message: Update keras_cpu_benchmark_test because of change in benchmark_util.
diff: @@ -95,7 +95,7 @@ class KerasModelCPUBenchmark(
  """Benchmark for MLP model on synthetic mnist data."""
  mlp_x = np.random.random((5000, 784))
  mlp_y = np.random.random((5000, 10))
  - results = benchmark_util.measure_performance(
  + metrics, wall_time = benchmark_util.measure_performance(
  self._mnist_mlp,
  x=mlp_x,
  y=mlp_y,
  @@ -104,13 +104,13 @@ class KerasModelCPUBenchmark(
  optimizer=_OPTIMIZER,
  loss=_LOSS)
  self.report_benchmark(
  - iters=run_iters, wall_time=results['wall_time'], extras=results)
  + iters=run_iters, wall_time=wall_time, metrics=metrics)
  def benchmark_mnist_convnet(self, batch_size, run_iters):
  """Benchmark for Convnet model on synthetic mnist data."""
  convnet_x = np.random.random((5000, 28, 28, 1))
  convnet_y = np.random.random((5000, 10))
  - results = benchmark_util.measure_performance(
  + metrics, wall_time = benchmark_util.measure_performance(
  self._mnist_convnet,
  x=convnet_x,
  y=convnet_y,
  @@ -119,13 +119,13 @@ class KerasModelCPUBenchmark(
  optimizer=_OPTIMIZER,
  loss=_LOSS)
  self.report_benchmark(
  - iters=run_iters, wall_time=results['wall_time'], extras=results)
  + iters=run_iters, wall_time=wall_time, metrics=metrics)
  def benchmark_imdb_lstm(self, batch_size, run_iters):
  """Benchmark for LSTM model on synthetic imdb review dataset."""
  lstm_x = np.random.randint(0, 1999, size=(2500, 100))
  lstm_y = np.random.random((2500, 1))
  - results = benchmark_util.measure_performance(
  + metrics, wall_time = benchmark_util.measure_performance(
  self._imdb_lstm,
  x=lstm_x,
  y=lstm_y,
  @@ -134,7 +134,7 @@ class KerasModelCPUBenchmark(
  optimizer=_OPTIMIZER,
  loss=_LOSS)
  self.report_benchmark(
  - iters=run_iters, wall_time=results['wall_time'], extras=results)
  + iters=run_iters, wall_time=wall_time, metrics=metrics)
  if __name__ == '__main__':
  