/**
 * 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.
 */

#include <iostream>
#include <vector>
#include "acl/acl.h"
#include "aclnnop/aclnn_ceil.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，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 = 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;
}

aclError InitAcl(int32_t deviceId, aclrtStream* stream)
{
    auto ret = Init(deviceId, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret); return ret);
    return ACL_SUCCESS;
}

aclError CreateInputs(
    std::vector<int64_t>& inputShape, std::vector<int64_t>& outShape, void** selfDeviceAddr, void** outDeviceAddr,
    aclTensor** self, aclTensor** out)
{
    std::vector<float> selfHostData = {0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7};
    std::vector<float> outHostData(8, 0);

    // 创建 self aclTensor
    auto ret = CreateAclTensor(selfHostData, inputShape, selfDeviceAddr, aclDataType::ACL_FLOAT, self);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 创建 out aclTensor
    ret = CreateAclTensor(outHostData, outShape, outDeviceAddr, aclDataType::ACL_FLOAT, out);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    return ACL_SUCCESS;
}

aclError ExecOpApi(
    aclTensor* self, aclTensor* out, void** workspaceAddrOut, uint64_t& workspaceSize, void* selfDeviceAddr,
    void* outDeviceAddr, std::vector<int64_t>& outShape, aclrtStream stream)
{
    aclOpExecutor* executor;
    auto size = GetShapeSize(outShape);
    std::vector<float> resultData(size, 0);

    // aclnnCeil 接口调用示例
    LOG_PRINT("test aclnnCeil\n");

    // 调用 aclnnCeil 第一段接口
    auto ret = aclnnCeilGetWorkspaceSize(self, out, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnCeilGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);

    // 根据 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);
    }
    *workspaceAddrOut = workspaceAddr;

    // 调用 aclnnCeil 第二段接口
    ret = aclnnCeil(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnCeil failed. ERROR: %d\n", ret); return ret);

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

    // 拷贝 out 结果
    ret = aclrtMemcpy(
        resultData.data(), resultData.size() * sizeof(resultData[0]), outDeviceAddr, 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 ret);

    for (int64_t i = 0; i < size; i++) {
        LOG_PRINT("result[%ld] is: %lf\n", i, resultData[i]);
    }

    // aclnnInplaceCeil 调用示例
    LOG_PRINT("\ntest aclnnInplaceCeil\n");

    // 调用 aclnnInplaceCeil 第一段接口
    ret = aclnnInplaceCeilGetWorkspaceSize(self, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnInplaceCeilGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);

    // 根据 workspaceSize 再次申请 device 内存（与原逻辑一致）
    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);
    }
    *workspaceAddrOut = workspaceAddr;

    // 调用 aclnnInplaceCeil 第二段接口
    ret = aclnnInplaceCeil(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnInplaceCeil failed. ERROR: %d\n", ret); return ret);

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

    // 拷贝 self 结果
    ret = aclrtMemcpy(
        resultData.data(), resultData.size() * sizeof(resultData[0]), selfDeviceAddr, 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 ret);

    for (int64_t i = 0; i < size; i++) {
        LOG_PRINT("result[%ld] is: %f\n", i, resultData[i]);
    }

    return ACL_SUCCESS;
}

int main()
{
    // 1. device/stream 初始化
    int32_t deviceId = 0;
    aclrtStream stream;
    auto ret = InitAcl(deviceId, &stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("InitAcl failed. ERROR: %d\n", ret); return ret);

    // 2. 构造输入与输出
    std::vector<int64_t> inputShape = {4, 2};
    std::vector<int64_t> outShape = {4, 2};

    void* selfDeviceAddr = nullptr;
    void* outDeviceAddr = nullptr;
    aclTensor* self = nullptr;
    aclTensor* out = nullptr;

    ret = CreateInputs(inputShape, outShape, &selfDeviceAddr, &outDeviceAddr, &self, &out);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 3. 调用 CANN 算子 API（ceil + inplace ceil）
    uint64_t workspaceSize = 0;
    void* workspaceAddr = nullptr;

    ret = ExecOpApi(self, out, &workspaceAddr, workspaceSize, selfDeviceAddr, outDeviceAddr, outShape, stream);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 6. 释放 aclTensor
    aclDestroyTensor(self);
    aclDestroyTensor(out);

    // 7. 释放 device 资源
    aclrtFree(selfDeviceAddr);
    aclrtFree(outDeviceAddr);
    if (workspaceSize > 0) {
        aclrtFree(workspaceAddr);
    }
    aclrtDestroyStream(stream);
    aclrtResetDevice(deviceId);
    aclFinalize();

    return 0;
}