/**

 * 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.

 */

 

#include <vector>

#include <iostream>

#include "utils.h"

#include "acl/acl.h"

#include "model_utils.h"

#include "aclnnop/aclnn_add.h"

using namespace std;



// aclnnadd计算：out = self + other * alpha

// 先构建一个model计算 out = (self + other * alpha) + other * alpha

// 随后更新该model为 out = (self + other * alpha) + other * updateAlpha

int main()

{

    int deviceId = 0;

    void *selfDevice = nullptr;

    void *otherDevice = nullptr;

    void *outDevice = nullptr;

    void *outTmpDevice = nullptr;

    aclTensor *self = nullptr;

    aclTensor *other = nullptr;

    aclScalar *alpha = nullptr;

    aclScalar *updateAlpha = nullptr;

    aclTensor *out = nullptr;

    aclTensor *outTmp = nullptr;

    vector<float> selfHostData = {1, 2, 3, 4, 5, 6, 7, 8};

    vector<float> otherHostData = {2, 2, 2, 2, 2, 2, 2, 2};

    vector<float> outHostData = {0, 0, 0, 0, 0, 0, 0, 0};

    vector<float> outTempHostData = {0, 0, 0, 0, 0, 0, 0, 0};

    vector<int64_t> shape = {4, 2};

    float alphaValue = 1.1f;

    float updateAlphaValue = 2.2f;

    uint64_t firstAddWorkspaceSize = 0;

    uint64_t secondAddWorkspaceSize = 0;

    uint64_t updateAddWorkspaceSize = 0;

    aclOpExecutor *firstAddExecutor;

    aclOpExecutor *secondAddExecutor;

    aclOpExecutor *updateAddExecutor;

    aclrtContext context;

    const int loopCount = 2;

    int64_t size = ModelUtils::GetShapeSize(shape) * sizeof(float);



    CHECK_ERROR(aclInit(NULL));

    CHECK_ERROR(aclrtSetDevice(deviceId));

    CHECK_ERROR(aclrtCreateContext(&context, deviceId));



    ModelUtils::CreateAclTensor(shape, &selfDevice, aclDataType::ACL_FLOAT, &self);

    ModelUtils::CreateAclTensor(shape, &otherDevice, aclDataType::ACL_FLOAT, &other);

    alpha = aclCreateScalar(&alphaValue, aclDataType::ACL_FLOAT);

    updateAlpha = aclCreateScalar(&updateAlphaValue, aclDataType::ACL_FLOAT);

    ModelUtils::CreateAclTensor(shape, &outDevice, aclDataType::ACL_FLOAT, &out);

    ModelUtils::CreateAclTensor(shape, &outTmpDevice, aclDataType::ACL_FLOAT, &outTmp);

    

    // 该算子计算outTmp = self + ohter * alpha

    aclnnAddGetWorkspaceSize(self, other, alpha, outTmp, &firstAddWorkspaceSize, &firstAddExecutor);

    void *firstAddWorkspaceAddr = nullptr;

    if (firstAddWorkspaceSize > 0) {

        CHECK_ERROR(aclrtMalloc(&firstAddWorkspaceAddr, firstAddWorkspaceSize, ACL_MEM_MALLOC_HUGE_FIRST));

    }



    // 该算子计算outTmp = outTmp + ohter * alpha

    aclnnAddGetWorkspaceSize(outTmp, other, alpha, out, &secondAddWorkspaceSize, &secondAddExecutor);

    void *secondAddWorkspaceAddr = nullptr;

    if (secondAddWorkspaceSize > 0) {

        CHECK_ERROR(aclrtMalloc(&secondAddWorkspaceAddr, secondAddWorkspaceSize, ACL_MEM_MALLOC_HUGE_FIRST));

    }

    // 该算子计算outTmp = outTmp + ohter * updateAlpha

    aclnnAddGetWorkspaceSize(outTmp, other, updateAlpha, out, &updateAddWorkspaceSize, &updateAddExecutor);

    void *updateAddWorkspaceAddr = nullptr;

    if (updateAddWorkspaceSize > 0) {

        CHECK_ERROR(aclrtMalloc(&updateAddWorkspaceAddr, updateAddWorkspaceSize, ACL_MEM_MALLOC_HUGE_FIRST));

    }



    aclmdlRI modelRI;

    aclrtStream stream;

    aclrtEvent event;

    CHECK_ERROR(aclrtCreateStream(&stream));

    // 通过event来同步，确保更新成功,该flag专门用于捕获场景下的任务更新

    CHECK_ERROR(aclrtCreateEventWithFlag(&event, ACL_EVENT_EXTERNAL));



    CHECK_ERROR(aclmdlRICaptureBegin(stream, ACL_MODEL_RI_CAPTURE_MODE_RELAXED));

    CHECK_ERROR(aclrtMemcpy(selfDevice, size, selfHostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE));

    CHECK_ERROR(aclrtMemcpy(otherDevice, size, otherHostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE));

    aclnnAdd(firstAddWorkspaceAddr, firstAddWorkspaceSize, firstAddExecutor, stream);

    // 因为后续的任务为可更新的，所以在该处阻塞stream等待event，在后续更新任务中结束时记录event，可以确保后续执行的任务是更新后的

    CHECK_ERROR(aclrtStreamWaitEvent(stream, event));

    CHECK_ERROR(aclrtResetEvent(event, stream));

    aclrtTaskGrp handle;

    // 将该处的任务设置为可更新的，后续可以通过句柄handle进行更新

    CHECK_ERROR(aclmdlRICaptureTaskGrpBegin(stream));

    aclnnAdd(secondAddWorkspaceAddr, secondAddWorkspaceSize, secondAddExecutor, stream);

    CHECK_ERROR(aclmdlRICaptureTaskGrpEnd(stream, &handle));

    CHECK_ERROR(aclmdlRICaptureEnd(stream, &modelRI));



    aclrtStream updateStream;

    CHECK_ERROR(aclrtCreateStream(&updateStream));

    for (int i = 0; i < loopCount; i++) {

        INFO_LOG("Execute model, loop count: %d.", i + 1);

        CHECK_ERROR(aclmdlRIExecuteAsync(modelRI, stream));

        if (i == 1) {

            // 通过handle对可更新区域进行更新，要注意，更新后的任务类型和数量应该与更新前保持一致

            CHECK_ERROR(aclmdlRICaptureTaskUpdateBegin(updateStream, handle));

            // 此处更换了一个算子

            aclnnAdd(updateAddWorkspaceAddr, updateAddWorkspaceSize, updateAddExecutor, updateStream);

            INFO_LOG("Update alpha value of aclnnAdd");

            CHECK_ERROR(aclmdlRICaptureTaskUpdateEnd(updateStream));

        }

        // 更新时使用event进行同步，确保在model执行任务中执行的任务是更新后的

        CHECK_ERROR(aclrtRecordEvent(event, updateStream));

        CHECK_ERROR(aclrtSynchronizeStream(updateStream));

        CHECK_ERROR(aclrtSynchronizeStream(stream));

        CHECK_ERROR(aclrtMemcpy(outHostData.data(), size, outDevice, size, ACL_MEMCPY_DEVICE_TO_HOST));

        ModelUtils::PrintArray(outHostData);

    }

    // 释放计算设备的资源

    CHECK_ERROR(aclmdlRIDestroy(modelRI));

    CHECK_ERROR(aclrtDestroyStream(stream));

    CHECK_ERROR(aclrtDestroyStream(updateStream));

    CHECK_ERROR(aclDestroyTensor(self));

    CHECK_ERROR(aclDestroyTensor(other));

    CHECK_ERROR(aclDestroyTensor(out));

    CHECK_ERROR(aclDestroyTensor(outTmp));

    CHECK_ERROR(aclDestroyScalar(alpha));

    CHECK_ERROR(aclDestroyScalar(updateAlpha));

    CHECK_ERROR(aclrtFree(selfDevice));

    CHECK_ERROR(aclrtFree(otherDevice));

    CHECK_ERROR(aclrtFree(outDevice));

    CHECK_ERROR(aclrtFree(outTmpDevice));

    if (firstAddWorkspaceAddr != nullptr) {

        CHECK_ERROR(aclrtFree(firstAddWorkspaceAddr));

    }

    if (secondAddWorkspaceAddr != nullptr) {

        CHECK_ERROR(aclrtFree(secondAddWorkspaceAddr));

    }

    if (updateAddWorkspaceAddr != nullptr) {

        CHECK_ERROR(aclrtFree(updateAddWorkspaceAddr));

    }

    CHECK_ERROR(aclrtDestroyContext(context));

    CHECK_ERROR(aclrtResetDeviceForce(deviceId));

    CHECK_ERROR(aclFinalize());

}