| # Copyright 2016 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 ensure_shape_op.""" |
| |
| from tensorflow.compiler.tests import xla_test |
| from tensorflow.python.framework import dtypes |
| from tensorflow.python.framework import errors_impl |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.ops import check_ops |
| from tensorflow.python.platform import test |
| |
| |
| class EnsureShapeOpTest(xla_test.XLATestCase): |
| |
| def testEnsureShape(self): |
| with self.session() as sess: |
| p = array_ops.placeholder(dtypes.int32) |
| with self.test_scope(): |
| op = check_ops.ensure_shape(p, (None, 3)) |
| expected_out = [[0, 1, 2], [3, 4, 5], [6, 7, 8]] |
| self.assertAllEqual(expected_out, |
| sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]})) |
| |
| def testInvalidEnsureShape(self): |
| with self.session() as sess: |
| p = array_ops.placeholder(dtypes.int32) |
| with self.test_scope(): |
| op = check_ops.ensure_shape(p, (None, 3, 3)) |
| with self.assertRaisesRegex(errors_impl.InvalidArgumentError, |
| "is not compatible with expected shape"): |
| sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]}) |
| |
| |
| if __name__ == "__main__": |
| test.main() |