message: Assert closeness of output values instead of equality in layout optimizer tests
  using convolutions
  Convolution output may differ across convolution algorithms and is not guaranteed to match exactly.
diff: @@ -1340,7 +1340,7 @@ class LayoutOptimizerTest(test.TestCase):
  expected_num_transposes = 2
  self.assertEqual(expected_num_transposes, num_transposes)
  self._assert_trans_nhwc_to_nchw('Conv2D-0', nodes)
  - self.assertAllEqual(output_val_ref, output_val)
  + self.assertAllClose(output_val_ref, output_val, atol=1e-3)
  def testLoop(self):
  if test.is_gpu_available(cuda_only=True):
  