SYMBOL INDEX (66 symbols across 13 files)

FILE: cGAN/config.py
  class config_train (line 3) | class config_train(object):
  class config_test (line 36) | class config_test(object):
  class directories (line 69) | class directories(object):

FILE: cGAN/data.py
  class Data (line 7) | class Data(object):
    method load_dataframe (line 10) | def load_dataframe(filename, load_semantic_maps=False):
    method load_dataset (line 19) | def load_dataset(image_paths, batch_size, test=False, augment=False, d...
    method load_cGAN_dataset (line 86) | def load_cGAN_dataset(image_paths, semantic_map_paths, batch_size, tes...
    method load_inference (line 128) | def load_inference(filenames, labels, batch_size, resize=(32,32)):

FILE: cGAN/model.py
  class Model (line 12) | class Model():
    method __init__ (line 13) | def __init__(self, config, paths, dataset, name='gan_compression', eva...

FILE: cGAN/network.py
  class Network (line 7) | class Network(object):
    method encoder (line 10) | def encoder(x, config, training, C, reuse=False, actv=tf.nn.relu, scop...
    method quantizer (line 49) | def quantizer(w, config, reuse=False, temperature=1, L=5, scope='image'):
    method decoder (line 73) | def decoder(w_bar, config, training, C, reuse=False, actv=tf.nn.relu, ...
    method discriminator (line 152) | def discriminator(x, config, training, reuse=False, actv=tf.nn.leaky_r...
    method multiscale_discriminator (line 178) | def multiscale_discriminator(x, config, training, actv=tf.nn.leaky_rel...
    method dcgan_generator (line 223) | def dcgan_generator(z, config, training, C, reuse=False, actv=tf.nn.re...
    method dcgan_discriminator (line 261) | def dcgan_discriminator(x, config, training, reuse=False, actv=tf.nn.r...
    method critic_grande (line 291) | def critic_grande(x, config, training, reuse=False, actv=tf.nn.relu, k...
    method wrn (line 327) | def wrn(x, config, training, reuse=False, actv=tf.nn.relu):
    method old_encoder (line 432) | def old_encoder(x, config, training, C, reuse=False, actv=tf.nn.relu):

FILE: cGAN/train.py
  function train (line 17) | def train(config, args):
  function main (line 106) | def main(**kwargs):

FILE: cGAN/utils.py
  class Utils (line 14) | class Utils(object):
    method conv_block (line 17) | def conv_block(x, filters, kernel_size=[3,3], strides=2, padding='same...
    method upsample_block (line 26) | def upsample_block(x, filters, kernel_size=[3,3], strides=2, padding='...
    method residual_block (line 35) | def residual_block(x, n_filters, kernel_size=3, strides=1, actv=tf.nn....
    method get_available_gpus (line 58) | def get_available_gpus():
    method scope_variables (line 66) | def scope_variables(name):
    method run_diagnostics (line 71) | def run_diagnostics(model, config, directories, sess, saver, train_han...
    method single_plot (line 101) | def single_plot(epoch, global_step, sess, model, handle, name, config):
    method weight_decay (line 137) | def weight_decay(weight_decay, var_label='DW'):

FILE: compress.py
  function single_compress (line 17) | def single_compress(config, args):
  function main (line 66) | def main(**kwargs):

FILE: config.py
  class config_train (line 3) | class config_train(object):
  class config_test (line 36) | class config_test(object):
  class directories (line 69) | class directories(object):

FILE: data.py
  class Data (line 7) | class Data(object):
    method load_dataframe (line 10) | def load_dataframe(filename, load_semantic_maps=False):
    method load_dataset (line 19) | def load_dataset(image_paths, batch_size, test=False, augment=False, d...
    method load_cGAN_dataset (line 87) | def load_cGAN_dataset(image_paths, semantic_map_paths, batch_size, tes...
    method load_inference (line 129) | def load_inference(filenames, labels, batch_size, resize=(32,32)):

FILE: model.py
  class Model (line 12) | class Model():
    method __init__ (line 13) | def __init__(self, config, paths, dataset, name='gan_compression', eva...

FILE: network.py
  class Network (line 7) | class Network(object):
    method encoder (line 10) | def encoder(x, config, training, C, reuse=False, actv=tf.nn.relu, scop...
    method quantizer (line 49) | def quantizer(w, config, reuse=False, temperature=1, L=5, scope='image'):
    method decoder (line 73) | def decoder(w_bar, config, training, C, reuse=False, actv=tf.nn.relu, ...
    method discriminator (line 152) | def discriminator(x, config, training, reuse=False, actv=tf.nn.leaky_r...
    method multiscale_discriminator (line 178) | def multiscale_discriminator(x, config, training, actv=tf.nn.leaky_rel...
    method dcgan_generator (line 223) | def dcgan_generator(z, config, training, C, reuse=False, actv=tf.nn.re...
    method dcgan_discriminator (line 261) | def dcgan_discriminator(x, config, training, reuse=False, actv=tf.nn.r...
    method critic_grande (line 291) | def critic_grande(x, config, training, reuse=False, actv=tf.nn.relu, k...
    method wrn (line 327) | def wrn(x, config, training, reuse=False, actv=tf.nn.relu):
    method old_encoder (line 432) | def old_encoder(x, config, training, C, reuse=False, actv=tf.nn.relu):

FILE: train.py
  function train (line 17) | def train(config, args):
  function main (line 106) | def main(**kwargs):

FILE: utils.py
  class Utils (line 14) | class Utils(object):
    method conv_block (line 17) | def conv_block(x, filters, kernel_size=[3,3], strides=2, padding='same...
    method upsample_block (line 26) | def upsample_block(x, filters, kernel_size=[3,3], strides=2, padding='...
    method residual_block (line 35) | def residual_block(x, n_filters, kernel_size=3, strides=1, actv=tf.nn....
    method get_available_gpus (line 58) | def get_available_gpus():
    method scope_variables (line 66) | def scope_variables(name):
    method run_diagnostics (line 71) | def run_diagnostics(model, config, directories, sess, saver, train_han...
    method single_plot (line 101) | def single_plot(epoch, global_step, sess, model, handle, name, config,...
    method weight_decay (line 140) | def weight_decay(weight_decay, var_label='DW'):