333b44e6d8996d25f892d15b7fc07eae9b861c76,tests/linux_benchmarks/resnet_benchmark_test.py,ResNetBenchmarkTestCase,testTrainResults,#ResNetBenchmarkTestCase#,36

Before Change

  def testTrainResults(self):
    samples = mnist_benchmark.MakeSamplesFromTrainOutput(
        self.metadata, self.contents, 0)
    golden = [
        Sample(
            "Loss", 3.6859958, "",
            {"epoch": 4.000479577971386, "elapsed seconds": 0,
             "num_examples_per_epoch": 1251.1, "step": 5005}),
        Sample(
            "Global Steps Per Second", 3.6699466666666667, "global_steps/sec",
            {"epoch": 4.000479577971386, "elapsed seconds": 0,
             "num_examples_per_epoch": 1251.1, "step": 5005}),
        Sample(
            "Examples Per Second", 3758.023333333333, "examples/sec",
            {"epoch": 4.000479577971386, "elapsed seconds": 0,
             "num_examples_per_epoch": 1251.1, "step": 5005})
    ]
    self.assertEqual(samples, golden)

  @mock.patch("time.time", mock.MagicMock(return_value=0))
  def testEvalResults(self):

After Change

  def testTrainResults(self):
    samples = mnist_benchmark.MakeSamplesFromTrainOutput(
        self.metadata_input, self.contents, 0)
    golden = [
        Sample("Loss", 3.6859958, "", self.metadata_output),
        Sample("Global Steps Per Second", 3.6699466666666667,
               "global_steps/sec", self.metadata_output),
        Sample("Examples Per Second", 3758.023333333333,
               "examples/sec", self.metadata_output)
    ]
    self.assertEqual(samples, golden)

  @mock.patch("time.time", mock.MagicMock(return_value=0))
  def testEvalResults(self):

Instances