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90 lines
2.3 KiB
90 lines
2.3 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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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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def l2_norm(x, axis, epsilon):
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x2 = x**2
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s = np.sum(x2, axis=axis, keepdims=True)
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r = np.sqrt(s + epsilon)
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y = x / np.broadcast_to(r, x.shape)
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return y, r
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class TestNormOp(OpTest):
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def setUp(self):
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self.op_type = "norm"
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self.init_test_case()
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x = np.random.random(self.shape).astype("float64")
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y, norm = l2_norm(x, self.axis, self.epsilon)
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self.inputs = {'X': x}
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self.attrs = {'epsilon': self.epsilon, 'axis': self.axis}
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self.outputs = {'Out': y, 'Norm': norm}
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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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def init_test_case(self):
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self.shape = [2, 3, 4, 4]
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self.axis = 1
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self.epsilon = 1e-8
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class TestNormOp2(TestNormOp):
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def init_test_case(self):
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self.shape = [5, 3, 9, 7]
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self.axis = 0
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self.epsilon = 1e-8
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class TestNormOp3(TestNormOp):
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def init_test_case(self):
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self.shape = [5, 3, 2, 7]
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self.axis = -1
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self.epsilon = 1e-8
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class TestNormOp4(TestNormOp):
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def init_test_case(self):
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self.shape = [128, 1024, 14, 14]
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self.axis = 2
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self.epsilon = 1e-8
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def test_check_grad(self):
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# since the gradient check is very slow in large shape, so skip check_grad
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pass
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class TestNormOp5(TestNormOp):
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def init_test_case(self):
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self.shape = [2048, 2048]
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self.axis = 1
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self.epsilon = 1e-8
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def test_check_grad(self):
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# since the gradient check is very slow in large shape, so skip check_grad
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pass
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if __name__ == '__main__':
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unittest.main()
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