| /* |
| * 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 "Accumulate.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/FixedPoint.h" |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T1, typename T2> |
| SimpleTensor<T2> accumulate(const SimpleTensor<T1> &src, DataType output_data_type) |
| { |
| SimpleTensor<T2> dst{ src.shape(), output_data_type }; |
| |
| library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max())); |
| |
| using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type; |
| |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| intermediate_type val = static_cast<intermediate_type>(src[i]) + static_cast<intermediate_type>(dst[i]); |
| dst[i] = saturate_cast<T2>(val); |
| } |
| |
| return dst; |
| } |
| |
| template <typename T1, typename T2> |
| SimpleTensor<T2> accumulate_weighted(const SimpleTensor<T1> &src, float alpha, DataType output_data_type) |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(alpha < 0.f || alpha > 1.f, "Weight (alpha) specified in accumulate_weighted must be within the range [0, 1]"); |
| |
| SimpleTensor<T2> dst{ src.shape(), output_data_type }; |
| |
| library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max())); |
| |
| using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type; |
| |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| double val = (1. - static_cast<double>(alpha)) * static_cast<intermediate_type>(dst[i]) + static_cast<double>(alpha) * static_cast<intermediate_type>(src[i]); |
| dst[i] = static_cast<T2>(val); |
| } |
| |
| return dst; |
| } |
| |
| template <typename T1, typename T2> |
| SimpleTensor<T2> accumulate_squared(const SimpleTensor<T1> &src, uint32_t shift, DataType output_data_type) |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(shift > 15, "Shift in accumulate_squared must be within the range [0, 15]"); |
| |
| SimpleTensor<T2> dst{ src.shape(), output_data_type }; |
| |
| library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max())); |
| |
| using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type; |
| intermediate_type denom = 1 << shift; |
| |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| intermediate_type val = static_cast<intermediate_type>(dst[i]) + (static_cast<intermediate_type>(src[i]) * static_cast<intermediate_type>(src[i]) / denom); |
| dst[i] = saturate_cast<T2>(val); |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<int16_t> accumulate(const SimpleTensor<uint8_t> &src, DataType output_data_type); |
| template SimpleTensor<uint8_t> accumulate_weighted(const SimpleTensor<uint8_t> &src, float alpha, DataType output_data_type); |
| template SimpleTensor<int16_t> accumulate_squared(const SimpleTensor<uint8_t> &src, uint32_t shift, DataType output_data_type); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |