/**
 * 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.
 */

/*!
 * \file test_aclnn_nsa_compress.cpp
 * \brief
 */

#include <iostream>
#include <vector>
#include "acl/acl.h"
#include "aclnnop/aclnn_nsa_compress.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<aclFloat16> 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("mean result[%ld] is: %f\n", i, aclFloat16ToFloat(resultData[i]));
    }
}

int Init(int32_t deviceId, aclrtContext *context, aclrtStream *stream)
{
    // 固定写法，资源初始化
    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 = aclrtCreateContext(context, deviceId);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtCreateContext failed. ERROR: %d\n", ret); return ret);
    ret = aclrtSetCurrentContext(*context);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSetCurrentContext 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);

    // 调用aclCreateTensor接口创建aclTensor
    *tensor = aclCreateTensor(shape.data(), shape.size(), dataType, nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(),
                            shape.size(), *deviceAddr);
    return ACL_SUCCESS;
}
int main()
{
    // 1. （固定写法）device/context/stream初始化，参考AscendCL对外接口列表
    // 根据自己的实际device填写deviceId
    int32_t deviceId = 0;
    aclrtContext context;
    aclrtStream stream;
    auto ret = Init(deviceId, &context, &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
    void *inputDeviceAddr = nullptr;
    void *weightDeviceAddr = nullptr;
    void *outputDeviceAddr = nullptr;

    aclTensor *input = nullptr;
    aclTensor *weight = nullptr;
    aclIntArray *actSeqLenOptional = nullptr;
    aclTensor *output = nullptr;

    // 自定义输入与属性
    int64_t compressBlockSize = 32;
    int64_t compressStride = 32;
    int64_t actSeqLenType = 0; // 0是前缀和模式，1是count计数模式
    char *layout = "TND";
    int32_t batchSize = 1;
    int32_t sampleLen = 64;
    int32_t headNum = 4;
    int32_t headDim = 32;

    std::vector<int64_t> inputShape = {batchSize * sampleLen, headNum, headDim};
    std::vector<int64_t> weightShape = {compressBlockSize, headNum};
    std::vector<int64_t> actSeqShape = {batchSize};
    std::vector<aclFloat16> inputHostData(batchSize * sampleLen * headNum * headDim);
    std::vector<aclFloat16> weightHostData(compressBlockSize * headNum);
    std::vector<int64_t> actSeqHostData(batchSize);

    for (int i = 0; i < inputHostData.size(); i++)
    {
        inputHostData[i] = aclFloatToFloat16(1.0);
    }
    for (int i = 0; i < weightHostData.size(); i++)
    {
        weightHostData[i] = aclFloatToFloat16(1.0);
    }

    int outputNum = 0;
    int preActSeqLen = 0;
    for (int i = 0; i < batchSize; i++)
    {
        if (actSeqLenType == 0)
        {
            actSeqHostData[i] = sampleLen + preActSeqLen;
            preActSeqLen = actSeqHostData[i];
        }
        else if (actSeqLenType == 1)
        {
            actSeqHostData[i] = sampleLen;
        }
        if (sampleLen >= compressBlockSize)
        {
            outputNum += (sampleLen - compressBlockSize) / compressStride + 1;
        }
    }

    std::vector<int64_t> outputShape = {outputNum, headNum, headDim};
    std::vector<aclFloat16> outputHostData(outputNum * headNum * headDim);

    ret = CreateAclTensor(inputHostData, inputShape, &inputDeviceAddr, aclDataType::ACL_FLOAT16, &input);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(weightHostData, weightShape, &weightDeviceAddr, aclDataType::ACL_FLOAT16, &weight);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    actSeqLenOptional = aclCreateIntArray(actSeqHostData.data(), actSeqHostData.size());

    ret = CreateAclTensor(outputHostData, outputShape, &outputDeviceAddr, aclDataType::ACL_FLOAT16, &output);
    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aclnnNsaCompressGetWorkspaceSize第一段接口
    ret = aclnnNsaCompressGetWorkspaceSize(input, weight, actSeqLenOptional, layout, compressBlockSize, compressStride,
                                        actSeqLenType, output, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnNsaCompressGetWorkspaceSize 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 > 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aclnnNsaCompress第二段接口
    ret = aclnnNsaCompress(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnNsaCompress 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
    PrintOutResult(outputShape, &outputDeviceAddr);

    // 6. 释放aclTensor和aclScalar，需要根据具体API的接口定义修改
    aclDestroyTensor(input);
    aclDestroyTensor(weight);
    aclDestroyIntArray(actSeqLenOptional);
    aclDestroyTensor(output);

    // 7. 释放device资源
    aclrtFree(inputDeviceAddr);
    aclrtFree(weightDeviceAddr);
    // aclrtFree(actSeqDeviceAddr);
    aclrtFree(outputDeviceAddr);
    if (workspaceSize > 0)
    {
        aclrtFree(workspaceAddr);
    }
    aclrtDestroyStream(stream);
    aclrtDestroyContext(context);
    aclrtResetDevice(deviceId);
    aclFinalize();

    return 0;
}