experiments/STT-tensorflow
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Add 'test_util.IsMklEnabled()' to guard tests to only mkl.

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This commit is contained in:
wenxizhu 2019-07-08 15:47:58 +08:00
parent b47c1aafac
commit b1fca4d98c
1 changed files with 15 additions and 12 deletions
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27
tensorflow/python/kernel_tests/conv_ops_3d_test.py
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@ -32,6 +32,7 @@ from tensorflow.python.ops import gradients_impl
from tensorflow.python.ops import nn_ops
import tensorflow.python.ops.nn_grad # pylint: disable=unused-import
from tensorflow.python.platform import test
from tensorflow.python.framework import test_util
def GetTestConfigs():
@ -220,12 +221,13 @@ class Conv3DTest(test.TestCase):
expected=expected_output)
def testConv3D1x1x1Filter2x1x1Dilation(self):
self._VerifyDilatedConvValues(
tensor_in_sizes=[1, 3, 6, 1, 1],
filter_in_sizes=[1, 1, 1, 1, 1],
stride=1,
padding="VALID",
dilations=[2, 1, 1])
if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled():
self._VerifyDilatedConvValues(
tensor_in_sizes=[1, 3, 6, 1, 1],
filter_in_sizes=[1, 1, 1, 1, 1],
stride=1,
padding="VALID",
dilations=[2, 1, 1])
# Expected values computed using scipy's correlate function.
def testConv3D2x2x2Filter(self):
@ -244,12 +246,13 @@ class Conv3DTest(test.TestCase):
expected=expected_output)
def testConv3D2x2x2Filter1x2x1Dilation(self):
self._VerifyDilatedConvValues(
tensor_in_sizes=[1, 4, 6, 3, 1],
filter_in_sizes=[2, 2, 2, 1, 1],
stride=1,
padding="VALID",
dilations=[1, 2, 1])
if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled():
self._VerifyDilatedConvValues(
tensor_in_sizes=[1, 4, 6, 3, 1],
filter_in_sizes=[2, 2, 2, 1, 1],
stride=1,
padding="VALID",
dilations=[1, 2, 1])
def testConv3DStrides(self):
expected_output = [