/**
 * 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_eq_scalar.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>& selfShape, void** selfDeviceAddr, aclTensor** self, aclScalar** other)
{
    std::vector<double> selfHostData = {0, 1, 2, 3, 4, 5, 6, 7};
    double otherValue = 2.0;

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

    // 创建other aclScalar
    *other = aclCreateScalar(&otherValue, aclDataType::ACL_DOUBLE);
    CHECK_RET(*other != nullptr, return ACL_ERROR_INVALID_PARAM);

    return ACL_SUCCESS;
}

aclError ExecOpApi(
    aclTensor* self, aclScalar* other, void* selfDeviceAddr, std::vector<int64_t>& selfShape, aclrtStream stream,
    void** workspaceAddrOut)
{
    uint64_t workspaceSize = 0;
    aclOpExecutor* executor;

    auto ret = aclnnInplaceEqScalarGetWorkspaceSize(self, other, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnInplaceEqScalarGetWorkspaceSize failed. ERROR: %d\n", ret);
              return ret);

    // workspace 分配
    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;

    // 执行
    ret = aclnnInplaceEqScalar(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnInplaceEqScalar 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);

    // 拷贝输出
    auto size = GetShapeSize(selfShape);
    std::vector<double> resultData(size);

    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: %lf\n", i, resultData[i]);
    }

    return ACL_SUCCESS;
}

int main()
{
    int32_t deviceId = 0;
    aclrtStream stream;

    auto ret = InitAcl(deviceId, &stream);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    std::vector<int64_t> selfShape = {4, 2};
    void* selfDeviceAddr = nullptr;

    aclTensor* self = nullptr;
    aclScalar* other = nullptr;

    ret = CreateInputs(selfShape, &selfDeviceAddr, &self, &other);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    void* workspaceAddr = nullptr;
    ret = ExecOpApi(self, other, selfDeviceAddr, selfShape, stream, &workspaceAddr);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    // 销毁
    aclDestroyTensor(self);
    aclDestroyScalar(other);

    aclrtFree(selfDeviceAddr);
    if (workspaceAddr != nullptr) {
        aclrtFree(workspaceAddr);
    }
    // 释放
    aclrtDestroyStream(stream);
    aclrtResetDevice(deviceId);
    aclFinalize();

    return 0;
}