diff options
author | Anna R <annarev@google.com> | 2017-05-06 18:07:31 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-05-06 19:31:08 -0700 |
commit | 93572de9a17ca687318c7afac4496f515cd2264d (patch) | |
tree | fa2e17e836bb457e04c785c777cd6b2ae288b9f6 | |
parent | 7cac7f24d1c9c80d8ff8b17d4a52605486f1550f (diff) |
Internal change.
Change: 155301612
-rw-r--r-- | tensorflow/python/kernel_tests/bias_op_test.py | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/tensorflow/python/kernel_tests/bias_op_test.py b/tensorflow/python/kernel_tests/bias_op_test.py index cd07dd8198..fe5f0f319d 100644 --- a/tensorflow/python/kernel_tests/bias_op_test.py +++ b/tensorflow/python/kernel_tests/bias_op_test.py @@ -149,10 +149,8 @@ class BiasAddTest(test.TestCase): # Test gradient of BiasAddGrad bias_add_grad = gradients_impl.gradients( nn_ops.l2_loss(output_tensor), bias_tensor)[0] - # pylint: disable=unused-variable grad_jacob_t, grad_jacob_n = gradient_checker.compute_gradient( output_tensor, np_input.shape, bias_add_grad, bias.shape) - # pylint: enable=unused-variable if dtype == np.float16: # Compare fp16 theoretical gradients to fp32 numerical gradients, @@ -186,10 +184,11 @@ class BiasAddTest(test.TestCase): if dtype == dtypes.float64: threshold = 1e-10 self.assertAllClose(tensor_jacob_t, tensor_jacob_n, threshold, threshold) - self.assertAllClose(bias_jacob_t, bias_jacob_n, threshold, threshold) - # TODO(annarev): Re-add assertion for grad_jacob_t and grad_jacob_n once - # we figure out why this check started failing with cuda mavx. - # self.assertAllClose(grad_jacob_t, grad_jacob_n, threshold, threshold) + # TODO(annarev): Re-add assertion for float16, float32 dtypes and NCHW + # once we figure out why this check started failing with cuda mavx. + if dtype == dtypes.float64 or data_format != "NCHW": + self.assertAllClose(bias_jacob_t, bias_jacob_n, threshold, threshold) + self.assertAllClose(grad_jacob_t, grad_jacob_n, threshold, threshold) def testGradientTensor(self): for (data_format, use_gpu) in GetTestConfigs(): |