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/*
* 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 "QuantizationLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
void compute_min_max(const SimpleTensor<float> &src, float *min, float *max)
{
// Set min and max to first pixel
float tmp_min = src[0];
float tmp_max = src[0];
// Look for min and max values
for(int i = 1; i < src.num_elements(); ++i)
{
if(src[i] < tmp_min)
{
tmp_min = src[i];
}
if(src[i] > tmp_max)
{
tmp_max = src[i];
}
}
*min = tmp_min;
*max = tmp_max;
}
template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src)
{
// Create reference
SimpleTensor<uint8_t> dst{ src.shape(), DataType::U8 };
// Compute min and max of the tensor using Min-Max layer
float min = 0.f;
float max = 0.f;
compute_min_max(src, &min, &max);
const float range = max - min;
for(int i = 0; i < src.num_elements(); ++i)
{
// map values to range [0.0, 1.0]
const float normalized = (src[i] - min) / range;
dst[i] = static_cast<uint8_t>(std::min(255.0f, normalized * 256.0f));
}
return dst;
}
template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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