| # Copyright 2021 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 tensorflow.ops.array_ops.repeat.""" |
| |
| from tensorflow.compiler.tests import xla_test |
| from tensorflow.python.eager import def_function |
| from tensorflow.python.framework import dtypes |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.platform import test |
| |
| |
| class RepeatTest(xla_test.XLATestCase): |
| |
| def test(self): |
| |
| # Verifies that bounded dynamic result generated from the Where op can be |
| # Reshaped correctly. |
| @def_function.function(jit_compile=True) |
| def repeat(values, repeats, axis): |
| return array_ops.repeat(values, repeats, axis) |
| |
| with self.session() as sess: |
| with self.test_scope(): |
| values = array_ops.constant([[1, 2], [3, 4]], dtype=dtypes.int32) |
| repeats = array_ops.constant([1, 2], dtype=dtypes.int32) |
| y1 = repeat(values, repeats, 0) |
| y2 = repeat(values, repeats, 1) |
| actual1, actual2 = sess.run([y1, y2]) |
| |
| self.assertAllEqual(actual1, [[1, 2], [3, 4], [3, 4]]) |
| self.assertAllEqual(actual2, [[1, 2, 2], [3, 4, 4]]) |
| |
| |
| if __name__ == "__main__": |
| test.main() |