
"""Tests for exporting utils."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf  # pylint: disable=g-bad-import-order

from utils.export import export


class ExportUtilsTest(tf.test.TestCase):
  """Tests for the ExportUtils."""

  def test_build_tensor_serving_input_receiver_fn(self):
    receiver_fn = export.build_tensor_serving_input_receiver_fn(shape=[4, 5])
    with tf.Graph().as_default():
      receiver = receiver_fn()
      self.assertIsInstance(
          receiver, tf.estimator.export.TensorServingInputReceiver)

      self.assertIsInstance(receiver.features, tf.Tensor)
      self.assertEqual(receiver.features.shape, tf.TensorShape([1, 4, 5]))
      self.assertEqual(receiver.features.dtype, tf.float32)
      self.assertIsInstance(receiver.receiver_tensors, dict)
      # Note that Python 3 can no longer index .values() directly; cast to list.
      self.assertEqual(list(receiver.receiver_tensors.values())[0].shape,
                       tf.TensorShape([1, 4, 5]))

  def test_build_tensor_serving_input_receiver_fn_batch_dtype(self):
    receiver_fn = export.build_tensor_serving_input_receiver_fn(
        shape=[4, 5], dtype=tf.int8, batch_size=10)

    with tf.Graph().as_default():
      receiver = receiver_fn()
      self.assertIsInstance(
          receiver, tf.estimator.export.TensorServingInputReceiver)

      self.assertIsInstance(receiver.features, tf.Tensor)
      self.assertEqual(receiver.features.shape, tf.TensorShape([10, 4, 5]))
      self.assertEqual(receiver.features.dtype, tf.int8)
      self.assertIsInstance(receiver.receiver_tensors, dict)
      # Note that Python 3 can no longer index .values() directly; cast to list.
      self.assertEqual(list(receiver.receiver_tensors.values())[0].shape,
                       tf.TensorShape([10, 4, 5]))


if __name__ == "__main__":
  tf.test.main()


"""Tests for exporting utils."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf  # pylint: disable=g-bad-import-order

from utils.export import export


class ExportUtilsTest(tf.test.TestCase):
  """Tests for the ExportUtils."""

  def test_build_tensor_serving_input_receiver_fn(self):
    receiver_fn = export.build_tensor_serving_input_receiver_fn(shape=[4, 5])
    with tf.Graph().as_default():
      receiver = receiver_fn()
      self.assertIsInstance(
          receiver, tf.estimator.export.TensorServingInputReceiver)

      self.assertIsInstance(receiver.features, tf.Tensor)
      self.assertEqual(receiver.features.shape, tf.TensorShape([1, 4, 5]))
      self.assertEqual(receiver.features.dtype, tf.float32)
      self.assertIsInstance(receiver.receiver_tensors, dict)
      # Note that Python 3 can no longer index .values() directly; cast to list.
      self.assertEqual(list(receiver.receiver_tensors.values())[0].shape,
                       tf.TensorShape([1, 4, 5]))

  def test_build_tensor_serving_input_receiver_fn_batch_dtype(self):
    receiver_fn = export.build_tensor_serving_input_receiver_fn(
        shape=[4, 5], dtype=tf.int8, batch_size=10)

    with tf.Graph().as_default():
      receiver = receiver_fn()
      self.assertIsInstance(
          receiver, tf.estimator.export.TensorServingInputReceiver)

      self.assertIsInstance(receiver.features, tf.Tensor)
      self.assertEqual(receiver.features.shape, tf.TensorShape([10, 4, 5]))
      self.assertEqual(receiver.features.dtype, tf.int8)
      self.assertIsInstance(receiver.receiver_tensors, dict)
      # Note that Python 3 can no longer index .values() directly; cast to list.
      self.assertEqual(list(receiver.receiver_tensors.values())[0].shape,
                       tf.TensorShape([10, 4, 5]))


if __name__ == "__main__":
  tf.test.main()

Tests for exporting utils. # pylint: disable=g-bad-import-order Tests for the ExportUtils. # Note that Python 3 can no longer index .values() directly; cast to list. # Note that Python 3 can no longer index .values() directly; cast to list.