def create_callable_infogan_model(): return train.infogan_model( InfoGANGenerator(), InfoGANDiscriminator(), real_data=array_ops.zeros([1, 2]), unstructured_generator_inputs=[], structured_generator_inputs=[random_ops.random_normal([1, 2])])
def create_infogan_model(): return train.infogan_model( infogan_generator_model, infogan_discriminator_model, real_data=array_ops.zeros([1, 2]), unstructured_generator_inputs=[], structured_generator_inputs=[random_ops.random_normal([1, 2])])