tensorflow/python/eager/graph_only_ops_test.py

# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for graph_only_ops."""

import numpy as np

from tensorflow.python.eager import graph_only_ops
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test


class GraphOnlyOpsTest(test_util.TensorFlowTestCase):

  def testGraphPlaceholder(self):
    with ops.Graph().as_default():
      x_tf = graph_only_ops.graph_placeholder(dtypes.int32, shape=(1,))
      y_tf = math_ops.square(x_tf)
      with self.cached_session() as sess:
        x = np.array([42])
        y = sess.run(y_tf, feed_dict={x_tf: np.array([42])})
        self.assertAllClose(np.square(x), y)


if __name__ == '__main__':
  test.main()