diff options
Diffstat (limited to 'src/gpu/cl/kernels/gemm/reshaped')
5 files changed, 1088 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp new file mode 100644 index 0000000000..657018eb53 --- /dev/null +++ b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp @@ -0,0 +1,356 @@ +/* + * 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/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/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/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h new file mode 100644 index 0000000000..d86d1ba0a7 --- /dev/null +++ b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h @@ -0,0 +1,64 @@ +/* + * 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/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/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp new file mode 100644 index 0000000000..58d0873b86 --- /dev/null +++ b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.cpp @@ -0,0 +1,538 @@ +/* + * 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/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/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/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h new file mode 100644 index 0000000000..466eda00a6 --- /dev/null +++ b/src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedValhall.h @@ -0,0 +1,61 @@ +/* + * 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/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/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h b/src/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h new file mode 100644 index 0000000000..1c32f1358b --- /dev/null +++ b/src/gpu/cl/kernels/gemm/reshaped/ClGemmReshapedKernelConfig.h @@ -0,0 +1,69 @@ +/* + * 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/gpu/cl/kernels/gemm/IClGemmKernelConfig.h" +#include "src/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.h" +#include "src/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 */ |