SYMBOL INDEX (19 symbols across 2 files)

FILE: v1/model.py
  class MidiNet (line 14) | class MidiNet(object):
    method __init__ (line 15) | def __init__(self, sess, is_crop=False,
    method build_model (line 67) | def build_model(self):
    method train (line 130) | def train(self, config):
    method discriminator (line 240) | def discriminator(self, x, y=None, reuse=False):
    method generator (line 274) | def generator(self, z, y=None, prev_x = None):
    method sampler (line 308) | def sampler(self, z, y=None, prev_x=None):
    method save (line 341) | def save(self, checkpoint_dir, step):
    method load (line 353) | def load(self, checkpoint_dir):

FILE: v1/ops.py
  class batch_norm (line 11) | class batch_norm(object):
    method __init__ (line 12) | def __init__(self, epsilon=1e-5, momentum = 0.9, name="batch_norm"):
    method __call__ (line 18) | def __call__(self, x, train=True):
  function binary_cross_entropy (line 27) | def binary_cross_entropy(preds, targets, name=None):
  function conv_cond_concat (line 45) | def conv_cond_concat(x, y):
  function conv_prev_concat (line 51) | def conv_prev_concat(x, y):
  function conv2d (line 61) | def conv2d(input_, output_dim,
  function deconv2d (line 74) | def deconv2d(input_, output_shape,
  function lrelu (line 100) | def lrelu(x, leak=0.2, name="lrelu"):
  function linear (line 103) | def linear(input_, output_size, scope=None, stddev=0.02, bias_start=0.0,...