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/*
* Copyright (c) 2018-2022 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.
*/
#ifndef ARM_COMPUTE_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H
#define ARM_COMPUTE_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "src/core/NEON/INEKernel.h"
#include "src/cpu/kernels/assembly/arm_gemm_compute_iface.hpp"
#include "gemm_common.hpp"
namespace arm_compute
{
class ITensor;
namespace cpu
{
namespace kernel
{
/** This class is a wrapper for the assembly kernels.
*
* Some kernels were written in assembly and highly optimised for specific CPUs like A53 or A55.
* This class works as a wrapper for these assembly kernels. The arm compute library creates an instance
* of CpuGemmAssemblyWrapperKernel and other auxiliary data structures to execute a single assembly kernel
* in the context of an NEFunctions.
*
* The type T is the type of the actual kernel implemented in assembly which is of type
* template<typename To, typename Tr> class GemmCommon
*
*
*/
template <typename TypeInput, typename TypeOutput>
class CpuGemmAssemblyWrapperKernel final : public INEKernel
{
public:
/** Constructor
*/
CpuGemmAssemblyWrapperKernel() : _kernel(nullptr), _name("CpuGemmAssemblyWrapperKernel")
{
}
CpuGemmAssemblyWrapperKernel(CpuGemmAssemblyWrapperKernel &) = delete;
CpuGemmAssemblyWrapperKernel(CpuGemmAssemblyWrapperKernel &&) = default;
CpuGemmAssemblyWrapperKernel &operator=(CpuGemmAssemblyWrapperKernel &) = delete;
const char *name() const override
{
return _name.c_str();
}
void run(const Window &window, const ThreadInfo &info) override
{
ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(_kernel)));
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
auto win = arm_gemm::to_ndcoord(window);
arm_gemm::ndcoord_t thread_locator{};
_kernel->execute(win, thread_locator, info.thread_id);
}
// Inherited methods overridden:
void run_nd(const Window &window, const ThreadInfo &info, const Window &thread_locator) override
{
ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(_kernel)));
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
//convert between arm_compute and arm_gemm types
auto ndc_win = arm_gemm::to_ndcoord(window);
auto ndc_tlc = arm_gemm::to_ndcoord(thread_locator);
_kernel->execute(ndc_win, ndc_tlc, info.thread_id);
}
/** Initialise the kernel's input and output.
*
* @param[in] kernel Pointer to an assembly kernel implementation.
* @param[in] kernel_name_tag Tag to be attacehd to the kernel's name.
*/
void configure(arm_gemm::GemmCommon<TypeInput, TypeOutput> *kernel, std::string kernel_name_tag)
{
ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(kernel)));
_kernel = kernel;
Window win = to_window(kernel->get_window_size());
INEKernel::configure(win);
if (!kernel_name_tag.empty())
{
_name += "/" + kernel_name_tag;
}
}
/** Return minimum workload size of the relevant kernel
*
* @param[in] platform The CPU platform used to create the context.
* @param[in] thread_count Number of threads in the execution.
*
* @return[out] small_network_mws Minimum workload size for requested configuration.
*/
size_t get_mws(const CPUInfo &platform, size_t thread_count) const override
{
ARM_COMPUTE_UNUSED(thread_count);
ARM_COMPUTE_UNUSED(platform);
return ICPPKernel::default_mws;
}
private:
arm_gemm::GemmCommon<TypeInput, TypeOutput> *_kernel;
std::string _name;
};
} // namespace kernel
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H */
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