old_contents: # Copyright 2018 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 eager profiler."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import os
  
  from tensorflow.core.profiler.protobuf import trace_events_pb2
  from tensorflow.python.eager import profiler
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import gfile
  from tensorflow.python.profiler import traceme
  
  
  class ProfilerTest(test_util.TensorFlowTestCase):
  
    def test_profile(self):
      profiler.start()
      with traceme.TraceMe('three_times_five'):
        three = constant_op.constant(3)
        five = constant_op.constant(5)
        product = three * five
      self.assertAllEqual(15, product)
      with self.assertRaises(profiler.ProfilerAlreadyRunningError):
        profiler.start()
  
      profile_result = profiler.stop()
      profile_pb = trace_events_pb2.Trace()
      profile_pb.ParseFromString(profile_result)
      devices = frozenset(device.name for device in profile_pb.devices.values())
      self.assertIn('/host:CPU', devices)
      if config.list_physical_devices('GPU'):
        self.assertIn('/device:GPU:0', devices)
      events = frozenset(event.name for event in profile_pb.trace_events)
      self.assertIn('three_times_five', events)
      self.assertIn('Mul', events)
      with self.assertRaises(profiler.ProfilerNotRunningError):
        profiler.stop()
  
    def test_save_profile(self):
      logdir = self.get_temp_dir()
      profile_pb = trace_events_pb2.Trace()
      profile_result = profile_pb.SerializeToString()
      profiler.save(logdir, profile_result)
      file_list = gfile.ListDirectory(logdir)
      self.assertEqual(len(file_list), 2)
      for file_name in gfile.ListDirectory(logdir):
        if gfile.IsDirectory(os.path.join(logdir, file_name)):
          self.assertEqual(file_name, 'plugins')
        else:
          self.assertTrue(file_name.endswith('.profile-empty'))
  
  
  if __name__ == '__main__':
    test.main()
  
new_contents: # Copyright 2018 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 eager profiler."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import os
  
  from tensorflow.core.profiler.protobuf import trace_events_pb2
  from tensorflow.python.eager import profiler
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import gfile
  from tensorflow.python.profiler import traceme
  
  
  class ProfilerTest(test_util.TensorFlowTestCase):
  
    def test_profile(self):
      profiler.start()
      with traceme.TraceMe('three_times_five'):
        three = constant_op.constant(3)
        five = constant_op.constant(5)
        product = three * five
      self.assertAllEqual(15, product)
      with self.assertRaises(profiler.ProfilerAlreadyRunningError):
        profiler.start()
  
      profile_result = profiler.stop()
      profile_pb = trace_events_pb2.Trace()
      profile_pb.ParseFromString(profile_result)
      devices = frozenset(device.name for device in profile_pb.devices.values())
      self.assertIn('/host:CPU', devices)
      if not test_util.IsBuiltWithROCm() and config.list_physical_devices('GPU'):
        # device tracing is not yet supported on the ROCm platform
        self.assertIn('/device:GPU:0', devices)
      events = frozenset(event.name for event in profile_pb.trace_events)
      self.assertIn('three_times_five', events)
      self.assertIn('Mul', events)
      with self.assertRaises(profiler.ProfilerNotRunningError):
        profiler.stop()
  
    def test_save_profile(self):
      logdir = self.get_temp_dir()
      profile_pb = trace_events_pb2.Trace()
      profile_result = profile_pb.SerializeToString()
      profiler.save(logdir, profile_result)
      file_list = gfile.ListDirectory(logdir)
      self.assertEqual(len(file_list), 2)
      for file_name in gfile.ListDirectory(logdir):
        if gfile.IsDirectory(os.path.join(logdir, file_name)):
          self.assertEqual(file_name, 'plugins')
        else:
          self.assertTrue(file_name.endswith('.profile-empty'))
  
  
  if __name__ == '__main__':
    test.main()
  
subject: Fix for a test regression on the ROCm platform - 200207 - 2