/**

 * Copyright (c) 2026 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 <iostream>

#include <vector>

#include "acl/acl.h"

#include "aclnnop/aclnn_bucketize.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)

{

    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);

    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);



    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);



    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];

    }



    *tensor = aclCreateTensor(shape.data(), shape.size(), dataType, strides.data(), 0, aclFormat::ACL_FORMAT_ND,

                              shape.data(), shape.size(), *deviceAddr);

    return 0;

}



int main()

{

    int32_t deviceId = 0;

    aclrtStream stream;

    auto ret = Init(deviceId, &stream);

    CHECK_RET(ret == 0, LOG_PRINT("Init acl failed. ERROR: %d\n", ret); return ret);



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

    std::vector<int64_t> boundariesShape = {3};

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

    void* selfDeviceAddr = nullptr;

    void* boundariesDeviceAddr = nullptr;

    void* outDeviceAddr = nullptr;

    aclTensor* self = nullptr;

    aclTensor* boundaries = nullptr;

    aclTensor* out = nullptr;



    std::vector<float> selfHostData = {-5, 10000, 150, 10, 5, 100};

    std::vector<float> boundariesHostData = {0, 10, 100};

    std::vector<int64_t> outHostData = {0, 0, 0, 0, 0, 0};



    ret = CreateAclTensor(selfHostData, selfShape, &selfDeviceAddr, aclDataType::ACL_FLOAT, &self);

    CHECK_RET(ret == ACL_SUCCESS, return ret);



    ret = CreateAclTensor(boundariesHostData, boundariesShape, &boundariesDeviceAddr, aclDataType::ACL_FLOAT,

                          &boundaries);

    CHECK_RET(ret == ACL_SUCCESS, return ret);



    ret = CreateAclTensor(outHostData, outShape, &outDeviceAddr, aclDataType::ACL_INT64, &out);

    CHECK_RET(ret == ACL_SUCCESS, return ret);



    uint64_t workspaceSize = 0;

    aclOpExecutor* executor;



    bool outInt32 = false;

    bool right = false;



    ret = aclnnBucketizeGetWorkspaceSize(self, boundaries, outInt32, right, out, &workspaceSize, &executor);

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



    void* workspaceAddr = nullptr;

    if (workspaceSize > 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;);

    }



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

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



    ret = aclrtSynchronizeStream(stream);

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



    auto size = GetShapeSize(outShape);

    std::vector<int64_t> resultData(size, 0);

    ret = aclrtMemcpy(resultData.data(), resultData.size() * sizeof(resultData[0]), outDeviceAddr,

                      size * sizeof(int64_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 < size; i++) {

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

    }



    aclDestroyTensor(self);

    aclDestroyTensor(boundaries);

    aclDestroyTensor(out);



    aclrtFree(selfDeviceAddr);

    aclrtFree(boundariesDeviceAddr);

    aclrtFree(outDeviceAddr);

    if (workspaceSize > 0) {

        aclrtFree(workspaceAddr);

    }

    aclrtDestroyStream(stream);

    aclrtResetDevice(deviceId);

    aclFinalize();

    return 0;

}