/**
 * 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.
 */
/**
 * aclnnPdistForward 调用示例
 *
 * 功能：计算输入矩阵各行之间的 p-范数成对距离（Forward 接口，p 以 aclScalar 传入）。
 * 接口：aclnnPdistForwardGetWorkspaceSize / aclnnPdistForward
 */

#include <iostream>
#include <vector>
#include <cstring>
#include "acl/acl.h"
#include "aclnnop/aclnn_pdist_forward.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<float> 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 < size; i++) {
        LOG_PRINT("result[%ld] = %f\n", i, resultData[i]);
    }
}

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

    // 构造输入: 4x3 矩阵, float32
    std::vector<int64_t> inputShape = {4, 3};
    std::vector<float> inputData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
    aclTensor* inputTensor = nullptr;
    void* inputDeviceAddr = nullptr;
    ret = CreateAclTensor(inputData, inputShape, &inputDeviceAddr, aclDataType::ACL_FLOAT, &inputTensor);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 构造输出: N*(N-1)/2 = 6 个距离值
    std::vector<int64_t> outputShape = {6};
    std::vector<float> outputData(6, 0);
    aclTensor* outputTensor = nullptr;
    void* outputDeviceAddr = nullptr;
    ret = CreateAclTensor(outputData, outputShape, &outputDeviceAddr, aclDataType::ACL_FLOAT, &outputTensor);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 构造 p 值为 aclScalar
    float pValue = 2.0f;
    aclScalar* pScalar = aclCreateScalar(&pValue, ACL_FLOAT);

    // 调用 aclnnPdistForward 第一段接口
    uint64_t workspaceSize = 0;
    aclOpExecutor* executor;
    ret = aclnnPdistForwardGetWorkspaceSize(inputTensor, pScalar, outputTensor, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnPdistForwardGetWorkspaceSize 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);
    }

    // 调用 aclnnPdistForward 第二段接口
    ret = aclnnPdistForward(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnPdistForward 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);

    // 输出结果
    LOG_PRINT("aclnnPdistForward result (p=2.0, input 4x3):\n");
    PrintOutResult(outputShape, &outputDeviceAddr);

    // 释放资源
    aclDestroyScalar(pScalar);
    aclDestroyTensor(inputTensor);
    aclDestroyTensor(outputTensor);
    aclrtFree(inputDeviceAddr);
    aclrtFree(outputDeviceAddr);
    if (workspaceSize > 0) {
        aclrtFree(workspaceAddr);
    }
    aclrtDestroyStream(stream);
    aclrtResetDevice(deviceId);
    aclFinalize();

    return 0;
}