diff options
Diffstat (limited to 'tensorflow/compiler/tests/pooling_ops_3d_test.py')
| -rw-r--r-- | tensorflow/compiler/tests/pooling_ops_3d_test.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/tensorflow/compiler/tests/pooling_ops_3d_test.py b/tensorflow/compiler/tests/pooling_ops_3d_test.py index 4eed903963..eb48fe555a 100644 --- a/tensorflow/compiler/tests/pooling_ops_3d_test.py +++ b/tensorflow/compiler/tests/pooling_ops_3d_test.py @@ -33,7 +33,7 @@ from tensorflow.python.platform import test # MaxPoolGrad. def _AvgPoolGrad(inputs, outputs, output_gradients, ksize, strides, padding): del outputs # Unused by average-pooling gradients. - return gen_nn_ops.avg_pool3d_grad( + return gen_nn_ops._avg_pool3d_grad( inputs.get_shape().as_list(), output_gradients, ksize=ksize, @@ -263,7 +263,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradValidPadding1_1_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[1, 3, 3, 3, 1], ksize=[1, 1, 1], strides=[1, 1, 1], @@ -272,7 +272,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradValidPadding2_1_6_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 3, 3, 6, 3], ksize=[2, 2, 2], strides=[1, 1, 1], @@ -281,7 +281,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradValidPadding2_1_7_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 3, 5, 7, 3], ksize=[2, 2, 2], strides=[1, 1, 1], @@ -290,7 +290,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradValidPadding2_2_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 2, 2, 2, 3], ksize=[2, 2, 2], strides=[2, 2, 2], @@ -299,7 +299,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradSamePadding1_1_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 3, 2, 4, 1], ksize=[1, 1, 1], strides=[1, 1, 1], @@ -308,7 +308,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradSamePadding2_1_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 3, 2, 4, 1], ksize=[2, 2, 2], strides=[1, 1, 1], @@ -317,7 +317,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradSamePadding2_2_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[2, 5, 2, 4, 3], ksize=[2, 2, 2], strides=[2, 2, 2], @@ -326,7 +326,7 @@ class Pooling3DTest(XLATestCase): def testMaxPoolGradSamePadding3_1_3d(self): self._VerifyGradient( nn_ops.max_pool3d, - gen_nn_ops.max_pool3d_grad, + gen_nn_ops._max_pool3d_grad, input_sizes=[1, 3, 3, 7, 1], ksize=[3, 3, 3], strides=[1, 1, 1], |