE PacketT load(Index i, Index j) const {
  type TensorContractionSubMapper (line 415) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type Self (line 416) | typedef Self LinearMapper;
  function Scalar (line 434) | Scalar operator()(Index i) const {
  function Scalar (line 440) | Scalar operator()(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 448) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i) const {
  function EIGEN_ALWAYS_INLINE (line 456) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 464) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function storePacket (line 472) | void storePacket(Index i, const PacketT& p) const {
  function LinearMapper (line 479) | LinearMapper getLinearMapper(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 487) | EIGEN_ALWAYS_INLINE PacketT load(Index i) const {
  function aligned (line 497) | bool aligned(Index) const {
  function bind (line 503) | void bind(cl::sycl::handler &cgh) const {
  type BaseTensorContractionMapper (line 529) | typedef BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontr...
  type TensorContractionSubMapper (line 530) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type SubMapper (line 531) | typedef SubMapper VectorMapper;
  function EIGEN_DEVICE_FUNC (line 533) | EIGEN_DEVICE_FUNC TensorContractionInputMapper(const Tensor& tensor,
  function SubMapper (line 541) | SubMapper getSubMapper(Index i, Index j) const {
  function VectorMapper (line 545) | VectorMapper getVectorMapper(Index i, Index j) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h
  function namespace (line 22) | namespace Eigen {
  type Eigen (line 1290) | typedef Eigen::SyclDevice Device;
  type TensorEvaluator (line 1292) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1293) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1294) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1295) | typedef typename internal::remove_const<typename
  type typename (line 1296) | typedef typename XprType::Index StorageIndex;
  type typename (line 1297) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1298) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 1299) | typedef typename Base::Storage Storage;
  type typename (line 1300) | typedef typename Base::EvaluatorPointerType EvaluatorPointerType;
  type TripleDim (line 1301) | struct TripleDim {
  function EIGEN_DEVICE_FUNC (line 1343) | EIGEN_DEVICE_FUNC TensorEvaluator(const XprType &op, const Device &devic...
  function evalSubExprsIfNeeded (line 1346) | bool evalSubExprsIfNeeded(typename Base::EvaluatorPointerType data) {
  function evalToSycl (line 1358) | void evalToSycl(typename Base::EvaluatorPointerType buffer) const {
  function triple_dim (line 1392) | const auto triple_dim = TripleDim{this->m_i_size, this->m_j_size, this->...
  function EIGEN_ALWAYS_INLINE (line 1448) | EIGEN_ALWAYS_INLINE adjustTT(EvaluatorPointerType buffer, const LhsMappe...
  type TensorSycl (line 1501) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type TensorSycl (line 1508) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type Eigen (line 1520) | typedef Eigen::internal::SumReducer<CoeffReturnType> Op;
  type TensorSycl (line 1522) | typedef TensorSycl::internal::SecondStepPartialReduction<CoeffReturnType...
  function EIGEN_ALWAYS_INLINE (line 1539) | EIGEN_ALWAYS_INLINE LaunchVT(EvaluatorPointerType buffer, const VectorMa...
  function launchSC (line 1594) | void launchSC(EvaluatorPointerType buffer, const LhsMapper &lhs, const R...
  function cleanup (line 1633) | void cleanup() {
  function bind (line 1643) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
  function namespace (line 16) | namespace Eigen {
  type NoCallback (line 296) | struct NoCallback {
  function Notify (line 312) | void Notify() { done_.Notify(); }
  function Wait (line 313) | void Wait() { done_.Wait(); }
  function Notify (line 325) | void Notify() {
  function Wait (line 338) | void Wait() {}
  type internal (line 359) | typedef internal::TensorContractionInputMapper<
  type internal (line 365) | typedef internal::blas_data_mapper<Scalar, Index, ColMajor> OutputMapper;
  type internal (line 367) | typedef internal::TensorContractionKernel<
  type typename (line 371) | typedef typename TensorContractionKernel::LhsBlock LhsBlock;
  type typename (line 372) | typedef typename TensorContractionKernel::RhsBlock RhsBlock;
  type typename (line 373) | typedef typename TensorContractionKernel::BlockMemHandle BlockMemHandle;
  function Release (line 667) | void Release(EvalParallelContext& ctx) const {
  function BlockMemHandle (line 685) | BlockMemHandle mem_handle_{}
  function reuse (line 744) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function reuse (line 765) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function pack_lhs (line 854) | void pack_lhs(Index m, Index k) {
  function pack_rhs (line 888) | void pack_rhs(Index n, Index k) {
  function kernel (line 935) | void kernel(Index m, Index n, Index k, bool use_thread_local) {
  function signal_packing (line 985) | void signal_packing(Index k) {
  function signal_kernel (line 994) | void signal_kernel(Index m, Index n, Index k, bool sync,
  function enqueue_packing (line 1049) | void enqueue_packing(Index k, bool rhs) {
  function enqueue_packing_helper (line 1053) | void enqueue_packing_helper(Index start, Index end, Index k, bool rhs) {
  function Index (line 1090) | Index bm(Index m) const { return m + 1 < nm0_ ? bm_ : m_ + bm_ - bm_ * n...
  function Index (line 1091) | Index bn(Index n) const { return n + 1 < nn0_ ? bn_ : n_ + bn_ - bn_ * n...
  function Index (line 1092) | Index bk(Index k) const { return k + 1 < nk_ ? bk_ : k_ + bk_ - bk_ * nk...
  function Index (line 1094) | Index gm(Index m) const { return m + 1 < nm_ ? gm_ : nm0_ + gm_ - gm_ * ...
  function Index (line 1095) | Index gn(Index n) const { return n + 1 < nn_ ? gn_ : nn0_ + gn_ - gn_ * ...
  function applyOutputKernel (line 1292) | void applyOutputKernel() const {
  function Index (line 1307) | Index actualRangeSize(Index num_ranges, Index range_size,
  function addToBuffer (line 1316) | static void addToBuffer(size_t n, const Scalar* src_buf,
  function addAllToBuffer (line 1337) | static void addAllToBuffer(size_t n,

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h
  function namespace (line 13) | namespace Eigen {
  function m_impl (line 60) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 63) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 76) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 79) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 96) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 99) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 118) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 121) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  type typename (line 180) | typedef typename internal::traits<TensorConversionOp>::StorageKind Stora...
  type typename (line 181) | typedef typename internal::traits<TensorConversionOp>::Index Index;
  type typename (line 182) | typedef typename internal::nested<TensorConversionOp>::type Nested;
  type Scalar (line 183) | typedef Scalar CoeffReturnType;
  type typename (line 184) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_xpr (line 186) | TensorConversionOp(const XprType& xpr)
  function run (line 198) | bool run(Eval& impl, EvalPointerType) {
  function run (line 214) | void run(
  function namespace (line 231) | namespace internal {
  type typename (line 252) | typedef typename internal::unpacket_traits<SrcPacket>::type SrcType;
  type typename (line 253) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 258) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 273) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 276) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 291) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 301) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 313) | typedef typename XprType::Index Index;
  type typename (line 314) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type TargetType (line 315) | typedef TargetType Scalar;
  type TargetType (line 316) | typedef TargetType CoeffReturnType;
  type typename (line 317) | typedef typename internal::remove_all<typename
  type typename (line 318) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 319) | typedef typename PacketType<SrcType, Device>::type PacketSourceType;
  type StorageMemory (line 322) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 323) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 343) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 344) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 346) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type TensorConversionOpBlockFactory (line 349) | struct TensorConversionOpBlockFactory {
  type internal (line 361) | typedef internal::TensorUnaryExprBlock<TensorConversionOpBlockFactory,
  function evalSubExprsIfNeeded (line 373) | bool evalSubExprsIfNeeded(EvaluatorPointerType data)
  function evalSubExprsIfNeededAsync (line 380) | void evalSubExprsIfNeededAsync(
  function cleanup (line 388) | void cleanup()
  function CoeffReturnType (line 393) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 399) | EIGEN_STRONG_INLINE PacketReturnType
  function TensorOpCost (line 414) | TensorOpCost
  function bind (line 447) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 262) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Scalar Sc...
  type typename (line 263) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 264) | typedef typename internal::promote_storage_type<typename
  type typename (line 266) | typedef typename Eigen::internal::nested<TensorConvolutionOp>::type Nested;
  type typename (line 267) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::StorageKi...
  type typename (line 268) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Index Index;
  type typename (line 299) | typedef typename XprType::Index Index;
  type DSizes (line 300) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 302) | typedef typename XprType::Scalar Scalar;
  type typename (line 303) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 304) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 306) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 307) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 320) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 387) | bool evalSubExprsIfNeeded(Scalar*) {
  function cleanup (line 392) | void cleanup() {
  function evalTo (line 401) | void evalTo(typename XprType::Scalar* buffer) {
  function CoeffReturnType (line 409) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 417) | PacketReturnType packet(const Index index) const
  function TensorOpCost (line 461) | TensorOpCost
  function const (line 568) | int operator() (const int /*kernelSize*/) const {
  function Dynamic (line 573) | struct GetKernelSize<Dynamic> {
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 581) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel1D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 633) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel2D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 704) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel3D(
  type typename (line 782) | typedef typename XprType::Index Index;
  type DSizes (line 783) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 784) | typedef typename TensorEvaluator<KernelArgType, GpuDevice>::Dimensions K...
  type internal (line 797) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 818) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 819) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 820) | typedef typename InputArgType::Scalar Scalar;
  function EIGEN_STRONG_INLINE (line 825) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
  function EIGEN_STRONG_INLINE (line 838) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_STRONG_INLINE (line 851) | EIGEN_STRONG_INLINE void preloadKernel() {
  function ceil (line 871) | static unsigned int ceil(unsigned int num, unsigned int denom) {
  function executeEval (line 879) | void executeEval(Scalar* data) const {
  function CoeffReturnType (line 1078) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 1086) | EIGEN_STRONG_INLINE PacketReturnType packet(const Index index) const
  function TensorOpCost (line 1093) | TensorOpCost

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolutionSycl.h
  function namespace (line 18) | namespace Eigen {
  function num_input (line 132) | const auto num_input = cl::sycl::range<2>{
  function input_offset (line 221) | const auto input_offset = cl::sycl::range<3>{itemID.get_group().get_id()...
  type TensorConvolutionOp (line 276) | typedef TensorConvolutionOp<Indices, InputArgType, KernelArgType> XprType;
  type typename (line 281) | typedef typename XprType::Index Index;
  type DSizes (line 282) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 283) | typedef typename TensorEvaluator<KernelArgType, Eigen::SyclDevice>::Dime...
  type Eigen (line 284) | typedef const Eigen::SyclDevice Device;
  type typename (line 285) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 286) | typedef typename PacketType<CoeffReturnType, Eigen::SyclDevice>::type Pa...
  type typename (line 287) | typedef typename InputArgType::Scalar Scalar;
  type StorageMemory (line 289) | typedef StorageMemory<CoeffReturnType, Eigen::SyclDevice> Storage;
  type typename (line 290) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 291) | typedef StorageMemory<const CoeffReturnType, Eigen::SyclDevice> KernelSt...
  type internal (line 305) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 337) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 351) | void cleanup() {
  function preloadKernel (line 368) | void preloadKernel() {
  function executeEval (line 387) | void executeEval(EvaluatorPointerType data) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
  function namespace (line 13) | namespace Eigen {
  function numThreads (line 174) | int numThreads(
  function taskSize (line 187) | double taskSize(
  function totalCost (line 192) | double totalCost(

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCustomOp.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 57) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 58) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 59) | typedef typename internal::nested<TensorCustomUnaryOp>::type Nested;
  type typename (line 60) | typedef typename internal::traits<TensorCustomUnaryOp>::StorageKind Stor...
  type typename (line 61) | typedef typename internal::traits<TensorCustomUnaryOp>::Index Index;
  type typename (line 84) | typedef typename internal::traits<ArgType>::Index Index;
  type DSizes (line 86) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 87) | typedef typename internal::remove_const<typename
  type typename (line 88) | typedef typename internal::remove_const<typename
  type typename (line 89) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 91) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 92) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 93) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 106) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 117) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 129) | void cleanup() {
  function CoeffReturnType (line 136) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 141) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 145) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 154) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 180) | namespace internal {
  type TensorCustomBinaryOp (line 205) | typedef const TensorCustomBinaryOp<CustomBinaryFunc, LhsXprType, RhsXprT...
  type typename (line 222) | typedef typename internal::traits<TensorCustomBinaryOp>::Scalar Scalar;
  type typename (line 223) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 224) | typedef typename internal::traits<TensorCustomBinaryOp>::CoeffReturnType...
  type typename (line 225) | typedef typename internal::nested<TensorCustomBinaryOp>::type Nested;
  type typename (line 226) | typedef typename internal::traits<TensorCustomBinaryOp>::StorageKind Sto...
  type typename (line 227) | typedef typename internal::traits<TensorCustomBinaryOp>::Index Index;
  type typename (line 256) | typedef typename internal::traits<XprType>::Index Index;
  type DSizes (line 258) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 259) | typedef typename XprType::Scalar Scalar;
  type typename (line 260) | typedef typename internal::remove_const<typename
  type typename (line 261) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 264) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 265) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 266) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 279) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 290) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 302) | void cleanup() {
  function CoeffReturnType (line 309) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 314) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 318) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 327) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceDefault.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
  function namespace (line 18) | namespace Eigen {
  function virtual (line 124) | virtual ~GpuStreamDevice() {
  function virtual (line 134) | virtual void* allocate(size_t num_bytes) const {
  function virtual (line 144) | virtual void deallocate(void* buffer) const {
  function virtual (line 153) | virtual void* scratchpad() const {
  function max_blocks_ (line 178) | struct GpuDevice {
  function EIGEN_STRONG_INLINE (line 192) | EIGEN_STRONG_INLINE void* allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE void deallocate(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 200) | EIGEN_STRONG_INLINE void* allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 204) | EIGEN_STRONG_INLINE void deallocate_temp(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 209) | EIGEN_STRONG_INLINE Type get(Type data) const {
  function EIGEN_STRONG_INLINE (line 213) | EIGEN_STRONG_INLINE void* scratchpad() const {
  function memcpy (line 221) | void memcpy(void* dst, const void* src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 235) | EIGEN_STRONG_INLINE void memcpyHostToDevice(void* dst, const void* src, ...
  function EIGEN_STRONG_INLINE (line 242) | EIGEN_STRONG_INLINE void memcpyDeviceToHost(void* dst, const void* src, ...
  function memset (line 249) | void memset(void* buffer, int c, size_t n) const {
  function EIGEN_DEVICE_FUNC (line 344) | static EIGEN_DEVICE_FUNC inline void setGpuSharedMemConfig(gpuSharedMemC...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
  function namespace (line 19) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 418) | EIGEN_STRONG_INLINE ptrdiff_t get_offset(const void *ptr) const {
  type cl (line 436) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 464) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 490) | typedef cl::sycl::accessor<OutScalar, 1,
  function EIGEN_STRONG_INLINE (line 517) | EIGEN_STRONG_INLINE void async_synchronize(cl::sycl::event e) const {
  function parallel_for_setup (line 525) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 545) | void parallel_for_setup(
  function parallel_for_setup (line 584) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 695) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t wGSize, bool roundUp) co...
  function synchronize_and_callback (line 747) | void synchronize_and_callback(cl::sycl::event e,
  function sycl_async_handler (line 769) | bool sycl_async_handler(cl::sycl::exception_list exceptions) const {
  type SyclDeviceBase (line 811) | struct SyclDeviceBase {
  function SyclDeviceBase (line 824) | struct SyclDevice : public SyclDeviceBase {
  function parallel_for_setup (line 852) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 860) | void parallel_for_setup(
  function parallel_for_setup (line 869) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 876) | EIGEN_STRONG_INLINE void *allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 880) | EIGEN_STRONG_INLINE void *allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 885) | EIGEN_STRONG_INLINE void deallocate(void *p) const {
  function EIGEN_STRONG_INLINE (line 889) | EIGEN_STRONG_INLINE void deallocate_temp(void *buffer) const {
  function deallocate_temp (line 893) | void deallocate_temp(
  function memcpy (line 947) | void memcpy(void *dst, const Index *src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 951) | EIGEN_STRONG_INLINE void memset(void *data, int c, size_t n) const {
  function EIGEN_STRONG_INLINE (line 991) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t val, bool roundUp) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceThreadPool.h
  function namespace (line 13) | namespace Eigen {
  function parallelFor (line 190) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelFor (line 237) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 249) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 298) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function ThreadPoolInterface (line 305) | ThreadPoolInterface* getPool() const { return pool_; }
  function Allocator (line 308) | Allocator* allocator() const { return allocator_; }
  type ParallelForAsyncContext (line 315) | struct ParallelForAsyncContext {
  type ParallelForBlock (line 331) | struct ParallelForBlock {
  function ParallelForBlock (line 341) | ParallelForBlock CalculateParallelForBlock(

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h
  function Index (line 27) | const Index operator[] (const Index i) const { return i; }
  function EIGEN_DEVICE_FUNC (line 50) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 56) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 63) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 69) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 76) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 82) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 89) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 95) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 102) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 108) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 115) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 121) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 128) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 134) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 142) | bool run(const DenseIndex) {
  function run (line 148) | bool run(const DenseIndex) {
  function run (line 155) | bool run() {
  function run (line 161) | bool run() {
  function run (line 168) | bool run() {
  function run (line 174) | bool run() {
  function run (line 181) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 187) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 194) | bool run(const DenseIndex, const DenseIndex){
  function run (line 200) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 207) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 213) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 220) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 226) | bool run(const DenseIndex, const DenseIndex) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h
  function namespace (line 14) | namespace Eigen {
  type tensor_index_linearization_helper (line 249) | struct tensor_index_linearization_helper
  function Index (line 252) | Index run(array<Index, NumIndices> const& indices, array<Index, NumIndic...
  function EIGEN_DEVICE_FUNC (line 275) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DSizes() {
  function EIGEN_DEVICE_FUNC (line 280) | EIGEN_DEVICE_FUNC explicit DSizes(const array<DenseIndex, NumDims>& a) :...
  function EIGEN_DEVICE_FUNC (line 282) | EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0) {
  function EIGEN_DEVICE_FUNC (line 287) | EIGEN_DEVICE_FUNC DSizes(const DimensionList<DenseIndex, NumDims>& a) {
  function DSizes (line 330) | ptrdiff_t V5>
  function EIGEN_STRONG_INLINE (line 340) | EIGEN_STRONG_INLINE explicit DSizes(DenseIndex firstDimension, DenseInde...
  type tensor_vsize_index_linearization_helper (line 413) | struct tensor_vsize_index_linearization_helper
  function Index (line 416) | Index run(array<Index, NumIndices> const& indices, std::vector<DenseInde...
  function namespace (line 424) | namespace internal {
  type array_size (line 433) | struct array_size
  type array_size (line 436) | struct array_size
  function EIGEN_STRONG_INLINE (line 442) | EIGEN_STRONG_INLINE std::ptrdiff_t array_get(const Sizes<>&) {
  type array_size (line 447) | struct array_size
  type array_size (line 450) | struct array_size
  function array_get (line 453) | ptrdiff_t array_get(const Sizes<V1,V2,V3,V4,V5>&) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 72) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 73) | typedef typename internal::remove_const<typename
  type typename (line 74) | typedef typename MakePointer_<CoeffReturnType>::Type PointerType;
  type typename (line 75) | typedef typename Eigen::internal::nested<TensorEvalToOp>::type Nested;
  type typename (line 76) | typedef typename Eigen::internal::traits<TensorEvalToOp>::StorageKind St...
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorEvalToOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 81) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvalToOp(PointerType buffer,...
  type typename (line 101) | typedef typename ArgType::Scalar Scalar;
  type typename (line 102) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 103) | typedef typename XprType::Index Index;
  type typename (line 104) | typedef typename internal::remove_const<typename
  type typename (line 105) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 107) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 108) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 109) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 123) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 124) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 126) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 129) | typedef internal::TensorBlockAssignment<
  function EIGEN_DEVICE_FUNC (line 138) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ~TensorEvaluator() {
  function evalSubExprsIfNeeded (line 144) | bool evalSubExprsIfNeeded(EvaluatorPointerType scalar) {
  function evalSubExprsIfNeededAsync (line 152) | void evalSubExprsIfNeededAsync(
  function evalScalar (line 160) | void evalScalar(Index i) {
  function evalPacket (line 163) | void evalPacket(Index i) {
  function evalBlock (line 172) | void evalBlock(
  function cleanup (line 194) | void cleanup() {
  function CoeffReturnType (line 198) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 204) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 209) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 220) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
  function namespace (line 13) | namespace Eigen {
  function writeBlock (line 165) | void writeBlock(
  function bind (line 185) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_ALWAYS_INLINE (line 196) | EIGEN_ALWAYS_INLINE
  function loadConstant (line 203) | float loadConstant(const float* address) {
  function loadConstant (line 207) | double loadConstant(const double* address) {
  function half (line 211) | half loadConstant(const Eigen::half* address) {
  type typename (line 230) | typedef typename Derived::Scalar Scalar;
  type typename (line 231) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 232) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 233) | typedef typename Derived::Dimensions Dimensions;
  type Derived (line 234) | typedef const Derived XprType;
  type typename (line 235) | typedef typename internal::traits<Derived>::template MakePointer<const S...
  type StorageMemory (line 236) | typedef StorageMemory<const Scalar, Device> Storage;
  type typename (line 237) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 239) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 257) | typedef internal::TensorBlockDescriptor<NumCoords, Index> TensorBlockDesc;
  type internal (line 258) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 260) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumCoo...
  function evalSubExprsIfNeeded (line 271) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 281) | void evalSubExprsIfNeededAsync(
  function cleanup (line 288) | void cleanup() { }
  function CoeffReturnType (line 290) | CoeffReturnType coeff(Index index) const {
  function EIGEN_STRONG_INLINE (line 295) | EIGEN_STRONG_INLINE
  function CoeffReturnType (line 313) | CoeffReturnType coeff(const array<DenseIndex, NumCoords>& coords) const {
  function TensorOpCost (line 320) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 340) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 366) | typedef typename XprType::Scalar Scalar;
  type typename (line 367) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 368) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 370) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 371) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 372) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 389) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 394) | bool evalSubExprsIfNeeded(EvaluatorPointerType) { return true; }
  function evalSubExprsIfNeededAsync (line 398) | void evalSubExprsIfNeededAsync(
  function cleanup (line 404) | void cleanup() { }
  function EIGEN_DEVICE_FUNC (line 406) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 412) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 417) | TensorOpCost
  function bind (line 427) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 465) | typedef typename XprType::Scalar Scalar;
  type typename (line 466) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type typename (line 467) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 468) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 470) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 471) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 472) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 476) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 477) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 479) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 482) | typedef internal::TensorCwiseUnaryBlock<UnaryOp, ArgTensorBlock>
  function evalSubExprsIfNeeded (line 488) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 495) | void evalSubExprsIfNeededAsync(
  function cleanup (line 501) | void cleanup() {
  function EIGEN_DEVICE_FUNC (line 505) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 511) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 516) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 539) | void bind(cl::sycl::handler &cgh) const{
  type typename (line 584) | typedef typename XprType::Index Index;
  type typename (line 585) | typedef typename XprType::Scalar Scalar;
  type typename (line 586) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 587) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 589) | typedef typename TensorEvaluator<LeftArgType, Device>::Dimensions Dimens...
  type StorageMemory (line 590) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 591) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 597) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 598) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 600) | typedef typename TensorEvaluator<const LeftArgType, Device>::TensorBlock
  type typename (line 602) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  type internal (line 605) | typedef internal::TensorCwiseBinaryBlock<BinaryOp, LeftTensorBlock,
  function evalSubExprsIfNeeded (line 616) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 624) | void evalSubExprsIfNeededAsync(
  function cleanup (line 634) | void cleanup() {
  function EIGEN_DEVICE_FUNC (line 639) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 644) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 649) | TensorOpCost
  function bind (line 678) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 736) | typedef typename XprType::Index Index;
  type typename (line 737) | typedef typename XprType::Scalar Scalar;
  type typename (line 738) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 739) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 741) | typedef typename TensorEvaluator<Arg1Type, Device>::Dimensions Dimensions;
  type StorageMemory (line 742) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 743) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 746) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 755) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function cleanup (line 761) | void cleanup() {
  function EIGEN_DEVICE_FUNC (line 767) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 772) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 779) | TensorOpCost
  function bind (line 792) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 813) | typedef typename XprType::Scalar Scalar;
  type typename (line 843) | typedef typename XprType::Index Index;
  type typename (line 844) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 845) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 847) | typedef typename TensorEvaluator<IfArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 848) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 849) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 854) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 855) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 857) | typedef typename TensorEvaluator<const IfArgType, Device>::TensorBlock
  type typename (line 859) | typedef typename TensorEvaluator<const ThenArgType, Device>::TensorBlock
  type typename (line 861) | typedef typename TensorEvaluator<const ElseArgType, Device>::TensorBlock
  type TensorSelectOpBlockFactory (line 864) | struct TensorSelectOpBlockFactory {
  type internal (line 877) | typedef internal::TensorTernaryExprBlock<TensorSelectOpBlockFactory,
  function evalSubExprsIfNeeded (line 889) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 898) | void evalSubExprsIfNeededAsync(
  function cleanup (line 908) | void cleanup() {
  function EIGEN_DEVICE_FUNC (line 914) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 919) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 932) | TensorOpCost
  function bind (line 969) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h
  function namespace (line 13) | namespace Eigen {
  function run (line 96) | void run(const Expression& expr,
  type typename (line 168) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 170) | typedef TensorEvaluator<Expression, DefaultDevice> Evaluator;
  type typename (line 171) | typedef typename traits<Expression>::Index StorageIndex;
  function run (line 176) | void run(const Expression& expr,
  function run (line 271) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 280) | static StorageIndex alignBlockSize(StorageIndex size) { return size; }
  function run (line 288) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 314) | static StorageIndex alignBlockSize(StorageIndex size) {
  type typename (line 327) | typedef typename Expression::Index StorageIndex;
  function EIGEN_STRONG_INLINE (line 329) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type typename (line 353) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 354) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 358) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 359) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 360) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 362) | typedef internal::TensorBlockDescriptor<NumDims, IndexType>
  type internal (line 364) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 367) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type TensorEvaluator (line 409) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  function EIGEN_STRONG_INLINE (line 411) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type EvalRange (line 423) | typedef EvalRange<Evaluator, StorageIndex, Vectorizable> EvalRange;
  type TensorAsyncExecutorContext (line 438) | struct TensorAsyncExecutorContext {
  type typename (line 461) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 462) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 466) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 467) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 468) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 470) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  type internal (line 471) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 474) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type TensorAsyncExecutorContext (line 519) | struct TensorAsyncExecutorContext {
  type typename (line 549) | typedef typename Expression::Index StorageIndex;
  function run (line 557) | void run(Evaluator& eval, StorageIndex firstIdx, StorageIndex lastIdx, S...
  type typename (line 625) | typedef typename Evaluator::Index Index;
  function EIGEN_ALWAYS_INLINE (line 629) | EIGEN_ALWAYS_INLINE ExecExprFunctorKernel(
  function EIGEN_STRONG_INLINE (line 669) | static EIGEN_STRONG_INLINE void run(const Expression& expr,

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 56) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 57) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type TensorCwiseNullaryOp (line 58) | typedef TensorCwiseNullaryOp<NullaryOp, XprType> Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::StorageK...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::Index In...
  function namespace (line 79) | namespace internal {
  type typename (line 121) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 122) | typedef Scalar CoeffReturnType;
  type typename (line 123) | typedef typename Eigen::internal::nested<TensorCwiseUnaryOp>::type Nested;
  type typename (line 124) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::StorageKin...
  type typename (line 125) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::Index Index;
  function namespace (line 144) | namespace internal {
  type typename (line 201) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Scalar Sc...
  type typename (line 202) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 203) | typedef Scalar CoeffReturnType;
  type typename (line 204) | typedef typename Eigen::internal::nested<TensorCwiseBinaryOp>::type Nested;
  type typename (line 205) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::StorageKi...
  type typename (line 206) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Index Index;
  function namespace (line 230) | namespace internal {
  type TensorCwiseTernaryOp (line 264) | typedef const TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, ...
  type typename (line 281) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Scalar S...
  type typename (line 282) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 283) | typedef Scalar CoeffReturnType;
  type typename (line 284) | typedef typename Eigen::internal::nested<TensorCwiseTernaryOp>::type Nes...
  type typename (line 285) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::StorageK...
  type typename (line 286) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Index In...
  function namespace (line 315) | namespace internal {
  type TensorSelectOp (line 339) | typedef const TensorSelectOp<IfXprType, ThenXprType, ElseXprType>& type;
  type typename (line 355) | typedef typename Eigen::internal::traits<TensorSelectOp>::Scalar Scalar;
  type typename (line 356) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 357) | typedef typename internal::promote_storage_type<typename
  type typename (line 359) | typedef typename Eigen::internal::nested<TensorSelectOp>::type Nested;
  type typename (line 360) | typedef typename Eigen::internal::traits<TensorSelectOp>::StorageKind St...
  type typename (line 361) | typedef typename Eigen::internal::traits<TensorSelectOp>::Index Index;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 88) | typedef typename Eigen::internal::traits<TensorFFTOp>::Scalar Scalar;
  type typename (line 89) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 90) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 91) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 92) | typedef OutputScalar CoeffReturnType;
  type typename (line 93) | typedef typename Eigen::internal::nested<TensorFFTOp>::type Nested;
  type typename (line 94) | typedef typename Eigen::internal::traits<TensorFFTOp>::StorageKind Stora...
  type typename (line 95) | typedef typename Eigen::internal::traits<TensorFFTOp>::Index Index;
  type typename (line 117) | typedef typename XprType::Index Index;
  type DSizes (line 119) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 120) | typedef typename XprType::Scalar Scalar;
  type typename (line 121) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 122) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 123) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type internal (line 124) | typedef internal::traits<XprType> XprTraits;
  type typename (line 125) | typedef typename XprTraits::Scalar InputScalar;
  type typename (line 126) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 127) | typedef OutputScalar CoeffReturnType;
  type typename (line 128) | typedef typename PacketType<OutputScalar, Device>::type PacketReturnType;
  type StorageMemory (line 130) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 131) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 144) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 172) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 184) | void cleanup() {
  function CoeffReturnType (line 192) | CoeffReturnType coeff(Index index) const {
  function EIGEN_ALWAYS_INLINE (line 197) | EIGEN_ALWAYS_INLINE PacketReturnType
  function TensorOpCost (line 202) | TensorOpCost
  function bind (line 210) | void bind(cl::sycl::handler &cgh) const {
  function evalToBuf (line 216) | void evalToBuf(EvaluatorPointerType data) {
  function isPowerOfTwo (line 320) | static bool isPowerOfTwo(Index x) {
  function Index (line 326) | static Index findGoodComposite(Index n) {
  function Index (line 332) | static Index getLog2(Index m) {
  function processDataLineCooleyTukey (line 339) | void processDataLineCooleyTukey(ComplexScalar* line_buf, Index line_len,...
  function processDataLineBluestein (line 346) | void processDataLineBluestein(ComplexScalar* line_buf, Index line_len, I...
  function scramble_FFT (line 411) | static void scramble_FFT(ComplexScalar* data, Index n) {
  function butterfly_2 (line 428) | void butterfly_2(ComplexScalar* data) {
  function butterfly_4 (line 435) | void butterfly_4(ComplexScalar* data) {
  function butterfly_8 (line 452) | void butterfly_8(ComplexScalar* data) {
  function butterfly_1D_merge (line 499) | void butterfly_1D_merge(
  function compute_1D_Butterfly (line 538) | void compute_1D_Butterfly(
  function Index (line 554) | Index getBaseOffsetFromIndex(Index index, Index omitted_dim) const {
  function Index (line 579) | Index getIndexFromOffset(Index base, Index omitted_dim, Index offset) co...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
  function namespace (line 13) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 77) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, IndexTypes... ...
  function Scalar (line 86) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 93) | const Scalar& coeff(Index index) const
  function Scalar (line 100) | const Scalar& coeff() const
  function EIGEN_STRONG_INLINE (line 140) | EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, IndexType...
  function Scalar (line 148) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 159) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 170) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 181) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 195) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 202) | const Scalar& operator()(Index index) const
  function Scalar (line 209) | const Scalar& operator()() const
  function m_storage (line 314) | TensorFixedSize(const Self& other)
  type TensorAssignOp (line 338) | typedef TensorAssignOp<TensorFixedSize, const
  function EIGEN_STRONG_INLINE (line 350) | EIGEN_STRONG_INLINE bool checkIndexRange(const array<Index, NumIndices>&...
  function Index (line 366) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 63) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 64) | typedef typename internal::remove_const<typename
  type typename (line 65) | typedef typename Eigen::internal::nested<TensorForcedEvalOp>::type Nested;
  type typename (line 66) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::StorageKin...
  type typename (line 67) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::Index Index;
  function m_xpr (line 69) | TensorForcedEvalOp(const XprType& expr)
  function namespace (line 80) | namespace internal {
  type typename (line 106) | typedef const typename internal::remove_all<ArgType_>::type ArgType;
  type TensorForcedEvalOp (line 107) | typedef TensorForcedEvalOp<ArgType> XprType;
  type typename (line 108) | typedef typename ArgType::Scalar Scalar;
  type typename (line 109) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 110) | typedef typename XprType::Index Index;
  type typename (line 111) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 112) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 114) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 115) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 116) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 130) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 131) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 133) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 148) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 168) | void evalSubExprsIfNeededAsync(
  function cleanup (line 188) | void cleanup() {
  function CoeffReturnType (line 193) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 199) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 216) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 225) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
  function namespace (line 13) | namespace Eigen {
  type NoOpOutputKernel (line 100) | struct NoOpOutputKernel
  type DefaultDevice (line 102) | struct DefaultDevice
  type ThreadPoolDevice (line 103) | struct ThreadPoolDevice
  type GpuDevice (line 104) | struct GpuDevice
  type SyclDevice (line 105) | struct SyclDevice
  type Eigen (line 110) | typedef Eigen::TensorSycl::internal::RangeAccess<cl::sycl::access::mode:...
  function namespace (line 124) | namespace TensorSycl {
  type FFTResultType (line 132) | enum FFTResultType {
  type FFTDirection (line 138) | enum FFTDirection {
  function namespace (line 144) | namespace internal {
  type TiledEvaluation (line 158) | enum TiledEvaluation {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
  function namespace (line 13) | namespace Eigen {
  function T (line 171) | T bottom_value() {
  function EIGEN_STRONG_INLINE (line 177) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 183) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 189) | static EIGEN_STRONG_INLINE T bottom_value() {
  function reduce (line 197) | void reduce(const T t, T* accum) const {
  function reducePacket (line 202) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 213) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 217) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 221) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 239) | void reduce(const T t, T* accum) const {
  function reducePacket (line 244) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 255) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 259) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 263) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 281) | void reduce(const T t, T* accum) const {
  function reducePacket (line 286) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 297) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 301) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 305) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  type AndReducer (line 322) | struct AndReducer
  function finalize (line 330) | bool finalize(bool accum) const {
  type OrReducer (line 346) | struct OrReducer {
  function finalize (line 353) | bool finalize(bool accum) const {
  function reduce (line 372) | void reduce(const T t, T* accum) const {
  function T (line 378) | T finalize(const T& accum) const {
  function reduce (line 396) | void reduce(const T& t, T* accum) const {
  function T (line 402) | T finalize(const T& accum) const {
  function EIGEN_DEVICE_FUNC (line 423) | EIGEN_DEVICE_FUNC GaussianGenerator(const array<T, NumDims>& means,
  function EIGEN_DEVICE_FUNC (line 433) | EIGEN_DEVICE_FUNC T operator()(const array<Index, NumDims>& coordinates)...
  function EIGEN_DEVICE_FUNC (line 460) | EIGEN_DEVICE_FUNC inline scalar_clamp_op(const Scalar& _min, const Scala...
  function Scalar (line 461) | const Scalar
  function Packet (line 466) | const Packet

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorGeneratorOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::Index Index;
  type typename (line 85) | typedef typename XprType::Index Index;
  type typename (line 86) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 88) | typedef typename XprType::Scalar Scalar;
  type typename (line 89) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 90) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 91) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 92) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 103) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 106) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 107) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 109) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function evalSubExprsIfNeeded (line 139) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 142) | void cleanup() {
  function CoeffReturnType (line 145) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 153) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type BlockIteratorState (line 175) | struct BlockIteratorState {
  function TensorOpCost (line 258) | TensorOpCost
  function bind (line 270) | void bind(cl::sycl::handler&) const {}
  function extract_coordinates (line 275) | void extract_coordinates(Index index, array<Index, NumDims>& coords) con...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
  function namespace (line 13) | namespace Eigen {
  type TensorEvaluator (line 60) | typedef TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice...
  type typename (line 61) | typedef typename Evaluator::Dimensions Dimensions;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 59) | typedef typename Self::Index Index;
  type typename (line 60) | typedef typename Self::Scalar Scalar;
  type typename (line 61) | typedef typename Self::Impl Impl;
  function Run (line 62) | void Run(
  type typename (line 74) | typedef typename Self::Index Index;
  type typename (line 75) | typedef typename Self::Scalar Scalar;
  type typename (line 76) | typedef typename Self::Impl Impl;
  type typename (line 77) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 78) | void Run(
  type typename (line 97) | typedef typename Self::Index Index;
  type typename (line 98) | typedef typename Self::Scalar Scalar;
  type typename (line 99) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 100) | void Run(
  type typename (line 123) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Scalar Sca...
  type typename (line 124) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 125) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 126) | typedef typename Eigen::internal::nested<TensorImagePatchOp>::type Nested;
  type typename (line 127) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::StorageKin...
  type typename (line 128) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Index Index;
  type typename (line 217) | typedef typename XprType::Index Index;
  type DSizes (line 220) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 221) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 222) | typedef TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>,
  type TensorEvaluator (line 224) | typedef TensorEvaluator<ArgType, Device> Impl;
  type typename (line 225) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 226) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 228) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 229) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 242) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 392) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function evalSubExprsIfNeededAsync (line 399) | void evalSubExprsIfNeededAsync(
  function cleanup (line 405) | void cleanup() {
  function CoeffReturnType (line 409) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 448) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function bind (line 512) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 528) | TensorOpCost

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIndexList.h
  function namespace (line 18) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 150) | EIGEN_DEVICE_FUNC constexpr IndexTuple(const T& v, const O... o) : head(...
  type T (line 155) | typedef T Head;
  type IndexTuple (line 156) | typedef IndexTuple<O...> Other;
  function EIGEN_DEVICE_FUNC (line 161) | EIGEN_DEVICE_FUNC constexpr IndexTuple() : head() { }
  function EIGEN_DEVICE_FUNC (line 200) | EIGEN_DEVICE_FUNC static constexpr const ValType& get_val(const IndexTup...
  function set_val (line 204) | static void set_val(IndexTuple<T, O...>& val, V& new_val) {
  function ValueT (line 234) | static constexpr ValueT get(const Index i, const IndexTuple<T...>& t) {
  function set (line 239) | static void set(const Index i, IndexTuple<T...>& t, const ValueT& value) {
  function value_known_statically (line 248) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 254) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 260) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function ValueT (line 271) | static constexpr ValueT get(const Index /*i*/, const IndexTuple<T...>& t) {
  function set (line 276) | static void set(const Index i, IndexTuple<T...>& t, const ValueT value) {
  function value_known_statically (line 281) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 286) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 291) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function Index (line 301) | constexpr Index operator[] (const Index i) const {
  function Index (line 304) | constexpr Index get(const Index i) const {
  function set (line 307) | void set(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 311) | EIGEN_DEVICE_FUNC constexpr IndexList(const internal::IndexTuple<FirstTy...
  function EIGEN_DEVICE_FUNC (line 318) | EIGEN_DEVICE_FUNC constexpr bool all_values_known_statically() const {
  function IndexPair (line 347) | constexpr IndexPair<Index> operator[] (const Index i) const {
  function set (line 350) | void set(const Index i, const IndexPair<Index> value) {
  function EIGEN_DEVICE_FUNC (line 354) | EIGEN_DEVICE_FUNC  constexpr IndexPairList(const internal::IndexTuple<Fi...
  function EIGEN_DEVICE_FUNC (line 355) | EIGEN_DEVICE_FUNC  constexpr IndexPairList() : internal::IndexTuple<Firs...
  function Index (line 388) | constexpr Index array_get(IndexList<FirstType, OtherTypes...>& a) {
  function Index (line 391) | constexpr Index array_get(const IndexList<FirstType, OtherTypes...>& a) {
  function EIGEN_DEVICE_FUNC (line 397) | EIGEN_DEVICE_FUNC static constexpr bool run(const Index) {
  function run (line 404) | static constexpr bool run(const Index i) {
  function run (line 411) | static constexpr bool run(const Index i) {
  function run (line 419) | static constexpr bool run() {
  function run (line 426) | static constexpr bool run() {
  function run (line 433) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 441) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 448) | static constexpr bool run() {
  function run (line 455) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 463) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 470) | static constexpr bool run(const Index i, const Index value) {
  function run (line 478) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 487) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 494) | static constexpr bool run(const Index i, const Index value) {
  function run (line 502) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 511) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 518) | static constexpr bool run(const Index i, const Index value) {
  function run (line 526) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 536) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 543) | static constexpr bool run(const Index i, const Index value) {
  function run (line 551) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 561) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 568) | static constexpr bool run(const Index i, const Index value) {
  function run (line 576) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 586) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 593) | static constexpr bool run(const Index i, const Index value) {
  function run (line 601) | static constexpr bool run(const Index i, const Index value) {
  function namespace (line 613) | namespace Eigen {
  function namespace (line 687) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInflation.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 56) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 57) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 58) | typedef typename Eigen::internal::nested<TensorInflationOp>::type Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorInflationOp>::StorageKind...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorInflationOp>::Index Index;
  type typename (line 82) | typedef typename XprType::Index Index;
  type DSizes (line 84) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 85) | typedef typename XprType::Scalar Scalar;
  type typename (line 86) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 87) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 89) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 90) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 103) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 140) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 144) | void cleanup() {
  function getInputIndex (line 150) | bool getInputIndex(Index index, Index* inputIndex) const
  function CoeffReturnType (line 187) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 200) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 214) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInitializer.h
  type std (line 28) | typedef std::initializer_list<
  function run (line 31) | static void run(TensorEvaluator<Derived, DefaultDevice>& tensor,

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIntDiv.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorLayoutSwap.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 73) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Scalar Sca...
  type typename (line 74) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 75) | typedef typename internal::remove_const<typename
  type typename (line 76) | typedef typename Eigen::internal::nested<TensorLayoutSwapOp>::type Nested;
  type typename (line 77) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::StorageKin...
  type typename (line 78) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Index Index;
  function m_xpr (line 80) | TensorLayoutSwapOp(const XprType& expr)
  type typename (line 98) | typedef typename XprType::Index Index;
  type DSizes (line 100) | typedef DSizes<Index, NumDims> Dimensions;
  type internal (line 113) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function bind (line 126) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 131) | typedef typename XprType::Scalar Scalar;
  type typename (line 132) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 133) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 134) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 135) | typedef typename Storage::Type EvaluatorPointerType;
  function evalSubExprsIfNeeded (line 139) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 142) | void cleanup() {
  function CoeffReturnType (line 146) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 152) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 157) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorLayoutSwapOp (line 179) | typedef TensorLayoutSwapOp<ArgType> XprType;
  type internal (line 191) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 198) | typedef typename XprType::Index Index;
  type typename (line 199) | typedef typename XprType::Scalar Scalar;
  type typename (line 200) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 201) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 208) | void writePacket(Index index, const PacketReturnType& x)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h
  type max_n_1 (line 43) | struct max_n_1
  type typename (line 51) | typedef typename internal::packet_traits<Scalar>::type type;
  type ulonglong2 (line 57) | typedef ulonglong2 Packet4h2;
  type PacketType (line 59) | struct PacketType
  type Packet4h2 (line 60) | typedef Packet4h2 type;
  function namespace (line 91) | namespace TensorSycl {
  type OutScalar (line 122) | typedef OutScalar PacketReturnType;
  type typename (line 128) | typedef typename Eigen::PacketType<OutScalar, Device>::type PacketReturn...
  function Index (line 131) | Index roundUp(Index x, Index y) {
  type PacketType (line 139) | struct PacketType
  type half (line 140) | typedef half type;
  type Scalar (line 159) | typedef Scalar type;
  type Scalar (line 160) | typedef Scalar half;
  type PacketType (line 205) | struct PacketType
  type PacketType (line 206) | struct PacketType
  type U (line 216) | typedef U first_type;
  type V (line 217) | typedef V second_type;
  function EIGEN_STRONG_INLINE (line 219) | EIGEN_STRONG_INLINE

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename internal::remove_const<typename
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorReshapingOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorReshapingOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Index Index;
  type NewDimensions (line 87) | typedef NewDimensions Dimensions;
  type typename (line 89) | typedef typename XprType::Index Index;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 93) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 94) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 95) | typedef StorageMemory<typename
  type ReshapingKind (line 100) | enum ReshapingKind {
  type typename (line 133) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 136) | typedef internal::TensorBlockDescriptor<NumOutputDims, Index> TensorBloc...
  type internal (line 137) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 139) | typedef
  function evalSubExprsIfNeededAsync (line 157) | void evalSubExprsIfNeededAsync(
  function evalSubExprsIfNeeded (line 163) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 166) | void cleanup() {
  function CoeffReturnType (line 170) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 176) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 181) | TensorOpCost costPerCoeff(bool vectorized) const {
  type BlockIteratorState (line 192) | struct BlockIteratorState {
  function bind (line 228) | void bind(cl::sycl::handler &cgh) const {
  type TensorReshapingOp (line 245) | typedef TensorReshapingOp<NewDimensions, ArgType> XprType;
  type NewDimensions (line 246) | typedef NewDimensions Dimensions;
  type typename (line 262) | typedef typename XprType::Index Index;
  type typename (line 263) | typedef typename XprType::Scalar Scalar;
  type typename (line 264) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 265) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 268) | typedef internal::TensorBlockDescriptor<TensorEvaluator::NumOutputDims, ...
  function writePacket (line 278) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 284) | void writeBlock(
  function namespace (line 309) | namespace internal {
  type TensorSlicingOp (line 327) | typedef const TensorSlicingOp<StartIndices, Sizes, XprType>EIGEN_DEVICE_...
  type typename (line 345) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Scalar Scalar;
  type typename (line 346) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 347) | typedef typename Eigen::internal::nested<TensorSlicingOp>::type Nested;
  type typename (line 348) | typedef typename Eigen::internal::traits<TensorSlicingOp>::StorageKind S...
  type typename (line 349) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 375) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const Device& device) : thresh...
  function EIGEN_DEVICE_FUNC (line 376) | EIGEN_DEVICE_FUNC bool operator ()(Index total, Index contiguous) const {
  function EIGEN_DEVICE_FUNC (line 398) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const SyclDevice&) { }
  function EIGEN_DEVICE_FUNC (line 399) | EIGEN_DEVICE_FUNC bool operator ()(Index, Index contiguous) const { retu...
  type typename (line 412) | typedef typename XprType::Index Index;
  type typename (line 413) | typedef typename XprType::Scalar Scalar;
  type typename (line 414) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 415) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 416) | typedef Sizes Dimensions;
  type StorageMemory (line 417) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type StorageMemory (line 418) | typedef StorageMemory<typename
  type typename (line 419) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 435) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 438) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 439) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 442) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  function evalSubExprsIfNeeded (line 501) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 537) | void evalSubExprsIfNeededAsync(
  function cleanup (line 543) | void cleanup() {
  function CoeffReturnType (line 547) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 557) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 611) | TensorOpCost costPerCoeff(bool vectorized) const {
  function typename (line 632) | typename Storage::Type data() const {
  function bind (line 669) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 675) | Index srcCoeff(Index index) const
  type TensorSlicingOp (line 715) | typedef TensorSlicingOp<StartIndices, Sizes, ArgType> XprType;
  type typename (line 718) | typedef typename XprType::Index Index;
  type typename (line 719) | typedef typename XprType::Scalar Scalar;
  type typename (line 720) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 721) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 722) | typedef Sizes Dimensions;
  type typename (line 734) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 737) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 738) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  function writePacket (line 755) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 806) | void writeBlock(
  function namespace (line 813) | namespace internal {
  type TensorStridingSlicingOp (line 831) | typedef const TensorStridingSlicingOp<StartIndices, StopIndices, Strides...
  type typename (line 848) | typedef typename internal::traits<TensorStridingSlicingOp>::Scalar Scalar;
  type typename (line 849) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 850) | typedef typename internal::nested<TensorStridingSlicingOp>::type Nested;
  type typename (line 851) | typedef typename internal::traits<TensorStridingSlicingOp>::StorageKind ...
  type typename (line 852) | typedef typename internal::traits<TensorStridingSlicingOp>::Index Index;
  type typename (line 886) | typedef typename XprType::Index Index;
  type typename (line 887) | typedef typename XprType::Scalar Scalar;
  type typename (line 888) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 889) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 890) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 891) | typedef typename Storage::Type EvaluatorPointerType;
  type Strides (line 892) | typedef Strides Dimensions;
  type internal (line 906) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 933) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  function evalSubExprsIfNeeded (line 995) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function cleanup (line 1000) | void cleanup() {
  function CoeffReturnType (line 1004) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 1013) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 1022) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 1027) | Index srcCoeff(Index index) const
  function Index (line 1048) | Index clamp(Index value, Index min, Index max) {
  type TensorStridingSlicingOp (line 1074) | typedef TensorStridingSlicingOp<StartIndices, StopIndices, Strides, ArgT...
  type internal (line 1088) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 1095) | typedef typename XprType::Index Index;
  type typename (line 1096) | typedef typename XprType::Scalar Scalar;
  type typename (line 1097) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1098) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Strides (line 1099) | typedef Strides Dimensions;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorPaddingOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorPaddingOp>::StorageKind S...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorPaddingOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 90) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 91) | typedef typename XprType::Scalar Scalar;
  type typename (line 92) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 93) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 95) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 96) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 108) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 111) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 112) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 114) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function evalSubExprsIfNeeded (line 154) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 161) | void evalSubExprsIfNeededAsync(
  function cleanup (line 167) | void cleanup() {
  function CoeffReturnType (line 171) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 208) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 216) | TensorOpCost costPerCoeff(bool vectorized) const {
  type internal (line 355) | typedef internal::StridedLinearBufferCopy<ScalarNoConst, Index> LinCopy;
  function bind (line 488) | void bind(cl::sycl::handler &cgh) const {
  type BlockIteratorState (line 494) | struct BlockIteratorState {
  function PacketReturnType (line 681) | PacketReturnType packetWithPossibleZero(Index index) const

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorPatchOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorPatchOp>::StorageKind Sto...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorPatchOp>::Index Index;
  type typename (line 85) | typedef typename XprType::Index Index;
  type DSizes (line 87) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 88) | typedef typename XprType::Scalar Scalar;
  type typename (line 89) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 90) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 92) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 93) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 107) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 155) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 160) | void cleanup() {
  function CoeffReturnType (line 164) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 262) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 244) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 303) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 316) | EIGEN_STRONG_INLINE

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
  function namespace (line 25) | namespace Eigen {
  function run (line 71) | static void run(const InputDims& input_dims,
  function Sizes (line 89) | struct DimInitializer<Sizes<> > {
  function reduce (line 144) | void reduce(const Self& self, typename Self::Index firstIndex, Op& reduc...
  function EIGEN_STRONG_INLINE (line 154) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 163) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index i...
  function typename (line 172) | typename Self::CoeffReturnType reduce(const Self& self, typename Self::I...
  function reduce (line 277) | void reduce(const Self&, typename Self::Index, Op&, typename Self::Packe...
  function EIGEN_STRONG_INLINE (line 295) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 304) | EIGEN_STRONG_INLINE void reduce(const Self&, typename Self::Index, Op&, ...
  function EIGEN_DEVICE_FUNC (line 314) | static EIGEN_DEVICE_FUNC void run(const Self& self, Op& reducer, const D...
  function run (line 326) | void run(const Self& self, typename Self::Index firstIndex,
  function run (line 342) | static void run(const Self& self, Op& reducer, const ThreadPoolDevice& d...
  function EIGEN_DEVICE_FUNC (line 398) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 409) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 421) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  type typename (line 461) | typedef typename remove_const<decltype(std::declval<Op>().initialize())>...
  type typename (line 463) | typedef typename remove_const<CoeffReturnType>::type type;
  type typename (line 473) | typedef typename Eigen::internal::traits<TensorReductionOp>::Scalar Scalar;
  type typename (line 474) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 475) | typedef typename internal::remove_const<typename
  type typename (line 476) | typedef typename Eigen::internal::nested<TensorReductionOp>::type Nested;
  type typename (line 477) | typedef typename Eigen::internal::traits<TensorReductionOp>::StorageKind...
  type typename (line 478) | typedef typename Eigen::internal::traits<TensorReductionOp>::Index Index;
  type Dims (line 508) | typedef Dims ReducedDims;
  type TensorReductionOp (line 509) | typedef TensorReductionOp<Op, Dims, ArgType, MakePointer_> XprType;
  type typename (line 510) | typedef typename XprType::Index Index;
  type ArgType (line 511) | typedef ArgType ChildType;
  type typename (line 512) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 517) | typedef typename XprType::Scalar Scalar;
  type TensorReductionEvaluatorBase (line 518) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  type typename (line 520) | typedef typename internal::ReductionReturnType<Op, typename
  type typename (line 521) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 524) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 525) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 526) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 542) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 545) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeededCommon (line 641) | bool evalSubExprsIfNeededCommon(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 752) | void
  function evalSubExprsIfNeeded (line 769) | bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function cleanup (line 774) | void cleanup() {
  function CoeffReturnType (line 782) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 802) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 845) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 861) | void bind(cl::sycl::handler &cgh) const {
  type internal (line 868) | struct internal
  type internal (line 869) | struct internal
  type internal (line 870) | struct internal
  type internal (line 871) | struct internal
  type internal (line 873) | struct internal
  type internal (line 890) | struct internal
  type internal (line 894) | struct internal
  type BlockIteratorState (line 896) | struct BlockIteratorState {
  function Index (line 904) | Index firstInput(Index index) const {
  function EIGEN_DEVICE_FUNC (line 990) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const typename Bas...
  type TensorReductionEvaluatorBase (line 998) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  function EIGEN_DEVICE_FUNC (line 999) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const typename Bas...
  function typename (line 1002) | typename Base::CoeffReturnType coeff(typename Base::Index index) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h
  function namespace (line 30) | namespace Eigen {
  type typename (line 120) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 121) | typedef OpDefiner<OpType, typename
  type typename (line 125) | typedef typename OpDef::type Op;
  type typename (line 126) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 127) | typedef typename Evaluator::PacketReturnType PacketReturnType;
  type typename (line 128) | typedef
  type cl (line 131) | typedef cl::sycl::accessor<OutType, 1, cl::sycl::access::mode::read_writ...
  type typename (line 217) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 218) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 219) | typedef OpDefiner<OpType, CoeffReturnType, Index, false> OpDef;
  type typename (line 220) | typedef typename OpDef::type Op;
  function reduction_dim (line 250) | enum class reduction_dim { inner_most, outer_most };
  type typename (line 363) | typedef typename OpDef::type Op;
  type cl (line 364) | typedef cl::sycl::accessor<OutScalar, 1, cl::sycl::access::mode::read_wr...
  type SecondStepPartialReduction (line 455) | typedef SecondStepPartialReduction<CoeffReturnType, Index, EvaluatorPoin...
  function namespace (line 475) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 106) | typedef typename Base::Scalar Scalar;
  function virtual (line 110) | virtual ~TensorLazyEvaluator() {
  type typename (line 128) | typedef typename PlainObjectType::Base Base;
  type typename (line 129) | typedef typename Eigen::internal::nested<Self>::type Nested;
  type typename (line 130) | typedef typename internal::traits<PlainObjectType>::StorageKind StorageK...
  type typename (line 131) | typedef typename internal::traits<PlainObjectType>::Index Index;
  type typename (line 132) | typedef typename internal::traits<PlainObjectType>::Scalar Scalar;
  type typename (line 133) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 134) | typedef typename Base::CoeffReturnType CoeffReturnType;
  type Scalar (line 135) | typedef Scalar* PointerType;
  type PointerType (line 136) | typedef PointerType PointerArgType;
  type typename (line 139) | typedef typename PlainObjectType::Dimensions Dimensions;
  type internal (line 152) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function m_evaluator (line 159) | TensorRef(const Expression& expr) : m_evaluator(new internal::TensorLazy...
  function m_evaluator (line 175) | TensorRef(const TensorRef& other) : m_evaluator(other.m_evaluator) {
  function Index (line 193) | Index dimension(Index n) const { return m_evaluator->dimensions()[n]; }
  function Scalar (line 199) | const Scalar* data() const { return m_evaluator->data(); }
  function Scalar (line 202) | const Scalar operator()(Index index) const
  function Scalar (line 209) | const Scalar operator()(Index firstIndex, IndexTypes... otherIndices) const
  function Scalar (line 225) | const Scalar operator()(Index i0, Index i1) const
  function Scalar (line 233) | const Scalar operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 242) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 252) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3, Index i4...
  function Scalar (line 303) | const Scalar coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 340) | const Scalar coeff(Index index) const
  type typename (line 369) | typedef typename Derived::Index Index;
  type typename (line 370) | typedef typename Derived::Scalar Scalar;
  type typename (line 371) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 372) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 373) | typedef typename Derived::Dimensions Dimensions;
  type StorageMemory (line 374) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 375) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 388) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 397) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function cleanup (line 401) | void cleanup() { }
  function CoeffReturnType (line 403) | CoeffReturnType coeff(Index index) const {
  function EIGEN_DEVICE_FUNC (line 411) | EIGEN_DEVICE_FUNC const Scalar* data() const { return m_ref.data(); }
  type typename (line 422) | typedef typename Derived::Index Index;
  type typename (line 423) | typedef typename Derived::Scalar Scalar;
  type typename (line 424) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 425) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 426) | typedef typename Derived::Dimensions Dimensions;
  type TensorEvaluator (line 428) | typedef TensorEvaluator<const TensorRef<Derived>, Device> Base;
  type internal (line 439) | typedef internal::TensorBlockNotImplemented TensorBlock;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorReverseOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorReverseOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorReverseOp>::StorageKind
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorReverseOp>::Index Index;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 110) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 113) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 114) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 116) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 119) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function evalSubExprsIfNeeded (line 153) | bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 160) | void evalSubExprsIfNeededAsync(
  function cleanup (line 166) | void cleanup() {
  function Index (line 170) | Index reverseIndex(
  function CoeffReturnType (line 208) | CoeffReturnType coeff(
  function EIGEN_STRONG_INLINE (line 214) | EIGEN_STRONG_INLINE
  function TensorOpCost (line 356) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorReverseOp (line 415) | typedef TensorReverseOp<ReverseDimensions, ArgType> XprType;
  type typename (line 416) | typedef typename XprType::Index Index;
  type DSizes (line 418) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 433) | typedef typename XprType::Scalar Scalar;
  type typename (line 434) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 435) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 439) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function writePacket (line 450) | void writePacket(Index index, const PacketReturnType& x) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScan.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 54) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 55) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 56) | typedef typename Eigen::internal::nested<TensorScanOp>::type Nested;
  type typename (line 57) | typedef typename Eigen::internal::traits<TensorScanOp>::StorageKind Stor...
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorScanOp>::Index Index;
  function namespace (line 81) | namespace internal {
  function EIGEN_STRONG_INLINE (line 211) | EIGEN_STRONG_INLINE Index AdjustBlockSize(Index item_size, Index block_s...
  function ScanKernel (line 337) | void ScanKernel(Self self, Index total_size, typename Self::CoeffReturnT...
  type typename (line 379) | typedef typename XprType::Index Index;
  type ArgType (line 380) | typedef const ArgType ChildTypeNoConst;
  type ArgType (line 381) | typedef const ArgType ChildType;
  type DSizes (line 383) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 384) | typedef typename internal::remove_const<typename
  type typename (line 385) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 386) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type TensorEvaluator (line 387) | typedef TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> Self;
  type StorageMemory (line 388) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 389) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 402) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 468) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function PacketReturnType (line 483) | PacketReturnType packet(Index index) const {
  function CoeffReturnType (line 492) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 497) | TensorOpCost costPerCoeff(bool) const {
  function cleanup (line 501) | void cleanup() {
  function bind (line 511) | void bind(cl::sycl::handler &cgh) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScanSycl.h
  function namespace (line 40) | namespace Eigen {
  function namespace (line 467) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorShufflingOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorShufflingOp>::StorageKind...
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Index Index;
  type TensorShufflingOp (line 89) | typedef TensorShufflingOp<Shuffle, ArgType> XprType;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 110) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 113) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 114) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 116) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function evalSubExprsIfNeeded (line 166) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function evalSubExprsIfNeededAsync (line 173) | void evalSubExprsIfNeededAsync(
  function cleanup (line 179) | void cleanup() {
  function CoeffReturnType (line 183) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 195) | static PacketReturnType Run(const Self& self, Index index) {
  function EIGEN_STRONG_INLINE (line 225) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type internal (line 259) | typedef internal::TensorBlockIO<ScalarNoConst, Index, NumDims, Layout>
  type typename (line 261) | typedef typename TensorBlockIO::Dst TensorBlockIODst;
  type typename (line 262) | typedef typename TensorBlockIO::Src TensorBlockIOSrc;
  function TensorOpCost (line 280) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
  function namespace (line 20) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::internal::traits<TensorStridingOp>::Scalar Scalar;
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename Eigen::internal::nested<TensorStridingOp>::type Nested;
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorStridingOp>::StorageKind ...
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorStridingOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 90) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 91) | typedef typename XprType::Scalar Scalar;
  type typename (line 92) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 93) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 95) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 96) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 109) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 145) | bool evalSubExprsIfNeeded(EvaluatorPointerType/*data*/) {
  function cleanup (line 149) | void cleanup() {
  function CoeffReturnType (line 153) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 159) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 208) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTrace.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorTraceOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorTraceOp>::StorageKind Sto...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorTraceOp>::Index Index;
  type typename (line 88) | typedef typename XprType::Index Index;
  type DSizes (line 89) | typedef DSizes<Index, NumOutputDims> Dimensions;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 94) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 95) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 108) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 214) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 219) | void cleanup() {
  function CoeffReturnType (line 223) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 245) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  function bind (line 260) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 267) | Index firstInput(Index index) const {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 90) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 91) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 92) | typedef typename BaseTraits::Index Index;
  type MakePointer_ (line 101) | typedef MakePointer_<T> MakePointerT;
  type typename (line 102) | typedef typename MakePointerT::Type Type;
  type typename (line 104) | typedef typename MakePointer<Scalar>::Type PointerType;
  type typename (line 112) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 113) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 114) | typedef typename BaseTraits::Index Index;
  type typename (line 121) | typedef typename BaseTraits::PointerType PointerType;
  type Tensor (line 128) | typedef const Tensor<_Scalar, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type Tensor (line 134) | typedef const Tensor<_Scalar, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type TensorFixedSize (line 140) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorFixedSize (line 146) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorMap (line 152) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorMap (line 158) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorRef (line 164) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 170) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type typename (line 176) | typedef typename ref_selector<T>::type type;
  type TensorRef (line 207) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 213) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type PaddingType (line 257) | typedef enum {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorUInt128.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h
  function namespace (line 7) | namespace Eigen {
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Scalar Sc...
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorVolumePatchOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::StorageKi...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Index Index;
  type typename (line 172) | typedef typename XprType::Index Index;
  type DSizes (line 175) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 176) | typedef typename internal::remove_const<typename
  type typename (line 177) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 178) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 180) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 181) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 194) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function evalSubExprsIfNeeded (line 355) | bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
  function cleanup (line 360) | void cleanup() {
  function CoeffReturnType (line 364) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 420) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 508) | TensorOpCost

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/DynamicSymmetry.h
  function namespace (line 13) | namespace Eigen {
  function add (line 27) | void add(Gen_) { add(Gen_::One, Gen_::Two, Gen_::Flags); }
  function addSymmetry (line 28) | inline void addSymmetry(int one, int two) { add(one, two, 0); }
  function addAntiSymmetry (line 29) | inline void addAntiSymmetry(int one, int two) { add(one, two, NegationFl...
  function addHermiticity (line 30) | inline void addHermiticity(int one, int two) { add(one, two, Conjugation...
  function addAntiHermiticity (line 31) | inline void addAntiHermiticity(int one, int two) { add(one, two, Negatio...
  function RV (line 34) | inline RV apply(const std::array<Index, N>& idx, RV initial, Args&&... a...
  function RV (line 43) | RV apply(const std::vector<Index>& idx, RV initial, Args&&... args) const
  type GroupElement (line 67) | struct GroupElement {
  function DynamicSGroup (line 161) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs const...
  function DynamicSGroup (line 162) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs&& oth...
  function add_all (line 168) | void add_all(internal::type_list<Gen1, GenNext...>)
  function add_all (line 174) | inline void add_all(internal::type_list<>)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/StaticSymmetry.h
  function namespace (line 13) | namespace Eigen {
  type indices_ (line 34) | typedef indices_ indices;
  type tensor_static_symgroup_element (line 41) | typedef tensor_static_symgroup_element<
  type tensor_static_symgroup_element (line 50) | typedef tensor_static_symgroup_element<
  type typename (line 70) | typedef typename B::indices iib;
  type tensor_static_symgroup_element (line 77) | typedef tensor_static_symgroup_element<
  type typename (line 86) | typedef typename A::indices iia;
  type typename (line 87) | typedef typename B::indices iib;
  type tensor_static_symgroup (line 115) | struct tensor_static_symgroup
  function std (line 128) | inline std::vector<Index> tensor_static_symgroup_index_permute(std::vect...
  type internal (line 184) | typedef internal::group_theory::enumerate_group_elements<
  type typename (line 190) | typedef typename group_elements::type ge;
  function RV (line 197) | static inline RV apply(const std::array<Index, N>& idx, RV initial, Args...
  function RV (line 203) | inline RV apply(const std::vector<Index>& idx, RV initial, Args&&... args)
  function size (line 211) | constexpr static inline std::size_t size() {
  function globalFlags (line 214) | constexpr static inline int globalFlags() { return group_elements::globa...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/Symmetry.h
  function namespace (line 13) | namespace Eigen {
  function namespace (line 152) | namespace internal {
  type StaticSGroup (line 229) | typedef StaticSGroup<> root_type;
  type tensor_symmetry_pre_analysis (line 233) | struct tensor_symmetry_pre_analysis
  type tensor_static_symgroup_if (line 237) | typedef tensor_static_symgroup_if<(sizeof...(Gens_) + 1 <= max_static_ge...
  type typename (line 240) | typedef typename conditional<
  type tensor_static_symgroup_if (line 248) | struct tensor_static_symgroup_if
  type tensor_static_symgroup_if (line 255) | struct tensor_static_symgroup_if
  type typename (line 260) | typedef typename Tensor_::Index Index;
  type typename (line 261) | typedef typename Tensor_::Scalar Scalar;
  function run (line 264) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 279) | typedef typename Tensor_::Index Index;
  function run (line 282) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 301) | typedef typename Tensor_::Scalar Scalar;
  function doAssign (line 317) | inline void doAssign(Scalar const& value)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/util/TemplateGroupTheory.h
  function namespace (line 13) | namespace Eigen {
  type type_list (line 221) | typedef type_list<first_generator> generators_done;
  type dimino_first_step_elements_helper (line 223) | typedef dimino_first_step_elements_helper<
  type typename (line 232) | typedef typename helper::type type;
  type typename (line 264) | typedef typename apply_op_from_right<Multiply, new_coset_rep, sub_group_...
  type contained_in_list_gf (line 317) | typedef contained_in_list_gf<Equality, new_coset_rep, elements> _cil;
  type typename (line 320) | typedef typename dimino_get_coset_elements<
  type dimino_add_cosets_for_rep (line 327) | typedef dimino_add_cosets_for_rep<
  type typename (line 338) | typedef typename _helper::type type;
  type typename (line 392) | typedef typename get<rep_pos, elements>::type rep_element;
  type dimino_add_cosets_for_rep (line 393) | typedef dimino_add_cosets_for_rep<
  type typename (line 403) | typedef typename _ac4r::type new_elements;
  type dimino_add_all_coset_spaces (line 408) | typedef dimino_add_all_coset_spaces<
  type typename (line 420) | typedef typename _helper::type type;
  type typename (line 467) | typedef typename apply_op_from_right<Multiply, current_generator, elemen...
  type typename (line 468) | typedef typename concat<elements, multiplied_elements>::type new_elements;
  type dimino_add_all_coset_spaces (line 472) | typedef dimino_add_all_coset_spaces<
  type typename (line 483) | typedef typename _helper::type type;
  type contained_in_list_gf (line 527) | typedef contained_in_list_gf<Equality, first_generator, elements> _cil;
  type dimino_add_generator (line 529) | typedef dimino_add_generator<
  type typename (line 539) | typedef typename _helper::type new_elements;
  type dimino_add_remaining_generators (line 541) | typedef dimino_add_remaining_generators<
  type typename (line 550) | typedef typename _next_iter::type type;
  type typename (line 594) | typedef typename first_step::type first_step_elements;
  type dimino_add_remaining_generators (line 596) | typedef dimino_add_remaining_generators<
  type typename (line 605) | typedef typename _helper::type type;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/Barrier.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/EventCount.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/NonBlockingThreadPool.h
  function namespace (line 13) | namespace Eigen {
  function EncodePartition (line 175) | inline unsigned EncodePartition(unsigned start, unsigned limit) {
  function DecodePartition (line 179) | inline void DecodePartition(unsigned val, unsigned* start, unsigned* lim...
  function AssertBounds (line 185) | void AssertBounds(int start, int end) {
  function SetStealPartition (line 191) | inline void SetStealPartition(size_t i, unsigned val) {
  function GetStealPartition (line 195) | inline unsigned GetStealPartition(int i) {
  function ComputeCoprimes (line 199) | void ComputeCoprimes(int N, MaxSizeVector<unsigned>* coprimes) {
  type typename (line 215) | typedef typename Environment::EnvThread Thread;
  function else (line 217) | struct PerThread {
  function Task (line 336) | Task Steal(unsigned start, unsigned limit) {
  function Task (line 362) | Task LocalSteal() {
  function Task (line 376) | Task GlobalSteal() {
  function WaitForWork (line 384) | bool WaitForWork(EventCount::Waiter* waiter, Task* t) {
  function NonEmptyQueueIndex (line 431) | int NonEmptyQueueIndex() {
  function EIGEN_STRONG_INLINE (line 452) | static EIGEN_STRONG_INLINE uint64_t GlobalThreadIdHash() {
  function EIGEN_STRONG_INLINE (line 456) | EIGEN_STRONG_INLINE PerThread* GetPerThread() {
  function Rand (line 472) | static EIGEN_STRONG_INLINE unsigned Rand(uint64_t* state) {
  type ThreadPoolTempl (line 482) | typedef ThreadPoolTempl<StlThreadEnvironment> ThreadPool;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/RunQueue.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadEnvironment.h
  function namespace (line 13) | namespace Eigen {
  function Task (line 34) | Task CreateTask(std::function<void()> f) { return Task{std::move(f)}; }
  function ExecuteTask (line 35) | void ExecuteTask(const Task& t) { t.f(); }

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadLocal.h
  function namespace (line 65) | namespace Eigen {
  type ThreadIdAndValue (line 257) | struct ThreadIdAndValue {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadPoolInterface.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/util/CXX11Meta.h
  function namespace (line 18) | namespace Eigen {
  type a (line 71) | typedef a type;
  type take (line 81) | struct take
  type type_list (line 81) | typedef type_list<> type;
  type h_skip_helper_type (line 98) | struct h_skip_helper_type
  type type_list (line 98) | typedef type_list<> type;
  function type (line 104) | type helper(numeric_list<T, ii...>) { return typename h_skip_helper_nume...
  function type (line 106) | type helper(type_list<tt...>) { return typename h_skip_helper_type<n, tt...
  type type (line 109) | typedef decltype(h_skip<n>::helper(a())) type;
  type t (line 129) | typedef t type;
  type t (line 130) | typedef t type;
  function run (line 268) | int run() { return Reducer::Identity; }
  function EIGEN_STRONG_INLINE (line 276) | constexpr static EIGEN_STRONG_INLINE A run(A a) { return a; }
  function EIGEN_STRONG_INLINE (line 285) | constexpr static EIGEN_STRONG_INLINE auto run(A a, Ts... ts) -> decltype...
  type sum_op (line 292) | struct sum_op           {
  type product_op (line 296) | struct product_op       {
  type logical_and_op (line 301) | struct logical_and_op   { template<typename A, typename B> constexpr sta...
  type logical_or_op (line 302) | struct logical_or_op    { template<typename A, typename B> constexpr sta...
  type equal_op (line 304) | struct equal_op         { template<typename A, typename B> constexpr sta...
  type not_equal_op (line 305) | struct not_equal_op     { template<typename A, typename B> constexpr sta...
  type lesser_op (line 306) | struct lesser_op        { template<typename A, typename B> constexpr sta...
  type lesser_equal_op (line 307) | struct lesser_equal_op  { template<typename A, typename B> constexpr sta...
  type greater_op (line 308) | struct greater_op       { template<typename A, typename B> constexpr sta...
  type greater_equal_op (line 309) | struct greater_equal_op { template<typename A, typename B> constexpr sta...
  type not_op (line 313) | struct not_op                { template<typename A> constexpr static EIG...
  type negation_op (line 314) | struct negation_op           { template<typename A> constexpr static EIG...
  type greater_equal_zero_op (line 315) | struct greater_equal_zero_op { template<typename A> constexpr static EIG...
  function EIGEN_STRONG_INLINE (line 324) | constexpr EIGEN_STRONG_INLINE decltype(reduce<product_op, Ts...>::run((*...
  function EIGEN_STRONG_INLINE (line 338) | EIGEN_STRONG_INLINE Array h_array_reverse(Array arr, numeric_list<int, n...
  function T (line 368) | T run(const array<T, N>& arr, T)
  function EIGEN_STRONG_INLINE (line 377) | constexpr static EIGEN_STRONG_INLINE T run(const array<T, 0>&, T identity)
  function EIGEN_STRONG_INLINE (line 384) | constexpr EIGEN_STRONG_INLINE auto array_reduce(const array<T, N>& arr, ...
  function EIGEN_STRONG_INLINE (line 392) | constexpr EIGEN_STRONG_INLINE auto array_sum(const array<T, N>& arr) -> ...
  function EIGEN_STRONG_INLINE (line 398) | constexpr EIGEN_STRONG_INLINE auto array_prod(const array<T, N>& arr) ->...
  function EIGEN_STRONG_INLINE (line 404) | EIGEN_STRONG_INLINE t array_prod(const std::vector<t>& a) {
  function EIGEN_STRONG_INLINE (line 428) | constexpr EIGEN_STRONG_INLINE auto h_array_zip_and_reduce(array<A, N> a,...
  function decltype (line 434) | auto array_zip_and_reduce(array<A, N> a, array<B, N> b) -> decltype(h_ar...
  function EIGEN_STRONG_INLINE (line 456) | constexpr EIGEN_STRONG_INLINE auto h_array_apply_and_reduce(array<A, N> ...
  function decltype (line 462) | auto array_apply_and_reduce(array<A, N> a) -> decltype(h_array_apply_and...
  type h_instantiate_by_c_array (line 487) | struct h_instantiate_by_c_array
  type h_instantiate_by_c_array (line 490) | struct h_instantiate_by_c_array
  function InstType (line 492) | static InstType run(ArrType* arr, Ps... args)
  type h_instantiate_by_c_array (line 499) | struct h_instantiate_by_c_array
  function InstType (line 501) | static InstType run(ArrType* arr, Ps... args)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/util/CXX11Workarounds.h
  function namespace (line 42) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/util/EmulateArray.h
  function namespace (line 20) | namespace Eigen {
  function namespace (line 199) | namespace internal {
  function namespace (line 229) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/CXX11/src/util/MaxSizeVector.h
  function namespace (line 13) | namespace Eigen {
  function T (line 115) | const T& back() const {
  function T (line 133) | T* data() { return data_; }
  function T (line 136) | const T* data() const { return data_; }
  function T (line 139) | T* begin() { return data_; }
  function T (line 142) | T* end() { return data_ + size_; }
  function T (line 145) | const T* begin() const { return data_; }
  function T (line 148) | const T* end() const { return data_ + size_; }

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffJacobian.h
  function namespace (line 13) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h
  function namespace (line 13) | namespace Eigen {
  function friend (line 303) | friend inline const AutoDiffScalar<EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYP...
  function namespace (line 383) | namespace internal {
  function AutoDiffScalar (line 418) | inline AutoDiffScalar<_DerType>& operator+=(const Real& other)
  function run (line 477) | static void run(A& a, B& b) {
  function run (line 493) | static void run(A& a, B& b) {
  type Matrix (line 511) | typedef Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols...
  function run (line 512) | static void run(A& a, B& b) {
  type AutoDiffScalar (line 570) | typedef AutoDiffScalar<typename
  function typename (line 578) | typename DerType::Scalar imag(const AutoDiffScalar<DerType>&)    { retur...
  type typename (line 581) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 586) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 591) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 596) | typedef typename CleanedUpDerType<DerType>::type ADS;
  function Eigen (line 642) | const Eigen::AutoDiffScalar<
  type typename (line 657) | typedef typename internal::traits<typename internal::remove_all<DerTypeA...
  type AutoDiffScalar (line 658) | typedef AutoDiffScalar<Matrix<Scalar,Dynamic,1> > PlainADS;
  type AutoDiffScalar (line 706) | typedef AutoDiffScalar<Matrix<typename
  type AutoDiffScalar (line 708) | typedef AutoDiffScalar<DerType> NonInteger;
  type AutoDiffScalar (line 709) | typedef AutoDiffScalar<DerType> Nested;
  type typename (line 710) | typedef typename NumTraits<typename DerTypeCleaned::Scalar>::Literal Lit...
  function namespace (line 718) | namespace std {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/BVH/BVAlgorithms.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/BVH/KdBVH.h
  function namespace (line 13) | namespace Eigen {
  type _Object (line 72) | typedef _Object Object;
  type std (line 73) | typedef std::vector<Object, aligned_allocator<Object> > ObjectList;
  type _Scalar (line 74) | typedef _Scalar Scalar;
  type AlignedBox (line 75) | typedef AlignedBox<Scalar, Dim> Volume;
  type std (line 76) | typedef std::vector<Volume, aligned_allocator<Volume> > VolumeList;
  type Index (line 77) | typedef int Index;
  type Object (line 79) | typedef const Object *ObjectIterator;
  function EIGEN_STRONG_INLINE (line 133) | EIGEN_STRONG_INLINE void getChildren(Index index, VolumeIterator &outVBe...
  function Volume (line 165) | inline const Volume &getVolume(Index index) const
  type std (line 172) | typedef std::vector<VIPair, aligned_allocator<VIPair> > VIPairList;
  type Matrix (line 173) | typedef Matrix<Scalar, Dim, 1> VectorType;
  type VectorComparator (line 174) | struct VectorComparator //compares vectors, or more specifically, VIPair...
  function build (line 184) | void build(VIPairList &objCenters, int from, int to, const VolumeList &o...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Eigenvalues/ArpackSelfAdjointEigenSolver.h
  function namespace (line 15) | namespace Eigen {
  function seupd (line 696) | static inline void seupd(int *rvec, char *All, int *select, float *d,
  type arpack_wrapper (line 708) | struct arpack_wrapper
  function saupd (line 710) | static inline void saupd(int *ido, char *bmat, int *n, char *which,
  function seupd (line 718) | static inline void seupd(int *rvec, char *All, int *select, double *d,
  function project (line 760) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)
  function project (line 778) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/EulerAngles/EulerAngles.h
  function namespace (line 13) | namespace Eigen
  function namespace (line 323) | namespace internal
  function run (line 336) | static void run(EulerAngles<Scalar, System>& e, const Other& m)
  function run (line 347) | static void run(EulerAngles<Scalar, System>& e, const Other& vec)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/EulerAngles/EulerSystem.h
  function namespace (line 13) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/FFT/ei_fftw_impl.h
  function namespace (line 10) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/FFT/ei_kissfft_impl.h
  function namespace (line 10) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h
  function namespace (line 36) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/DGMRES.h
  function namespace (line 15) | namespace Eigen {
  type _MatrixType (line 113) | typedef _MatrixType MatrixType;
  type typename (line 114) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 115) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 116) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 117) | typedef _Preconditioner Preconditioner;
  type Matrix (line 118) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 119) | typedef Matrix<RealScalar,Dynamic,Dynamic> DenseRealMatrix;
  type Matrix (line 120) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type Matrix (line 121) | typedef Matrix<RealScalar,Dynamic,1> DenseRealVector;
  type Matrix (line 122) | typedef Matrix<std::complex<RealScalar>, Dynamic, 1> ComplexVector;
  function Index (line 158) | Index restart() { return m_restart; }
  function set_restart (line 163) | void set_restart(const Index restart) { m_restart=restart; }
  function setEigenv (line 168) | void setEigenv(const Index neig)
  function Index (line 177) | Index deflSize() {return m_r; }
  function setMaxEigenv (line 182) | void setMaxEigenv(const Index maxNeig) { m_maxNeig = maxNeig; }

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/GMRES.h
  function namespace (line 14) | namespace Eigen {
  type _MatrixType (line 283) | typedef _MatrixType MatrixType;
  type typename (line 284) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 285) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 286) | typedef _Preconditioner Preconditioner;
  function Index (line 310) | Index get_restart() { return m_restart; }
  function set_restart (line 315) | void set_restart(const Index restart) { m_restart=restart; }

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/IDRS.h
  function namespace (line 16) | namespace Eigen

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/IncompleteLU.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/IterationController.h
  function namespace (line 61) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/MINRES.h
  function namespace (line 17) | namespace Eigen {
  type _MatrixType (line 206) | typedef _MatrixType MatrixType;
  type typename (line 207) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 208) | typedef typename MatrixType::RealScalar RealScalar;
  type _Preconditioner (line 209) | typedef _Preconditioner Preconditioner;
  type typename (line 238) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 239) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 246) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 248) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/IterativeSolvers/Scaling.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMcovar.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMonestep.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMpar.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMqrsolv.h
  function namespace (line 18) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/LevenbergMarquardt/LevenbergMarquardt.h
  function namespace (line 23) | namespace Eigen {
  type _Scalar (line 71) | typedef _Scalar Scalar;
  type _Index (line 72) | typedef _Index Index;
  type Matrix (line 73) | typedef Matrix<Scalar,Dynamic,1> InputType;
  type Matrix (line 74) | typedef Matrix<Scalar,Dynamic,1> ValueType;
  type SparseMatrix (line 75) | typedef SparseMatrix<Scalar, ColMajor, Index> JacobianType;
  type SparseQR (line 76) | typedef SparseQR<JacobianType, COLAMDOrdering<int> > QRSolver;
  function namespace (line 95) | namespace internal {
  type typename (line 114) | typedef typename FunctorType::QRSolver QRSolver;
  type typename (line 115) | typedef typename FunctorType::JacobianType JacobianType;
  type typename (line 116) | typedef typename JacobianType::Scalar Scalar;
  type typename (line 117) | typedef typename JacobianType::RealScalar RealScalar;
  type typename (line 118) | typedef typename QRSolver::StorageIndex PermIndex;
  type Matrix (line 119) | typedef Matrix<Scalar,Dynamic,1> FVectorType;
  type PermutationMatrix (line 120) | typedef PermutationMatrix<Dynamic,Dynamic,int> PermutationType;
  function resetParameters (line 145) | void resetParameters()
  function setXtol (line 158) | void setXtol(RealScalar xtol) { m_xtol = xtol; }
  function setFtol (line 161) | void setFtol(RealScalar ftol) { m_ftol = ftol; }
  function setGtol (line 164) | void setGtol(RealScalar gtol) { m_gtol = gtol; }
  function setFactor (line 167) | void setFactor(RealScalar factor) { m_factor = factor; }
  function setEpsilon (line 170) | void setEpsilon (RealScalar epsfcn) { m_epsfcn = epsfcn; }
  function setMaxfev (line 173) | void setMaxfev(Index maxfev) {m_maxfev = maxfev; }
  function setExternalScaling (line 176) | void setExternalScaling(bool value) {m_useExternalScaling  = value; }
  function Index (line 200) | Index iterations() { return m_iter; }
  function Index (line 203) | Index nfev() { return m_nfev; }
  function Index (line 206) | Index njev() { return m_njev; }
  function RealScalar (line 209) | RealScalar fnorm() {return m_fnorm; }
  function RealScalar (line 212) | RealScalar gnorm() {return m_gnorm; }
  function RealScalar (line 215) | RealScalar lm_param(void) { return m_par; }
  function PermutationType (line 232) | PermutationType permutation() {return m_permutation; }
  function Status (line 343) | Status
  function Scalar (line 371) | Scalar tol

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
  function namespace (line 16) | namespace Eigen {
  function true_type (line 348) | struct is_exp_known_type<float> : true_type {}
  function true_type (line 349) | struct is_exp_known_type<double> : true_type {}
  function true_type (line 351) | struct is_exp_known_type<long double> : true_type {}
  type typename (line 357) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 377) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 378) | typedef typename traits<MatrixType>::Scalar Scalar;
  type typename (line 379) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 380) | typedef typename std::complex<RealScalar> ComplexScalar;
  function namespace (line 424) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 133) | typedef typename EivalsType::RealScalar RealScalar;
  type typename (line 283) | typedef typename MatrixType::Scalar Scalar;
  type internal (line 325) | typedef internal::traits<MatrixType> Traits;
  type typename (line 326) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 328) | typedef Matrix<Scalar, Dynamic, Dynamic, Options, Traits::RowsAtCompileT...
  function run (line 393) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  function run (line 417) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  type typename (line 475) | typedef typename internal::stem_function<Scalar>::type StemFunction;
  type typename (line 496) | typedef typename internal::nested_eval<Derived, 10>::type NestedEvalType;
  type typename (line 497) | typedef typename internal::remove_all<NestedEvalType>::type NestedEvalTy...
  type internal (line 498) | typedef internal::traits<NestedEvalTypeClean> Traits;
  type std (line 499) | typedef std::complex<typename
  type Matrix (line 500) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0, Traits::RowsAtCompile...
  type internal (line 502) | typedef internal::MatrixFunctionAtomic<DynMatrixType> AtomicType;
  function namespace (line 516) | namespace internal {
  type typename (line 539) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 547) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 555) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 563) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 93) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 94) | typedef typename MatrixType::RealScalar RealScalar;
  type std (line 95) | typedef std::complex<RealScalar> ComplexScalar;
  type Block (line 96) | typedef Block<MatrixType,Dynamic,Dynamic> ResultType;
  type typename (line 341) | typedef typename MatrixType::RealScalar RealScalar;
  function MatrixPowerParenthesesReturnValue (line 366) | const MatrixPowerParenthesesReturnValue<MatrixType> operator()(RealScala...
  type Matrix (line 384) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0,
  type typename (line 600) | typedef typename Derived::RealScalar RealScalar;
  type typename (line 647) | typedef typename std::complex<typename
  function namespace (line 679) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MatrixFunctions/StemFunction.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/MoreVectorization/MathFunctions.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/chkder.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/covar.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/dogleg.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/qrsolv.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/r1mpyq.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/r1updt.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NonLinearOptimization/rwupdt.h
  function namespace (line 1) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
  function namespace (line 16) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Polynomials/Companion.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Polynomials/PolynomialSolver.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 340) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 343) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, Sca...

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Polynomials/PolynomialUtils.h
  function namespace (line 13) | namespace Eigen {
  type typename (line 101) | typedef typename Polynomial::Scalar Scalar;
  type typename (line 102) | typedef typename NumTraits<Scalar>::Real Real;
  type typename (line 130) | typedef typename Polynomial::Scalar Scalar;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineMatrix.h
  function namespace (line 16) | namespace Eigen {
  function Index (line 98) | inline Index upperNonZeros(Index j) const {
  function Index (line 102) | inline Index lowerNonZeros(Index j) const {
  function Scalar (line 106) | inline const Scalar* _diagPtr() const {
  function Scalar (line 110) | inline Scalar* _diagPtr() {
  function Scalar (line 114) | inline const Scalar* _upperPtr() const {
  function Scalar (line 118) | inline Scalar* _upperPtr() {
  function Scalar (line 122) | inline const Scalar* _lowerPtr() const {
  function Scalar (line 126) | inline Scalar* _lowerPtr() {
  function Index (line 130) | inline const Index* _upperProfilePtr() const {
  function Index (line 134) | inline Index* _upperProfilePtr() {
  function Index (line 138) | inline const Index* _lowerProfilePtr() const {
  function Index (line 142) | inline Index* _lowerProfilePtr() {
  function Scalar (line 146) | inline Scalar coeff(Index row, Index col) const {
  function Scalar (line 195) | inline Scalar& coeffRef(Index row, Index col) {
  function Scalar (line 234) | inline Scalar coeffDiag(Index idx) const {
  function Scalar (line 240) | inline Scalar coeffLower(Index row, Index col) const {
  function Scalar (line 264) | inline Scalar coeffUpper(Index row, Index col) const {
  function Scalar (line 287) | inline Scalar& coeffRefDiag(Index idx) {
  function Scalar (line 293) | inline Scalar& coeffRefLower(Index row, Index col) {
  function coeffExistLower (line 312) | inline bool coeffExistLower(Index row, Index col) {
  function Scalar (line 329) | inline Scalar& coeffRefUpper(Index row, Index col) {
  function coeffExistUpper (line 348) | inline bool coeffExistUpper(Index row, Index col) {
  function setZero (line 376) | inline void setZero() {
  function reserve (line 388) | inline void reserve(Index reserveSize, Index reserveUpperSize, Index res...
  function EIGEN_DONT_INLINE (line 400) | EIGEN_DONT_INLINE Scalar & insert(Index row, Index col) {
  function finalize (line 534) | inline void finalize() {
  function squeeze (line 577) | inline void squeeze() {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineMatrixBase.h
  function namespace (line 15) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineProduct.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineStorage.h
  function namespace (line 13) | namespace Eigen {
  function clear (line 132) | inline void clear() {
  function Scalar (line 136) | inline Scalar& diag(Index i) {
  function Scalar (line 140) | inline const Scalar& diag(Index i) const {
  function Scalar (line 144) | inline Scalar& upper(Index i) {
  function Scalar (line 148) | inline const Scalar& upper(Index i) const {
  function Scalar (line 152) | inline Scalar& lower(Index i) {
  function Scalar (line 156) | inline const Scalar& lower(Index i) const {
  function Index (line 160) | inline Index& upperProfile(Index i) {
  function Index (line 164) | inline const Index& upperProfile(Index i) const {
  function Index (line 168) | inline Index& lowerProfile(Index i) {
  function Index (line 172) | inline const Index& lowerProfile(Index i) const {
  function SkylineStorage (line 176) | static SkylineStorage Map(Index* upperProfile, Index* lowerProfile, Scal...
  function reset (line 189) | inline void reset() {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Skyline/SkylineUtil.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/BlockOfDynamicSparseMatrix.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h
  function namespace (line 14) | namespace Eigen {
  type typename (line 89) | typedef typename Iterator::value_type Triplet;
  type Ref (line 106) | typedef Ref<typename
  type typename (line 107) | typedef typename BlockSparseMatrixT::Index Index;
  type BlockSparseMatrixT (line 108) | typedef  BlockSparseMatrixT Nested;
  function Scalar (line 134) | Scalar coeff(Index row, Index col)
  function Scalar (line 138) | Scalar coeffRef(Index row, Index col)
  function class (line 143) | class InnerIterator : public BlockSparseMatrixT::BlockInnerIterator
  type Ref (line 167) | typedef Ref<const Matrix<typename
  type typename (line 168) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 181) | inline Scalar coeff(Index bi) const
  function Scalar (line 187) | inline Scalar coeff(Index bi, Index j) const
  type Ref (line 211) | typedef Ref<Matrix<typename
  type typename (line 212) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 221) | inline Scalar coeffRef(Index bi)
  function Scalar (line 227) | inline Scalar coeffRef(Index bi, Index j)
  function namespace (line 243) | namespace internal {
  function BlockSparseTimeDenseProduct (line 268) | EIGEN_PRODUCT_PUBLIC_INTERFACE(BlockSparseTimeDenseProduct)
  type _Scalar (line 287) | typedef _Scalar Scalar;
  type typename (line 288) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type _StorageIndex (line 289) | typedef _StorageIndex StorageIndex;
  type typename (line 290) | typedef typename internal::ref_selector<BlockSparseMatrix<_Scalar, _Bloc...
  type Matrix (line 303) | typedef Matrix<Scalar, _BlockAtCompileTime, _BlockAtCompileTime,IsColMaj...
  type Matrix (line 304) | typedef Matrix<RealScalar, _BlockAtCompileTime, _BlockAtCompileTime,IsCo...
  type typename (line 305) | typedef typename internal::conditional<_BlockAtCompileTime==Dynamic, Sca...
  type BlockSparseMatrix (line 306) | typedef BlockSparseMatrix<Scalar, BlockSize, IsColMajor ? ColMajor : Row...
  function resize (line 538) | inline void resize(Index brow, Index bcol)
  function setBlockSize (line 549) | inline void setBlockSize(Index blockSize)
  function setBlockLayout (line 563) | inline void setBlockLayout(const VectorXi& rowBlocks, const VectorXi& co...
  function reserve (line 596) | inline void reserve(const Index nonzerosblocks)
  function Index (line 779) | inline Index outerToBlock(Index outer) const
  function Index (line 791) | inline Index innerToBlock(Index inner) const
  function BlockScalarReturnType (line 864) | inline BlockScalarReturnType *valuePtr() {return static_cast<BlockScalar...
  function StorageIndex (line 866) | inline StorageIndex *innerIndexPtr() {return m_indices; }
  function StorageIndex (line 867) | inline const StorageIndex *innerIndexPtr() const {return m_indices; }
  function StorageIndex (line 868) | inline StorageIndex *outerIndexPtr() {return m_outerIndex; }
  function StorageIndex (line 869) | inline const StorageIndex* outerIndexPtr() const {return m_outerIndex; }
  function Index (line 876) | inline Index blockRowsIndex(Index bi) const
  function Index (line 884) | inline Index blockColsIndex(Index bj) const
  function Index (line 889) | inline Index blockOuterIndex(Index bj) const
  function Index (line 893) | inline Index blockInnerIndex(Index bi) const
  function Index (line 899) | inline Index blockInnerSize(Index bi) const
  function Index (line 903) | inline Index blockOuterSize(Index bj) const
  function Index (line 936) | Index blockPtr(Index id) const
  function Map (line 994) | inline Map<BlockScalar> valueRef()
  function Scalar (line 1054) | inline Scalar& valueRef()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/DynamicSparseMatrix.h
  function namespace (line 13) | namespace Eigen {
  function Index (line 86) | inline Index innerNonZeros(Index j) const { return m_data[j].size(); }
  function Scalar (line 94) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 105) | inline Scalar& coeffRef(Index row, Index col)
  function setZero (line 115) | void setZero()
  function Index (line 122) | Index nonZeros() const
  function Scalar (line 152) | inline Scalar& insertBack(Index row, Index col)
  function Scalar (line 158) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 167) | inline Scalar& insert(Index row, Index col)
  function finalize (line 188) | inline void finalize() {}
  function resize (line 199) | void resize(Index rows, Index cols)
  function resizeAndKeepData (line 210) | void resizeAndKeepData(Index rows, Index cols)
  function EIGEN_DEPRECATED (line 228) | EIGEN_DEPRECATED inline DynamicSparseMatrix()
  function EIGEN_DEPRECATED (line 311) | EIGEN_DEPRECATED Scalar& fill(Index row, Index col)
  function EIGEN_DEPRECATED (line 323) | EIGEN_DEPRECATED Scalar& fillrand(Index row, Index col)
  function EIGEN_DEPRECATED (line 330) | EIGEN_DEPRECATED void endFill() {}
  type typename (line 340) | typedef typename SparseVector<Scalar,_Options,_StorageIndex>::InnerItera...
  type typename (line 357) | typedef typename SparseVector<Scalar,_Options,_StorageIndex>::ReverseInn...
  function namespace (line 371) | namespace internal {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/MarketIO.h
  function namespace (line 17) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/MatrixMarketIterator.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SparseExtra/RandomSetter.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsArrayAPI.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsBFloat16.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsFunctors.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsHalf.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsImpl.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsPacketMath.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/HipVectorCompatibility.h
  function namespace (line 4) | namespace hip_impl {
  function namespace (line 8) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsArrayAPI.h
  function namespace (line 14) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsBFloat16.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsFunctors.h
  function namespace (line 14) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 132) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  function Packet (line 136) | const Packet packetOp(const Packet& x, const Packet& a, const Packet& b)...
  function EIGEN_STRONG_INLINE (line 158) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 161) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 162) | Packet packetOp(const Packet& a) const { return internal::plgamma(a); }
  function EIGEN_STRONG_INLINE (line 180) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 183) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 184) | Packet packetOp(const Packet& a) const { return internal::pdigamma(a); }
  function EIGEN_STRONG_INLINE (line 202) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  type typename (line 205) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 206) | Packet packetOp(const Packet& x, const Packet& q) const { return interna...
  function EIGEN_STRONG_INLINE (line 224) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& n, const Scal...
  type typename (line 227) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 228) | Packet packetOp(const Packet& n, const Packet& x) const { return interna...
  function EIGEN_STRONG_INLINE (line 246) | EIGEN_STRONG_INLINE const Scalar
  function EIGEN_STRONG_INLINE (line 251) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& x) const {
  function EIGEN_STRONG_INLINE (line 285) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 288) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 289) | Packet packetOp(const Packet& a) const { return internal::perfc(a); }
  function EIGEN_STRONG_INLINE (line 308) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 311) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 312) | Packet packetOp(const Packet& a) const { return internal::pndtri(a); }

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsHalf.h
  function namespace (line 11) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsImpl.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsPacketMath.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/GPU/SpecialFunctions.h
  function namespace (line 13) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/SpecialFunctions/arch/NEON/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Splines/Spline.h
  function namespace (line 15) | namespace Eigen
  type typename (line 317) | typedef typename SplineTraits<SplineType>::ControlPointVectorType Contro...
  type typename (line 318) | typedef typename SplineTraits<SplineType,DerivativeOrder>::BasisDerivati...
  type typename (line 319) | typedef typename BasisDerivativeType::ConstRowXpr BasisDerivativeRowXpr;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Splines/SplineFitting.h
  function namespace (line 23) | namespace Eigen
  type typename (line 191) | typedef typename KnotVectorType::Scalar Scalar;
  type typename (line 215) | typedef typename SplineType::KnotVectorType KnotVectorType;
  type typename (line 216) | typedef typename SplineType::ParameterVectorType ParameterVectorType;
  type typename (line 292) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 293) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 295) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixType;
  type typename (line 338) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 339) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 341) | typedef Matrix<Scalar, Dynamic, Dynamic> MatrixType;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/Eigen/src/Splines/SplineFwd.h
  function namespace (line 15) | namespace Eigen
  type Array (line 74) | typedef Array<_Scalar,Dynamic,Dynamic,RowMajor,NumOfDerivativesAtCompile...
  type Array (line 77) | typedef Array<_Scalar,_Dim,Dynamic,DerivativeMemoryLayout,_Dim,NumOfDeri...
  type Spline (line 81) | typedef Spline<float,2> Spline2f;
  type Spline (line 84) | typedef Spline<float,3> Spline3f;
  type Spline (line 87) | typedef Spline<double,2> Spline2d;
  type Spline (line 90) | typedef Spline<double,3> Spline3d;

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/bench/bench_svd.cpp
  function bench_svd (line 34) | void bench_svd(const MatrixType& a = MatrixType())
  function main (line 105) | int main(int argc, char* argv[])

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/BVH_Example.cpp
  type Eigen (line 8) | namespace Eigen {
    function Box2d (line 9) | Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); }
  type PointPointMinimizer (line 12) | struct PointPointMinimizer //how to compute squared distances between po...
    method PointPointMinimizer (line 14) | PointPointMinimizer() : calls(0) {}
    method minimumOnVolumeVolume (line 17) | double minimumOnVolumeVolume(const Box2d &r1, const Box2d &r2) { ++cal...
    method minimumOnVolumeObject (line 18) | double minimumOnVolumeObject(const Box2d &r, const Vector2d &v) { ++ca...
    method minimumOnObjectVolume (line 19) | double minimumOnObjectVolume(const Vector2d &v, const Box2d &r) { ++ca...
    method minimumOnObjectObject (line 20) | double minimumOnObjectObject(const Vector2d &v1, const Vector2d &v2) {...
  function main (line 25) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/EulerAngles.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/FFT.cpp
  function T (line 23) | T mag2(T a)
  function T (line 28) | T mag2(std::complex<T> a)
  function T (line 34) | T mag2(const std::vector<T> & vec)
  function T (line 43) | T mag2(const std::vector<std::complex<T> > & vec)
  function RandomFill (line 61) | void RandomFill(std::vector<T> & vec)
  function RandomFill (line 68) | void RandomFill(std::vector<std::complex<T> > & vec)
  function fwd_inv (line 75) | void fwd_inv(size_t nfft)
  function two_demos (line 93) | void two_demos(int nfft)
  function demo_all_types (line 101) | void demo_all_types(int nfft)
  function main (line 112) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixExponential.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixFunction.cpp
  function expfn (line 6) | std::complex<double> expfn(std::complex<double> x, int)
  function main (line 11) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixLogarithm.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixPower.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixPower_optimal.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixSine.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixSinh.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/MatrixSquareRoot.cpp
  function main (line 6) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/PolynomialSolver1.cpp
  function main (line 8) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/PolynomialUtils1.cpp
  function main (line 7) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/doc/examples/SYCL/CwiseMul.cpp
  function main (line 10) | int main()

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/BVH.cpp
  type Eigen (line 15) | namespace Eigen {
    function bounding_box (line 17) | AlignedBox<Scalar, Dim> bounding_box(const Matrix<Scalar, Dim, 1> &v) ...
  type Ball (line 23) | struct Ball
    method Ball (line 29) | Ball() {}
    method Ball (line 30) | Ball(const VectorType &c, double r) : center(c), radius(r) {}
  function bounding_box (line 35) | AlignedBox<double, Dim> bounding_box(const Ball<Dim> &b)
  function SQR (line 38) | inline double SQR(double x) { return x * x; }
  type BallPointStuff (line 41) | struct BallPointStuff //this class provides functions to be both an inte...
    method BallPointStuff (line 48) | BallPointStuff() : calls(0), count(0) {}
    method BallPointStuff (line 49) | BallPointStuff(const VectorType &inP) : p(inP), calls(0), count(0) {}
    method intersectVolume (line 52) | bool intersectVolume(const BoxType &r) { ++calls; return r.contains(p); }
    method intersectObject (line 53) | bool intersectObject(const BallType &b) {
    method intersectVolumeVolume (line 60) | bool intersectVolumeVolume(const BoxType &r1, const BoxType &r2) { ++c...
    method intersectVolumeObject (line 61) | bool intersectVolumeObject(const BoxType &r, const BallType &b) { ++ca...
    method intersectObjectVolume (line 62) | bool intersectObjectVolume(const BallType &b, const BoxType &r) { ++ca...
    method intersectObjectObject (line 63) | bool intersectObjectObject(const BallType &b1, const BallType &b2){
    method intersectVolumeObject (line 69) | bool intersectVolumeObject(const BoxType &r, const VectorType &v) { ++...
    method intersectObjectObject (line 70) | bool intersectObjectObject(const BallType &b, const VectorType &v){
    method minimumOnVolume (line 77) | double minimumOnVolume(const BoxType &r) { ++calls; return r.squaredEx...
    method minimumOnObject (line 78) | double minimumOnObject(const BallType &b) { ++calls; return (std::max)...
    method minimumOnVolumeVolume (line 79) | double minimumOnVolumeVolume(const BoxType &r1, const BoxType &r2) { +...
    method minimumOnVolumeObject (line 80) | double minimumOnVolumeObject(const BoxType &r, const BallType &b) { ++...
    method minimumOnObjectVolume (line 81) | double minimumOnObjectVolume(const BallType &b, const BoxType &r) { ++...
    method minimumOnObjectObject (line 82) | double minimumOnObjectObject(const BallType &b1, const BallType &b2){ ...
    method minimumOnVolumeObject (line 83) | double minimumOnVolumeObject(const BoxType &r, const VectorType &v) { ...
    method minimumOnObjectObject (line 84) | double minimumOnObjectObject(const BallType &b, const VectorType &v){ ...
  type TreeTest (line 93) | struct TreeTest
    method testIntersect1 (line 101) | void testIntersect1()
    method testMinimize1 (line 120) | void testMinimize1()
    method testIntersect2 (line 141) | void testIntersect2()
    method testMinimize2 (line 166) | void testMinimize2()
  function EIGEN_DECLARE_TEST (line 195) | EIGEN_DECLARE_TEST(BVH)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/EulerAngles.cpp
  function verifyIsApprox (line 18) | bool verifyIsApprox(const Eigen::EulerAngles<Scalar, System>& a, const E...
  function verify_euler (line 35) | void verify_euler(const EulerAngles<Scalar, EulerSystem>& e)
  function verify_euler_vec (line 138) | void verify_euler_vec(const Matrix<Scalar,3,1>& ea)
  function verify_euler_all_neg (line 144) | void verify_euler_all_neg(const Matrix<Scalar,3,1>& ea)
  function check_all_var (line 157) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function check_singular_cases (line 175) | void check_singular_cases(const Scalar& singularBeta)
  function eulerangles_manual (line 197) | void eulerangles_manual()
  function eulerangles_rand (line 229) | void eulerangles_rand()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(EulerAngles)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/FFTW.cpp
  function RandomCpx (line 14) | std::complex<T> RandomCpx() { return std::complex<T>( (T)(rand()/(T)RAND...
  function promote (line 21) | complex<long double>  promote(complex<T> x) { return complex<long double...
  function promote (line 23) | complex<long double>  promote(float x) { return complex<long double>((lo...
  function promote (line 24) | complex<long double>  promote(double x) { return complex<long double>((l...
  function promote (line 25) | complex<long double>  promote(long double x) { return complex<long doubl...
  function fft_rmse (line 29) | long double fft_rmse( const VT1 & fftbuf,const VT2 & timebuf)
  function dif_rmse (line 51) | long double dif_rmse( const VT1 buf1,const VT2 buf2)
  type VectorType (line 65) | struct VectorType
  type VectorType<StdVectorContainer,Scalar> (line 67) | struct VectorType<StdVectorContainer,Scalar>
  type VectorType<EigenVectorContainer,Scalar> (line 72) | struct VectorType<EigenVectorContainer,Scalar>
  function test_scalar_generic (line 78) | void test_scalar_generic(int nfft)
  function test_scalar (line 133) | void test_scalar(int nfft)
  function test_complex_generic (line 141) | void test_complex_generic(int nfft)
  function test_complex (line 175) | void test_complex(int nfft)
  function test_return_by_value (line 211) | void test_return_by_value(int len)
  function EIGEN_DECLARE_TEST (line 228) | EIGEN_DECLARE_TEST(FFTW)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/NonLinearOptimization.cpp
  function fcn_chkder (line 27) | int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int if...
  function testChkder (line 70) | void testChkder()
  type Functor (line 117) | struct Functor
    method Functor (line 130) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 131) | Functor(int inputs, int values) : m_inputs(inputs), m_values(values) {}
    method inputs (line 133) | int inputs() const { return m_inputs; }
    method values (line 134) | int values() const { return m_values; }
  type lmder_functor (line 140) | struct lmder_functor : Functor<double>
    method lmder_functor (line 142) | lmder_functor(void): Functor<double>(3,15) {}
    method df (line 159) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 176) | void testLmder1()
  function testLmder (line 203) | void testLmder()
  type hybrj_functor (line 250) | struct hybrj_functor : Functor<double>
    method hybrj_functor (line 252) | hybrj_functor(void) : Functor<double>(9,9) {}
    method df (line 270) | int df(const VectorXd &x, MatrixXd &fjac)
  function testHybrj1 (line 288) | void testHybrj1()
  function testHybrj (line 319) | void testHybrj()
  type hybrd_functor (line 354) | struct hybrd_functor : Functor<double>
    method hybrd_functor (line 356) | hybrd_functor(void) : Functor<double>(9,9) {}
  function testHybrd1 (line 376) | void testHybrd1()
  function testHybrd (line 402) | void testHybrd()
  type lmstr_functor (line 436) | struct lmstr_functor : Functor<double>
    method lmstr_functor (line 438) | lmstr_functor(void) : Functor<double>(3,15) {}
    method df (line 458) | int df(const VectorXd &x, VectorXd &jac_row, VectorXd::Index rownb)
  function testLmstr1 (line 476) | void testLmstr1()
  function testLmstr (line 504) | void testLmstr()
  type lmdif_functor (line 534) | struct lmdif_functor : Functor<double>
    method lmdif_functor (line 536) | lmdif_functor(void) : Functor<double>(3,15) {}
  function testLmdif1 (line 559) | void testLmdif1()
  function testLmdif (line 589) | void testLmdif()
  type chwirut2_functor (line 637) | struct chwirut2_functor : Functor<double>
    method chwirut2_functor (line 639) | chwirut2_functor(void) : Functor<double>(3,54) {}
    method df (line 654) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 674) | void testNistChwirut2(void)
  type misra1a_functor (line 722) | struct misra1a_functor : Functor<double>
    method misra1a_functor (line 724) | misra1a_functor(void) : Functor<double>(2,14) {}
    method df (line 736) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 752) | void testNistMisra1a(void)
  type hahn1_functor (line 794) | struct hahn1_functor : Functor<double>
    method hahn1_functor (line 796) | hahn1_functor(void) : Functor<double>(7,236) {}
    method df (line 815) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 840) | void testNistHahn1(void)
  type misra1d_functor (line 893) | struct misra1d_functor : Functor<double>
    method misra1d_functor (line 895) | misra1d_functor(void) : Functor<double>(2,14) {}
    method df (line 907) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 924) | void testNistMisra1d(void)
  type lanczos1_functor (line 967) | struct lanczos1_functor : Functor<double>
    method lanczos1_functor (line 969) | lanczos1_functor(void) : Functor<double>(6,24) {}
    method df (line 980) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 1000) | void testNistLanczos1(void)
  type rat42_functor (line 1053) | struct rat42_functor : Functor<double>
    method rat42_functor (line 1055) | rat42_functor(void) : Functor<double>(3,9) {}
    method df (line 1068) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 1086) | void testNistRat42(void)
  type MGH10_functor (line 1130) | struct MGH10_functor : Functor<double>
    method MGH10_functor (line 1132) | MGH10_functor(void) : Functor<double>(3,16) {}
    method df (line 1143) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 1162) | void testNistMGH10(void)
  type BoxBOD_functor (line 1207) | struct BoxBOD_functor : Functor<double>
    method BoxBOD_functor (line 1209) | BoxBOD_functor(void) : Functor<double>(2,6) {}
    method df (line 1220) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 1236) | void testNistBoxBOD(void)
  type MGH17_functor (line 1284) | struct MGH17_functor : Functor<double>
    method MGH17_functor (line 1286) | MGH17_functor(void) : Functor<double>(5,33) {}
    method df (line 1297) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 1316) | void testNistMGH17(void)
  type MGH09_functor (line 1369) | struct MGH09_functor : Functor<double>
    method MGH09_functor (line 1371) | MGH09_functor(void) : Functor<double>(4,11) {}
    method df (line 1384) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1404) | void testNistMGH09(void)
  type Bennett5_functor (line 1454) | struct Bennett5_functor : Functor<double>
    method Bennett5_functor (line 1456) | Bennett5_functor(void) : Functor<double>(3,154) {}
    method df (line 1467) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1488) | void testNistBennett5(void)
  type thurber_functor (line 1533) | struct thurber_functor : Functor<double>
    method thurber_functor (line 1535) | thurber_functor(void) : Functor<double>(7,37) {}
    method df (line 1549) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1573) | void testNistThurber(void)
  type rat43_functor (line 1630) | struct rat43_functor : Functor<double>
    method rat43_functor (line 1632) | rat43_functor(void) : Functor<double>(4,15) {}
    method df (line 1643) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1663) | void testNistRat43(void)
  type eckerle4_functor (line 1716) | struct eckerle4_functor : Functor<double>
    method eckerle4_functor (line 1718) | eckerle4_functor(void) : Functor<double>(3,35) {}
    method df (line 1729) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1748) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1792) | EIGEN_DECLARE_TEST(NonLinearOptimization)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/NumericalDiff.cpp
  type Functor (line 13) | struct Functor
    method Functor (line 26) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 27) | Functor(int inputs_, int values_) : m_inputs(inputs_), m_values(values...
    method inputs (line 29) | int inputs() const { return m_inputs; }
    method values (line 30) | int values() const { return m_values; }
  type my_functor (line 34) | struct my_functor : Functor<double>
    method my_functor (line 36) | my_functor(void): Functor<double>(3,15) {}
    method actual_df (line 53) | int actual_df(const VectorXd &x, MatrixXd &fjac) const
  function test_forward (line 70) | void test_forward()
  function test_central (line 91) | void test_central()
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(NumericalDiff)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/alignedvector3.cpp
  type Eigen (line 13) | namespace Eigen {
    function T (line 16) | T test_relative_error(const AlignedVector3<T> &a, const MatrixBase<Der...
  function alignedvector3 (line 24) | void alignedvector3()
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(alignedvector3)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/autodiff.cpp
  function EIGEN_DONT_INLINE (line 14) | EIGEN_DONT_INLINE Scalar foo(const Scalar& x, const Scalar& y)
  function EIGEN_DONT_INLINE (line 26) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 33) | struct TestFunc1
    method TestFunc1 (line 46) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 47) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 49) | int inputs() const { return m_inputs; }
    method values (line 50) | int values() const { return m_values; }
  type integratorFunctor (line 112) | struct integratorFunctor
    method integratorFunctor (line 120) | integratorFunctor(const Scalar gain) : _gain(gain) {}
    method integratorFunctor (line 121) | integratorFunctor(const integratorFunctor& f) : _gain(f._gain) {}
  function forward_jacobian_cpp11 (line 157) | void forward_jacobian_cpp11(const Func& f)
  function forward_jacobian (line 191) | void forward_jacobian(const Func& f)
  function test_autodiff_scalar (line 216) | void test_autodiff_scalar()
  function test_autodiff_vector (line 229) | void test_autodiff_vector()
  function test_autodiff_jacobian (line 243) | void test_autodiff_jacobian()
  function test_autodiff_hessian (line 257) | void test_autodiff_hessian()
  function bug_1222 (line 300) | double bug_1222() {
  function bug_1223 (line 311) | double bug_1223() {
  function bug_1260 (line 330) | void bug_1260() {
  function bug_1261 (line 337) | double bug_1261() {
  function bug_1264 (line 347) | double bug_1264() {
  function bug_1281 (line 356) | double bug_1281() {
  function EIGEN_DECLARE_TEST (line 372) | EIGEN_DECLARE_TEST(autodiff)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/autodiff_scalar.cpp
  function check_atan2 (line 18) | void check_atan2()
  function check_hyperbolic_functions (line 39) | void check_hyperbolic_functions()
  function check_limits_specialization (line 76) | void check_limits_specialization()
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(autodiff_scalar)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/bessel_functions.cpp
  function verify_component_wise (line 14) | void verify_component_wise(const X& x, const Y& y)
  function array_bessel_functions (line 28) | void array_bessel_functions()
  function EIGEN_DECLARE_TEST (line 366) | EIGEN_DECLARE_TEST(bessel_functions)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_eventcount.cpp
  function rand_reentrant (line 17) | int rand_reentrant(unsigned int* s) {
  function test_basic_eventcount (line 26) | static void test_basic_eventcount()
  type TestQueue (line 41) | struct TestQueue {
    method TestQueue (line 45) | TestQueue() : val_() {}
    method Push (line 49) | bool Push() {
    method Pop (line 60) | bool Pop() {
    method Empty (line 71) | bool Empty() { return val_.load(std::memory_order_relaxed) == 0; }
  function test_stress_eventcount (line 79) | static void test_stress_eventcount()
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_eventcount)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_maxsizevector.cpp
  type Foo (line 7) | struct Foo
    method Foo (line 13) | Foo(int x=0) : dummy(x)
    method Foo (line 23) | Foo(const Foo&)
    class Fail (line 36) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 44) | EIGEN_DECLARE_TEST(cxx11_maxsizevector)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_meta.cpp
  type dummy_a (line 50) | struct dummy_a {}
  type dummy_b (line 51) | struct dummy_b {}
  type dummy_c (line 52) | struct dummy_c {}
  type dummy_d (line 53) | struct dummy_d {}
  type dummy_e (line 54) | struct dummy_e {}
  type dummy_op (line 57) | struct dummy_op
  type dummy_op<dummy_a, dummy_b> (line 58) | struct dummy_op<dummy_a, dummy_b> { typedef dummy_c type; }
  type dummy_op<dummy_b, dummy_a> (line 59) | struct dummy_op<dummy_b, dummy_a> { typedef dummy_d type; }
  type dummy_op<dummy_b, dummy_c> (line 60) | struct dummy_op<dummy_b, dummy_c> { typedef dummy_a type; }
  type dummy_op<dummy_c, dummy_b> (line 61) | struct dummy_op<dummy_c, dummy_b> { typedef dummy_d type; }
  type dummy_op<dummy_c, dummy_a> (line 62) | struct dummy_op<dummy_c, dummy_a> { typedef dummy_b type; }
  type dummy_op<dummy_a, dummy_c> (line 63) | struct dummy_op<dummy_a, dummy_c> { typedef dummy_d type; }
  type dummy_op<dummy_a, dummy_a> (line 64) | struct dummy_op<dummy_a, dummy_a> { typedef dummy_e type; }
  type dummy_op<dummy_b, dummy_b> (line 65) | struct dummy_op<dummy_b, dummy_b> { typedef dummy_e type; }
  type dummy_op<dummy_c, dummy_c> (line 66) | struct dummy_op<dummy_c, dummy_c> { typedef dummy_e type; }
  type dummy_test (line 68) | struct dummy_test { constexpr static bool value = false; constexpr stati...
  type dummy_test<dummy_a, dummy_a> (line 69) | struct dummy_test<dummy_a, dummy_a>     { constexpr static bool value = ...
  type dummy_test<dummy_b, dummy_b> (line 70) | struct dummy_test<dummy_b, dummy_b>     { constexpr static bool value = ...
  type dummy_test<dummy_c, dummy_c> (line 71) | struct dummy_test<dummy_c, dummy_c>     { constexpr static bool value = ...
  type times2_op (line 73) | struct times2_op { template<typename A> static A run(A v) { return v * 2...
    method A (line 73) | static A run(A v) { return v * 2; }
  type dummy_inst (line 75) | struct dummy_inst
    method dummy_inst (line 79) | dummy_inst() : c(0) {}
    method dummy_inst (line 80) | explicit dummy_inst(int) : c(1) {}
    method dummy_inst (line 81) | dummy_inst(int, int) : c(2) {}
    method dummy_inst (line 82) | dummy_inst(int, int, int) : c(3) {}
    method dummy_inst (line 83) | dummy_inst(int, int, int, int) : c(4) {}
    method dummy_inst (line 84) | dummy_inst(int, int, int, int, int) : c(5) {}
  function test_gen_numeric_list (line 87) | static void test_gen_numeric_list()
  function test_concat (line 132) | static void test_concat()
  function test_slice (line 159) | static void test_slice()
  function test_get (line 202) | static void test_get()
  function test_id_helper (line 222) | static void test_id_helper(dummy_a a, dummy_a b, dummy_a c)
  function test_id_numeric (line 230) | static void test_id_numeric()
  function test_id_type (line 236) | static void test_id_type()
  function test_id (line 241) | static void test_id()
  function test_is_same_gf (line 249) | static void test_is_same_gf()
  function test_apply_op (line 257) | static void test_apply_op()
  function test_contained_in_list (line 264) | static void test_contained_in_list()
  function test_arg_reductions (line 287) | static void test_arg_reductions()
  function test_array_reverse_and_reduce (line 295) | static void test_array_reverse_and_reduce()
  function test_array_zip_and_apply (line 310) | static void test_array_zip_and_apply()
  function test_array_misc (line 327) | static void test_array_misc()
  function EIGEN_DECLARE_TEST (line 343) | EIGEN_DECLARE_TEST(cxx11_meta)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_non_blocking_thread_pool.cpp
  function test_create_destroy_empty_pool (line 16) | static void test_create_destroy_empty_pool()
  function test_parallelism (line 26) | static void test_parallelism(bool allow_spinning)
  function test_cancel (line 105) | static void test_cancel()
  function test_pool_partitions (line 121) | static void test_pool_partitions() {
  function EIGEN_DECLARE_TEST (line 173) | EIGEN_DECLARE_TEST(cxx11_non_blocking_thread_pool)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_runqueue.cpp
  function rand_reentrant (line 19) | int rand_reentrant(unsigned int* s) {
  function test_basic_runqueue (line 28) | void test_basic_runqueue()
  function test_empty_runqueue (line 120) | void test_empty_runqueue()
  function test_stress_runqueue (line 160) | void test_stress_runqueue()
  function EIGEN_DECLARE_TEST (line 230) | EIGEN_DECLARE_TEST(cxx11_runqueue)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_argmax.cpp
  function test_simple_index_tuples (line 20) | static void test_simple_index_tuples()
  function test_index_tuples_dim (line 37) | static void test_index_tuples_dim()
  function test_argmax_tuple_reducer (line 55) | static void test_argmax_tuple_reducer()
  function test_argmin_tuple_reducer (line 87) | static void test_argmin_tuple_reducer()
  function test_simple_argmax (line 119) | static void test_simple_argmax()
  function test_simple_argmin (line 140) | static void test_simple_argmin()
  function test_argmax_dim (line 161) | static void test_argmax_dim()
  function test_argmin_dim (line 219) | static void test_argmin_dim()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_argmax_sycl.cpp
  function test_sycl_simple_argmax (line 31) | static void test_sycl_simple_argmax(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmax_dim (line 68) | static void test_sycl_argmax_dim(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmin_dim (line 156) | static void test_sycl_argmin_dim(const Eigen::SyclDevice& sycl_device) {
  function sycl_argmax_test_per_device (line 243) | void sycl_argmax_test_per_device(const Device_Selector& d) {
  function EIGEN_DECLARE_TEST (line 254) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_assign.cpp
  function test_1d (line 17) | static void test_1d()
  function test_2d (line 72) | static void test_2d()
  function test_3d (line 135) | static void test_3d()
  function test_same_type (line 189) | static void test_same_type()
  function test_auto_resize (line 231) | static void test_auto_resize()
  function test_compound_assign (line 256) | static void test_compound_assign()
  function test_std_initializers_tensor (line 288) | static void test_std_initializers_tensor() {
  function EIGEN_DECLARE_TEST (line 361) | EIGEN_DECLARE_TEST(cxx11_tensor_assign)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_block_access.cpp
  function TensorOpCost (line 24) | static TensorOpCost zeroCost() { return {0, 0, 0}; }
  function T (line 27) | static const T& choose(int layout, const T& col, const T& row) {
  function TensorBlockShapeType (line 31) | static TensorBlockShapeType RandomShape() {
  function RandomTargetSize (line 38) | static size_t RandomTargetSize(const DSizes<Index, NumDims>& dims) {
  function RandomDims (line 43) | static DSizes<Index, NumDims> RandomDims() {
  function T (line 52) | static T* GenerateRandomData(const Index& size) {
  function Debug (line 61) | static void Debug(DSizes<Index, NumDims> dims) {
  function test_block_mapper_sanity (line 69) | static void test_block_mapper_sanity()
  function UpdateCoeffSet (line 103) | static void UpdateCoeffSet(
  function test_block_mapper_maps_every_element (line 124) | static void test_block_mapper_maps_every_element() {
  function Index (line 153) | static Index GetInputIndex(Index output_index,
  function ComputeStrides (line 178) | static array<Index, NumDims> ComputeStrides(
  class EqualityChecker (line 196) | class EqualityChecker
    method check_recursive (line 200) | void check_recursive(const Scalar* input, const Scalar* output, int de...
    method EqualityChecker (line 214) | EqualityChecker(const Scalar* input_data_,
  function test_uniform_block_shape (line 229) | static void test_uniform_block_shape()
  function test_skewed_inner_dim_block_shape (line 356) | static void test_skewed_inner_dim_block_shape()
  function test_empty_dims (line 508) | static void test_empty_dims(const internal::TensorBlockShapeType block_s...
  function EIGEN_DECLARE_TEST (line 566) | EIGEN_DECLARE_TEST(cxx11_tensor_block_access) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_block_eval.cpp
  function RandomDims (line 20) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  type TensorBlockParams (line 31) | struct TensorBlockParams {
  function RandomBlock (line 38) | static TensorBlockParams<NumDims> RandomBlock(DSizes<Index, NumDims> dims,
  function SkewedInnerBlock (line 62) | static TensorBlockParams<NumDims> SkewedInnerBlock(
  function FixedSizeBlock (line 100) | static TensorBlockParams<NumDims> FixedSizeBlock(DSizes<Index, NumDims> ...
  function NByOne (line 107) | inline Eigen::IndexList<Index, Eigen::type2index<1>> NByOne(Index n) {
  function OneByM (line 112) | inline Eigen::IndexList<Eigen::type2index<1>, Index> OneByM(Index m) {
  function VerifyBlockEvaluator (line 124) | static void VerifyBlockEvaluator(Expression expr, GenBlockParams gen_blo...
  function test_eval_tensor_block (line 208) | static void test_eval_tensor_block() {
  function test_eval_tensor_unary_expr_block (line 219) | static void test_eval_tensor_unary_expr_block() {
  function test_eval_tensor_binary_expr_block (line 229) | static void test_eval_tensor_binary_expr_block() {
  function test_eval_tensor_binary_with_unary_expr_block (line 240) | static void test_eval_tensor_binary_with_unary_expr_block() {
  function test_eval_tensor_broadcast (line 252) | static void test_eval_tensor_broadcast() {
  function test_eval_tensor_reshape (line 282) | static void test_eval_tensor_reshape() {
  function test_eval_tensor_cast (line 301) | static void test_eval_tensor_cast() {
  function test_eval_tensor_select (line 312) | static void test_eval_tensor_select() {
  function test_eval_tensor_padding (line 327) | static void test_eval_tensor_padding() {
  function test_eval_tensor_chipping (line 367) | static void test_eval_tensor_chipping() {
  type SimpleTensorGenerator (line 404) | struct SimpleTensorGenerator {
    method T (line 405) | T operator()(const array<Index, NumDims>& coords) const {
  type SimpleTensorGenerator<bool, NumDims> (line 416) | struct SimpleTensorGenerator<bool, NumDims> {
  function test_eval_tensor_generator (line 428) | static void test_eval_tensor_generator() {
  function test_eval_tensor_reverse (line 444) | static void test_eval_tensor_reverse() {
  function test_eval_tensor_slice (line 462) | static void test_eval_tensor_slice() {
  function test_eval_tensor_shuffle (line 487) | static void test_eval_tensor_shuffle() {
  function test_eval_tensor_reshape_with_bcast (line 514) | static void test_eval_tensor_reshape_with_bcast() {
  function test_eval_tensor_forced_eval (line 537) | static void test_eval_tensor_forced_eval() {
  function test_eval_tensor_chipping_of_bcast (line 560) | static void test_eval_tensor_chipping_of_bcast() {
  function VerifyBlockAssignment (line 593) | static void VerifyBlockAssignment(Tensor<T, NumDims, Layout>& tensor,
  function test_assign_to_tensor (line 650) | static void test_assign_to_tensor() {
  function test_assign_to_tensor_reshape (line 663) | static void test_assign_to_tensor_reshape() {
  function test_assign_to_tensor_chipping (line 686) | static void test_assign_to_tensor_chipping() {
  function test_assign_to_tensor_slice (line 717) | static void test_assign_to_tensor_slice() {
  function test_assign_to_tensor_shuffle (line 747) | static void test_assign_to_tensor_shuffle() {
  function EIGEN_DECLARE_TEST (line 827) | EIGEN_DECLARE_TEST(cxx11_tensor_block_eval) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_block_io.cpp
  function RandomDims (line 17) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  function RandomBlockShape (line 25) | static internal::TensorBlockShapeType RandomBlockShape() {
  function RandomTargetBlockSize (line 32) | static size_t RandomTargetBlockSize(const DSizes<Index, NumDims>& dims) {
  function Index (line 37) | static Index GetInputIndex(Index output_index,
  function test_block_io_copy_data_from_source_to_target (line 62) | static void test_block_io_copy_data_from_source_to_target() {
  function test_block_io_copy_using_reordered_dimensions (line 121) | static void test_block_io_copy_using_reordered_dimensions() {
  function test_block_io_copy_using_reordered_dimensions_do_not_squeeze (line 221) | static void test_block_io_copy_using_reordered_dimensions_do_not_squeeze...
  function test_block_io_copy_using_reordered_dimensions_squeeze (line 268) | static void test_block_io_copy_using_reordered_dimensions_squeeze() {
  function test_block_io_zero_stride (line 315) | static void test_block_io_zero_stride() {
  function test_block_io_squeeze_ones (line 364) | static void test_block_io_squeeze_ones() {
  function EIGEN_DECLARE_TEST (line 428) | EIGEN_DECLARE_TEST(cxx11_tensor_block_io) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp
  function test_broadcast_sycl_fixed (line 29) | static void test_broadcast_sycl_fixed(const Eigen::SyclDevice &sycl_devi...
  function test_broadcast_sycl (line 80) | static void test_broadcast_sycl(const Eigen::SyclDevice &sycl_device){
  function sycl_broadcast_test_per_device (line 130) | void sycl_broadcast_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcast_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_broadcasting.cpp
  function test_simple_broadcasting (line 17) | static void test_simple_broadcasting()
  function test_vectorized_broadcasting (line 70) | static void test_vectorized_broadcasting()
  function test_static_broadcasting (line 122) | static void test_static_broadcasting()
  function test_fixed_size_broadcasting (line 179) | static void test_fixed_size_broadcasting()
  function test_simple_broadcasting_one_by_n (line 202) | static void test_simple_broadcasting_one_by_n()
  function test_simple_broadcasting_n_by_one (line 231) | static void test_simple_broadcasting_n_by_one()
  function test_simple_broadcasting_one_by_n_by_one_1d (line 260) | static void test_simple_broadcasting_one_by_n_by_one_1d()
  function test_simple_broadcasting_one_by_n_by_one_2d (line 285) | static void test_simple_broadcasting_one_by_n_by_one_2d()
  function EIGEN_DECLARE_TEST (line 313) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcasting)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_builtins_sycl.cpp
  type cl (line 30) | namespace cl {
    type sycl (line 31) | namespace sycl {
      function T (line 32) | T abs(T x) { return cl::sycl::fabs(x); }
      function T (line 33) | T square(T x) { return x * x; }
      function T (line 34) | T cube(T x) { return x * x * x; }
      function T (line 35) | T inverse(T x) { return T(1) / x; }
      function T (line 36) | T cwiseMax(T x, T y) { return cl::sycl::max(x, y); }
      function T (line 37) | T cwiseMin(T x, T y) { return cl::sycl::min(x, y); }
  type EqualAssignement (line 41) | struct EqualAssignement {
  type PlusEqualAssignement (line 46) | struct PlusEqualAssignement {
  function test_unary_builtins_for_scalar (line 53) | void test_unary_builtins_for_scalar(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins_for_assignement (line 141) | void test_unary_builtins_for_assignement(const Eigen::SyclDevice& sycl_d...
  function test_unary_builtins_return_bool (line 164) | void test_unary_builtins_return_bool(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins (line 190) | void test_unary_builtins(const Eigen::SyclDevice& sycl_device,
  function test_builtin_unary_sycl (line 205) | static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device) {
  function test_binary_builtins_func (line 216) | void test_binary_builtins_func(const Eigen::SyclDevice& sycl_device,
  function test_binary_builtins_fixed_arg2 (line 251) | void test_binary_builtins_fixed_arg2(const Eigen::SyclDevice& sycl_device,

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_casts.cpp
  function test_simple_cast (line 18) | static void test_simple_cast()
  function test_vectorized_cast (line 39) | static void test_vectorized_cast()
  function test_float_to_int_cast (line 60) | static void test_float_to_int_cast()
  function test_big_to_small_type_cast (line 79) | static void test_big_to_small_type_cast()
  function test_small_to_big_type_cast (line 94) | static void test_small_to_big_type_cast()
  function test_type_cast (line 109) | static void test_type_cast() {
  type test_cast_runner (line 130) | struct test_cast_runner {
    method run (line 131) | static void run() {
  type test_cast_runner<Scalar, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 152) | struct test_cast_runner<Scalar, typename internal::enable_if<NumTraits<S...
    method run (line 153) | static void run() {
  function EIGEN_DECLARE_TEST (line 162) | EIGEN_DECLARE_TEST(cxx11_tensor_casts)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_chipping.cpp
  function test_simple_chip (line 17) | static void test_simple_chip()
  function test_dynamic_chip (line 102) | static void test_dynamic_chip()
  function test_chip_in_expr (line 185) | static void test_chip_in_expr() {
  function test_chip_as_lvalue (line 217) | static void test_chip_as_lvalue()
  function test_chip_raw_data_col_major (line 343) | static void test_chip_raw_data_col_major()
  function test_chip_raw_data_row_major (line 378) | static void test_chip_raw_data_row_major()
  function EIGEN_DECLARE_TEST (line 413) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_chipping_sycl.cpp
  function test_static_chip_sycl (line 29) | static void test_static_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_dynamic_chip_sycl (line 178) | static void test_dynamic_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_chip_in_expr (line 326) | static void test_chip_in_expr(const Eigen::SyclDevice& sycl_device) {
  function test_chip_as_lvalue_sycl (line 401) | static void test_chip_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_chipping_test_per_device (line 606) | void sycl_chipping_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 618) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_comparisons.cpp
  function test_orderings (line 17) | static void test_orderings()
  function test_equality (line 47) | static void test_equality()
  function EIGEN_DECLARE_TEST (line 80) | EIGEN_DECLARE_TEST(cxx11_tensor_comparisons)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_concatenation.cpp
  function test_dimension_failures (line 17) | static void test_dimension_failures()
  function test_static_dimension_failure (line 37) | static void test_static_dimension_failure()
  function test_simple_concatenation (line 63) | static void test_simple_concatenation()
  function test_concatenation_as_lvalue (line 112) | static void test_concatenation_as_lvalue()
  function EIGEN_DECLARE_TEST (line 132) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_concatenation_sycl.cpp
  function test_simple_concatenation (line 26) | static void test_simple_concatenation(const Eigen::SyclDevice& sycl_device)
  function test_concatenation_as_lvalue (line 116) | static void test_concatenation_as_lvalue(const Eigen::SyclDevice& sycl_d...
  function tensorConcat_perDevice (line 169) | void tensorConcat_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_const.cpp
  function test_simple_assign (line 16) | static void test_simple_assign()
  function test_assign_of_const_tensor (line 35) | static void test_assign_of_const_tensor()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cxx11_tensor_const)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_contract_sycl.cpp
  function test_sycl_contraction (line 36) | void static test_sycl_contraction(const Device &sycl_device, IndexType m...
  function test_sycl_contraction_m (line 105) | void test_sycl_contraction_m(const Device &sycl_device) {
  function test_sycl_contraction_k (line 114) | void test_sycl_contraction_k(const Device &sycl_device) {
  function test_sycl_contraction_n (line 123) | void test_sycl_contraction_n(const Device &sycl_device) {
  function test_sycl_contraction_sizes (line 132) | void test_sycl_contraction_sizes(const Device &sycl_device) {
  function test_no_out_of_bounds (line 154) | void static test_no_out_of_bounds(const Device &sycl_device, IndexType m...
  function test_scalar (line 257) | void test_scalar(const Device &sycl_device, IndexType m_size, IndexType ...
  function contraction_batch (line 320) | void contraction_batch(const Device &sycl_device, IndexType m_size,
  function contraction_rhs_transposed (line 394) | void contraction_rhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_lhs_transposed (line 463) | void contraction_lhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_both_transposed (line 529) | void contraction_both_transposed(const Device &sycl_device, IndexType m_...
  function tensorOutofBound (line 595) | void inline tensorOutofBound(const Dev &sycl_device) {
  function tensorTensor (line 630) | void inline tensorTensor(const Dev &sycl_device) {
  function tensorTensor_m (line 649) | void inline tensorTensor_m(const Dev &sycl_device) {
  function tensorTensor_n (line 667) | void inline tensorTensor_n(const Dev &sycl_device) {
  function tensorTensor_k (line 685) | void inline tensorTensor_k(const Dev &sycl_device) {
  function tensorTensor_sizes (line 702) | void inline tensorTensor_sizes(const Dev &sycl_device) {
  function vectorVector (line 719) | void inline vectorVector(const Dev &sycl_device) {
  function vectorTensor (line 747) | void inline vectorTensor(const Dev &sycl_device) {
  function tensorVector (line 789) | void inline tensorVector(const Dev &sycl_device) {
  function tensorScalar (line 837) | void inline tensorScalar(const Dev &sycl_device) {
  function skinnyTensor_row (line 858) | void inline skinnyTensor_row(const Dev &sycl_device) {
  function skinnyTensor_col (line 881) | void inline skinnyTensor_col(const Dev &sycl_device) {
  function tensor_contraction_batch_per_device (line 904) | void inline tensor_contraction_batch_per_device(const Dev &sycl_device) {
  function tensor_contraction_lhs_transposed_per_device (line 922) | void inline tensor_contraction_lhs_transposed_per_device(
  function tensor_contraction_rhs_transposed_per_device (line 951) | void inline tensor_contraction_rhs_transposed_per_device(
  function tensor_contraction_both_transposed_per_device (line 982) | void inline tensor_contraction_both_transposed_per_device(
  function EIGEN_DECLARE_TEST (line 1002) | EIGEN_DECLARE_TEST(cxx11_tensor_contract_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_contraction.cpp
  function test_evals (line 20) | static void test_evals()
  function test_scalar (line 82) | static void test_scalar()
  function test_multidims (line 101) | static void test_multidims()
  function test_holes (line 159) | static void test_holes() {
  function test_full_redux (line 193) | static void test_full_redux()
  function test_contraction_of_contraction (line 219) | static void test_contraction_of_contraction()
  function test_expr (line 252) | static void test_expr()
  function test_out_of_order_contraction (line 271) | static void test_out_of_order_contraction()
  function test_consistency (line 316) | static void test_consistency()
  function test_large_contraction (line 353) | static void test_large_contraction()
  function test_matrix_vector (line 385) | static void test_matrix_vector()
  function test_tensor_vector (line 413) | static void test_tensor_vector()
  function test_small_blocking_factors (line 437) | static void test_small_blocking_factors()
  function test_tensor_product (line 467) | static void test_tensor_product()
  function test_const_inputs (line 494) | static void test_const_inputs()
  type SqrtOutputKernel (line 515) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 517) | EIGEN_ALWAYS_INLINE void operator()(
  function test_large_contraction_with_output_kernel (line 530) | static void test_large_contraction_with_output_kernel() {
  function EIGEN_DECLARE_TEST (line 563) | EIGEN_DECLARE_TEST(cxx11_tensor_contraction)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_convolution.cpp
  function test_evals (line 18) | static void test_evals()
  function test_expr (line 47) | static void test_expr()
  function test_modes (line 71) | static void test_modes() {
  function test_strides (line 117) | static void test_strides() {
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_convolution_sycl.cpp
  function test_larg_expr1D (line 36) | static void test_larg_expr1D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr2D (line 97) | static void test_larg_expr2D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr3D (line 158) | static void test_larg_expr3D(const Eigen::SyclDevice& sycl_device)
  function test_evals (line 219) | static void test_evals(const Eigen::SyclDevice& sycl_device)
  function test_expr (line 265) | static void test_expr(const Eigen::SyclDevice& sycl_device)
  function test_modes (line 314) | static void test_modes(const Eigen::SyclDevice& sycl_device){
  function test_strides (line 403) | static void test_strides(const Eigen::SyclDevice& sycl_device){
  function tensorConvolutionPerDevice (line 446) | void tensorConvolutionPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 465) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_custom_index.cpp
  function test_map_as_index (line 21) | static void test_map_as_index()
  function test_matrix_as_index (line 43) | static void test_matrix_as_index()
  function test_varlist_as_index (line 61) | static void test_varlist_as_index()
  function test_sizes_as_index (line 76) | static void test_sizes_as_index()
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_index) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_custom_op.cpp
  type InsertZeros (line 17) | struct InsertZeros {
    method dimensions (line 18) | DSizes<DenseIndex, 2> dimensions(const Tensor<float, 2>& input) const {
    method eval (line 26) | void eval(const Tensor<float, 2>& input, Output& output, const Device&...
  function test_custom_unary_op (line 39) | static void test_custom_unary_op()
  type BatchMatMul (line 61) | struct BatchMatMul {
    method dimensions (line 62) | DSizes<DenseIndex, 3> dimensions(const Tensor<float, 3>& input1, const...
    method eval (line 71) | void eval(const Tensor<float, 3>& input1, const Tensor<float, 3>& input2,
  function test_custom_binary_op (line 84) | static void test_custom_binary_op()
  function EIGEN_DECLARE_TEST (line 107) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_custom_op_sycl.cpp
  type InsertZeros (line 25) | struct InsertZeros {
    method dimensions (line 26) | DSizes<DenseIndex, 2> dimensions(const TensorType& input) const {
    method eval (line 34) | void eval(const TensorType& input, Output& output, const Device& devic...
  function test_custom_unary_op_sycl (line 48) | static void test_custom_unary_op_sycl(const Eigen::SyclDevice &sycl_device)
  type BatchMatMul (line 88) | struct BatchMatMul {
    method dimensions (line 89) | DSizes<DenseIndex, 3> dimensions(const TensorType& input1, const Tenso...
    method eval (line 98) | void eval(const TensorType& input1, const TensorType& input2,
  function test_custom_binary_op_sycl (line 111) | static void test_custom_binary_op_sycl(const Eigen::SyclDevice &sycl_dev...
  function custom_op_perDevice (line 157) | void custom_op_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 166) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
  function test_device_memory (line 26) | void test_device_memory(const Eigen::SyclDevice &sycl_device) {
  function test_device_exceptions (line 45) | void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
  function sycl_device_test_per_device (line 61) | void sycl_device_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(cxx11_tensor_device_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_dimension.cpp
  function test_dynamic_size (line 17) | static void test_dynamic_size()
  function test_fixed_size (line 30) | static void test_fixed_size()
  function test_match (line 40) | static void test_match()
  function test_rank_zero (line 51) | static void test_rank_zero()
  function test_index_type_promotion (line 63) | static void test_index_type_promotion() {
  function EIGEN_DECLARE_TEST (line 81) | EIGEN_DECLARE_TEST(cxx11_tensor_dimension)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_empty.cpp
  function test_empty_tensor (line 15) | static void test_empty_tensor()
  function test_empty_fixed_size_tensor (line 25) | static void test_empty_fixed_size_tensor()
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(cxx11_tensor_empty)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_executor.cpp
  function DefaultAssign (line 27) | static void DefaultAssign(Dst& dst, Expr expr) {
  function DeviceAssign (line 40) | static void DeviceAssign(Device& d, Dst& dst, Expr expr) {
  function RandomDims (line 49) | static array<Index, NumDims> RandomDims(int min_dim = 1, int max_dim = 2...
  function test_execute_unary_expr (line 59) | static void test_execute_unary_expr(Device d)
  function test_execute_binary_expr (line 87) | static void test_execute_binary_expr(Device d)
  function test_execute_broadcasting (line 118) | static void test_execute_broadcasting(Device d)
  function test_execute_chipping_rvalue (line 150) | static void test_execute_chipping_rvalue(Device d)
  function test_execute_chipping_lvalue (line 189) | static void test_execute_chipping_lvalue(Device d)
  function test_execute_shuffle_rvalue (line 241) | static void test_execute_shuffle_rvalue(Device d)
  function test_execute_shuffle_lvalue (line 279) | static void test_execute_shuffle_lvalue(Device d)
  function test_execute_reshape (line 315) | static void test_execute_reshape(Device d)
  function test_execute_slice_rvalue (line 355) | static void test_execute_slice_rvalue(Device d)
  function test_execute_slice_lvalue (line 395) | static void test_execute_slice_lvalue(Device d)
  function test_execute_broadcasting_of_forced_eval (line 438) | static void test_execute_broadcasting_of_forced_eval(Device d)
  type DummyGenerator (line 469) | struct DummyGenerator {
    method T (line 471) | T operator()(const array <Index, NumDims>& dims) const {
  function test_execute_generator_op (line 482) | static void test_execute_generator_op(Device d)
  function test_execute_reverse_rvalue (line 513) | static void test_execute_reverse_rvalue(Device d)
  function test_async_execute_unary_expr (line 548) | static void test_async_execute_unary_expr(Device d)
  function test_async_execute_binary_expr (line 581) | static void test_async_execute_binary_expr(Device d)
  function EIGEN_DECLARE_TEST (line 653) | EIGEN_DECLARE_TEST(cxx11_tensor_executor) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_expr.cpp
  function test_1d (line 19) | static void test_1d()
  function test_2d (line 71) | static void test_2d()
  function test_3d (line 112) | static void test_3d()
  function test_constants (line 166) | static void test_constants()
  function test_boolean (line 196) | static void test_boolean()
  function test_functors (line 224) | static void test_functors()
  function test_type_casting (line 254) | static void test_type_casting()
  function test_select (line 281) | static void test_select()
  function test_minmax_nan_propagation_templ (line 303) | void test_minmax_nan_propagation_templ() {
  function test_clip (line 421) | static void test_clip()
  function test_minmax_nan_propagation (line 441) | static void test_minmax_nan_propagation()
  function EIGEN_DECLARE_TEST (line 447) | EIGEN_DECLARE_TEST(cxx11_tensor_expr)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_fft.cpp
  function test_fft_2D_golden (line 16) | static void test_fft_2D_golden() {
  function test_fft_complex_input_golden (line 59) | static void test_fft_complex_input_golden() {
  function test_fft_real_input_golden (line 116) | static void test_fft_real_input_golden() {
  function test_fft_real_input_energy (line 179) | static void test_fft_real_input_energy() {
  function test_fft_non_power_of_2_round_trip (line 228) | static void test_fft_non_power_of_2_round_trip(int exponent) {
  function EIGEN_DECLARE_TEST (line 255) | EIGEN_DECLARE_TEST(cxx11_tensor_fft) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_fixed_size.cpp
  function test_0d (line 18) | static void test_0d()
  function test_1d (line 47) | static void test_1d()
  function test_tensor_map (line 106) | static void test_tensor_map()
  function test_2d (line 130) | static void test_2d()
  function test_3d (line 180) | static void test_3d()
  function test_array (line 226) | static void test_array()
  function EIGEN_DECLARE_TEST (line 253) | EIGEN_DECLARE_TEST(cxx11_tensor_fixed_size)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_forced_eval.cpp
  function test_simple (line 18) | static void test_simple()
  function test_const (line 49) | static void test_const()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
  function test_forced_eval_sycl (line 25) | void test_forced_eval_sycl(const Eigen::SyclDevice &sycl_device) {
  function tensorForced_evalperDevice (line 66) | void tensorForced_evalperDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 72) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_generator.cpp
  type Generator1D (line 14) | struct Generator1D {
    method Generator1D (line 15) | Generator1D() { }
  function test_1D (line 23) | static void test_1D()
  type Generator2D (line 34) | struct Generator2D {
    method Generator2D (line 35) | Generator2D() { }
  function test_2D (line 43) | static void test_2D()
  function test_gaussian (line 57) | static void test_gaussian()
  function EIGEN_DECLARE_TEST (line 83) | EIGEN_DECLARE_TEST(cxx11_tensor_generator)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_generator_sycl.cpp
  type Generator1D (line 25) | struct Generator1D {
    method Generator1D (line 26) | Generator1D() { }
  function test_1D_sycl (line 34) | static void test_1D_sycl(const Eigen::SyclDevice& sycl_device)
  type Generator2D (line 59) | struct Generator2D {
    method Generator2D (line 60) | Generator2D() { }
  function test_2D_sycl (line 68) | static void test_2D_sycl(const Eigen::SyclDevice& sycl_device)
  function test_gaussian_sycl (line 95) | static void test_gaussian_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_generator_test_per_device (line 132) | void sycl_generator_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 142) | EIGEN_DECLARE_TEST(cxx11_tensor_generator_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_ifft.cpp
  function test_1D_fft_ifft_invariant (line 18) | static void test_1D_fft_ifft_invariant(int sequence_length) {
  function test_2D_fft_ifft_invariant (line 40) | static void test_2D_fft_ifft_invariant(int dim0, int dim1) {
  function test_3D_fft_ifft_invariant (line 68) | static void test_3D_fft_ifft_invariant(int dim0, int dim1, int dim2) {
  function test_sub_fft_ifft_invariant (line 100) | static void test_sub_fft_ifft_invariant(int dim0, int dim1, int dim2, in...
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(cxx11_tensor_ifft) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_image_op_sycl.cpp
  function test_image_op_sycl (line 31) | static void test_image_op_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 90) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 96) | EIGEN_DECLARE_TEST(cxx11_tensor_image_op_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_image_patch.cpp
  function test_simple_patch (line 16) | void test_simple_patch()
  function test_patch_padding_valid (line 183) | void test_patch_padding_valid()
  function test_patch_padding_valid_same_value (line 259) | void test_patch_padding_valid_same_value()
  function test_patch_padding_same (line 332) | void test_patch_padding_same()
  function test_patch_padding_same_negative_padding_clip_to_zero (line 410) | void test_patch_padding_same_negative_padding_clip_to_zero() {
  function test_patch_no_extra_dim (line 459) | void test_patch_no_extra_dim()
  function test_imagenet_patches (line 607) | void test_imagenet_patches()
  function EIGEN_DECLARE_TEST (line 800) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_image_patch_sycl.cpp
  function test_simple_image_patch_sycl (line 27) | static void test_simple_image_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_padding_valid_sycl (line 259) | static void test_patch_padding_valid_sycl(const Eigen::SyclDevice& sycl_...
  function test_patch_padding_valid_same_value_sycl (line 365) | static void test_patch_padding_valid_same_value_sycl(const Eigen::SyclDe...
  function test_patch_padding_same_sycl (line 462) | static void test_patch_padding_same_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_no_extra_dim_sycl (line 567) | static void test_patch_no_extra_dim_sycl(const Eigen::SyclDevice& sycl_d...
  function test_imagenet_patches_sycl (line 777) | static void test_imagenet_patches_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_tensor_image_patch_test_per_device (line 1077) | void sycl_tensor_image_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 1087) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_index_list.cpp
  function test_static_index_list (line 16) | static void test_static_index_list()
  function test_type2index_list (line 48) | static void test_type2index_list()
  function test_type2indexpair_list (line 162) | static void test_type2indexpair_list()
  function test_dynamic_index_list (line 266) | static void test_dynamic_index_list()
  function test_mixed_index_list (line 298) | static void test_mixed_index_list()
  function test_dim_check (line 363) | static void test_dim_check()
  function EIGEN_DECLARE_TEST (line 375) | EIGEN_DECLARE_TEST(cxx11_tensor_index_list)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_inflation.cpp
  function test_simple_inflation (line 17) | static void test_simple_inflation()
  function EIGEN_DECLARE_TEST (line 77) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_inflation_sycl.cpp
  function test_simple_inflation_sycl (line 33) | void test_simple_inflation_sycl(const Eigen::SyclDevice &sycl_device) {
  function sycl_inflation_test_per_device (line 125) | void sycl_inflation_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_intdiv.cpp
  function test_signed_32bit (line 15) | void test_signed_32bit()
  function test_unsigned_32bit (line 50) | void test_unsigned_32bit()
  function test_signed_64bit (line 64) | void test_signed_64bit()
  function test_unsigned_64bit (line 78) | void test_unsigned_64bit()
  function test_powers_32bit (line 91) | void test_powers_32bit() {
  function test_powers_64bit (line 110) | void test_powers_64bit() {
  function test_specific (line 128) | void test_specific() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_tensor_intdiv)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_io.cpp
  function test_output_0d (line 17) | static void test_output_0d()
  function test_output_1d (line 31) | static void test_output_1d()
  function test_output_2d (line 53) | static void test_output_2d()
  function test_output_expr (line 71) | static void test_output_expr()
  function test_output_string (line 89) | static void test_output_string()
  function test_output_const (line 105) | static void test_output_const()
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(cxx11_tensor_io)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_layout_swap.cpp
  function test_simple_swap (line 16) | static void test_simple_swap()
  function test_swap_as_lvalue (line 36) | static void test_swap_as_lvalue()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_layout_swap_sycl.cpp
  function test_simple_swap_sycl (line 28) | static void test_simple_swap_sycl(const Eigen::SyclDevice& sycl_device)
  function test_swap_as_lvalue_sycl (line 71) | static void test_swap_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_tensor_layout_swap_test_per_device (line 115) | void sycl_tensor_layout_swap_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_lvalue.cpp
  function test_compound_assignment (line 18) | static void test_compound_assignment()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(cxx11_tensor_lvalue)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_map.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 35) | static void test_1d()
  function test_2d (line 69) | static void test_2d()
  function test_3d (line 116) | static void test_3d()
  function test_from_tensor (line 160) | static void test_from_tensor()
  function f (line 238) | static int f(const TensorMap<Tensor<int, 3> >& tensor) {
  function test_casting (line 246) | static void test_casting()
  function T (line 269) | static const T& add_const(T& value) {
  function test_0d_const_tensor (line 273) | static void test_0d_const_tensor()
  function test_0d_const_tensor_map (line 291) | static void test_0d_const_tensor_map()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(cxx11_tensor_map)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_math.cpp
  function test_tanh (line 17) | static void test_tanh()
  function test_sigmoid (line 29) | static void test_sigmoid()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(cxx11_tensor_math)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_math_sycl.cpp
  function test_tanh_sycl (line 31) | static void test_tanh_sycl(const Eigen::SyclDevice &sycl_device)
  function test_sigmoid_sycl (line 61) | static void test_sigmoid_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 92) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_math_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_mixed_indices.cpp
  function test_simple (line 15) | static void test_simple()
  function EIGEN_DECLARE_TEST (line 50) | EIGEN_DECLARE_TEST(cxx11_tensor_mixed_indices)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_morphing.cpp
  function test_simple_reshape (line 17) | static void test_simple_reshape()
  function test_static_reshape (line 45) | static void test_static_reshape() {
  function test_reshape_in_expr (line 67) | static void test_reshape_in_expr() {
  function test_reshape_as_lvalue (line 92) | static void test_reshape_as_lvalue()
  function test_simple_slice (line 116) | static void test_simple_slice()
  function test_const_slice (line 141) | static void test_const_slice()
  function test_slice_in_expr (line 152) | static void test_slice_in_expr() {
  function test_slice_as_lvalue (line 189) | static void test_slice_as_lvalue()
  function test_slice_raw_data (line 249) | static void test_slice_raw_data()
  function test_strided_slice (line 344) | static void test_strided_slice()
  function test_strided_slice_write (line 438) | static void test_strided_slice_write()
  function test_composition (line 464) | static void test_composition()
  function test_empty_slice (line 483) | static void test_empty_slice()
  function EIGEN_DECLARE_TEST (line 551) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_morphing_sycl.cpp
  function test_simple_reshape (line 32) | static void test_simple_reshape(const Eigen::SyclDevice& sycl_device)
  function test_reshape_as_lvalue (line 90) | static void test_reshape_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function test_simple_slice (line 138) | static void test_simple_slice(const Eigen::SyclDevice &sycl_device)
  function test_strided_slice_as_rhs_sycl (line 185) | static void test_strided_slice_as_rhs_sycl(const Eigen::SyclDevice &sycl...
  function test_strided_slice_write_sycl (line 260) | static void test_strided_slice_write_sycl(const Eigen::SyclDevice& sycl_...
  function To32BitDims (line 308) | Eigen::array<OutIndex, DSizes::count> To32BitDims(const DSizes& in) {
  function run_eigen (line 317) | int run_eigen(const SyclDevice& sycl_device) {
  function sycl_morphing_test_per_device (line 366) | void sycl_morphing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 381) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_move.cpp
  function calc_indices (line 18) | static void calc_indices(int i, int& x, int& y, int& z)
  function test_move (line 25) | static void test_move()
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(cxx11_tensor_move)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_notification.cpp
  function test_notification_single (line 18) | static void test_notification_single()
  function test_notification_multiple (line 42) | static void test_notification_multiple()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(cxx11_tensor_notification)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_of_complex.cpp
  function test_additions (line 19) | static void test_additions()
  function test_abs (line 35) | static void test_abs()
  function test_conjugate (line 51) | static void test_conjugate()
  function test_contractions (line 70) | static void test_contractions()
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(cxx11_tensor_of_complex)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_of_const_values.cpp
  function test_assign (line 17) | static void test_assign()
  function test_plus (line 53) | static void test_plus()
  function test_plus_equal (line 79) | static void test_plus_equal()
  function EIGEN_DECLARE_TEST (line 100) | EIGEN_DECLARE_TEST(cxx11_tensor_of_const_values)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_of_strings.cpp
  function test_assign (line 17) | static void test_assign()
  function test_concat (line 57) | static void test_concat()
  function test_slices (line 86) | static void test_slices()
  function test_additions (line 113) | static void test_additions()
  function test_initialization (line 134) | static void test_initialization()
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_of_strings)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_padding.cpp
  function test_simple_padding (line 17) | static void test_simple_padding()
  function test_padded_expr (line 52) | static void test_padded_expr()
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(cxx11_tensor_padding)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_padding_sycl.cpp
  function test_simple_padding (line 33) | static void test_simple_padding(const Eigen::SyclDevice& sycl_device)
  function test_padded_expr (line 90) | static void test_padded_expr(const Eigen::SyclDevice& sycl_device)
  function sycl_padding_test_per_device (line 143) | void sycl_padding_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 152) | EIGEN_DECLARE_TEST(cxx11_tensor_padding_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_patch.cpp
  function test_simple_patch (line 17) | static void test_simple_patch()
  function EIGEN_DECLARE_TEST (line 167) | EIGEN_DECLARE_TEST(cxx11_tensor_patch)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_patch_sycl.cpp
  function test_simple_patch_sycl (line 28) | static void test_simple_patch_sycl(const Eigen::SyclDevice& sycl_device){
  function sycl_tensor_patch_test_per_device (line 238) | void sycl_tensor_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 244) | EIGEN_DECLARE_TEST(cxx11_tensor_patch_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_random.cpp
  function test_default (line 15) | static void test_default()
  function test_normal (line 28) | static void test_normal()
  type MyGenerator (line 41) | struct MyGenerator {
    method MyGenerator (line 42) | MyGenerator() { }
    method MyGenerator (line 43) | MyGenerator(const MyGenerator&) { }
    method packetOp (line 53) | internal::packet_traits<int>::type packetOp(
  function test_custom (line 65) | static void test_custom()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_random)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_random_sycl.cpp
  function test_sycl_random_uniform (line 23) | static void test_sycl_random_uniform(const Eigen::SyclDevice& sycl_device)
  function test_sycl_random_normal (line 53) | void test_sycl_random_normal(const Eigen::SyclDevice& sycl_device)
  function sycl_random_test_per_device (line 83) | void sycl_random_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(cxx11_tensor_random_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_reduction.cpp
  function test_trivial_reductions (line 18) | static void test_trivial_reductions() {
  function test_simple_reductions (line 57) | static void test_simple_reductions() {
  function test_reductions_in_expr (line 246) | static void test_reductions_in_expr() {
  function test_full_reductions (line 272) | static void test_full_reductions() {
  type UserReducer (line 302) | struct UserReducer {
    method UserReducer (line 304) | UserReducer(float offset) : offset_(offset) {}
    method reduce (line 305) | void reduce(const float val, float* accum) { *accum += val * val; }
    method initialize (line 306) | float initialize() const { return 0; }
    method finalize (line 307) | float finalize(const float accum) const { return 1.0f / (accum + offse...
  function test_user_defined_reductions (line 314) | static void test_user_defined_reductions() {
  function test_tensor_maps (line 334) | static void test_tensor_maps() {
  function test_static_dims (line 368) | static void test_static_dims() {
  function test_innermost_last_dims (line 397) | static void test_innermost_last_dims() {
  function test_innermost_first_dims (line 428) | static void test_innermost_first_dims() {
  function test_reduce_middle_dims (line 459) | static void test_reduce_middle_dims() {
  function test_sum_accuracy (line 489) | static void test_sum_accuracy() {
  function EIGEN_DECLARE_TEST (line 508) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_reduction_sycl.cpp
  function test_full_reductions_sum_sycl (line 26) | static void test_full_reductions_sum_sycl(
  function test_full_reductions_sum_with_offset_sycl (line 66) | static void test_full_reductions_sum_with_offset_sycl(
  function test_full_reductions_max_sycl (line 108) | static void test_full_reductions_max_sycl(
  function test_full_reductions_max_with_offset_sycl (line 140) | static void test_full_reductions_max_with_offset_sycl(
  function test_full_reductions_mean_sycl (line 186) | static void test_full_reductions_mean_sycl(
  function test_full_reductions_mean_with_offset_sycl (line 273) | static void test_full_reductions_mean_with_offset_sycl(
  function test_full_reductions_mean_with_odd_offset_sycl (line 316) | static void test_full_reductions_mean_with_odd_offset_sycl(
  function test_full_reductions_min_sycl (line 362) | static void test_full_reductions_min_sycl(
  function test_full_reductions_min_with_offset_sycl (line 396) | static void test_full_reductions_min_with_offset_sycl(
  function test_first_dim_reductions_max_sycl (line 441) | static void test_first_dim_reductions_max_sycl(
  function test_first_dim_reductions_max_with_offset_sycl (line 487) | static void test_first_dim_reductions_max_with_offset_sycl(
  function test_last_dim_reductions_max_with_offset_sycl (line 544) | static void test_last_dim_reductions_max_with_offset_sycl(
  function test_first_dim_reductions_sum_sycl (line 609) | static void test_first_dim_reductions_sum_sycl(
  function test_first_dim_reductions_mean_sycl (line 649) | static void test_first_dim_reductions_mean_sycl(
  function test_last_dim_reductions_mean_sycl (line 695) | static void test_last_dim_reductions_mean_sycl(
  function test_last_dim_reductions_sum_sycl (line 740) | static void test_last_dim_reductions_sum_sycl(
  function test_last_reductions_sum_sycl (line 785) | static void test_last_reductions_sum_sycl(
  function test_last_reductions_mean_sycl (line 826) | static void test_last_reductions_mean_sycl(
  type CustomReducer (line 869) | struct CustomReducer {
    method reduce (line 876) | void reduce(const InT x,
    method reduce (line 884) | void reduce(const OutT x,
    method OutT (line 889) | OutT initialize() const {
    method OutT (line 893) | OutT finalize(const OutT accum) const {
  function test_full_reductions_custom_sycl (line 900) | static void test_full_reductions_custom_sycl(
  function sycl_reduction_test_full_per_device (line 935) | void sycl_reduction_test_full_per_device(const Dev& sycl_device) {
  function sycl_reduction_full_offset_per_device (line 953) | void sycl_reduction_full_offset_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_first_dim_per_device (line 976) | void sycl_reduction_test_first_dim_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_last_dim_per_device (line 990) | void sycl_reduction_test_last_dim_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 1001) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_ref.cpp
  function test_simple_lvalue_ref (line 17) | static void test_simple_lvalue_ref()
  function test_simple_rvalue_ref (line 48) | static void test_simple_rvalue_ref()
  function test_multiple_dims (line 70) | static void test_multiple_dims()
  function test_slice (line 91) | static void test_slice()
  function test_ref_of_ref (line 119) | static void test_ref_of_ref()
  function test_ref_in_expr (line 150) | static void test_ref_in_expr()
  function test_coeff_ref (line 184) | static void test_coeff_ref()
  function test_nested_ops_with_ref (line 199) | static void test_nested_ops_with_ref()
  function EIGEN_DECLARE_TEST (line 238) | EIGEN_DECLARE_TEST(cxx11_tensor_ref)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_reverse.cpp
  function test_simple_reverse (line 19) | static void test_simple_reverse()
  function test_expr_reverse (line 97) | static void test_expr_reverse(bool LValue)
  function EIGEN_DECLARE_TEST (line 182) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_reverse_sycl.cpp
  function test_simple_reverse (line 24) | static void test_simple_reverse(const Eigen::SyclDevice& sycl_device) {
  function test_expr_reverse (line 114) | static void test_expr_reverse(const Eigen::SyclDevice& sycl_device,
  function sycl_reverse_test_per_device (line 231) | void sycl_reverse_test_per_device(const cl::sycl::device& d) {
  function EIGEN_DECLARE_TEST (line 241) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_roundings.cpp
  function test_float_rounding (line 15) | static void test_float_rounding()
  function test_float_flooring (line 29) | static void test_float_flooring()
  function test_float_ceiling (line 43) | static void test_float_ceiling()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_roundings)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_scan.cpp
  function test_1d_scan (line 18) | static void test_1d_scan()
  function test_4d_scan (line 52) | static void test_4d_scan()
  function test_tensor_maps (line 87) | static void test_tensor_maps() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_scan) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_scan_sycl.cpp
  function test_sycl_cumsum (line 26) | void test_sycl_cumsum(const Eigen::SyclDevice& sycl_device, IndexType m_...
  function sycl_scan_test_exclusive_dim0_per_device (line 80) | void sycl_scan_test_exclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim1_per_device (line 87) | void sycl_scan_test_exclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim2_per_device (line 94) | void sycl_scan_test_exclusive_dim2_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim0_per_device (line 101) | void sycl_scan_test_inclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim1_per_device (line 108) | void sycl_scan_test_inclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim2_per_device (line 115) | void sycl_scan_test_inclusive_dim2_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_scan_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_shuffling.cpp
  function test_simple_shuffling (line 18) | static void test_simple_shuffling()
  function test_expr_shuffling (line 71) | static void test_expr_shuffling()
  function test_shuffling_as_value (line 134) | static void test_shuffling_as_value()
  function test_shuffle_unshuffle (line 181) | static void test_shuffle_unshuffle()
  function EIGEN_DECLARE_TEST (line 218) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp
  function test_simple_shuffling_sycl (line 30) | static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_shuffling_test_per_device (line 107) | void sycl_shuffling_test_per_device(dev_Selector s) {
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_simple.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 46) | static void test_1d()
  function test_2d (line 113) | static void test_2d()
  function test_3d (line 157) | static void test_3d()
  function test_simple_assign (line 275) | static void test_simple_assign()
  function test_resize (line 295) | static void test_resize()
  function EIGEN_DECLARE_TEST (line 319) | EIGEN_DECLARE_TEST(cxx11_tensor_simple)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_striding.cpp
  function test_simple_striding (line 17) | static void test_simple_striding()
  function test_striding_as_lvalue (line 70) | static void test_striding_as_lvalue()
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_striding)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_striding_sycl.cpp
  function test_simple_striding (line 34) | static void test_simple_striding(const Eigen::SyclDevice& sycl_device)
  function test_striding_as_lvalue (line 116) | static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function tensorStridingPerDevice (line 190) | void tensorStridingPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 199) | EIGEN_DECLARE_TEST(cxx11_tensor_striding_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_sugar.cpp
  function test_comparison_sugar (line 8) | static void test_comparison_sugar() {
  function test_scalar_sugar_add_mul (line 36) | static void test_scalar_sugar_add_mul() {
  function test_scalar_sugar_sub_div (line 56) | static void test_scalar_sugar_sub_div() {
  function EIGEN_DECLARE_TEST (line 76) | EIGEN_DECLARE_TEST(cxx11_tensor_sugar)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_sycl.cpp
  function test_sycl_mem_transfers (line 31) | void test_sycl_mem_transfers(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync (line 70) | void test_sycl_mem_sync(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync_offsets (line 98) | void test_sycl_mem_sync_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_memset_offsets (line 152) | void test_sycl_memset_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_computations (line 180) | void test_sycl_computations(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_cast (line 316) | static void test_sycl_cast(const Eigen::SyclDevice& sycl_device){
  function sycl_computing_test_per_device (line 342) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 357) | EIGEN_DECLARE_TEST(cxx11_tensor_sycl) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_symmetry.cpp
  function isDynGroup (line 36) | bool isDynGroup(StaticSGroup<Sym...> const& dummy)
  function isDynGroup (line 42) | bool isDynGroup(DynamicSGroup const& dummy)
  type checkIdx (line 49) | struct checkIdx {
    method doCheck_ (line 51) | static inline int doCheck_(ArrType e, int flags, int dummy, std::set<u...
    method run (line 72) | static inline int run(std::vector<int> e, int flags, int dummy, std::s...
    method run (line 78) | static inline int run(std::array<int, N> e, int flags, int dummy, std:...
  function test_symgroups_static (line 84) | static void test_symgroups_static()
  function test_symgroups_dynamic (line 109) | static void test_symgroups_dynamic()
  function test_symgroups_selection (line 138) | static void test_symgroups_selection()
  function test_tensor_epsilon (line 658) | static void test_tensor_epsilon()
  function test_tensor_sym (line 675) | static void test_tensor_sym()
  function test_tensor_asym (line 704) | static void test_tensor_asym()
  function test_tensor_dynsym (line 741) | static void test_tensor_dynsym()
  function test_tensor_randacc (line 771) | static void test_tensor_randacc()
  function EIGEN_DECLARE_TEST (line 804) | EIGEN_DECLARE_TEST(cxx11_tensor_symmetry)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_thread_local.cpp
  type Counter (line 16) | struct Counter {
    method Counter (line 17) | Counter() = default;
    method inc (line 19) | void inc() {
    method value (line 24) | int value() { return counter_value; }
  type InitCounter (line 30) | struct InitCounter {
  function test_simple_thread_local (line 36) | void test_simple_thread_local() {
  function test_zero_sized_thread_local (line 60) | void test_zero_sized_thread_local() {
  function test_large_number_of_tasks_no_spill (line 76) | void test_large_number_of_tasks_no_spill() {
  function test_large_number_of_tasks_with_spill (line 111) | void test_large_number_of_tasks_with_spill() {
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_local) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_thread_pool.cpp
  class TestAllocator (line 19) | class TestAllocator : public Allocator {
    method EIGEN_DEVICE_FUNC (line 22) | EIGEN_DEVICE_FUNC void* allocate(size_t num_bytes) const EIGEN_OVERRIDE {
    method EIGEN_DEVICE_FUNC (line 26) | EIGEN_DEVICE_FUNC void deallocate(void* buffer) const EIGEN_OVERRIDE {
    method alloc_count (line 31) | int alloc_count() const { return alloc_count_; }
    method dealloc_count (line 32) | int dealloc_count() const { return dealloc_count_; }
  function test_multithread_elementwise (line 39) | void test_multithread_elementwise()
  function test_async_multithread_elementwise (line 61) | void test_async_multithread_elementwise()
  function test_multithread_compound_assignment (line 86) | void test_multithread_compound_assignment()
  function test_multithread_contraction (line 110) | void test_multithread_contraction()
  function test_contraction_corner_cases (line 150) | void test_contraction_corner_cases()
  function test_multithread_contraction_agrees_with_singlethread (line 237) | void test_multithread_contraction_agrees_with_singlethread() {
  type SqrtOutputKernel (line 279) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 281) | EIGEN_ALWAYS_INLINE void operator()(
  function test_multithread_contraction_with_output_kernel (line 294) | static void test_multithread_contraction_with_output_kernel() {
  function test_async_multithread_contraction_agrees_with_singlethread (line 334) | void test_async_multithread_contraction_agrees_with_singlethread()
  function test_sharded_by_inner_dim_contraction (line 381) | static void test_sharded_by_inner_dim_contraction()
  function test_sharded_by_inner_dim_contraction_with_output_kernel (line 421) | static void test_sharded_by_inner_dim_contraction_with_output_kernel()
  function test_async_sharded_by_inner_dim_contraction (line 461) | static void test_async_sharded_by_inner_dim_contraction()
  function test_async_sharded_by_inner_dim_contraction_with_output_kernel (line 505) | static void test_async_sharded_by_inner_dim_contraction_with_output_kern...
  function test_full_contraction (line 547) | void test_full_contraction() {
  function test_multithreaded_reductions (line 583) | void test_multithreaded_reductions() {
  function test_memcpy (line 605) | void test_memcpy() {
  function test_multithread_random (line 624) | void test_multithread_random()
  function test_multithread_shuffle (line 633) | void test_multithread_shuffle(Allocator* allocator)
  function test_threadpool_allocate (line 657) | void test_threadpool_allocate(TestAllocator* allocator)
  function EIGEN_DECLARE_TEST (line 673) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_pool)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_trace.cpp
  function test_0D_trace (line 18) | static void test_0D_trace() {
  function test_all_dimensions_trace (line 28) | static void test_all_dimensions_trace() {
  function test_simple_trace (line 53) | static void test_simple_trace() {
  function test_trace_in_expr (line 141) | static void test_trace_in_expr() {
  function EIGEN_DECLARE_TEST (line 163) | EIGEN_DECLARE_TEST(cxx11_tensor_trace) {

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_uint128.cpp
  function VERIFY_EQUAL (line 27) | void VERIFY_EQUAL(TensorUInt128<uint64_t, uint64_t> actual, uint128_t ex...
  function test_add (line 40) | void test_add() {
  function test_sub (line 59) | void test_sub() {
  function test_mul (line 78) | void test_mul() {
  function test_div (line 97) | void test_div() {
  function test_misc1 (line 116) | void test_misc1() {
  function test_misc2 (line 131) | void test_misc2() {
  function EIGEN_DECLARE_TEST (line 147) | EIGEN_DECLARE_TEST(cxx11_tensor_uint128)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_volume_patch.cpp
  function test_single_voxel_patch (line 7) | static void test_single_voxel_patch()
  function test_entire_volume_patch (line 39) | static void test_entire_volume_patch()
  function EIGEN_DECLARE_TEST (line 108) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/cxx11_tensor_volume_patch_sycl.cpp
  function test_single_voxel_patch_sycl (line 27) | static void test_single_voxel_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_entire_volume_patch_sycl (line 98) | static void test_entire_volume_patch_sycl(const Eigen::SyclDevice& sycl_...
  function sycl_tensor_volume_patch_test_per_device (line 210) | void sycl_tensor_volume_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 217) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch_sycl)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/dgmres.cpp
  function test_dgmres_T (line 14) | void test_dgmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(dgmres)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/forward_adolc.cpp
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 24) | struct TestFunc1
    method TestFunc1 (line 37) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 38) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 40) | int inputs() const { return m_inputs; }
    method values (line 41) | int values() const { return m_values; }
  function adolc_forward_jacobian (line 99) | void adolc_forward_jacobian(const Func& f)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(forward_adolc)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/gmres.cpp
  function test_gmres_T (line 14) | void test_gmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(gmres)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/idrs.cpp
  function test_idrs_T (line 14) | void test_idrs_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(idrs)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/kronecker_product.cpp
  function check_dimension (line 20) | void check_dimension(const MatrixType& ab, const int rows,  const int cols)
  function check_kronecker_product (line 28) | void check_kronecker_product(const MatrixType& ab)
  function check_sparse_kronecker_product (line 73) | void check_sparse_kronecker_product(const MatrixType& ab)
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(kronecker_product)
  function EIGEN_DECLARE_TEST (line 243) | EIGEN_DECLARE_TEST(kronecker_product)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/levenberg_marquardt.cpp
  type lmder_functor (line 29) | struct lmder_functor : DenseFunctor<double>
    method lmder_functor (line 31) | lmder_functor(void): DenseFunctor<double>(3,15) {}
    method df (line 48) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 65) | void testLmder1()
  function testLmder (line 93) | void testLmder()
  type lmdif_functor (line 141) | struct lmdif_functor : DenseFunctor<double>
    method lmdif_functor (line 143) | lmdif_functor(void) : DenseFunctor<double>(3,15) {}
  function testLmdif1 (line 166) | void testLmdif1()
  function testLmdif (line 196) | void testLmdif()
  type chwirut2_functor (line 244) | struct chwirut2_functor : DenseFunctor<double>
    method chwirut2_functor (line 246) | chwirut2_functor(void) : DenseFunctor<double>(3,54) {}
    method df (line 261) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 281) | void testNistChwirut2(void)
  type misra1a_functor (line 331) | struct misra1a_functor : DenseFunctor<double>
    method misra1a_functor (line 333) | misra1a_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 345) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 361) | void testNistMisra1a(void)
  type hahn1_functor (line 405) | struct hahn1_functor : DenseFunctor<double>
    method hahn1_functor (line 407) | hahn1_functor(void) : DenseFunctor<double>(7,236) {}
    method df (line 427) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 452) | void testNistHahn1(void)
  type misra1d_functor (line 507) | struct misra1d_functor : DenseFunctor<double>
    method misra1d_functor (line 509) | misra1d_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 521) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 538) | void testNistMisra1d(void)
  type lanczos1_functor (line 583) | struct lanczos1_functor : DenseFunctor<double>
    method lanczos1_functor (line 585) | lanczos1_functor(void) : DenseFunctor<double>(6,24) {}
    method df (line 596) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 616) | void testNistLanczos1(void)
  type rat42_functor (line 669) | struct rat42_functor : DenseFunctor<double>
    method rat42_functor (line 671) | rat42_functor(void) : DenseFunctor<double>(3,9) {}
    method df (line 684) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 702) | void testNistRat42(void)
  type MGH10_functor (line 748) | struct MGH10_functor : DenseFunctor<double>
    method MGH10_functor (line 750) | MGH10_functor(void) : DenseFunctor<double>(3,16) {}
    method df (line 761) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 780) | void testNistMGH10(void)
  type BoxBOD_functor (line 844) | struct BoxBOD_functor : DenseFunctor<double>
    method BoxBOD_functor (line 846) | BoxBOD_functor(void) : DenseFunctor<double>(2,6) {}
    method df (line 857) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 873) | void testNistBoxBOD(void)
  type MGH17_functor (line 928) | struct MGH17_functor : DenseFunctor<double>
    method MGH17_functor (line 930) | MGH17_functor(void) : DenseFunctor<double>(5,33) {}
    method df (line 941) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 960) | void testNistMGH17(void)
  type MGH09_functor (line 1015) | struct MGH09_functor : DenseFunctor<double>
    method MGH09_functor (line 1017) | MGH09_functor(void) : DenseFunctor<double>(4,11) {}
    method df (line 1030) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1050) | void testNistMGH09(void)
  type Bennett5_functor (line 1102) | struct Bennett5_functor : DenseFunctor<double>
    method Bennett5_functor (line 1104) | Bennett5_functor(void) : DenseFunctor<double>(3,154) {}
    method df (line 1115) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1136) | void testNistBennett5(void)
  type thurber_functor (line 1183) | struct thurber_functor : DenseFunctor<double>
    method thurber_functor (line 1185) | thurber_functor(void) : DenseFunctor<double>(7,37) {}
    method df (line 1199) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1223) | void testNistThurber(void)
  type rat43_functor (line 1282) | struct rat43_functor : DenseFunctor<double>
    method rat43_functor (line 1284) | rat43_functor(void) : DenseFunctor<double>(4,15) {}
    method df (line 1295) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1315) | void testNistRat43(void)
  type eckerle4_functor (line 1370) | struct eckerle4_functor : DenseFunctor<double>
    method eckerle4_functor (line 1372) | eckerle4_functor(void) : DenseFunctor<double>(3,35) {}
    method df (line 1383) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1402) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1448) | EIGEN_DECLARE_TEST(levenberg_marquardt)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/matrix_exponential.cpp
  function binom (line 12) | double binom(int n, int k)
  function T (line 21) | T expfn(T x, int)
  function test2dRotation (line 27) | void test2dRotation(double tol)
  function test2dHyperbolicRotation (line 49) | void test2dHyperbolicRotation(double tol)
  function testPascal (line 74) | void testPascal(double tol)
  function randomTest (line 98) | void randomTest(const MatrixType& m, double tol)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(matrix_exponential)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/matrix_function.cpp
  function test_isApprox_abs (line 18) | inline bool test_isApprox_abs(const Type1& a, const Type2& b)
  function MatrixType (line 26) | MatrixType randomMatrixWithRealEivals(const Index size)
  type randomMatrixWithImagEivals (line 41) | struct randomMatrixWithImagEivals
  type randomMatrixWithImagEivals<MatrixType, 0> (line 49) | struct randomMatrixWithImagEivals<MatrixType, 0>
    method MatrixType (line 51) | static MatrixType run(const Index size)
  type randomMatrixWithImagEivals<MatrixType, 1> (line 76) | struct randomMatrixWithImagEivals<MatrixType, 1>
    method MatrixType (line 78) | static MatrixType run(const Index size)
  function testMatrixExponential (line 96) | void testMatrixExponential(const MatrixType& A)
  function testMatrixLogarithm (line 106) | void testMatrixLogarithm(const MatrixType& A)
  function testHyperbolicFunctions (line 125) | void testHyperbolicFunctions(const MatrixType& A)
  function testGonioFunctions (line 134) | void testGonioFunctions(const MatrixType& A)
  function testMatrix (line 158) | void testMatrix(const MatrixType& A)
  function testMatrixType (line 167) | void testMatrixType(const MatrixType& m)
  function testMapRef (line 181) | void testMapRef(const MatrixType& A)
  function EIGEN_DECLARE_TEST (line 213) | EIGEN_DECLARE_TEST(matrix_function)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/matrix_functions.h
  function run (line 25) | static void run(MatrixType& m, MatrixType& T, const MatrixType& U)
  function run (line 45) | static void run(MatrixType& result, typename MatrixType::Index size)
  function run (line 57) | static void run(MatrixType& result, typename MatrixType::Index size)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/matrix_power.cpp
  function test2dRotation (line 13) | void test2dRotation(const T& tol)
  function test2dHyperbolicRotation (line 34) | void test2dHyperbolicRotation(const T& tol)
  function test3dRotation (line 56) | void test3dRotation(const T& tol)
  function testGeneral (line 70) | void testGeneral(const MatrixType& m, const typename MatrixType::RealSca...
  function testSingular (line 100) | void testSingular(const MatrixType& m_const, const typename MatrixType::...
  function testLogThenExp (line 133) | void testLogThenExp(const MatrixType& m_const, const typename MatrixType...
  function EIGEN_DECLARE_TEST (line 153) | EIGEN_DECLARE_TEST(matrix_power)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/matrix_square_root.cpp
  function testMatrixSqrt (line 13) | void testMatrixSqrt(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(matrix_square_root)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/minres.cpp
  function test_minres_T (line 15) | void test_minres_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(minres)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/mpreal/mpreal.h
  function namespace (line 147) | namespace mpfr {
  function mpreal (line 1087) | inline mpreal& mpreal::operator+=(const mpreal& v)
  function mpreal (line 1094) | inline mpreal& mpreal::operator+=(const mpf_t u)
  function mpreal (line 1101) | inline mpreal& mpreal::operator+=(const mpz_t u)
  function mpreal (line 1108) | inline mpreal& mpreal::operator+=(const mpq_t u)
  function mpreal (line 1115) | inline mpreal& mpreal::operator+= (const long double u)
  function mpreal (line 1122) | inline mpreal& mpreal::operator+= (const double u)
  function u (line 1134) | const unsigned long int u)
  function u (line 1141) | const unsigned int u)
  function u (line 1148) | const long int u)
  function mpreal (line 1155) | inline mpreal& mpreal::operator+=(const int u)
  function u (line 1162) | const long long int u)         {    *this += mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1163) | const unsigned long long int u){    *this += mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1164) | const long long int  u)        {    *this -= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1165) | const unsigned long long int u){    *this -= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1166) | const long long int  u)        {    *this *= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1167) | const unsigned long long int u){    *this *= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1168) | const long long int  u)        {    *this /= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1169) | const unsigned long long int u){    *this /= mpreal(u); MPREAL_MSVC_DEBU...
  function u (line 1524) | const unsigned long int u)
  function u (line 1531) | const unsigned int u)
  function u (line 1538) | const long int u)
  function mpreal (line 1545) | inline mpreal& mpreal::operator<<=(const int u)
  function u (line 1552) | const unsigned long int u)
  function u (line 1559) | const unsigned int u)
  function u (line 1566) | const long int u)
  function mpreal (line 1573) | inline mpreal& mpreal::operator>>=(const int u)
  function k (line 1585) | int k)
  function k (line 1595) | int k)
  function k (line 1605) | int k)
  function k (line 1615) | int k)
  function mpreal (line 1621) | inline const mpreal mul_2ui(const mpreal& v, unsigned long int k, mp_rnd...
  function mpreal (line 1629) | inline const mpreal mul_2si(const mpreal& v, long int k, mp_rnd_t rnd_mode)
  function mpreal (line 1636) | inline const mpreal div_2ui(const mpreal& v, unsigned long int k, mp_rnd...
  function mpreal (line 1643) | inline const mpreal div_2si(const mpreal& v, long int k, mp_rnd_t rnd_mode)
  function operator (line 1663) | inline bool operator >  (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1664) | inline bool operator >  (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1665) | inline bool operator >  (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1666) | inline bool operator >  (const mpreal& a, const long int b          ){  ...
  function operator (line 1667) | inline bool operator >  (const mpreal& a, const int b               ){  ...
  function operator (line 1668) | inline bool operator >  (const mpreal& a, const long double b       ){  ...
  function operator (line 1669) | inline bool operator >  (const mpreal& a, const double b            ){  ...
  function operator (line 1671) | inline bool operator >= (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1672) | inline bool operator >= (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1673) | inline bool operator >= (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1674) | inline bool operator >= (const mpreal& a, const long int b          ){  ...
  function operator (line 1675) | inline bool operator >= (const mpreal& a, const int b               ){  ...
  function operator (line 1676) | inline bool operator >= (const mpreal& a, const long double b       ){  ...
  function operator (line 1677) | inline bool operator >= (const mpreal& a, const double b            ){  ...
  function operator (line 1679) | inline bool operator <  (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1680) | inline bool operator <  (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1681) | inline bool operator <  (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1682) | inline bool operator <  (const mpreal& a, const long int b          ){  ...
  function operator (line 1683) | inline bool operator <  (const mpreal& a, const int b               ){  ...
  function operator (line 1684) | inline bool operator <  (const mpreal& a, const long double b       ){  ...
  function operator (line 1685) | inline bool operator <  (const mpreal& a, const double b            ){  ...
  function operator (line 1687) | inline bool operator <= (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1688) | inline bool operator <= (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1689) | inline bool operator <= (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1690) | inline bool operator <= (const mpreal& a, const long int b          ){  ...
  function operator (line 1691) | inline bool operator <= (const mpreal& a, const int b               ){  ...
  function operator (line 1692) | inline bool operator <= (const mpreal& a, const long double b       ){  ...
  function operator (line 1693) | inline bool operator <= (const mpreal& a, const double b            ){  ...
  function operator (line 1695) | inline bool operator == (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1696) | inline bool operator == (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1697) | inline bool operator == (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1698) | inline bool operator == (const mpreal& a, const long int b          ){  ...
  function operator (line 1699) | inline bool operator == (const mpreal& a, const int b               ){  ...
  function operator (line 1700) | inline bool operator == (const mpreal& a, const long double b       ){  ...
  function operator (line 1701) | inline bool operator == (const mpreal& a, const double b            ){  ...
  function operator (line 1703) | inline bool operator != (const mpreal& a, const mpreal& b           ){  ...
  function operator (line 1704) | inline bool operator != (const mpreal& a, const unsigned long int b ){  ...
  function operator (line 1705) | inline bool operator != (const mpreal& a, const unsigned int b      ){  ...
  function operator (line 1706) | inline bool operator != (const mpreal& a, const long int b          ){  ...
  function operator (line 1707) | inline bool operator != (const mpreal& a, const int b               ){  ...
  function operator (line 1708) | inline bool operator != (const mpreal& a, const long double b       ){  ...
  function operator (line 1709) | inline bool operator != (const mpreal& a, const double b            ){  ...
  function EIGEN_NOT_A_MACRO (line 1711) | inline bool isnan EIGEN_NOT_A_MACRO     (const mpreal& op){    return (m...
  function iszero (line 1714) | inline bool iszero   (const mpreal& op){    return (mpfr_zero_p   (op.mp...
  function isint (line 1715) | inline bool isint    (const mpreal& op){    return (mpfr_integer_p(op.mp...
  function isregular (line 1718) | inline bool isregular(const mpreal& op){    return (mpfr_regular_p(op.mp...
  function toBool (line 1723) | inline bool               mpreal::toBool   (             )  const    {  ...
  function toULong (line 1725) | inline unsigned long      mpreal::toULong  (mp_rnd_t mode)  const    {  ...
  function toFloat (line 1726) | inline float              mpreal::toFloat  (mp_rnd_t mode)  const    {  ...
  function toDouble (line 1727) | inline double             mpreal::toDouble (mp_rnd_t mode)  const    {  ...
  function toLDouble (line 1728) | inline long double        mpreal::toLDouble(mp_rnd_t mode)  const    {  ...
  function toLLong (line 1729) | inline long long          mpreal::toLLong  (mp_rnd_t mode)  const    {  ...
  function toULLong (line 1730) | inline unsigned long long mpreal::toULLong (mp_rnd_t mode)  const    {  ...
  function mpfr_ptr (line 1732) | inline ::mpfr_ptr     mpreal::mpfr_ptr()             { return mp; }
  function mpreal (line 2182) | inline const mpreal sqrt(const unsigned long int x, mp_rnd_t r)
  function mpreal (line 2189) | inline const mpreal sqrt(const unsigned int v, mp_rnd_t rnd_mode)
  function mpreal (line 2194) | inline const mpreal sqrt(const long int v, mp_rnd_t rnd_mode)
  function mpreal (line 2200) | inline const mpreal sqrt(const int v, mp_rnd_t rnd_mode)
  function cmpabs (line 2224) | inline int cmpabs(const mpreal& a,const mpreal& b)
  function mpreal (line 2234) | inline const mpreal sqrt  (const long double v, mp_rnd_t rnd_mode)    { ...
  function mpreal (line 2235) | inline const mpreal sqrt  (const double v, mp_rnd_t rnd_mode)         { ...
  function mpreal (line 2239) | inline const mpreal abs   (const mpreal& x, mp_rnd_t r)                 ...
  function mpreal (line 2313) | inline const mpreal hypot(const mpreal& a, const mpreal& b, const mpreal...
  function mpreal (line 2332) | inline const mpreal hypot(const mpreal& a, const mpreal& b, const mpreal...
  function mpreal (line 2571) | inline const mpreal ceil(const mpreal& v)
  function mpreal (line 2578) | inline const mpreal floor(const mpreal& v)
  function mpreal (line 2585) | inline const mpreal round(const mpreal& v)
  function mpreal (line 2592) | inline const mpreal trunc(const mpreal& v)
  function sgn (line 2608) | inline int sgn(const mpreal& op)
  function swap (line 2617) | inline void         swap (mpreal& a, mpreal& b)            {    mpfr_swa...
  function mpreal (line 2618) | inline const mpreal (max)(const mpreal& x, const mpreal& y){    return (...
  function mpreal (line 2619) | inline const mpreal (min)(const mpreal& x, const mpreal& y){    return (...
  function mpreal (line 2635) | inline const mpreal nexttoward (const mpreal& x, const mpreal& y)
  function mpreal (line 2642) | inline const mpreal nextabove  (const mpreal& x)
  function mpreal (line 2649) | inline const mpreal nextbelow  (const mpreal& x)
  function mpreal (line 2656) | inline const mpreal urandomb (gmp_randstate_t& state)
  function mpreal (line 2673) | inline const mpreal random2 (mp_size_t size, mp_exp_t exp)
  function set_default_prec (line 2746) | inline void mpreal::set_default_prec(mp_prec_t prec)
  function set_default_rnd (line 2751) | inline void mpreal::set_default_rnd(mp_rnd_t rnd_mode)
  function fits_in_bits (line 2756) | inline bool mpreal::fits_in_bits(double x, int n)
  function mpreal (line 2784) | inline const mpreal pow(const mpreal& a, const unsigned int b, mp_rnd_t ...
  function mpreal (line 2796) | inline const mpreal pow(const mpreal& a, const int b, mp_rnd_t rnd_mode)
  function mpreal (line 2801) | inline const mpreal pow(const mpreal& a, const long double b, mp_rnd_t r...
  function mpreal (line 2806) | inline const mpreal pow(const mpreal& a, const double b, mp_rnd_t rnd_mode)
  function mpreal (line 2818) | inline const mpreal pow(const unsigned int a, const mpreal& b, mp_rnd_t ...
  function mpreal (line 2823) | inline const mpreal pow(const long int a, const mpreal& b, mp_rnd_t rnd_...
  function mpreal (line 2829) | inline const mpreal pow(const int a, const mpreal& b, mp_rnd_t rnd_mode)
  function mpreal (line 2835) | inline const mpreal pow(const long double a, const mpreal& b, mp_rnd_t r...
  function mpreal (line 2840) | inline const mpreal pow(const double a, const mpreal& b, mp_rnd_t rnd_mode)
  function mpreal (line 2846) | inline const mpreal pow(const unsigned long int a, const unsigned long i...
  function mpreal (line 2853) | inline const mpreal pow(const unsigned long int a, const unsigned int b,...
  function mpreal (line 2858) | inline const mpreal pow(const unsigned long int a, const long int b, mp_...
  function mpreal (line 2864) | inline const mpreal pow(const unsigned long int a, const int b, mp_rnd_t...
  function mpreal (line 2870) | inline const mpreal pow(const unsigned long int a, const long double b, ...
  function mpreal (line 2875) | inline const mpreal pow(const unsigned long int a, const double b, mp_rn...
  function mpreal (line 2881) | inline const mpreal pow(const unsigned int a, const unsigned long int b,...
  function mpreal (line 2886) | inline const mpreal pow(const unsigned int a, const unsigned int b, mp_r...
  function mpreal (line 2891) | inline const mpreal pow(const unsigned int a, const long int b, mp_rnd_t...
  function mpreal (line 2897) | inline const mpreal pow(const unsigned int a, const int b, mp_rnd_t rnd_...
  function mpreal (line 2903) | inline const mpreal pow(const unsigned int a, const long double b, mp_rn...
  function mpreal (line 2908) | inline const mpreal pow(const unsigned int a, const double b, mp_rnd_t r...
  function mpreal (line 2914) | inline const mpreal pow(const long int a, const unsigned long int b, mp_...
  function mpreal (line 2920) | inline const mpreal pow(const long int a, const unsigned int b, mp_rnd_t...
  function mpreal (line 2926) | inline const mpreal pow(const long int a, const long int b, mp_rnd_t rnd...
  function mpreal (line 2937) | inline const mpreal pow(const long int a, const int b, mp_rnd_t rnd_mode)
  function mpreal (line 2948) | inline const mpreal pow(const long int a, const long double b, mp_rnd_t ...
  function mpreal (line 2954) | inline const mpreal pow(const long int a, const double b, mp_rnd_t rnd_m...
  function mpreal (line 2961) | inline const mpreal pow(const int a, const unsigned long int b, mp_rnd_t...
  function mpreal (line 2967) | inline const mpreal pow(const int a, const unsigned int b, mp_rnd_t rnd_...
  function mpreal (line 2973) | inline const mpreal pow(const int a, const long int b, mp_rnd_t rnd_mode)
  function mpreal (line 2984) | inline const mpreal pow(const int a, const int b, mp_rnd_t rnd_mode)
  function mpreal (line 2995) | inline const mpreal pow(const int a, const long double b, mp_rnd_t rnd_m...
  function mpreal (line 3001) | inline const mpreal pow(const int a, const double b, mp_rnd_t rnd_mode)
  function mpreal (line 3008) | inline const mpreal pow(const long double a, const long double b, mp_rnd...
  function mpreal (line 3013) | inline const mpreal pow(const long double a, const unsigned long int b, ...
  function mpreal (line 3018) | inline const mpreal pow(const long double a, const unsigned int b, mp_rn...
  function mpreal (line 3023) | inline const mpreal pow(const long double a, const long int b, mp_rnd_t ...
  function mpreal (line 3028) | inline const mpreal pow(const long double a, const int b, mp_rnd_t rnd_m...
  function mpreal (line 3033) | inline const mpreal pow(const double a, const double b, mp_rnd_t rnd_mode)
  function mpreal (line 3038) | inline const mpreal pow(const double a, const unsigned long int b, mp_rn...
  function mpreal (line 3043) | inline const mpreal pow(const double a, const unsigned int b, mp_rnd_t r...
  function mpreal (line 3048) | inline const mpreal pow(const double a, const long int b, mp_rnd_t rnd_m...
  function mpreal (line 3053) | inline const mpreal pow(const double a, const int b, mp_rnd_t rnd_mode)
  function namespace (line 3062) | namespace std
  function mpfr (line 3101) | inline static mpfr::mpreal epsilon(const mpfr::mpreal& x) {  return mpfr...
  function mpfr (line 3111) | inline static const mpfr::mpreal infinity()         { return mpfr::const...
  function mpfr (line 3112) | inline static const mpfr::mpreal quiet_NaN()        { return mpfr::mprea...
  function mpfr (line 3113) | inline static const mpfr::mpreal signaling_NaN()    { return mpfr::mprea...
  function mpfr (line 3114) | inline static const mpfr::mpreal denorm_min()       { return (min)();   ...
  function float_round_style (line 3130) | inline static float_round_style round_style()
  function digits (line 3144) | inline static int digits()                        {    return int(mpfr::...
  function digits (line 3145) | inline static int digits(const mpfr::mpreal& x)   {    return x.getPreci...
  function digits10 (line 3152) | inline static int digits10(const mpfr::mpreal& x)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/mpreal_support.cpp
  function EIGEN_DECLARE_TEST (line 10) | EIGEN_DECLARE_TEST(mpreal_support)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/openglsupport.cpp
  function printProgramInfoLog (line 66) | void printProgramInfoLog(GLuint objectID)
  function printShaderInfoLog (line 81) | void printShaderInfoLog(GLuint objectID)
  function GLint (line 96) | GLint createProgram(const char* vtx, const char* frg, bool print_errors ...
  function GLint (line 157) | GLint createProgram(const std::string& vtx, const std::string& frg, bool...
  function getGlslVersionString (line 162) | std::string getGlslVersionString(int gl_major_version, int gl_minor_vers...
  function find_and_replace (line 211) | void find_and_replace(
  function format (line 226) | std::string format(
  function openglsupport_test_loop (line 240) | void openglsupport_test_loop()
  function EIGEN_DECLARE_TEST (line 559) | EIGEN_DECLARE_TEST(openglsupport)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/polynomialsolver.cpp
  type Eigen (line 17) | namespace Eigen {
    type internal (line 18) | namespace internal {
      type increment_if_fixed_size (line 20) | struct increment_if_fixed_size
  function PolynomialType (line 30) | PolynomialType polyder(const PolynomialType& p)
  function aux_evalSolver (line 41) | bool aux_evalSolver( const POLYNOMIAL& pols, SOLVER& psolve )
  function evalSolver (line 99) | void evalSolver( const POLYNOMIAL& pols )
  function evalSolverSugarFunction (line 113) | void evalSolverSugarFunction( const POLYNOMIAL& pols, const ROOTS& roots...
  function polynomialsolver (line 183) | void polynomialsolver(int deg)
  function EIGEN_DECLARE_TEST (line 210) | EIGEN_DECLARE_TEST(polynomialsolver)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/polynomialutils.cpp
  type Eigen (line 16) | namespace Eigen {
    type internal (line 17) | namespace internal {
      type increment_if_fixed_size (line 19) | struct increment_if_fixed_size
  function realRoots_to_monicPolynomial_test (line 29) | void realRoots_to_monicPolynomial_test(int deg)
  function realRoots_to_monicPolynomial_scalar (line 49) | void realRoots_to_monicPolynomial_scalar()
  function CauchyBounds (line 67) | void CauchyBounds(int deg)
  function CauchyBounds_scalar (line 90) | void CauchyBounds_scalar()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(polynomialutils)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/sparse_extra.cpp
  function test_random_setter (line 37) | bool test_random_setter(SparseMatrix<Scalar,Options>& sm, const DenseTyp...
  function test_random_setter (line 55) | bool test_random_setter(DynamicSparseMatrix<T>& sm, const DenseType& ref...
  function sparse_extra (line 69) | void sparse_extra(const SparseMatrixType& ref)
  function check_marketio (line 152) | void check_marketio()
  function check_marketio_vector (line 165) | void check_marketio_vector()
  function EIGEN_DECLARE_TEST (line 175) | EIGEN_DECLARE_TEST(sparse_extra)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/special_functions.cpp
  function verify_component_wise (line 26) | void verify_component_wise(const X& x, const Y& y)
  function array_special_functions (line 39) | void array_special_functions()
  function EIGEN_DECLARE_TEST (line 490) | EIGEN_DECLARE_TEST(special_functions)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/special_packetmath.cpp
  function packetmath_real (line 15) | void packetmath_real()
  type Eigen (line 125) | namespace Eigen {
    type test (line 126) | namespace test {
      type runall (line 129) | struct runall {
        method run (line 130) | static void run() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(special_packetmath)

FILE: VO_Module/thirdparty/lietorch/eigen/unsupported/test/splines.cpp
  type Eigen (line 14) | namespace Eigen {
    class Spline<double, 2, Dynamic> (line 18) | class Spline<double, 2, Dynamic>
    class Spline<double, 3, Dynamic> (line 19) | class Spline<double, 3, Dynamic>
    class Spline<double, 2, 2> (line 21) | class Spline<double, 2, 2>
    class Spline<double, 2, 3> (line 22) | class Spline<double, 2, 3>
    class Spline<double, 2, 4> (line 23) | class Spline<double, 2, 4>
    class Spline<double, 2, 5> (line 24) | class Spline<double, 2, 5>
    class Spline<float, 2, Dynamic> (line 26) | class Spline<float, 2, Dynamic>
    class Spline<float, 3, Dynamic> (line 27) | class Spline<float, 3, Dynamic>
    class Spline<float, 3, 2> (line 29) | class Spline<float, 3, 2>
    class Spline<float, 3, 3> (line 30) | class Spline<float, 3, 3>
    class Spline<float, 3, 4> (line 31) | class Spline<float, 3, 4>
    class Spline<float, 3, 5> (line 32) | class Spline<float, 3, 5>
  function closed_spline2d (line 36) | Spline<double, 2, Dynamic> closed_spline2d()
  function spline3d (line 67) | Spline<double, 3, Dynamic> spline3d()
  function eval_spline3d (line 97) | void eval_spline3d()
  function eval_spline3d_onbrks (line 134) | void eval_spline3d_onbrks()
  function eval_closed_spline2d (line 161) | void eval_closed_spline2d()
  function check_global_interpolation2d (line 201) | void check_global_interpolation2d()
  function check_global_interpolation_with_derivatives2d (line 237) | void check_global_interpolation_with_derivatives2d()
  function EIGEN_DECLARE_TEST (line 271) | EIGEN_DECLARE_TEST(splines)

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/augmentation.py
  class RGBDAugmentor (line 7) | class RGBDAugmentor:
    method __init__ (line 10) | def __init__(self, crop_size):
    method spatial_transform (line 19) | def spatial_transform(self, images, depths, poses, intrinsics):
    method color_transform (line 48) | def color_transform(self, images):
    method __call__ (line 55) | def __call__(self, images, poses, depths, intrinsics):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/base.py
  class RGBDDataset (line 19) | class RGBDDataset(data.Dataset):
    method __init__ (line 20) | def __init__(self, root, name, n_frames=4, crop_size=[384,512], fmin=8...
    method _build_dataset_index (line 50) | def _build_dataset_index(self):
    method image_read (line 60) | def image_read(image_file):
    method depth_read (line 64) | def depth_read(depth_file):
    method build_frame_graph (line 67) | def build_frame_graph(self, poses, depths, intrinsics, f=16, max_flow=...
    method __getitem__ (line 92) | def __getitem__(self, index):
    method __len__ (line 144) | def __len__(self):
    method __imul__ (line 147) | def __imul__(self, x):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/eth3d.py
  class ETH3D (line 22) | class ETH3D(RGBDDataset):
    method __init__ (line 23) | def __init__(self, **kwargs):
    method is_test_scene (line 27) | def is_test_scene(scene):
    method _build_dataset (line 30) | def _build_dataset(self):
    method image_read (line 59) | def image_read(image_file):
    method depth_read (line 63) | def depth_read(depth_file):
  class ETH3DStream (line 68) | class ETH3DStream(RGBDStream):
    method __init__ (line 69) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 72) | def _build_dataset_index(self):
    method image_read (line 87) | def image_read(image_file):
    method depth_read (line 91) | def depth_read(depth_file):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/factory.py
  function dataset_factory (line 18) | def dataset_factory(dataset_list, **kwargs):
  function create_datastream (line 41) | def create_datastream(dataset_path, **kwargs):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/nyu2.py
  class NYUv2 (line 13) | class NYUv2(RGBDDataset):
    method __init__ (line 14) | def __init__(self, **kwargs):
    method is_test_scene (line 18) | def is_test_scene(scene):
    method _build_dataset (line 21) | def _build_dataset(self):
    method calib_read (line 50) | def calib_read():
    method image_read (line 58) | def image_read(image_file):
    method depth_read (line 62) | def depth_read(depth_file):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/rgbd_utils.py
  function parse_list (line 11) | def parse_list(filepath, skiprows=0):
  function associate_frames (line 16) | def associate_frames(tstamp_image, tstamp_depth, tstamp_pose, max_dt=0.08):
  function loadtum (line 35) | def loadtum(datapath, frame_rate=-1):
  function all_pairs_distance_matrix (line 81) | def all_pairs_distance_matrix(poses, beta=2.5):
  function pose_matrix_to_quaternion (line 90) | def pose_matrix_to_quaternion(pose):
  function compute_distance_matrix_flow (line 95) | def compute_distance_matrix_flow(poses, disps, intrinsics):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/scannet.py
  class ScanNet (line 16) | class ScanNet(RGBDDataset):
    method __init__ (line 17) | def __init__(self, **kwargs):
    method is_test_scene (line 21) | def is_test_scene(scene):
    method _build_dataset_index (line 25) | def _build_dataset_index(self):
    method calib_read (line 73) | def calib_read(scene_path):
    method pose_read (line 79) | def pose_read(pose_file):
    method image_read (line 84) | def image_read(image_file):
    method depth_read (line 89) | def depth_read(depth_file):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/stream.py
  class RGBDStream (line 18) | class RGBDStream(data.Dataset):
    method __init__ (line 19) | def __init__(self, datapath, frame_rate=-1, crop_size=[384,512]):
    method image_read (line 26) | def image_read(image_file):
    method depth_read (line 30) | def depth_read(depth_file):
    method __len__ (line 33) | def __len__(self):
    method __getitem__ (line 36) | def __getitem__(self, index):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/tartan.py
  class TartanAir (line 12) | class TartanAir(RGBDDataset):
    method __init__ (line 18) | def __init__(self, mode='training', **kwargs):
    method is_test_scene (line 24) | def is_test_scene(scene):
    method _build_dataset (line 27) | def _build_dataset(self):
    method calib_read (line 52) | def calib_read():
    method image_read (line 56) | def image_read(image_file):
    method depth_read (line 60) | def depth_read(depth_file):
  class TartanAirTest (line 67) | class TartanAirTest(torch.utils.data.Dataset):
    method __init__ (line 68) | def __init__(self, root='datasets/Tartan'):
    method __getitem__ (line 92) | def __getitem__(self, index):
    method __len__ (line 124) | def __len__(self):
  class TartanAirStream (line 127) | class TartanAirStream(RGBDStream):
    method __init__ (line 128) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 131) | def _build_dataset_index(self):
    method calib_read (line 143) | def calib_read(datapath):
    method image_read (line 147) | def image_read(image_file):
    method depth_read (line 151) | def depth_read(depth_file):

FILE: VO_Module/thirdparty/lietorch/examples/core/data_readers/tum.py
  function as_intrinsics_matrix (line 30) | def as_intrinsics_matrix(intrinsics):
  class TUMStream (line 39) | class TUMStream(RGBDStream):
    method __init__ (line 40) | def __init__(self, datapath, **kwargs):
    method _build_dataset_index (line 43) | def _build_dataset_index(self):
    method calib_read (line 60) | def calib_read(datapath):
    method image_read (line 76) | def image_read(image_file):
    method depth_read (line 83) | def depth_read(depth_file):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/ba.py
  function safe_scatter_add_mat (line 9) | def safe_scatter_add_mat(H, data, ii, jj, B, M, D):
  function safe_scatter_add_vec (line 13) | def safe_scatter_add_vec(b, data, ii, B, M, D):
  function MoBA (line 17) | def MoBA(target, weight, poses, disps, intrinsics, ii, jj, fixedp=1, lm=...
  function SLessBA (line 70) | def SLessBA(target, weight, poses, disps, intrinsics, ii, jj, fixedp=1):
  function BA (line 75) | def BA(target, weight, poses, disps, intrinsics, ii, jj, fixedp=1):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/chol.py
  class CholeskySolver (line 5) | class CholeskySolver(torch.autograd.Function):
    method forward (line 7) | def forward(ctx, H, b):
    method backward (line 22) | def backward(ctx, grad_x):
  function block_solve (line 32) | def block_solve(H, b, ep=0.1, lm=0.0001):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/graph_utils.py
  function graph_to_edge_list (line 10) | def graph_to_edge_list(graph):
  function keyframe_indicies (line 23) | def keyframe_indicies(graph):
  function meshgrid (line 27) | def meshgrid(m, n, device='cuda'):
  class KeyframeGraph (line 32) | class KeyframeGraph:
    method __init__ (line 33) | def __init__(self, images, poses, depths, intrinsics):
    method get_keyframes (line 64) | def get_keyframes(self):
    method get_graph (line 68) | def get_graph(self, num=-1, thresh=24.0, r=2):
    method get_poses (line 99) | def get_poses(self, keyframe_poses):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/losses.py
  function pose_metrics (line 6) | def pose_metrics(dE):
  function geodesic_loss (line 17) | def geodesic_loss(Ps, Gs, graph, gamma=0.9):
  function residual_loss (line 59) | def residual_loss(residuals, gamma=0.9):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/projective_ops.py
  function extract_intrinsics (line 8) | def extract_intrinsics(intrinsics):
  function iproj (line 11) | def iproj(disps, intrinsics):
  function proj (line 25) | def proj(Xs, intrinsics, jacobian=False):
  function actp (line 48) | def actp(Gij, X0, jacobian=False):
  function projective_transform (line 77) | def projective_transform(poses, depths, intrinsics, ii, jj, jacobian=Fal...
  function induced_flow (line 102) | def induced_flow(poses, disps, intrinsics, ii, jj):

FILE: VO_Module/thirdparty/lietorch/examples/core/geom/sampler_utils.py
  function _bilinear_sampler (line 4) | def _bilinear_sampler(img, coords, mode='bilinear', mask=False):
  function bilinear_sampler (line 20) | def bilinear_sampler(img, coords):
  function sample_depths (line 36) | def sample_depths(depths, coords):

FILE: VO_Module/thirdparty/lietorch/examples/core/logger.py
  class Logger (line 8) | class Logger:
    method __init__ (line 9) | def __init__(self, name, scheduler):
    method _print_training_status (line 16) | def _print_training_status(self):
    method push (line 34) | def push(self, metrics):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/modules/clipping.py
  class GradClip (line 7) | class GradClip(torch.autograd.Function):
    method forward (line 9) | def forward(ctx, x):
    method backward (line 13) | def backward(ctx, grad_x):
  class GradientClip (line 19) | class GradientClip(nn.Module):
    method __init__ (line 20) | def __init__(self):
    method forward (line 23) | def forward(self, x):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/modules/corr.py
  class CorrSampler (line 8) | class CorrSampler(torch.autograd.Function):
    method forward (line 11) | def forward(ctx, volume, coords, radius):
    method backward (line 18) | def backward(ctx, grad_output):
  class CorrBlock (line 25) | class CorrBlock:
    method __init__ (line 26) | def __init__(self, fmap1, fmap2, num_levels=4, radius=4):
    method __call__ (line 42) | def __call__(self, coords):
    method append (line 54) | def append(self, other):
    method remove (line 58) | def remove(self, ix):
    method corr (line 63) | def corr(fmap1, fmap2):
  class CorrLayer (line 73) | class CorrLayer(torch.autograd.Function):
    method forward (line 75) | def forward(ctx, fmap1, fmap2, coords, r):
    method backward (line 85) | def backward(ctx, grad_corr):
  class AltCorrBlock (line 94) | class AltCorrBlock:
    method __init__ (line 95) | def __init__(self, fmaps, inds, num_levels=4, radius=3):
    method corr_fn (line 110) | def corr_fn(self, coords, ii, jj):
    method __call__ (line 132) | def __call__(self, coords, ii, jj):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/modules/extractor.py
  class ResidualBlock (line 6) | class ResidualBlock(nn.Module):
    method __init__ (line 7) | def __init__(self, in_planes, planes, norm_fn='group', stride=1):
    method forward (line 47) | def forward(self, x):
  class BottleneckBlock (line 58) | class BottleneckBlock(nn.Module):
    method __init__ (line 59) | def __init__(self, in_planes, planes, norm_fn='group', stride=1):
    method forward (line 104) | def forward(self, x):
  class BasicEncoder (line 118) | class BasicEncoder(nn.Module):
    method __init__ (line 119) | def __init__(self, output_dim=128, norm_fn='batch', dropout=0.0, multi...
    method _make_layer (line 175) | def _make_layer(self, dim, stride=1):
    method forward (line 183) | def forward(self, x):
  class BasicEncoder16 (line 202) | class BasicEncoder16(nn.Module):
    method __init__ (line 203) | def __init__(self, output_dim=128, norm_fn='batch', dropout=0.0, multi...
    method _make_layer (line 247) | def _make_layer(self, dim, stride=1):
    method forward (line 255) | def forward(self, x):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/modules/gru.py
  class ConvGRU (line 4) | class ConvGRU(nn.Module):
    method __init__ (line 5) | def __init__(self, h_planes=128, i_planes=128):
    method forward (line 12) | def forward(self, net, *inputs):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/modules/unet.py
  class GradClip (line 10) | class GradClip(torch.autograd.Function):
    method forward (line 12) | def forward(ctx, x):
    method backward (line 16) | def backward(ctx, grad_x):
  function double_conv (line 23) | def double_conv(in_channels, out_channels):
  class UNet (line 32) | class UNet(nn.Module):
    method __init__ (line 34) | def __init__(self):
    method forward (line 53) | def forward(self, x):

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/rslam.py
  class UpdateModule (line 20) | class UpdateModule(nn.Module):
    method __init__ (line 21) | def __init__(self, args):
    method forward (line 54) | def forward(self, net, inp, corr, flow):
  class RaftSLAM (line 79) | class RaftSLAM(nn.Module):
    method __init__ (line 80) | def __init__(self, args):
    method extract_features (line 87) | def extract_features(self, images):
    method forward (line 97) | def forward(self, Gs, images, depths, intrinsics, graph=None, num_step...

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/sim3_net.py
  class UpdateModule (line 20) | class UpdateModule(nn.Module):
    method __init__ (line 21) | def __init__(self, args):
    method forward (line 50) | def forward(self, net, inp, corr, dz):
  class Sim3Net (line 74) | class Sim3Net(nn.Module):
    method __init__ (line 75) | def __init__(self, args):
    method extract_features (line 82) | def extract_features(self, images):
    method forward (line 92) | def forward(self, Gs, images, depths, intrinsics, graph=None, num_step...

FILE: VO_Module/thirdparty/lietorch/examples/core/networks/slam_system.py
  function meshgrid (line 18) | def meshgrid(m, n, device='cuda'):
  function normalize_images (line 22) | def normalize_images(images):
  class FactorGraph (line 28) | class FactorGraph:
    method __init__ (line 29) | def __init__(self, hidden=None, inputs=None, residu=None, ii=None, jj=...
    method __iadd__ (line 36) | def __iadd__(self, other):
    method rm (line 52) | def rm(self, keep):
  class SLAMSystem (line 60) | class SLAMSystem(RaftSLAM):
    method __init__ (line 61) | def __init__(self, args):
    method initialize (line 75) | def initialize(self, ht, wd):
    method set_frontend (line 90) | def set_frontend(self, frontend):
    method add_point_cloud (line 93) | def add_point_cloud(self, index, image, pose, depth, intrinsics, s=8):
    method get_keyframes (line 119) | def get_keyframes(self):
    method raw_poses (line 123) | def raw_poses(self):
    method add_keyframe (line 126) | def add_keyframe(self, tstamp, image, depth, intrinsics):
    method get_node_attributes (line 152) | def get_node_attributes(self, index):
    method add_factors (line 156) | def add_factors(self, ii, jj):
    method transform_project (line 163) | def transform_project(self, ii, jj, **kwargs):
    method moba (line 167) | def moba(self, num_steps=5, is_init=False):
    method track (line 214) | def track(self, tstamp, image, depth, intrinsics):
    method forward (line 247) | def forward(self, poses, images, depths, intrinsics, num_steps=12):
    method global_refinement (line 326) | def global_refinement(self):

FILE: VO_Module/thirdparty/lietorch/examples/pgo/main.py
  function draw (line 11) | def draw(verticies):
  function info2mat (line 25) | def info2mat(info):
  function read_g2o (line 35) | def read_g2o(fn):
  function write_g2o (line 56) | def write_g2o(pose_graph, fn):
  function reshaping_fn (line 67) | def reshaping_fn(dE, b=1.5):
  function gradient_initializer (line 73) | def gradient_initializer(pose_graph, n_steps=500, lr_init=0.2):

FILE: VO_Module/thirdparty/lietorch/examples/registration/demo.py
  function normalize_images (line 13) | def normalize_images(images):
  function load_example (line 19) | def load_example(i=0):
  function demo (line 48) | def demo(model, index=0):

FILE: VO_Module/thirdparty/lietorch/examples/registration/main.py
  function show_image (line 23) | def show_image(image):
  function normalize_images (line 28) | def normalize_images(images):
  function evaluate (line 35) | def evaluate(model):
  function train (line 106) | def train(args):

FILE: VO_Module/thirdparty/lietorch/examples/registration/viz.py
  function make_point_cloud (line 12) | def make_point_cloud(image, depth, intrinsics, max_depth=5.0):
  function set_camera_pose (line 32) | def set_camera_pose(vis):
  function sim3_visualization (line 45) | def sim3_visualization(T, images, depths, intrinsics):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/demo.py
  function show_image (line 16) | def show_image(image):
  function evaluate (line 21) | def evaluate(poses_gt, poses_est):
  function run_slam (line 36) | def run_slam(tracker, datapath, frame_rate=8.0):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/evaluate.py
  function evaluate (line 14) | def evaluate(poses_gt, poses_est):
  function run_slam (line 29) | def run_slam(tracker, datapath, global_optimization=False, frame_rate=3):
  function run_evaluation (line 50) | def run_evaluation(ckpt, frame_rate=8.0):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/reprojection_test.py
  function show_image (line 15) | def show_image(image):
  function reproj_test (line 22) | def reproj_test(args, N=2):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/rgbd_benchmark/associate.py
  function read_file_list (line 49) | def read_file_list(filename):
  function associate (line 71) | def associate(first_list, second_list,offset=0.0,max_difference=0.02):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/rgbd_benchmark/evaluate_ate.py
  function align (line 50) | def align(model,data):
  function plot_traj (line 84) | def plot_traj(ax,stamps,traj,style,color,label):
  function evaluate_ate (line 116) | def evaluate_ate(first_list, second_list, _args=""):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/rgbd_benchmark/evaluate_rpe.py
  function transform44 (line 46) | def transform44(l):
  function read_trajectory (line 76) | def read_trajectory(filename, matrix=True):
  function find_closest_index (line 110) | def find_closest_index(L,t):
  function ominus (line 138) | def ominus(a,b):
  function scale (line 151) | def scale(a,scalar):
  function compute_distance (line 162) | def compute_distance(transform):
  function compute_angle (line 168) | def compute_angle(transform):
  function distances_along_trajectory (line 175) | def distances_along_trajectory(traj):
  function rotations_along_trajectory (line 189) | def rotations_along_trajectory(traj,scale):
  function evaluate_trajectory (line 204) | def evaluate_trajectory(traj_gt,traj_est,param_max_pairs=10000,param_fix...
  function percentile (line 299) | def percentile(seq,q):
  function evaluate_rpe (line 308) | def evaluate_rpe(_args):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/train.py
  function show_image (line 21) | def show_image(image):
  function normalize_images (line 26) | def normalize_images(images):
  function train (line 32) | def train(args):

FILE: VO_Module/thirdparty/lietorch/examples/rgbdslam/viz.py
  function pose_matrix_from_quaternion (line 12) | def pose_matrix_from_quaternion(pvec):
  function create_camera_actor (line 19) | def create_camera_actor(is_gt=False, scale=0.05):
  function create_point_cloud_actor (line 44) | def create_point_cloud_actor(points, colors):
  function draw_trajectory (line 53) | def draw_trajectory(queue):
  class SLAMFrontend (line 134) | class SLAMFrontend:
    method __init__ (line 135) | def __init__(self):
    method update_pose (line 139) | def update_pose(self, index, pose, gt=False):
    method update_points (line 144) | def update_points(self, index, points, colors):
    method reset (line 149) | def reset(self):
    method start (line 152) | def start(self):
    method join (line 156) | def join(self):

FILE: VO_Module/thirdparty/lietorch/lietorch/broadcasting.py
  function check_broadcastable (line 4) | def check_broadcastable(x, y):
  function broadcast_inputs (line 9) | def broadcast_inputs(x, y):

FILE: VO_Module/thirdparty/lietorch/lietorch/extras/extras.cpp
  function corr_index_forward (line 86) | std::vector<torch::Tensor> corr_index_forward(
  function corr_index_backward (line 96) | std::vector<torch::Tensor> corr_index_backward(
  function altcorr_forward (line 109) | std::vector<torch::Tensor> altcorr_forward(
  function altcorr_backward (line 121) | std::vector<torch::Tensor> altcorr_backward(
  function se3_build (line 136) | std::vector<torch::Tensor> se3_build(
  function se3_build_backward (line 156) | std::vector<torch::Tensor> se3_build_backward(
  function se3_build_inplace (line 181) | std::vector<torch::Tensor> se3_build_inplace(
  function se3_build_inplace_backward (line 201) | std::vector<torch::Tensor> se3_build_inplace_backward(
  function cholesky6x6_forward (line 227) | std::vector<torch::Tensor> cholesky6x6_forward(
  function cholesky6x6_backward (line 236) | std::vector<torch::Tensor> cholesky6x6_backward(
  function PYBIND11_MODULE (line 248) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: VO_Module/thirdparty/lietorch/lietorch/gradcheck.py
  function zero_gradients (line 18) | def zero_gradients(x):
  function make_jacobian (line 28) | def make_jacobian(input, num_out):
  function iter_tensors (line 45) | def iter_tensors(x: Union[torch.Tensor, Iterable[torch.Tensor]], only_re...
  function get_numerical_jacobian (line 55) | def get_numerical_jacobian(fn, input, target=None, eps=1e-3, grad_out=1.0):
  function get_analytical_jacobian (line 169) | def get_analytical_jacobian(input, output, nondet_tol=0.0, grad_out=1.0):
  function _as_tuple (line 213) | def _as_tuple(x):
  function _differentiable_outputs (line 228) | def _differentiable_outputs(x):
  function gradcheck (line 241) | def gradcheck(
  function gradgradcheck (line 502) | def gradgradcheck(

FILE: VO_Module/thirdparty/lietorch/lietorch/group_ops.py
  class GroupOp (line 7) | class GroupOp(torch.autograd.Function):
    method forward (line 11) | def forward(cls, ctx, group_id, *inputs):
    method backward (line 18) | def backward(cls, ctx, grad):
  class Exp (line 28) | class Exp(GroupOp):
  class Log (line 32) | class Log(GroupOp):
  class Inv (line 36) | class Inv(GroupOp):
  class Mul (line 40) | class Mul(GroupOp):
  class Adj (line 44) | class Adj(GroupOp):
  class AdjT (line 48) | class AdjT(GroupOp):
  class Act3 (line 52) | class Act3(GroupOp):
  class Act4 (line 56) | class Act4(GroupOp):
  class Jinv (line 60) | class Jinv(GroupOp):
  class ToMatrix (line 64) | class ToMatrix(GroupOp):
  class FromVec (line 73) | class FromVec(torch.autograd.Function):
    method forward (line 77) | def forward(cls, ctx, group_id, *inputs):
    method backward (line 83) | def backward(cls, ctx, grad):
  class ToVec (line 88) | class ToVec(torch.autograd.Function):
    method forward (line 92) | def forward(cls, ctx, group_id, *inputs):
    method backward (line 98) | def backward(cls, ctx, grad):

FILE: VO_Module/thirdparty/lietorch/lietorch/groups.py
  class LieGroupParameter (line 9) | class LieGroupParameter(torch.Tensor):
    method __new__ (line 15) | def __new__(cls, group, requires_grad=True):
    method __init__ (line 23) | def __init__(self, group):
    method retr (line 26) | def retr(self):
    method log (line 29) | def log(self):
    method inv (line 32) | def inv(self):
    method adj (line 35) | def adj(self, a):
    method __mul__ (line 38) | def __mul__(self, other):
    method add_ (line 44) | def add_(self, update, alpha):
    method __getitem__ (line 47) | def __getitem__(self, index):
  class LieGroup (line 51) | class LieGroup:
    method __init__ (line 54) | def __init__(self, data):
    method __repr__ (line 57) | def __repr__(self):
    method shape (line 62) | def shape(self):
    method device (line 66) | def device(self):
    method dtype (line 70) | def dtype(self):
    method vec (line 73) | def vec(self):
    method tangent_shape (line 77) | def tangent_shape(self):
    method Identity (line 81) | def Identity(cls, *batch_shape, **kwargs):
    method IdentityLike (line 103) | def IdentityLike(cls, G):
    method InitFromVec (line 107) | def InitFromVec(cls, data):
    method Random (line 111) | def Random(cls, *batch_shape, sigma=1.0, **kwargs):
    method apply_op (line 125) | def apply_op(cls, op, x, y=None):
    method exp (line 133) | def exp(cls, x):
    method quaternion (line 137) | def quaternion(self):
    method log (line 141) | def log(self):
    method inv (line 145) | def inv(self):
    method mul (line 149) | def mul(self, other):
    method retr (line 153) | def retr(self, a):
    method adj (line 158) | def adj(self, a):
    method adjT (line 162) | def adjT(self, a):
    method Jinv (line 166) | def Jinv(self, a):
    method act (line 169) | def act(self, p):
    method matrix (line 180) | def matrix(self):
    method translation (line 186) | def translation(self):
    method detach (line 192) | def detach(self):
    method view (line 195) | def view(self, dims):
    method __mul__ (line 199) | def __mul__(self, other):
    method __getitem__ (line 208) | def __getitem__(self, index):
    method __setitem__ (line 211) | def __setitem__(self, index, item):
    method to (line 214) | def to(self, *args, **kwargs):
    method cpu (line 217) | def cpu(self):
    method cuda (line 220) | def cuda(self):
    method float (line 223) | def float(self, device):
    method double (line 226) | def double(self, device):
    method unbind (line 229) | def unbind(self, dim=0):
  class SO3 (line 233) | class SO3(LieGroup):
    method __init__ (line 242) | def __init__(self, data):
  class RxSO3 (line 249) | class RxSO3(LieGroup):
    method __init__ (line 258) | def __init__(self, data):
  class SE3 (line 265) | class SE3(LieGroup):
    method __init__ (line 274) | def __init__(self, data):
    method scale (line 281) | def scale(self, s):
  class Sim3 (line 287) | class Sim3(LieGroup):
    method __init__ (line 296) | def __init__(self, data):
  function cat (line 313) | def cat(group_list, dim):
  function stack (line 318) | def stack(group_list, dim):

FILE: VO_Module/thirdparty/lietorch/lietorch/include/rxso3.h
  function EIGEN_DEVICE_FUNC (line 32) | EIGEN_DEVICE_FUNC RxSO3(Quaternion const& q, Scalar const s)
  function EIGEN_DEVICE_FUNC (line 37) | EIGEN_DEVICE_FUNC RxSO3(const Scalar *data) : unit_quaternion(data), sca...
  function EIGEN_DEVICE_FUNC (line 41) | EIGEN_DEVICE_FUNC RxSO3() {
  function EIGEN_DEVICE_FUNC (line 46) | EIGEN_DEVICE_FUNC RxSO3<Scalar> inv() {
  function EIGEN_DEVICE_FUNC (line 50) | EIGEN_DEVICE_FUNC Data data() const {
  function EIGEN_DEVICE_FUNC (line 65) | EIGEN_DEVICE_FUNC Point4 act4(Point4 const& p) const {
  function EIGEN_DEVICE_FUNC (line 70) | EIGEN_DEVICE_FUNC Adjoint Adj() const {
  function EIGEN_DEVICE_FUNC (line 108) | EIGEN_DEVICE_FUNC Tangent Adj(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 112) | EIGEN_DEVICE_FUNC Tangent AdjT(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 121) | EIGEN_DEVICE_FUNC static Adjoint adj(Tangent const& phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 131) | EIGEN_DEVICE_FUNC Tangent Log() const {
  function EIGEN_DEVICE_FUNC (line 168) | EIGEN_DEVICE_FUNC static RxSO3<Scalar> Exp(Tangent const& phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 190) | EIGEN_DEVICE_FUNC static Matrix3 calcW(Tangent const& phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 235) | EIGEN_DEVICE_FUNC static Matrix3 calcWInv(Tangent const& phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 286) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian(Tangent const& phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 294) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian_inverse(Tangent const& ph...

FILE: VO_Module/thirdparty/lietorch/lietorch/include/se3.h
  function EIGEN_DEVICE_FUNC (line 30) | EIGEN_DEVICE_FUNC SE3() { translation = Vector3::Zero(); }
  function EIGEN_DEVICE_FUNC (line 32) | EIGEN_DEVICE_FUNC SE3(SO3<Scalar> const& so3, Vector3 const& t) : so3(so...
  function EIGEN_DEVICE_FUNC (line 34) | EIGEN_DEVICE_FUNC SE3(const Scalar *data) :  translation(data), so3(data...
  function EIGEN_DEVICE_FUNC (line 36) | EIGEN_DEVICE_FUNC SE3<Scalar> inv() {
  function EIGEN_DEVICE_FUNC (line 40) | EIGEN_DEVICE_FUNC Data data() const {
  function EIGEN_DEVICE_FUNC (line 53) | EIGEN_DEVICE_FUNC Point4 act4(Point4 const& p) const {
  function EIGEN_DEVICE_FUNC (line 58) | EIGEN_DEVICE_FUNC Adjoint Adj() const {
  function EIGEN_DEVICE_FUNC (line 80) | EIGEN_DEVICE_FUNC Tangent Adj(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 84) | EIGEN_DEVICE_FUNC Tangent AdjT(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 100) | EIGEN_DEVICE_FUNC static Adjoint adj(Tangent const& tau_phi) {
  function EIGEN_DEVICE_FUNC (line 124) | EIGEN_DEVICE_FUNC Tangent Log() const {
  function EIGEN_DEVICE_FUNC (line 144) | EIGEN_DEVICE_FUNC static Matrix3 calcQ(Tangent const& tau_phi) {
  function EIGEN_DEVICE_FUNC (line 175) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian(Tangent const& tau_phi) {
  function EIGEN_DEVICE_FUNC (line 188) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian_inverse(Tangent const& ta...

FILE: VO_Module/thirdparty/lietorch/lietorch/include/sim3.h
  function EIGEN_DEVICE_FUNC (line 33) | EIGEN_DEVICE_FUNC Sim3() {
  function EIGEN_DEVICE_FUNC (line 37) | EIGEN_DEVICE_FUNC Sim3(RxSO3<Scalar> const& rxso3, Vector3 const& t)
  function EIGEN_DEVICE_FUNC (line 40) | EIGEN_DEVICE_FUNC Sim3(const Scalar *data)
  function EIGEN_DEVICE_FUNC (line 43) | EIGEN_DEVICE_FUNC Sim3<Scalar> inv() {
  function EIGEN_DEVICE_FUNC (line 47) | EIGEN_DEVICE_FUNC Data data() const {
  function EIGEN_DEVICE_FUNC (line 60) | EIGEN_DEVICE_FUNC Point4 act4(Point4 const& p) const {
  function EIGEN_DEVICE_FUNC (line 65) | EIGEN_DEVICE_FUNC Transformation Matrix() const {
  function EIGEN_DEVICE_FUNC (line 89) | EIGEN_DEVICE_FUNC Adjoint Adj() const {
  function EIGEN_DEVICE_FUNC (line 107) | EIGEN_DEVICE_FUNC Tangent AdjT(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 126) | EIGEN_DEVICE_FUNC  static Adjoint adj(Tangent const& tau_phi_sigma) {
  function EIGEN_DEVICE_FUNC (line 145) | EIGEN_DEVICE_FUNC Tangent Log() const {
  function EIGEN_DEVICE_FUNC (line 167) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian(Tangent const& tau_phi_si...
  function EIGEN_DEVICE_FUNC (line 181) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian_inverse(Tangent const& ta...

FILE: VO_Module/thirdparty/lietorch/lietorch/include/so3.h
  function EIGEN_DEVICE_FUNC (line 31) | EIGEN_DEVICE_FUNC SO3(Quaternion const& q) : unit_quaternion(q) {
  function EIGEN_DEVICE_FUNC (line 35) | EIGEN_DEVICE_FUNC SO3(const Scalar *data) : unit_quaternion(data) {
  function EIGEN_DEVICE_FUNC (line 39) | EIGEN_DEVICE_FUNC SO3() {
  function EIGEN_DEVICE_FUNC (line 43) | EIGEN_DEVICE_FUNC SO3<Scalar> inv() {
  function EIGEN_DEVICE_FUNC (line 51) | EIGEN_DEVICE_FUNC SO3<Scalar> operator*(SO3<Scalar> const& other) {
  function EIGEN_DEVICE_FUNC (line 62) | EIGEN_DEVICE_FUNC Point4 act4(Point4 const& p) const {
  function EIGEN_DEVICE_FUNC (line 93) | EIGEN_DEVICE_FUNC Tangent Adj(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 97) | EIGEN_DEVICE_FUNC Tangent AdjT(Tangent const& a) const {
  function EIGEN_DEVICE_FUNC (line 111) | EIGEN_DEVICE_FUNC static Adjoint adj(Tangent const& phi) {
  function EIGEN_DEVICE_FUNC (line 115) | EIGEN_DEVICE_FUNC Tangent Log() const {
  function EIGEN_DEVICE_FUNC (line 153) | EIGEN_DEVICE_FUNC static SO3<Scalar> Exp(Tangent const& phi) {
  function EIGEN_DEVICE_FUNC (line 172) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian(Tangent const& phi) {
  function EIGEN_DEVICE_FUNC (line 192) | EIGEN_DEVICE_FUNC static Adjoint left_jacobian_inverse(Tangent const& ph...

FILE: VO_Module/thirdparty/lietorch/lietorch/run_tests.py
  function make_homogeneous (line 10) | def make_homogeneous(p):
  function matv (line 13) | def matv(A, b):
  function test_exp_log (line 16) | def test_exp_log(Group, device='cuda'):
  function test_inv (line 23) | def test_inv(Group, device='cuda'):
  function test_adj (line 30) | def test_adj(Group, device='cuda'):
  function test_act (line 44) | def test_act(Group, device='cuda'):
  function test_exp_log_grad (line 56) | def test_exp_log_grad(Group, device='cuda', tol=1e-8):
  function test_inv_log_grad (line 78) | def test_inv_log_grad(Group, device='cuda', tol=1e-8):
  function test_adj_grad (line 97) | def test_adj_grad(Group, device='cuda'):
  function test_adjT_grad (line 114) | def test_adjT_grad(Group, device='cuda'):
  function test_act_grad (line 132) | def test_act_grad(Group, device='cuda'):
  function test_matrix_grad (line 150) | def test_matrix_grad(Group, device='cuda'):
  function extract_translation_grad (line 164) | def extract_translation_grad(Group, device='cuda'):
  function test_vec_grad (line 181) | def test_vec_grad(Group, device='cuda', tol=1e-6):
  function test_fromvec_grad (line 197) | def test_fromvec_grad(Group, device='cuda', tol=1e-6):
  function scale (line 230) | def scale(device='cuda'):

FILE: VO_Module/thirdparty/lietorch/lietorch/src/lietorch.cpp
  function expm (line 18) | torch::Tensor expm(int group_index, torch::Tensor a) {
  function expm_backward (line 30) | std::vector<torch::Tensor> expm_backward(int group_index, torch::Tensor ...
  function logm (line 43) | torch::Tensor logm(int group_index, torch::Tensor X) {
  function logm_backward (line 55) | std::vector<torch::Tensor> logm_backward(int group_index, torch::Tensor ...
  function inv (line 69) | torch::Tensor inv(int group_index, torch::Tensor X) {
  function inv_backward (line 81) | std::vector<torch::Tensor> inv_backward(int group_index, torch::Tensor g...
  function mul (line 97) | torch::Tensor mul(int group_index, torch::Tensor X, torch::Tensor Y) {
  function mul_backward (line 111) | std::vector<torch::Tensor> mul_backward(int group_index, torch::Tensor g...
  function adj (line 126) | torch::Tensor adj(int group_index, torch::Tensor X, torch::Tensor a) {
  function adj_backward (line 140) | std::vector<torch::Tensor> adj_backward(int group_index, torch::Tensor g...
  function adjT (line 155) | torch::Tensor adjT(int group_index, torch::Tensor X, torch::Tensor a) {
  function adjT_backward (line 169) | std::vector<torch::Tensor> adjT_backward(int group_index, torch::Tensor ...
  function act (line 185) | torch::Tensor act(int group_index, torch::Tensor X, torch::Tensor p) {
  function act_backward (line 199) | std::vector<torch::Tensor> act_backward(int group_index, torch::Tensor g...
  function act4 (line 214) | torch::Tensor act4(int group_index, torch::Tensor X, torch::Tensor p) {
  function act4_backward (line 228) | std::vector<torch::Tensor> act4_backward(int group_index, torch::Tensor ...
  function projector (line 244) | torch::Tensor projector(int group_index, torch::Tensor X) {
  function as_matrix (line 258) | torch::Tensor as_matrix(int group_index, torch::Tensor X) {
  function Jinv (line 271) | torch::Tensor Jinv(int group_index, torch::Tensor X, torch::Tensor a) {
  function PYBIND11_MODULE (line 286) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: VO_Module/thirdparty/lietorch/lietorch/src/lietorch_cpu.cpp
  function exp_forward_kernel (line 16) | void exp_forward_kernel(const scalar_t* a_ptr, scalar_t* X_ptr, int batc...
  function exp_backward_kernel (line 30) | void exp_backward_kernel(const scalar_t* grad, const scalar_t* a_ptr, sc...
  function log_forward_kernel (line 45) | void log_forward_kernel(const scalar_t* X_ptr, scalar_t* a_ptr, int batc...
  function log_backward_kernel (line 58) | void log_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, sc...
  function inv_forward_kernel (line 73) | void inv_forward_kernel(const scalar_t* X_ptr, scalar_t* Y_ptr, int batc...
  function inv_backward_kernel (line 87) | void inv_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, sc...
  function mul_forward_kernel (line 102) | void mul_forward_kernel(const scalar_t* X_ptr, const scalar_t* Y_ptr, sc...
  function mul_backward_kernel (line 116) | void mul_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, co...
  function adj_forward_kernel (line 133) | void adj_forward_kernel(const scalar_t* X_ptr, const scalar_t* a_ptr, sc...
  function adj_backward_kernel (line 148) | void adj_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, co...
  function adjT_forward_kernel (line 169) | void adjT_forward_kernel(const scalar_t* X_ptr, const scalar_t* a_ptr, s...
  function adjT_backward_kernel (line 184) | void adjT_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, c...
  function act_forward_kernel (line 204) | void act_forward_kernel(const scalar_t* X_ptr, const scalar_t* p_ptr, sc...
  function act_backward_kernel (line 220) | void act_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, co...
  function act4_forward_kernel (line 273) | void act4_forward_kernel(const scalar_t* X_ptr, const scalar_t* p_ptr, s...
  function act4_backward_kernel (line 289) | void act4_backward_kernel(const scalar_t* grad, const scalar_t* X_ptr, c...
  function as_matrix_forward_kernel (line 312) | void as_matrix_forward_kernel(const scalar_t* X_ptr, scalar_t* T_ptr, in...
  function orthogonal_projector_kernel (line 327) | void orthogonal_projector_kernel(const scalar_t* X_ptr, scalar_t* P_ptr,...
  function jleft_forward_kernel (line 339) | void jleft_forward_kernel(const scalar_t* X_ptr, const scalar_t* a_ptr, ...
  function exp_forward_cpu (line 356) | torch::Tensor exp_forward_cpu(int group_id, torch::Tensor a) {
  function exp_backward_cpu (line 371) | std::vector<torch::Tensor> exp_backward_cpu(int group_id, torch::Tensor ...
  function log_forward_cpu (line 386) | torch::Tensor log_forward_cpu(int group_id, torch::Tensor X) {
  function log_backward_cpu (line 401) | std::vector<torch::Tensor> log_backward_cpu(int group_id, torch::Tensor ...
  function inv_forward_cpu (line 416) | torch::Tensor inv_forward_cpu(int group_id, torch::Tensor X) {
  function inv_backward_cpu (line 430) | std::vector<torch::Tensor> inv_backward_cpu(int group_id, torch::Tensor ...
  function mul_forward_cpu (line 446) | torch::Tensor mul_forward_cpu(int group_id, torch::Tensor X, torch::Tens...
  function mul_backward_cpu (line 461) | std::vector<torch::Tensor> mul_backward_cpu(int group_id, torch::Tensor ...
  function adj_forward_cpu (line 479) | torch::Tensor adj_forward_cpu(int group_id, torch::Tensor X, torch::Tens...
  function adj_backward_cpu (line 494) | std::vector<torch::Tensor> adj_backward_cpu(int group_id, torch::Tensor ...
  function adjT_forward_cpu (line 513) | torch::Tensor adjT_forward_cpu(int group_id, torch::Tensor X, torch::Ten...
  function adjT_backward_cpu (line 528) | std::vector<torch::Tensor> adjT_backward_cpu(int group_id, torch::Tensor...
  function act_forward_cpu (line 547) | torch::Tensor act_forward_cpu(int group_id, torch::Tensor X, torch::Tens...
  function act_backward_cpu (line 562) | std::vector<torch::Tensor> act_backward_cpu(int group_id, torch::Tensor ...
  function act4_forward_cpu (line 581) | torch::Tensor act4_forward_cpu(int group_id, torch::Tensor X, torch::Ten...
  function act4_backward_cpu (line 596) | std::vector<torch::Tensor> act4_backward_cpu(int group_id, torch::Tensor...
  function as_matrix_forward_cpu (line 615) | torch::Tensor as_matrix_forward_cpu(int group_id, torch::Tensor X) {
  function orthogonal_projector_cpu (line 630) | torch::Tensor orthogonal_projector_cpu(int group_id, torch::Tensor X) {
  function jleft_forward_cpu (line 644) | torch::Tensor jleft_forward_cpu(int group_id, torch::Tensor X, torch::Te...

FILE: VO_Module/thirdparty/tartanair_tools/download_training.py
  function get_args (line 5) | def get_args():
  function _help (line 48) | def _help():

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/evaluate_ate_scale.py
  function align (line 49) | def align(model,data,calc_scale=False):
  function plot_traj (line 102) | def plot_traj(ax,stamps,traj,style,color,label):

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/evaluate_kitti.py
  function trajectory_distances (line 9) | def trajectory_distances(poses):
  function last_frame_from_segment_length (line 19) | def last_frame_from_segment_length(dist,first_frame,length):
  function rotation_error (line 25) | def rotation_error(pose_error):
  function translation_error (line 33) | def translation_error(pose_error):
  function calculate_sequence_error (line 45) | def calculate_sequence_error(poses_gt,poses_result,lengths=[10,20,30,40,...
  function calculate_ave_errors (line 86) | def calculate_ave_errors(errors,lengths=[10,20,30,40,50,60,70,80]):
  function evaluate (line 105) | def evaluate(gt, data,rescale_=False):
  function main (line 111) | def  main():

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/evaluate_rpe.py
  function ominus (line 44) | def ominus(a,b):
  function compute_distance (line 57) | def compute_distance(transform):
  function compute_angle (line 63) | def compute_angle(transform):
  function distances_along_trajectory (line 70) | def distances_along_trajectory(traj):
  function evaluate_trajectory (line 83) | def evaluate_trajectory(traj_gt, traj_est, param_max_pairs=10000, param_...

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/evaluator_base.py
  function transform_trajs (line 11) | def transform_trajs(gt_traj, est_traj, cal_scale):
  function quats2SEs (line 20) | def quats2SEs(gt_traj, est_traj):
  class ATEEvaluator (line 28) | class ATEEvaluator(object):
    method __init__ (line 29) | def __init__(self):
    method evaluate (line 33) | def evaluate(self, gt_traj, est_traj, scale):
  class RPEEvaluator (line 61) | class RPEEvaluator(object):
    method __init__ (line 62) | def __init__(self):
    method evaluate (line 66) | def evaluate(self, gt_SEs, est_SEs):
  class KittiEvaluator (line 83) | class KittiEvaluator(object):
    method __init__ (line 84) | def __init__(self):
    method evaluate (line 88) | def evaluate(self, gt_SEs, est_SEs):

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/tartanair_evaluator.py
  function plot_traj (line 12) | def plot_traj(gtposes, estposes, vis=False, savefigname=None, title=''):
  class TartanAirEvaluator (line 40) | class TartanAirEvaluator:
    method __init__ (line 41) | def __init__(self, scale = False, round=1):
    method evaluate_one_trajectory (line 46) | def evaluate_one_trajectory(self, gt_traj, est_traj, scale=False, titl...

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/trajectory_transform.py
  function shift0 (line 7) | def shift0(traj):
  function ned2cam (line 21) | def ned2cam(traj):
  function cam2ned (line 39) | def cam2ned(traj):
  function trajectory_transform (line 58) | def trajectory_transform(gt_traj, est_traj):
  function rescale_bk (line 71) | def rescale_bk(poses_gt, poses):
  function pose2trans (line 88) | def pose2trans(pose_data):
  function rescale (line 98) | def rescale(poses_gt, poses):
  function trajectory_scale (line 118) | def trajectory_scale(traj, scale):
  function timestamp_associate (line 123) | def timestamp_associate(first_list, second_list, max_difference):

FILE: VO_Module/thirdparty/tartanair_tools/evaluation/transformation.py
  function line2mat (line 8) | def line2mat(line_data):
  function motion2pose (line 13) | def motion2pose(data):
  function pose2motion (line 23) | def pose2motion(data):
  function SE2se (line 32) | def SE2se(SE_data):
  function SO2so (line 38) | def SO2so(SO_data):
  function so2SO (line 41) | def so2SO(so_data):
  function se2SE (line 44) | def se2SE(se_data):
  function se_mean (line 50) | def se_mean(se_datas):
  function ses_mean (line 60) | def ses_mean(se_datas):
  function ses2poses (line 69) | def ses2poses(data):
  function SEs2ses (line 82) | def SEs2ses(motion_data):
  function so2quat (line 91) | def so2quat(so_data):
  function quat2so (line 100) | def quat2so(quat_data):
  function sos2quats (line 111) | def sos2quats(so_datas,mean_std=[[1],[1]]):
  function SO2quat (line 123) | def SO2quat(SO_data):
  function quat2SO (line 127) | def quat2SO(quat_data):
  function pos_quat2SE (line 131) | def pos_quat2SE(quat_data):
  function pos_quats2SEs (line 140) | def pos_quats2SEs(quat_datas):
  function pos_quats2SE_matrices (line 149) | def pos_quats2SE_matrices(quat_datas):
  function SE2pos_quat (line 160) | def SE2pos_quat(SE_data):

FILE: VO_Module/tools/vis.py
  function load_weights (line 29) | def load_weights(weights, device):
  function resize (line 38) | def resize(mask, size, need_permute):
  function resize_flow (line 51) | def resize_flow(flow, size):
  function occ_warp_img_ (line 64) | def occ_warp_img_(u0, v0, flow1, dep_uv, ref_img, fix_img, dy_mask):
  function occ_warp_img (line 105) | def occ_warp_img(u0, v0, flow1, dep_uv, ref_img, fix_img, dy_mask, segme...

FILE: VO_Module/tools/vis_2.py
  function load_weights (line 23) | def load_weights(weights, device):
  function resize (line 32) | def resize(mask, size, need_permute):
  function resize_flow (line 45) | def resize_flow(flow, size):
  function occ_warp_img (line 58) | def occ_warp_img(u0, v0, flow1, dep_uv, ref_img, fix_img=None, dy_mask=N...
  function occ_warp_img_seg (line 168) | def occ_warp_img_seg(ori_u0, ori_v0, flow1, ori_dep_uv, ref_img, \
  function occ_warp_img_seg1 (line 314) | def occ_warp_img_seg1(u0, v0, flow1, dep_uv, ref_img, fix_img=None, dy_m...

FILE: VO_Module/tools/vis_ori.py
  function load_weights (line 23) | def load_weights(weights, device):
  function resize (line 32) | def resize(mask, size, need_permute):
  function resize_flow (line 45) | def resize_flow(flow, size):
  function occ_warp_img (line 58) | def occ_warp_img(u0, v0, flow1, dep_uv, ref_img, fix_img, dy_mask):

FILE: VO_Module/train.py
  function setup_ddp (line 33) | def setup_ddp(index, gpu, args):
  function show_image (line 44) | def show_image(image):
  function train (line 50) | def train(index, args):

FILE: VPS_Module/configs/Misc/torchvision_imagenet_R_50.py
  function build_data_loader (line 40) | def build_data_loader(dataset, batch_size, num_workers, training=True):
  class ClassificationNet (line 50) | class ClassificationNet(nn.Module):
    method __init__ (line 51) | def __init__(self, model: nn.Module):
    method device (line 56) | def device(self):
    method forward (line 59) | def forward(self, inputs):
  class ClassificationAcc (line 69) | class ClassificationAcc(DatasetEvaluator):
    method reset (line 70) | def reset(self):
    method process (line 73) | def process(self, inputs, outputs):
    method evaluate (line 78) | def evaluate(self):

FILE: VPS_Module/configs/common/coco_schedule.py
  function default_X_scheduler (line 7) | def default_X_scheduler(num_X):

FILE: VPS_Module/demo/demo.py
  function setup_cfg (line 23) | def setup_cfg(args):
  function get_parser (line 39) | def get_parser():
  function test_opencv_video_format (line 76) | def test_opencv_video_format(codec, file_ext):

FILE: VPS_Module/demo/predictor.py
  class VisualizationDemo (line 15) | class VisualizationDemo(object):
    method __init__ (line 16) | def __init__(self, cfg, instance_mode=ColorMode.IMAGE, parallel=False):
    method run_on_image (line 37) | def run_on_image(self, image):
    method _frame_from_video (line 68) | def _frame_from_video(self, video):
    method run_on_video (line 76) | def run_on_video(self, video):
  class AsyncPredictor (line 132) | class AsyncPredictor:
    class _StopToken (line 139) | class _StopToken:
    class _PredictWorker (line 142) | class _PredictWorker(mp.Process):
      method __init__ (line 143) | def __init__(self, cfg, task_queue, result_queue):
      method run (line 149) | def run(self):
    method __init__ (line 160) | def __init__(self, cfg, num_gpus: int = 1):
    method put (line 187) | def put(self, image):
    method get (line 191) | def get(self):
    method __len__ (line 207) | def __len__(self):
    method __call__ (line 210) | def __call__(self, image):
    method shutdown (line 214) | def shutdown(self):
    method default_buffer_size (line 219) | def default_buffer_size(self):

FILE: VPS_Module/detectron2/aot_modules/aot_config.py
  class AOTConfig (line 5) | class AOTConfig():
    method __init__ (line 6) | def __init__(self, exp_name='default', model='AOTT'):

FILE: VPS_Module/detectron2/aot_modules/decoders/__init__.py
  function build_decoder (line 4) | def build_decoder(name, **kwargs):

FILE: VPS_Module/detectron2/aot_modules/decoders/fpn.py
  class FPNSegmentationHead (line 7) | class FPNSegmentationHead(nn.Module):
    method __init__ (line 8) | def __init__(self,
    method forward (line 34) | def forward(self, inputs, shortcuts):
    method _init_weight (line 60) | def _init_weight(self):

FILE: VPS_Module/detectron2/aot_modules/encoders/__init__.py
  function build_encoder (line 10) | def build_encoder(name, frozen_bn=True, freeze_at=-1):

FILE: VPS_Module/detectron2/aot_modules/encoders/mobilenetv2.py
  function _make_divisible (line 9) | def _make_divisible(v: float,
  class ConvBNActivation (line 27) | class ConvBNActivation(nn.Sequential):
    method __init__ (line 28) | def __init__(
  class InvertedResidual (line 63) | class InvertedResidual(nn.Module):
    method __init__ (line 64) | def __init__(
    method forward (line 109) | def forward(self, x: Tensor) -> Tensor:
  class MobileNetV2 (line 116) | class MobileNetV2(nn.Module):
    method __init__ (line 117) | def __init__(self,
    method forward (line 219) | def forward(self, x):
    method _initialize_weights (line 226) | def _initialize_weights(self):
    method freeze (line 240) | def freeze(self, freeze_at):

FILE: VPS_Module/detectron2/aot_modules/encoders/mobilenetv3.py
  function _make_divisible (line 13) | def _make_divisible(v, divisor, min_value=None):
  class h_sigmoid (line 33) | class h_sigmoid(nn.Module):
    method __init__ (line 34) | def __init__(self, inplace=True):
    method forward (line 38) | def forward(self, x):
  class h_swish (line 42) | class h_swish(nn.Module):
    method __init__ (line 43) | def __init__(self, inplace=True):
    method forward (line 47) | def forward(self, x):
  class SELayer (line 51) | class SELayer(nn.Module):
    method __init__ (line 52) | def __init__(self, channel, reduction=4):
    method forward (line 61) | def forward(self, x):
  function conv_3x3_bn (line 68) | def conv_3x3_bn(inp, oup, stride, norm_layer=nn.BatchNorm2d):
  function conv_1x1_bn (line 73) | def conv_1x1_bn(inp, oup, norm_layer=nn.BatchNorm2d):
  class InvertedResidual (line 78) | class InvertedResidual(nn.Module):
    method __init__ (line 79) | def __init__(self,
    method forward (line 135) | def forward(self, x):
  class MobileNetV3Large (line 142) | class MobileNetV3Large(nn.Module):
    method __init__ (line 143) | def __init__(self,
    method forward (line 209) | def forward(self, x):
    method _initialize_weights (line 217) | def _initialize_weights(self):
    method freeze (line 232) | def freeze(self, freeze_at):

FILE: VPS_Module/detectron2/aot_modules/encoders/resnest/resnest.py
  function short_hash (line 19) | def short_hash(name):
  function resnest50 (line 32) | def resnest50(pretrained=False, root='~/.encoding/models', **kwargs):
  function resnest101 (line 51) | def resnest101(pretrained=False, root='~/.encoding/models', **kwargs):
  function resnest200 (line 71) | def resnest200(pretrained=False, root='~/.encoding/models', **kwargs):
  function resnest269 (line 91) | def resnest269(pretrained=False, root='~/.encoding/models', **kwargs):

FILE: VPS_Module/detectron2/aot_modules/encoders/resnest/resnet.py
  function short_hash (line 14) | def short_hash(name):
  class GlobalAvgPool2d (line 27) | class GlobalAvgPool2d(nn.Module):
    method __init__ (line 28) | def __init__(self):
    method forward (line 32) | def forward(self, inputs):
  class Bottleneck (line 37) | class Bottleneck(nn.Module):
    method __init__ (line 43) | def __init__(self,
    method forward (line 133) | def forward(self, x):
  class ResNet (line 169) | class ResNet(nn.Module):
    method __init__ (line 191) | def __init__(self,
    method _make_layer (line 318) | def _make_layer(self,
    method forward (line 418) | def forward(self, x):
    method freeze (line 437) | def freeze(self, freeze_at):

FILE: VPS_Module/detectron2/aot_modules/encoders/resnest/splat.py
  class DropBlock2D (line 10) | class DropBlock2D(object):
    method __init__ (line 11) | def __init__(self, *args, **kwargs):
  class SplAtConv2d (line 15) | class SplAtConv2d(Module):
    method __init__ (line 18) | def __init__(self,
    method forward (line 80) | def forward(self, x):
  class rSoftMax (line 118) | class rSoftMax(nn.Module):
    method __init__ (line 119) | def __init__(self, radix, cardinality):
    method forward (line 124) | def forward(self, x):

FILE: VPS_Module/detectron2/aot_modules/encoders/resnet.py
  class Bottleneck (line 6) | class Bottleneck(nn.Module):
    method __init__ (line 9) | def __init__(self,
    method forward (line 34) | def forward(self, x):
  class ResNet (line 57) | class ResNet(nn.Module):
    method __init__ (line 58) | def __init__(self, block, layers, output_stride, BatchNorm, freeze_at=0):
    method _make_layer (line 108) | def _make_layer(self,
    method forward (line 140) | def forward(self, input):
    method _init_weight (line 159) | def _init_weight(self):
    method freeze (line 168) | def freeze(self, freeze_at):
  function ResNet50 (line 178) | def ResNet50(output_stride, BatchNorm, freeze_at=0):
  function ResNet101 (line 190) | def ResNet101(output_stride, BatchNorm, freeze_at=0):

FILE: VPS_Module/detectron2/aot_modules/encoders/swin/build.py
  function build_swin_model (line 11) | def build_swin_model(model_type, freeze_at=0):

FILE: VPS_Module/detectron2/aot_modules/encoders/swin/swin_transformer.py
  function _ntuple (line 19) | def _ntuple(n):
  function trunc_normal_ (line 31) | def trunc_normal_(tensor, mean=0, std=1):
  class Mlp (line 41) | class Mlp(nn.Module):
    method __init__ (line 43) | def __init__(self,
    method forward (line 57) | def forward(self, x):
  function window_partition (line 66) | def window_partition(x, window_size):
  function window_reverse (line 82) | def window_reverse(windows, window_size, H, W):
  class WindowAttention (line 99) | class WindowAttention(nn.Module):
    method __init__ (line 111) | def __init__(self,
    method forward (line 158) | def forward(self, x, mask=None):
  class SwinTransformerBlock (line 199) | class SwinTransformerBlock(nn.Module):
    method __init__ (line 215) | def __init__(self,
    method forward (line 257) | def forward(self, x, mask_matrix):
  class PatchMerging (line 325) | class PatchMerging(nn.Module):
    method __init__ (line 331) | def __init__(self, dim, norm_layer=nn.LayerNorm):
    method forward (line 337) | def forward(self, x, H, W):
  class BasicLayer (line 366) | class BasicLayer(nn.Module):
    method __init__ (line 383) | def __init__(self,
    method forward (line 426) | def forward(self, x, H, W):
  class PatchEmbed (line 472) | class PatchEmbed(nn.Module):
    method __init__ (line 480) | def __init__(self,
    method forward (line 501) | def forward(self, x):
  class SwinTransformer (line 521) | class SwinTransformer(nn.Module):
    method __init__ (line 548) | def __init__(self,
    method _freeze_stages (line 637) | def _freeze_stages(self):
    method init_weights (line 660) | def init_weights(self, pretrained=None):
    method forward (line 684) | def forward(self, x):

FILE: VPS_Module/detectron2/aot_modules/engines/__init__.py
  function build_engine (line 4) | def build_engine(name, phase='train', **kwargs):

FILE: VPS_Module/detectron2/aot_modules/engines/aot_engine.py
  class AOTEngine (line 14) | class AOTEngine(nn.Module):
    method __init__ (line 15) | def __init__(self,
    method forward (line 34) | def forward(self,
    method _init_losses (line 111) | def _init_losses(self):
    method encode_one_img_mask (line 128) | def encode_one_img_mask(self, img=None, mask=None, frame_step=-1):
    method offline_encoder (line 148) | def offline_encoder(self, all_frames, all_masks=None):
    method assign_identity (line 169) | def assign_identity(self, one_hot_mask):
    method split_frames (line 182) | def split_frames(self, xs, chunk_size):
    method add_reference_frame (line 189) | def add_reference_frame(self,
    method set_prev_frame (line 259) | def set_prev_frame(self, img=None, mask=None, frame_step=1):
    method update_long_term_memory (line 297) | def update_long_term_memory(self, new_long_term_memories):
    method update_short_term_memory (line 308) | def update_short_term_memory(self, curr_mask, curr_id_emb=None):
    method match_propogate_one_frame (line 339) | def match_propogate_one_frame(self, img=None, img_embs=None):
    method decode_current_logits (line 355) | def decode_current_logits(self, output_size=None):
    method predict_current_mask (line 384) | def predict_current_mask(self, output_size=None, return_prob=False):
    method calculate_current_loss (line 400) | def calculate_current_loss(self, gt_mask, step):
    method generate_loss_mask (line 423) | def generate_loss_mask(self, gt_mask, step, return_prob=False):
    method keep_gt_mask (line 433) | def keep_gt_mask(self, pred_mask, keep_prob=0.2):
    method restart_engine (line 447) | def restart_engine(self, batch_size=1, enable_id_shuffle=False):
    method update_size (line 481) | def update_size(self, input_size, enc_size):
  class AOTInferEngine (line 487) | class AOTInferEngine(nn.Module):
    method __init__ (line 488) | def __init__(self,
    method restart_engine (line 512) | def restart_engine(self):
    method separate_mask (line 516) | def separate_mask(self, mask):
    method min_logit_aggregation (line 542) | def min_logit_aggregation(self, all_logits):
    method soft_logit_aggregation (line 560) | def soft_logit_aggregation(self, all_logits):
    method add_reference_frame (line 579) | def add_reference_frame(self, img, mask, obj_nums, frame_step=-1):
    method match_propogate_one_frame (line 605) | def match_propogate_one_frame(self, img=None):
    method decode_current_logits (line 612) | def decode_current_logits(self, output_size=None):
    method update_memory (line 619) | def update_memory(self, curr_mask):
    method update_size (line 625) | def update_size(self):

FILE: VPS_Module/detectron2/aot_modules/layers/attention.py
  class MultiheadAttention (line 8) | class MultiheadAttention(nn.Module):
    method __init__ (line 9) | def __init__(self, d_model, num_head=8, dropout=0., use_linear=True):
    method forward (line 28) | def forward(self, Q, K, V):
    method _init_weight (line 72) | def _init_weight(self):
  class MultiheadLocalAttentionV1 (line 79) | class MultiheadLocalAttentionV1(nn.Module):
    method __init__ (line 80) | def __init__(self,
    method forward (line 129) | def forward(self, q, k, v):
    method pad_and_unfold (line 185) | def pad_and_unfold(self, x):
  class MultiheadLocalAttentionV2 (line 197) | class MultiheadLocalAttentionV2(nn.Module):
    method __init__ (line 198) | def __init__(self,
    method forward (line 252) | def forward(self, q, k, v):
    method local2global (line 317) | def local2global(self, local_attn, height, width):
    method pad_and_unfold (line 358) | def pad_and_unfold(self, x):
  class MultiheadLocalAttentionV3 (line 370) | class MultiheadLocalAttentionV3(nn.Module):
    method __init__ (line 371) | def __init__(self,
    method forward (line 410) | def forward(self, q, k, v):
    method compute_mask (line 479) | def compute_mask(self, height, width, device=None):

FILE: VPS_Module/detectron2/aot_modules/layers/basic.py
  class GroupNorm1D (line 6) | class GroupNorm1D(nn.Module):
    method __init__ (line 7) | def __init__(self, indim, groups=8):
    method forward (line 11) | def forward(self, x):
  class GNActDWConv2d (line 15) | class GNActDWConv2d(nn.Module):
    method __init__ (line 16) | def __init__(self, indim, gn_groups=32):
    method forward (line 27) | def forward(self, x, size_2d):
  class ConvGN (line 38) | class ConvGN(nn.Module):
    method __init__ (line 39) | def __init__(self, indim, outdim, kernel_size, gn_groups=8):
    method forward (line 47) | def forward(self, x):
  function seq_to_2d (line 51) | def seq_to_2d(tensor, size_2d):
  function drop_path (line 58) | def drop_path(x, drop_prob: float = 0., training: bool = False):
  class DropPath (line 71) | class DropPath(nn.Module):
    method __init__ (line 72) | def __init__(self, drop_prob=None, batch_dim=0):
    method forward (line 77) | def forward(self, x):
    method drop_path (line 80) | def drop_path(self, x, drop_prob):
  class DropOutLogit (line 93) | class DropOutLogit(nn.Module):
    method __init__ (line 94) | def __init__(self, drop_prob=None):
    method forward (line 98) | def forward(self, x):
    method drop_logit (line 101) | def drop_logit(self, x, drop_prob):

FILE: VPS_Module/detectron2/aot_modules/layers/loss.py
  function dice_loss (line 11) | def dice_loss(probas, labels, smooth=1):
  function tversky_loss (line 28) | def tversky_loss(probas, labels, alpha=0.5, beta=0.5, epsilon=1e-6):
  function flatten_probas (line 57) | def flatten_probas(probas, labels, ignore=255):
  function isnan (line 74) | def isnan(x):
  function mean (line 78) | def mean(l, ignore_nan=False, empty=0):
  class DiceLoss (line 99) | class DiceLoss(nn.Module):
    method __init__ (line 100) | def __init__(self, ignore_index=255):
    method forward (line 104) | def forward(self, tmp_dic, label_dic, step=None):
  class SoftJaccordLoss (line 118) | class SoftJaccordLoss(nn.Module):
    method __init__ (line 119) | def __init__(self, ignore_index=255):
    method forward (line 123) | def forward(self, tmp_dic, label_dic, step=None):
  class CrossEntropyLoss (line 140) | class CrossEntropyLoss(nn.Module):
    method __init__ (line 141) | def __init__(self,
    method forward (line 156) | def forward(self, dic_tmp, y, step):

FILE: VPS_Module/detectron2/aot_modules/layers/normalization.py
  class FrozenBatchNorm2d (line 6) | class FrozenBatchNorm2d(nn.Module):
    method __init__ (line 11) | def __init__(self, n, epsilon=1e-5):
    method forward (line 19) | def forward(self, x):

FILE: VPS_Module/detectron2/aot_modules/layers/position.py
  class Downsample2D (line 10) | class Downsample2D(nn.Module):
    method __init__ (line 11) | def __init__(self, mode='nearest', scale=4):
    method forward (line 16) | def forward(self, x):
  function generate_coord (line 24) | def generate_coord(x):
  class PositionEmbeddingSine (line 33) | class PositionEmbeddingSine(nn.Module):
    method __init__ (line 34) | def __init__(self,
    method forward (line 49) | def forward(self, x):
  class PositionEmbeddingLearned (line 77) | class PositionEmbeddingLearned(nn.Module):
    method __init__ (line 78) | def __init__(self, num_pos_feats=64, H=30, W=30):
    method forward (line 85) | def forward(self, x):

FILE: VPS_Module/detectron2/aot_modules/layers/transformer.py
  function _get_norm (line 8) | def _get_norm(indim, type='ln', groups=8):
  function _get_activation_fn (line 15) | def _get_activation_fn(activation):
  class LongShortTermTransformer (line 27) | class LongShortTermTransformer(nn.Module):
    method __init__ (line 28) | def __init__(self,
    method forward (line 79) | def forward(self,
  class LongShortTermTransformerBlock (line 126) | class LongShortTermTransformerBlock(nn.Module):
    method __init__ (line 127) | def __init__(self,
    method with_pos_embed (line 183) | def with_pos_embed(self, tensor, pos=None):
    method forward (line 190) | def forward(self,
    method _init_weight (line 242) | def _init_weight(self):

FILE: VPS_Module/detectron2/aot_modules/models/__init__.py
  function build_vos_model (line 5) | def build_vos_model(name, cfg, **kwargs):

FILE: VPS_Module/detectron2/aot_modules/models/aot.py
  class AOT (line 9) | class AOT(nn.Module):
    method __init__ (line 10) | def __init__(self, cfg, encoder='mobilenetv2', decoder='fpn'):
    method get_pos_emb (line 72) | def get_pos_emb(self, x):
    method get_id_emb (line 76) | def get_id_emb(self, x):
    method encode_image (line 84) | def encode_image(self, img):
    method decode_id_logits (line 90) | def decode_id_logits(self, lstt_emb, shortcuts):
    method LSTT_forward (line 98) | def LSTT_forward(self,
    method _init_weight (line 116) | def _init_weight(self):

FILE: VPS_Module/detectron2/aot_modules/utils/checkpoint.py
  function load_network_and_optimizer (line 6) | def load_network_and_optimizer(net, opt, pretrained_dir, gpu, scaler=None):
  function load_network_and_optimizer_v2 (line 30) | def load_network_and_optimizer_v2(net, opt, pretrained_dir, gpu, scaler=...
  function load_network (line 75) | def load_network(net, pretrained_dir, gpu):
  function save_network (line 101) | def save_network(net,

FILE: VPS_Module/detectron2/aot_modules/utils/ema.py
  function get_param_buffer_for_ema (line 7) | def get_param_buffer_for_ema(model,
  class ExponentialMovingAverage (line 22) | class ExponentialMovingAverage:
    method __init__ (line 26) | def __init__(self, parameters, decay, use_num_updates=True):
    method update (line 42) | def update(self, parameters):
    method copy_to (line 61) | def copy_to(self, parameters):
    method store (line 71) | def store(self, parameters):
    method restore (line 80) | def restore(self, parameters):

FILE: VPS_Module/detectron2/aot_modules/utils/eval.py
  function zip_folder (line 5) | def zip_folder(source_folder, zip_dir):

FILE: VPS_Module/detectron2/aot_modules/utils/image.py
  function label2colormap (line 58) | def label2colormap(label):
  function one_hot_mask (line 69) | def one_hot_mask(mask, cls_num):
  function masked_image (line 77) | def masked_image(image, colored_mask, mask, alpha=0.7):
  function save_image (line 85) | def save_image(image, path):
  function _save_mask (line 90) | def _save_mask(mask, path, squeeze_idx=None):
  function save_mask (line 103) | def save_mask(mask_tensor, path, squeeze_idx=None):
  function flip_tensor (line 108) | def flip_tensor(tensor, dim=0):
  function shuffle_obj_mask (line 115) | def shuffle_obj_mask(mask):

FILE: VPS_Module/detectron2/aot_modules/utils/learning.py
  function adjust_learning_rate (line 4) | def adjust_learning_rate(optimizer,
  function get_trainable_params (line 49) | def get_trainable_params(model,
  function freeze_params (line 93) | def freeze_params(module):

FILE: VPS_Module/detectron2/aot_modules/utils/math.py
  function generate_permute_matrix (line 4) | def generate_permute_matrix(dim, num, keep_first=True, gpu_id=0):
  function truncated_normal_ (line 17) | def truncated_normal_(tensor, mean=0, std=.02):

FILE: VPS_Module/detectron2/aot_modules/utils/meters.py
  class AverageMeter (line 4) | class AverageMeter(object):
    method __init__ (line 6) | def __init__(self, momentum=0.999):
    method reset (line 15) | def reset(self):
    method update (line 21) | def update(self, val, n=1):

FILE: VPS_Module/detectron2/aot_modules/utils/metric.py
  function pytorch_iou (line 4) | def pytorch_iou(pred, target, obj_num, epsilon=1e-6):

FILE: VPS_Module/detectron2/checkpoint/c2_model_loading.py
  function convert_basic_c2_names (line 10) | def convert_basic_c2_names(original_keys):
  function convert_c2_detectron_names (line 66) | def convert_c2_detectron_names(weights):
  function align_and_update_state_dicts (line 209) | def align_and_update_state_dicts(model_state_dict, ckpt_state_dict, c2_c...
  function _group_keys_by_module (line 337) | def _group_keys_by_module(keys: List[str], original_names: Dict[str, str]):
  function _longest_common_prefix (line 377) | def _longest_common_prefix(names: List[str]) -> str:
  function _longest_common_prefix_str (line 388) | def _longest_common_prefix_str(names: List[str]) -> str:
  function _group_str (line 395) | def _group_str(names: List[str]) -> str:

FILE: VPS_Module/detectron2/checkpoint/catalog.py
  class ModelCatalog (line 7) | class ModelCatalog(object):
    method get (line 58) | def get(name):
    method _get_c2_imagenet_pretrained (line 66) | def _get_c2_imagenet_pretrained(name):
    method _get_c2_detectron_baseline (line 74) | def _get_c2_detectron_baseline(name):
  class ModelCatalogHandler (line 95) | class ModelCatalogHandler(PathHandler):
    method _get_supported_prefixes (line 102) | def _get_supported_prefixes(self):
    method _get_local_path (line 105) | def _get_local_path(self, path, **kwargs):
    method _open (line 111) | def _open(self, path, mode="r", **kwargs):

FILE: VPS_Module/detectron2/checkpoint/detection_checkpoint.py
  class DetectionCheckpointer (line 15) | class DetectionCheckpointer(Checkpointer):
    method __init__ (line 22) | def __init__(self, model, save_dir="", *, save_to_disk=None, **checkpo...
    method load (line 32) | def load(self, path, *args, **kwargs):
    method _load_file (line 59) | def _load_file(self, filename):
    method _load_model (line 93) | def _load_model(self, checkpoint):

FILE: VPS_Module/detectron2/config/compat.py
  function upgrade_config (line 33) | def upgrade_config(cfg: CN, to_version: Optional[int] = None) -> CN:
  function downgrade_config (line 55) | def downgrade_config(cfg: CN, to_version: int) -> CN:
  function guess_version (line 82) | def guess_version(cfg: CN, filename: str) -> int:
  function _rename (line 116) | def _rename(cfg: CN, old: str, new: str) -> None:
  class _RenameConverter (line 146) | class _RenameConverter:
    method upgrade (line 154) | def upgrade(cls, cfg: CN) -> None:
    method downgrade (line 159) | def downgrade(cls, cfg: CN) -> None:
  class ConverterV1 (line 164) | class ConverterV1(_RenameConverter):
  class ConverterV2 (line 168) | class ConverterV2(_RenameConverter):
    method upgrade (line 204) | def upgrade(cls, cfg: CN) -> None:
    method downgrade (line 222) | def downgrade(cls, cfg: CN) -> None:

FILE: VPS_Module/detectron2/config/config.py
  class CfgNode (line 12) | class CfgNode(_CfgNode):
    method _open_cfg (line 33) | def _open_cfg(cls, filename):
    method merge_from_file (line 37) | def merge_from_file(self, cfg_filename: str, allow_unsafe: bool = True...
    method dump (line 87) | def dump(self, *args, **kwargs):
  function get_cfg (line 99) | def get_cfg() -> CfgNode:
  function set_global_cfg (line 111) | def set_global_cfg(cfg: CfgNode) -> None:
  function configurable (line 130) | def configurable(init_func=None, *, from_config=None):
  function _get_args_from_config (line 218) | def _get_args_from_config(from_config_func, *args, **kwargs):
  function _called_with_cfg (line 251) | def _called_with_cfg(*args, **kwargs):

FILE: VPS_Module/detectron2/config/instantiate.py
  function dump_dataclass (line 12) | def dump_dataclass(obj: Any):
  function instantiate (line 36) | def instantiate(cfg):

FILE: VPS_Module/detectron2/config/lazy.py
  class LazyCall (line 24) | class LazyCall:
    method __init__ (line 41) | def __init__(self, target):
    method __call__ (line 48) | def __call__(self, **kwargs):
  function _visit_dict_config (line 60) | def _visit_dict_config(cfg, func):
  function _validate_py_syntax (line 73) | def _validate_py_syntax(filename):
  function _cast_to_config (line 83) | def _cast_to_config(obj):
  function _random_package_name (line 96) | def _random_package_name(filename):
  function _patch_import (line 102) | def _patch_import():
  class LazyConfig (line 160) | class LazyConfig:
    method load_rel (line 167) | def load_rel(filename: str, keys: Union[None, str, Tuple[str, ...]] = ...
    method load (line 183) | def load(filename: str, keys: Union[None, str, Tuple[str, ...]] = None):
    method save (line 238) | def save(cfg, filename: str):
    method apply_overrides (line 296) | def apply_overrides(cfg, overrides: List[str]):
    method to_py (line 338) | def to_py(cfg, prefix: str = "cfg."):

FILE: VPS_Module/detectron2/engine/defaults.py
  function create_ddp_model (line 60) | def create_ddp_model(model, *, fp16_compression=False, **kwargs):
  function default_argument_parser (line 82) | def default_argument_parser(epilog=None):
  function _try_get_key (line 147) | def _try_get_key(cfg, *keys, default=None):
  function _highlight (line 161) | def _highlight(code, filename):
  function default_setup (line 175) | def default_setup(cfg, args):
  function default_writers (line 231) | def default_writers(output_dir: str, max_iter: Optional[int] = None):
  class DefaultPredictor (line 253) | class DefaultPredictor:
    method __init__ (line 281) | def __init__(self, cfg):
    method __call__ (line 298) | def __call__(self, original_image):
  class DefaultTrainer (line 322) | class DefaultTrainer(TrainerBase):
    method __init__ (line 365) | def __init__(self, cfg):
    method resume_or_load (line 399) | def resume_or_load(self, resume=True):
    method build_hooks (line 419) | def build_hooks(self):
    method build_writers (line 467) | def build_writers(self):
    method train (line 478) | def train(self):
    method run_step (line 493) | def run_step(self):
    method state_dict (line 497) | def state_dict(self):
    method load_state_dict (line 502) | def load_state_dict(self, state_dict):
    method build_model (line 507) | def build_model(cls, cfg):
    method build_optimizer (line 521) | def build_optimizer(cls, cfg, model):
    method build_lr_scheduler (line 532) | def build_lr_scheduler(cls, cfg, optimizer):
    method build_train_loader (line 540) | def build_train_loader(cls, cfg):
    method build_test_loader (line 551) | def build_test_loader(cls, cfg, dataset_name):
    method build_evaluator (line 562) | def build_evaluator(cls, cfg, dataset_name):
    method test (line 578) | def test(cls, cfg, model, evaluators=None):
    method auto_scale_workers (line 634) | def auto_scale_workers(cfg, num_workers: int):

FILE: VPS_Module/detectron2/engine/hooks.py
  class CallbackHook (line 49) | class CallbackHook(HookBase):
    method __init__ (line 54) | def __init__(self, *, before_train=None, after_train=None, before_step...
    method before_train (line 63) | def before_train(self):
    method after_train (line 67) | def after_train(self):
    method before_step (line 75) | def before_step(self):
    method after_step (line 79) | def after_step(self):
  class IterationTimer (line 84) | class IterationTimer(HookBase):
    method __init__ (line 96) | def __init__(self, warmup_iter=3):
    method before_train (line 107) | def before_train(self):
    method after_train (line 112) | def after_train(self):
    method before_step (line 138) | def before_step(self):
    method after_step (line 142) | def after_step(self):
  class PeriodicWriter (line 156) | class PeriodicWriter(HookBase):
    method __init__ (line 164) | def __init__(self, writers, period=20):
    method after_step (line 175) | def after_step(self):
    method after_train (line 182) | def after_train(self):
  class PeriodicCheckpointer (line 190) | class PeriodicCheckpointer(_PeriodicCheckpointer, HookBase):
    method before_train (line 201) | def before_train(self):
    method after_step (line 204) | def after_step(self):
  class BestCheckpointer (line 209) | class BestCheckpointer(HookBase):
    method __init__ (line 217) | def __init__(
    method _update_best (line 250) | def _update_best(self, val, iteration):
    method _best_checking (line 257) | def _best_checking(self):
    method after_step (line 290) | def after_step(self):
    method after_train (line 300) | def after_train(self):
  class LRScheduler (line 306) | class LRScheduler(HookBase):
    method __init__ (line 312) | def __init__(self, optimizer=None, scheduler=None):
    method before_train (line 325) | def before_train(self):
    method get_best_param_group_id (line 337) | def get_best_param_group_id(optimizer):
    method after_step (line 355) | def after_step(self):
    method scheduler (line 361) | def scheduler(self):
    method state_dict (line 364) | def state_dict(self):
    method load_state_dict (line 369) | def load_state_dict(self, state_dict):
  class TorchProfiler (line 376) | class TorchProfiler(HookBase):
    method __init__ (line 394) | def __init__(self, enable_predicate, output_dir, *, activities=None, s...
    method before_step (line 409) | def before_step(self):
    method after_step (line 434) | def after_step(self):
  class AutogradProfiler (line 456) | class AutogradProfiler(TorchProfiler):
    method __init__ (line 479) | def __init__(self, enable_predicate, output_dir, *, use_cuda=True):
    method before_step (line 493) | def before_step(self):
  class EvalHook (line 501) | class EvalHook(HookBase):
    method __init__ (line 508) | def __init__(self, eval_period, eval_function):
    method _do_eval (line 524) | def _do_eval(self):
    method after_step (line 547) | def after_step(self):
    method after_train (line 554) | def after_train(self):
  class PreciseBN (line 563) | class PreciseBN(HookBase):
    method __init__ (line 573) | def __init__(self, period, model, data_loader, num_iter):
    method after_step (line 602) | def after_step(self):
    method update_stats (line 608) | def update_stats(self):
  class TorchMemoryStats (line 635) | class TorchMemoryStats(HookBase):
    method __init__ (line 640) | def __init__(self, period=20, max_runs=10):
    method after_step (line 652) | def after_step(self):

FILE: VPS_Module/detectron2/engine/launch.py
  function _find_free_port (line 15) | def _find_free_port():
  function launch (line 27) | def launch(
  function _distributed_worker (line 85) | def _distributed_worker(

FILE: VPS_Module/detectron2/engine/train_loop.py
  class HookBase (line 19) | class HookBase:
    method before_train (line 56) | def before_train(self):
    method after_train (line 62) | def after_train(self):
    method before_step (line 68) | def before_step(self):
    method after_step (line 74) | def after_step(self):
    method state_dict (line 80) | def state_dict(self):
  class TrainerBase (line 88) | class TrainerBase:
    method __init__ (line 107) | def __init__(self) -> None:
    method register_hooks (line 115) | def register_hooks(self, hooks: List[Optional[HookBase]]) -> None:
    method train (line 133) | def train(self, start_iter: int, max_iter: int):
    method before_train (line 161) | def before_train(self):
    method after_train (line 165) | def after_train(self):
    method before_step (line 170) | def before_step(self):
    method after_step (line 178) | def after_step(self):
    method run_step (line 182) | def run_step(self):
    method state_dict (line 185) | def state_dict(self):
    method load_state_dict (line 200) | def load_state_dict(self, state_dict):
  class SimpleTrainer (line 216) | class SimpleTrainer(TrainerBase):
    method __init__ (line 235) | def __init__(self, model, data_loader, optimizer):
    method run_step (line 258) | def run_step(self):
    method _write_metrics (line 296) | def _write_metrics(
    method write_metrics (line 305) | def write_metrics(
    method state_dict (line 347) | def state_dict(self):
    method load_state_dict (line 352) | def load_state_dict(self, state_dict):
  class AMPTrainer (line 357) | class AMPTrainer(SimpleTrainer):
    method __init__ (line 363) | def __init__(self, model, data_loader, optimizer, grad_scaler=None):
    method run_step (line 382) | def run_step(self):
    method state_dict (line 410) | def state_dict(self):
    method load_state_dict (line 415) | def load_state_dict(self, state_dict):

FILE: VPS_Module/detectron2/evaluation/cityscapes_evaluation.py
  class CityscapesEvaluator (line 18) | class CityscapesEvaluator(DatasetEvaluator):
    method __init__ (line 23) | def __init__(self, dataset_name):
    method reset (line 34) | def reset(self):
  class CityscapesInstanceEvaluator (line 47) | class CityscapesInstanceEvaluator(CityscapesEvaluator):
    method process (line 57) | def process(self, inputs, outputs):
    method evaluate (line 88) | def evaluate(self):
  class CityscapesSemSegEvaluator (line 129) | class CityscapesSemSegEvaluator(CityscapesEvaluator):
    method process (line 139) | def process(self, inputs, outputs):
    method evaluate (line 155) | def evaluate(self):

FILE: VPS_Module/detectron2/evaluation/coco_evaluation.py
  class COCOEvaluator (line 30) | class COCOEvaluator(DatasetEvaluator):
    method __init__ (line 43) | def __init__(
    method reset (line 142) | def reset(self):
    method process (line 145) | def process(self, inputs, outputs):
    method evaluate (line 165) | def evaluate(self, img_ids=None):
    method _tasks_from_predictions (line 198) | def _tasks_from_predictions(self, predictions):
    method _eval_predictions (line 210) | def _eval_predictions(self, predictions, img_ids=None):
    method _eval_box_proposals (line 272) | def _eval_box_proposals(self, predictions):
    method _derive_coco_results (line 311) | def _derive_coco_results(self, coco_eval, iou_type, class_names=None):
  function instances_to_coco_json (line 380) | def instances_to_coco_json(instances, img_id):
  function _evaluate_box_proposals (line 444) | def _evaluate_box_proposals(dataset_predictions, coco_api, thresholds=No...
  function _evaluate_predictions_on_coco (line 555) | def _evaluate_predictions_on_coco(
  class COCOevalMaxDets (line 622) | class COCOevalMaxDets(COCOeval):
    method summarize (line 628) | def summarize(self):
    method __str__ (line 709) | def __str__(self):

FILE: VPS_Module/detectron2/evaluation/evaluator.py
  class DatasetEvaluator (line 15) | class DatasetEvaluator:
    method reset (line 26) | def reset(self):
    method process (line 33) | def process(self, inputs, outputs):
    method evaluate (line 50) | def evaluate(self):
  class DatasetEvaluators (line 66) | class DatasetEvaluators(DatasetEvaluator):
    method __init__ (line 74) | def __init__(self, evaluators):
    method reset (line 82) | def reset(self):
    method process (line 86) | def process(self, inputs, outputs):
    method evaluate (line 90) | def evaluate(self):
  function inference_on_dataset (line 103) | def inference_on_dataset(
  function inference_context (line 213) | def inference_context(model):

FILE: VPS_Module/detectron2/evaluation/fast_eval_api.py
  class COCOeval_opt (line 13) | class COCOeval_opt(COCOeval):
    method evaluate (line 19) | def evaluate(self):
    method accumulate (line 98) | def accumulate(self):

FILE: VPS_Module/detectron2/evaluation/lvis_evaluation.py
  class LVISEvaluator (line 22) | class LVISEvaluator(DatasetEvaluator):
    method __init__ (line 28) | def __init__(
    method reset (line 77) | def reset(self):
    method process (line 80) | def process(self, inputs, outputs):
    method evaluate (line 99) | def evaluate(self):
    method _tasks_from_predictions (line 128) | def _tasks_from_predictions(self, predictions):
    method _eval_predictions (line 134) | def _eval_predictions(self, predictions):
    method _eval_box_proposals (line 180) | def _eval_box_proposals(self, predictions):
  function _evaluate_box_proposals (line 222) | def _evaluate_box_proposals(dataset_predictions, lvis_api, thresholds=No...
  function _evaluate_predictions_on_lvis (line 331) | def _evaluate_predictions_on_lvis(

FILE: VPS_Module/detectron2/evaluation/panoptic_evaluation.py
  class COCOPanopticEvaluator (line 25) | class COCOPanopticEvaluator(DatasetEvaluator):
    method __init__ (line 33) | def __init__(self, dataset_name: str, output_dir: Optional[str] = None):
    method reset (line 52) | def reset(self):
    method _convert_category_id (line 55) | def _convert_category_id(self, segment_info):
    method process (line 70) | def process(self, inputs, outputs):
    method evaluate (line 117) | def evaluate(self):
  function _print_panoptic_results (line 172) | def _print_panoptic_results(pq_res):

FILE: VPS_Module/detectron2/evaluation/pascal_voc_evaluation.py
  class PascalVOCDetectionEvaluator (line 20) | class PascalVOCDetectionEvaluator(DatasetEvaluator):
    method __init__ (line 31) | def __init__(self, dataset_name):
    method reset (line 51) | def reset(self):
    method process (line 54) | def process(self, inputs, outputs):
    method evaluate (line 70) | def evaluate(self):
  function parse_rec (line 132) | def parse_rec(filename):
  function voc_ap (line 155) | def voc_ap(rec, prec, use_07_metric=False):
  function voc_eval (line 187) | def voc_eval(detpath, annopath, imagesetfile, classname, ovthresh=0.5, u...

FILE: VPS_Module/detectron2/evaluation/pq_compute.py
  class PQStatCat (line 17) | class PQStatCat():
    method __init__ (line 18) | def __init__(self):
    method __iadd__ (line 24) | def __iadd__(self, pq_stat_cat):
  class PQStat (line 32) | class PQStat():
    method __init__ (line 33) | def __init__(self):
    method __getitem__ (line 36) | def __getitem__(self, i):
    method __iadd__ (line 39) | def __iadd__(self, pq_stat):
    method pq_average (line 44) | def pq_average(self, categories, isthing):
  function pq_compute_single_core (line 74) | def pq_compute_single_core(proc_id, annotation_set, gt_folder, pred_fold...
  function pq_compute_multi_core (line 167) | def pq_compute_multi_core(matched_annotations_list, gt_folder, pred_fold...
  function pq_compute (line 185) | def pq_compute(gt_json_file, pred_json_file, gt_folder=None, pred_folder...
  function vpq_compute_single_core (line 254) | def vpq_compute_single_core(gt_pred_set, categories, nframes=2):
  function vpq_compute (line 392) | def vpq_compute(gt_pred_split, categories, nframes, output_dir):

FILE: VPS_Module/detectron2/evaluation/rotated_coco_evaluation.py
  class RotatedCOCOeval (line 15) | class RotatedCOCOeval(COCOeval):
    method is_rotated (line 17) | def is_rotated(box_list):
    method boxlist_to_tensor (line 34) | def boxlist_to_tensor(boxlist, output_box_dim):
    method compute_iou_dt_gt (line 57) | def compute_iou_dt_gt(self, dt, gt, is_crowd):
    method computeIoU (line 68) | def computeIoU(self, imgId, catId):
  class RotatedCOCOEvaluator (line 97) | class RotatedCOCOEvaluator(COCOEvaluator):
    method process (line 104) | def process(self, inputs, outputs):
    method instances_to_json (line 124) | def instances_to_json(self, instances, img_id):
    method _eval_predictions (line 148) | def _eval_predictions(self, predictions, img_ids=None):  # img_ids: un...
    method _evaluate_predictions_on_coco (line 192) | def _evaluate_predictions_on_coco(self, coco_gt, coco_results):

FILE: VPS_Module/detectron2/evaluation/sem_seg_evaluation.py
  class SemSegEvaluator (line 19) | class SemSegEvaluator(DatasetEvaluator):
    method __init__ (line 24) | def __init__(
    method reset (line 74) | def reset(self):
    method process (line 78) | def process(self, inputs, outputs):
    method evaluate (line 103) | def evaluate(self):
    method encode_json_sem_seg (line 164) | def encode_json_sem_seg(self, sem_seg, input_file_name):

FILE: VPS_Module/detectron2/evaluation/testing.py
  function print_csv_format (line 9) | def print_csv_format(results):
  function verify_results (line 31) | def verify_results(cfg, results):
  function flatten_results_dict (line 68) | def flatten_results_dict(results):

FILE: VPS_Module/detectron2/export/api.py
  function add_export_config (line 23) | def add_export_config(cfg):
  class Caffe2Tracer (line 27) | class Caffe2Tracer:
    method __init__ (line 50) | def __init__(self, cfg: CfgNode, model: nn.Module, inputs):
    method export_caffe2 (line 70) | def export_caffe2(self):
    method export_onnx (line 86) | def export_onnx(self):
    method export_torchscript (line 101) | def export_torchscript(self):
  class Caffe2Model (line 115) | class Caffe2Model(nn.Module):
    method __init__ (line 131) | def __init__(self, predict_net, init_net):
    method predict_net (line 141) | def predict_net(self):
    method init_net (line 148) | def init_net(self):
    method save_protobuf (line 154) | def save_protobuf(self, output_dir):
    method save_graph (line 180) | def save_graph(self, output_file, inputs=None):
    method load_protobuf (line 203) | def load_protobuf(dir):
    method __call__ (line 223) | def __call__(self, inputs):

FILE: VPS_Module/detectron2/export/c10.py
  class Caffe2Boxes (line 22) | class Caffe2Boxes(Boxes):
    method __init__ (line 29) | def __init__(self, tensor):
  class InstancesList (line 38) | class InstancesList(object):
    method __init__ (line 48) | def __init__(self, im_info, indices, extra_fields=None):
    method get_fields (line 58) | def get_fields(self):
    method has (line 72) | def has(self, name):
    method set (line 75) | def set(self, name, value):
    method __setattr__ (line 83) | def __setattr__(self, name, val):
    method __getattr__ (line 89) | def __getattr__(self, name):
    method __len__ (line 94) | def __len__(self):
    method flatten (line 97) | def flatten(self):
    method to_d2_instances_list (line 107) | def to_d2_instances_list(instances_list):
  class Caffe2Compatible (line 147) | class Caffe2Compatible(object):
    method _get_tensor_mode (line 152) | def _get_tensor_mode(self):
    method _set_tensor_mode (line 155) | def _set_tensor_mode(self, v):
  class Caffe2RPN (line 164) | class Caffe2RPN(Caffe2Compatible, rpn.RPN):
    method _generate_proposals (line 165) | def _generate_proposals(
    method forward (line 248) | def forward(self, images, features, gt_instances=None):
    method c2_postprocess (line 260) | def c2_postprocess(im_info, rpn_rois, rpn_roi_probs, tensor_mode):
  class Caffe2ROIPooler (line 276) | class Caffe2ROIPooler(Caffe2Compatible, poolers.ROIPooler):
    method c2_preprocess (line 278) | def c2_preprocess(box_lists):
    method forward (line 288) | def forward(self, x, box_lists):
  class Caffe2FastRCNNOutputsInference (line 368) | class Caffe2FastRCNNOutputsInference:
    method __init__ (line 369) | def __init__(self, tensor_mode):
    method __call__ (line 372) | def __call__(self, box_predictor, predictions, proposals):
  class Caffe2MaskRCNNInference (line 502) | class Caffe2MaskRCNNInference:
    method __call__ (line 503) | def __call__(self, pred_mask_logits, pred_instances):
  class Caffe2KeypointRCNNInference (line 514) | class Caffe2KeypointRCNNInference:
    method __init__ (line 515) | def __init__(self, use_heatmap_max_keypoint):
    method __call__ (line 518) | def __call__(self, pred_keypoint_logits, pred_instances):

FILE: VPS_Module/detectron2/export/caffe2_export.py
  function export_onnx_model (line 33) | def export_onnx_model(model, inputs):
  function _op_stats (line 74) | def _op_stats(net_def):
  function _assign_device_option (line 83) | def _assign_device_option(
  function export_caffe2_detection_model (line 129) | def export_caffe2_detection_model(model: torch.nn.Module, tensor_inputs:...
  function run_and_save_graph (line 175) | def run_and_save_graph(predict_net, init_net, tensor_inputs, graph_save_...

FILE: VPS_Module/detectron2/export/caffe2_inference.py
  class ProtobufModel (line 17) | class ProtobufModel(torch.nn.Module):
    method __init__ (line 26) | def __init__(self, predict_net, init_net):
    method _infer_output_devices (line 48) | def _infer_output_devices(self, inputs):
    method forward (line 71) | def forward(self, inputs):
  class ProtobufDetectionModel (line 125) | class ProtobufDetectionModel(torch.nn.Module):
    method __init__ (line 131) | def __init__(self, predict_net, init_net, *, convert_outputs=None):
    method _convert_inputs (line 151) | def _convert_inputs(self, batched_inputs):
    method forward (line 157) | def forward(self, batched_inputs):

FILE: VPS_Module/detectron2/export/caffe2_modeling.py
  function assemble_rcnn_outputs_by_name (line 27) | def assemble_rcnn_outputs_by_name(image_sizes, tensor_outputs, force_mas...
  function _cast_to_f32 (line 95) | def _cast_to_f32(f64):
  function set_caffe2_compatible_tensor_mode (line 99) | def set_caffe2_compatible_tensor_mode(model, enable=True):
  function convert_batched_inputs_to_c2_format (line 107) | def convert_batched_inputs_to_c2_format(batched_inputs, size_divisibilit...
  class Caffe2MetaArch (line 135) | class Caffe2MetaArch(Caffe2Compatible, torch.nn.Module):
    method __init__ (line 142) | def __init__(self, cfg, torch_model):
    method get_caffe2_inputs (line 154) | def get_caffe2_inputs(self, batched_inputs):
    method encode_additional_info (line 178) | def encode_additional_info(self, predict_net, init_net):
    method forward (line 184) | def forward(self, inputs):
    method _caffe2_preprocess_image (line 199) | def _caffe2_preprocess_image(self, inputs):
    method get_outputs_converter (line 217) | def get_outputs_converter(predict_net, init_net):
  class Caffe2GeneralizedRCNN (line 245) | class Caffe2GeneralizedRCNN(Caffe2MetaArch):
    method __init__ (line 246) | def __init__(self, cfg, torch_model):
    method encode_additional_info (line 259) | def encode_additional_info(self, predict_net, init_net):
    method forward (line 268) | def forward(self, inputs):
    method get_outputs_converter (line 279) | def get_outputs_converter(predict_net, init_net):
  class Caffe2RetinaNet (line 289) | class Caffe2RetinaNet(Caffe2MetaArch):
    method __init__ (line 290) | def __init__(self, cfg, torch_model):
    method forward (line 295) | def forward(self, inputs):
    method encode_additional_info (line 316) | def encode_additional_info(self, predict_net, init_net):
    method _encode_anchor_generator_cfg (line 349) | def _encode_anchor_generator_cfg(self, predict_net):
    method get_outputs_converter (line 359) | def get_outputs_converter(predict_net, init_net):

FILE: VPS_Module/detectron2/export/caffe2_patch.py
  class GenericMixin (line 22) | class GenericMixin(object):
  class Caffe2CompatibleConverter (line 26) | class Caffe2CompatibleConverter(object):
    method __init__ (line 32) | def __init__(self, replaceCls):
    method create_from (line 35) | def create_from(self, module):
  function patch (line 57) | def patch(model, target, updater, *args, **kwargs):
  function patch_generalized_rcnn (line 70) | def patch_generalized_rcnn(model):
  function mock_fastrcnn_outputs_inference (line 79) | def mock_fastrcnn_outputs_inference(
  function mock_mask_rcnn_inference (line 94) | def mock_mask_rcnn_inference(tensor_mode, patched_module, check=True):
  function mock_keypoint_rcnn_inference (line 104) | def mock_keypoint_rcnn_inference(tensor_mode, patched_module, use_heatma...
  class ROIHeadsPatcher (line 114) | class ROIHeadsPatcher:
    method __init__ (line 115) | def __init__(self, heads, use_heatmap_max_keypoint):
    method mock_roi_heads (line 120) | def mock_roi_heads(self, tensor_mode=True):

FILE: VPS_Module/detectron2/export/flatten.py
  class Schema (line 15) | class Schema:
    method flatten (line 37) | def flatten(cls, obj):
    method __call__ (line 40) | def __call__(self, values):
    method _concat (line 44) | def _concat(values):
    method _split (line 54) | def _split(values, sizes):
  class ListSchema (line 68) | class ListSchema(Schema):
    method __call__ (line 72) | def __call__(self, values):
    method flatten (line 82) | def flatten(cls, obj):
  class TupleSchema (line 89) | class TupleSchema(ListSchema):
    method __call__ (line 90) | def __call__(self, values):
  class IdentitySchema (line 95) | class IdentitySchema(Schema):
    method __call__ (line 96) | def __call__(self, values):
    method flatten (line 100) | def flatten(cls, obj):
  class DictSchema (line 105) | class DictSchema(ListSchema):
    method __call__ (line 108) | def __call__(self, values):
    method flatten (line 113) | def flatten(cls, obj):
  class InstancesSchema (line 124) | class InstancesSchema(DictSchema):
    method __call__ (line 125) | def __call__(self, values):
    method flatten (line 131) | def flatten(cls, obj):
  class TensorWrapSchema (line 140) | class TensorWrapSchema(Schema):
    method __call__ (line 148) | def __call__(self, values):
    method flatten (line 152) | def flatten(cls, obj):
  function flatten_to_tuple (line 158) | def flatten_to_tuple(obj):
  class TracingAdapter (line 186) | class TracingAdapter(nn.Module):
    method __init__ (line 225) | def __init__(
    method forward (line 279) | def forward(self, *args: torch.Tensor):
    method _create_wrapper (line 319) | def _create_wrapper(self, traced_model):

FILE: VPS_Module/detectron2/export/shared.py
  function to_device (line 25) | def to_device(t, device_str):
  function BilinearInterpolation (line 48) | def BilinearInterpolation(tensor_in, up_scale):
  function onnx_compatibale_interpolate (line 82) | def onnx_compatibale_interpolate(
  function mock_torch_nn_functional_interpolate (line 116) | def mock_torch_nn_functional_interpolate():
  class ScopedWS (line 129) | class ScopedWS(object):
    method __init__ (line 130) | def __init__(self, ws_name, is_reset, is_cleanup=False):
    method __enter__ (line 136) | def __enter__(self):
    method __exit__ (line 145) | def __exit__(self, *args):
  function fetch_any_blob (line 152) | def fetch_any_blob(name):
  function get_pb_arg (line 167) | def get_pb_arg(pb, arg_name):
  function get_pb_arg_valf (line 174) | def get_pb_arg_valf(pb, arg_name, default_val):
  function get_pb_arg_floats (line 179) | def get_pb_arg_floats(pb, arg_name, default_val):
  function get_pb_arg_ints (line 184) | def get_pb_arg_ints(pb, arg_name, default_val):
  function get_pb_arg_vali (line 189) | def get_pb_arg_vali(pb, arg_name, default_val):
  function get_pb_arg_vals (line 194) | def get_pb_arg_vals(pb, arg_name, default_val):
  function get_pb_arg_valstrings (line 199) | def get_pb_arg_valstrings(pb, arg_name, default_val):
  function check_set_pb_arg (line 204) | def check_set_pb_arg(pb, arg_name, arg_attr, arg_value, allow_override=F...
  function _create_const_fill_op_from_numpy (line 222) | def _create_const_fill_op_from_numpy(name, tensor, device_option=None):
  function _create_const_fill_op_from_c2_int8_tensor (line 243) | def _create_const_fill_op_from_c2_int8_tensor(name, int8_tensor):
  function create_const_fill_op (line 265) | def create_const_fill_op(
  function construct_init_net_from_params (line 290) | def construct_init_net_from_params(
  function get_producer_map (line 314) | def get_producer_map(ssa):
  function get_consumer_map (line 327) | def get_consumer_map(ssa):
  function get_params_from_init_net (line 340) | def get_params_from_init_net(
  function _updater_raise (line 369) | def _updater_raise(op, input_types, output_types):
  function _generic_status_identifier (line 376) | def _generic_status_identifier(
  function infer_device_type (line 448) | def infer_device_type(
  function _modify_blob_names (line 491) | def _modify_blob_names(ops, blob_rename_f):
  function _rename_blob (line 507) | def _rename_blob(name, blob_sizes, blob_ranges):
  function save_graph (line 523) | def save_graph(net, file_name, graph_name="net", op_only=True, blob_size...
  function save_graph_base (line 528) | def save_graph_base(net, file_name, graph_name="net", op_only=True, blob...
  function group_norm_replace_aten_with_caffe2 (line 563) | def group_norm_replace_aten_with_caffe2(predict_net: caffe2_pb2.NetDef):
  function alias (line 592) | def alias(x, name, is_backward=False):
  function fuse_alias_placeholder (line 599) | def fuse_alias_placeholder(predict_net, init_net):
  class IllegalGraphTransformError (line 627) | class IllegalGraphTransformError(ValueError):
  function _rename_versioned_blob_in_proto (line 631) | def _rename_versioned_blob_in_proto(
  function rename_op_input (line 662) | def rename_op_input(
  function rename_op_output (line 729) | def rename_op_output(predict_net: caffe2_pb2.NetDef, op_id: int, output_...
  function get_sub_graph_external_input_output (line 750) | def get_sub_graph_external_input_output(
  class DiGraph (line 782) | class DiGraph:
    method __init__ (line 785) | def __init__(self):
    method add_edge (line 789) | def add_edge(self, u, v):
    method get_all_paths (line 795) | def get_all_paths(self, s, d):
    method from_ssa (line 816) | def from_ssa(ssa):
  function _get_dependency_chain (line 825) | def _get_dependency_chain(ssa, versioned_target, versioned_source):
  function identify_reshape_sub_graph (line 855) | def identify_reshape_sub_graph(predict_net: caffe2_pb2.NetDef) -> List[L...
  function remove_reshape_for_fc (line 882) | def remove_reshape_for_fc(predict_net, params):
  function fuse_copy_between_cpu_and_gpu (line 952) | def fuse_copy_between_cpu_and_gpu(predict_net: caffe2_pb2.NetDef):
  function remove_dead_end_ops (line 1010) | def remove_dead_end_ops(net_def: caffe2_pb2.NetDef):

FILE: VPS_Module/detectron2/export/torchscript.py
  function scripting_with_instances (line 13) | def scripting_with_instances(model, fields):
  function dump_torchscript_IR (line 63) | def dump_torchscript_IR(model, dir):

FILE: VPS_Module/detectron2/export/torchscript_patch.py
  function _clear_jit_cache (line 20) | def _clear_jit_cache():
  function _add_instances_conversion_methods (line 28) | def _add_instances_conversion_methods(newInstances):
  function patch_instances (line 51) | def patch_instances(fields):
  function _gen_instance_class (line 90) | def _gen_instance_class(fields):
  function _gen_instance_module (line 290) | def _gen_instance_module(fields):
  function _import (line 309) | def _import(path):
  function patch_builtin_len (line 316) | def patch_builtin_len(modules=()):
  function patch_nonscriptable_classes (line 342) | def patch_nonscriptable_classes():
  function freeze_training_mode (line 392) | def freeze_training_mode(model):

FILE: VPS_Module/detectron2/layers/aspp.py
  class ASPP (line 14) | class ASPP(nn.Module):
    method __init__ (line 19) | def __init__(
    method forward (line 129) | def forward(self, x):

FILE: VPS_Module/detectron2/layers/batch_norm.py
  class FrozenBatchNorm2d (line 13) | class FrozenBatchNorm2d(nn.Module):
    method __init__ (line 35) | def __init__(self, num_features, eps=1e-5):
    method forward (line 44) | def forward(self, x):
    method _load_from_state_dict (line 67) | def _load_from_state_dict(
    method __repr__ (line 84) | def __repr__(self):
    method convert_frozen_batchnorm (line 88) | def convert_frozen_batchnorm(cls, module):
  function get_norm (line 121) | def get_norm(norm, out_channels):
  class NaiveSyncBatchNorm (line 151) | class NaiveSyncBatchNorm(BatchNorm2d):
    method __init__ (line 179) | def __init__(self, *args, stats_mode="", **kwargs):
    method forward (line 184) | def forward(self, input):
  class CycleBatchNormList (line 232) | class CycleBatchNormList(nn.ModuleList):
    method __init__ (line 248) | def __init__(self, length: int, bn_class=nn.BatchNorm2d, **kwargs):
    method forward (line 264) | def forward(self, x):
    method extra_repr (line 275) | def extra_repr(self):

FILE: VPS_Module/detectron2/layers/blocks.py
  class CNNBlockBase (line 16) | class CNNBlockBase(nn.Module):
    method __init__ (line 29) | def __init__(self, in_channels, out_channels, stride):
    method freeze (line 43) | def freeze(self):
  class DepthwiseSeparableConv2d (line 58) | class DepthwiseSeparableConv2d(nn.Module):
    method __init__ (line 66) | def __init__(
    method forward (line 110) | def forward(self, x):

FILE: VPS_Module/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated.h
  function namespace (line 5) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/ROIAlignRotated/ROIAlignRotated_cpu.cpp
  type detectron2 (line 12) | namespace detectron2 {
    type PreCalc (line 16) | struct PreCalc {
    function pre_calc_for_bilinear_interpolate (line 28) | void pre_calc_for_bilinear_interpolate(
    function bilinear_interpolate_gradient (line 132) | void bilinear_interpolate_gradient(
    function add (line 195) | inline void add(T* address, const T& val) {
    function ROIAlignRotatedForward (line 202) | void ROIAlignRotatedForward(
    function ROIAlignRotatedBackward (line 313) | void ROIAlignRotatedBackward(
    function ROIAlignRotated_forward_cpu (line 418) | at::Tensor ROIAlignRotated_forward_cpu(
    function ROIAlignRotated_backward_cpu (line 466) | at::Tensor ROIAlignRotated_backward_cpu(

FILE: VPS_Module/detectron2/layers/csrc/box_iou_rotated/box_iou_rotated.h
  function namespace (line 5) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/box_iou_rotated/box_iou_rotated_cpu.cpp
  type detectron2 (line 5) | namespace detectron2 {
    function box_iou_rotated_cpu_kernel (line 8) | void box_iou_rotated_cpu_kernel(
    function box_iou_rotated_cpu (line 23) | at::Tensor box_iou_rotated_cpu(

FILE: VPS_Module/detectron2/layers/csrc/box_iou_rotated/box_iou_rotated_utils.h
  function namespace (line 17) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/cocoeval/cocoeval.cpp
  type detectron2 (line 10) | namespace detectron2 {
    type COCOeval (line 12) | namespace COCOeval {
      function SortInstancesByDetectionScore (line 18) | void SortInstancesByDetectionScore(
      function SortInstancesByIgnore (line 34) | void SortInstancesByIgnore(
      function MatchDetectionsToGroundTruth (line 61) | void MatchDetectionsToGroundTruth(
      function EvaluateImages (line 142) | std::vector<ImageEvaluation> EvaluateImages(
      function list_to_vec (line 203) | std::vector<T> list_to_vec(const py::list& l) {
      function BuildSortedDetectionList (line 223) | int BuildSortedDetectionList(
      function ComputePrecisionRecallCurve (line 284) | void ComputePrecisionRecallCurve(
      function Accumulate (line 372) | py::dict Accumulate(

FILE: VPS_Module/detectron2/layers/csrc/cocoeval/cocoeval.h
  function namespace (line 12) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/deformable/deform_conv.h
  function namespace (line 5) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/nms_rotated/nms_rotated.h
  function namespace (line 5) | namespace detectron2 {

FILE: VPS_Module/detectron2/layers/csrc/nms_rotated/nms_rotated_cpu.cpp
  type detectron2 (line 5) | namespace detectron2 {
    function nms_rotated_cpu_kernel (line 8) | at::Tensor nms_rotated_cpu_kernel(
    function nms_rotated_cpu (line 62) | at::Tensor nms_rotated_cpu(

FILE: VPS_Module/detectron2/layers/csrc/vision.cpp
  type detectron2 (line 10) | namespace detectron2 {
    function get_cuda_version (line 16) | std::string get_cuda_version() {
    function has_cuda (line 41) | bool has_cuda() {
    function get_compiler_version (line 51) | std::string get_compiler_version() {
    function PYBIND11_MODULE (line 77) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
    function TORCH_LIBRARY (line 111) | TORCH_LIBRARY(detectron2, m) {

FILE: VPS_Module/detectron2/layers/deform_conv.py
  class _DeformConv (line 16) | class _DeformConv(Function):
    method forward (line 18) | def forward(
    method backward (line 84) | def backward(ctx, grad_output):
    method _output_size (line 145) | def _output_size(input, weight, padding, dilation, stride):
    method _cal_im2col_step (line 164) | def _cal_im2col_step(input_size, default_size):
  class _ModulatedDeformConv (line 186) | class _ModulatedDeformConv(Function):
    method forward (line 188) | def forward(
    method backward (line 245) | def backward(ctx, grad_output):
    method _infer_shape (line 297) | def _infer_shape(ctx, input, weight):
  class DeformConv (line 315) | class DeformConv(nn.Module):
    method __init__ (line 316) | def __init__(
    method forward (line 368) | def forward(self, x, offset):
    method extra_repr (line 399) | def extra_repr(self):
  class ModulatedDeformConv (line 412) | class ModulatedDeformConv(nn.Module):
    method __init__ (line 413) | def __init__(
    method forward (line 462) | def forward(self, x, offset, mask):
    method extra_repr (line 491) | def extra_repr(self):

FILE: VPS_Module/detectron2/layers/losses.py
  function diou_loss (line 5) | def diou_loss(
  function ciou_loss (line 66) | def ciou_loss(

FILE: VPS_Module/detectron2/layers/mask_ops.py
  function _do_paste_mask (line 17) | def _do_paste_mask(masks, boxes, img_h: int, img_w: int, skip_empty: boo...
  function paste_masks_in_image (line 74) | def paste_masks_in_image(
  function paste_mask_in_image_old (line 155) | def paste_mask_in_image_old(mask, box, img_h, img_w, threshold):
  function pad_masks (line 219) | def pad_masks(masks, padding):
  function scale_boxes (line 237) | def scale_boxes(boxes, scale):
  function _paste_masks_tensor_shape (line 264) | def _paste_masks_tensor_shape(

FILE: VPS_Module/detectron2/layers/nms.py
  function batched_nms (line 9) | def batched_nms(
  function nms_rotated (line 25) | def nms_rotated(boxes, scores, iou_threshold):
  function batched_nms_rotated (line 91) | def batched_nms_rotated(boxes, scores, idxs, iou_threshold):

FILE: VPS_Module/detectron2/layers/roi_align.py
  class ROIAlign (line 7) | class ROIAlign(nn.Module):
    method __init__ (line 8) | def __init__(self, output_size, spatial_scale, sampling_ratio, aligned...
    method forward (line 49) | def forward(self, input, rois):
    method __repr__ (line 67) | def __repr__(self):

FILE: VPS_Module/detectron2/layers/roi_align_rotated.py
  class _ROIAlignRotated (line 9) | class _ROIAlignRotated(Function):
    method forward (line 11) | def forward(ctx, input, roi, output_size, spatial_scale, sampling_ratio):
    method backward (line 24) | def backward(ctx, grad_output):
  class ROIAlignRotated (line 48) | class ROIAlignRotated(nn.Module):
    method __init__ (line 49) | def __init__(self, output_size, spatial_scale, sampling_ratio):
    method forward (line 69) | def forward(self, input, rois):
    method __repr__ (line 85) | def __repr__(self):

FILE: VPS_Module/detectron2/layers/rotated_boxes.py
  function pairwise_iou_rotated (line 6) | def pairwise_iou_rotated(boxes1, boxes2):

FILE: VPS_Module/detectron2/layers/shape_spec.py
  class ShapeSpec (line 6) | class ShapeSpec(namedtuple("_ShapeSpec", ["channels", "height", "width",...
    method __new__ (line 19) | def __new__(cls, channels=None, height=None, width=None, stride=None):

FILE: VPS_Module/detectron2/layers/wrappers.py
  function shapes_to_tensor (line 16) | def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None...
  function cat (line 38) | def cat(tensors: List[torch.Tensor], dim: int = 0):
  function cross_entropy (line 48) | def cross_entropy(input, target, *, reduction="mean", **kwargs):
  class _NewEmptyTensorOp (line 58) | class _NewEmptyTensorOp(torch.autograd.Function):
    method forward (line 60) | def forward(ctx, x, new_shape):
    method backward (line 65) | def backward(ctx, grad):
  class Conv2d (line 70) | class Conv2d(torch.nn.Conv2d):
    method __init__ (line 75) | def __init__(self, *args, **kwargs):
    method forward (line 92) | def forward(self, x):
  function nonzero_tuple (line 122) | def nonzero_tuple(x):

FILE: VPS_Module/detectron2/model_zoo/model_zoo.py
  class _ModelZooUrls (line 12) | class _ModelZooUrls(object):
    method query (line 99) | def query(config_path: str) -> Optional[str]:
  function get_checkpoint_url (line 111) | def get_checkpoint_url(config_path):
  function get_config_file (line 128) | def get_config_file(config_path):
  function get_config (line 147) | def get_config(config_path, trained: bool = False):
  function get (line 180) | def get(config_path, trained: bool = False, device: Optional[str] = None):

FILE: VPS_Module/detectron2/modeling/anchor_generator.py
  class BufferList (line 21) | class BufferList(nn.Module):
    method __init__ (line 26) | def __init__(self, buffers):
    method __len__ (line 32) | def __len__(self):
    method __iter__ (line 35) | def __iter__(self):
  function _create_grid_offsets (line 39) | def _create_grid_offsets(size: List[int], stride: int, offset: float, de...
  function _broadcast_params (line 54) | def _broadcast_params(params, num_features, name):
  class DefaultAnchorGenerator (line 82) | class DefaultAnchorGenerator(nn.Module):
    method __init__ (line 94) | def __init__(self, *, sizes, aspect_ratios, strides, offset=0.5):
    method from_config (line 124) | def from_config(cls, cfg, input_shape: List[ShapeSpec]):
    method _calculate_anchors (line 132) | def _calculate_anchors(self, sizes, aspect_ratios):
    method num_cell_anchors (line 140) | def num_cell_anchors(self):
    method num_anchors (line 148) | def num_anchors(self):
    method _grid_anchors (line 161) | def _grid_anchors(self, grid_sizes: List[List[int]]):
    method generate_cell_anchors (line 177) | def generate_cell_anchors(self, sizes=(32, 64, 128, 256, 512), aspect_...
    method forward (line 214) | def forward(self, features: List[torch.Tensor]):
  class RotatedAnchorGenerator (line 231) | class RotatedAnchorGenerator(nn.Module):
    method __init__ (line 243) | def __init__(self, *, sizes, aspect_ratios, strides, angles, offset=0.5):
    method from_config (line 276) | def from_config(cls, cfg, input_shape: List[ShapeSpec]):
    method _calculate_anchors (line 285) | def _calculate_anchors(self, sizes, aspect_ratios, angles):
    method num_cell_anchors (line 293) | def num_cell_anchors(self):
    method num_anchors (line 300) | def num_anchors(self):
    method _grid_anchors (line 314) | def _grid_anchors(self, grid_sizes):
    method generate_cell_anchors (line 325) | def generate_cell_anchors(
    method forward (line 361) | def forward(self, features):
  function build_anchor_generator (line 377) | def build_anchor_generator(cfg, input_shape):

FILE: VPS_Module/detectron2/modeling/backbone/backbone.py
  class Backbone (line 10) | class Backbone(nn.Module, metaclass=ABCMeta):
    method __init__ (line 15) | def __init__(self):
    method forward (line 22) | def forward(self):
    method size_divisibility (line 32) | def size_divisibility(self) -> int:
    method output_shape (line 42) | def output_shape(self):

FILE: VPS_Module/detectron2/modeling/backbone/build.py
  function build_backbone (line 20) | def build_backbone(cfg, input_shape=None):

FILE: VPS_Module/detectron2/modeling/backbone/fpn.py
  class FPN (line 17) | class FPN(Backbone):
    method __init__ (line 25) | def __init__(
    method size_divisibility (line 110) | def size_divisibility(self):
    method forward (line 113) | def forward(self, x):
    method output_shape (line 156) | def output_shape(self):
  function _assert_strides_are_log2_contiguous (line 165) | def _assert_strides_are_log2_contiguous(strides):
  class LastLevelMaxPool (line 175) | class LastLevelMaxPool(nn.Module):
    method __init__ (line 181) | def __init__(self):
    method forward (line 186) | def forward(self, x):
  class LastLevelP6P7 (line 190) | class LastLevelP6P7(nn.Module):
    method __init__ (line 196) | def __init__(self, in_channels, out_channels, in_feature="res5"):
    method forward (line 205) | def forward(self, c5):
  function build_resnet_fpn_backbone (line 212) | def build_resnet_fpn_backbone(cfg, input_shape: ShapeSpec):
  function build_retinanet_resnet_fpn_backbone (line 235) | def build_retinanet_resnet_fpn_backbone(cfg, input_shape: ShapeSpec):

FILE: VPS_Module/detectron2/modeling/backbone/regnet.py
  function conv2d (line 28) | def conv2d(w_in, w_out, k, *, stride=1, groups=1, bias=False):
  function gap2d (line 35) | def gap2d():
  function pool2d (line 40) | def pool2d(k, *, stride=1):
  function init_weights (line 46) | def init_weights(m):
  class ResStem (line 60) | class ResStem(CNNBlockBase):
    method __init__ (line 63) | def __init__(self, w_in, w_out, norm, activation_class):
    method forward (line 70) | def forward(self, x):
  class SimpleStem (line 76) | class SimpleStem(CNNBlockBase):
    method __init__ (line 79) | def __init__(self, w_in, w_out, norm, activation_class):
    method forward (line 85) | def forward(self, x):
  class SE (line 91) | class SE(nn.Module):
    method __init__ (line 94) | def __init__(self, w_in, w_se, activation_class):
    method forward (line 104) | def forward(self, x):
  class VanillaBlock (line 108) | class VanillaBlock(CNNBlockBase):
    method __init__ (line 111) | def __init__(self, w_in, w_out, stride, norm, activation_class, _params):
    method forward (line 120) | def forward(self, x):
  class BasicTransform (line 126) | class BasicTransform(nn.Module):
    method __init__ (line 129) | def __init__(self, w_in, w_out, stride, norm, activation_class, _params):
    method forward (line 138) | def forward(self, x):
  class ResBasicBlock (line 144) | class ResBasicBlock(CNNBlockBase):
    method __init__ (line 147) | def __init__(self, w_in, w_out, stride, norm, activation_class, params):
    method forward (line 156) | def forward(self, x):
  class BottleneckTransform (line 161) | class BottleneckTransform(nn.Module):
    method __init__ (line 164) | def __init__(self, w_in, w_out, stride, norm, activation_class, params):
    method forward (line 180) | def forward(self, x):
  class ResBottleneckBlock (line 186) | class ResBottleneckBlock(CNNBlockBase):
    method __init__ (line 189) | def __init__(self, w_in, w_out, stride, norm, activation_class, params):
    method forward (line 198) | def forward(self, x):
  class AnyStage (line 203) | class AnyStage(nn.Module):
    method __init__ (line 206) | def __init__(self, w_in, w_out, stride, d, block_class, norm, activati...
    method forward (line 213) | def forward(self, x):
  class AnyNet (line 219) | class AnyNet(Backbone):
    method __init__ (line 222) | def __init__(
    method forward (line 305) | def forward(self, x):
    method output_shape (line 324) | def output_shape(self):
    method freeze (line 332) | def freeze(self, freeze_at=0):
  function adjust_block_compatibility (line 356) | def adjust_block_compatibility(ws, bs, gs):
  function generate_regnet_parameters (line 369) | def generate_regnet_parameters(w_a, w_0, w_m, d, q=8):
  class RegNet (line 387) | class RegNet(AnyNet):
    method __init__ (line 390) | def __init__(

FILE: VPS_Module/detectron2/modeling/backbone/resnet.py
  class BasicBlock (line 32) | class BasicBlock(CNNBlockBase):
    method __init__ (line 38) | def __init__(self, in_channels, out_channels, *, stride=1, norm="BN"):
    method forward (line 85) | def forward(self, x):
  class BottleneckBlock (line 100) | class BottleneckBlock(CNNBlockBase):
    method __init__ (line 107) | def __init__(
    method forward (line 194) | def forward(self, x):
  class DeformBottleneckBlock (line 213) | class DeformBottleneckBlock(CNNBlockBase):
    method __init__ (line 219) | def __init__(
    method forward (line 303) | def forward(self, x):
  class BasicStem (line 330) | class BasicStem(CNNBlockBase):
    method __init__ (line 336) | def __init__(self, in_channels=3, out_channels=64, norm="BN"):
    method forward (line 355) | def forward(self, x):
  class ResNet (line 362) | class ResNet(Backbone):
    method __init__ (line 367) | def __init__(self, stem, stages, num_classes=None, out_features=None, ...
    method forward (line 435) | def forward(self, x):
    method output_shape (line 462) | def output_shape(self):
    method freeze (line 470) | def freeze(self, freeze_at=0):
    method make_stage (line 495) | def make_stage(block_class, num_blocks, *, in_channels, out_channels, ...
    method make_default_stages (line 550) | def make_default_stages(depth, block_class=None, **kwargs):
  function make_stage (line 608) | def make_stage(*args, **kwargs):
  function build_resnet_backbone (line 616) | def build_resnet_backbone(cfg, input_shape):

FILE: VPS_Module/detectron2/modeling/box_regression.py
  class Box2BoxTransform (line 21) | class Box2BoxTransform(object):
    method __init__ (line 28) | def __init__(
    method get_deltas (line 43) | def get_deltas(self, src_boxes, target_boxes):
    method apply_deltas (line 78) | def apply_deltas(self, deltas, boxes):
  class Box2BoxTransformRotated (line 120) | class Box2BoxTransformRotated(object):
    method __init__ (line 129) | def __init__(
    method get_deltas (line 145) | def get_deltas(self, src_boxes, target_boxes):
    method apply_deltas (line 183) | def apply_deltas(self, deltas, boxes):
  class Box2BoxTransformLinear (line 230) | class Box2BoxTransformLinear(object):
    method __init__ (line 236) | def __init__(self, normalize_by_size=True):
    method get_deltas (line 243) | def get_deltas(self, src_boxes, target_boxes):
    method apply_deltas (line 275) | def apply_deltas(self, deltas, boxes):
  function _dense_box_regression_loss (line 310) | def _dense_box_regression_loss(

FILE: VPS_Module/detectron2/modeling/matcher.py
  class Matcher (line 9) | class Matcher(object):
    method __init__ (line 25) | def __init__(
    method __call__ (line 62) | def __call__(self, match_quality_matrix):
    method set_low_quality_matches_ (line 106) | def set_low_quality_matches_(self, match_labels, match_quality_matrix):

FILE: VPS_Module/detectron2/modeling/meta_arch/build.py
  function build_model (line 16) | def build_model(cfg):

FILE: VPS_Module/detectron2/modeling/meta_arch/dense_detector.py
  function permute_to_N_HWA_K (line 14) | def permute_to_N_HWA_K(tensor, K: int):
  class DenseDetector (line 26) | class DenseDetector(nn.Module):
    method __init__ (line 32) | def __init__(
    method device (line 69) | def device(self):
    method forward (line 72) | def forward(self, batched_inputs: List[Dict[str, Tensor]]):
    method forward_training (line 117) | def forward_training(self, images, features, predictions, gt_instances):
    method preprocess_image (line 120) | def preprocess_image(self, batched_inputs: List[Dict[str, Tensor]]):
    method _transpose_dense_predictions (line 129) | def _transpose_dense_predictions(
    method _ema_update (line 153) | def _ema_update(self, name: str, value: float, initial_value: float, m...
    method _decode_per_level_predictions (line 179) | def _decode_per_level_predictions(
    method _decode_multi_level_predictions (line 223) | def _decode_multi_level_predictions(
    method visualize_training (line 249) | def visualize_training(self, batched_inputs, results):

FILE: VPS_Module/detectron2/modeling/meta_arch/fcos.py
  class FCOS (line 26) | class FCOS(DenseDetector):
    method __init__ (line 31) | def __init__(
    method forward_training (line 87) | def forward_training(self, images, features, predictions, gt_instances):
    method match_anchors (line 99) | def match_anchors(self, anchors: List[Boxes], gt_instances: List[Insta...
    method label_anchors (line 151) | def label_anchors(self, anchors, gt_instances):
    method losses (line 171) | def losses(
    method compute_ctrness_targets (line 218) | def compute_ctrness_targets(self, anchors, gt_boxes):  # NxR
    method forward_inference (line 231) | def forward_inference(
    method inference_single_image (line 254) | def inference_single_image(
  class FCOSHead (line 278) | class FCOSHead(RetinaNetHead):
    method __init__ (line 284) | def __init__(self, *, input_shape: List[ShapeSpec], conv_dims: List[in...
    method forward (line 293) | def forward(self, features):

FILE: VPS_Module/detectron2/modeling/meta_arch/panoptic_fpn.py
  class PanopticFPN (line 36) | class PanopticFPN(GeneralizedRCNN):
    method __init__ (line 42) | def __init__(
    method from_config (line 103) | def from_config(cls, cfg):
    method forward (line 137) | def forward(self, batched_inputs):
    method wrap_in_stage2 (line 193) | def wrap_in_stage2(self, seq):
    method train_fusion (line 242) | def train_fusion(self, batched_inputs):
    method inference_fusion (line 254) | def inference_fusion(self, batched_inputs, do_postprocess=True):
    method flow_transport_feature (line 310) | def flow_transport_feature(self, features, ori_flow):
    method flow_transport_feature_with_depth (line 346) | def flow_transport_feature_with_depth(self, features, ori_flow, ori_de...
    method pose_transport_depth (line 388) | def pose_transport_depth(self, ori_depth, pose):
    method fusion_module (line 410) | def fusion_module(self, features):
    method depth_filter (line 416) | def depth_filter(self, u1, v1, u, v, dep_uv):
    method resize (line 433) | def resize(self, mask, output_size):
    method read_vkitti_png_flow (line 440) | def read_vkitti_png_flow(self, bgr, ori_shape):
    method inference (line 453) | def inference(self, batched_inputs: List[Dict[str, torch.Tensor]], do_...
  function combine_semantic_and_instance_outputs (line 497) | def combine_semantic_and_instance_outputs(

FILE: VPS_Module/detectron2/modeling/meta_arch/panoptic_fpn_train.py
  class PanopticFPN (line 42) | class PanopticFPN(GeneralizedRCNN):
    method __init__ (line 48) | def __init__(
    method from_config (line 131) | def from_config(cls, cfg):
    method forward (line 164) | def forward(self, batched_inputs):
    method wrap_in_stage2 (line 220) | def wrap_in_stage2(self, seq):
    method wrap_in_stage1 (line 281) | def wrap_in_stage1(self, seq):
    method wrap_in_stage1_2 (line 341) | def wrap_in_stage1_2(self, seq):
    method train_fusion (line 398) | def train_fusion(self, batched_inputs): # batch_size = 1
    method inference_fusion (line 425) | def inference_fusion(self, batched_inputs, do_postprocess=True):
    method flow_transport_feature (line 490) | def flow_transport_feature(self, features, ori_flow): # 3xHxW
    method flow_transport_img (line 530) | def flow_transport_img(self, image, ori_flow):
    method depth_filter (line 562) | def depth_filter(self, u1, v1, u, v, dep_uv):
    method flow_transport_feature_with_depth (line 579) | def flow_transport_feature_with_depth(self, features, ori_flow, ori_de...
    method flow_transport_img_with_depth (line 624) | def flow_transport_img_with_depth(self, image, ori_flow, ori_depth): #...
    method pose_transport_feature (line 659) | def pose_transport_feature(self, features, ori_depth, pose):
    method pose_transport_depth (line 715) | def pose_transport_depth(self, ori_depth, pose):
    method fusion_module (line 737) | def fusion_module(self, features):
    method resize (line 744) | def resize(self, mask, output_size):
    method read_vkitti_png_flow (line 751) | def read_vkitti_png_flow(self, bgr, ori_shape):
    method inference (line 764) | def inference(self, batched_inputs: List[Dict[str, torch.Tensor]], do_...
  function combine_semantic_and_instance_outputs (line 808) | def combine_semantic_and_instance_outputs(

FILE: VPS_Module/detectron2/modeling/meta_arch/rcnn.py
  class GeneralizedRCNN (line 24) | class GeneralizedRCNN(nn.Module):
    method __init__ (line 33) | def __init__(
    method from_config (line 75) | def from_config(cls, cfg):
    method device (line 88) | def device(self):
    method visualize_training (line 91) | def visualize_training(self, batched_inputs, proposals):
    method forward (line 126) | def forward(self, batched_inputs: List[Dict[str, torch.Tensor]]):
    method inference (line 178) | def inference(
    method preprocess_image (line 224) | def preprocess_image(self, batched_inputs: List[Dict[str, torch.Tensor...
    method _postprocess (line 234) | def _postprocess(instances, batched_inputs: List[Dict[str, torch.Tenso...
  class ProposalNetwork (line 251) | class ProposalNetwork(nn.Module):
    method __init__ (line 257) | def __init__(
    method from_config (line 279) | def from_config(cls, cfg):
    method device (line 289) | def device(self):
    method forward (line 292) | def forward(self, batched_inputs):

FILE: VPS_Module/detectron2/modeling/meta_arch/retinanet.py
  class RetinaNet (line 29) | class RetinaNet(DenseDetector):
    method __init__ (line 35) | def __init__(
    method from_config (line 116) | def from_config(cls, cfg):
    method forward_training (line 151) | def forward_training(self, images, features, predictions, gt_instances):
    method losses (line 160) | def losses(self, anchors, pred_logits, gt_labels, pred_anchor_deltas, ...
    method label_anchors (line 213) | def label_anchors(self, anchors, gt_instances):
    method forward_inference (line 257) | def forward_inference(
    method inference_single_image (line 275) | def inference_single_image(
  class RetinaNetHead (line 311) | class RetinaNetHead(nn.Module):
    method __init__ (line 318) | def __init__(
    method from_config (line 401) | def from_config(cls, cfg, input_shape: List[ShapeSpec]):
    method forward (line 417) | def forward(self, features: List[Tensor]):

FILE: VPS_Module/detectron2/modeling/meta_arch/semantic_seg.py
  class SemanticSegmentor (line 34) | class SemanticSegmentor(nn.Module):
    method __init__ (line 40) | def __init__(
    method from_config (line 62) | def from_config(cls, cfg):
    method device (line 73) | def device(self):
    method forward (line 76) | def forward(self, batched_inputs):
  function build_sem_seg_head (line 127) | def build_sem_seg_head(cfg, input_shape):
  class SemSegFPNHead (line 136) | class SemSegFPNHead(nn.Module):
    method __init__ (line 146) | def __init__(
    method from_config (line 211) | def from_config(cls, cfg, input_shape: Dict[str, ShapeSpec]):
    method forward (line 224) | def forward(self, features, targets=None):
    method layers (line 243) | def layers(self, features):
    method losses (line 253) | def losses(self, predictions, targets):

FILE: VPS_Module/detectron2/modeling/mmdet_wrapper.py
  function _to_container (line 21) | def _to_container(cfg):
  class MMDetBackbone (line 33) | class MMDetBackbone(Backbone):
    method __init__ (line 43) | def __init__(
    method forward (line 102) | def forward(self, x) -> Dict[str, Tensor]:
    method output_shape (line 116) | def output_shape(self) -> Dict[str, ShapeSpec]:
  class MMDetDetector (line 120) | class MMDetDetector(nn.Module):
    method __init__ (line 127) | def __init__(
    method forward (line 158) | def forward(self, batched_inputs: List[Dict[str, torch.Tensor]]):
    method device (line 225) | def device(self):
  function _convert_mmdet_result (line 231) | def _convert_mmdet_result(result, shape: Tuple[int, int]) -> Instances:
  function _parse_losses (line 259) | def _parse_losses(losses: Dict[str, Tensor]) -> Dict[str, Tensor]:

FILE: VPS_Module/detectron2/modeling/poolers.py
  function assign_boxes_to_levels (line 22) | def assign_boxes_to_levels(
  function convert_boxes_to_pooler_format (line 61) | def convert_boxes_to_pooler_format(box_lists: List[Boxes]):
  class ROIPooler (line 93) | class ROIPooler(nn.Module):
    method __init__ (line 99) | def __init__(
    method forward (line 185) | def forward(self, x: List[torch.Tensor], box_lists: List[Boxes]):

FILE: VPS_Module/detectron2/modeling/postprocessing.py
  function detector_postprocess (line 9) | def detector_postprocess(
  function sem_seg_postprocess (line 78) | def sem_seg_postprocess(result, img_size, output_height, output_width):

FILE: VPS_Module/detectron2/modeling/proposal_generator/build.py
  function build_proposal_generator (line 15) | def build_proposal_generator(cfg, input_shape):

FILE: VPS_Module/detectron2/modeling/proposal_generator/proposal_utils.py
  function _is_tracing (line 13) | def _is_tracing():
  function find_top_rpn_proposals (line 22) | def find_top_rpn_proposals(
  function add_ground_truth_to_proposals (line 129) | def add_ground_truth_to_proposals(
  function add_ground_truth_to_proposals_single_image (line 158) | def add_ground_truth_to_proposals_single_image(

FILE: VPS_Module/detectron2/modeling/proposal_generator/rpn.py
  function build_rpn_head (line 58) | def build_rpn_head(cfg, input_shape):
  class StandardRPNHead (line 67) | class StandardRPNHead(nn.Module):
    method __init__ (line 76) | def __init__(
    method _get_rpn_conv (line 126) | def _get_rpn_conv(self, in_channels, out_channels):
    method from_config (line 137) | def from_config(cls, cfg, input_shape):
    method forward (line 158) | def forward(self, features: List[torch.Tensor]):
  class RPN (line 181) | class RPN(nn.Module):
    method __init__ (line 187) | def __init__(
    method from_config (line 259) | def from_config(cls, cfg, input_shape: Dict[str, ShapeSpec]):
    method _subsample_labels (line 287) | def _subsample_labels(self, label):
    method label_and_sample_anchors (line 307) | def label_and_sample_anchors(
    method losses (line 366) | def losses(
    method forward (line 431) | def forward(
    method predict_proposals (line 482) | def predict_proposals(
    method _decode_proposals (line 514) | def _decode_proposals(self, anchors: List[Boxes], pred_anchor_deltas: ...

FILE: VPS_Module/detectron2/modeling/proposal_generator/rrpn.py
  function find_top_rrpn_proposals (line 20) | def find_top_rrpn_proposals(
  class RRPN (line 125) | class RRPN(RPN):
    method __init__ (line 131) | def __init__(self, *args, **kwargs):
    method from_config (line 139) | def from_config(cls, cfg, input_shape: Dict[str, ShapeSpec]):
    method label_and_sample_anchors (line 145) | def label_and_sample_anchors(self, anchors: List[RotatedBoxes], gt_ins...
    method predict_proposals (line 192) | def predict_proposals(self, anchors, pred_objectness_logits, pred_anch...

FILE: VPS_Module/detectron2/modeling/roi_heads/box_head.py
  class FastRCNNConvFCHead (line 26) | class FastRCNNConvFCHead(nn.Sequential):
    method __init__ (line 33) | def __init__(
    method from_config (line 82) | def from_config(cls, cfg, input_shape):
    method forward (line 94) | def forward(self, x):
    method output_shape (line 101) | def output_shape(self):
  function build_box_head (line 113) | def build_box_head(cfg, input_shape):

FILE: VPS_Module/detectron2/modeling/roi_heads/cascade_rcnn.py
  class _ScaleGradient (line 20) | class _ScaleGradient(Function):
    method forward (line 22) | def forward(ctx, input, scale):
    method backward (line 27) | def backward(ctx, grad_output):
  class CascadeROIHeads (line 32) | class CascadeROIHeads(StandardROIHeads):
    method __init__ (line 38) | def __init__(
    method from_config (line 81) | def from_config(cls, cfg, input_shape):
    method _init_box_head (line 87) | def _init_box_head(cls, cfg, input_shape):
    method forward (line 137) | def forward(self, images, features, proposals, targets=None):
    method _forward_box (line 153) | def _forward_box(self, features, proposals, targets=None):
    method _match_and_label_boxes (line 209) | def _match_and_label_boxes(self, proposals, stage, targets):
    method _run_stage (line 258) | def _run_stage(self, features, proposals, stage):
    method _create_proposals_from_boxes (line 278) | def _create_proposals_from_boxes(self, boxes, image_sizes):

FILE: VPS_Module/detectron2/modeling/roi_heads/fast_rcnn.py
  function fast_rcnn_inference (line 45) | def fast_rcnn_inference(
  function _log_classification_stats (line 87) | def _log_classification_stats(pred_logits, gt_classes, prefix="fast_rcnn"):
  function fast_rcnn_inference_single_image (line 117) | def fast_rcnn_inference_single_image(
  class FastRCNNOutputLayers (line 173) | class FastRCNNOutputLayers(nn.Module):
    method __init__ (line 182) | def __init__(
    method from_config (line 243) | def from_config(cls, cfg, input_shape):
    method forward (line 259) | def forward(self, x):
    method losses (line 278) | def losses(self, predictions, proposals):
    method box_reg_loss (line 320) | def box_reg_loss(self, proposal_boxes, gt_boxes, pred_deltas, gt_class...
    method inference (line 361) | def inference(self, predictions: Tuple[torch.Tensor, torch.Tensor], pr...
    method predict_boxes_for_gt_classes (line 384) | def predict_boxes_for_gt_classes(self, predictions, proposals):
    method predict_boxes (line 419) | def predict_boxes(
    method predict_probs (line 445) | def predict_probs(

FILE: VPS_Module/detectron2/modeling/roi_heads/keypoint_head.py
  function build_keypoint_head (line 32) | def build_keypoint_head(cfg, input_shape):
  function keypoint_rcnn_loss (line 40) | def keypoint_rcnn_loss(pred_keypoint_logits, instances, normalizer):
  function keypoint_rcnn_inference (line 99) | def keypoint_rcnn_inference(pred_keypoint_logits: torch.Tensor, pred_ins...
  class BaseKeypointRCNNHead (line 135) | class BaseKeypointRCNNHead(nn.Module):
    method __init__ (line 142) | def __init__(self, *, num_keypoints, loss_weight=1.0, loss_normalizer=...
    method from_config (line 161) | def from_config(cls, cfg, input_shape):
    method forward (line 179) | def forward(self, x, instances: List[Instances]):
    method layers (line 207) | def layers(self, x):
  class KRCNNConvDeconvUpsampleHead (line 218) | class KRCNNConvDeconvUpsampleHead(BaseKeypointRCNNHead, nn.Sequential):
    method __init__ (line 226) | def __init__(self, input_shape, *, num_keypoints, conv_dims, **kwargs):
    method from_config (line 262) | def from_config(cls, cfg, input_shape):
    method layers (line 268) | def layers(self, x):

FILE: VPS_Module/detectron2/modeling/roi_heads/mask_head.py
  function mask_rcnn_loss (line 32) | def mask_rcnn_loss(pred_mask_logits: torch.Tensor, instances: List[Insta...
  function mask_rcnn_inference (line 114) | def mask_rcnn_inference(pred_mask_logits: torch.Tensor, pred_instances: ...
  class BaseMaskRCNNHead (line 155) | class BaseMaskRCNNHead(nn.Module):
    method __init__ (line 161) | def __init__(self, *, loss_weight: float = 1.0, vis_period: int = 0):
    method from_config (line 174) | def from_config(cls, cfg, input_shape):
    method forward (line 177) | def forward(self, x, instances: List[Instances]):
    method layers (line 198) | def layers(self, x):
  class MaskRCNNConvUpsampleHead (line 209) | class MaskRCNNConvUpsampleHead(BaseMaskRCNNHead, nn.Sequential):
    method __init__ (line 216) | def __init__(self, input_shape: ShapeSpec, *, num_classes, conv_dims, ...
    method from_config (line 266) | def from_config(cls, cfg, input_shape):
    method layers (line 281) | def layers(self, x):
  function build_mask_head (line 287) | def build_mask_head(cfg, input_shape):

FILE: VPS_Module/detectron2/modeling/roi_heads/roi_heads.py
  function build_roi_heads (line 38) | def build_roi_heads(cfg, input_shape):
  function select_foreground_proposals (line 46) | def select_foreground_proposals(
  function select_proposals_with_visible_keypoints (line 78) | def select_proposals_with_visible_keypoints(proposals: List[Instances]) ...
  class ROIHeads (line 123) | class ROIHeads(torch.nn.Module):
    method __init__ (line 139) | def __init__(
    method from_config (line 167) | def from_config(cls, cfg):
    method _sample_proposals (line 181) | def _sample_proposals(
    method label_and_sample_proposals (line 220) | def label_and_sample_proposals(
    method forward (line 304) | def forward(
  class Res5ROIHeads (line 342) | class Res5ROIHeads(ROIHeads):
    method __init__ (line 351) | def __init__(
    method from_config (line 387) | def from_config(cls, cfg, input_shape):
    method _build_res5_block (line 429) | def _build_res5_block(cls, cfg):
    method _shared_roi_transform (line 455) | def _shared_roi_transform(self, features: List[torch.Tensor], boxes: L...
    method forward (line 459) | def forward(
    method forward_with_given_boxes (line 502) | def forward_with_given_boxes(
  class StandardROIHeads (line 530) | class StandardROIHeads(ROIHeads):
    method __init__ (line 543) | def __init__(
    method from_config (line 601) | def from_config(cls, cfg, input_shape):
    method _init_box_head (line 618) | def _init_box_head(cls, cfg, input_shape):
    method _init_mask_head (line 655) | def _init_mask_head(cls, cfg, input_shape):
    method _init_keypoint_head (line 689) | def _init_keypoint_head(cls, cfg, input_shape):
    method forward (line 722) | def forward(
    method forward_with_given_boxes (line 753) | def forward_with_given_boxes(
    method _forward_box (line 780) | def _forward_box(self, features: Dict[str, torch.Tensor], proposals: L...
    method _forward_mask (line 818) | def _forward_mask(self, features: Dict[str, torch.Tensor], instances: ...
    method _forward_keypoint (line 848) | def _forward_keypoint(self, features: Dict[str, torch.Tensor], instanc...

FILE: VPS_Module/detectron2/modeling/roi_heads/rotated_fast_rcnn.py
  function fast_rcnn_inference_rotated (line 46) | def fast_rcnn_inference_rotated(
  function fast_rcnn_inference_single_image_rotated (line 83) | def fast_rcnn_inference_single_image_rotated(
  class RotatedFastRCNNOutputLayers (line 134) | class RotatedFastRCNNOutputLayers(FastRCNNOutputLayers):
    method from_config (line 140) | def from_config(cls, cfg, input_shape):
    method inference (line 147) | def inference(self, predictions, proposals):
  class RROIHeads (line 168) | class RROIHeads(StandardROIHeads):
    method __init__ (line 175) | def __init__(self, **kwargs):
    method _init_box_head (line 186) | def _init_box_head(cls, cfg, input_shape):
    method label_and_sample_proposals (line 217) | def label_and_sample_proposals(self, proposals, targets):

FILE: VPS_Module/detectron2/modeling/sampling.py
  function subsample_labels (line 9) | def subsample_labels(

FILE: VPS_Module/detectron2/modeling/test_time_augmentation.py
  class DatasetMapperTTA (line 29) | class DatasetMapperTTA:
    method __init__ (line 39) | def __init__(self, min_sizes: List[int], max_size: int, flip: bool):
    method from_config (line 51) | def from_config(cls, cfg):
    method __call__ (line 58) | def __call__(self, dataset_dict):
  class GeneralizedRCNNWithTTA (line 101) | class GeneralizedRCNNWithTTA(nn.Module):
    method __init__ (line 107) | def __init__(self, cfg, model, tta_mapper=None, batch_size=3):
    method _turn_off_roi_heads (line 137) | def _turn_off_roi_heads(self, attrs):
    method _batch_inference (line 162) | def _batch_inference(self, batched_inputs, detected_instances=None):
    method __call__ (line 188) | def __call__(self, batched_inputs):
    method _inference_one_image (line 206) | def _inference_one_image(self, input):
    method _get_augmented_inputs (line 239) | def _get_augmented_inputs(self, input):
    method _get_augmented_boxes (line 244) | def _get_augmented_boxes(self, augmented_inputs, tfms):
    method _merge_detections (line 262) | def _merge_detections(self, all_boxes, all_scores, all_classes, shape_...
    method _rescale_detected_boxes (line 282) | def _rescale_detected_boxes(self, augmented_inputs, merged_instances, ...
    method _reduce_pred_masks (line 298) | def _reduce_pred_masks(self, outputs, tfms):

FILE: VPS_Module/detectron2/projects/__init__.py
  class _D2ProjectsFinder (line 16) | class _D2ProjectsFinder(importlib.abc.MetaPathFinder):
    method find_spec (line 17) | def find_spec(self, name, path, target=None):

FILE: VPS_Module/detectron2/solver/build.py
  class GradientClipType (line 19) | class GradientClipType(Enum):
  function _create_gradient_clipper (line 24) | def _create_gradient_clipper(cfg: CfgNode) -> _GradientClipper:
  function _generate_optimizer_class_with_gradient_clipping (line 44) | def _generate_optimizer_class_with_gradient_clipping(
  function maybe_add_gradient_clipping (line 78) | def maybe_add_gradient_clipping(
  function build_optimizer (line 114) | def build_optimizer(cfg: CfgNode, model: torch.nn.Module) -> torch.optim...
  function get_default_optimizer_params (line 134) | def get_default_optimizer_params(
  function _expand_param_groups (line 221) | def _expand_param_groups(params: List[Dict[str, Any]]) -> List[Dict[str,...
  function reduce_param_groups (line 233) | def reduce_param_groups(params: List[Dict[str, Any]]) -> List[Dict[str, ...
  function build_lr_scheduler (line 253) | def build_lr_scheduler(

FILE: VPS_Module/detectron2/solver/lr_scheduler.py
  class WarmupParamScheduler (line 17) | class WarmupParamScheduler(CompositeParamScheduler):
    method __init__ (line 22) | def __init__(
  class LRMultiplier (line 52) | class LRMultiplier(torch.optim.lr_scheduler._LRScheduler):
    method __init__ (line 86) | def __init__(
    method state_dict (line 110) | def state_dict(self):
    method get_lr (line 114) | def get_lr(self) -> List[float]:
  class WarmupMultiStepLR (line 132) | class WarmupMultiStepLR(torch.optim.lr_scheduler._LRScheduler):
    method __init__ (line 133) | def __init__(
    method get_lr (line 157) | def get_lr(self) -> List[float]:
    method _compute_values (line 166) | def _compute_values(self) -> List[float]:
  class WarmupCosineLR (line 171) | class WarmupCosineLR(torch.optim.lr_scheduler._LRScheduler):
    method __init__ (line 172) | def __init__(
    method get_lr (line 190) | def get_lr(self) -> List[float]:
    method _compute_values (line 207) | def _compute_values(self) -> List[float]:
  function _get_warmup_factor_at_iter (line 212) | def _get_warmup_factor_at_iter(

FILE: VPS_Module/detectron2/structures/boxes.py
  class BoxMode (line 13) | class BoxMode(IntEnum):
    method convert (line 44) | def convert(box: _RawBoxType, from_mode: "BoxMode", to_mode: "BoxMode"...
  class Boxes (line 130) | class Boxes:
    method __init__ (line 142) | def __init__(self, tensor: torch.Tensor):
    method clone (line 157) | def clone(self) -> "Boxes":
    method to (line 166) | def to(self, device: torch.device):
    method area (line 170) | def area(self) -> torch.Tensor:
    method clip (line 181) | def clip(self, box_size: Tuple[int, int]) -> None:
    method nonempty (line 197) | def nonempty(self, threshold: float = 0.0) -> torch.Tensor:
    method __getitem__ (line 213) | def __getitem__(self, item) -> "Boxes":
    method __len__ (line 237) | def __len__(self) -> int:
    method __repr__ (line 240) | def __repr__(self) -> str:
    method inside_box (line 243) | def inside_box(self, box_size: Tuple[int, int], boundary_threshold: in...
    method get_centers (line 262) | def get_centers(self) -> torch.Tensor:
    method scale (line 269) | def scale(self, scale_x: float, scale_y: float) -> None:
    method cat (line 277) | def cat(cls, boxes_list: List["Boxes"]) -> "Boxes":
    method device (line 297) | def device(self) -> device:
    method __iter__ (line 303) | def __iter__(self):
  function pairwise_intersection (line 310) | def pairwise_intersection(boxes1: Boxes, boxes2: Boxes) -> torch.Tensor:
  function pairwise_iou (line 334) | def pairwise_iou(boxes1: Boxes, boxes2: Boxes) -> torch.Tensor:
  function pairwise_ioa (line 359) | def pairwise_ioa(boxes1: Boxes, boxes2: Boxes) -> torch.Tensor:
  function pairwise_point_box_distance (line 379) | def pairwise_point_box_distance(points: torch.Tensor, boxes: Boxes):
  function matched_pairwise_iou (line 398) | def matched_pairwise_iou(boxes1: Boxes, boxes2: Boxes) -> torch.Tensor:

FILE: VPS_Module/detectron2/structures/image_list.py
  class ImageList (line 11) | class ImageList(object):
    method __init__ (line 23) | def __init__(self, tensor: torch.Tensor, image_sizes: List[Tuple[int, ...
    method __len__ (line 33) | def __len__(self) -> int:
    method __getitem__ (line 36) | def __getitem__(self, idx) -> torch.Tensor:
    method to (line 50) | def to(self, *args: Any, **kwargs: Any) -> "ImageList":
    method device (line 55) | def device(self) -> device:
    method from_tensors (line 59) | def from_tensors(

FILE: VPS_Module/detectron2/structures/instances.py
  class Instances (line 7) | class Instances:
    method __init__ (line 38) | def __init__(self, image_size: Tuple[int, int], **kwargs: Any):
    method image_size (line 50) | def image_size(self) -> Tuple[int, int]:
    method __setattr__ (line 57) | def __setattr__(self, name: str, val: Any) -> None:
    method __getattr__ (line 63) | def __getattr__(self, name: str) -> Any:
    method set (line 68) | def set(self, name: str, value: Any) -> None:
    method has (line 81) | def has(self, name: str) -> bool:
    method remove (line 88) | def remove(self, name: str) -> None:
    method get (line 94) | def get(self, name: str) -> Any:
    method get_fields (line 100) | def get_fields(self) -> Dict[str, Any]:
    method to (line 110) | def to(self, *args: Any, **kwargs: Any) -> "Instances":
    method __getitem__ (line 122) | def __getitem__(self, item: Union[int, slice, torch.BoolTensor]) -> "I...
    method __len__ (line 142) | def __len__(self) -> int:
    method __iter__ (line 148) | def __iter__(self):
    method cat (line 152) | def cat(instance_lists: List["Instances"]) -> "Instances":
    method __str__ (line 184) | def __str__(self) -> str:

FILE: VPS_Module/detectron2/structures/keypoints.py
  class Keypoints (line 8) | class Keypoints:
    method __init__ (line 21) | def __init__(self, keypoints: Union[torch.Tensor, np.ndarray, List[Lis...
    method __len__ (line 33) | def __len__(self) -> int:
    method to (line 36) | def to(self, *args: Any, **kwargs: Any) -> "Keypoints":
    method device (line 40) | def device(self) -> torch.device:
    method to_heatmap (line 43) | def to_heatmap(self, boxes: torch.Tensor, heatmap_size: int) -> torch....
    method __getitem__ (line 60) | def __getitem__(self, item: Union[int, slice, torch.BoolTensor]) -> "K...
    method __repr__ (line 78) | def __repr__(self) -> str:
    method cat (line 84) | def cat(keypoints_list: List["Keypoints"]) -> "Keypoints":
  function _keypoints_to_heatmap (line 105) | def _keypoints_to_heatmap(
  function heatmaps_to_keypoints (line 165) | def heatmaps_to_keypoints(maps: torch.Tensor, rois: torch.Tensor) -> tor...

FILE: VPS_Module/detectron2/structures/masks.py
  function polygon_area (line 16) | def polygon_area(x, y):
  function polygons_to_bitmask (line 22) | def polygons_to_bitmask(polygons: List[np.ndarray], height: int, width: ...
  function rasterize_polygons_within_box (line 39) | def rasterize_polygons_within_box(
  class BitMasks (line 88) | class BitMasks:
    method __init__ (line 97) | def __init__(self, tensor: Union[torch.Tensor, np.ndarray]):
    method to (line 109) | def to(self, *args: Any, **kwargs: Any) -> "BitMasks":
    method device (line 113) | def device(self) -> torch.device:
    method __getitem__ (line 117) | def __getitem__(self, item: Union[int, slice, torch.BoolTensor]) -> "B...
    method __iter__ (line 141) | def __iter__(self) -> torch.Tensor:
    method __repr__ (line 145) | def __repr__(self) -> str:
    method __len__ (line 150) | def __len__(self) -> int:
    method nonempty (line 153) | def nonempty(self) -> torch.Tensor:
    method from_polygon_masks (line 164) | def from_polygon_masks(
    method from_roi_masks (line 181) | def from_roi_masks(roi_masks: "ROIMasks", height: int, width: int) -> ...
    method crop_and_resize (line 189) | def crop_and_resize(self, boxes: torch.Tensor, mask_size: int) -> torc...
    method get_bounding_boxes (line 222) | def get_bounding_boxes(self) -> Boxes:
    method cat (line 241) | def cat(bitmasks_list: List["BitMasks"]) -> "BitMasks":
  class PolygonMasks (line 259) | class PolygonMasks:
    method __init__ (line 267) | def __init__(self, polygons: List[List[Union[torch.Tensor, np.ndarray]...
    method to (line 311) | def to(self, *args: Any, **kwargs: Any) -> "PolygonMasks":
    method device (line 315) | def device(self) -> torch.device:
    method get_bounding_boxes (line 318) | def get_bounding_boxes(self) -> Boxes:
    method nonempty (line 335) | def nonempty(self) -> torch.Tensor:
    method __getitem__ (line 346) | def __getitem__(self, item: Union[int, slice, List[int], torch.BoolTen...
    method __iter__ (line 376) | def __iter__(self) -> Iterator[List[np.ndarray]]:
    method __repr__ (line 384) | def __repr__(self) -> str:
    method __len__ (line 389) | def __len__(self) -> int:
    method crop_and_resize (line 392) | def crop_and_resize(self, boxes: torch.Tensor, mask_size: int) -> torc...
    method area (line 424) | def area(self):
    method cat (line 444) | def cat(polymasks_list: List["PolygonMasks"]) -> "PolygonMasks":
  class ROIMasks (line 464) | class ROIMasks:
    method __init__ (line 471) | def __init__(self, tensor: torch.Tensor):
    method to (line 480) | def to(self, device: torch.device) -> "ROIMasks":
    method device (line 484) | def device(self) -> device:
    method __len__ (line 487) | def __len__(self):
    method __getitem__ (line 490) | def __getitem__(self, item) -> "ROIMasks":
    method __repr__ (line 512) | def __repr__(self) -> str:
    method to_bitmasks (line 518) | def to_bitmasks(self, boxes: torch.Tensor, height, width, threshold=0.5):

FILE: VPS_Module/detectron2/structures/rotated_boxes.py
  class RotatedBoxes (line 11) | class RotatedBoxes(Boxes):
    method __init__ (line 20) | def __init__(self, tensor: torch.Tensor):
    method clone (line 223) | def clone(self) -> "RotatedBoxes":
    method to (line 232) | def to(self, device: torch.device):
    method area (line 236) | def area(self) -> torch.Tensor:
    method normalize_angles (line 247) | def normalize_angles(self) -> None:
    method clip (line 253) | def clip(self, box_size: Tuple[int, int], clip_angle_threshold: float ...
    method nonempty (line 303) | def nonempty(self, threshold: float = 0.0) -> torch.Tensor:
    method __getitem__ (line 318) | def __getitem__(self, item) -> "RotatedBoxes":
    method __len__ (line 341) | def __len__(self) -> int:
    method __repr__ (line 344) | def __repr__(self) -> str:
    method inside_box (line 347) | def inside_box(self, box_size: Tuple[int, int], boundary_threshold: in...
    method get_centers (line 384) | def get_centers(self) -> torch.Tensor:
    method scale (line 391) | def scale(self, scale_x: float, scale_y: float) -> None:
    method cat (line 457) | def cat(cls, boxes_list: List["RotatedBoxes"]) -> "RotatedBoxes":
    method device (line 477) | def device(self) -> torch.device:
    method __iter__ (line 481) | def __iter__(self):
  function pairwise_iou (line 488) | def pairwise_iou(boxes1: RotatedBoxes, boxes2: RotatedBoxes) -> None:

FILE: VPS_Module/detectron2/utils/analysis.py
  class FlopCountAnalysis (line 55) | class FlopCountAnalysis(fvcore.nn.FlopCountAnalysis):
    method __init__ (line 60) | def __init__(self, model, inputs):
  function flop_count_operators (line 71) | def flop_count_operators(model: nn.Module, inputs: list) -> typing.Defau...
  function activation_count_operators (line 103) | def activation_count_operators(
  function _wrapper_count_operators (line 128) | def _wrapper_count_operators(
  function find_unused_parameters (line 158) | def find_unused_parameters(model: nn.Module, inputs: Any) -> List[str]:

FILE: VPS_Module/detectron2/utils/collect_env.py
  function collect_torch_env (line 17) | def collect_torch_env():
  function get_env_module (line 29) | def get_env_module():
  function detect_compute_compatibility (line 34) | def detect_compute_compatibility(CUDA_HOME, so_file):
  function collect_env_info (line 55) | def collect_env_info():
  function test_nccl_ops (line 203) | def test_nccl_ops():
  function _test_nccl_worker (line 214) | def _test_nccl_worker(rank, num_gpu, dist_url):

FILE: VPS_Module/detectron2/utils/colormap.py
  function colormap (line 95) | def colormap(rgb=False, maximum=255):
  function random_color (line 111) | def random_color(rgb=False, maximum=255):

FILE: VPS_Module/detectron2/utils/comm.py
  function get_world_size (line 19) | def get_world_size() -> int:
  function get_rank (line 27) | def get_rank() -> int:
  function get_local_rank (line 35) | def get_local_rank() -> int:
  function get_local_size (line 50) | def get_local_size() -> int:
  function is_main_process (line 63) | def is_main_process() -> bool:
  function synchronize (line 67) | def synchronize():
  function _get_global_gloo_group (line 88) | def _get_global_gloo_group():
  function all_gather (line 99) | def all_gather(data, group=None):
  function gather (line 124) | def gather(data, dst=0, group=None):
  function shared_random_seed (line 156) | def shared_random_seed():
  function reduce_dict (line 170) | def reduce_dict(input_dict, average=True):

FILE: VPS_Module/detectron2/utils/env.py
  function seed_all_rng (line 27) | def seed_all_rng(seed=None):
  function _import_file (line 49) | def _import_file(module_name, file_path, make_importable=False):
  function _configure_libraries (line 58) | def _configure_libraries():
  function setup_environment (line 97) | def setup_environment():
  function setup_custom_environment (line 119) | def setup_custom_environment(custom_module):
  function fixup_module_metadata (line 135) | def fixup_module_metadata(module_name, namespace, keys=None):

FILE: VPS_Module/detectron2/utils/events.py
  function get_event_storage (line 26) | def get_event_storage():
  class EventWriter (line 38) | class EventWriter:
    method write (line 43) | def write(self):
    method close (line 46) | def close(self):
  class JSONWriter (line 50) | class JSONWriter(EventWriter):
    method __init__ (line 94) | def __init__(self, json_file, window_size=20):
    method write (line 105) | def write(self):
    method close (line 127) | def close(self):
  class TensorboardXWriter (line 131) | class TensorboardXWriter(EventWriter):
    method __init__ (line 136) | def __init__(self, log_dir: str, window_size: int = 20, **kwargs):
    method write (line 150) | def write(self):
    method close (line 176) | def close(self):
  class CommonMetricPrinter (line 181) | class CommonMetricPrinter(EventWriter):
    method __init__ (line 191) | def __init__(self, max_iter: Optional[int] = None, window_size: int = ...
    method _get_eta (line 203) | def _get_eta(self, storage) -> Optional[str]:
    method write (line 223) | def write(self):
  class EventStorage (line 274) | class EventStorage:
    method __init__ (line 281) | def __init__(self, start_iter=0):
    method put_image (line 294) | def put_image(self, img_name, img_tensor):
    method put_scalar (line 309) | def put_scalar(self, name, value, smoothing_hint=True):
    method put_scalars (line 336) | def put_scalars(self, *, smoothing_hint=True, **kwargs):
    method put_histogram (line 347) | def put_histogram(self, hist_name, hist_tensor, bins=1000):
    method history (line 377) | def history(self, name):
    method histories (line 387) | def histories(self):
    method latest (line 394) | def latest(self):
    method latest_with_smoothing_hint (line 402) | def latest_with_smoothing_hint(self, window_size=20):
    method smoothing_hints (line 419) | def smoothing_hints(self):
    method step (line 427) | def step(self):
    method iter (line 437) | def iter(self):
    method iter (line 446) | def iter(self, val):
    method iteration (line 450) | def iteration(self):
    method __enter__ (line 454) | def __enter__(self):
    method __exit__ (line 458) | def __exit__(self, exc_type, exc_val, exc_tb):
    method name_scope (line 463) | def name_scope(self, name):
    method clear_images (line 474) | def clear_images(self):
    method clear_histograms (line 481) | def clear_histograms(self):

FILE: VPS_Module/detectron2/utils/file_io.py
  class Detectron2Handler (line 16) | class Detectron2Handler(PathHandler):
    method _get_supported_prefixes (line 24) | def _get_supported_prefixes(self):
    method _get_local_path (line 27) | def _get_local_path(self, path, **kwargs):
    method _open (line 31) | def _open(self, path, mode="r", **kwargs):

FILE: VPS_Module/detectron2/utils/logger.py
  class _ColorfulFormatter (line 18) | class _ColorfulFormatter(logging.Formatter):
    method __init__ (line 19) | def __init__(self, *args, **kwargs):
    method formatMessage (line 26) | def formatMessage(self, record):
  function setup_logger (line 39) | def setup_logger(
  function _cached_log_stream (line 105) | def _cached_log_stream(filename):
  function _find_caller (line 119) | def _find_caller():
  function log_first_n (line 140) | def log_first_n(lvl, msg, n=1, *, name=None, key="caller"):
  function log_every_n (line 175) | def log_every_n(lvl, msg, n=1, *, name=None):
  function log_every_n_seconds (line 191) | def log_every_n_seconds(lvl, msg, n=1, *, name=None):
  function create_small_table (line 209) | def create_small_table(small_dict):
  function _log_api_usage (line 232) | def _log_api_usage(identifier: str):

FILE: VPS_Module/detectron2/utils/memory.py
  function _ignore_torch_cuda_oom (line 12) | def _ignore_torch_cuda_oom():
  function retry_if_cuda_oom (line 26) | def retry_if_cuda_oom(func):

FILE: VPS_Module/detectron2/utils/registry.py
  function _convert_target_to_string (line 15) | def _convert_target_to_string(t: Any) -> str:
  function locate (line 40) | def locate(name: str) -> Any:

FILE: VPS_Module/detectron2/utils/serialize.py
  class PicklableWrapper (line 5) | class PicklableWrapper(object):
    method __init__ (line 15) | def __init__(self, obj):
    method __reduce__ (line 21) | def __reduce__(self):
    method __call__ (line 25) | def __call__(self, *args, **kwargs):
    method __getattr__ (line 28) | def __getattr__(self, attr):

FILE: VPS_Module/detectron2/utils/testing.py
  function get_model_no_weights (line 19) | def get_model_no_weights(config_path):
  function random_boxes (line 29) | def random_boxes(num_boxes, max_coord=100, device="cpu"):
  function get_sample_coco_image (line 43) | def get_sample_coco_image(tensor=True):
  function convert_scripted_instances (line 67) | def convert_scripted_instances(instances):
  function assert_instances_allclose (line 82) | def assert_instances_allclose(input, other, *, rtol=1e-5, msg="", size_a...
  function reload_script_model (line 129) | def reload_script_model(module):

FILE: VPS_Module/detectron2/utils/video_visualizer.py
  class _DetectedInstance (line 15) | class _DetectedInstance:
    method __init__ (line 31) | def __init__(self, label, bbox, mask_rle, color, ttl):
  class VideoVisualizer (line 39) | class VideoVisualizer:
    method __init__ (line 40) | def __init__(self, metadata, instance_mode=ColorMode.IMAGE):
    method draw_instance_predictions (line 53) | def draw_instance_predictions(self, frame, predictions):
    method draw_sem_seg (line 129) | def draw_sem_seg(self, frame, sem_seg, area_threshold=None):
    method draw_panoptic_seg_predictions (line 141) | def draw_panoptic_seg_predictions(
    method _assign_colors (line 197) | def _assign_colors(self, instances):

FILE: VPS_Module/detectron2/utils/visualizer.py
  class ColorMode (line 37) | class ColorMode(Enum):
  class GenericMask (line 59) | class GenericMask:
    method __init__ (line 67) | def __init__(self, mask_or_polygons, height, width):
    method mask (line 99) | def mask(self):
    method polygons (line 105) | def polygons(self):
    method has_holes (line 111) | def has_holes(self):
    method mask_to_polygons (line 119) | def mask_to_polygons(self, mask):
    method polygons_to_mask (line 138) | def polygons_to_mask(self, polygons):
    method area (line 143) | def area(self):
    method bbox (line 146) | def bbox(self):
  class _PanopticPrediction (line 155) | class _PanopticPrediction:
    method __init__ (line 160) | def __init__(self, panoptic_seg, segments_info, metadata=None):
    method non_empty_mask (line 196) | def non_empty_mask(self):
    method semantic_masks (line 212) | def semantic_masks(self):
    method instance_masks (line 220) | def instance_masks(self):
  function _create_text_labels (line 230) | def _create_text_labels(classes, scores, class_names, is_crowd=None):
  class VisImage (line 257) | class VisImage:
    method __init__ (line 258) | def __init__(self, img, scale=1.0):
    method _setup_figure (line 269) | def _setup_figure(self, img):
    method reset_image (line 294) | def reset_image(self, img):
    method save (line 302) | def save(self, filepath):
    method get_image (line 310) | def get_image(self):
  class Visualizer (line 331) | class Visualizer:
    method __init__ (line 357) | def __init__(self, img_rgb, metadata=None, scale=1.0, instance_mode=Co...
    method draw_instance_predictions (line 383) | def draw_instance_predictions(self, predictions):
    method draw_sem_seg (line 436) | def draw_sem_seg(self, sem_seg, area_threshold=None, alpha=0.8):
    method draw_panoptic_seg (line 472) | def draw_panoptic_seg(self, panoptic_seg, segments_info, area_threshol...
    method draw_dataset_dict (line 538) | def draw_dataset_dict(self, dic):
    method overlay_instances (line 607) | def overlay_instances(
    method overlay_rotated_instances (line 749) | def overlay_rotated_instances(self, boxes=None, labels=None, assigned_...
    method draw_and_connect_keypoints (line 787) | def draw_and_connect_keypoints(self, keypoints):
    method draw_text (line 849) | def draw_text(
    method draw_box (line 896) | def draw_box(self, box_coord, alpha=0.5, edge_color="g", line_style="-"):
    method draw_rotated_box_with_label (line 930) | def draw_rotated_box_with_label(
    method draw_circle (line 985) | def draw_circle(self, circle_coord, color, radius=3):
    method draw_line (line 1003) | def draw_line(self, x_data, y_data, color, linestyle="-", linewidth=No...
    method draw_binary_mask (line 1034) | def draw_binary_mask(
    method draw_soft_mask (line 1085) | def draw_soft_mask(self, soft_mask, color=None, *, text=None, alpha=0.5):
    method draw_polygon (line 1113) | def draw_polygon(self, segment, color, edge_color=None, alpha=0.5):
    method _jitter (line 1149) | def _jitter(self, color):
    method _create_grayscale_image (line 1168) | def _create_grayscale_image(self, mask=None):
    method _change_color_brightness (line 1179) | def _change_color_brightness(self, color, brightness_factor):
    method _convert_boxes (line 1204) | def _convert_boxes(self, boxes):
    method _convert_masks (line 1213) | def _convert_masks(self, masks_or_polygons):
    method _draw_text_in_mask (line 1236) | def _draw_text_in_mask(self, binary_mask, text, color):
    method _convert_keypoints (line 1254) | def _convert_keypoints(self, keypoints):
    method get_output (line 1260) | def get_output(self):

FILE: VPS_Module/dev/packaging/gen_install_table.py
  function gen_header (line 23) | def gen_header(torch_versions):

FILE: VPS_Module/docs/conf.py
  class GithubURLDomain (line 30) | class GithubURLDomain(Domain):
    method resolve_any_xref (line 39) | def resolve_any_xref(self, env, fromdocname, builder, target, node, co...
  function autodoc_skip_member (line 275) | def autodoc_skip_member(app, what, name, obj, skip, options):
  function paper_ref_role (line 340) | def paper_ref_role(
  function setup (line 371) | def setup(app):

FILE: VPS_Module/projects/DeepLab/deeplab/build_solver.py
  function build_lr_scheduler (line 10) | def build_lr_scheduler(

FILE: VPS_Module/projects/DeepLab/deeplab/config.py
  function add_deeplab_config (line 5) | def add_deeplab_config(cfg):

FILE: VPS_Module/projects/DeepLab/deeplab/loss.py
  class DeepLabCE (line 6) | class DeepLabCE(nn.Module):
    method __init__ (line 20) | def __init__(self, ignore_label=-1, top_k_percent_pixels=1.0, weight=N...
    method forward (line 28) | def forward(self, logits, labels, weights=None):

FILE: VPS_Module/projects/DeepLab/deeplab/lr_scheduler.py
  class WarmupPolyLR (line 17) | class WarmupPolyLR(torch.optim.lr_scheduler._LRScheduler):
    method __init__ (line 25) | def __init__(
    method get_lr (line 44) | def get_lr(self) -> List[float]:
    method _compute_values (line 60) | def _compute_values(self) -> List[float]:

FILE: VPS_Module/projects/DeepLab/deeplab/resnet.py
  class DeepLabStem (line 15) | class DeepLabStem(CNNBlockBase):
    method __init__ (line 20) | def __init__(self, in_channels=3, out_channels=128, norm="BN"):
    method forward (line 59) | def forward(self, x):
  function build_resnet_deeplab_backbone (line 71) | def build_resnet_deeplab_backbone(cfg, input_shape):

FILE: VPS_Module/projects/DeepLab/deeplab/semantic_seg.py
  class DeepLabV3PlusHead (line 16) | class DeepLabV3PlusHead(nn.Module):
    method __init__ (line 22) | def __init__(
    method from_config (line 191) | def from_config(cls, cfg, input_shape):
    method forward (line 219) | def forward(self, features, targets=None):
    method layers (line 237) | def layers(self, features):
    method losses (line 254) | def losses(self, predictions, targets):
  class DeepLabV3Head (line 264) | class DeepLabV3Head(nn.Module):
    method __init__ (line 269) | def __init__(self, cfg, input_shape: Dict[str, ShapeSpec]):
    method forward (line 325) | def forward(self, features, targets=None):
    method losses (line 342) | def losses(self, predictions, targets):

FILE: VPS_Module/projects/DeepLab/train_net.py
  function build_sem_seg_train_aug (line 23) | def build_sem_seg_train_aug(cfg):
  class Trainer (line 42) | class Trainer(DefaultTrainer):
    method build_evaluator (line 51) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method build_train_loader (line 84) | def build_train_loader(cls, cfg):
    method build_lr_scheduler (line 92) | def build_lr_scheduler(cls, cfg, optimizer):
  function setup (line 100) | def setup(args):
  function main (line 113) | def main(args):

FILE: VPS_Module/projects/DensePose/apply_net.py
  class Action (line 55) | class Action(object):
    method add_arguments (line 57) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
  function register_action (line 66) | def register_action(cls: type):
  class InferenceAction (line 75) | class InferenceAction(Action):
    method add_arguments (line 77) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method execute (line 90) | def execute(cls: type, args: argparse.Namespace):
    method setup_config (line 110) | def setup_config(
    method _get_input_file_list (line 124) | def _get_input_file_list(cls: type, input_spec: str):
  class DumpAction (line 139) | class DumpAction(InferenceAction):
    method add_parser (line 147) | def add_parser(cls: type, subparsers: argparse._SubParsersAction):
    method add_arguments (line 153) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method execute_on_outputs (line 163) | def execute_on_outputs(
    method create_context (line 182) | def create_context(cls: type, args: argparse.Namespace, cfg: CfgNode):
    method postexecute (line 187) | def postexecute(cls: type, context: Dict[str, Any]):
  class ShowAction (line 198) | class ShowAction(InferenceAction):
    method add_parser (line 216) | def add_parser(cls: type, subparsers: argparse._SubParsersAction):
    method add_arguments (line 222) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method setup_config (line 260) | def setup_config(
    method execute_on_outputs (line 272) | def execute_on_outputs(
    method postexecute (line 296) | def postexecute(cls: type, context: Dict[str, Any]):
    method _get_out_fname (line 300) | def _get_out_fname(cls: type, entry_idx: int, fname_base: str):
    method create_context (line 305) | def create_context(cls: type, args: argparse.Namespace, cfg: CfgNode) ...
  function create_argument_parser (line 331) | def create_argument_parser() -> argparse.ArgumentParser:
  function main (line 343) | def main():

FILE: VPS_Module/projects/DensePose/densepose/config.py
  function add_dataset_category_config (line 8) | def add_dataset_category_config(cfg: CN):
  function add_evaluation_config (line 21) | def add_evaluation_config(cfg: CN):
  function add_bootstrap_config (line 50) | def add_bootstrap_config(cfg: CN):
  function get_bootstrap_dataset_config (line 59) | def get_bootstrap_dataset_config() -> CN:
  function load_bootstrap_config (line 88) | def load_bootstrap_config(cfg: CN):
  function add_densepose_head_cse_config (line 105) | def add_densepose_head_cse_config(cfg: CN):
  function add_densepose_head_config (line 158) | def add_densepose_head_config(cfg: CN):
  function add_hrnet_config (line 237) | def add_hrnet_config(cfg: CN):
  function add_densepose_config (line 272) | def add_densepose_config(cfg: CN):

FILE: VPS_Module/projects/DensePose/densepose/converters/base.py
  class BaseConverter (line 7) | class BaseConverter:
    method register (line 16) | def register(cls, from_type: Type, converter: Any = None):
    method _do_register (line 38) | def _do_register(cls, from_type: Type, converter: Any):
    method _lookup_converter (line 42) | def _lookup_converter(cls, from_type: Type) -> Any:
    method convert (line 64) | def convert(cls, instance: Any, *args, **kwargs):
  function make_int_box (line 90) | def make_int_box(box: torch.Tensor) -> IntTupleBox:

FILE: VPS_Module/projects/DensePose/densepose/converters/chart_output_hflip.py
  function densepose_chart_predictor_output_hflip (line 8) | def densepose_chart_predictor_output_hflip(
  function _flip_iuv_semantics_tensor (line 41) | def _flip_iuv_semantics_tensor(
  function _flip_segm_semantics_tensor (line 64) | def _flip_segm_semantics_tensor(

FILE: VPS_Module/projects/DensePose/densepose/converters/chart_output_to_chart_result.py
  function resample_uv_tensors_to_bbox (line 18) | def resample_uv_tensors_to_bbox(
  function resample_uv_to_bbox (line 48) | def resample_uv_to_bbox(
  function densepose_chart_predictor_output_to_result (line 73) | def densepose_chart_predictor_output_to_result(
  function resample_confidences_to_bbox (line 101) | def resample_confidences_to_bbox(
  function densepose_chart_predictor_output_to_result_with_confidences (line 159) | def densepose_chart_predictor_output_to_result_with_confidences(

FILE: VPS_Module/projects/DensePose/densepose/converters/hflip.py
  class HFlipConverter (line 8) | class HFlipConverter(BaseConverter):
    method convert (line 18) | def convert(cls, predictor_outputs: Any, transform_data: Any, *args, *...

FILE: VPS_Module/projects/DensePose/densepose/converters/segm_to_mask.py
  function resample_coarse_segm_tensor_to_bbox (line 13) | def resample_coarse_segm_tensor_to_bbox(coarse_segm: torch.Tensor, box_x...
  function resample_fine_and_coarse_segm_tensors_to_bbox (line 32) | def resample_fine_and_coarse_segm_tensors_to_bbox(
  function resample_fine_and_coarse_segm_to_bbox (line 62) | def resample_fine_and_coarse_segm_to_bbox(predictor_output: Any, box_xyw...
  function predictor_output_with_coarse_segm_to_mask (line 82) | def predictor_output_with_coarse_segm_to_mask(
  function predictor_output_with_fine_and_coarse_segm_to_mask (line 115) | def predictor_output_with_fine_and_coarse_segm_to_mask(

FILE: VPS_Module/projects/DensePose/densepose/converters/to_chart_result.py
  class ToChartResultConverter (line 11) | class ToChartResultConverter(BaseConverter):
    method convert (line 21) | def convert(cls, predictor_outputs: Any, boxes: Boxes, *args, **kwargs...
  class ToChartResultConverterWithConfidences (line 38) | class ToChartResultConverterWithConfidences(BaseConverter):
    method convert (line 48) | def convert(

FILE: VPS_Module/projects/DensePose/densepose/converters/to_mask.py
  class ToMaskConverter (line 12) | class ToMaskConverter(BaseConverter):
    method convert (line 23) | def convert(

FILE: VPS_Module/projects/DensePose/densepose/engine/trainer.py
  class SampleCountingLoader (line 37) | class SampleCountingLoader:
    method __init__ (line 38) | def __init__(self, loader):
    method __iter__ (line 41) | def __iter__(self):
  class SampleCountMetricPrinter (line 61) | class SampleCountMetricPrinter(EventWriter):
    method __init__ (line 62) | def __init__(self):
    method write (line 65) | def write(self):
  class Trainer (line 74) | class Trainer(DefaultTrainer):
    method extract_embedder_from_model (line 76) | def extract_embedder_from_model(cls, model: nn.Module) -> Optional[Emb...
    method test (line 87) | def test(
    method build_evaluator (line 149) | def build_evaluator(
    method build_optimizer (line 191) | def build_optimizer(cls, cfg: CfgNode, model: nn.Module):
    method build_test_loader (line 217) | def build_test_loader(cls, cfg: CfgNode, dataset_name):
    method build_train_loader (line 221) | def build_train_loader(cls, cfg: CfgNode):
    method build_writers (line 235) | def build_writers(self):
    method test_with_TTA (line 241) | def test_with_TTA(cls, cfg: CfgNode, model):

FILE: VPS_Module/projects/DensePose/densepose/evaluation/d2_evaluator_adapter.py
  function _maybe_add_iscrowd_annotations (line 12) | def _maybe_add_iscrowd_annotations(cocoapi):
  class Detectron2COCOEvaluatorAdapter (line 18) | class Detectron2COCOEvaluatorAdapter(COCOEvaluator):
    method __init__ (line 19) | def __init__(
    method _maybe_substitute_metadata (line 33) | def _maybe_substitute_metadata(self):

FILE: VPS_Module/projects/DensePose/densepose/evaluation/densepose_coco_evaluation.py
  class DensePoseEvalMode (line 40) | class DensePoseEvalMode(str, Enum):
  class DensePoseDataMode (line 49) | class DensePoseDataMode(str, Enum):
  class DensePoseCocoEval (line 62) | class DensePoseCocoEval(object):
    method __init__ (line 112) | def __init__(
    method _loadGEval (line 148) | def _loadGEval(self):
    method _prepare (line 182) | def _prepare(self):
    method evaluate (line 300) | def evaluate(self):
    method getDensePoseMask (line 351) | def getDensePoseMask(self, polys):
    method _generate_rlemask_on_image (line 360) | def _generate_rlemask_on_image(self, mask, imgId, data):
    method computeDPIoU (line 377) | def computeDPIoU(self, imgId, catId):
    method computeIoU (line 436) | def computeIoU(self, imgId, catId):
    method computeOks (line 465) | def computeOks(self, imgId, catId):
    method _extract_mask (line 536) | def _extract_mask(self, dt: Dict[str, Any]) -> np.ndarray:
    method _extract_iuv (line 575) | def _extract_iuv(
    method computeOgps_single_pair (line 611) | def computeOgps_single_pair(self, dt, gt, py, px, pt_mask):
    method extract_iuv_from_quantized (line 646) | def extract_iuv_from_quantized(self, dt, gt, py, px, pt_mask):
    method extract_iuv_from_raw (line 654) | def extract_iuv_from_raw(self, dt, gt, py, px, pt_mask):
    method computeOgps_single_pair_iuv (line 668) | def computeOgps_single_pair_iuv(self, dt, gt, ipoints, upoints, vpoints):
    method computeOgps_single_pair_cse (line 681) | def computeOgps_single_pair_cse(
    method computeOgps (line 713) | def computeOgps(self, imgId, catId):
    method evaluateImg (line 773) | def evaluateImg(self, imgId, catId, aRng, maxDet):
    method accumulate (line 918) | def accumulate(self, p=None):
    method summarize (line 1023) | def summarize(self):
    method __str__ (line 1154) | def __str__(self):
    method findAllClosestVertsUV (line 1158) | def findAllClosestVertsUV(self, U_points, V_points, Index_points):
    method findClosestVertsCse (line 1176) | def findClosestVertsCse(self, embedding, py, px, mask, mesh_name):
    method findAllClosestVertsGT (line 1185) | def findAllClosestVertsGT(self, gt):
    method getDistancesCse (line 1206) | def getDistancesCse(self, cVertsGT, cVerts, mesh_name):
    method getDistancesUV (line 1213) | def getDistancesUV(self, cVertsGT, cVerts):
  class Params (line 1244) | class Params:
    method setDetParams (line 1249) | def setDetParams(self):
    method setKpParams (line 1265) | def setKpParams(self):
    method setUvParams (line 1276) | def setUvParams(self):
    method __init__ (line 1286) | def __init__(self, iouType="segm"):

FILE: VPS_Module/projects/DensePose/densepose/evaluation/evaluator.py
  class DensePoseCOCOEvaluator (line 45) | class DensePoseCOCOEvaluator(DatasetEvaluator):
    method __init__ (line 46) | def __init__(
    method reset (line 84) | def reset(self):
    method process (line 87) | def process(self, inputs, outputs):
    method evaluate (line 120) | def evaluate(self, img_ids=None):
    method _eval_predictions (line 134) | def _eval_predictions(self, predictions, multi_storage=None, img_ids=N...
    method _evaluate_mesh_alignment (line 165) | def _evaluate_mesh_alignment(self):
    method _print_mesh_alignment_results (line 180) | def _print_mesh_alignment_results(self, results: Dict[str, float], mes...
  function prediction_to_dict (line 198) | def prediction_to_dict(instances, img_id, embedder, class_to_mesh_name, ...
  function densepose_chart_predictions_to_dict (line 235) | def densepose_chart_predictions_to_dict(instances):
  function densepose_chart_predictions_to_storage_dict (line 261) | def densepose_chart_predictions_to_storage_dict(instances):
  function densepose_cse_predictions_to_dict (line 275) | def densepose_cse_predictions_to_dict(instances, embedder, class_to_mesh...
  function _evaluate_predictions_on_coco (line 288) | def _evaluate_predictions_on_coco(
  function _get_densepose_metrics (line 322) | def _get_densepose_metrics(min_threshold=0.5):
  function _derive_results_from_coco_eval (line 334) | def _derive_results_from_coco_eval(
  function build_densepose_evaluator_storage (line 386) | def build_densepose_evaluator_storage(cfg: CfgNode, output_folder: str):

FILE: VPS_Module/projects/DensePose/densepose/evaluation/mesh_alignment_evaluator.py
  class MeshAlignmentEvaluator (line 14) | class MeshAlignmentEvaluator:
    method __init__ (line 19) | def __init__(self, embedder: nn.Module, mesh_names: Optional[List[str]]):
    method evaluate (line 29) | def evaluate(self):

FILE: VPS_Module/projects/DensePose/densepose/evaluation/tensor_storage.py
  class SizeData (line 17) | class SizeData:
  function _calculate_record_field_size_b (line 22) | def _calculate_record_field_size_b(data_schema: Dict[str, SizeData], fie...
  function _calculate_record_size_b (line 29) | def _calculate_record_size_b(data_schema: Dict[str, SizeData]) -> int:
  function _calculate_record_field_sizes_b (line 37) | def _calculate_record_field_sizes_b(data_schema: Dict[str, SizeData]) ->...
  class SingleProcessTensorStorage (line 44) | class SingleProcessTensorStorage:
    method __init__ (line 49) | def __init__(self, data_schema: Dict[str, SizeData], storage_impl: Bin...
    method get (line 76) | def get(self, record_id: int) -> Dict[str, torch.Tensor]:
    method put (line 106) | def put(self, data: Dict[str, torch.Tensor]) -> int:
  class SingleProcessFileTensorStorage (line 138) | class SingleProcessFileTensorStorage(SingleProcessTensorStorage):
    method __init__ (line 143) | def __init__(self, data_schema: Dict[str, SizeData], fpath: str, mode:...
  class SingleProcessRamTensorStorage (line 156) | class SingleProcessRamTensorStorage(SingleProcessTensorStorage):
    method __init__ (line 161) | def __init__(self, data_schema: Dict[str, SizeData], buf: io.BytesIO):
  class MultiProcessTensorStorage (line 165) | class MultiProcessTensorStorage:
    method __init__ (line 174) | def __init__(self, rank_to_storage: Dict[int, SingleProcessTensorStora...
    method get (line 177) | def get(self, rank: int, record_id: int) -> Dict[str, torch.Tensor]:
    method put (line 181) | def put(self, rank: int, data: Dict[str, torch.Tensor]) -> int:
  class MultiProcessFileTensorStorage (line 186) | class MultiProcessFileTensorStorage(MultiProcessTensorStorage):
    method __init__ (line 187) | def __init__(self, data_schema: Dict[str, SizeData], rank_to_fpath: Di...
  class MultiProcessRamTensorStorage (line 195) | class MultiProcessRamTensorStorage(MultiProcessTensorStorage):
    method __init__ (line 196) | def __init__(self, data_schema: Dict[str, SizeData], rank_to_buffer: D...
  function _ram_storage_gather (line 204) | def _ram_storage_gather(
  function _file_storage_gather (line 218) | def _file_storage_gather(
  function storage_gather (line 231) | def storage_gather(

FILE: VPS_Module/projects/DensePose/densepose/modeling/build.py
  function build_densepose_predictor (line 12) | def build_densepose_predictor(cfg: CfgNode, input_channels: int):
  function build_densepose_data_filter (line 28) | def build_densepose_data_filter(cfg: CfgNode):
  function build_densepose_head (line 44) | def build_densepose_head(cfg: CfgNode, input_channels: int):
  function build_densepose_losses (line 60) | def build_densepose_losses(cfg: CfgNode):
  function build_densepose_embedder (line 75) | def build_densepose_embedder(cfg: CfgNode) -> Optional[nn.Module]:

FILE: VPS_Module/projects/DensePose/densepose/modeling/confidence.py
  class DensePoseUVConfidenceType (line 9) | class DensePoseUVConfidenceType(Enum):
  class DensePoseUVConfidenceConfig (line 28) | class DensePoseUVConfidenceConfig:
  class DensePoseSegmConfidenceConfig (line 40) | class DensePoseSegmConfidenceConfig:
  class DensePoseConfidenceModelConfig (line 51) | class DensePoseConfidenceModelConfig:
    method from_cfg (line 62) | def from_cfg(cfg: CfgNode) -> "DensePoseConfidenceModelConfig":

FILE: VPS_Module/projects/DensePose/densepose/modeling/cse/embedder.py
  class EmbedderType (line 18) | class EmbedderType(Enum):
  function create_embedder (line 29) | def create_embedder(embedder_spec: CfgNode, embedder_dim: int) -> nn.Mod...
  class Embedder (line 67) | class Embedder(nn.Module):
    method __init__ (line 75) | def __init__(self, cfg: CfgNode):
    method load_from_model_checkpoint (line 95) | def load_from_model_checkpoint(self, fpath: str, prefix: Optional[str]...
    method forward (line 118) | def forward(self, mesh_name: str) -> torch.Tensor:
    method has_embeddings (line 131) | def has_embeddings(self, mesh_name: str) -> bool:

FILE: VPS_Module/projects/DensePose/densepose/modeling/cse/utils.py
  function squared_euclidean_distance_matrix (line 7) | def squared_euclidean_distance_matrix(pts1: torch.Tensor, pts2: torch.Te...
  function normalize_embeddings (line 25) | def normalize_embeddings(embeddings: torch.Tensor, epsilon: float = 1e-6...
  function get_closest_vertices_mask_from_ES (line 40) | def get_closest_vertices_mask_from_ES(

FILE: VPS_Module/projects/DensePose/densepose/modeling/cse/vertex_direct_embedder.py
  class VertexDirectEmbedder (line 12) | class VertexDirectEmbedder(nn.Module):
    method __init__ (line 20) | def __init__(self, num_vertices: int, embed_dim: int):
    method reset_parameters (line 33) | def reset_parameters(self):
    method forward (line 39) | def forward(self) -> torch.Tensor:
    method load (line 51) | def load(self, fpath: str):

FILE: VPS_Module/projects/DensePose/densepose/modeling/cse/vertex_feature_embedder.py
  class VertexFeatureEmbedder (line 12) | class VertexFeatureEmbedder(nn.Module):
    method __init__ (line 24) | def __init__(
    method reset_parameters (line 46) | def reset_parameters(self):
    method forward (line 50) | def forward(self) -> torch.Tensor:
    method load (line 62) | def load(self, fpath: str):

FILE: VPS_Module/projects/DensePose/densepose/modeling/densepose_checkpoint.py
  function _rename_HRNet_weights (line 7) | def _rename_HRNet_weights(weights):
  class DensePoseCheckpointer (line 22) | class DensePoseCheckpointer(DetectionCheckpointer):
    method __init__ (line 27) | def __init__(self, model, save_dir="", *, save_to_disk=None, **checkpo...
    method _load_file (line 30) | def _load_file(self, filename: str) -> object:

FILE: VPS_Module/projects/DensePose/densepose/modeling/filter.py
  class DensePoseDataFilter (line 11) | class DensePoseDataFilter(object):
    method __init__ (line 12) | def __init__(self, cfg: CfgNode):
    method __call__ (line 17) | def __call__(self, features: List[torch.Tensor], proposals_with_target...

FILE: VPS_Module/projects/DensePose/densepose/modeling/hrfpn.py
  class HRFPN (line 33) | class HRFPN(Backbone):
    method __init__ (line 48) | def __init__(
    method init_weights (line 129) | def init_weights(self):
    method forward (line 135) | def forward(self, inputs):
  function build_hrfpn_backbone (line 165) | def build_hrfpn_backbone(cfg, input_shape: ShapeSpec):

FILE: VPS_Module/projects/DensePose/densepose/modeling/hrnet.py
  function conv3x3 (line 24) | def conv3x3(in_planes, out_planes, stride=1):
  class BasicBlock (line 29) | class BasicBlock(nn.Module):
    method __init__ (line 32) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 42) | def forward(self, x):
  class Bottleneck (line 61) | class Bottleneck(nn.Module):
    method __init__ (line 64) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 76) | def forward(self, x):
  class HighResolutionModule (line 99) | class HighResolutionModule(nn.Module):
    method __init__ (line 112) | def __init__(
    method _check_branches (line 133) | def _check_branches(self, num_branches, blocks, num_blocks, num_inchan...
    method _make_one_branch (line 153) | def _make_one_branch(self, branch_index, block, num_blocks, num_channe...
    method _make_branches (line 180) | def _make_branches(self, num_branches, block, num_blocks, num_channels):
    method _make_fuse_layers (line 188) | def _make_fuse_layers(self):
    method get_num_inchannels (line 247) | def get_num_inchannels(self):
    method forward (line 250) | def forward(self, x):
  class PoseHigherResolutionNet (line 275) | class PoseHigherResolutionNet(Backbone):
    method __init__ (line 282) | def __init__(self, cfg, **kwargs):
    method _get_deconv_cfg (line 328) | def _get_deconv_cfg(self, deconv_kernel):
    method _make_transition_layer (line 341) | def _make_transition_layer(self, num_channels_pre_layer, num_channels_...
    method _make_layer (line 383) | def _make_layer(self, block, planes, blocks, stride=1):
    method _make_stage (line 405) | def _make_stage(self, layer_config, num_inchannels, multi_scale_output...
    method forward (line 434) | def forward(self, x):
  function build_pose_hrnet_backbone (line 472) | def build_pose_hrnet_backbone(cfg, input_shape: ShapeSpec):

FILE: VPS_Module/projects/DensePose/densepose/modeling/inference.py
  function densepose_inference (line 9) | def densepose_inference(densepose_predictor_output: Any, detections: Lis...

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/chart.py
  class DensePoseChartLoss (line 21) | class DensePoseChartLoss:
    method __init__ (line 47) | def __init__(self, cfg: CfgNode):
    method __call__ (line 64) | def __call__(
    method produce_fake_densepose_losses (line 138) | def produce_fake_densepose_losses(self, densepose_predictor_outputs: A...
    method produce_fake_densepose_losses_uv (line 163) | def produce_fake_densepose_losses_uv(self, densepose_predictor_outputs...
    method produce_fake_densepose_losses_segm (line 186) | def produce_fake_densepose_losses_segm(self, densepose_predictor_outpu...
    method produce_densepose_losses_uv (line 210) | def produce_densepose_losses_uv(
    method produce_densepose_losses_segm (line 242) | def produce_densepose_losses_segm(

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/chart_with_confidences.py
  class DensePoseChartWithConfidenceLoss (line 18) | class DensePoseChartWithConfidenceLoss(DensePoseChartLoss):
    method __init__ (line 21) | def __init__(self, cfg: CfgNode):
    method produce_fake_densepose_losses_uv (line 33) | def produce_fake_densepose_losses_uv(self, densepose_predictor_outputs...
    method produce_densepose_losses_uv (line 71) | def produce_densepose_losses_uv(
  class IIDIsotropicGaussianUVLoss (line 119) | class IIDIsotropicGaussianUVLoss(nn.Module):
    method __init__ (line 132) | def __init__(self, sigma_lower_bound: float):
    method forward (line 137) | def forward(
  class IndepAnisotropicGaussianUVLoss (line 157) | class IndepAnisotropicGaussianUVLoss(nn.Module):
    method __init__ (line 173) | def __init__(self, sigma_lower_bound: float):
    method forward (line 178) | def forward(

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/cse.py
  class DensePoseCseLoss (line 20) | class DensePoseCseLoss:
    method __init__ (line 28) | def __init__(self, cfg: CfgNode):
    method create_embed_loss (line 49) | def create_embed_loss(cls, cfg: CfgNode):
    method __call__ (line 54) | def __call__(
    method produce_fake_losses (line 95) | def produce_fake_losses(

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/cycle_pix2shape.py
  function _create_pixel_dist_matrix (line 18) | def _create_pixel_dist_matrix(grid_size: int) -> torch.Tensor:
  function _sample_fg_pixels_randperm (line 30) | def _sample_fg_pixels_randperm(fg_mask: torch.Tensor, sample_size: int) ...
  function _sample_fg_pixels_multinomial (line 40) | def _sample_fg_pixels_multinomial(fg_mask: torch.Tensor, sample_size: in...
  class PixToShapeCycleLoss (line 48) | class PixToShapeCycleLoss(nn.Module):
    method __init__ (line 53) | def __init__(self, cfg: CfgNode):
    method forward (line 73) | def forward(
    method fake_value (line 151) | def fake_value(self, densepose_predictor_outputs: Any, embedder: nn.Mo...

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/cycle_shape2shape.py
  class ShapeToShapeCycleLoss (line 16) | class ShapeToShapeCycleLoss(nn.Module):
    method __init__ (line 23) | def __init__(self, cfg: CfgNode):
    method _sample_random_pair (line 37) | def _sample_random_pair(self) -> Tuple[str, str]:
    method forward (line 51) | def forward(self, embedder: nn.Module):
    method fake_value (line 60) | def fake_value(self, embedder: nn.Module):
    method _get_embeddings_and_geodists_for_mesh (line 66) | def _get_embeddings_and_geodists_for_mesh(
    method _forward_one_pair (line 93) | def _forward_one_pair(

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/embed.py
  class EmbeddingLoss (line 18) | class EmbeddingLoss:
    method __init__ (line 28) | def __init__(self, cfg: CfgNode):
    method __call__ (line 34) | def __call__(
    method fake_values (line 116) | def fake_values(self, densepose_predictor_outputs: Any, embedder: nn.M...
    method fake_value (line 126) | def fake_value(self, densepose_predictor_outputs: Any, embedder: nn.Mo...

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/embed_utils.py
  class PackedCseAnnotations (line 13) | class PackedCseAnnotations:
  class CseAnnotationsAccumulator (line 26) | class CseAnnotationsAccumulator(AnnotationsAccumulator):
    method __init__ (line 32) | def __init__(self):
    method accumulate (line 46) | def accumulate(self, instances_one_image: Instances):
    method _do_accumulate (line 80) | def _do_accumulate(self, box_xywh_gt: torch.Tensor, box_xywh_est: torc...
    method pack (line 108) | def pack(self) -> Optional[PackedCseAnnotations]:

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/mask.py
  class DataForMaskLoss (line 12) | class DataForMaskLoss:
  function extract_data_for_mask_loss_from_matches (line 23) | def extract_data_for_mask_loss_from_matches(
  class MaskLoss (line 71) | class MaskLoss:
    method __call__ (line 79) | def __call__(
    method fake_value (line 111) | def fake_value(self, densepose_predictor_outputs: Any) -> torch.Tensor:

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/mask_or_segm.py
  class MaskOrSegmentationLoss (line 13) | class MaskOrSegmentationLoss:
    method __init__ (line 21) | def __init__(self, cfg: CfgNode):
    method __call__ (line 33) | def __call__(
    method fake_value (line 58) | def fake_value(self, densepose_predictor_outputs: Any) -> torch.Tensor:

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/segm.py
  class SegmentationLoss (line 13) | class SegmentationLoss:
    method __init__ (line 21) | def __init__(self, cfg: CfgNode):
    method __call__ (line 31) | def __call__(
    method fake_value (line 69) | def fake_value(self, densepose_predictor_outputs: Any) -> torch.Tensor:

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/soft_embed.py
  class SoftEmbeddingLoss (line 19) | class SoftEmbeddingLoss:
    method __init__ (line 31) | def __init__(self, cfg: CfgNode):
    method __call__ (line 38) | def __call__(
    method fake_values (line 130) | def fake_values(self, densepose_predictor_outputs: Any, embedder: nn.M...
    method fake_value (line 140) | def fake_value(self, densepose_predictor_outputs: Any, embedder: nn.Mo...

FILE: VPS_Module/projects/DensePose/densepose/modeling/losses/utils.py
  function _linear_interpolation_utilities (line 16) | def _linear_interpolation_utilities(v_norm, v0_src, size_src, v0_dst, si...
  class BilinearInterpolationHelper (line 62) | class BilinearInterpolationHelper:
    method __init__ (line 86) | def __init__(
    method from_matches (line 104) | def from_matches(
    method extract_at_points (line 158) | def extract_at_points(
  function resample_data (line 195) | def resample_data(
  class AnnotationsAccumulator (line 238) | class AnnotationsAccumulator(ABC):
    method accumulate (line 245) | def accumulate(self, instances_one_image: Instances):
    method pack (line 255) | def pack(self) -> Any:
  class PackedChartBasedAnnotations (line 263) | class PackedChartBasedAnnotations:
  class ChartBasedAnnotationsAccumulator (line 303) | class ChartBasedAnnotationsAccumulator(AnnotationsAccumulator):
    method __init__ (line 309) | def __init__(self):
    method accumulate (line 324) | def accumulate(self, instances_one_image: Instances):
    method _do_accumulate (line 358) | def _do_accumulate(
    method pack (line 385) | def pack(self) -> Optional[PackedChartBasedAnnotations]:
  function extract_packed_annotations_from_matches (line 416) | def extract_packed_annotations_from_matches(
  function sample_random_indices (line 424) | def sample_random_indices(

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/chart.py
  class DensePoseChartPredictor (line 15) | class DensePoseChartPredictor(nn.Module):
    method __init__ (line 34) | def __init__(self, cfg: CfgNode, input_channels: int):
    method interp2d (line 66) | def interp2d(self, tensor_nchw: torch.Tensor):
    method forward (line 80) | def forward(self, head_outputs: torch.Tensor):

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/chart_confidence.py
  class DensePoseChartConfidencePredictorMixin (line 15) | class DensePoseChartConfidencePredictorMixin:
    method __init__ (line 32) | def __init__(self, cfg: CfgNode, input_channels: int):
    method _initialize_confidence_estimation_layers (line 47) | def _initialize_confidence_estimation_layers(self, cfg: CfgNode, dim_i...
    method forward (line 88) | def forward(self, head_outputs: torch.Tensor):
    method _create_output_instance (line 149) | def _create_output_instance(self, base_predictor_outputs: Any):

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/chart_with_confidence.py
  class DensePoseChartWithConfidencePredictor (line 8) | class DensePoseChartWithConfidencePredictor(

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/cse.py
  class DensePoseEmbeddingPredictor (line 15) | class DensePoseEmbeddingPredictor(nn.Module):
    method __init__ (line 21) | def __init__(self, cfg: CfgNode, input_channels: int):
    method interp2d (line 45) | def interp2d(self, tensor_nchw: torch.Tensor):
    method forward (line 59) | def forward(self, head_outputs):

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/cse_confidence.py
  class DensePoseEmbeddingConfidencePredictorMixin (line 15) | class DensePoseEmbeddingConfidencePredictorMixin:
    method __init__ (line 31) | def __init__(self, cfg: CfgNode, input_channels: int):
    method _initialize_confidence_estimation_layers (line 46) | def _initialize_confidence_estimation_layers(self, cfg: CfgNode, dim_i...
    method forward (line 60) | def forward(self, head_outputs: torch.Tensor):
    method _create_output_instance (line 95) | def _create_output_instance(self, base_predictor_outputs: Any):

FILE: VPS_Module/projects/DensePose/densepose/modeling/predictors/cse_with_confidence.py
  class DensePoseEmbeddingWithConfidencePredictor (line 8) | class DensePoseEmbeddingWithConfidencePredictor(

FILE: VPS_Module/projects/DensePose/densepose/modeling/roi_heads/deeplab.py
  class DensePoseDeepLabHead (line 15) | class DensePoseDeepLabHead(nn.Module):
    method __init__ (line 22) | def __init__(self, cfg: CfgNode, input_channels: int):
    method forward (line 63) | def forward(self, features):
    method _get_layer_name (line 76) | def _get_layer_name(self, i: int):
  class ASPPConv (line 84) | class ASPPConv(nn.Sequential):  # pyre-ignore[11]
    method __init__ (line 85) | def __init__(self, in_channels, out_channels, dilation):
  class ASPPPooling (line 96) | class ASPPPooling(nn.Sequential):
    method __init__ (line 97) | def __init__(self, in_channels, out_channels):
    method forward (line 105) | def forward(self, x):
  class ASPP (line 111) | class ASPP(nn.Module):
    method __init__ (line 112) | def __init__(self, in_channels, atrous_rates, out_channels):
    method forward (line 138) | def forward(self, x):
  class _NonLocalBlockND (line 149) | class _NonLocalBlockND(nn.Module):
    method __init__ (line 150) | def __init__(
    method forward (line 232) | def forward(self, x):
  class NONLocalBlock2D (line 258) | class NONLocalBlock2D(_NonLocalBlockND):
    method __init__ (line 259) | def __init__(self, in_channels, inter_channels=None, sub_sample=True, ...

FILE: VPS_Module/projects/DensePose/densepose/modeling/roi_heads/roi_head.py
  class Decoder (line 26) | class Decoder(nn.Module):
    method __init__ (line 33) | def __init__(self, cfg, input_shape: Dict[str, ShapeSpec], in_features):
    method forward (line 75) | def forward(self, features: List[torch.Tensor]):
  class DensePoseROIHeads (line 86) | class DensePoseROIHeads(StandardROIHeads):
    method __init__ (line 91) | def __init__(self, cfg, input_shape):
    method _init_densepose_head (line 95) | def _init_densepose_head(self, cfg, input_shape):
    method _forward_densepose (line 128) | def _forward_densepose(self, features: Dict[str, torch.Tensor], instan...
    method forward (line 185) | def forward(
    method forward_with_given_boxes (line 199) | def forward_with_given_boxes(

FILE: VPS_Module/projects/DensePose/densepose/modeling/roi_heads/v1convx.py
  class DensePoseV1ConvXHead (line 15) | class DensePoseV1ConvXHead(nn.Module):
    method __init__ (line 20) | def __init__(self, cfg: CfgNode, input_channels: int):
    method forward (line 45) | def forward(self, features: torch.Tensor):
    method _get_layer_name (line 63) | def _get_layer_name(self, i: int):

FILE: VPS_Module/projects/DensePose/densepose/modeling/test_time_augmentation.py
  class DensePoseDatasetMapperTTA (line 15) | class DensePoseDatasetMapperTTA(DatasetMapperTTA):
    method __init__ (line 16) | def __init__(self, cfg):
    method __call__ (line 20) | def __call__(self, dataset_dict):
  class DensePoseGeneralizedRCNNWithTTA (line 38) | class DensePoseGeneralizedRCNNWithTTA(GeneralizedRCNNWithTTA):
    method __init__ (line 39) | def __init__(self, cfg, model, transform_data, tta_mapper=None, batch_...
    method _inference_one_image (line 55) | def _inference_one_image(self, input):
    method _get_augmented_boxes (line 93) | def _get_augmented_boxes(self, augmented_inputs, tfms):
    method _reduce_pred_densepose (line 114) | def _reduce_pred_densepose(self, outputs, tfms):
    method _incremental_avg_dp (line 136) | def _incremental_avg_dp(self, avg, new_el, idx):
  function _inverse_rotation (line 145) | def _inverse_rotation(densepose_attrs, boxes, transform):
  function rotate_box_inverse (line 185) | def rotate_box_inverse(rot_tfm, rotated_box):

FILE: VPS_Module/projects/DensePose/densepose/modeling/utils.py
  function initialize_module_params (line 6) | def initialize_module_params(module: nn.Module):

FILE: VPS_Module/projects/DensePose/densepose/structures/chart.py
  class DensePoseChartPredictorOutput (line 9) | class DensePoseChartPredictorOutput:
    method __len__ (line 32) | def __len__(self):
    method __getitem__ (line 38) | def __getitem__(
    method to (line 62) | def to(self, device: torch.device):

FILE: VPS_Module/projects/DensePose/densepose/structures/chart_confidence.py
  function decorate_predictor_output_class_with_confidences (line 10) | def decorate_predictor_output_class_with_confidences(BasePredictorOutput...

FILE: VPS_Module/projects/DensePose/densepose/structures/chart_result.py
  class DensePoseChartResult (line 9) | class DensePoseChartResult:
    method to (line 25) | def to(self, device: torch.device):
  class DensePoseChartResultWithConfidences (line 35) | class DensePoseChartResultWithConfidences:
    method to (line 55) | def to(self, device: torch.device):
  class DensePoseChartResultQuantized (line 78) | class DensePoseChartResultQuantized:
    method to (line 95) | def to(self, device: torch.device):
  class DensePoseChartResultCompressed (line 104) | class DensePoseChartResultCompressed:
  function quantize_densepose_chart_result (line 120) | def quantize_densepose_chart_result(result: DensePoseChartResult) -> Den...
  function compress_quantized_densepose_chart_result (line 136) | def compress_quantized_densepose_chart_result(
  function decompress_compressed_densepose_chart_result (line 162) | def decompress_compressed_densepose_chart_result(

FILE: VPS_Module/projects/DensePose/densepose/structures/cse.py
  class DensePoseEmbeddingPredictorOutput (line 9) | class DensePoseEmbeddingPredictorOutput:
    method __len__ (line 21) | def __len__(self):
    method __getitem__ (line 27) | def __getitem__(
    method to (line 46) | def to(self, device: torch.device):

FILE: VPS_Module/projects/DensePose/densepose/structures/cse_confidence.py
  function decorate_cse_predictor_output_class_with_confidences (line 10) | def decorate_cse_predictor_output_class_with_confidences(BasePredictorOu...

FILE: VPS_Module/projects/DensePose/densepose/structures/data_relative.py
  class DensePoseDataRelative (line 11) | class DensePoseDataRelative(object):
    method __init__ (line 50) | def __init__(self, annotation, cleanup=False):
    method to (line 75) | def to(self, device):
    method extract_segmentation_mask (line 90) | def extract_segmentation_mask(annotation):
    method validate_annotation (line 114) | def validate_annotation(annotation):
    method cleanup_annotation (line 158) | def cleanup_annotation(annotation):
    method apply_transform (line 172) | def apply_transform(self, transforms, densepose_transform_data):
    method _transform_pts (line 177) | def _transform_pts(self, transforms, dp_transform_data):
    method _flip_iuv_semantics (line 195) | def _flip_iuv_semantics(self, dp_transform_data: DensePoseTransformDat...
    method _flip_vertices (line 213) | def _flip_vertices(self):
    method _transform_segm (line 220) | def _transform_segm(self, transforms, dp_transform_data):
    method _flip_segm_semantics (line 233) | def _flip_segm_semantics(self, dp_transform_data):
    method _transform_segm_rotation (line 240) | def _transform_segm_rotation(self, rotation):

FILE: VPS_Module/projects/DensePose/densepose/structures/list.py
  class DensePoseList (line 7) | class DensePoseList(object):
    method __init__ (line 11) | def __init__(self, densepose_datas, boxes_xyxy_abs, image_size_hw, dev...
    method to (line 31) | def to(self, device):
    method __iter__ (line 36) | def __iter__(self):
    method __len__ (line 39) | def __len__(self):
    method __repr__ (line 42) | def __repr__(self):
    method __getitem__ (line 49) | def __getitem__(self, item):

FILE: VPS_Module/projects/DensePose/densepose/structures/mesh.py
  function _maybe_copy_to_device (line 13) | def _maybe_copy_to_device(
  class Mesh (line 21) | class Mesh:
    method __init__ (line 22) | def __init__(
    method to (line 79) | def to(self, device: torch.device):
    method vertices (line 94) | def vertices(self):
    method faces (line 100) | def faces(self):
    method geodists (line 106) | def geodists(self):
    method symmetry (line 112) | def symmetry(self):
    method texcoords (line 118) | def texcoords(self):
    method get_geodists (line 123) | def get_geodists(self):
    method _compute_geodists (line 128) | def _compute_geodists(self):
  function load_mesh_data (line 134) | def load_mesh_data(
  function load_mesh_auxiliary_data (line 144) | def load_mesh_auxiliary_data(
  function load_mesh_symmetry (line 154) | def load_mesh_symmetry(
  function create_mesh (line 169) | def create_mesh(mesh_name: str, device: Optional[torch.device] = None):

FILE: VPS_Module/projects/DensePose/densepose/structures/transform_data.py
  function normalized_coords_transform (line 6) | def normalized_coords_transform(x0, y0, w, h):
  class DensePoseTransformData (line 19) | class DensePoseTransformData(object):
    method __init__ (line 27) | def __init__(self, uv_symmetries: Dict[str, torch.Tensor], device: tor...
    method to (line 33) | def to(self, device: torch.device, copy: bool = False) -> "DensePoseTr...
    method load (line 52) | def load(io: Union[str, BinaryIO]):

FILE: VPS_Module/projects/DensePose/densepose/utils/dbhelper.py
  class EntrySelector (line 5) | class EntrySelector(object):
    method from_string (line 11) | def from_string(spec: str) -> "EntrySelector":
  class AllEntrySelector (line 17) | class AllEntrySelector(EntrySelector):
    method __call__ (line 24) | def __call__(self, entry):
  class FieldEntrySelector (line 28) | class FieldEntrySelector(EntrySelector):
    class _FieldEntryValuePredicate (line 52) | class _FieldEntryValuePredicate(object):
      method __init__ (line 57) | def __init__(self, name: str, typespec: Optional[str], value: str):
      method __call__ (line 64) | def __call__(self, entry):
    class _FieldEntryRangePredicate (line 67) | class _FieldEntryRangePredicate(object):
      method __init__ (line 72) | def __init__(self, name: str, typespec: Optional[str], vmin: str, vm...
      method __call__ (line 80) | def __call__(self, entry):
    method __init__ (line 85) | def __init__(self, spec: str):
    method __call__ (line 88) | def __call__(self, entry: Dict[str, Any]):
    method _parse_specifier_into_predicates (line 94) | def _parse_specifier_into_predicates(self, spec: str):
    method _parse_field_name_type (line 119) | def _parse_field_name_type(self, field_name_with_type: str) -> Tuple[s...
    method _is_range_spec (line 133) | def _is_range_spec(self, field_value_or_range):
    method _get_range_spec (line 137) | def _get_range_spec(self, field_value_or_range):
    method _parse_error (line 146) | def _parse_error(self, msg):

FILE: VPS_Module/projects/DensePose/densepose/utils/logger.py
  function verbosity_to_level (line 5) | def verbosity_to_level(verbosity):

FILE: VPS_Module/projects/DensePose/densepose/utils/transform.py
  function load_for_dataset (line 8) | def load_for_dataset(dataset_name):
  function load_from_cfg (line 14) | def load_from_cfg(cfg):

FILE: VPS_Module/projects/DensePose/densepose/vis/base.py
  class MatrixVisualizer (line 11) | class MatrixVisualizer(object):
    method __init__ (line 16) | def __init__(
    method visualize (line 32) | def visualize(self, image_bgr, mask, matrix, bbox_xywh):
    method _resize (line 59) | def _resize(self, mask, matrix, w, h):
    method _check_image (line 66) | def _check_image(self, image_rgb):
    method _check_mask_matrix (line 71) | def _check_mask_matrix(self, mask, matrix):
  class RectangleVisualizer (line 77) | class RectangleVisualizer(object):
    method __init__ (line 81) | def __init__(self, color=_COLOR_GREEN, thickness=1):
    method visualize (line 85) | def visualize(self, image_bgr, bbox_xywh, color=None, thickness=None):
  class PointsVisualizer (line 93) | class PointsVisualizer(object):
    method __init__ (line 97) | def __init__(self, color_bgr=_COLOR_GREEN, r=5):
    method visualize (line 101) | def visualize(self, image_bgr, pts_xy, colors_bgr=None, rs=None):
  class TextVisualizer (line 110) | class TextVisualizer(object):
    method __init__ (line 115) | def __init__(
    method visualize (line 139) | def visualize(self, image_bgr, txt, topleft_xy):
    method get_text_size_wh (line 167) | def get_text_size_wh(self, txt):
  class CompoundVisualizer (line 174) | class CompoundVisualizer(object):
    method __init__ (line 175) | def __init__(self, visualizers):
    method visualize (line 178) | def visualize(self, image_bgr, data):
    method __str__ (line 189) | def __str__(self):

FILE: VPS_Module/projects/DensePose/densepose/vis/bounding_box.py
  class BoundingBoxVisualizer (line 5) | class BoundingBoxVisualizer(object):
    method __init__ (line 6) | def __init__(self):
    method visualize (line 9) | def visualize(self, image_bgr, boxes_xywh):
  class ScoredBoundingBoxVisualizer (line 15) | class ScoredBoundingBoxVisualizer(object):
    method __init__ (line 16) | def __init__(self, bbox_visualizer_params=None, score_visualizer_param...
    method visualize (line 24) | def visualize(self, image_bgr, scored_bboxes):

FILE: VPS_Module/projects/DensePose/densepose/vis/densepose_data_points.py
  class DensePoseDataCoarseSegmentationVisualizer (line 11) | class DensePoseDataCoarseSegmentationVisualizer(object):
    method __init__ (line 16) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...
    method visualize (line 24) | def visualize(
  class DensePoseDataPointsVisualizer (line 39) | class DensePoseDataPointsVisualizer(object):
    method __init__ (line 40) | def __init__(self, densepose_data_to_value_fn=None, cmap=cv2.COLORMAP_...
    method visualize (line 45) | def visualize(
  function _densepose_data_u_for_cmap (line 69) | def _densepose_data_u_for_cmap(densepose_data):
  function _densepose_data_v_for_cmap (line 74) | def _densepose_data_v_for_cmap(densepose_data):
  function _densepose_data_i_for_cmap (line 79) | def _densepose_data_i_for_cmap(densepose_data):
  class DensePoseDataPointsUVisualizer (line 88) | class DensePoseDataPointsUVisualizer(DensePoseDataPointsVisualizer):
    method __init__ (line 89) | def __init__(self, **kwargs):
  class DensePoseDataPointsVVisualizer (line 95) | class DensePoseDataPointsVVisualizer(DensePoseDataPointsVisualizer):
    method __init__ (line 96) | def __init__(self, **kwargs):
  class DensePoseDataPointsIVisualizer (line 102) | class DensePoseDataPointsIVisualizer(DensePoseDataPointsVisualizer):
    method __init__ (line 103) | def __init__(self, **kwargs):

FILE: VPS_Module/projects/DensePose/densepose/vis/densepose_outputs_iuv.py
  class DensePoseOutputsVisualizer (line 12) | class DensePoseOutputsVisualizer(object):
    method __init__ (line 13) | def __init__(
    method visualize (line 27) | def visualize(
  class DensePoseOutputsUVisualizer (line 89) | class DensePoseOutputsUVisualizer(DensePoseOutputsVisualizer):
    method __init__ (line 90) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...
  class DensePoseOutputsVVisualizer (line 94) | class DensePoseOutputsVVisualizer(DensePoseOutputsVisualizer):
    method __init__ (line 95) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...
  class DensePoseOutputsFineSegmentationVisualizer (line 99) | class DensePoseOutputsFineSegmentationVisualizer(DensePoseOutputsVisuali...
    method __init__ (line 100) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...

FILE: VPS_Module/projects/DensePose/densepose/vis/densepose_outputs_vertex.py
  function get_xyz_vertex_embedding (line 22) | def get_xyz_vertex_embedding(mesh_name: str, device: torch.device):
  class DensePoseOutputsVertexVisualizer (line 40) | class DensePoseOutputsVertexVisualizer(object):
    method __init__ (line 41) | def __init__(
    method visualize (line 65) | def visualize(
    method extract_and_check_outputs_and_boxes (line 97) | def extract_and_check_outputs_and_boxes(self, outputs_boxes_xywh_class...
  function get_texture_atlases (line 131) | def get_texture_atlases(json_str: Optional[str]) -> Optional[Dict[str, O...
  class DensePoseOutputsTextureVisualizer (line 142) | class DensePoseOutputsTextureVisualizer(DensePoseOutputsVertexVisualizer):
    method __init__ (line 143) | def __init__(
    method visualize (line 173) | def visualize(
    method generate_image_with_texture (line 217) | def generate_image_with_texture(self, bbox_image_bgr, uv_array, mask, ...

FILE: VPS_Module/projects/DensePose/densepose/vis/densepose_results.py
  class DensePoseResultsVisualizer (line 14) | class DensePoseResultsVisualizer(object):
    method visualize (line 15) | def visualize(
    method create_visualization_context (line 34) | def create_visualization_context(self, image_bgr: Image):
    method visualize_iuv_arr (line 37) | def visualize_iuv_arr(self, context, iuv_arr: np.ndarray, bbox_xywh) -...
    method context_to_image_bgr (line 40) | def context_to_image_bgr(self, context):
    method get_image_bgr_from_context (line 43) | def get_image_bgr_from_context(self, context):
  class DensePoseMaskedColormapResultsVisualizer (line 47) | class DensePoseMaskedColormapResultsVisualizer(DensePoseResultsVisualizer):
    method __init__ (line 48) | def __init__(
    method context_to_image_bgr (line 64) | def context_to_image_bgr(self, context):
    method visualize_iuv_arr (line 67) | def visualize_iuv_arr(self, context, iuv_arr: np.ndarray, bbox_xywh) -...
  function _extract_i_from_iuvarr (line 76) | def _extract_i_from_iuvarr(iuv_arr):
  function _extract_u_from_iuvarr (line 80) | def _extract_u_from_iuvarr(iuv_arr):
  function _extract_v_from_iuvarr (line 84) | def _extract_v_from_iuvarr(iuv_arr):
  class DensePoseResultsMplContourVisualizer (line 88) | class DensePoseResultsMplContourVisualizer(DensePoseResultsVisualizer):
    method __init__ (line 89) | def __init__(self, levels=10, **kwargs):
    method create_visualization_context (line 93) | def create_visualization_context(self, image_bgr: Image):
    method context_to_image_bgr (line 112) | def context_to_image_bgr(self, context):
    method visualize_iuv_arr (line 122) | def visualize_iuv_arr(self, context, iuv_arr: np.ndarray, bbox_xywh: B...
  class DensePoseResultsCustomContourVisualizer (line 137) | class DensePoseResultsCustomContourVisualizer(DensePoseResultsVisualizer):
    method __init__ (line 142) | def __init__(self, levels=10, **kwargs):
    method visualize_iuv_arr (line 159) | def visualize_iuv_arr(self, context, iuv_arr: np.ndarray, bbox_xywh: B...
    method _contours (line 167) | def _contours(self, image_bgr, arr, segm, bbox_xywh):
    method _draw_line (line 213) | def _draw_line(
    method _bin_code_2_lines (line 239) | def _bin_code_2_lines(self, arr, v, bin_code, multi_idx, Nw, Nh, offset):
  class DensePoseResultsFineSegmentationVisualizer (line 319) | class DensePoseResultsFineSegmentationVisualizer(DensePoseMaskedColormap...
    method __init__ (line 320) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...
  class DensePoseResultsUVisualizer (line 332) | class DensePoseResultsUVisualizer(DensePoseMaskedColormapResultsVisualiz...
    method __init__ (line 333) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...
  class DensePoseResultsVVisualizer (line 345) | class DensePoseResultsVVisualizer(DensePoseMaskedColormapResultsVisualiz...
    method __init__ (line 346) | def __init__(self, inplace=True, cmap=cv2.COLORMAP_PARULA, alpha=0.7, ...

FILE: VPS_Module/projects/DensePose/densepose/vis/densepose_results_textures.py
  function get_texture_atlas (line 13) | def get_texture_atlas(path: Optional[str]) -> Optional[np.ndarray]:
  class DensePoseResultsVisualizerWithTexture (line 27) | class DensePoseResultsVisualizerWithTexture(DensePoseResultsVisualizer):
    method __init__ (line 34) | def __init__(self, texture_atlas, **kwargs):
    method visualize (line 39) | def visualize(
    method get_texture (line 59) | def get_texture(self):
    method generate_image_with_texture (line 76) | def generate_image_with_texture(self, texture_image, alpha, bbox_image...

FILE: VPS_Module/projects/DensePose/densepose/vis/extractor.py
  function extract_scores_from_instances (line 24) | def extract_scores_from_instances(instances: Instances, select=None):
  function extract_boxes_xywh_from_instances (line 30) | def extract_boxes_xywh_from_instances(instances: Instances, select=None):
  function create_extractor (line 39) | def create_extractor(visualizer: object):
  class BoundingBoxExtractor (line 60) | class BoundingBoxExtractor(object):
    method __call__ (line 65) | def __call__(self, instances: Instances):
  class ScoredBoundingBoxExtractor (line 70) | class ScoredBoundingBoxExtractor(object):
    method __call__ (line 75) | def __call__(self, instances: Instances, select=None):
  class DensePoseResultExtractor (line 86) | class DensePoseResultExtractor(object):
    method __call__ (line 91) | def __call__(
  class DensePoseOutputsExtractor (line 108) | class DensePoseOutputsExtractor(object):
    method __call__ (line 113) | def __call__(
  class CompoundExtractor (line 141) | class CompoundExtractor(object):
    method __init__ (line 146) | def __init__(self, extractors):
    method __call__ (line 149) | def __call__(self, instances: Instances, select=None):
  class NmsFilteredExtractor (line 157) | class NmsFilteredExtractor(object):
    method __init__ (line 162) | def __init__(self, extractor, iou_threshold):
    method __call__ (line 166) | def __call__(self, instances: Instances, select=None):
  class ScoreThresholdedExtractor (line 183) | class ScoreThresholdedExtractor(object):
    method __init__ (line 188) | def __init__(self, extractor, min_score):
    method __call__ (line 192) | def __call__(self, instances: Instances, select=None):

FILE: VPS_Module/projects/DensePose/query_db.py
  class Action (line 39) | class Action(object):
    method add_arguments (line 41) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
  function register_action (line 50) | def register_action(cls: type):
  class EntrywiseAction (line 59) | class EntrywiseAction(Action):
    method add_arguments (line 61) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method execute (line 78) | def execute(cls: type, args: argparse.Namespace):
    method create_context (line 92) | def create_context(cls: type, args: argparse.Namespace) -> Dict[str, A...
  class PrintAction (line 98) | class PrintAction(EntrywiseAction):
    method add_parser (line 106) | def add_parser(cls: type, subparsers: argparse._SubParsersAction):
    method add_arguments (line 112) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method execute_on_entry (line 116) | def execute_on_entry(cls: type, entry: Dict[str, Any], context: Dict[s...
  class ShowAction (line 124) | class ShowAction(EntrywiseAction):
    method add_parser (line 140) | def add_parser(cls: type, subparsers: argparse._SubParsersAction):
    method add_arguments (line 146) | def add_arguments(cls: type, parser: argparse.ArgumentParser):
    method execute_on_entry (line 162) | def execute_on_entry(cls: type, entry: Dict[str, Any], context: Dict[s...
    method _get_out_fname (line 179) | def _get_out_fname(cls: type, entry_idx: int, fname_base: str):
    method create_context (line 184) | def create_context(cls: type, args: argparse.Namespace) -> Dict[str, A...
    method _extract_data_for_visualizers_from_entry (line 199) | def _extract_data_for_visualizers_from_entry(
  function setup_dataset (line 218) | def setup_dataset(dataset_name):
  function create_argument_parser (line 227) | def create_argument_parser() -> argparse.ArgumentParser:
  function main (line 239) | def main():

FILE: VPS_Module/projects/DensePose/setup.py
  function get_detectron2_current_version (line 19) | def get_detectron2_current_version():

FILE: VPS_Module/projects/DensePose/train_net.py
  function setup (line 26) | def setup(args):
  function main (line 38) | def main(args):

FILE: VPS_Module/projects/Panoptic-DeepLab/panoptic_deeplab/config.py
  function add_panoptic_deeplab_config (line 8) | def add_panoptic_deeplab_config(cfg):

FILE: VPS_Module/projects/Panoptic-DeepLab/panoptic_deeplab/dataset_mapper.py
  class PanopticDeeplabDatasetMapper (line 19) | class PanopticDeeplabDatasetMapper:
    method __init__ (line 29) | def __init__(
    method from_config (line 55) | def from_config(cls, cfg):
    method __call__ (line 87) | def __call__(self, dataset_dict):

FILE: VPS_Module/projects/Panoptic-DeepLab/panoptic_deeplab/panoptic_seg.py
  class PanopticDeepLab (line 37) | class PanopticDeepLab(nn.Module):
    method __init__ (line 42) | def __init__(self, cfg):
    method device (line 64) | def device(self):
    method forward (line 67) | def forward(self, batched_inputs):
  class PanopticDeepLabSemSegHead (line 223) | class PanopticDeepLabSemSegHead(DeepLabV3PlusHead):
    method __init__ (line 229) | def __init__(
    method from_config (line 319) | def from_config(cls, cfg, input_shape):
    method forward (line 325) | def forward(self, features, targets=None, weights=None):
    method layers (line 340) | def layers(self, features):
    method losses (line 347) | def losses(self, predictions, targets, weights=None):
  function build_ins_embed_branch (line 356) | def build_ins_embed_branch(cfg, input_shape):
  class PanopticDeepLabInsEmbedHead (line 365) | class PanopticDeepLabInsEmbedHead(DeepLabV3PlusHead):
    method __init__ (line 371) | def __init__(
    method from_config (line 476) | def from_config(cls, cfg, input_shape):
    method forward (line 503) | def forward(
    method layers (line 536) | def layers(self, features):
    method center_losses (line 547) | def center_losses(self, predictions, targets, weights):
    method offset_losses (line 559) | def offset_losses(self, predictions, targets, weights):

FILE: VPS_Module/projects/Panoptic-DeepLab/panoptic_deeplab/post_processing.py
  function find_instance_center (line 9) | def find_instance_center(center_heatmap, threshold=0.1, nms_kernel=3, to...
  function group_pixels (line 44) | def group_pixels(center_points, offsets):
  function get_instance_segmentation (line 79) | def get_instance_segmentation(
  function merge_semantic_and_instance (line 111) | def merge_semantic_and_instance(
  function get_panoptic_segmentation (line 165) | def get_panoptic_segmentation(

FILE: VPS_Module/projects/Panoptic-DeepLab/panoptic_deeplab/target_generator.py
  class PanopticDeepLabTargetGenerator (line 7) | class PanopticDeepLabTargetGenerator(object):
    method __init__ (line 12) | def __init__(
    method __call__ (line 52) | def __call__(self, panoptic, segments_info):

FILE: VPS_Module/projects/Panoptic-DeepLab/train_net.py
  function build_sem_seg_train_aug (line 34) | def build_sem_seg_train_aug(cfg):
  class Trainer (line 46) | class Trainer(DefaultTrainer):
    method build_evaluator (line 55) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method build_train_loader (line 99) | def build_train_loader(cls, cfg):
    method build_lr_scheduler (line 104) | def build_lr_scheduler(cls, cfg, optimizer):
    method build_optimizer (line 112) | def build_optimizer(cls, cfg, model):
  function setup (line 136) | def setup(args):
  function main (line 149) | def main(args):

FILE: VPS_Module/projects/PointRend/point_rend/color_augmentation.py
  class ColorAugSSDTransform (line 8) | class ColorAugSSDTransform(Transform):
    method __init__ (line 27) | def __init__(
    method apply_coords (line 43) | def apply_coords(self, coords):
    method apply_segmentation (line 46) | def apply_segmentation(self, segmentation):
    method apply_image (line 49) | def apply_image(self, img, interp=None):
    method convert (line 65) | def convert(self, img, alpha=1, beta=0):
    method brightness (line 70) | def brightness(self, img):
    method contrast (line 77) | def contrast(self, img):
    method saturation (line 82) | def saturation(self, img):
    method hue (line 91) | def hue(self, img):

FILE: VPS_Module/projects/PointRend/point_rend/config.py
  function add_pointrend_config (line 7) | def add_pointrend_config(cfg):

FILE: VPS_Module/projects/PointRend/point_rend/mask_head.py
  function calculate_uncertainty (line 29) | def calculate_uncertainty(logits, classes):
  class ConvFCHead (line 52) | class ConvFCHead(nn.Module):
    method __init__ (line 62) | def __init__(
    method from_config (line 121) | def from_config(cls, cfg, input_shape):
    method forward (line 137) | def forward(self, x):
    method _load_from_state_dict (line 147) | def _load_from_state_dict(
  class PointRendMaskHead (line 168) | class PointRendMaskHead(nn.Module):
    method __init__ (line 169) | def __init__(self, cfg, input_shape: Dict[str, ShapeSpec]):
    method _init_roi_head (line 188) | def _init_roi_head(self, cfg, input_shape):
    method _init_point_head (line 191) | def _init_point_head(self, cfg, input_shape):
    method forward (line 219) | def forward(self, features, instances):
    method _roi_pooler (line 245) | def _roi_pooler(self, features: List[Tensor], boxes: List[Boxes]):
    method _sample_train_points (line 269) | def _sample_train_points(self, coarse_mask, instances):
    method _point_pooler (line 288) | def _point_pooler(self, features, proposal_boxes, point_coords):
    method _get_point_logits (line 297) | def _get_point_logits(self, point_fine_grained_features, point_coords,...
    method _subdivision_inference (line 302) | def _subdivision_inference(self, features, mask_representations, insta...
  class ImplicitPointRendMaskHead (line 363) | class ImplicitPointRendMaskHead(PointRendMaskHead):
    method __init__ (line 364) | def __init__(self, cfg, input_shape: Dict[str, ShapeSpec]):
    method _init_roi_head (line 367) | def _init_roi_head(self, cfg, input_shape):
    method _init_point_head (line 372) | def _init_point_head(self, cfg, input_shape):
    method forward (line 397) | def forward(self, features, instances):
    method _uniform_sample_train_points (line 421) | def _uniform_sample_train_points(self, instances):
    method _get_point_logits (line 434) | def _get_point_logits(self, fine_grained_features, point_coords, param...

FILE: VPS_Module/projects/PointRend/point_rend/point_features.py
  function point_sample (line 19) | def point_sample(input, point_coords, **kwargs):
  function generate_regular_grid_point_coords (line 45) | def generate_regular_grid_point_coords(R, side_size, device):
  function get_uncertain_point_coords_with_randomness (line 63) | def get_uncertain_point_coords_with_randomness(
  function get_uncertain_point_coords_on_grid (line 119) | def get_uncertain_point_coords_on_grid(uncertainty_map, num_points):
  function point_sample_fine_grained_features (line 146) | def point_sample_fine_grained_features(features_list, feature_scales, bo...
  function get_point_coords_wrt_image (line 192) | def get_point_coords_wrt_image(boxes_coords, point_coords):
  function sample_point_labels (line 219) | def sample_point_labels(instances, point_coords):

FILE: VPS_Module/projects/PointRend/point_rend/point_head.py
  function roi_mask_point_loss (line 20) | def roi_mask_point_loss(mask_logits, instances, point_labels):
  class StandardPointHead (line 80) | class StandardPointHead(nn.Module):
    method __init__ (line 86) | def __init__(self, cfg, input_shape: ShapeSpec):
    method forward (line 123) | def forward(self, fine_grained_features, coarse_features):
  class ImplicitPointHead (line 133) | class ImplicitPointHead(nn.Module):
    method __init__ (line 139) | def __init__(self, cfg, input_shape: ShapeSpec):
    method forward (line 187) | def forward(self, fine_grained_features, point_coords, parameters):
    method _dynamic_mlp (line 227) | def _dynamic_mlp(features, weights, biases, num_instances):
    method _parse_params (line 238) | def _parse_params(
  function build_point_head (line 277) | def build_point_head(cfg, input_channels):

FILE: VPS_Module/projects/PointRend/point_rend/roi_heads.py
  class PointRendROIHeads (line 8) | class PointRendROIHeads(StandardROIHeads):
    method _load_from_state_dict (line 16) | def _load_from_state_dict(
    method _init_mask_head (line 37) | def _init_mask_head(cls, cfg, input_shape):

FILE: VPS_Module/projects/PointRend/point_rend/semantic_seg.py
  function calculate_uncertainty (line 19) | def calculate_uncertainty(sem_seg_logits):
  class PointRendSemSegHead (line 37) | class PointRendSemSegHead(nn.Module):
    method __init__ (line 43) | def __init__(self, cfg, input_shape: Dict[str, ShapeSpec]):
    method _init_point_head (line 53) | def _init_point_head(self, cfg, input_shape: Dict[str, ShapeSpec]):
    method forward (line 68) | def forward(self, features, targets=None):

FILE: VPS_Module/projects/PointRend/train_net.py
  function build_sem_seg_train_aug (line 31) | def build_sem_seg_train_aug(cfg):
  class Trainer (line 52) | class Trainer(DefaultTrainer):
    method build_evaluator (line 61) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method build_train_loader (line 103) | def build_train_loader(cls, cfg):
  function setup (line 111) | def setup(args):
  function main (line 124) | def main(args):

FILE: VPS_Module/projects/PointSup/point_sup/config.py
  function add_point_sup_config (line 5) | def add_point_sup_config(cfg):

FILE: VPS_Module/projects/PointSup/point_sup/dataset_mapper.py
  class PointSupDatasetMapper (line 19) | class PointSupDatasetMapper:
    method __init__ (line 28) | def __init__(
    method from_config (line 58) | def from_config(cls, cfg, is_train: bool = True):
    method __call__ (line 72) | def __call__(self, dataset_dict):

FILE: VPS_Module/projects/PointSup/point_sup/detection_utils.py
  function annotations_to_instances (line 16) | def annotations_to_instances(annos, image_size, sample_points=0):
  function transform_instance_annotations (line 66) | def transform_instance_annotations(

FILE: VPS_Module/projects/PointSup/point_sup/mask_head.py
  class MaskRCNNConvUpsamplePointSupHead (line 21) | class MaskRCNNConvUpsamplePointSupHead(MaskRCNNConvUpsampleHead):
    method forward (line 31) | def forward(self, x, instances: List[Instances]) -> Any:
  class ImplicitPointRendPointSupHead (line 71) | class ImplicitPointRendPointSupHead(ImplicitPointRendMaskHead):
    method _uniform_sample_train_points (line 72) | def _uniform_sample_train_points(self, instances):

FILE: VPS_Module/projects/PointSup/point_sup/point_utils.py
  function get_point_coords_from_point_annotation (line 7) | def get_point_coords_from_point_annotation(instances):
  function get_point_coords_wrt_box (line 55) | def get_point_coords_wrt_box(boxes_coords, point_coords):

FILE: VPS_Module/projects/PointSup/point_sup/register_point_annotations.py
  function register_coco_instances_with_points (line 13) | def register_coco_instances_with_points(name, metadata, json_file, image...
  function register_all_coco_train_points (line 53) | def register_all_coco_train_points(root):

FILE: VPS_Module/projects/PointSup/tools/prepare_coco_point_annotations_without_masks.py
  function get_point_annotations (line 16) | def get_point_annotations(input_filename, output_filename, num_points_pe...

FILE: VPS_Module/projects/PointSup/train_net.py
  class Trainer (line 23) | class Trainer(DefaultTrainer):
    method build_evaluator (line 32) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method build_train_loader (line 56) | def build_train_loader(cls, cfg):
  function setup (line 64) | def setup(args):
  function main (line 80) | def main(args):

FILE: VPS_Module/projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_batch_stats.py
  class BatchNormBatchStat (line 5) | class BatchNormBatchStat(BatchNorm2d):
    method forward (line 10) | def forward(self, input):

FILE: VPS_Module/projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_shuffle.py
  function concat_all_gather (line 10) | def concat_all_gather(input):
  function batch_shuffle (line 23) | def batch_shuffle(x):
  function batch_unshuffle (line 52) | def batch_unshuffle(x, idx_unshuffle):
  function wrap_shuffle (line 58) | def wrap_shuffle(module_type, method):

FILE: VPS_Module/projects/Rethinking-BatchNorm/configs/retinanet_SyncBNhead_SharedTraining.py
  function apply_sequential (line 8) | def apply_sequential(inputs, modules):
  class RetinaNetHead_SharedTrainingBN (line 23) | class RetinaNetHead_SharedTrainingBN(RetinaNetHead):
    method forward (line 24) | def forward(self, features: List[Tensor]):

FILE: VPS_Module/projects/TensorMask/setup.py
  function get_extensions (line 11) | def get_extensions():

FILE: VPS_Module/projects/TensorMask/tensormask/arch.py
  function permute_all_cls_and_box_to_N_HWA_K_and_concat (line 23) | def permute_all_cls_and_box_to_N_HWA_K_and_concat(pred_logits, pred_anch...
  function _assignment_rule (line 42) | def _assignment_rule(
  function _paste_mask_lists_in_image (line 136) | def _paste_mask_lists_in_image(masks, boxes, image_shape, threshold=0.5):
  function _postprocess (line 182) | def _postprocess(results, result_mask_info, output_height, output_width,...
  class TensorMaskAnchorGenerator (line 229) | class TensorMaskAnchorGenerator(DefaultAnchorGenerator):
    method grid_anchors_with_unit_lengths_and_indexes (line 235) | def grid_anchors_with_unit_lengths_and_indexes(self, grid_sizes):
    method forward (line 270) | def forward(self, features):
  class TensorMask (line 301) | class TensorMask(nn.Module):
    method __init__ (line 308) | def __init__(self, cfg):
    method device (line 355) | def device(self):
    method forward (line 358) | def forward(self, batched_inputs):
    method losses (line 416) | def losses(
    method get_ground_truth (line 503) | def get_ground_truth(self, anchors, unit_lengths, indexes, targets):
    method inference (line 633) | def inference(self, pred_logits, pred_deltas, pred_masks, anchors, ind...
    method inference_single_image (line 675) | def inference_single_image(
    method preprocess_image (line 744) | def preprocess_image(self, batched_inputs):
  class TensorMaskHead (line 754) | class TensorMaskHead(nn.Module):
    method __init__ (line 755) | def __init__(self, cfg, num_levels, num_anchors, mask_sizes, input_sha...
    method forward (line 857) | def forward(self, features):

FILE: VPS_Module/projects/TensorMask/tensormask/config.py
  function add_tensormask_config (line 7) | def add_tensormask_config(cfg):

FILE: VPS_Module/projects/TensorMask/tensormask/layers/csrc/SwapAlign2Nat/SwapAlign2Nat.h
  function namespace (line 5) | namespace tensormask {

FILE: VPS_Module/projects/TensorMask/tensormask/layers/csrc/vision.cpp
  type tensormask (line 6) | namespace tensormask {
    function PYBIND11_MODULE (line 8) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: VPS_Module/projects/TensorMask/tensormask/layers/swap_align2nat.py
  class _SwapAlign2Nat (line 9) | class _SwapAlign2Nat(Function):
    method forward (line 11) | def forward(ctx, X, lambda_val, pad_val):
    method backward (line 20) | def backward(ctx, gY):
  class SwapAlign2Nat (line 32) | class SwapAlign2Nat(nn.Module):
    method __init__ (line 48) | def __init__(self, lambda_val, pad_val=-6.0):
    method forward (line 53) | def forward(self, X):
    method __repr__ (line 56) | def __repr__(self):

FILE: VPS_Module/projects/TensorMask/train_net.py
  class Trainer (line 21) | class Trainer(DefaultTrainer):
    method build_evaluator (line 23) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
  function setup (line 29) | def setup(args):
  function main (line 42) | def main(args):

FILE: VPS_Module/projects/TridentNet/train_net.py
  class Trainer (line 20) | class Trainer(DefaultTrainer):
    method build_evaluator (line 22) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
  function setup (line 28) | def setup(args):
  function main (line 41) | def main(args):

FILE: VPS_Module/projects/TridentNet/tridentnet/config.py
  function add_tridentnet_config (line 7) | def add_tridentnet_config(cfg):

FILE: VPS_Module/projects/TridentNet/tridentnet/trident_backbone.py
  class TridentBottleneckBlock (line 15) | class TridentBottleneckBlock(ResNetBlockBase):
    method __init__ (line 16) | def __init__(
    method forward (line 95) | def forward(self, x):
  function make_trident_stage (line 119) | def make_trident_stage(block_class, num_blocks, **kwargs):
  function build_trident_resnet_backbone (line 129) | def build_trident_resnet_backbone(cfg, input_shape):

FILE: VPS_Module/projects/TridentNet/tridentnet/trident_conv.py
  class TridentConv (line 10) | class TridentConv(nn.Module):
    method __init__ (line 11) | def __init__(
    method forward (line 58) | def forward(self, inputs):
    method extra_repr (line 96) | def extra_repr(self):

FILE: VPS_Module/projects/TridentNet/tridentnet/trident_rcnn.py
  function merge_branch_instances (line 8) | def merge_branch_instances(instances, num_branch, nms_thresh, topk_per_i...
  class TridentRes5ROIHeads (line 48) | class TridentRes5ROIHeads(Res5ROIHeads):
    method __init__ (line 54) | def __init__(self, cfg, input_shape):
    method forward (line 60) | def forward(self, images, features, proposals, targets=None):
  class TridentStandardROIHeads (line 83) | class TridentStandardROIHeads(StandardROIHeads):
    method __init__ (line 89) | def __init__(self, cfg, input_shape):
    method forward (line 95) | def forward(self, images, features, proposals, targets=None):

FILE: VPS_Module/projects/TridentNet/tridentnet/trident_rpn.py
  class TridentRPN (line 10) | class TridentRPN(RPN):
    method __init__ (line 15) | def __init__(self, cfg, input_shape):
    method forward (line 21) | def forward(self, images, features, gt_instances=None):

FILE: VPS_Module/setup.py
  function get_version (line 17) | def get_version():
  function get_extensions (line 40) | def get_extensions():
  function get_model_zoo_configs (line 106) | def get_model_zoo_configs() -> List[str]:

FILE: VPS_Module/tools/2_matching.py
  function _filter_thing (line 12) | def _filter_thing(ps_map):
  function _ids_to_counts (line 20) | def _ids_to_counts(id_array):

FILE: VPS_Module/tools/3_preparing.py
  function generate_json (line 13) | def generate_json(filelist, scene_id, path, target_dir, json_file):

FILE: VPS_Module/tools/4_eval_vpq.py
  class PQStatCat (line 22) | class PQStatCat():
    method __init__ (line 23) | def __init__(self):
    method __iadd__ (line 29) | def __iadd__(self, pq_stat_cat):
  class PQStat (line 36) | class PQStat():
    method __init__ (line 37) | def __init__(self):
    method __getitem__ (line 40) | def __getitem__(self, i):
    method __iadd__ (line 43) | def __iadd__(self, pq_stat):
    method pq_average (line 48) | def pq_average(self, categories, isthing):
  function vpq_compute_single_core (line 76) | def vpq_compute_single_core(gt_pred_set, categories, nframes=2):
  function vpq_compute (line 220) | def vpq_compute(gt_pred_split, categories, nframes, output_dir):
  function cal_vpq_compute (line 256) | def cal_vpq_compute(gt_json, pred_json, gt_folder, pred_folder, output_d...

FILE: VPS_Module/tools/analyze_model.py
  function setup (line 25) | def setup(args):
  function do_flop (line 40) | def do_flop(cfg):
  function do_activation (line 71) | def do_activation(cfg):
  function do_parameter (line 100) | def do_parameter(cfg):
  function do_structure (line 108) | def do_structure(cfg):

FILE: VPS_Module/tools/benchmark.py
  function setup (line 36) | def setup(args):
  function create_data_benchmark (line 50) | def create_data_benchmark(cfg, args):
  function RAM_msg (line 62) | def RAM_msg():
  function benchmark_data (line 69) | def benchmark_data(args):
  function benchmark_data_advanced (line 81) | def benchmark_data_advanced(args):
  function benchmark_train (line 97) | def benchmark_train(args):
  function benchmark_eval (line 134) | def benchmark_eval(args):

FILE: VPS_Module/tools/deploy/export_model.py
  function setup_cfg (line 24) | def setup_cfg(args):
  function export_caffe2_tracing (line 35) | def export_caffe2_tracing(cfg, torch_model, inputs):
  function export_scripting (line 58) | def export_scripting(torch_model):
  function export_tracing (line 103) | def export_tracing(torch_model, inputs):
  function get_sample_inputs (line 149) | def get_sample_inputs(args):

FILE: VPS_Module/tools/deploy/torchscript_mask_rcnn.cpp
  function get_caffe2_tracing_inputs (line 22) | c10::IValue get_caffe2_tracing_inputs(cv::Mat& img, c10::Device device) {
  function get_tracing_inputs (line 41) | c10::IValue get_tracing_inputs(cv::Mat& img, c10::Device device) {
  function get_scripting_inputs (line 54) | c10::IValue get_scripting_inputs(cv::Mat& img, c10::Device device) {
  function get_inputs (line 69) | c10::IValue
  type MaskRCNNOutputs (line 81) | struct MaskRCNNOutputs {
    method num_instances (line 83) | int num_instances() const {
  function MaskRCNNOutputs (line 88) | MaskRCNNOutputs get_outputs(std::string export_method, c10::IValue outpu...
    method num_instances (line 83) | int num_instances() const {
  function main (line 122) | int main(int argc, const char* argv[]) {

FILE: VPS_Module/tools/lazyconfig_train_net.py
  function do_test (line 35) | def do_test(cfg, model):
  function do_train (line 44) | def do_train(args, cfg):
  function main (line 107) | def main(args):

FILE: VPS_Module/tools/lightning_train_net.py
  class TrainingModule (line 42) | class TrainingModule(LightningModule):
    method __init__ (line 43) | def __init__(self, cfg):
    method on_save_checkpoint (line 54) | def on_save_checkpoint(self, checkpoint: Dict[str, Any]) -> None:
    method on_load_checkpoint (line 57) | def on_load_checkpoint(self, checkpointed_state: Dict[str, Any]) -> None:
    method setup (line 61) | def setup(self, stage: str):
    method training_step (line 77) | def training_step(self, batch, batch_idx):
    method training_step_end (line 109) | def training_step_end(self, training_step_outpus):
    method training_epoch_end (line 113) | def training_epoch_end(self, training_step_outputs):
    method _process_dataset_evaluation_results (line 122) | def _process_dataset_evaluation_results(self) -> OrderedDict:
    method _reset_dataset_evaluators (line 133) | def _reset_dataset_evaluators(self):
    method on_validation_epoch_start (line 140) | def on_validation_epoch_start(self, _outputs):
    method validation_epoch_end (line 143) | def validation_epoch_end(self, _outputs):
    method validation_step (line 157) | def validation_step(self, batch, batch_idx: int, dataloader_idx: int =...
    method configure_optimizers (line 163) | def configure_optimizers(self):
  class DataModule (line 170) | class DataModule(LightningDataModule):
    method __init__ (line 171) | def __init__(self, cfg):
    method train_dataloader (line 175) | def train_dataloader(self):
    method val_dataloader (line 178) | def val_dataloader(self):
  function main (line 185) | def main(args):
  function train (line 190) | def train(cfg, args):
  function setup (line 223) | def setup(args):

FILE: VPS_Module/tools/plain_train_net.py
  function get_evaluator (line 56) | def get_evaluator(cfg, dataset_name, output_folder=None):
  function do_test (line 102) | def do_test(cfg, model):
  function do_train (line 119) | def do_train(cfg, model, resume=False):
  function setup (line 178) | def setup(args):
  function main (line 192) | def main(args):

FILE: VPS_Module/tools/train_net.py
  function build_evaluator (line 48) | def build_evaluator(cfg, dataset_name, output_folder=None):
  class Trainer (line 94) | class Trainer(DefaultTrainer):
    method build_evaluator (line 103) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method build_train_loader (line 107) | def build_train_loader(cls, cfg):
    method test_with_TTA (line 117) | def test_with_TTA(cls, cfg, model):
  function setup (line 134) | def setup(args):
  function main (line 146) | def main(args):

FILE: VPS_Module/tools/visualize_data.py
  function setup (line 17) | def setup(args):
  function parse_args (line 27) | def parse_args(in_args=None):
  function output (line 57) | def output(vis, fname):

FILE: VPS_Module/tools/visualize_json_results.py
  function create_instances (line 19) | def create_instances(predictions, image_size):
  function dataset_id_map (line 64) | def dataset_id_map(ds_id):
  function dataset_id_map (line 70) | def dataset_id_map(ds_id):