/* * Copyright (c) 2017-2019 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. */ #pragma once #ifdef __aarch64__ namespace arm_gemm { // Actual kernel implementations void a64_sgemv_pretransposed(const float *, int, const float *, float *, float, int, int); // Pretransposed SGEMV strategy class. class sgemv_pretransposed { public: typedef float operand_type; typedef float result_type; typedef void (*kern_type)(const float *, int, const float *, float *, float, int, int); /* Describes the data layout for matrix (A) input */ /* Note that often GEMV is expressed as a GEMM with M=1, i.e. A is the * (row) vector and B is the matrix, but the standard GEMV arrangement * is matrix A times (column) vector X. "A_transpose" is expressed in * terms of this standard arrangement, so if the A matrix is in fact the * B matrix from a GEMM call, the sense of the transpose needs to be * reversed. */ static constexpr unsigned int A_interleave() { return 32; } static constexpr unsigned int A_block() { return 1; } static constexpr bool A_transpose() { return false; } /* Kernel blocking parameters */ static constexpr unsigned int out_width() { return 32; } static constexpr unsigned int k_unroll() { return 1; } kern_type kernel = a64_sgemv_pretransposed; sgemv_pretransposed(const CPUInfo *ci) { } }; } // namespace arm_gemm #endif // __aarch64__