blob: c44c9838883a8bc1dfa1dd575de07030e6d3c12b [file] [log] [blame]
/*
* Copyright (c) 2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "MeanStdDevNormalizationLayer.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> mean_std_normalization_layer(const SimpleTensor<T> &src, float epsilon)
{
// Create reference
SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 };
const int cols = src.shape()[0];
const int batch_size = src.shape()[1];
for(int i = 0; i < batch_size; ++i)
{
T sum = static_cast<T>(0.f);
T sum_sq = static_cast<T>(0.f);
for(int j = 0; j < cols; ++j)
{
const T value = src[j + i * cols];
sum += value;
sum_sq += value * value;
}
const T mean = sum / static_cast<T>(cols);
const T var = ((sum_sq / static_cast<T>(cols)) - (mean * mean)) + static_cast<T>(epsilon);
const T stddev_inv = static_cast<T>(1.f) / static_cast<T>(std::sqrt(var));
for(int j = 0; j < cols; ++j)
{
dst[j + i * cols] = (src[j + i * cols] - mean) * stddev_inv;
}
}
return dst;
}
template SimpleTensor<float> mean_std_normalization_layer(const SimpleTensor<float> &src, float epsilon);
template SimpleTensor<half> mean_std_normalization_layer(const SimpleTensor<half> &src, float epsilon);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute