# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for the DataFormatVecPermute operator."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import dtypes
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import nn_ops
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from tensorflow.python.platform import test
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class XlaPermuteOpTest(xla_test.XLATestCase):
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def _runPermuteAndCompare(self, x, src_format, dst_format, expected):
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with self.cached_session() as session:
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with self.test_scope():
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placeholder = array_ops.placeholder(dtypes.as_dtype(x.dtype), x.shape)
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param = {placeholder: x}
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output = nn_ops.data_format_vec_permute(
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placeholder, src_format=src_format, dst_format=dst_format)
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result = session.run(output, param)
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self.assertAllEqual(result, expected)
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def testNHWCToNCHW(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([7, 4, 9, 3], dtype=dtype)
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self._runPermuteAndCompare(x, "NHWC", "NCHW", [7, 3, 4, 9])
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def testNCHWToNHWC(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([7, 4, 9, 3], dtype=dtype)
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self._runPermuteAndCompare(x, "NCHW", "NHWC", [7, 9, 3, 4])
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def testNHWCToHWNC(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([7, 4, 9, 3], dtype=dtype)
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self._runPermuteAndCompare(x, "NHWC", "HWNC", [4, 9, 7, 3])
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def testHWNCToNHWC(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([7, 4, 9, 3], dtype=dtype)
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self._runPermuteAndCompare(x, "HWNC", "NHWC", [9, 7, 4, 3])
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def testNHWCToNCHW2D(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=dtype)
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self._runPermuteAndCompare(x, "NHWC", "NCHW",
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[[7, 4], [5, 1], [9, 3], [4, 5]])
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def testNHWCToHWNC2D(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=dtype)
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self._runPermuteAndCompare(x, "NHWC", "HWNC",
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[[9, 3], [4, 5], [7, 4], [5, 1]])
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def testHWNCToNHWC2D(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=dtype)
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self._runPermuteAndCompare(x, "HWNC", "NHWC",
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[[4, 5], [7, 4], [9, 3], [5, 1]])
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def testNCHWToNHWC2D(self):
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for dtype in {np.int32, np.int64}:
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x = np.array([[7, 4], [9, 3], [4, 5], [5, 1]], dtype=dtype)
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self._runPermuteAndCompare(x, "NCHW", "NHWC",
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[[7, 4], [4, 5], [5, 1], [9, 3]])
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if __name__ == "__main__":
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test.main()
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