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authorGravatar Yangzihao Wang <yangzihao@google.com>2017-07-26 15:27:52 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-07-26 15:32:09 -0700
commit1bad826d6f94eb2f9b619badf3e9c2d42e370e9c (patch)
tree1dc9a3a7d0f55b9cb07267cf7fbe9c3417e09f3b /tensorflow/python/kernel_tests/transpose_op_test.py
parentf1537588d4983dfdabfdd82442264a9d1a702d2f (diff)
Rollback of GPU kernel implementation of transpose for tensors with one small dimension.
END_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 162525519 PiperOrigin-RevId: 163265445
Diffstat (limited to 'tensorflow/python/kernel_tests/transpose_op_test.py')
-rw-r--r--tensorflow/python/kernel_tests/transpose_op_test.py20
1 files changed, 0 insertions, 20 deletions
diff --git a/tensorflow/python/kernel_tests/transpose_op_test.py b/tensorflow/python/kernel_tests/transpose_op_test.py
index 67bdb4237d..570fa79944 100644
--- a/tensorflow/python/kernel_tests/transpose_op_test.py
+++ b/tensorflow/python/kernel_tests/transpose_op_test.py
@@ -229,26 +229,6 @@ class TransposeTest(test.TestCase):
self.assertAllEqual(np_ans, tf_ans)
self.assertShapeEqual(np_ans, y)
- def testLargeSizeGPU(self):
- # If no GPU available, skip the test
- if not test.is_gpu_available(cuda_only=True):
- return
-
- large_shapes = [[1000000, 31, 3], [3, 1000000, 31], [3, 31, 1000000],
- [2, 1000, 1000], [1000, 2, 1000], [1000, 1000, 2]]
- perms = [[0, 2, 1]] * 6
-
- for input_shape, perm in zip(large_shapes, perms):
- total_size = np.prod(input_shape)
- inp = np.arange(1, total_size + 1, dtype=np.float32).reshape(input_shape)
- np_ans = self._np_transpose(inp, perm)
- with self.test_session(use_gpu=True):
- inx = ops.convert_to_tensor(inp)
- y = array_ops.transpose(inx, perm)
- tf_ans = y.eval()
- self.assertAllEqual(np_ans, tf_ans)
- self.assertShapeEqual(np_ans, y)
-
def testNop(self):
self._compareCpu(np.arange(0, 6).reshape([3, 2]).astype(np.float32), [0, 1])