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]))
