diff options
Diffstat (limited to 'src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp')
-rw-r--r-- | src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp | 259 |
1 files changed, 259 insertions, 0 deletions
diff --git a/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp new file mode 100644 index 0000000000..ca7274c38e --- /dev/null +++ b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp @@ -0,0 +1,259 @@ +/* + * Copyright (c) 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 "src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/GPUTarget.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "src/core/CL/gemm/CLGEMMHelpers.h" + +#include <map> +#include <utility> + +namespace arm_compute +{ +namespace cl_gemm +{ +using namespace arm_compute::misc::shape_calculator; + +CLGEMMDefaultConfigReshapedRHSOnlyValhall::CLGEMMDefaultConfigReshapedRHSOnlyValhall(GPUTarget gpu) + : ICLGEMMKernelConfiguration(gpu) +{ +} + +std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) +{ + using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMDefaultConfigReshapedRHSOnlyValhall::*)(unsigned int m, unsigned int n, unsigned int k, + unsigned int b); + + // Configurations for Mali-G77 + static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G77 = + { + { DataType::F32, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f32 }, + { DataType::F16, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f16 }, + { DataType::QASYMM8, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 }, + { DataType::QSYMM8, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 }, + { DataType::QASYMM8_SIGNED, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 }, + { DataType::QSYMM8_PER_CHANNEL, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 } + }; + + switch(_target) + { + case GPUTarget::G77: + default: + if(gemm_configs_G77.find(data_type) != gemm_configs_G77.end()) + { + return (this->*gemm_configs_G77[data_type])(m, n, k, b); + } + else + { + ARM_COMPUTE_ERROR("Not supported data type"); + } + } +} + +std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) +{ + if(m == 1) + { + const float r_mn = static_cast<float>(m) / static_cast<float>(n); + const float r_mk = static_cast<float>(m) / static_cast<float>(k); + + if(r_mk <= 0.0064484127797186375) + { + if(r_mn <= 0.0028273810748942196) + { + GEMMLHSMatrixInfo lhs_info_buf; + GEMMRHSMatrixInfo rhs_info_buf; + GEMMLHSMatrixInfo lhs_info_img; + GEMMRHSMatrixInfo rhs_info_img; + + const unsigned int h0 = std::max(n / 4, 1U); + std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 8, 1, 16, false, true, false, false, true); + std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 4, 1, h0, false, 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 + { + return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 8, false, true, false, false, false); + } + } + else + { + if(r_mk <= 0.020312500186264515) + { + return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 4, false, true, false, false, false); + } + else + { + return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, false, true, false, true, false); + } + } + } + else + { + const float r_mn = static_cast<float>(m) / static_cast<float>(n); + const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f; + const float r_mk = static_cast<float>(m) / static_cast<float>(k); + + if(workload <= 1999.2000122070312) + { + if(workload <= 747.1999816894531) + { + return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, true, false, true, false); + } + else + { + GEMMLHSMatrixInfo lhs_info_buf; + GEMMRHSMatrixInfo rhs_info_buf; + GEMMLHSMatrixInfo lhs_info_img; + GEMMRHSMatrixInfo rhs_info_img; + std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, false, false, false, true, true); + std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, 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_mn <= 0.03348214365541935) + { + if(r_mk <= 0.028125000186264515) + { + return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, true, false, true, false); + } + else + { + GEMMLHSMatrixInfo lhs_info_buf; + GEMMRHSMatrixInfo rhs_info_buf; + GEMMLHSMatrixInfo lhs_info_img; + GEMMRHSMatrixInfo rhs_info_img; + std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, false, false, false, true, true); + std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, 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 + { + GEMMLHSMatrixInfo lhs_info_buf; + GEMMRHSMatrixInfo rhs_info_buf; + GEMMLHSMatrixInfo lhs_info_img; + GEMMRHSMatrixInfo rhs_info_img; + std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, true, false, false, true); + std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, false, 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> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) +{ + ARM_COMPUTE_UNUSED(k); + ARM_COMPUTE_UNUSED(b); + + if(m == 1) + { + const unsigned int h0 = std::max(n / 2, 1U); + if(n <= 836.0) + { + return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, h0, false, true, false, true, false); + } + else + { + return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, h0, false, true, false, true, false); + } + } + else if(m < 128) + { + const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1)); + if(k >= 512) + { + return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, false); + } + else + { + return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, false); + } + } + else + { + const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1)); + if(n >= 64) + { + return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, h0, false, true, false, false); + } + else + { + if(k >= 512) + { + return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, false); + } + else + { + return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, false); + } + } + } +} + +std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b) +{ + ARM_COMPUTE_UNUSED(k); + ARM_COMPUTE_UNUSED(b); + + if(m == 1) + { + const unsigned int h0 = std::max(n / 2, 1U); + return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, h0, false, true, false, true); + } + else + { + const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1)); + if(m >= 28) + { + return configure_lhs_rhs_info(m, n, 4, 4, 16, 1, h0, false, true, false, true); + } + else + { + return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, true); + } + } +} +} // namespace cl_gemm +} // namespace arm_compute |