| # Copyright 2019 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. |
| # ============================================================================== |
| """Test cases for manip ops.""" |
| |
| 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 manip_ops |
| from tensorflow.python.platform import googletest |
| |
| |
| class ManipOpsTest(xla_test.XLATestCase): |
| """Test cases for manip ops.""" |
| |
| def _testRoll(self, a, shift, axis): |
| with self.session() as session: |
| with self.test_scope(): |
| p = array_ops.placeholder(dtypes.as_dtype(a.dtype), a.shape, name="a") |
| output = manip_ops.roll(a, shift, axis) |
| result = session.run(output, {p: a}) |
| self.assertAllEqual(result, np.roll(a, shift, axis)) |
| |
| def testNumericTypes(self): |
| for t in self.numeric_types: |
| self._testRoll(np.random.randint(-100, 100, (5)).astype(t), 3, 0) |
| self._testRoll( |
| np.random.randint(-100, 100, (4, 4, 3)).astype(t), [1, -6, 6], |
| [0, 1, 2]) |
| self._testRoll( |
| np.random.randint(-100, 100, (4, 2, 1, 3)).astype(t), [0, 1, -2], |
| [1, 2, 3]) |
| |
| def testFloatTypes(self): |
| for t in self.float_types: |
| self._testRoll(np.random.rand(5).astype(t), 2, 0) |
| self._testRoll(np.random.rand(3, 4).astype(t), [1, 2], [1, 0]) |
| self._testRoll(np.random.rand(1, 3, 4).astype(t), [1, 0, -3], [0, 1, 2]) |
| |
| def testComplexTypes(self): |
| for t in self.complex_types: |
| x = np.random.rand(4, 4).astype(t) |
| self._testRoll(x + 1j * x, 2, 0) |
| x = np.random.rand(2, 5).astype(t) |
| self._testRoll(x + 1j * x, [1, 2], [1, 0]) |
| x = np.random.rand(3, 2, 1, 1).astype(t) |
| self._testRoll(x + 1j * x, [2, 1, 1, 0], [0, 3, 1, 2]) |
| |
| |
| if __name__ == "__main__": |
| googletest.main() |