SYMBOL INDEX (50 symbols across 5 files)

FILE: download.py
  function download_file_from_google_drive (line 24) | def download_file_from_google_drive(id, destination):
  function get_confirm_token (line 37) | def get_confirm_token(response):
  function save_response_content (line 43) | def save_response_content(response, destination, chunk_size=32*1024):
  function unzip (line 51) | def unzip(filepath):
  function download_celeb_a (line 58) | def download_celeb_a(dirpath):
  function _list_categories (line 82) | def _list_categories(tag):
  function _download_lsun (line 88) | def _download_lsun(out_dir, category, set_name, tag):
  function download_lsun (line 102) | def download_lsun(dirpath):
  function download_mnist (line 120) | def download_mnist(dirpath):
  function prepare_data_dir (line 143) | def prepare_data_dir(path = './data'):

FILE: main.py
  function main (line 47) | def main(_):

FILE: model.py
  function conv_out_size_same (line 13) | def conv_out_size_same(size, stride):
  class DCGAN (line 16) | class DCGAN(object):
    method __init__ (line 17) | def __init__(self, sess, input_height=108, input_width=108, crop=True,
    method build_model (line 77) | def build_model(self):
    method train (line 152) | def train(self, config):
    method discriminator (line 271) | def discriminator(self, image, y=None, reuse=False, batch_size = None):
    method feature_match_layer (line 304) | def feature_match_layer(self, image, y=None, reuse=False, batch_size =...
    method generator (line 331) | def generator(self, z, y=None):
    method _sampler (line 390) | def _sampler(self, z, y=None, batch_size = None):
    method get_test_data (line 445) | def get_test_data(self):
    method anomaly_detector (line 458) | def anomaly_detector(self, ano_para=0.1, dis_loss='feature'):
    method train_anomaly_detector (line 501) | def train_anomaly_detector(self, config, test_data, test_data_name):
    method load_mnist (line 542) | def load_mnist(self):
    method model_dir (line 581) | def model_dir(self):
    method save (line 586) | def save(self, checkpoint_dir, step):
    method load (line 597) | def load(self, checkpoint_dir):

FILE: ops.py
  function concat (line 16) | def concat(tensors, axis, *args, **kwargs):
  class batch_norm (line 20) | class batch_norm(object):
    method __init__ (line 21) | def __init__(self, epsilon=1e-5, momentum = 0.9, name="batch_norm"):
    method __call__ (line 27) | def __call__(self, x, train=True):
  function conv_cond_concat (line 36) | def conv_cond_concat(x, y):
  function conv2d (line 43) | def conv2d(input_, output_dim,
  function deconv2d (line 55) | def deconv2d(input_, output_shape,
  function leak_relu (line 72) | def leak_relu(x, leak=0.2, name="leak_relu"):
  function linear (line 75) | def linear(input_, output_size, scope=None, stddev=0.02, bias_start=0.0,...

FILE: utils.py
  function initialize_uninitialized (line 21) | def initialize_uninitialized(sess):
  function show_all_variables (line 32) | def show_all_variables():
  function get_image (line 36) | def get_image(image_path, input_height, input_width,
  function save_images (line 43) | def save_images(images, size, image_path):
  function imread (line 46) | def imread(path, grayscale = False):
  function merge_images (line 52) | def merge_images(images, size):
  function merge (line 55) | def merge(images, size):
  function imsave (line 76) | def imsave(images, size, path):
  function center_crop (line 80) | def center_crop(x, crop_h, crop_w,
  function transform (line 90) | def transform(image, input_height, input_width,
  function inverse_transform (line 100) | def inverse_transform(images):
  function make_gif (line 103) | def make_gif(images, fname, duration=2, true_image=False):
  function visualize (line 120) | def visualize(sess, dcgan, config, option):
  function image_manifold_size (line 194) | def image_manifold_size(num_images):