/**

 * This file is part of the OpenBOAT project at Harbin Institute of Technology (HIT)

 * and is contributed to the CANN Open Software.

 *

 * Copyright (c) 2025 AISS Group, Harbin Institute of Technology (HIT).

 * All Rights Reserved.

 *

 * Authors (accounts):

 * - Liu Jun <@kbryantttt>

 * - Su Tonghua <@sutonghua>

 *

 * This program is free software: you can redistribute it and/or modify it.

 * Licensed under the CANN Open Software License Agreement Version 2.0 (the "License").

 * You may not use this file except in compliance with the License.

 * See the LICENSE file at the root of the repository for the full text of the License.

 *

 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED,

 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.

 */

#include <iostream>

#include <vector>

#include "acl/acl.h"

#include "aclnn_tril.h"



#define CHECK_RET(cond, return_expr) \

    do {                             \

        if (!(cond)) {               \

            return_expr;             \

        }                            \

    } while (0)



#define LOG_PRINT(message, ...)         \

    do {                                \

        printf(message, ##__VA_ARGS__); \

    } while (0)



int64_t GetShapeSize(const std::vector<int64_t>& shape)

{

    int64_t shapeSize = 1;

    for (auto i : shape) {

        shapeSize *= i;

    }

    return shapeSize;

}



void PrintOutResult(std::vector<int64_t>& shape, void** deviceAddr)

{

    auto size = GetShapeSize(shape);

    std::vector<int32_t> resultData(size, 0);

    auto ret = aclrtMemcpy(

        resultData.data(), resultData.size() * sizeof(resultData[0]), *deviceAddr, size * sizeof(resultData[0]),

        ACL_MEMCPY_DEVICE_TO_HOST);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("copy result from device to host failed. ERROR: %d\n", ret); return);

    for (int64_t i = 0; i < 120; i++) {

        LOG_PRINT("mean result[%ld] is: %d\n", i, resultData[i]);

    }

}

                                                                                                                                                                                                                            

int Init(int32_t deviceId, aclrtStream* stream)

{

    // 固定写法，初始化

    auto ret = aclInit(nullptr);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclInit failed. ERROR: %d\n", ret); return ret);

    ret = aclrtSetDevice(deviceId);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSetDevice failed. ERROR: %d\n", ret); return ret);

    ret = aclrtCreateStream(stream);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtCreateStream failed. ERROR: %d\n", ret); return ret);

    return 0;

}



template <typename T>

int CreateAclTensor(

    const std::vector<T>& hostData, const std::vector<int64_t>& shape, void** deviceAddr, aclDataType dataType,

    aclTensor** tensor)

{

    auto size = GetShapeSize(shape) * sizeof(T);

    // 2. 申请device侧内存

    auto ret = aclrtMalloc(deviceAddr, size, ACL_MEM_MALLOC_HUGE_FIRST);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMalloc failed. ERROR: %d\n", ret); return ret);

    // 3. 调用aclrtMemcpy将host侧数据拷贝到device侧内存上

    ret = aclrtMemcpy(*deviceAddr, size, hostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMemcpy failed. ERROR: %d\n", ret); return ret);



    // 计算连续tensor的strides

    std::vector<int64_t> strides(shape.size(), 1);

    for (int64_t i = shape.size() - 2; i >= 0; i--) {

        strides[i] = shape[i + 1] * strides[i + 1];

    }



    // 调用aclCreateTensor接口创建aclTensor

    *tensor = aclCreateTensor(

        shape.data(), shape.size(), dataType, strides.data(), 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(),

        *deviceAddr);

    return 0;

}

int main()

{

    // 1. 调用acl进行device/stream初始化

    int32_t deviceId = 0;

    aclrtStream stream;

    auto ret = Init(deviceId, &stream);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret); return ret);



    // 2. 构造输入与输出，需要根据API的接口自定义构造

    aclTensor* selfX = nullptr;

    void* selfXDeviceAddr = nullptr;

    std::vector<int64_t> selfXShape = {10,10};

    std::vector<int32_t> selfXHostData(100, 1);

    ret = CreateAclTensor(selfXHostData, selfXShape, &selfXDeviceAddr, aclDataType::ACL_INT32, &selfX);

    CHECK_RET(ret == ACL_SUCCESS, return ret);



    aclTensor* out = nullptr;

    void* outDeviceAddr = nullptr;

    std::vector<int64_t> outShape = {10,10};

    std::vector<int32_t> outHostData(100, 5);

    ret = CreateAclTensor(outHostData, outShape, &outDeviceAddr, aclDataType::ACL_INT32, &out);

    CHECK_RET(ret == ACL_SUCCESS, return ret);



    // 3. 调用CANN算子库API，需要修改为具体的Api名称

    uint64_t workspaceSize = 0;

    aclOpExecutor* executor;



    int32_t diagonal=0;

    // 4. 调用aclnnTril第一段接口

    ret = aclnnTrilGetWorkspaceSize(selfX,diagonal, out, &workspaceSize, &executor);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnTrilGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);



    // 根据第一段接口计算出的workspaceSize申请device内存

    void* workspaceAddr = nullptr;

    if (workspaceSize > static_cast<uint64_t>(0)) {

        ret = aclrtMalloc(&workspaceAddr, workspaceSize, ACL_MEM_MALLOC_HUGE_FIRST);

        CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("allocate workspace failed. ERROR: %d\n", ret); return ret);

    }



    // 5. 调用aclnnTril第二段接口

    ret = aclnnTril(workspaceAddr, workspaceSize, executor, stream);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnTril failed. ERROR: %d\n", ret); return ret);



    // 6. （固定写法）同步等待任务执行结束

    ret = aclrtSynchronizeStream(stream);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSynchronizeStream failed. ERROR: %d\n", ret); return ret);



    // 7. 获取输出的值，将device侧内存上的结果拷贝至host侧，需要根据具体API的接口定义修改

    PrintOutResult(outShape, &outDeviceAddr);



    // 8. 释放aclTensor，需要根据具体API的接口定义修改

    aclDestroyTensor(selfX);

    aclDestroyTensor(out);



    // 9. 释放device资源

    aclrtFree(selfXDeviceAddr);

    aclrtFree(outDeviceAddr);

    if (workspaceSize > static_cast<uint64_t>(0)) {

        aclrtFree(workspaceAddr);

    }

    aclrtDestroyStream(stream);

    aclrtResetDevice(deviceId);



    // 10. acl去初始化

    aclFinalize();

    return 0;

}