85 lines
2.9 KiB
C++
85 lines
2.9 KiB
C++
/*
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* Copyright (c) 2018-2020 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 "YOLOLayer.h"
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#include "ActivationLayer.h"
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#include "arm_compute/core/Types.h"
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#include "tests/validation/Helpers.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, typename std::enable_if<is_floating_point<T>::value, int>::type>
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SimpleTensor<T> yolo_layer(const SimpleTensor<T> &src, const ActivationLayerInfo &info, int32_t num_classes)
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{
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// Create reference
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SimpleTensor<T> dst{ src.shape(), src.data_type() };
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// Compute reference
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const T a(info.a());
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const T b(info.b());
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const uint32_t num_elements = src.num_elements();
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#if defined(_OPENMP)
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#pragma omp parallel for
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#endif /* _OPENMP */
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for(uint32_t i = 0; i < num_elements; ++i)
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{
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const size_t z = index2coord(dst.shape(), i).z() % (num_classes + 5);
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if(z != 2 && z != 3)
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{
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dst[i] = activate_float<T>(src[i], a, b, info.activation());
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}
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else
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{
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dst[i] = src[i];
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}
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}
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return dst;
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}
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template <>
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SimpleTensor<uint8_t> yolo_layer<uint8_t>(const SimpleTensor<uint8_t> &src, const ActivationLayerInfo &info, int32_t num_classes)
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{
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SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
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SimpleTensor<float> dst_tmp = yolo_layer<float>(src_tmp, info, num_classes);
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SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info());
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return dst;
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}
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template SimpleTensor<float> yolo_layer(const SimpleTensor<float> &src, const ActivationLayerInfo &info, int32_t num_classes);
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template SimpleTensor<half> yolo_layer(const SimpleTensor<half> &src, const ActivationLayerInfo &info, int32_t num_classes);
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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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