SYMBOL INDEX (24 symbols across 4 files)

FILE: ResNetVAE_FACE.py
  function check_mkdir (line 36) | def check_mkdir(dir_name):
  function loss_function (line 41) | def loss_function(recon_x, x, mu, logvar):
  function train (line 48) | def train(log_interval, model, device, train_loader, optimizer, epoch):
  function validation (line 93) | def validation(model, device, optimizer, test_loader):

FILE: ResNetVAE_MNIST.py
  function check_mkdir (line 37) | def check_mkdir(dir_name):
  function loss_function (line 41) | def loss_function(recon_x, x, mu, logvar):
  function train (line 48) | def train(log_interval, model, device, train_loader, optimizer, epoch):
  function validation (line 91) | def validation(model, device, optimizer, test_loader):

FILE: ResNetVAE_cifar10.py
  function check_mkdir (line 36) | def check_mkdir(dir_name):
  function loss_function (line 41) | def loss_function(recon_x, x, mu, logvar):
  function train (line 48) | def train(log_interval, model, device, train_loader, optimizer, epoch):
  function validation (line 91) | def validation(model, device, optimizer, test_loader):

FILE: modules.py
  class Dataset (line 13) | class Dataset(data.Dataset):
    method __init__ (line 15) | def __init__(self, filenames, labels, transform=None):
    method __len__ (line 21) | def __len__(self):
    method __getitem__ (line 26) | def __getitem__(self, index):
  function conv2D_output_size (line 40) | def conv2D_output_size(img_size, padding, kernel_size, stride):
  function convtrans2D_output_size (line 46) | def convtrans2D_output_size(img_size, padding, kernel_size, stride):
  class ResNet_VAE (line 54) | class ResNet_VAE(nn.Module):
    method __init__ (line 55) | def __init__(self, fc_hidden1=1024, fc_hidden2=768, drop_p=0.3, CNN_em...
    method encode (line 107) | def encode(self, x):
    method reparameterize (line 120) | def reparameterize(self, mu, logvar):
    method decode (line 128) | def decode(self, z):
    method forward (line 137) | def forward(self, x):