text: # Copyright 2016 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.
  # ==============================================================================
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  
  
  class TFProfLoggerTest(tf.test.TestCase):
  
    def _BuildSmallPlaceholderlModel(self):
      a = tf.placeholder(tf.int32, [2, 2])
      b = tf.placeholder(tf.int32, [2, 2])
      y = tf.matmul(a, b)
      return a, b, y
  
    def _BuildSmallModel(self):
      a = tf.constant([[1, 2], [3, 4]])
      b = tf.constant([[1, 2], [3, 4]])
      return tf.matmul(a, b)
  
    def testFillMissingShape(self):
      a, b, y = self._BuildSmallPlaceholderlModel()
      run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
      run_metadata = tf.RunMetadata()
      sess = tf.Session()
      sess.run(y,
               options=run_options,
               run_metadata=run_metadata,
               feed_dict={a: [[1, 2], [2, 3]],
                          b: [[1, 2], [2, 3]]})
  
      graph2 = tf.Graph()
      # Use copy_op_to_graph to remove shape information.
      y2 = tf.contrib.copy_graph.copy_op_to_graph(y, graph2, [])
      self.assertEquals('<unknown>', str(y2.get_shape()))
  
      tf.contrib.tfprof.tfprof_logger._fill_missing_graph_shape(graph2,
                                                                run_metadata)
      self.assertEquals('(2, 2)', str(y2.get_shape()))
  
    def testFailedFillMissingShape(self):
      y = self._BuildSmallModel()
      run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
      run_metadata = tf.RunMetadata()
      sess = tf.Session()
      sess.run(y, options=run_options, run_metadata=run_metadata)
  
      graph2 = tf.Graph()
      y2 = tf.contrib.copy_graph.copy_op_to_graph(y, graph2, [])
      self.assertEquals('<unknown>', str(y2.get_shape()))
      # run_metadata has special name for MatMul, hence failed to fill shape.
      tf.contrib.tfprof.tfprof_logger._fill_missing_graph_shape(graph2,
                                                                run_metadata)
      self.assertEquals('<unknown>', str(y2.get_shape()))
  
  
  if __name__ == '__main__':
    tf.test.main()
  