f7f6ccdbb2f8299f910dee548738a8a38cd089a5,models/experimental/dcgan/dcgan_main.py,,main,#Any#,201

Before Change

  if FLAGS.dataset == "mnist":
    dataset = mnist_input
    model = mnist_model
  elif FLAGS.dataset == "cifar":
    dataset = cifar_input
    model = cifar_model
  else:
    raise ValueError("Invalid dataset: %s" % FLAGS.dataset)

  // TPU-based estimator used for TRAIN and EVAL
  est = tf.contrib.tpu.TPUEstimator(
      model_fn=model_fn,

After Change

      config=config)

  // Get the tf.Estimator `input_fn` for training and evaluation.
  train_eval_input_fn = functools.partial(input_fn, dataset=dataset)
  tf.gfile.MakeDirs(os.path.join(FLAGS.model_dir, "generated_images"))

  current_step = estimator._load_global_step_from_checkpoint_dir(FLAGS.model_dir)   // pylint: disable=protected-access,line-too-long
  tf.logging.info("Starting training for %d steps, current step: %d" %

Instances