| /* |
| * 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 <utility> |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| namespace gemm |
| { |
| using namespace arm_compute::misc::shape_calculator; |
| |
| ClGemmDefaultConfigReshapedRhsOnlyValhall::ClGemmDefaultConfigReshapedRhsOnlyValhall(GPUTarget gpu) |
| : IClGemmKernelConfig(gpu) |
| { |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyValhall::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) |
| { |
| using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (ClGemmDefaultConfigReshapedRhsOnlyValhall::*)(unsigned int m, unsigned int n, unsigned int k, |
| unsigned int b); |
| |
| CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G77(&ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f32, |
| &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f16, |
| &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_u8); |
| |
| CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> 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<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> 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<float>(m) / static_cast<float>(n); |
| const float r_mk = static_cast<float>(m) / static_cast<float>(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<float>(m) / static_cast<float>(n); |
| const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f; |
| const float r_mk = static_cast<float>(m) / static_cast<float>(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<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> 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<int>(n / 4), static_cast<int>(256)), static_cast<int>(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<int>(n / 4), static_cast<int>(256)), static_cast<int>(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<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> 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<int>(n / 4), static_cast<int>(256)), static_cast<int>(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<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| const float r_mn = static_cast<float>(m) / static_cast<float>(n); |
| const float r_mk = static_cast<float>(m) / static_cast<float>(k); |
| const float r_nk = static_cast<float>(n) / static_cast<float>(k); |
| const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(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<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| const float r_mn = static_cast<float>(m) / static_cast<float>(n); |
| const float r_mk = static_cast<float>(m) / static_cast<float>(k); |
| const float r_nk = static_cast<float>(n) / static_cast<float>(k); |
| const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(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 |