old_contents: # 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."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  
  from tensorflow.python.eager import graph_only_ops
  from tensorflow.python.framework import dtypes
  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):
  
    @test_util.deprecated_graph_mode_only
    def testGraphPlaceholder(self):
      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()
  
new_contents: # 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."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  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()
  
subject: remove v1 decorator