| # 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. |
| # ============================================================================== |
| """Tests for numpy_dataset.""" |
| |
| import numpy as np |
| |
| from tensorflow.python.distribute import numpy_dataset |
| from tensorflow.python.eager import test |
| from tensorflow.python.framework import test_util |
| from tensorflow.python.ops import variable_v1 |
| |
| |
| class InitVarFromNumpyTest(test.TestCase): |
| |
| @test_util.run_in_graph_and_eager_modes |
| def test_creating_var_with_numpy_arrays(self): |
| with self.cached_session() as session: |
| x = np.asarray(np.random.random((64, 3)), dtype=np.float32) |
| initial = np.zeros_like(x) |
| var_x = variable_v1.VariableV1(initial) |
| numpy_dataset.init_var_from_numpy(var_x, x, session) |
| val = self.evaluate(var_x.value()) |
| # Verify that the numpy value is copied to the variable. |
| self.assertAllEqual(x, val) |
| |
| |
| if __name__ == '__main__': |
| test.main() |