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72 lines
2.3 KiB
72 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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import unittest
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import numpy as np
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from op_test import OpTest
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def norm(input, scale, epsilon):
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s0, s1, s2, s3 = input.shape
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x_square = input * input
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for i in xrange(s0):
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input_batch = input[i:i + 1, :, :, :]
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input_batch = input_batch.reshape(s1, s2 * s3)
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x_square_batch = x_square[i:i + 1, :, :, :]
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x_square_batch = x_square_batch.reshape(s1, s2 * s3)
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square_colsum = x_square_batch.sum(axis=0) + epsilon
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tmp = pow(square_colsum, 0.5)
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tmp = np.reciprocal(tmp)
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tmp_tile = np.tile(tmp, s1)
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tmp_tile = tmp_tile.reshape(s1, s2 * s3)
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scale_tile = np.tile(scale, (1, s2 * s3))
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scale_tile = scale_tile.reshape(s1, s2 * s3)
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out_batch = input_batch * tmp_tile * scale_tile
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out_batch = out_batch.reshape(1, s1, s2, s3)
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if i == 0:
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out = out_batch
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else:
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out = np.concatenate((out, out_batch), 0)
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out.reshape(s0, s1, s2, s3)
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return out
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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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input = np.random.random(self.shape).astype("float32")
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scale = np.array([10, 10, 10])
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self.inputs = {
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'X': input.astype('float32'),
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'Scale': scale.astype('float32')
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}
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self.attrs = {'epsilon': self.epsilon}
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output = norm(input, scale, self.epsilon)
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self.outputs = {'Out': output.astype('float32')}
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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, 2, 2]
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self.epsilon = 1e-6
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if __name__ == '__main__':
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unittest.main()
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