Esempio n. 1
0
def create_callable_acgan_model():
  return train.acgan_model(
      Generator(),
      ACGANDiscriminator(),
      real_data=array_ops.zeros([1, 2]),
      generator_inputs=random_ops.random_normal([1, 2]),
      one_hot_labels=array_ops.one_hot([0, 1, 2], 10))
Esempio n. 2
0
def create_callable_acgan_model():
  return train.acgan_model(
      Generator(),
      ACGANDiscriminator(),
      real_data=array_ops.zeros([1, 2]),
      generator_inputs=random_ops.random_normal([1, 2]),
      one_hot_labels=array_ops.one_hot([0, 1, 2], 10))