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41 lines
1.4 KiB
41 lines
1.4 KiB
9 years ago
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# Copyright (c) 2016 Baidu, Inc. 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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from py_paddle import swig_paddle
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import unittest
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class TestArguments(unittest.TestCase):
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def test_load_arguments(self):
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m = swig_paddle.Matrix.createDense([4, 2, 4, 3, 9, 5], 2, 3)
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args = swig_paddle.Arguments.createArguments(1)
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args.setSlotValue(0, m)
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mat = args.getSlotValue(0)
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assert isinstance(mat, swig_paddle.Matrix)
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np_mat = mat.toNumpyMatInplace()
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# The matrix unittest is in testMatrix.py
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self.assertEqual(np_mat.shape, (2, 3))
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args.setSlotIds(0, swig_paddle.IVector.create([1, 2, 3, 4, 5, 6]))
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iv = args.getSlotIds(0)
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assert isinstance(iv, swig_paddle.IVector)
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np_arr = iv.toNumpyArrayInplace()
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self.assertEqual(np_arr.shape, (6,))
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if __name__ == '__main__':
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swig_paddle.initPaddle("--use_gpu=0")
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unittest.main()
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