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-rw-r--r--src/core/gpu/cl/kernels/gemm/reshaped_only_rhs/ClGemmDefaultReshapedRhsOnlyValhall.cpp570
1 files changed, 0 insertions, 570 deletions
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
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