SYMBOL INDEX (78 symbols across 16 files)

FILE: LocallyConnected2d.py
  class LocallyConnected2d (line 30) | class LocallyConnected2d(nn.Module):
    method __init__ (line 31) | def __init__(self, in_channels, out_channels, output_size, kernel_size...
    method forward (line 46) | def forward(self, x):

FILE: adaptive_batchnorm.py
  class AdaptiveBatchNorm2d (line 24) | class AdaptiveBatchNorm2d(nn.Module):
    method __init__ (line 29) | def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True):
    method forward (line 35) | def forward(self, x):
  class MyNet (line 39) | class MyNet(nn.Module):
    method __init__ (line 40) | def __init__(self):
    method forward (line 53) | def forward(self, x):
  function train (line 62) | def train(epoch):
  function test (line 77) | def test():

FILE: adaptive_pooling_torchvision.py
  function size_hook (line 35) | def size_hook(module, input, output):

FILE: batch_norm_manual.py
  function compare_bn (line 12) | def compare_bn(bn1, bn2):
  class MyBatchNorm2d (line 39) | class MyBatchNorm2d(nn.BatchNorm2d):
    method __init__ (line 40) | def __init__(self, num_features, eps=1e-5, momentum=0.1,
    method forward (line 45) | def forward(self, input):

FILE: change_crop_in_dataset.py
  class MyDataset (line 15) | class MyDataset(Dataset):
    method __init__ (line 16) | def __init__(self):
    method __getitem__ (line 20) | def __getitem__(self, index):
    method set_stage (line 28) | def set_stage(self, stage):
    method __len__ (line 36) | def __len__(self):

FILE: conv_rnn.py
  class MyModel (line 14) | class MyModel(nn.Module):
    method __init__ (line 15) | def __init__(self, window=16):
    method forward (line 37) | def forward(self, x):
  class MyDataset (line 52) | class MyDataset(Dataset):
    method __init__ (line 56) | def __init__(self, frames=512):
    method __getitem__ (line 60) | def __getitem__(self, index):
    method __len__ (line 65) | def __len__(self):

FILE: csv_chunk_read.py
  class CSVDataset (line 21) | class CSVDataset(Dataset):
    method __init__ (line 22) | def __init__(self, path, chunksize, nb_samples):
    method __getitem__ (line 27) | def __getitem__(self, index):
    method __len__ (line 40) | def __len__(self):

FILE: densenet_forwardhook.py
  function get_activation (line 16) | def get_activation(name):

FILE: mnist_autoencoder.py
  class MyModel (line 22) | class MyModel(nn.Module):
    method __init__ (line 23) | def __init__(self):
    method forward (line 33) | def forward(self, x):
  function normalize_output (line 68) | def normalize_output(img):
  function get_activation (line 84) | def get_activation(name):

FILE: mnist_permuted.py
  function shuffle_image (line 23) | def shuffle_image(tensor):
  class MyModel (line 56) | class MyModel(nn.Module):
    method __init__ (line 57) | def __init__(self):
    method forward (line 66) | def forward(self, x):
  function train (line 76) | def train():
  function test (line 97) | def test():

FILE: model_sharding_data_parallel.py
  class SubModule (line 11) | class SubModule(nn.Module):
    method __init__ (line 12) | def __init__(self, in_channels, out_channels):
    method forward (line 16) | def forward(self, x):
  class MyModel (line 22) | class MyModel(nn.Module):
    method __init__ (line 23) | def __init__(self, split_gpus, parallel):
    method forward (line 34) | def forward(self, x):

FILE: momentum_update_nograd.py
  class MyModel (line 27) | class MyModel(nn.Module):
    method __init__ (line 28) | def __init__(self):
    method forward (line 34) | def forward(self, x, decoder_idx):

FILE: pytorch_redis.py
  class RedisDataset (line 29) | class RedisDataset(Dataset):
    method __init__ (line 30) | def __init__(self,
    method __getitem__ (line 41) | def __getitem__(self, index):
    method __len__ (line 51) | def __len__(self):

FILE: shared_array.py
  class MyDataset (line 20) | class MyDataset(Dataset):
    method __init__ (line 21) | def __init__(self):
    method set_use_cache (line 28) | def set_use_cache(self, use_cache):
    method __getitem__ (line 31) | def __getitem__(self, index):
    method __len__ (line 39) | def __len__(self):

FILE: shared_dict.py
  class MyDataset (line 17) | class MyDataset(Dataset):
    method __init__ (line 18) | def __init__(self, shared_dict, length):
    method __getitem__ (line 22) | def __getitem__(self, index):
    method __len__ (line 28) | def __len__(self):

FILE: unet_demo.py
  class BaseConv (line 13) | class BaseConv(nn.Module):
    method __init__ (line 14) | def __init__(self, in_channels, out_channels, kernel_size, padding,
    method forward (line 26) | def forward(self, x):
  class DownConv (line 32) | class DownConv(nn.Module):
    method __init__ (line 33) | def __init__(self, in_channels, out_channels, kernel_size, padding,
    method forward (line 41) | def forward(self, x):
  class UpConv (line 47) | class UpConv(nn.Module):
    method __init__ (line 48) | def __init__(self, in_channels, in_channels_skip, out_channels,
    method forward (line 61) | def forward(self, x, x_skip):
  class UNet (line 68) | class UNet(nn.Module):
    method __init__ (line 69) | def __init__(self, in_channels, out_channels, n_class, kernel_size,
    method forward (line 96) | def forward(self, x):