benchmark_cnn.py 文件源码

python
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项目:benchmarks 作者: tensorflow 项目源码 文件源码
def get_perf_timing_str(batch_size, step_train_times, scale=1):
  times = np.array(step_train_times)
  speeds = batch_size / times
  speed_mean = scale * batch_size / np.mean(times)
  if scale == 1:
    speed_uncertainty = np.std(speeds) / np.sqrt(float(len(speeds)))
    speed_madstd = 1.4826 * np.median(np.abs(speeds - np.median(speeds)))
    speed_jitter = speed_madstd
    return ('images/sec: %.1f +/- %.1f (jitter = %.1f)' %
            (speed_mean, speed_uncertainty, speed_jitter))
  else:
    return 'images/sec: %.1f' % speed_mean
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