/**
 * 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 "bitwise_or.h"
#include "opdev/aicpu/aicpu_task.h"
#include "opdev/data_type_utils.h"
#include "opdev/format_utils.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
#include "op_api/aclnn_check.h"

using namespace op;

namespace l0op {
OP_TYPE_REGISTER(BitwiseOr);

static const std::initializer_list<DataType> AICORE_DTYPE_SUPPORT_LIST = {DataType::DT_INT16, DataType::DT_INT32,
                                                                          DataType::DT_UINT16};

static const std::initializer_list<DataType> ASCEND910B_AICORE_DTYPE_SUPPORT_LIST = {
    DataType::DT_INT16, DataType::DT_UINT16, DataType::DT_INT32, DataType::DT_INT64};

static const std::initializer_list<DataType> ASCEND950_AICORE_DTYPE_SUPPORT_LIST = {
    DataType::DT_INT8,  DataType::DT_INT16,  DataType::DT_UINT8, DataType::DT_UINT16,
    DataType::DT_INT32, DataType::DT_UINT32, DataType::DT_INT64, DataType::DT_UINT64};

// 根据芯片类型、dtype判断算子是否支持走aicore
static inline bool IsAiCoreSupport(const aclTensor* self)
{
    // 910B、910_93
    auto curArch = GetCurrentPlatformInfo().GetCurNpuArch();
    if (curArch == NpuArch::DAV_2201) {
        return CheckType(self->GetDataType(), ASCEND910B_AICORE_DTYPE_SUPPORT_LIST);
    }
    // regbase
    if (IsRegBase(curArch)) {
        return CheckType(self->GetDataType(), ASCEND950_AICORE_DTYPE_SUPPORT_LIST);
    }
    // 910及其他
    return CheckType(self->GetDataType(), AICORE_DTYPE_SUPPORT_LIST);
}

// AICORE算子kernel
static inline const aclTensor* BitwiseOrAiCore(const aclTensor* self, const aclTensor* other, aclTensor* out,
                                               aclOpExecutor* executor)
{
    L0_DFX(BitwiseOrAiCore, self, other, out);
    // 使用框架宏ADD_TO_LAUNCHER_LIST_AICORE，将AiCore BitwiseOr算子加入任务队列
    // BitwiseOr是算子的OpType，self, other是算子的输入，out是算子的输出
    auto ret = ADD_TO_LAUNCHER_LIST_AICORE(BitwiseOr, OP_INPUT(self, other), OP_OUTPUT(out));
    OP_CHECK(ret == ACL_SUCCESS,
             OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "BitwiseOrAiCore ADD_TO_LAUNCHER_LIST_AICORE failed."), return nullptr);
    return out;
}

// AICPU算子kernel
static inline const aclTensor* BitwiseOrAiCpu(const aclTensor* self, const aclTensor* other, aclTensor* out,
                                              aclOpExecutor* executor)
{
    L0_DFX(BitwiseOrAiCpu, self, other, out);

    static internal::AicpuTaskSpace space("BitwiseOr", ge::DEPEND_IN_SHAPE, true);

    // 使用框架宏ADD_TO_LAUNCHER_LIST_AICPU，将AiCpu BitwiseOr算子加入任务队列
    // BitwiseOr是算子的OpType，self, other是算子的输入，out是算子的输出
    auto ret = ADD_TO_LAUNCHER_LIST_AICPU(BitwiseOr, OP_ATTR_NAMES(), OP_INPUT(self, other), OP_OUTPUT(out));
    OP_CHECK(ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "BitwiseOrAiCpu ADD_TO_LAUNCHER_LIST_AICPU failed."),
             return nullptr);
    return out;
}

const aclTensor* BitwiseOr(const aclTensor* self, const aclTensor* other, aclOpExecutor* executor)
{
    // 根据输入shape推导输出shape
    Shape broadcastShape;
    if (!BroadcastInferShape(self->GetViewShape(), other->GetViewShape(), broadcastShape)) {
        OP_LOGE(ACLNN_ERR_PARAM_INVALID, "Broadcast %s and %s failed.", ToString(self->GetViewShape()).GetString(),
                ToString(other->GetViewShape()).GetString());
        return nullptr;
    }
    // 根据输出shape申请输出tensor
    auto out = executor->AllocTensor(broadcastShape, self->GetDataType(), Format::FORMAT_ND);
    if (out == nullptr) {
        OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "alloc out tensor failed.");
        return nullptr;
    }
    if (IsAiCoreSupport(self)) {
        return BitwiseOrAiCore(self, other, out, executor);
    } else {
        return BitwiseOrAiCpu(self, other, out, executor);
    }
}
} // namespace l0op