| /* |
| * Copyright (c) 2017-2020 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 "gemm_common.hpp" |
| #include "gemm_hybrid.hpp" |
| #include "gemm_hybrid_indirect.hpp" |
| #include "gemm_implementation.hpp" |
| #include "gemm_interleaved.hpp" |
| #include "gemv_batched.hpp" |
| #include "gemv_pretransposed.hpp" |
| |
| #include "kernels/a32_sgemm_8x6.hpp" |
| #include "kernels/a64_gemv_fp32_mla_32.hpp" |
| #include "kernels/a64_hybrid_fp32_mla_6x16.hpp" |
| #include "kernels/a64_hybrid_fp32_mla_8x4.hpp" |
| #include "kernels/a64_sgemm_8x12.hpp" |
| #include "kernels/a64_smallK_hybrid_fp32_mla_6x4.hpp" |
| #include "kernels/a64_smallK_hybrid_fp32_mla_8x4.hpp" |
| |
| #include "kernels/sve_gemv_fp32_mla_8VL.hpp" |
| #include "kernels/sve_hybrid_fp32_mla_6x4VL.hpp" |
| #include "kernels/sve_hybrid_fp32_mla_8x1VL.hpp" |
| #include "kernels/sve_interleaved_fp32_mla_8x3VL.hpp" |
| #include "kernels/sve_interleaved_fp32_mmla_8x3VL.hpp" |
| #include "kernels/sve_smallK_hybrid_fp32_mla_8x1VL.hpp" |
| |
| namespace arm_gemm { |
| |
| static const GemmImplementation<float, float> gemm_fp32_methods[] = |
| { |
| // GEMV cases - starting with 'gemv_batched' wrapper to turn batched GEMV into GEMM. |
| { |
| GemmMethod::GEMV_BATCHED, |
| "gemv_batched", |
| [](const GemmArgs &args) { return args._Msize==1 && args._nbatches>1 && !args._indirect_input; }, |
| nullptr, |
| [](const GemmArgs &args) { return new GemvBatched<float, float>(args); } |
| }, |
| #ifdef __aarch64__ |
| #ifdef __ARM_FEATURE_SVE |
| { |
| GemmMethod::GEMM_HYBRID, |
| "sve_gemv_fp32_mla_8VL", |
| [](const GemmArgs &args) { return args._ci->has_sve() && args._Msize==1 && args._nbatches==1 && !args._indirect_input; }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN; }, |
| [](const GemmArgs &args) { return new GemvPretransposed<cls_sve_gemv_fp32_mla_8VL, float, float>(args); } |
| }, |
| #endif |
| { |
| GemmMethod::GEMM_HYBRID, |
| "a64_gemv_fp32_mla_32", |
| [](const GemmArgs &args) { return args._Msize==1 && args._nbatches==1 && !args._indirect_input; }, |
| nullptr, |
| [](const GemmArgs &args) { return new GemvPretransposed<cls_a64_gemv_fp32_mla_32, float, float>(args); } |
| }, |
| |
| // MMLA next due to higher throughput (SVE only) |
| #if defined(__ARM_FEATURE_SVE) && defined(MMLA_FP32) |
| { |
| GemmMethod::GEMM_INTERLEAVED, |
| "sve_interleaved_fp32_mmla_8x3VL", |
| [](const GemmArgs &args) { return args._ci->has_sve() && (args._Ksize>4); }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN; }, |
| [](const GemmArgs &args) { return new GemmInterleaved<cls_sve_interleaved_fp32_mmla_8x3VL, float, float>(args); } |
| }, |
| #endif // __ARM_FEATURE_SVE && MMLA_FP32 |
| |
| #ifdef __ARM_FEATURE_SVE |
| // SVE smallk / hybrid methods |
| { |
| GemmMethod::GEMM_HYBRID, |
| "sve_smallK_hybrid_fp32_mla_8x1VL", |
| [](const GemmArgs &args) { return args._ci->has_sve() && args._Ksize <= 24 && !args._indirect_input; }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN; }, |
| [](const GemmArgs &args) { return new GemmHybrid<cls_sve_smallK_hybrid_fp32_mla_8x1VL, float, float>(args); } |
| }, |
| { |
| GemmMethod::GEMM_HYBRID, |
| "sve_hybrid_fp32_mla_8x1VL", |
| [](const GemmArgs &args) { return args._ci->has_sve(); }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN && (args._Nsize < 12); }, |
| [](const GemmArgs &args) { return new GemmHybridIndirect<cls_sve_hybrid_fp32_mla_8x1VL, float, float>(args); } |
| }, |
| { |
| GemmMethod::GEMM_HYBRID, |
| "sve_hybrid_fp32_mla_6x4VL", |
| [](const GemmArgs &args) { return args._ci->has_sve(); }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN && (((args._Ksize <= 256) && (args._Nsize <= 256)) || ((args._nmulti > 1) && ((args._Msize / args._maxthreads) < 8))); }, |
| [](const GemmArgs &args) { return new GemmHybridIndirect<cls_sve_hybrid_fp32_mla_6x4VL, float, float>(args); } |
| }, |
| #endif // __ARM_FEATURE_SVE |
| |
| // Neon hybrid methods |
| { |
| GemmMethod::GEMM_HYBRID, |
| "a64_smallK_hybrid_fp32_mla_8x4", |
| [](const GemmArgs &args) { return args._Ksize <= 8 && (args._Nsize % 4)==0 && !args._indirect_input; }, |
| nullptr, |
| [](const GemmArgs &args) { return new GemmHybrid<cls_a64_smallK_hybrid_fp32_mla_8x4, float, float>(args); } |
| }, |
| { |
| GemmMethod::GEMM_HYBRID, |
| "a64_smallK_hybrid_fp32_mla_6x4", |
| [](const GemmArgs &args) { return (args._Ksize > 8 && args._Ksize <= 16) && (args._Nsize % 4)==0 && !args._indirect_input; }, |
| nullptr, |
| [](const GemmArgs &args) { return new GemmHybrid<cls_a64_smallK_hybrid_fp32_mla_6x4, float, float>(args); } |
| }, |
| { |
| GemmMethod::GEMM_HYBRID, |
| "a64_hybrid_fp32_mla_8x4", |
| nullptr, |
| [](const GemmArgs &args) { return (args._Nsize < 12); }, |
| [](const GemmArgs &args) { return new GemmHybridIndirect<cls_a64_hybrid_fp32_mla_8x4, float, float>(args); } |
| }, |
| GemmImplementation<float, float>::with_estimate( |
| GemmMethod::GEMM_HYBRID, |
| "a64_hybrid_fp32_mla_6x16", |
| nullptr, |
| [](const GemmArgs &args) { return GemmHybridIndirect<cls_a64_hybrid_fp32_mla_6x16, float, float>::estimate_cycles(args, cls_a64_hybrid_fp32_mla_6x16::get_performance_parameters(args._ci)); }, |
| [](const GemmArgs &args) { return new GemmHybridIndirect<cls_a64_hybrid_fp32_mla_6x16, float, float>(args); } |
| ), |
| #ifdef __ARM_FEATURE_SVE |
| { |
| GemmMethod::GEMM_INTERLEAVED, |
| "sve_interleaved_fp32_mla_8x3VL", |
| [](const GemmArgs &args) { return args._ci->has_sve() && (args._Ksize>4); }, |
| [](const GemmArgs &args) { return args._ci->get_cpu_model() != CPUModel::KLEIN; }, |
| [](const GemmArgs &args) { return new GemmInterleaved<cls_sve_interleaved_fp32_mla_8x3VL, float, float>(args); } |
| }, |
| #endif // __ARM_FEATURE_SVE |
| GemmImplementation<float, float>::with_estimate( |
| GemmMethod::GEMM_INTERLEAVED, |
| "a64_sgemm_8x12", |
| nullptr, |
| [](const GemmArgs &args) { return GemmInterleaved<cls_a64_sgemm_8x12, float, float>::estimate_cycles(args, cls_a64_sgemm_8x12::get_performance_parameters(args._ci)); }, |
| [](const GemmArgs &args) { return new GemmInterleaved<cls_a64_sgemm_8x12, float, float>(args); } |
| ), |
| #endif // __aarch64__ |
| |
| #ifdef __arm__ |
| { |
| GemmMethod::GEMM_INTERLEAVED, |
| "sgemm_8x6", |
| nullptr, |
| nullptr, |
| [](const GemmArgs &args) { return new GemmInterleaved<sgemm_8x6, float, float>(args); } |
| }, |
| #endif // __arm__ |
| { |
| GemmMethod::DEFAULT, |
| "", |
| nullptr, |
| nullptr, |
| nullptr |
| } |
| }; |
| |
| /* Templated function to return this list. */ |
| template<> |
| const GemmImplementation<float, float> *gemm_implementation_list<float, float>() { |
| return gemm_fp32_methods; |
| } |
| |
| /* Explicitly instantiate the external functions for these types. */ |
| template UniqueGemmCommon<float, float> gemm<float, float, Nothing>(const GemmArgs &args, const Nothing &); |
| template KernelDescription get_gemm_method<float, float, Nothing>(const GemmArgs &args, const Nothing &); |
| template std::vector<KernelDescription> get_compatible_kernels<float, float, Nothing> (const GemmArgs &args, const Nothing &); |
| |
| } // namespace arm_gemm |