| /* |
| * Copyright (c) 2019-2021 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/CL/gemm/reshaped/CLGEMMDefaultConfigReshapedBifrost.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/CL/gemm/CLGEMMHelpers.h" |
| |
| #include <utility> |
| |
| namespace arm_compute |
| { |
| namespace cl_gemm |
| { |
| using namespace arm_compute::misc::shape_calculator; |
| |
| CLGEMMDefaultConfigReshapedBifrost::CLGEMMDefaultConfigReshapedBifrost(GPUTarget gpu) |
| : ICLGEMMKernelConfiguration(gpu) |
| { |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) |
| { |
| using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMDefaultConfigReshapedBifrost::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b); |
| |
| CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G7x(&CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f32, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f16, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_u8); |
| |
| CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G52(&CLGEMMDefaultConfigReshapedBifrost::configure_G52_f32, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G52_f16, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_u8); |
| |
| CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G76(&CLGEMMDefaultConfigReshapedBifrost::configure_G76_f32, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G76_f16, |
| &CLGEMMDefaultConfigReshapedBifrost::configure_G76_u8); |
| |
| ConfigurationFunctionExecutorPtr func = nullptr; |
| |
| switch(_target) |
| { |
| case GPUTarget::G76: |
| func = configs_G76.get_function(data_type); |
| break; |
| case GPUTarget::G52: |
| func = configs_G52.get_function(data_type); |
| break; |
| default: |
| func = configs_G7x.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> CLGEMMDefaultConfigReshapedBifrost::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> CLGEMMDefaultConfigReshapedBifrost::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> CLGEMMDefaultConfigReshapedBifrost::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> CLGEMMDefaultConfigReshapedBifrost::configure_G52_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 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); |
| const float r_nk = static_cast<float>(n) / static_cast<float>(k); |
| |
| GEMMLHSMatrixInfo lhs_info_buf; |
| GEMMRHSMatrixInfo rhs_info_buf; |
| GEMMLHSMatrixInfo lhs_info_img; |
| GEMMRHSMatrixInfo rhs_info_img; |
| |
| if(workload <= 274.4000f) |
| { |
| if(r_nk <= 0.7461f) |
| { |
| if(r_mn <= 21.1667f) |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 4, 4, 4, false, true, true, false, false); |
| } |
| else |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false); |
| |
| 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 |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false); |
| |
| 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_mk <= 17.3926f) |
| { |
| if(workload <= 542.4000f) |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false); |
| |
| 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 |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, false); |
| |
| 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_nk <= 0.5463f) |
| { |
| if(workload <= 11767.6001f) |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false); |
| |
| 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 |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, false); |
| |
| 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 |
| { |
| std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true); |
| std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false); |
| |
| 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> CLGEMMDefaultConfigReshapedBifrost::configure_G52_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| ARM_COMPUTE_UNUSED(k); |
| |
| const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f; |
| |
| if(workload <= 323.4000f) |
| { |
| return configure_lhs_rhs_info(m, n, 2, 2, 8, 4, 8, false, false, false, true, false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 8, 4, 2, 2, true, true, true, false, false); |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::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> CLGEMMDefaultConfigReshapedBifrost::configure_G76_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) |
| { |
| 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 <= 1595.2000f) |
| { |
| if(r_mk <= 2.1044f) |
| { |
| if(workload <= 870.4000f) |
| { |
| return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 2, true, false, true, false, false); |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 4, 2, 2, false, false, true, false, false); |
| } |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 2, 4, 2, 2, false, false, true, false, false); |
| } |
| } |
| else |
| { |
| return configure_lhs_rhs_info(m, n, 4, 8, 4, 4, 2, true, true, true, false, false); |
| } |
| } |
| |
| std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::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 |