diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/gemm/reshaped')
5 files changed, 0 insertions, 1088 deletions
diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp deleted file mode 100644 index b030913a87..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp +++ /dev/null @@ -1,356 +0,0 @@ -/* - * 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/gpu/cl/kernels/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/gpu/cl/kernels/gemm/ClGemmHelpers.h" - -#include <utility> - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -using namespace arm_compute::misc::shape_calculator; - -ClGemmDefaultConfigReshapedBifrost::ClGemmDefaultConfigReshapedBifrost(GPUTarget gpu) - : IClGemmKernelConfig(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 gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h deleted file mode 100644 index 52e6ce3f48..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h +++ /dev/null @@ -1,64 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_BIFROST_H -#define ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_BIFROST_H - -#include "src/core/gpu/cl/kernels/gemm/IClGemmKernelConfig.h" - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -/** Bifrost based OpenCL GEMMReshaped configuration */ -class ClGemmDefaultConfigReshapedBifrost final : public IClGemmKernelConfig -{ -public: - /** Constructor - * - * @param[in] gpu GPU target - */ - ClGemmDefaultConfigReshapedBifrost(GPUTarget gpu); - - // Inherited overridden method - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) override; - -private: - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G7x_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G52_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G76_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G7x_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G52_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G76_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G7x_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G76_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b); -}; -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute -#endif /* ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_BIFROST_H */ diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp deleted file mode 100644 index 57e42c92b3..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp +++ /dev/null @@ -1,538 +0,0 @@ -/* - * 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/ClGemmDefaultConfigReshapedValhall.h" - -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/GPUTarget.h" -#include "src/core/gpu/cl/kernels/gemm/ClGemmHelpers.h" - -#include <utility> - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -ClGemmDefaultConfigReshapedValhall::ClGemmDefaultConfigReshapedValhall(GPUTarget gpu) - : IClGemmKernelConfig(gpu) -{ -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedValhall::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) -{ - using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (ClGemmDefaultConfigReshapedValhall::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G77(&ClGemmDefaultConfigReshapedValhall::configure_G77_f32, - &ClGemmDefaultConfigReshapedValhall::configure_G77_f16, - &ClGemmDefaultConfigReshapedValhall::configure_G77_u8); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G78(&ClGemmDefaultConfigReshapedValhall::configure_G78_f32, - &ClGemmDefaultConfigReshapedValhall::configure_G78_f16, - &ClGemmDefaultConfigReshapedValhall::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> ClGemmDefaultConfigReshapedValhall::configure_G77_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, 1, 0, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 5, 4, 4, 2, 16, 0, 1, 0, 1); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedValhall::configure_G77_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) -{ - ARM_COMPUTE_UNUSED(k); - ARM_COMPUTE_UNUSED(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; - - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 0); - - if(r_mk <= 0.11824845522642136) - { - if(workload <= 880.0) - { - return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 4, 0, 0, 1, 0, 0); - } - else - { - if(r_nk <= 0.42521367967128754) - { - if(workload <= 1726.4000244140625) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 0); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 0, 1, 1, 0, 1); - - 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::F16); - } - } - else - { - if(workload <= 1241.6000366210938) - { - return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 4, 0, 0, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 0); - } - } - } - } - else - { - if(workload <= 11404.7998046875) - { - if(r_mk <= 1.0126488208770752) - { - if(r_mn <= 2.545312523841858) - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 0, 1, 1, 0, 1); - - 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::F16); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 4, 0, 0, 1, 0, 0); - } - } - else - { - if(workload <= 2881.199951171875) - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, 0, 0, 1, 0, 1); - - 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::F16); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 0, 1, 1, 0, 1); - - 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::F16); - } - } - } - else - { - if(r_nk <= 0.5765306055545807) - { - if(r_mn <= 6.010416746139526) - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 0, 1, 1, 0, 1); - - 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::F16); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 1, 0, 1, 0, 1); - - 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::F16); - } - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, 1, 0, 1, 0, 1); - - 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::F16); - } - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedValhall::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(workload <= 1288.0000f) - { - if(workload <= 505.6000f) - { - if(r_mn <= 0.4466f) - { - if(r_nk <= 0.2384f) - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 4, 4, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 2, 4, 2, 2, 0, 0, 1, 0, 0); - } - } - else - { - return configure_lhs_rhs_info(m, n, 2, 2, 4, 2, 2, 0, 0, 1, 0, 0); - } - } - else - { - if(r_mn <= 0.2250f) - { - if(r_mn <= 0.1599f) - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 4, 4, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - else - { - if(r_mk <= 0.7609f) - { - if(r_mn <= 2.5453f) - { - if(workload <= 1089.6000f) - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 4, 4, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 2, 4, 0, 0, 1, 0, 1); - } - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 16, 4, 4, 0, 0, 1, 0, 1); - } - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 4, 4, 0, 0, 1, 0, 1); - } - } - } - } - else - { - if(workload <= 5434.4001f) - { - if(workload <= 1603.2000f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - if(r_nk <= 0.6192f) - { - if(r_mn <= 16.1016f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - if(workload <= 2750.0000f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - if(r_mk <= 6.3151f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 0, 1, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - } - } - else - { - if(r_mk <= 0.0387f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 1); - } - else - { - if(r_mk <= 2.5859f) - { - if(r_mk <= 0.2734f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - } - } - } - else - { - if(r_mk <= 25.7500f) - { - if(r_mk <= 0.3615f) - { - if(r_mn <= 0.0913f) - { - if(r_mk <= 0.0683f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 4, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 4, 4, 0, 0, 1, 0, 1); - } - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - else - { - if(workload <= 11174.3999f) - { - if(r_mk <= 0.8047f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - if(workload <= 7185.5999f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 4, 2, 0, 0, 1, 0, 1); - } - } - } - else - { - if(workload <= 17917.5000f) - { - if(r_mk <= 1.5078f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 1, 0, 1); - } - } - else - { - if(workload <= 34449.6016f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 4, 0, 0, 1, 0, 1); - } - } - } - } - } - else - { - if(r_mk <= 331.1111f) - { - if(workload <= 53397.5996f) - { - if(r_mn <= 57.8063f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 0, 1, 1); - } - } - else - { - if(r_nk <= 0.9211f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 4, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 0, 1, 1); - } - } - } - else - { - if(workload <= 38070.4004f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 4, 0, 0, 0, 1, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - } - } - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedValhall::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_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(workload <= 801.6000f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 1, 1, 0, 0, 1, 0, 1); - } - else - { - if(r_mn <= 0.1211f) - { - if(workload <= 3296.0000f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - if(r_nk <= 1.0625f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 4, 0, 0, 1, 0, 1); - } - } - } - else - { - if(workload <= 5068.8000f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 1, 1, 0, 0, 1, 0, 1); - } - else - { - if(r_nk <= 0.2361f) - { - if(workload <= 12630.0000f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 1, 1, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 1, 0, 0, 1, 0, 1); - } - } - else - { - if(workload <= 178790.3984f) - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 2, 2, 0, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 8, 4, 4, 1, 1, 0, 0, 1, 0, 1); - } - } - } - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedValhall::configure_G77_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, 0, 0, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 16, 2, 2, 0, 1, 0, 1); - } -} -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h deleted file mode 100644 index 588cd64e0e..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h +++ /dev/null @@ -1,61 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_VALHALL_H -#define ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_VALHALL_H - -#include "src/core/gpu/cl/kernels/gemm/IClGemmKernelConfig.h" - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -/** Valhall based OpenCL GEMMReshaped configuration */ -class ClGemmDefaultConfigReshapedValhall final : public IClGemmKernelConfig -{ -public: - /** Constructor - * - * @param[in] gpu GPU target - */ - ClGemmDefaultConfigReshapedValhall(GPUTarget gpu); - - // Inherited overridden method - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) override; - -private: - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G77_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G77_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G78_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G78_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b); - std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_G77_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b); -}; -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute -#endif /* ARM_COMPUTE_CL_GEMM_DEFAULT_CONFIG_RESHAPED_VALHALL_H */ diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h deleted file mode 100644 index c990c89a91..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h +++ /dev/null @@ -1,69 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_CL_GEMM_RESHAPED_KERNEL_CONFIGURATION_H -#define ARM_COMPUTE_CL_GEMM_RESHAPED_KERNEL_CONFIGURATION_H - -#include "src/core/gpu/cl/kernels/gemm/IClGemmKernelConfig.h" -#include "src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h" -#include "src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h" - -#include <memory> - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -/** CLGEMMReshaped factory class */ -class ClGemmReshapedKernelConfigurationFactory final -{ -public: - /** Static method to call the CLGEMMReshaped kernel configuration class accordingly with the GPU target - * - * @param[in] gpu GPU target - * - * @return CLGEMMReshaped kernel configuration class - */ - static std::unique_ptr<IClGemmKernelConfig> create(GPUTarget gpu) - { - switch(get_arch_from_target(gpu)) - { - case GPUTarget::MIDGARD: - case GPUTarget::BIFROST: - return std::make_unique<ClGemmDefaultConfigReshapedBifrost>(gpu); - case GPUTarget::VALHALL: - return std::make_unique<ClGemmDefaultConfigReshapedValhall>(gpu); - default: - ARM_COMPUTE_ERROR("Not supported GPU target"); - } - } -}; -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute -#endif /* ARM_COMPUTE_CL_GEMM_RESHAPED_KERNEL_CONFIGURATION_H */ |