message: BREAKING CHANGE: Always put real data arg before generated data arg.
diff: @@ -170,8 +170,8 @@ def wasserstein_discriminator_loss(
  # ACGAN losses from `Conditional Image Synthesis With Auxiliary Classifier GANs`
  # (https://arxiv.org/abs/1610.09585).
  def acgan_discriminator_loss(
  - discriminator_gen_classification_logits,
  discriminator_real_classification_logits,
  + discriminator_gen_classification_logits,
  one_hot_labels,
  label_smoothing=0.0,
  real_weights=1.0,
  @@ -192,10 +192,10 @@ def acgan_discriminator_loss(
  ACGAN: https://arxiv.org/abs/1610.09585
  Args:
  - discriminator_gen_classification_logits: Classification logits for generated
  - data.
  discriminator_real_classification_logits: Classification logits for real
  data.
  + discriminator_gen_classification_logits: Classification logits for generated
  + data.
  one_hot_labels: A Tensor holding one-hot labels for the batch.
  label_smoothing: A float in [0, 1]. If greater than 0, smooth the labels for
  "discriminator on real data" as suggested in
  @@ -291,8 +291,8 @@ def acgan_generator_loss(
  # TODO(joelshor): Figure out why this function can't be inside a name scope.
  def wasserstein_gradient_penalty(
  - generated_data,
  real_data,
  + generated_data,
  generator_inputs,
  discriminator_fn,
  discriminator_scope,
  @@ -308,8 +308,8 @@ def wasserstein_gradient_penalty(
  (https://arxiv.org/abs/1704.00028) for more details.
  Args:
  - generated_data: Output of the generator.
  real_data: Real data.
  + generated_data: Output of the generator.
  generator_inputs: Exact argument to pass to the generator, which is used
  as optional conditioning to the discriminator.
  discriminator_fn: A discriminator function that conforms to TFGAN API.
  