/**
 * 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.
 */

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

#include <iostream>
#include <memory>
#include <vector>

#include "acl/acl.h"
#include "aclnnop/aclnn_quant_batch_matmul_inplace_add.h"

#define CHECK_RET(cond, return_expr) \
    do {                             \
        if (!(cond)) {               \
            return_expr;             \
        }                            \
    } while (0)

#define CHECK_FREE_RET(cond, return_expr) \
    do {                                  \
        if (!(cond)) {                    \
            Finalize(deviceId, stream);   \
            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 dim : shape) {
        shapeSize *= dim;
    }
    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 = static_cast<int64_t>(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;
}

void Finalize(int32_t deviceId, aclrtStream stream)
{
    aclrtDestroyStream(stream);
    aclrtResetDevice(deviceId);
    aclFinalize();
}

int AclnnQuantBatchMatmulInplaceAddTTDemo(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);

    int64_t m = 8;
    int64_t k = 16;
    int64_t n = 8;

    // 当前支持的调用组合为 transposeX1=true, transposeX2=false，
    // 因此 x1/x2 的 shape 需要分别构造成 (k, m) 和 (k, n)。
    std::vector<int64_t> x1Shape = {k, m};
    std::vector<int64_t> x2Shape = {k, n};
    std::vector<int64_t> x1ScaleShape = {1};
    std::vector<int64_t> x2ScaleShape = {1};
    std::vector<int64_t> yRefShape = {m, n};

    void* x1DeviceAddr = nullptr;
    void* x2DeviceAddr = nullptr;
    void* x1ScaleDeviceAddr = nullptr;
    void* x2ScaleDeviceAddr = nullptr;
    void* yRefDeviceAddr = nullptr;

    aclTensor* x1 = nullptr;
    aclTensor* x2 = nullptr;
    aclTensor* x1Scale = nullptr;
    aclTensor* x2Scale = nullptr;
    aclTensor* yRef = nullptr;

    std::vector<uint8_t> x1HostData(GetShapeSize(x1Shape), 0b1000); // 0b1000 为 hifloat8 的 1.0
    std::vector<uint8_t> x2HostData(GetShapeSize(x2Shape), 0b1000);
    std::vector<float> x1ScaleHostData(GetShapeSize(x1ScaleShape), 1.0f);
    std::vector<float> x2ScaleHostData(GetShapeSize(x2ScaleShape), 1.0f);
    std::vector<float> yRefHostData(GetShapeSize(yRefShape), 1.0f);

    ret = CreateAclTensor(x1HostData, x1Shape, &x1DeviceAddr, aclDataType::ACL_HIFLOAT8, &x1);
    std::unique_ptr<aclTensor, aclnnStatus (*)(const aclTensor*)> x1TensorPtr(x1, aclDestroyTensor);
    std::unique_ptr<void, aclError (*)(void*)> x1DeviceAddrPtr(x1DeviceAddr, aclrtFree);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    ret = CreateAclTensor(x2HostData, x2Shape, &x2DeviceAddr, aclDataType::ACL_HIFLOAT8, &x2);
    std::unique_ptr<aclTensor, aclnnStatus (*)(const aclTensor*)> x2TensorPtr(x2, aclDestroyTensor);
    std::unique_ptr<void, aclError (*)(void*)> x2DeviceAddrPtr(x2DeviceAddr, aclrtFree);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    ret = CreateAclTensor(x1ScaleHostData, x1ScaleShape, &x1ScaleDeviceAddr, aclDataType::ACL_FLOAT, &x1Scale);
    std::unique_ptr<aclTensor, aclnnStatus (*)(const aclTensor*)> x1ScaleTensorPtr(x1Scale, aclDestroyTensor);
    std::unique_ptr<void, aclError (*)(void*)> x1ScaleDeviceAddrPtr(x1ScaleDeviceAddr, aclrtFree);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    ret = CreateAclTensor(x2ScaleHostData, x2ScaleShape, &x2ScaleDeviceAddr, aclDataType::ACL_FLOAT, &x2Scale);
    std::unique_ptr<aclTensor, aclnnStatus (*)(const aclTensor*)> x2ScaleTensorPtr(x2Scale, aclDestroyTensor);
    std::unique_ptr<void, aclError (*)(void*)> x2ScaleDeviceAddrPtr(x2ScaleDeviceAddr, aclrtFree);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    ret = CreateAclTensor(yRefHostData, yRefShape, &yRefDeviceAddr, aclDataType::ACL_FLOAT, &yRef);
    std::unique_ptr<aclTensor, aclnnStatus (*)(const aclTensor*)> yRefTensorPtr(yRef, aclDestroyTensor);
    std::unique_ptr<void, aclError (*)(void*)> yRefDeviceAddrPtr(yRefDeviceAddr, aclrtFree);
    CHECK_RET(ret == ACL_SUCCESS, return ret);

    bool transposeX1 = true;
    bool transposeX2 = false;
    int64_t groupSize = 0;

    uint64_t workspaceSize = 0;
    aclOpExecutor* executor = nullptr;
    void* workspaceAddr = nullptr;
    std::unique_ptr<void, aclError (*)(void*)> workspaceAddrPtr(nullptr, aclrtFree);

    ret = aclnnQuantBatchMatmulInplaceAddGetWorkspaceSize(
        x1, x2, x1Scale, x2Scale, yRef, transposeX1, transposeX2, groupSize, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS,
              LOG_PRINT("aclnnQuantBatchMatmulInplaceAddGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);

    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);
        workspaceAddrPtr.reset(workspaceAddr);
    }

    ret = aclnnQuantBatchMatmulInplaceAdd(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnQuantBatchMatmulInplaceAdd 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);

    std::vector<float> resultData(GetShapeSize(yRefShape), 0.0f);
    ret = aclrtMemcpy(
        resultData.data(), resultData.size() * sizeof(resultData[0]), yRefDeviceAddr,
        resultData.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 (size_t i = 0; i < resultData.size(); ++i) {
        LOG_PRINT("result[%zu] is: %f\n", i, resultData[i]);
    }
    return ACL_SUCCESS;
}

int main()
{
    int32_t deviceId = 0;
    aclrtStream stream;
    auto ret = AclnnQuantBatchMatmulInplaceAddTTDemo(deviceId, stream);
    CHECK_FREE_RET(ret == ACL_SUCCESS,
                   LOG_PRINT("AclnnQuantBatchMatmulInplaceAddTTDemo failed. ERROR: %d\n", ret); return ret);

    Finalize(deviceId, stream);
    return 0;
}