/**

 * Copyright (c) Huawei Technologies Co., Ltd.2025. All rights reserved.

 * This file is a part of the CANN Open Software.

 * Licensed under 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 <iostream>

#include <vector>

#include "acl/acl.h"

#include "aclnnop/aclnn_coalesce_sparse.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;

}



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);

    // 调用aclrtMalloc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);

    // 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. （固定写法）device/stream初始化，参考acl API文档

    // 根据自己的实际device填写deviceId

    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. 两组其他用例之一 可参考

    // std::vector<int64_t> uniqueLenShape = {1};

    // std::vector<int64_t> uniqueIndicesShape = {6};

    // std::vector<int64_t> indexShape = {6,1};

    // std::vector<int64_t> valueShape = {6};

    // std::vector<int64_t> newIndexShape = {3,1};

    // std::vector<int64_t> newValueShape = {3};

    // void* uniqueLenDeviceAddr = nullptr;

    // void* uniqueIndicesDeviceAddr = nullptr;

    // void* indexDeviceAddr = nullptr;

    // void* valueDeviceAddr = nullptr;

    // void* newIndexDeviceAddr = nullptr;

    // void* newValueDeviceAddr = nullptr;

    // aclTensor* uniqueLen = nullptr;

    // aclTensor* uniqueIndices = nullptr;

    // aclTensor* index = nullptr;

    // aclTensor* value = nullptr;

    // aclTensor* newIndex = nullptr;

    // aclTensor* newValue = nullptr;

    // std::vector<int32_t> uniqueLenData = {6};

    // std::vector<int32_t> uniqueIndicesData = {0, 0, 1, 2, 1, 2};

    // std::vector<int32_t> indexData = {0, 0, 1, 2, 1, 2};

    // std::vector<float> valueData = {1, 2, 4, 8, 16, 32};

    // std::vector<int32_t> newIndexData = {0, 0, 0};

    // std::vector<float> newValueData = {0, 0, 0};

    

    // 2. 两组其他用例之一 可参考

    // std::vector<int64_t> uniqueLenShape = {1};

    // std::vector<int64_t> uniqueIndicesShape = {4};

    // std::vector<int64_t> indexShape = {4,2};

    // std::vector<int64_t> valueShape = {4};

    // std::vector<int64_t> newIndexShape = {3,2};

    // std::vector<int64_t> newValueShape = {3};

    // void* uniqueLenDeviceAddr = nullptr;

    // void* uniqueIndicesDeviceAddr = nullptr;

    // void* indexDeviceAddr = nullptr;

    // void* valueDeviceAddr = nullptr;

    // void* newIndexDeviceAddr = nullptr;

    // void* newValueDeviceAddr = nullptr;

    // aclTensor* uniqueLen = nullptr;

    // aclTensor* uniqueIndices = nullptr;

    // aclTensor* index = nullptr;

    // aclTensor* value = nullptr;

    // aclTensor* newIndex = nullptr;

    // aclTensor* newValue = nullptr;

    // std::vector<int32_t> uniqueLenData = {3};

    // std::vector<int32_t> uniqueIndicesData = {0, 1, 0, 2};

    // std::vector<int32_t> indexData = {0, 0, 1, 1, 0, 0, 2, 2};

    // std::vector<float> valueData = {1, 2, 3, 4};

    // std::vector<int32_t> newIndexData = {0, 0, 0, 0, 0, 0};

    // std::vector<float> newValueData = {0, 0, 0};



    // 2. 构造输入与输出，需要根据API的接口自定义构造

    std::vector<int64_t> uniqueLenShape = {1};

    std::vector<int64_t> uniqueIndicesShape = {8};

    std::vector<int64_t> indexShape = {8,4};

    std::vector<int64_t> valueShape = {8};

    std::vector<int64_t> newIndexShape = {8,4};

    std::vector<int64_t> newValueShape = {8};

    void* uniqueLenDeviceAddr = nullptr;

    void* uniqueIndicesDeviceAddr = nullptr;

    void* indexDeviceAddr = nullptr;

    void* valueDeviceAddr = nullptr;

    void* newIndexDeviceAddr = nullptr;

    void* newValueDeviceAddr = nullptr;

    aclTensor* uniqueLen = nullptr;

    aclTensor* uniqueIndices = nullptr;

    aclTensor* index = nullptr;

    aclTensor* value = nullptr;

    aclTensor* newIndex = nullptr;

    aclTensor* newValue = nullptr;

    std::vector<int32_t> uniqueLenData = {8};

    std::vector<int32_t> uniqueIndicesData = {5, 1, 6, 4, 7, 0, 3, 2};

    std::vector<int32_t> indexData = {17, 17,  1,  0,

         3, 17,  1,  8,

        19, 10, 13,  6,

        13, 16,  0, 15,

        19, 14,  5, 15,

         2,  8, 18,  5,

         5,  2,  0, 13,

         4,  5,  9,  1

    };

    std::vector<float> valueData = {148.2500, -706.5000,  178.6250,  399.5000, -795.5000, -171.8750,

         388.7500, -171.6250};

    std::vector<int32_t> newIndexData = {17, 17,  1,  0,

         3, 17,  1,  8,

        19, 10, 13,  6,

        13, 16,  0, 15,

        19, 14,  5, 15,

         2,  8, 18,  5,

         5,  2,  0, 13,

         4,  5,  9,  1

    };

    std::vector<float> newValueData = {0, 0, 0,0,0,0,0,0};



    // 创建in aclTensor

    ret = CreateAclTensor(uniqueLenData, uniqueLenShape, &uniqueLenDeviceAddr, aclDataType::ACL_INT32, &uniqueLen);

    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建in aclTensor

    ret = CreateAclTensor(uniqueIndicesData, uniqueIndicesShape, &uniqueIndicesDeviceAddr, aclDataType::ACL_INT32, &uniqueIndices);

    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建in aclTensor

    ret = CreateAclTensor(indexData, indexShape, &indexDeviceAddr, aclDataType::ACL_INT32, &index);

    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建in aclTensor

    ret = CreateAclTensor(valueData, valueShape, &valueDeviceAddr, aclDataType::ACL_FLOAT, &value);

    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建out aclTensor

    ret = CreateAclTensor(newIndexData, newIndexShape, &newIndexDeviceAddr, aclDataType::ACL_INT32, &newIndex);

    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建out aclTensor

    ret = CreateAclTensor(newValueData, newValueShape, &newValueDeviceAddr, aclDataType::ACL_FLOAT, &newValue);

    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;

    // 调用aclnnCoalesceSparse第一段接口

    ret = aclnnCoalesceSparseGetWorkspaceSize(uniqueLen, uniqueIndices, index, value, newIndex, newValue, &workspaceSize, &executor);

    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnCoalesceSparseGetWorkspaceSize 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);

    }

    // 调用aclnnCoalesceSparse第二段接口

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

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



    // 4. （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);



    // 5. 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

    auto indexSize = GetShapeSize(newIndexShape);

    std::vector<int32_t> resultIndexData(indexSize, 0);

    ret = aclrtMemcpy(

        resultIndexData.data(), resultIndexData.size() * sizeof(int32_t), newIndexDeviceAddr, indexSize * sizeof(int32_t),

        ACL_MEMCPY_DEVICE_TO_HOST);

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

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

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

    }



    auto valueSize = GetShapeSize(newValueShape);

    std::vector<float> resultValueData(valueSize, 0);

    ret = aclrtMemcpy(

        resultValueData.data(), resultValueData.size() * sizeof(resultValueData[0]), newValueDeviceAddr, valueSize * sizeof(resultValueData[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 ret);

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

        LOG_PRINT("result[%ld] is: %f\n", i, resultValueData[i]);

    }



    // 6. 释放aclTensor，需要根据具体API的接口定义修改

    aclDestroyTensor(uniqueLen);

    aclDestroyTensor(uniqueIndices);

    aclDestroyTensor(index);

    aclDestroyTensor(value);

    aclDestroyTensor(newIndex);

    aclDestroyTensor(newValue);



    // 7. 释放device资源

    aclrtFree(uniqueLenDeviceAddr);

    aclrtFree(uniqueIndicesDeviceAddr);

    aclrtFree(indexDeviceAddr);

    aclrtFree(valueDeviceAddr);

    aclrtFree(newIndexDeviceAddr);

    aclrtFree(newValueDeviceAddr);

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

        aclrtFree(workspaceAddr);

    }

    aclrtDestroyStream(stream);

    aclrtResetDevice(deviceId);

    aclFinalize();

    return 0;

}