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# Copyright (c) 2019 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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from __future__ import print_function
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import unittest
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import paddle.fluid as fluid
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from paddle.fluid.imperative.base import to_variable
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import numpy as np
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class Split_test(fluid.imperative.Layer):
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def __init__(self):
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super(Split_test, self).__init__()
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def _build_once(self, input):
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pass
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def forward(self, input):
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out = fluid.layers.split(input, num_or_sections=4, dim=-1)
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return out
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class TestImperativePtbRnn(unittest.TestCase):
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def test_spilt(self):
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with fluid.imperative.guard():
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inp = to_variable(np.arange(160).reshape(4, 40).astype('float32'))
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st = Split_test()
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out = st(inp)
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if __name__ == '__main__':
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unittest.main()
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