72 lines
2.5 KiB
C++
72 lines
2.5 KiB
C++
/*
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* Copyright (c) 2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "MeanStdDevNormalizationLayer.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace reference
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{
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template <typename T>
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SimpleTensor<T> mean_std_normalization_layer(const SimpleTensor<T> &src, float epsilon)
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{
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// Create reference
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SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 };
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const int cols = src.shape()[0];
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const int batch_size = src.shape()[1];
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for(int i = 0; i < batch_size; ++i)
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{
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T sum = static_cast<T>(0.f);
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T sum_sq = static_cast<T>(0.f);
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for(int j = 0; j < cols; ++j)
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{
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const T value = src[j + i * cols];
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sum += value;
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sum_sq += value * value;
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}
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const T mean = sum / static_cast<T>(cols);
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const T var = ((sum_sq / static_cast<T>(cols)) - (mean * mean)) + static_cast<T>(epsilon);
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const T stddev_inv = static_cast<T>(1.f) / static_cast<T>(std::sqrt(var));
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for(int j = 0; j < cols; ++j)
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{
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dst[j + i * cols] = (src[j + i * cols] - mean) * stddev_inv;
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}
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}
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return dst;
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}
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template SimpleTensor<float> mean_std_normalization_layer(const SimpleTensor<float> &src, float epsilon);
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template SimpleTensor<half> mean_std_normalization_layer(const SimpleTensor<half> &src, float epsilon);
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} // namespace reference
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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