Internal change.
Change: 155301612
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@ -149,10 +149,8 @@ class BiasAddTest(test.TestCase):
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# Test gradient of BiasAddGrad
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bias_add_grad = gradients_impl.gradients(
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nn_ops.l2_loss(output_tensor), bias_tensor)[0]
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# pylint: disable=unused-variable
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grad_jacob_t, grad_jacob_n = gradient_checker.compute_gradient(
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output_tensor, np_input.shape, bias_add_grad, bias.shape)
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# pylint: enable=unused-variable
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if dtype == np.float16:
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# Compare fp16 theoretical gradients to fp32 numerical gradients,
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@ -186,10 +184,11 @@ class BiasAddTest(test.TestCase):
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if dtype == dtypes.float64:
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threshold = 1e-10
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self.assertAllClose(tensor_jacob_t, tensor_jacob_n, threshold, threshold)
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# TODO(annarev): Re-add assertion for float16, float32 dtypes and NCHW
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# once we figure out why this check started failing with cuda mavx.
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if dtype == dtypes.float64 or data_format != "NCHW":
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self.assertAllClose(bias_jacob_t, bias_jacob_n, threshold, threshold)
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# TODO(annarev): Re-add assertion for grad_jacob_t and grad_jacob_n once
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# we figure out why this check started failing with cuda mavx.
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# self.assertAllClose(grad_jacob_t, grad_jacob_n, threshold, threshold)
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self.assertAllClose(grad_jacob_t, grad_jacob_n, threshold, threshold)
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def testGradientTensor(self):
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for (data_format, use_gpu) in GetTestConfigs():
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