metric_ops_test.py 文件源码

def testValueTensorIsIdempotent(self):
    labels = random_ops.random_normal((10, 3), seed=2)
    predictions = labels * 0.5 + random_ops.random_normal((10, 3), seed=1) * 0.5
    pearson_r, update_op = metrics.streaming_pearson_correlation(predictions,
                                                                 labels)

    with self.test_session() as sess:
      sess.run(variables.local_variables_initializer())

      # Run several updates.
      for _ in range(10):
        sess.run(update_op)

      # Then verify idempotency.
      initial_r = pearson_r.eval()
      for _ in range(10):
        self.assertEqual(initial_r, pearson_r.eval())