blob: d5b76d8eafdd2191cc096395f56ad0be609938c9 [file] [log] [blame]
/*
* Copyright (c) 2019-2020 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/CLGEMMReshapedOnlyRHSKernelConfigurationBifrost.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;
CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::CLGEMMReshapedOnlyRHSKernelConfigurationBifrost(GPUTarget gpu)
: ICLGEMMKernelConfiguration(gpu)
{
}
std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type)
{
using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::*)(unsigned int m, unsigned int n, unsigned int k,
unsigned int b);
// Configurations for Mali-G51
static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G51 =
{
{ DataType::F32, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_f32 },
{ DataType::F16, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_f16 },
{ DataType::QASYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_u8 },
{ DataType::QSYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_u8 },
{ DataType::QASYMM8_SIGNED, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_u8 },
{ DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G51_u8 }
};
// Configurations for Mali-G52
static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G52 =
{
{ DataType::F32, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G52_f32 },
{ DataType::F16, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G52_f16 },
{ DataType::QASYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QSYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QASYMM8_SIGNED, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 }
};
// Configurations for Mali-G76
static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G76 =
{
{ DataType::F32, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_f32 },
{ DataType::F16, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_f16 },
{ DataType::QASYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_u8 },
{ DataType::QSYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_u8 },
{ DataType::QASYMM8_SIGNED, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_u8 },
{ DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G76_u8 }
};
// Configurations for Mali-G7x
static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G7x =
{
{ DataType::F32, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_f32 },
{ DataType::F16, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_f16 },
{ DataType::QASYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QSYMM8, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QASYMM8_SIGNED, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 },
{ DataType::QSYMM8_PER_CHANNEL, &CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::configure_G7x_u8 }
};
switch(_target)
{
case GPUTarget::G76:
if(gemm_configs_G76.find(data_type) != gemm_configs_G76.end())
{
return (this->*gemm_configs_G76[data_type])(m, n, k, b);
}
else
{
ARM_COMPUTE_ERROR("Not supported data type");
}
case GPUTarget::G52:
if(gemm_configs_G52.find(data_type) != gemm_configs_G52.end())
{
return (this->*gemm_configs_G52[data_type])(m, n, k, b);
}
else
{
ARM_COMPUTE_ERROR("Not supported data type");
}
case GPUTarget::G51:
if(gemm_configs_G51.find(data_type) != gemm_configs_G51.end())
{
return (this->*gemm_configs_G51[data_type])(m, n, k, b);
}
else
{
ARM_COMPUTE_ERROR("Not supported data type");
}
default:
if(gemm_configs_G7x.find(data_type) != gemm_configs_G7x.end())
{
return (this->*gemm_configs_G7x[data_type])(m, n, k, b);
}
else
{
ARM_COMPUTE_ERROR("Not supported data type");
}
}
}
std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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, 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);
}
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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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> CLGEMMReshapedOnlyRHSKernelConfigurationBifrost::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 cl_gemm
} // namespace arm_compute