SYMBOL INDEX (69 symbols across 8 files)

FILE: download.py
  function download (line 27) | def download(url, dirpath):
  function download_file_from_google_drive (line 54) | def download_file_from_google_drive(id, destination):
  function get_confirm_token (line 67) | def get_confirm_token(response):
  function save_response_content (line 73) | def save_response_content(response, destination, chunk_size=32*1024):
  function unzip (line 81) | def unzip(filepath):
  function download_celeb_a (line 88) | def download_celeb_a(dirpath):
  function _list_categories (line 109) | def _list_categories(tag):
  function _download_lsun (line 114) | def _download_lsun(out_dir, category, set_name, tag):
  function download_lsun (line 127) | def download_lsun(dirpath):
  function download_mnist (line 144) | def download_mnist(dirpath):
  function prepare_data_dir (line 167) | def prepare_data_dir(path = './data'):

FILE: main.py
  function main (line 42) | def main(_):

FILE: model.py
  function conv_out_size_same (line 14) | def conv_out_size_same(size, stride):
  function gen_random (line 17) | def gen_random(mode, size):
  class DCGAN (line 23) | class DCGAN(object):
    method __init__ (line 24) | def __init__(self, sess, input_height=108, input_width=108, crop=True,
    method build_model (line 106) | def build_model(self):
    method train (line 163) | def train(self, config):
    method discriminator (line 333) | def discriminator(self, image, y=None, reuse=False):
    method generator (line 364) | def generator(self, z, y=None):
    method sampler (line 423) | def sampler(self, z, y=None):
    method load_mnist (line 475) | def load_mnist(self):
    method model_dir (line 513) | def model_dir(self):
    method save (line 518) | def save(self, checkpoint_dir, step, filename='model', ckpt=True, froz...
    method load (line 538) | def load(self, checkpoint_dir):

FILE: ops.py
  function concat (line 23) | def concat(tensors, axis, *args, **kwargs):
  function concat (line 26) | def concat(tensors, axis, *args, **kwargs):
  class batch_norm (line 29) | class batch_norm(object):
    method __init__ (line 30) | def __init__(self, epsilon=1e-5, momentum = 0.9, name="batch_norm"):
    method __call__ (line 36) | def __call__(self, x, train=True):
  function conv_cond_concat (line 45) | def conv_cond_concat(x, y):
  function conv2d (line 52) | def conv2d(input_, output_dim,
  function deconv2d (line 65) | def deconv2d(input_, output_shape,
  function lrelu (line 90) | def lrelu(x, leak=0.2, name="lrelu"):
  function linear (line 93) | def linear(input_, output_size, scope=None, stddev=0.02, bias_start=0.0,...

FILE: utils.py
  function expand_path (line 27) | def expand_path(path):
  function timestamp (line 30) | def timestamp(s='%Y%m%d.%H%M%S', ts=None):
  function show_all_variables (line 35) | def show_all_variables():
  function get_image (line 39) | def get_image(image_path, input_height, input_width,
  function save_images (line 46) | def save_images(images, size, image_path):
  function imread (line 49) | def imread(path, grayscale = False):
  function merge_images (line 59) | def merge_images(images, size):
  function merge (line 62) | def merge(images, size):
  function imsave (line 83) | def imsave(images, size, path):
  function center_crop (line 87) | def center_crop(x, crop_h, crop_w,
  function transform (line 97) | def transform(image, input_height, input_width,
  function inverse_transform (line 107) | def inverse_transform(images):
  function to_json (line 110) | def to_json(output_path, *layers):
  function make_gif (line 173) | def make_gif(images, fname, duration=2, true_image=False):
  function visualize (line 190) | def visualize(sess, dcgan, config, option, sample_dir='samples'):
  function image_manifold_size (line 264) | def image_manifold_size(num_images):

FILE: web/app.py
  function index (line 7) | def index():

FILE: web/js/app.js
  function rgb2hex (line 8) | function rgb2hex(rgb){
  function cloneCanvas (line 76) | function cloneCanvas(oldCanvas) {
  function deactivate (line 228) | function deactivate($el) {
  function activate (line 233) | function activate($el) {
  function disable (line 238) | function disable($el) {
  function enable (line 243) | function enable($el) {
  function isEnabled (line 248) | function isEnabled($el) {
  function trackEvent (line 253) | function trackEvent(e, url) {
  function getCoordinates (line 258) | function getCoordinates(e) {
  function mouseDownCallback (line 272) | function mouseDownCallback(e) {
  function mouseMoveCallback (line 280) | function mouseMoveCallback(e) {
  function mouseUpCallback (line 288) | function mouseUpCallback() {
  function collapseNavbar (line 341) | function collapseNavbar() {

FILE: web/js/convnet.js
  function average (line 39) | function average(data, nChannel){
  function standardDeviation (line 51) | function standardDeviation(v, nChannel){
  function assert (line 148) | function assert(condition, message) {
  function tanh (line 1474) | function tanh(x) {