/**
 * 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.
 */

/*!
 * \file relu_grad.cpp
 * \brief relu_grad
 */

#include "kernel_operator.h"
#include "arch35/relu_grad_dag.h"
#include "arch35/relu_grad_struct.h"
#include "atvoss/broadcast/broadcast_sch.h"

using namespace AscendC;
using namespace ReluGradOp;
using namespace Ops::Base;
template <uint64_t schMode, uint64_t dType>
__global__ __aicore__ void relu_grad(GM_ADDR gradients, GM_ADDR features, GM_ADDR backprops, GM_ADDR workspace,
                                     GM_ADDR tiling)
{
    KERNEL_TASK_TYPE_DEFAULT(KERNEL_TYPE_AIV_ONLY);
    constexpr bool isCastDtype = (std::is_same<DTYPE_GRADIENTS, int8_t>::value ||
                                  std::is_same<DTYPE_GRADIENTS, uint8_t>::value);

    if constexpr (isCastDtype) {
        using OpDag = ReluGradCastDag<DTYPE_GRADIENTS>::OpDag;
        BroadcastSch<schMode, OpDag> sch(tiling);
        sch.Process(gradients, features, backprops);
    } else {
        using OpDag = ReluGradDag<DTYPE_GRADIENTS>::OpDag;
        BroadcastSch<schMode, OpDag> sch(tiling);
        sch.Process(gradients, features, backprops);
    }
}