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Diffstat (limited to 'tensorflow/compiler/tests/permute_test.py')
-rw-r--r-- | tensorflow/compiler/tests/permute_test.py | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/tensorflow/compiler/tests/permute_test.py b/tensorflow/compiler/tests/permute_test.py new file mode 100644 index 0000000000..dbb9274df4 --- /dev/null +++ b/tensorflow/compiler/tests/permute_test.py @@ -0,0 +1,80 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Tests for the DataFormatVecPermute operator.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import numpy as np + +from tensorflow.compiler.tests import xla_test +from tensorflow.python.framework import dtypes +from tensorflow.python.ops import array_ops +from tensorflow.python.ops import nn_ops +from tensorflow.python.platform import test + + +class XlaPermuteOpTest(xla_test.XLATestCase): + + def _runPermuteAndCompare(self, x, src_format, dst_format, expected): + with self.cached_session() as session: + with self.test_scope(): + placeholder = array_ops.placeholder(dtypes.as_dtype(x.dtype), x.shape) + param = {placeholder: x} + output = nn_ops.data_format_vec_permute( + placeholder, src_format=src_format, dst_format=dst_format) + result = session.run(output, param) + self.assertAllEqual(result, expected) + + def testNHWCToNCHW(self): + x = np.array([7, 4, 9, 3], dtype=np.int32) + self._runPermuteAndCompare(x, "NHWC", "NCHW", [7, 3, 4, 9]) + + def testNCHWToNHWC(self): + x = np.array([7, 4, 9, 3], dtype=np.int32) + self._runPermuteAndCompare(x, "NCHW", "NHWC", [7, 9, 3, 4]) + + def testNHWCToHWNC(self): + x = np.array([7, 4, 9, 3], dtype=np.int32) + self._runPermuteAndCompare(x, "NHWC", "HWNC", [4, 9, 7, 3]) + + def testHWNCToNHWC(self): + x = np.array([7, 4, 9, 3], dtype=np.int32) + self._runPermuteAndCompare(x, "HWNC", "NHWC", [9, 7, 4, 3]) + + def testNHWCToNCHW2D(self): + x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=np.int32) + self._runPermuteAndCompare(x, "NHWC", "NCHW", + [[7, 4], [5, 1], [9, 3], [4, 5]]) + + def testNHWCToHWNC2D(self): + x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=np.int32) + self._runPermuteAndCompare(x, "NHWC", "HWNC", + [[9, 3], [4, 5], [7, 4], [5, 1]]) + + def testHWNCToNHWC2D(self): + x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=np.int32) + self._runPermuteAndCompare(x, "HWNC", "NHWC", + [[4, 5], [7, 4], [9, 3], [5, 1]]) + + def testNCHWToNHWC2D(self): + x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=np.int32) + self._runPermuteAndCompare(x, "NCHW", "NHWC", + [[7, 4], [4, 5], [5, 1], [9, 3]]) + + +if __name__ == "__main__": + test.main() |