SYMBOL INDEX (78 symbols across 8 files)

FILE: augs.py
  class Compose (line 18) | class Compose(object):
    method __init__ (line 23) | def __init__(self, transforms):
    method __call__ (line 26) | def __call__(self, rgb, lidar, depth):
  class Norm (line 32) | class Norm(object):
    method __init__ (line 37) | def __init__(self, mean, std):
    method __call__ (line 41) | def __call__(self, rgb, lidar, depth):
  class Jitter (line 46) | class Jitter(object):
    method __call__ (line 51) | def __call__(self, rgb, lidar, depth):
  class Flip (line 57) | class Flip(object):
    method __call__ (line 62) | def __call__(self, rgb, lidar, depth):
  function compute_pca (line 71) | def compute_pca(image):
  function add_pca_jitter (line 84) | def add_pca_jitter(img_data, pca):

FILE: criteria.py
  class RMSE (line 17) | class RMSE(nn.Module):
    method __init__ (line 19) | def __init__(self):
    method forward (line 22) | def forward(self, outputs, target, *args):
  class MSE (line 30) | class MSE(nn.Module):
    method __init__ (line 32) | def __init__(self):
    method forward (line 35) | def forward(self, outputs, target, *args):

FILE: datasets.py
  class kitti (line 19) | class kitti(data.Dataset):
    method __init__ (line 24) | def __init__(self, path='../datas/kitti', mode='train', height=256, wi...
    method __len__ (line 56) | def __len__(self):
    method __getitem__ (line 59) | def __getitem__(self, index):
    method pull_RGB (line 94) | def pull_RGB(self, path):
    method pull_DEPTH (line 98) | def pull_DEPTH(self, path):

FILE: exts/guideconv.cpp
  function Conv2dLocal_F (line 18) | at::Tensor Conv2dLocal_F(
  function Conv2dLocal_B (line 35) | std::tuple <at::Tensor, at::Tensor> Conv2dLocal_B(
  function PYBIND11_MODULE (line 54) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m

FILE: models.py
  function Conv1x1 (line 22) | def Conv1x1(in_planes, out_planes, stride=1):
  function Conv3x3 (line 27) | def Conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
  class Conv2dLocal_F (line 33) | class Conv2dLocal_F(Function):
    method forward (line 35) | def forward(ctx, input, weight):
    method backward (line 41) | def backward(ctx, grad_output):
  class Conv2dLocal (line 48) | class Conv2dLocal(nn.Module):
    method __init__ (line 49) | def __init__(self, ):
    method forward (line 52) | def forward(self, input, weight):
  class Basic2d (line 57) | class Basic2d(nn.Module):
    method __init__ (line 58) | def __init__(self, in_channels, out_channels, norm_layer=None, kernel_...
    method forward (line 71) | def forward(self, x):
  class Basic2dTrans (line 76) | class Basic2dTrans(nn.Module):
    method __init__ (line 77) | def __init__(self, in_channels, out_channels, norm_layer=None):
    method forward (line 86) | def forward(self, x):
  class Basic2dLocal (line 93) | class Basic2dLocal(nn.Module):
    method __init__ (line 94) | def __init__(self, out_channels, norm_layer=None):
    method forward (line 103) | def forward(self, input, weight):
  class Guide (line 110) | class Guide(nn.Module):
    method __init__ (line 112) | def __init__(self, input_planes, weight_planes, norm_layer=None, weigh...
    method forward (line 128) | def forward(self, input, weight):
  class BasicBlock (line 143) | class BasicBlock(nn.Module):
    method __init__ (line 147) | def __init__(self, inplanes, planes, stride=1, downsample=None, norm_l...
    method forward (line 160) | def forward(self, x):
  class GuideNet (line 175) | class GuideNet(nn.Module):
    method __init__ (line 181) | def __init__(self, block=BasicBlock, bc=16, img_layers=[2, 2, 2, 2, 2],
    method forward (line 236) | def forward(self, img, lidar):
    method _make_layer (line 277) | def _make_layer(self, block, planes, blocks, stride=1):
    method _initialize_weights (line 294) | def _initialize_weights(self):
  function GN (line 313) | def GN():
  function GNS (line 317) | def GNS():

FILE: test.py
  function test (line 17) | def test():

FILE: train.py
  function train (line 14) | def train(epoch):
  function test (line 33) | def test():

FILE: utils.py
  class AverageMeter (line 37) | class AverageMeter(object):
    method __init__ (line 38) | def __init__(self):
    method reset (line 41) | def reset(self):
    method update (line 47) | def update(self, val, n=1):
  function config_param (line 54) | def config_param(model):
  function save_state (line 67) | def save_state(config, model):
  function resume_state (line 79) | def resume_state(config, model):
  function pad_rep (line 87) | def pad_rep(image, ori_size):
  function save_result (line 97) | def save_result(config, depths, names, ori_sizes=None):
  function init_seed (line 111) | def init_seed(config):
  function init_net (line 122) | def init_net(config):
  function init_loss (line 126) | def init_loss(config):
  function init_metric (line 130) | def init_metric(config):
  function init_aug (line 134) | def init_aug(aug_config):
  function init_dataset (line 146) | def init_dataset(config):
  function init_cuda (line 163) | def init_cuda(net, criterion, metric):
  function init_optim (line 175) | def init_optim(config, net):
  function init_lr_scheduler (line 180) | def init_lr_scheduler(config, optimizer):