def create_callable_cyclegan_model(): return train.cyclegan_model( Generator(), Discriminator(), data_x=array_ops.zeros([1, 2]), data_y=array_ops.ones([1, 2]))
def create_callable_cyclegan_model(): return train.cyclegan_model(Generator(), Discriminator(), data_x=array_ops.zeros([1, 2]), data_y=array_ops.ones([1, 2]))
def create_cyclegan_model(): return train.cyclegan_model( generator_model, discriminator_model, data_x=array_ops.zeros([1, 2]), data_y=array_ops.ones([1, 2]))
def create_cyclegan_model(): return train.cyclegan_model(generator_model, discriminator_model, data_x=array_ops.zeros([1, 2]), data_y=array_ops.ones([1, 2]))