SYMBOL INDEX (34 symbols across 5 files)

FILE: data_loader.py
  class ImageFolder (line 6) | class ImageFolder(data.Dataset):
    method __init__ (line 8) | def __init__(self, root, transform=None):
    method __getitem__ (line 13) | def __getitem__(self, index):
    method __len__ (line 21) | def __len__(self):
  function get_loader (line 26) | def get_loader(image_path, image_size, batch_size, num_workers=2):

FILE: logger.py
  class Logger (line 7) | class Logger(object):
    method __init__ (line 8) | def __init__(self, log_dir):
    method scalar_summary (line 12) | def scalar_summary(self, tag, value, step, scope=None):
    method images_summary (line 20) | def images_summary(self, tag, images, step):
    method histo_summary (line 27) | def histo_summary(self, tag, values, step, bins=1000):

FILE: main.py
  function str2bool (line 17) | def str2bool(v):
  function main (line 21) | def main(config, scope):

FILE: model.py
  class Generator (line 7) | class Generator(nn.Module):
    method __init__ (line 9) | def __init__(self, image_size=64, z_dim=256, conv_dim=64, code_dim=16,...
    method init_weights (line 55) | def init_weights(self):
    method forward (line 59) | def forward(self, x):
    method bwd (line 99) | def bwd(self):
    method decode (line 102) | def decode(self, z):

FILE: solver.py
  class Solver (line 9) | class Solver(object):
    method __init__ (line 11) | def __init__(self, data_loader, config):
    method build_model (line 52) | def build_model(self):
    method load_trained_model (line 60) | def load_trained_model(self):
    method load (line 65) | def load(self,filename):
    method build_tensorboard (line 69) | def build_tensorboard(self):
    method update_lr (line 73) | def update_lr(self, lr):
    method reset_grad (line 77) | def reset_grad(self):
    method to_var (line 80) | def to_var(self, x):
    method to_np (line 85) | def to_np(self, x):
    method denorm (line 88) | def denorm(self, x):
    method detach (line 92) | def detach(self, x):
    method train (line 95) | def train(self):
    method save (line 171) | def save(self, filename):
    method infer (line 175) | def infer(self, sample_size):
    method sample (line 190) | def sample(self):