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72 lines
1.8 KiB
72 lines
1.8 KiB
6 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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from __future__ import print_function
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import unittest
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import numpy as np
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import six
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from op_test import OpTest
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class SeluTest(OpTest):
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def setUp(self):
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self.op_type = "selu"
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self.x_shape = [3, 5, 5, 10]
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self.dtype = np.float32
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self.init_x_shape()
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self.init_dtype()
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alpha = 1.6732632423543772848170429916717
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scale = 1.0507009873554804934193349852946
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x = np.random.normal(size=self.x_shape).astype(self.dtype)
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# Since zero point in selu is not differentiable, avoid randomize
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# zero.
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x[np.abs(x) < 0.005] = 0.02
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x_flat = x.flatten()
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for i in range(x_flat.size):
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if x_flat[i] < 0:
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x_flat[i] = alpha * np.exp(x_flat[i]) - alpha
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x_flat[i] = scale * x_flat[i]
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out_np = x_flat.reshape(self.x_shape)
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self.inputs = {'X': x}
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self.outputs = {'Out': out_np}
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self.attrs = {
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'alpha': alpha,
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'scale': scale,
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}
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def init_x_shape(self):
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pass
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def init_dtype(self):
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pass
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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if __name__ == "__main__":
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unittest.main()
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