SYMBOL INDEX (41 symbols across 3 files)

FILE: CUB-200-2011.py
  class VGG (line 65) | class VGG(nn.Module):
    method __init__ (line 66) | def __init__(self, vgg_name):
    method forward (line 71) | def forward(self, x):
    method _make_layers (line 77) | def _make_layers(self, cfg):
  function Mask (line 98) | def Mask(nb_batch, channels):
  function supervisor (line 113) | def supervisor(x,targets,height,cnum):
  class model_bn (line 133) | class model_bn(nn.Module):
    method __init__ (line 134) | def __init__(self, feature_size=512,classes_num=200):
    method forward (line 154) | def forward(self, x, targets):
  function train (line 193) | def train(epoch,net, args, trainloader,optimizer):
  function test (line 229) | def test(epoch,net,testloader,optimizer):
  function cosine_anneal_schedule (line 256) | def cosine_anneal_schedule(t):
  function get_params (line 272) | def get_params():

FILE: CUB-200-2011_ResNet18.py
  function conv3x3 (line 79) | def conv3x3(in_planes, out_planes, stride=1):
  class BasicBlock (line 85) | class BasicBlock(nn.Module):
    method __init__ (line 88) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 98) | def forward(self, x):
  class Bottleneck (line 117) | class Bottleneck(nn.Module):
    method __init__ (line 120) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 133) | def forward(self, x):
  class ResNet (line 156) | class ResNet(nn.Module):
    method __init__ (line 158) | def __init__(self, block, layers, num_classes=1000):
    method _make_layer (line 181) | def _make_layer(self, block, planes, blocks, stride=1):
  function resnet18 (line 200) | def resnet18(pretrained=False, **kwargs):
  function Mask (line 216) | def Mask(nb_batch, channels):
  function supervisor (line 231) | def supervisor(x,targets,height,cnum):
  class model_bn (line 251) | class model_bn(nn.Module):
    method __init__ (line 252) | def __init__(self, feature_size=512,classes_num=200):
    method forward (line 271) | def forward(self, x, targets):
  function train (line 309) | def train(epoch,net, args, trainloader,optimizer):
  function test (line 345) | def test(epoch,net,testloader,optimizer):
  function cosine_anneal_schedule (line 372) | def cosine_anneal_schedule(t):
  function get_params (line 387) | def get_params():

FILE: my_pooling.py
  class my_MaxPool2d (line 12) | class my_MaxPool2d(Module):
    method __init__ (line 15) | def __init__(self, kernel_size, stride=None, padding=0, dilation=1,
    method forward (line 25) | def forward(self, input):
    method __repr__ (line 36) | def __repr__(self):
  class my_AvgPool2d (line 52) | class my_AvgPool2d(Module):
    method __init__ (line 53) | def __init__(self, kernel_size, stride=None, padding=0, ceil_mode=False,
    method forward (line 62) | def forward(self, input):
    method __repr__ (line 71) | def __repr__(self):