* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
* The code snippet comes from Huawei's open-source Ascend project.
* Copyright 2021 Huawei Technologies Co., Ltd
* Licensed under the Apache License, Version 2.0 (the "License");
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
*
*/
* \file add_example_aicpu.h
* \brief CPU kernel implementation of AddExample operator.
* This file defines the AddExampleCpuKernel class which performs element-wise
* addition of two input tensors on the CPU (AICPU).
*/
#ifndef AICPU_ADD_EXAMPLE_CPU_KERNELS_H_
#define AICPU_ADD_EXAMPLE_CPU_KERNELS_H_
#include "cpu_kernel.h"
namespace aicpu {
* \brief AddExample CPU kernel class.
* Implements element-wise tensor addition on CPU.
*/
class AddExampleCpuKernel : public CpuKernel {
public:
~AddExampleCpuKernel() = default;
* \brief Entry point for kernel computation.
* \param ctx Kernel context containing input/output tensors.
* \return kSuccess on success, error code on failure.
*/
uint32_t Compute(CpuKernelContext &ctx) override;
* \brief Template function for type-specific addition computation.
* \param ctx Kernel context containing input/output tensors.
* \return kSuccess on success, error code on failure.
*/
template<typename T>
uint32_t AddCompute(CpuKernelContext &ctx);
};
}
#endif
