/* * Copyright (c) 2021 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 "arm_gemm.hpp" #include "src/core/NEON/kernels/arm_gemm/utils.hpp" #include "src/core/NEON/kernels/assembly/depthwise.hpp" #include #include using namespace arm_gemm; size_t generic_get_packed_size( const VLType vec_type, const unsigned int acc_depth, const unsigned int kernel_rows, const unsigned int kernel_cols, const unsigned int n_input_channels ) { const auto per_iter = acc_depth * arm_gemm::utils::get_vector_length(vec_type); return arm_gemm::roundup((long unsigned int) n_input_channels, per_iter) * kernel_rows * kernel_cols * sizeof(int8_t); } void generic_pack( const VLType vec_type, const unsigned int acc_depth, const unsigned int kernel_rows, const unsigned int kernel_cols, const unsigned int n_channels, void *_outptr, const void *_weights, size_t ld_weight_col, size_t ld_weight_row ) { int8_t *outptr = reinterpret_cast(_outptr); const int8_t *weights = reinterpret_cast(_weights); // Get the strides ld_weight_col = (ld_weight_col == 0) ? n_channels * sizeof(int8_t) : ld_weight_col; ld_weight_row = (ld_weight_row == 0) ? kernel_cols * ld_weight_col : ld_weight_row; // Pack into per-iter chunks. const auto per_iter = acc_depth * arm_gemm::utils::get_vector_length(vec_type); for (unsigned int c = 0; c < n_channels; c += per_iter) { auto weight_row = weights + c; const auto to_copy = std::min(per_iter, n_channels - c); for (unsigned int i = 0; i < kernel_rows; i++) { auto weight_col = weight_row; for (unsigned int j = 0; j < kernel_cols; j++) { memcpy(outptr, weight_col, to_copy); outptr += per_iter; weight_col += ld_weight_col; } weight_row += ld_weight_row; } } } #define ADD_IMPLEMENTATION(ARCH, TYPENAME, TYPE, VEC_TYPE, ACC_DEPTH, KERN_ROWS, KERN_COLS) \ struct interleave_ ## ARCH ## _ ## TYPENAME ## _ ## KERN_ROWS ## x ## KERN_COLS ## _mla \ { \ static size_t get_packed_size(const DepthwiseArgs &args); \ static void pack_parameters( \ unsigned int n_channels, void *outptr, \ const TYPE *weights, size_t ld_weight_col, size_t ld_weight_row \ ); \ }; \ \ size_t interleave_ ## ARCH ## _ ## TYPENAME ## _ ## KERN_ROWS ## x ## KERN_COLS ## _mla::get_packed_size(const DepthwiseArgs &args) \ { \ return generic_get_packed_size(VLType::VEC_TYPE, ACC_DEPTH, KERN_ROWS, KERN_COLS, args.input_channels); \ } \ \ void interleave_ ## ARCH ## _ ## TYPENAME ## _ ## KERN_ROWS ## x ## KERN_COLS ## _mla::pack_parameters(unsigned int n_channels, void *outptr, \ const TYPE *weights, size_t ld_weight_col, size_t ld_weight_row) \ { \ generic_pack(VLType::VEC_TYPE, ACC_DEPTH, KERN_ROWS, KERN_COLS, n_channels, outptr, weights, ld_weight_col, ld_weight_row); \ } namespace arm_conv { namespace depthwise { #if defined(__ARM_FEATURE_SVE) ADD_IMPLEMENTATION(sve, s8q, int8_t, SVE, 2, 3, 3) ADD_IMPLEMENTATION(sve, s8q, int8_t, SVE, 2, 5, 5) ADD_IMPLEMENTATION(sve, u8q, uint8_t, SVE, 2, 3, 3) ADD_IMPLEMENTATION(sve, u8q, uint8_t, SVE, 2, 5, 5) #endif // defined(__ARM_FEATURE_SVE) ADD_IMPLEMENTATION(a64, s8q, int8_t, None, 2, 3, 3) ADD_IMPLEMENTATION(a64, s8q, int8_t, None, 2, 5, 5) ADD_IMPLEMENTATION(a64, u8q, uint8_t, None, 2, 3, 3) ADD_IMPLEMENTATION(a64, u8q, uint8_t, None, 2, 5, 5) } // namespace depthwise } // namespace arm_conv