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/*
* 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