| # Copyright 2023 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 bincount using the XLA JIT.""" |
| from tensorflow.compiler.tests import xla_test |
| from tensorflow.python.framework import errors |
| from tensorflow.python.ops import gen_math_ops |
| from tensorflow.python.platform import googletest |
| |
| |
| class BincountTest(xla_test.XLATestCase): |
| |
| def testInputRank0(self): |
| with self.session(): |
| with self.test_scope(): |
| bincount = gen_math_ops.bincount(arr=6, size=804, weights=[52, 351]) |
| |
| with self.assertRaisesRegex( |
| errors.InvalidArgumentError, |
| ( |
| "`weights` must be the same shape as `arr` or a length-0" |
| " `Tensor`, in which case it acts as all weights equal to 1." |
| ), |
| ): |
| self.evaluate(bincount) |
| |
| |
| if __name__ == "__main__": |
| googletest.main() |