/* * Copyright (c) 2020-2021 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 "src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultConfigReshapedRhsOnlyValhall.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/GPUTarget.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "src/core/gpu/cl/kernels/gemm/ClGemmHelpers.h" #include namespace arm_compute { namespace opencl { namespace kernels { namespace gemm { using namespace arm_compute::misc::shape_calculator; ClGemmDefaultConfigReshapedRhsOnlyValhall::ClGemmDefaultConfigReshapedRhsOnlyValhall(GPUTarget gpu) : IClGemmKernelConfig(gpu) { } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) { using ConfigurationFunctionExecutorPtr = std::pair (ClGemmDefaultConfigReshapedRhsOnlyValhall::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b); CLGEMMConfigArray configs_G77(&ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f32, &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f16, &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_u8); CLGEMMConfigArray configs_G78(&ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f32, &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f16, &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_u8); ConfigurationFunctionExecutorPtr func = nullptr; switch(_target) { case GPUTarget::G78: func = configs_G78.get_function(data_type); break; case GPUTarget::G77: default: func = configs_G77.get_function(data_type); break; } ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not support for GEMM"); return (this->*func)(m, n, k, b); } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) { if(m == 1) { const float r_mn = static_cast(m) / static_cast(n); const float r_mk = static_cast(m) / static_cast(k); if(r_mk <= 0.0064484127797186375) { if(r_mn <= 0.0028273810748942196) { GEMMLHSMatrixInfo lhs_info_buf; GEMMRHSMatrixInfo rhs_info_buf; GEMMLHSMatrixInfo lhs_info_img; GEMMRHSMatrixInfo rhs_info_img; const unsigned int h0 = std::max(n / 4, 1U); std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 8, 1, 16, 0, 1, 0, 0, 1); std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 4, 1, h0, 0, 1, 0, 1, 0); return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img), std::make_pair(lhs_info_buf, rhs_info_buf), n, k, b, DataType::F32); } else { return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 8, 0, 1, 0, 0, 0); } } else { if(r_mk <= 0.020312500186264515) { return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 4, 0, 1, 0, 0, 0); } else { return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, 0, 1, 0, 1, 0); } } } else { const float r_mn = static_cast(m) / static_cast(n); const float workload = (static_cast(m) * static_cast(n) * static_cast(b)) / 20.0f; const float r_mk = static_cast(m) / static_cast(k); if(workload <= 1999.2000122070312) { if(workload <= 747.1999816894531) { return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); } else { GEMMLHSMatrixInfo lhs_info_buf; GEMMRHSMatrixInfo rhs_info_buf; GEMMLHSMatrixInfo lhs_info_img; GEMMRHSMatrixInfo rhs_info_img; std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, 0, 0, 0, 1, 1); std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img), std::make_pair(lhs_info_buf, rhs_info_buf), n, k, b, DataType::F32); } } else { if(r_mn <= 0.03348214365541935) { if(r_mk <= 0.028125000186264515) { return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); } else { GEMMLHSMatrixInfo lhs_info_buf; GEMMRHSMatrixInfo rhs_info_buf; GEMMLHSMatrixInfo lhs_info_img; GEMMRHSMatrixInfo rhs_info_img; std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, 0, 0, 0, 1, 1); std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img), std::make_pair(lhs_info_buf, rhs_info_buf), n, k, b, DataType::F32); } } else { GEMMLHSMatrixInfo lhs_info_buf; GEMMRHSMatrixInfo rhs_info_buf; GEMMLHSMatrixInfo lhs_info_img; GEMMRHSMatrixInfo rhs_info_img; std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, 0, 1, 0, 0, 1); std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, 0, 1, 0, 1, 0); return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img), std::make_pair(lhs_info_buf, rhs_info_buf), n, k, b, DataType::F32); } } } } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) { ARM_COMPUTE_UNUSED(k); ARM_COMPUTE_UNUSED(b); if(m == 1) { const unsigned int h0 = std::max(n / 2, 1U); if(n <= 836.0) { return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, h0, 0, 1, 0, 1, 0); } else { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, h0, 0, 1, 0, 1, 0); } } else if(m < 128) { const int h0 = std::max(std::min(static_cast(n / 4), static_cast(256)), static_cast(1)); if(k >= 512) { return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, 0, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, 0, 1, 0, 0); } } else { const int h0 = std::max(std::min(static_cast(n / 4), static_cast(256)), static_cast(1)); if(n >= 64) { return configure_lhs_rhs_info(m, n, 4, 8, 4, 1, h0, 0, 1, 0, 0); } else { if(k >= 512) { return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, 0, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, 0, 1, 0, 0); } } } } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b) { ARM_COMPUTE_UNUSED(k); ARM_COMPUTE_UNUSED(b); if(m == 1) { const unsigned int h0 = std::max(n / 2, 1U); return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, h0, 0, 1, 0, 1); } else { const int h0 = std::max(std::min(static_cast(n / 4), static_cast(256)), static_cast(1)); if(m >= 28) { return configure_lhs_rhs_info(m, n, 4, 4, 16, 1, h0, 0, 1, 0, 1); } else { return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, 0, 1, 0, 1); } } } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) { const float r_mn = static_cast(m) / static_cast(n); const float r_mk = static_cast(m) / static_cast(k); const float r_nk = static_cast(n) / static_cast(k); const float workload = (static_cast(m) * static_cast(n) * static_cast(b)) / 20.0f; if(m == 1) { if(workload <= 278.7000f) { if(workload <= 7.5000f) { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); } else { if(r_mn <= 0.0031f) { if(workload <= 256.6000f) { if(workload <= 16.7500f) { if(r_nk <= 1.6671f) { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } else { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); } } else { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } } else { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } } else { if(r_mk <= 0.0027f) { if(r_mk <= 0.0014f) { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } else { if(workload <= 8.9500f) { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } } } else { if(workload <= 14.1500f) { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); } else { if(r_mk <= 0.0041f) { return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); } else { return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); } } } } } } else { if(workload <= 363.7000f) { if(r_mk <= 0.0031f) { return configure_lhs_rhs_info(m, n, 1, 4, 2, 1, 32, 0, 1, 0, 1, 0); } else { return configure_lhs_rhs_info(m, n, 1, 4, 4, 1, 32, 0, 1, 0, 1, 0); } } else { return configure_lhs_rhs_info(m, n, 1, 4, 2, 1, 32, 0, 1, 0, 1, 0); } } } else { if(workload <= 1384.8000f) { if(workload <= 704.0000f) { return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 32, 0, 1, 0, 1, 0); } else { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 4, 0, 0, 0, 1, 1); } } else { if(workload <= 16761.6006f) { if(r_mn <= 187.1250f) { return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, 0, 0, 0, 1, 1); } else { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 4, 0, 0, 0, 1, 1); } } else { if(r_mk <= 432.4630f) { return configure_lhs_rhs_info(m, n, 5, 4, 4, 1, 16, 0, 0, 0, 1, 1); } else { return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 16, 0, 1, 0, 1, 1); } } } } } std::pair ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) { const float r_mn = static_cast(m) / static_cast(n); const float r_mk = static_cast(m) / static_cast(k); const float r_nk = static_cast(n) / static_cast(k); const float workload = (static_cast(m) * static_cast(n) * static_cast(b)) / 20.0f; if(m == 1) { if(r_mn <= 0.0038f) { if(workload <= 353.9000f) { if(workload <= 278.7000f) { return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); } else { if(r_mk <= 0.0004f) { return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); } else { if(r_mk <= 0.0030f) { return configure_lhs_rhs_info(m, n, 1, 8, 4, 1, 8, 0, 1, 1, 0, 1); } else { return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); } } } } else { if(r_nk <= 1.9384f) { return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 1, 8, 4, 1, 8, 0, 1, 1, 0, 1); } } } else { if(r_nk <= 1.0368f) { return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 32, 0, 0, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); } } } else { if(workload <= 1422.4000f) { if(workload <= 704.0000f) { return configure_lhs_rhs_info(m, n, 2, 2, 8, 1, 32, 0, 0, 1, 0, 0); } else { if(workload <= 1197.6000f) { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); } else { if(workload <= 1241.6000f) { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); } } } } else { if(workload <= 2769.6000f) { if(workload <= 1846.4000f) { if(r_mn <= 2.4927f) { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); } } else { if(r_mn <= 0.6261f) { return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); } else { if(r_mk <= 3.4453f) { if(r_mn <= 1.4135f) { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); } } else { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } } } } else { if(r_nk <= 0.0302f) { return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); } else { if(r_mk <= 181.3750f) { return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); } else { if(workload <= 28035.2002f) { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } else { if(r_mk <= 808.6667f) { return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); } else { return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); } } } } } } } } } // namespace gemm } // namespace kernels } // namespace opencl } // namespace arm_compute