SYMBOL INDEX (36 symbols across 7 files)

FILE: face/model.py
  function batchnormalize (line 5) | def batchnormalize(X, eps=1e-8, g=None, b=None):
  function lrelu (line 31) | def lrelu(X, leak=0.2):
  function bce (line 36) | def bce(o, t):
  class DCGAN (line 40) | class DCGAN():
    method __init__ (line 41) | def __init__(
    method build_model (line 113) | def build_model(self):
    method discriminate (line 131) | def discriminate(self, image):
    method generate (line 141) | def generate(self, Z):
    method samples_generator (line 163) | def samples_generator(self, batch_size):

FILE: face/util.py
  function crop_resize (line 6) | def crop_resize(image_path, resize_shape=(64,64)):
  function save_visualization (line 23) | def save_visualization(X, (nh, nw), save_path='./vis/sample.jpg'):

FILE: lsun/model.py
  function batchnormalize (line 5) | def batchnormalize(X, eps=1e-8, g=None, b=None):
  function lrelu (line 31) | def lrelu(X, leak=0.2):
  function bce (line 36) | def bce(o, t):
  class DCGAN (line 40) | class DCGAN():
    method __init__ (line 41) | def __init__(
    method build_model (line 113) | def build_model(self):
    method discriminate (line 131) | def discriminate(self, image):
    method generate (line 141) | def generate(self, Z):
    method samples_generator (line 163) | def samples_generator(self, batch_size):

FILE: lsun/util.py
  function crop_resize (line 6) | def crop_resize(image_path, resize_shape=(64,64)):
  function save_visualization (line 24) | def save_visualization(X, (nh, nw), save_path='./vis/sample.jpg'):

FILE: mnist/load.py
  function mnist (line 8) | def mnist():
  function mnist_with_valid_set (line 30) | def mnist_with_valid_set():

FILE: mnist/model.py
  function batchnormalize (line 4) | def batchnormalize(X, eps=1e-8, g=None, b=None):
  function lrelu (line 30) | def lrelu(X, leak=0.2):
  function bce (line 35) | def bce(o, t):
  class DCGAN (line 39) | class DCGAN():
    method __init__ (line 40) | def __init__(
    method build_model (line 72) | def build_model(self):
    method discriminate (line 92) | def discriminate(self, image, Y):
    method generate (line 110) | def generate(self, Z, Y):
    method samples_generator (line 129) | def samples_generator(self, batch_size):

FILE: mnist/util.py
  function OneHot (line 5) | def OneHot(X, n=None, negative_class=0.):
  function crop_resize (line 14) | def crop_resize(image_path, resize_shape=(64,64)):
  function save_visualization (line 31) | def save_visualization(X, nh_nw, save_path='./vis/sample.jpg'):