45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for numpy_dataset."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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from tensorflow.python.distribute import numpy_dataset
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from tensorflow.python.eager import test
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import variable_scope
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class InitVarFromNumpyTest(test.TestCase):
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@test_util.run_in_graph_and_eager_modes
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def test_creating_var_with_numpy_arrays(self):
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with self.cached_session() as session:
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x = np.asarray(np.random.random((64, 3)), dtype=np.float32)
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initial = np.zeros_like(x)
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var_x = variable_scope.variable(initial)
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numpy_dataset.init_var_from_numpy(var_x, x, session)
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val = self.evaluate(var_x.value())
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# Verify that the numpy value is copied to the variable.
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self.assertAllEqual(x, val)
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if __name__ == '__main__':
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test.main()
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