SYMBOL INDEX (46 symbols across 6 files)

FILE: feed_dict.py
  class FeedDict (line 14) | class FeedDict:
    method __init__ (line 18) | def __init__(self, logdir, imgdir, z_length, n_examples, shuffle=True,...
    method n_sizes (line 51) | def n_sizes(self): return len(self.sizes)
    method __change_res (line 53) | def __change_res(self, res):
    method __change_array (line 58) | def __change_array(self):
    method z_batch (line 68) | def z_batch(self, batch_size, random_state=None):
    method x_batch (line 73) | def x_batch(self, batch_size, res):
    method load (line 94) | def load(cls, logdir, **kwargs):
    method save (line 104) | def save(self):

FILE: make_video.py
  function get_z_from_audio (line 10) | def get_z_from_audio(audio, z_length, n_bins=60, hop_length=512, random_...
  function make_video (line 30) | def make_video(audio, filename, progan, n_bins=60, random_state=0, imgs_...

FILE: ops.py
  function conv (line 8) | def conv(input, out_channels, filter_size=3, k=1, padding='SAME', mode=N...
  function dense (line 52) | def dense(input, output_size):
  function leaky_relu (line 60) | def leaky_relu(input, alpha=0.2):
  function pixelwise_norm (line 64) | def pixelwise_norm(input):
  function g_conv_layer (line 69) | def g_conv_layer(input, out_channels, **kwargs):
  function d_conv_layer (line 73) | def d_conv_layer(input, out_channels, **kwargs):
  function minibatch_stddev (line 77) | def minibatch_stddev(input):
  function upscale (line 90) | def upscale(input):
  function downscale (line 98) | def downscale(input):
  function resize_images (line 103) | def resize_images(input, dims=None):
  function scale_uint8 (line 109) | def scale_uint8(input):
  function tensor_to_imgs (line 114) | def tensor_to_imgs(input, switch_dims=True):

FILE: progan_v15.py
  class ProGAN (line 15) | class ProGAN:
    method __init__ (line 16) | def __init__(self,
    method _reparameterize (line 108) | def _reparameterize(self, x0, x1):
    method _create_network (line 115) | def _create_network(self, layers):
    method _add_summary (line 287) | def _add_summary(self, string, gs):
    method _z (line 291) | def _z(self, batch_size):
    method train (line 295) | def train(self):
    method get_cur_res (line 381) | def get_cur_res(self):
    method generate (line 386) | def generate(self, z):
    method transform (line 404) | def transform(self, input_img, n_iter=100000):

FILE: progan_v16.py
  class ProGAN (line 15) | class ProGAN:
    method __init__ (line 16) | def __init__(self,
    method reparameterize (line 104) | def reparameterize(self, x0, x1):
    method generator (line 112) | def generator(self, z, n_layers):
    method discriminator (line 151) | def discriminator(self, x, n_layers):
    method create_network (line 189) | def create_network(self, n_layers):
    method get_global_vars (line 325) | def get_global_vars(self):
    method get_layer_ops (line 333) | def get_layer_ops(self, layer):
    method train (line 350) | def train(self, save_interval=80000):
    method get_cur_res (line 432) | def get_cur_res(self):
    method generate (line 437) | def generate(self, z):

FILE: scripts/image_reshape.py
  function generate_square_crops (line 6) | def generate_square_crops(imgdir, savedir, crops_per_img=10, max_size=10...
  function resize (line 56) | def resize(savedir, NCHW=True, min_size=4, max_size=1024, max_mem=0.8,