e818c9e626fc5c95516e68fb2282f07d0232eea9,tensorflow/python/kernel_tests/relu_op_test.py,ReluTest,testGradientFloat16,#ReluTest#,124

Before Change

    // In TensorFlow 1.x, invoking f() (without eager execution enabled)
    // would construct a graph. Instead of construct a graph with O(100) nodes,
    // we construct a single graph to be executed ~100 times in a Session.
    if not tf2.enabled():
      d32_tensor, d16_tensor = f()
      with self.cached_session() as sess:
        f = lambda: sess.run([d32_tensor, d16_tensor])

    // Repeat the experiment for 100 times. All tensor shapes and its tensor
    // values are randomly generated for each run.
    for _ in xrange(100):
      d32, d16 = f()
      self.assertAllClose(d32, d16, atol=3e-4)

After Change

          dtype=np.float16,
          order="F")
      err = gradient_checker_v2.max_error(
          *gradient_checker_v2.compute_gradient(nn_ops.relu, [x]))
    self.assertLess(err, 1e-6)

  def testGradientFloat64(self):

Instances