SYMBOL INDEX (54 symbols across 6 files)

FILE: cornet/__init__.py
  function get_model (line 14) | def get_model(model_letter, pretrained=False, map_location=None, **kwargs):
  function cornet_z (line 26) | def cornet_z(pretrained=False, map_location=None):
  function cornet_r (line 30) | def cornet_r(pretrained=False, map_location=None, times=5):
  function cornet_rt (line 34) | def cornet_rt(pretrained=False, map_location=None, times=5):
  function cornet_s (line 38) | def cornet_s(pretrained=False, map_location=None):

FILE: cornet/cornet_r.py
  class Flatten (line 9) | class Flatten(nn.Module):
    method forward (line 15) | def forward(self, x):
  class Identity (line 19) | class Identity(nn.Module):
    method forward (line 25) | def forward(self, x):
  class CORblock_R (line 29) | class CORblock_R(nn.Module):
    method __init__ (line 31) | def __init__(self, in_channels, out_channels, kernel_size=3, stride=1,...
    method forward (line 50) | def forward(self, inp=None, state=None, batch_size=None):
  class CORnet_R (line 73) | class CORnet_R(nn.Module):
    method __init__ (line 75) | def __init__(self, times=5):
    method forward (line 89) | def forward(self, inp):

FILE: cornet/cornet_rt.py
  class Flatten (line 9) | class Flatten(nn.Module):
    method forward (line 15) | def forward(self, x):
  class Identity (line 19) | class Identity(nn.Module):
    method forward (line 25) | def forward(self, x):
  class CORblock_RT (line 29) | class CORblock_RT(nn.Module):
    method __init__ (line 31) | def __init__(self, in_channels, out_channels, kernel_size=3, stride=1,...
    method forward (line 50) | def forward(self, inp=None, state=None, batch_size=None):
  class CORnet_RT (line 73) | class CORnet_RT(nn.Module):
    method __init__ (line 75) | def __init__(self, times=5):
    method forward (line 89) | def forward(self, inp):

FILE: cornet/cornet_s.py
  class Flatten (line 9) | class Flatten(nn.Module):
    method forward (line 15) | def forward(self, x):
  class Identity (line 19) | class Identity(nn.Module):
    method forward (line 25) | def forward(self, x):
  class CORblock_S (line 29) | class CORblock_S(nn.Module):
    method __init__ (line 33) | def __init__(self, in_channels, out_channels, times=1):
    method forward (line 63) | def forward(self, inp):
  function CORnet_S (line 92) | def CORnet_S():

FILE: cornet/cornet_z.py
  class Flatten (line 8) | class Flatten(nn.Module):
    method forward (line 14) | def forward(self, x):
  class Identity (line 18) | class Identity(nn.Module):
    method forward (line 24) | def forward(self, x):
  class CORblock_Z (line 28) | class CORblock_Z(nn.Module):
    method __init__ (line 30) | def __init__(self, in_channels, out_channels, kernel_size=3, stride=1):
    method forward (line 38) | def forward(self, inp):
  function CORnet_Z (line 46) | def CORnet_Z():

FILE: run.py
  function set_gpus (line 54) | def set_gpus(n=1):
  function get_model (line 77) | def get_model(pretrained=False):
  function train (line 92) | def train(restore_path=None,  # useful when you want to restart training
  function test (line 180) | def test(layer='decoder', sublayer='avgpool', time_step=0, imsize=224):
  class ImageNetTrain (line 236) | class ImageNetTrain(object):
    method __init__ (line 238) | def __init__(self, model):
    method data (line 251) | def data(self):
    method __call__ (line 267) | def __call__(self, frac_epoch, inp, target):
  class ImageNetVal (line 291) | class ImageNetVal(object):
    method __init__ (line 293) | def __init__(self, model):
    method data (line 301) | def data(self):
    method __call__ (line 318) | def __call__(self):
  function accuracy (line 340) | def accuracy(output, target, topk=(1,)):