| /* |
| * Copyright (c) 2019-2020 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_compute/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfigurationBifrost.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/gemm/CLGEMMHelpers.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 <map> |
| #include <utility> |
| |
| namespace arm_compute |
| { |
| namespace cl_gemm |
| { |
| using namespace arm_compute::misc::shape_calculator; |
| |
| CLGEMMReshapedKernelConfigurationBifrost::CLGEMMReshapedKernelConfigurationBifrost(GPUTarget gpu) |
| : ICLGEMMKernelConfiguration(gpu) |
| { |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) |
| { |
| using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMReshapedKernelConfigurationBifrost::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b); |
| |
| // Configurations for Mali-G76 |
| static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G76 = |
| { |
| { DataType::F32, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_f32 }, |
| { DataType::F16, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_f16 }, |
| { DataType::QASYMM8, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_u8 }, |
| { DataType::QSYMM8, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_u8 }, |
| { DataType::QASYMM8_SIGNED, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_u8 }, |
| { DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedKernelConfigurationBifrost::configure_G76_u8 } |
| }; |
| |
| // Configurations for Mali-G7x |
| static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G7x = |
| { |
| { DataType::F32, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_f32 }, |
| { DataType::F16, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_f16 }, |
| { DataType::QASYMM8, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_u8 }, |
| { DataType::QSYMM8, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_u8 }, |
| { DataType::QASYMM8_SIGNED, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_u8 }, |
| { DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_u8 } |
| }; |
| |
| switch(_target) |
| { |
| case GPUTarget::G76: |
| if(gemm_configs_G76.find(data_type) != gemm_configs_G76.end()) |
| { |
| return (this->*gemm_configs_G76[data_type])(m, n, k, b); |
| } |
| else |
| { |
| ARM_COMPUTE_ERROR("Not supported data type"); |
| } |
| default: |
| if(gemm_configs_G7x.find(data_type) != gemm_configs_G7x.end()) |
| { |
| return (this->*gemm_configs_G7x[data_type])(m, n, k, b); |
| } |
| else |
| { |
| ARM_COMPUTE_ERROR("Not supported data type"); |
| } |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| ARM_COMPUTE_UNUSED(b); |
| |
| if(n <= 4) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 8, 16, 16, true, false, false, true); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 5, 4, 4, 2, 16, false, true, false, true); |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| ARM_COMPUTE_UNUSED(b); |
| |
| if(n <= 4) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 8, 8, 2, true, true, true, false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 8, 4, 4, 2, true, true, true, false); |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G7x_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| ARM_COMPUTE_UNUSED(b); |
| |
| if(dot8_supported(CLKernelLibrary::get().get_device())) |
| { |
| if(n <= 4) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 16, 2, 2, true, false, false, true); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 4, 16, 2, 2, true, false, false, true); |
| } |
| } |
| else |
| { |
| if(n <= 4) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 8, 2, 2, true, false, false, true); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 6, 4, 4, 2, 2, true, true, false, true); |
| } |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G76_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| ARM_COMPUTE_UNUSED(b); |
| |
| GEMMLHSMatrixInfo lhs_info_buf; |
| GEMMRHSMatrixInfo rhs_info_buf; |
| GEMMLHSMatrixInfo lhs_info_img; |
| GEMMRHSMatrixInfo rhs_info_img; |
| |
| // Get lhs_info/rhs_info in case of OpenCL buffer |
| if(n <= 4) |
| { |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 2, 8, 16, 16, true, false, false, true); |
| } |
| else |
| { |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 2, 8, 16, false, false, false, true); |
| } |
| |
| // Get lhs_info/rhs_info in case of OpenCL image |
| // Condition on the GPU workload |
| if((m / 4) * (n / 4) >= 2560) |
| { |
| // Big workload |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 8, true, true, true, false, true); |
| } |
| else |
| { |
| // Small workload |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 1, true, true, true, false, true); |
| } |
| |
| const TensorInfo tensor_rhs_info(TensorShape(n, k, b), 1, DataType::F32); |
| const TensorShape shape = compute_rhs_reshaped_shape(tensor_rhs_info, rhs_info_img); |
| const TensorInfo tensor_reshaped_info(shape, 1, DataType::F32); |
| |
| // In case of vector by matrix with few work-items, we use the OpenCL buffer rather than the OpenCL image2d |
| const bool use_cl_image2d = (n <= 4) ? false : true; |
| |
| if(bool(validate_image2d_support_on_rhs(tensor_reshaped_info, rhs_info_img)) && use_cl_image2d) |
| { |
| return std::make_pair(lhs_info_img, rhs_info_img); |
| } |
| else |
| { |
| return std::make_pair(lhs_info_buf, rhs_info_buf); |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G76_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| |
| 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; |
| |
| if(workload <= 1049.59f) |
| { |
| if(b <= 5) |
| { |
| if(workload <= 790.39f) |
| { |
| return configure_lhs_rhs_info(m,n,2,4,4,2,2,false,false,true,false,false); |
| } |
| else |
| { |
| if(workload <= 982.39f) |
| { |
| return configure_lhs_rhs_info(m,n,4,2,4,4,4,false,false,true,false,false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,2,4,4,2,1,false,true,true,false,false); |
| } |
| } |
| } |
| else |
| { |
| if(r_mn <= 0.21f) |
| { |
| if(r_mn <= 0.11f) |
| { |
| return configure_lhs_rhs_info(m,n,2,4,4,2,2,false,false,true,false,false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,4,4,false,true,true,false,false); |
| } |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,2,4,4,2,2,false,false,true,false,false); |
| } |
| } |
| } |
| else |
| { |
| if(n <= 200) |
| { |
| if(workload <= 29772.79f) |
| { |
| if(m <= 64.5) |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,2,4,true,false,true,false,false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,2,2,false,true,true,false,false); |
| } |
| } |
| else |
| { |
| if(r_mn <= 1.09f) |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,4,4,false,true,true,false,false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,2,2,true,true,true,false,false); |
| } |
| } |
| } |
| else |
| { |
| if(m <= 43) |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,2,4,true,false,true,false,false); |
| } |
| else |
| { |
| if(workload <= 26364.79f) |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,2,2,false,true,true,false,false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m,n,4,4,4,4,4,false,true,true,false,false); |
| } |
| } |
| } |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedKernelConfigurationBifrost::configure_G76_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| ARM_COMPUTE_UNUSED(b); |
| |
| if(n <= 4) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 16, 4, 1, false, false, false, true); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 4, 16, 2, 2, false, true, false, true); |
| } |
| } |
| } // namespace cl_gemm |
| } // namespace arm_compute |