SYMBOL INDEX (146 symbols across 19 files)

FILE: datasets/cifar100.py
  class Cifar100 (line 13) | class Cifar100(Dataset):
    method __init__ (line 14) | def __init__(self, root_path, split='train', image_size=32,
    method __len__ (line 62) | def __len__(self):
    method __getitem__ (line 65) | def __getitem__(self, index):
  class MetaCifar100 (line 71) | class MetaCifar100(Cifar100):
    method __init__ (line 72) | def __init__(self, root_path, split='train', image_size=32,
    method __len__ (line 90) | def __len__(self):
    method __getitem__ (line 93) | def __getitem__(self, index):
  class CifarFS (line 118) | class CifarFS(Cifar100):
    method __init__ (line 119) | def __init__(self, *args):
  class MetaCifarFS (line 124) | class MetaCifarFS(MetaCifar100):
    method __init__ (line 125) | def __init__(self, *args):
  class FC100 (line 130) | class FC100(Cifar100):
    method __init__ (line 131) | def __init__(self, *args):
  class MetaFC100 (line 136) | class MetaFC100(MetaCifar100):
    method __init__ (line 137) | def __init__(self, *args):

FILE: datasets/cub200.py
  class CUB200 (line 13) | class CUB200(Dataset):
    method __init__ (line 14) | def __init__(self, root_path, split='train', image_size=84,
    method _load_image (line 59) | def _load_image(self, index):
    method __len__ (line 65) | def __len__(self):
    method __getitem__ (line 68) | def __getitem__(self, index):
  class MetaCUB200 (line 75) | class MetaCUB200(CUB200):
    method __init__ (line 76) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 94) | def __len__(self):
    method __getitem__ (line 97) | def __getitem__(self, index):

FILE: datasets/datasets.py
  function register (line 9) | def register(name):
  function make (line 16) | def make(name, **kwargs):
  function collate_fn (line 23) | def collate_fn(batch):

FILE: datasets/inatural.py
  class INat2017 (line 13) | class INat2017(Dataset):
    method __init__ (line 14) | def __init__(self, root_path, split='train', image_size=84,
    method _load_image (line 59) | def _load_image(self, index):
    method __len__ (line 65) | def __len__(self):
    method __getitem__ (line 68) | def __getitem__(self, index):
  class MetaINat2017 (line 75) | class MetaINat2017(INat2017):
    method __init__ (line 76) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 94) | def __len__(self):
    method __getitem__ (line 97) | def __getitem__(self, index):

FILE: datasets/mini_imagenet.py
  class MiniImageNet (line 14) | class MiniImageNet(Dataset):
    method __init__ (line 15) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 64) | def __len__(self):
    method __getitem__ (line 67) | def __getitem__(self, index):
  class MetaMiniImageNet (line 74) | class MetaMiniImageNet(MiniImageNet):
    method __init__ (line 75) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 93) | def __len__(self):
    method __getitem__ (line 96) | def __getitem__(self, index):

FILE: datasets/tiered_imagenet.py
  class TieredImageNet (line 14) | class TieredImageNet(Dataset):
    method __init__ (line 15) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 65) | def __len__(self):
    method __getitem__ (line 68) | def __getitem__(self, index):
  class MetaTieredImageNet (line 75) | class MetaTieredImageNet(TieredImageNet):
    method __init__ (line 76) | def __init__(self, root_path, split='train', image_size=84,
    method __len__ (line 94) | def __len__(self):
    method __getitem__ (line 97) | def __getitem__(self, index):

FILE: datasets/transforms.py
  function get_transform (line 7) | def get_transform(name, image_size, norm_params):

FILE: models/classifiers/classifiers.py
  function register (line 9) | def register(name):
  function make (line 16) | def make(name, **kwargs):
  function load (line 25) | def load(ckpt):

FILE: models/classifiers/logistic.py
  class LogisticClassifier (line 12) | class LogisticClassifier(Module):
    method __init__ (line 13) | def __init__(self, in_dim, n_way, temp=1., learn_temp=False):
    method reset_parameters (line 24) | def reset_parameters(self):
    method forward (line 28) | def forward(self, x_shot, params=None):

FILE: models/encoders/convnet4.py
  class ConvBlock (line 12) | class ConvBlock(Module):
    method __init__ (line 13) | def __init__(self, in_channels, out_channels, bn_args):
    method forward (line 23) | def forward(self, x, params=None, episode=None):
  class ConvNet4 (line 30) | class ConvNet4(Module):
    method __init__ (line 31) | def __init__(self, hid_dim, out_dim, bn_args):
    method get_out_dim (line 54) | def get_out_dim(self, scale=25):
    method forward (line 57) | def forward(self, x, params=None, episode=None):
  function convnet4 (line 64) | def convnet4(bn_args=dict()):
  function wide_convnet4 (line 69) | def wide_convnet4(bn_args=dict()):

FILE: models/encoders/encoders.py
  function register (line 6) | def register(name):
  function make (line 13) | def make(name, **kwargs):
  function load (line 22) | def load(ckpt):

FILE: models/encoders/resnet12.py
  function conv3x3 (line 12) | def conv3x3(in_channels, out_channels):
  function conv1x1 (line 16) | def conv1x1(in_channels, out_channels):
  class Block (line 20) | class Block(Module):
    method __init__ (line 21) | def __init__(self, in_planes, planes, bn_args):
    method forward (line 41) | def forward(self, x, params=None, episode=None):
  class ResNet12 (line 58) | class ResNet12(Module):
    method __init__ (line 59) | def __init__(self, channels, bn_args):
    method get_out_dim (line 90) | def get_out_dim(self):
    method forward (line 93) | def forward(self, x, params=None, episode=None):
  function resnet12 (line 103) | def resnet12(bn_args=dict()):
  function wide_resnet12 (line 108) | def wide_resnet12(bn_args=dict()):

FILE: models/encoders/resnet18.py
  function conv3x3 (line 12) | def conv3x3(in_channels, out_channels, stride=1):
  function conv1x1 (line 16) | def conv1x1(in_channels, out_channels, stride=1):
  class Block (line 20) | class Block(Module):
    method __init__ (line 21) | def __init__(self, in_planes, planes, stride, bn_args):
    method forward (line 40) | def forward(self, x, params=None, episode=None):
  class ResNet18 (line 54) | class ResNet18(Module):
    method __init__ (line 55) | def __init__(self, channels, bn_args):
    method get_out_dim (line 91) | def get_out_dim(self, scale=1):
    method forward (line 94) | def forward(self, x, params=None, episode=None):
  function resnet18 (line 106) | def resnet18(bn_args=dict()):
  function wide_resnet18 (line 111) | def wide_resnet18(bn_args=dict()):

FILE: models/maml.py
  function make (line 13) | def make(enc_name, enc_args, clf_name, clf_args):
  function load (line 33) | def load(ckpt, load_clf=False, clf_name=None, clf_args=None):
  class MAML (line 61) | class MAML(Module):
    method __init__ (line 62) | def __init__(self, encoder, classifier):
    method reset_classifier (line 67) | def reset_classifier(self):
    method _inner_forward (line 70) | def _inner_forward(self, x, params, episode):
    method _inner_iter (line 76) | def _inner_iter(self, x, y, params, mom_buffer, episode, inner_args, d...
    method _adapt (line 126) | def _adapt(self, x, y, params, episode, inner_args, meta_train):
    method forward (line 190) | def forward(self, x_shot, x_query, y_shot, inner_args, meta_train):

FILE: models/modules.py
  function get_child_dict (line 13) | def get_child_dict(params, key=None):
  class Module (line 38) | class Module(nn.Module):
    method __init__ (line 39) | def __init__(self):
    method go_efficient (line 44) | def go_efficient(self, mode=True):
    method is_first_pass (line 51) | def is_first_pass(self, mode=True):
  class Conv2d (line 60) | class Conv2d(nn.Conv2d, Module):
    method __init__ (line 61) | def __init__(self, in_channels, out_channels, kernel_size,
    method forward (line 66) | def forward(self, x, params=None, episode=None):
  class Linear (line 79) | class Linear(nn.Linear, Module):
    method __init__ (line 80) | def __init__(self, in_features, out_features, bias=True):
    method forward (line 83) | def forward(self, x, params=None, episode=None):
  class BatchNorm2d (line 96) | class BatchNorm2d(nn.BatchNorm2d, Module):
    method __init__ (line 97) | def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True,
    method is_episodic (line 132) | def is_episodic(self):
    method _batch_norm (line 135) | def _batch_norm(self, x, mean, var, weight=None, bias=None):
    method reset_episodic_running_stats (line 145) | def reset_episodic_running_stats(self, episode):
    method forward (line 151) | def forward(self, x, params=None, episode=None):
  class Sequential (line 207) | class Sequential(nn.Sequential, Module):
    method __init__ (line 208) | def __init__(self, *args):
    method forward (line 211) | def forward(self, x, params=None, episode=None):

FILE: test.py
  function main (line 16) | def main(config):

FILE: train.py
  function main (line 21) | def main(config):

FILE: utils/__init__.py
  function set_log_path (line 11) | def set_log_path(path):
  function log (line 16) | def log(obj, filename='log.txt'):
  class AverageMeter (line 23) | class AverageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
    method item (line 39) | def item(self):
  class Timer (line 43) | class Timer(object):
    method __init__ (line 44) | def __init__(self):
    method start (line 47) | def start(self):
    method end (line 50) | def end(self):
  function set_gpu (line 54) | def set_gpu(gpu):
  function ensure_path (line 59) | def ensure_path(path, remove=True):
  function time_str (line 70) | def time_str(t):
  function compute_acc (line 78) | def compute_acc(pred, label, reduction='mean'):
  function compute_n_params (line 86) | def compute_n_params(model, return_str=True):
  function mean_confidence_interval (line 99) | def mean_confidence_interval(data, confidence=0.95):
  function config_inner_args (line 106) | def config_inner_args(inner_args):

FILE: utils/optimizers.py
  function make (line 5) | def make(name, params, lr, weight_decay=0.,
  function load (line 43) | def load(ckpt, params):