blob: 1c7ec25255c74fe0ace2ac7822694891a30cb43d [file] [log] [blame]
/*
* Copyright (c) 2017 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 "DequantizationLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
SimpleTensor<float> dequantization_layer(const SimpleTensor<T> &src, float min, float max)
{
// Create reference
SimpleTensor<float> dst{ src.shape(), DataType::F32 };
const float range = max - min;
const float scaling = range / 255.0f;
for(int i = 0; i < src.num_elements(); ++i)
{
dst[i] = (static_cast<float>(src[i]) * scaling) + min;
}
return dst;
}
template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src, float min, float max);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute