SYMBOL INDEX (44 symbols across 4 files)

FILE: parameters.py
  function get_parameters (line 6) | def get_parameters():

FILE: sagan_models.py
  function init_weights (line 10) | def init_weights(m):
  function snconv2d (line 16) | def snconv2d(in_channels, out_channels, kernel_size, stride=1, padding=0...
  function snlinear (line 21) | def snlinear(in_features, out_features):
  function sn_embedding (line 25) | def sn_embedding(num_embeddings, embedding_dim):
  class Self_Attn (line 29) | class Self_Attn(nn.Module):
    method __init__ (line 32) | def __init__(self, in_channels):
    method forward (line 43) | def forward(self, x):
  class ConditionalBatchNorm2d (line 75) | class ConditionalBatchNorm2d(nn.Module):
    method __init__ (line 77) | def __init__(self, num_features, num_classes):
    method forward (line 86) | def forward(self, x, y):
  class GenBlock (line 93) | class GenBlock(nn.Module):
    method __init__ (line 94) | def __init__(self, in_channels, out_channels, num_classes):
    method forward (line 103) | def forward(self, x, labels):
  class Generator (line 121) | class Generator(nn.Module):
    method __init__ (line 124) | def __init__(self, z_dim, g_conv_dim, num_classes):
    method forward (line 144) | def forward(self, z, labels):
  class DiscOptBlock (line 161) | class DiscOptBlock(nn.Module):
    method __init__ (line 162) | def __init__(self, in_channels, out_channels):
    method forward (line 170) | def forward(self, x):
  class DiscBlock (line 185) | class DiscBlock(nn.Module):
    method __init__ (line 186) | def __init__(self, in_channels, out_channels):
    method forward (line 197) | def forward(self, x, downsample=True):
  class Discriminator (line 216) | class Discriminator(nn.Module):
    method __init__ (line 219) | def __init__(self, d_conv_dim, num_classes):
    method forward (line 237) | def forward(self, x, labels):

FILE: trainer.py
  class Trainer (line 17) | class Trainer(object):
    method __init__ (line 19) | def __init__(self, config):
    method train (line 61) | def train(self):
    method build_models (line 278) | def build_models(self):
    method reset_grad (line 299) | def reset_grad(self):
    method get_real_samples (line 303) | def get_real_samples(self):
    method compute_gradient_penalty (line 313) | def compute_gradient_penalty(self, real_images, real_labels, fake_imag...

FILE: utils.py
  function make_folder (line 16) | def make_folder(path):
  function denorm (line 21) | def denorm(x):
  function write_config_to_file (line 26) | def write_config_to_file(config, save_path):
  function copy_scripts (line 32) | def copy_scripts(dst):
  function make_transform (line 41) | def make_transform(resize=True, imsize=128, centercrop=False, centercrop...
  function make_dataloader (line 56) | def make_dataloader(batch_size, dataset_type, data_path, shuffle=True, d...
  function make_gif (line 85) | def make_gif(image, iteration_number, save_path, model_name, max_frames_...
  function make_plots (line 117) | def make_plots(G_losses, D_losses, D_losses_real, D_losses_fake, D_xs, D...
  function save_ckpt (line 148) | def save_ckpt(sagan_obj, model=False, final=False):
  function load_pretrained_model (line 189) | def load_pretrained_model(sagan_obj):
  function check_for_CUDA (line 224) | def check_for_CUDA(sagan_obj):