52 lines
1.4 KiB
52 lines
1.4 KiB
# 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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import unittest
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import paddle.v2.data_type as data_type
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import paddle.v2.layer as layer
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import paddle.v2.op as op
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class OpTest(unittest.TestCase):
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def test_op(self):
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x = layer.data(name='data', type=data_type.dense_vector(128))
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x = op.exp(x)
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x = op.sqrt(x)
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x = op.reciprocal(x)
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x = op.log(x)
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x = op.abs(x)
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x = op.sigmoid(x)
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x = op.tanh(x)
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x = op.square(x)
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x = op.relu(x)
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y = 1 + x
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y = y + 1
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y = x + y
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y = y - x
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y = y - 2
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y = 2 - y
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y = 2 * y
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y = y * 3
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z = layer.data(name='data_2', type=data_type.dense_vector(1))
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y = y * z
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y = z * y
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y = y + z
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y = z + y
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print layer.parse_network(y)
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if __name__ == '__main__':
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unittest.main()
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