tensorflow_examples/models/nmt_with_attention/distributed_train.py [95:110]:
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      print (template.format(epoch,
                             self.train_loss_metric.result().numpy(),
                             self.test_loss_metric.result().numpy()))

    return (self.train_loss_metric.result().numpy(),
            self.test_loss_metric.result().numpy())


def run_main(argv):
  del argv
  kwargs = utils.flags_dict()
  main(**kwargs)


def main(epochs, enable_function, buffer_size, batch_size, download_path,
         num_examples=70000, embedding_dim=256, enc_units=1024, dec_units=1024):
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tensorflow_examples/models/nmt_with_attention/train.py [166:181]:
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      print (template.format(epoch,
                             self.train_loss_metric.result().numpy(),
                             self.test_loss_metric.result().numpy()))

    return (self.train_loss_metric.result().numpy(),
            self.test_loss_metric.result().numpy())


def run_main(argv):
  del argv
  kwargs = utils.flags_dict()
  main(**kwargs)


def main(epochs, enable_function, buffer_size, batch_size, download_path,
         num_examples=70000, embedding_dim=256, enc_units=1024, dec_units=1024):
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