diff options
Diffstat (limited to 'src/core/gpu/cl')
-rw-r--r-- | src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyBifrost.cpp | 518 | ||||
-rw-r--r-- | src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyValhall.cpp | 570 |
2 files changed, 0 insertions, 1088 deletions
diff --git a/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyBifrost.cpp b/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyBifrost.cpp deleted file mode 100644 index 7ed6b39f3e..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyBifrost.cpp +++ /dev/null @@ -1,518 +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_only_rhs/ClGemmDefaultConfigReshapedRhsOnlyBifrost.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; - -ClGemmDefaultConfigReshapedRhsOnlyBifrost::ClGemmDefaultConfigReshapedRhsOnlyBifrost(GPUTarget gpu) - : IClGemmKernelConfig(gpu) -{ -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type) -{ - using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (ClGemmDefaultConfigReshapedRhsOnlyBifrost::*)(unsigned int m, unsigned int n, unsigned int k, - unsigned int b); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G51(&ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_f32, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_f16, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_u8); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G52(&ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G52_f32, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G52_f16, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_u8); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G76(&ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G76_f32, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G76_f16, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G76_u8); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G7x(&ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_f32, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_f16, - &ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_u8); - - ConfigurationFunctionExecutorPtr func = nullptr; - - switch(_target) - { - case GPUTarget::G76: - func = configs_G76.get_function(data_type); - break; - case GPUTarget::G51: - func = configs_G51.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> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b) -{ - ARM_COMPUTE_UNUSED(k); - ARM_COMPUTE_UNUSED(b); - - if(m == 1) - { - if(n <= 2548) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 4, false, true, false, true, false); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 8, false, true, false, true, false); - } - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 4, false, true, false, true); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::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; - - const bool is_workload_big = ((m * n * b) / 16) >= 2048; - - if(m == 1) - { - if(n >= 8192) - { - const unsigned int h0 = std::max(n / 4, 1U); - return configure_lhs_rhs_info(m, n, 1, 4, 8, 1, h0, false, true, false, true, false); - } - else - { - const unsigned int h0 = std::max(n / 2, 1U); - if(n <= 204) - { - 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 - { - const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(16)), static_cast<int>(1)); - if(is_workload_big) - { - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, h0, false, true, false, true); - } - else - { - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, true); - } - } - - // Get lhs_info/rhs_info in case of OpenCL image - const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(16)), static_cast<int>(1)); - if(is_workload_big) - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, h0, false, true, false, false, true); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, true, 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 or small workloads, we use the OpenCL buffer rather than the OpenCL image2d - const bool use_cl_image2d = ((m == 1) || ((((m * n * b) / 16) < 2048) && n < 128)) ? 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> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G52_f32(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_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(m == 1) - { - if(r_nk <= 0.4664f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 16, false, true, false, true, false); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 8, 1, 16, false, true, false, true, true); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 8, 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); - } - } - else - { - if(workload <= 274.4000f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 16, false, false, false, true, false); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, false, false, true, true); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, false, 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> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_f32(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 n0 = n < 1280 ? 2 : 4; - const unsigned int h0 = std::max(n / n0, 1U); - return configure_lhs_rhs_info(m, n, 1, n0, 4, 1, h0, false, true, false, true); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, true, false, true); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G7x_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) -{ - ARM_COMPUTE_UNUSED(k); - ARM_COMPUTE_UNUSED(b); - - if(m == 1) - { - if(n > 2048) - { - const unsigned int h0 = std::max(n / 4, 1U); - return configure_lhs_rhs_info(m, n, 1, 4, 4, 1, h0, false, true, false, true); - } - else - { - const unsigned int h0 = std::max(n / 2, 1U); - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, h0, false, true, false, true); - } - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 4, false, true, false, true); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G52_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 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(m == 1) - { - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, false, true, false, false, false); - - if(r_mk <= 0.0026f) - { - if(r_nk <= 0.4664f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 32, false, true, false, true, false); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, false, true, false, false, true); - 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_mk <= 0.0148f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 32, false, true, false, true, false); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, false, true, false, false, true); - 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_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 5, 8, 4, 1, 2, false, false, false, false, false); - - if(workload <= 362.6000f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 8, 1, 16, false, false, false, true, false); - } - else - { - if(r_mn <= 22.6067f) - { - if(workload <= 708.8000f) - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 5, 4, 4, 1, 2, false, false, false, false, true); - 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, 5, 8, 2, 1, 16, false, false, false, false, false); - } - } - else - { - if(r_nk <= 0.0917f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 8, 1, 16, false, false, false, true, false); - } - else - { - std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 5, 4, 4, 1, 2, false, false, false, false, true); - 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> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G76_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b) -{ - ARM_COMPUTE_UNUSED(k); - - if(m == 1) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 32, 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; - - if(workload <= 7449.60f) - { - if(workload <= 691.60f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 8, 1, 8, false, false, false, false, false); - } - else - { - if(workload <= 4155.20f) - { - return configure_lhs_rhs_info(m, n, 5, 2, 8, 1, 16, false, false, false, false, false); - } - else - { - return configure_lhs_rhs_info(m, n, 5, 8, 2, 1, 32, false, false, false, false, false); - } - } - } - else - { - if(workload <= 16300.80f) - { - if(r_mn <= 44.56f) - { - 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, 8, 4, 4, 1, 1, false, true, false, false, true); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 5, 2, 8, 1, 16, false, false, false, false, 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::F16); - } - else - { - return configure_lhs_rhs_info(m, n, 5, 2, 8, 1, 16, false, false, false, false, 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, 5, 4, 4, 1, 2, false, true, false, false, true); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 5, 2, 8, 1, 16, false, false, false, false, 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::F16); - } - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_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 n0 = n < 1280 ? 2 : 4; - const unsigned int h0 = std::max(n / n0, 1U); - return configure_lhs_rhs_info(m, n, 1, n0, 8, 1, h0, false, true, false, true); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, true, false, true); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::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(m == 1) - { - const unsigned int h0 = std::max(n / 2, 1U); - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, h0, false, true, false, true); - } - else - { - const unsigned int h0 = std::max(n / 4, 1U); - return configure_lhs_rhs_info(m, n, 4, 4, 16, 1, h0, false, true, false, true); - } - } - else - { - const int h0 = std::max(std::min(static_cast<int>(n / 2), static_cast<int>(128)), static_cast<int>(1)); - if(m == 1) - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, h0, false, true, false, true); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 2, 16, 1, h0, false, true, false, true); - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G76_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, 2, 16, 1, h0, false, true, false, true); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 16, 1, 2, false, true, false, true); - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyBifrost::configure_G51_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 unsigned int h0 = std::max(n / 2, 1U); - return configure_lhs_rhs_info(m, n, 4, 2, 16, 1, h0, false, true, false, true); - } -} - -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute diff --git a/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyValhall.cpp b/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyValhall.cpp deleted file mode 100644 index 4c6e633896..0000000000 --- a/src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyValhall.cpp +++ /dev/null @@ -1,570 +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_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/gpu/cl/kernels/gemm/ClGemmHelpers.h" - -#include <utility> - -namespace arm_compute -{ -namespace opencl -{ -namespace kernels -{ -namespace gemm -{ -using namespace arm_compute::misc::shape_calculator; - -ClGemmDefaultConfigReshapedRhsOnlyValhall::ClGemmDefaultConfigReshapedRhsOnlyValhall(GPUTarget gpu) - : IClGemmKernelConfig(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); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G77(&ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f32, - &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_f16, - &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G77_u8); - - CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G78(&ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f32, - &ClGemmDefaultConfigReshapedRhsOnlyValhall::configure_G78_f16, - &ClGemmDefaultConfigReshapedRhsOnlyValhall::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> 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, 0, 1, 0, 0, 1); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 4, 1, h0, 0, 1, 0, 1, 0); - - 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, 0, 1, 0, 0, 0); - } - } - else - { - if(r_mk <= 0.020312500186264515) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 4, 0, 1, 0, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, 0, 1, 0, 1, 0); - } - } - } - 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, 0, 1, 0, 1, 0); - } - 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, 0, 0, 0, 1, 1); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); - - 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, 0, 1, 0, 1, 0); - } - 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, 0, 0, 0, 1, 1); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, 0, 1, 0, 1, 0); - - 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, 0, 1, 0, 0, 1); - std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, 0, 1, 0, 1, 0); - - 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, 0, 1, 0, 1, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, h0, 0, 1, 0, 1, 0); - } - } - 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, 0, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, 0, 1, 0, 0); - } - } - 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, 8, 4, 1, h0, 0, 1, 0, 0); - } - else - { - if(k >= 512) - { - return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, 0, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, 0, 1, 0, 0); - } - } - } -} - -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, 0, 1, 0, 1); - } - 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, 0, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, 0, 1, 0, 1); - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyValhall::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(m == 1) - { - if(workload <= 278.7000f) - { - if(workload <= 7.5000f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); - } - else - { - if(r_mn <= 0.0031f) - { - if(workload <= 256.6000f) - { - if(workload <= 16.7500f) - { - if(r_nk <= 1.6671f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); - } - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - } - else - { - if(r_mk <= 0.0027f) - { - if(r_mk <= 0.0014f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - else - { - if(workload <= 8.9500f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - } - } - else - { - if(workload <= 14.1500f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); - } - else - { - if(r_mk <= 0.0041f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 2, 1, 32, 0, 0, 0, 1, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, 2, 0, 1, 1, 0, 0); - } - } - } - } - } - } - else - { - if(workload <= 363.7000f) - { - if(r_mk <= 0.0031f) - { - return configure_lhs_rhs_info(m, n, 1, 4, 2, 1, 32, 0, 1, 0, 1, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 4, 4, 1, 32, 0, 1, 0, 1, 0); - } - } - else - { - return configure_lhs_rhs_info(m, n, 1, 4, 2, 1, 32, 0, 1, 0, 1, 0); - } - } - } - else - { - if(workload <= 1384.8000f) - { - if(workload <= 704.0000f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 32, 0, 1, 0, 1, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 4, 0, 0, 0, 1, 1); - } - } - else - { - if(workload <= 16761.6006f) - { - if(r_mn <= 187.1250f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, 0, 0, 0, 1, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 4, 0, 0, 0, 1, 1); - } - } - else - { - if(r_mk <= 432.4630f) - { - return configure_lhs_rhs_info(m, n, 5, 4, 4, 1, 16, 0, 0, 0, 1, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 16, 0, 1, 0, 1, 1); - } - } - } - } -} - -std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> ClGemmDefaultConfigReshapedRhsOnlyValhall::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_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(m == 1) - { - if(r_mn <= 0.0038f) - { - if(workload <= 353.9000f) - { - if(workload <= 278.7000f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); - } - else - { - if(r_mk <= 0.0004f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); - } - else - { - if(r_mk <= 0.0030f) - { - return configure_lhs_rhs_info(m, n, 1, 8, 4, 1, 8, 0, 1, 1, 0, 1); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); - } - } - } - } - else - { - if(r_nk <= 1.9384f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 8, 4, 1, 8, 0, 1, 1, 0, 1); - } - } - } - else - { - if(r_nk <= 1.0368f) - { - return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 32, 0, 0, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 1, 2, 4, 1, 32, 0, 0, 1, 0, 0); - } - } - } - else - { - if(workload <= 1422.4000f) - { - if(workload <= 704.0000f) - { - return configure_lhs_rhs_info(m, n, 2, 2, 8, 1, 32, 0, 0, 1, 0, 0); - } - else - { - if(workload <= 1197.6000f) - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); - } - else - { - if(workload <= 1241.6000f) - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); - } - } - } - } - else - { - if(workload <= 2769.6000f) - { - if(workload <= 1846.4000f) - { - if(r_mn <= 2.4927f) - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); - } - } - else - { - if(r_mn <= 0.6261f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); - } - else - { - if(r_mk <= 3.4453f) - { - if(r_mn <= 1.4135f) - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); - } - } - else - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - } - } - } - else - { - if(r_nk <= 0.0302f) - { - return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 8, 0, 1, 1, 0, 1); - } - else - { - if(r_mk <= 181.3750f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); - } - else - { - if(workload <= 28035.2002f) - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - else - { - if(r_mk <= 808.6667f) - { - return configure_lhs_rhs_info(m, n, 4, 4, 8, 1, 32, 0, 1, 1, 0, 0); - } - else - { - return configure_lhs_rhs_info(m, n, 2, 8, 8, 1, 16, 0, 1, 1, 0, 0); - } - } - } - } - } - } - } -} -} // namespace gemm -} // namespace kernels -} // namespace opencl -} // namespace arm_compute |