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_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])])
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])])
