| /* |
| * 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 "impl_base.hpp" |
| |
| // TODO Move to common utilities somewhere |
| template <size_t Size> struct DType { }; |
| template <> struct DType<1> { using scalar_type = uint8_t; }; |
| template <> struct DType<2> { using scalar_type = uint16_t; }; |
| template <> struct DType<4> { using scalar_type = uint32_t; }; |
| |
| namespace depthwise |
| { |
| |
| template <unsigned int KernelRows, unsigned int KernelColumns, size_t WeightSize, size_t BiasSize> |
| void PackParameters<KernelRows, KernelColumns, WeightSize, BiasSize>::execute( |
| unsigned int n_channels, |
| void *buffer, |
| const void *weights, |
| const unsigned int weight_row_stride, |
| const unsigned int weight_col_stride, |
| const void *biases |
| ) |
| { |
| using TWeight = typename DType<WeightSize>::scalar_type; |
| using TBias = typename DType<BiasSize>::scalar_type; |
| |
| auto buffer_ptr = static_cast<uint8_t *>(buffer); |
| auto weights_ptr = static_cast<const TWeight *>(weights); |
| auto biases_ptr = static_cast<const TBias *>(biases); |
| |
| const unsigned int veclen = 16 / WeightSize; |
| for (; n_channels >= veclen; n_channels -= veclen) |
| { |
| // Copy biases |
| for (unsigned int i = 0; i < veclen; i++) |
| { |
| auto ptr = reinterpret_cast<TBias *>(buffer_ptr); |
| *ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++); |
| buffer_ptr += BiasSize; |
| } |
| |
| // Copy weights |
| for (unsigned int i = 0; i < KernelRows; i++) |
| { |
| for (unsigned int j = 0; j < KernelColumns; j++) |
| { |
| for (unsigned int c = 0; c < veclen; c++) |
| { |
| *(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride + c]; |
| buffer_ptr += WeightSize; |
| } |
| } |
| } |
| weights_ptr += veclen; |
| } |
| for (; n_channels; n_channels--) |
| { |
| // Copy bias |
| auto ptr = reinterpret_cast<TBias *>(buffer_ptr); |
| *ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++); |
| buffer_ptr += BiasSize; |
| |
| // Copy weights |
| for (unsigned int i = 0; i < KernelRows; i++) |
| { |
| for (unsigned int j = 0; j < KernelColumns; j++) |
| { |
| *(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride]; |
| buffer_ptr += WeightSize; |
| } |
| } |
| weights_ptr++; |
| } |
| } |
| |
| template struct PackParameters<3, 3, 2ul, 2ul>; |
| template struct PackParameters<3, 3, 4ul, 4ul>; |
| template struct PackParameters<5, 5, 2ul, 2ul>; |
| template struct PackParameters<5, 5, 4ul, 4ul>; |
| } // namespace |