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38 lines
1.3 KiB
38 lines
1.3 KiB
7 years ago
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# Copyright (c) 2018 PaddlePaddle 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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7 years ago
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import paddle.v2.fluid as fluid
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import paddle.v2.fluid.layers as layers
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import op_test
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import numpy
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import unittest
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class TestFetchVar(op_test.OpTest):
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def test_fetch_var(self):
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val = numpy.array([1, 3, 5]).astype(numpy.int32)
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x = layers.create_tensor(dtype="int32", persistable=True, name="x")
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layers.assign(input=val, output=x)
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exe = fluid.Executor(fluid.CPUPlace())
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exe.run(fluid.default_main_program(), feed={}, fetch_list=[])
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fetched_x = fluid.fetch_var("x")
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self.assertTrue(
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numpy.array_equal(fetched_x, val),
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"fetch_x=%s val=%s" % (fetched_x, val))
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self.assertEqual(fetched_x.dtype, val.dtype)
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if __name__ == '__main__':
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unittest.main()
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