SYMBOL INDEX (42 symbols across 10 files)

FILE: create_cyclegan_dataset.py
  function create_list (line 11) | def create_list(foldername, fulldir=True, suffix=".jpg"):
  function create_dataset (line 51) | def create_dataset(image_path_a, image_path_b,

FILE: data_loader.py
  function _load_samples (line 7) | def _load_samples(csv_name, image_type):
  function load_data (line 36) | def load_data(dataset_name, image_size_before_crop,

FILE: layers.py
  function lrelu (line 4) | def lrelu(x, leak=0.2, name="lrelu", alt_relu_impl=False):
  function instance_norm (line 15) | def instance_norm(x):
  function instance_norm_bis (line 32) | def instance_norm_bis(x,mask):
  function general_conv2d_ (line 56) | def general_conv2d_(inputconv, o_d=64, f_h=7, f_w=7, s_h=1, s_w=1, stdde...
  function general_conv2d (line 80) | def general_conv2d(inputconv, do_norm, o_d=64, f_h=7, f_w=7, s_h=1, s_w=...
  function general_deconv2d (line 105) | def general_deconv2d(inputconv, outshape, o_d=64, f_h=7, f_w=7, s_h=1, s...
  function upsamplingDeconv (line 129) | def upsamplingDeconv(inputconv, size, is_scale, method,align_corners, na...
  function general_fc_layers (line 152) | def general_fc_layers(inpfc, outshape, name):

FILE: losses.py
  function cycle_consistency_loss (line 5) | def cycle_consistency_loss(real_images, generated_images):
  function mask_loss (line 31) | def mask_loss(gen_image, mask):
  function lsgan_loss_generator (line 35) | def lsgan_loss_generator(prob_fake_is_real):
  function lsgan_loss_discriminator (line 55) | def lsgan_loss_discriminator(prob_real_is_real, prob_fake_is_real):

FILE: main.py
  class CycleGAN (line 20) | class CycleGAN:
    method __init__ (line 23) | def __init__(self, pool_size, lambda_a,
    method model_setup (line 51) | def model_setup(self):
    method compute_losses (line 146) | def compute_losses(self):
    method save_images (line 213) | def save_images(self, sess, epoch, curr_tr):
    method save_images_bis (line 271) | def save_images_bis(self, sess, epoch):
    method fake_image_pool (line 328) | def fake_image_pool(self, num_fakes, fake, mask, fake_pool):
    method train (line 352) | def train(self):
    method test (line 505) | def test(self):
  function parse_args (line 534) | def parse_args():
  function main (line 557) | def main():

FILE: model.py
  function get_outputs (line 24) | def get_outputs(inputs, skip=False):
  function autoenc_upsample (line 100) | def autoenc_upsample(inputae, name):
  function build_resnet_block (line 134) | def build_resnet_block(inputres, dim, name="resnet", padding="REFLECT"):
  function build_resnet_block_Att (line 155) | def build_resnet_block_Att(inputres, dim, name="resnet", padding="REFLEC...
  function build_generator_resnet_9blocks (line 176) | def build_generator_resnet_9blocks(inputgen, name="generator", skip=False):
  function discriminator (line 223) | def discriminator(inputdisc,  mask, transition_rate, donorm,  name="disc...

FILE: test/evaluate_losses.py
  function test_evaluate_g_losses (line 7) | def test_evaluate_g_losses(sess):
  function test_evaluate_d_losses (line 36) | def test_evaluate_d_losses(sess):

FILE: test/evaluate_networks.py
  function test_evaluate_g (line 7) | def test_evaluate_g(sess):
  function test_evaluate_d (line 26) | def test_evaluate_d(sess):

FILE: test/test_losses.py
  function test_cycle_consistency_loss_is_none_with_perfect_fakes (line 7) | def test_cycle_consistency_loss_is_none_with_perfect_fakes(sess):
  function test_cycle_consistency_loss_is_positive_with_imperfect_fake_x (line 22) | def test_cycle_consistency_loss_is_positive_with_imperfect_fake_x(sess):
  function test_lsgan_loss_discrim_is_none_with_perfect_discrimination (line 40) | def test_lsgan_loss_discrim_is_none_with_perfect_discrimination(sess):
  function test_lsgan_loss_discrim_is_positive_with_imperfect_discrimination (line 50) | def test_lsgan_loss_discrim_is_positive_with_imperfect_discrimination(se...

FILE: test/test_model.py
  function test_output_sizes (line 11) | def test_output_sizes(sess):