/**

 * 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 "onnx_common.h"

#include "op_nn_proto_extend.h"



using namespace std;

using namespace ge;

using ge::Operator;



namespace domi {

static Status ParseParamsTopK(const Message* op_src, ge::Operator& op_dest)

{

    const ge::onnx::NodeProto* node = reinterpret_cast<const ge::onnx::NodeProto*>(op_src);

    if (node == nullptr) {

        OP_LOGE("TopK", "Dynamic cast op_src to NodeProto failed.");

        return FAILED;

    }



    int axis = -1;

    bool sorted = true;

    bool largest = true;

    for (const auto& attr : node->attribute()) {

        if (attr.name() == "sorted" && attr.type() == ge::onnx::AttributeProto::INT) {

            sorted = static_cast<bool>(attr.i());

        } else if (attr.name() == "largest" && attr.type() == ge::onnx::AttributeProto::INT) {

            largest = static_cast<bool>(attr.i());

        } else if (attr.name() == "axis" && attr.type() == ge::onnx::AttributeProto::INT) {

            axis = attr.i();

        }

    }



    op_dest.SetAttr("name", node->name());

    op_dest.SetAttr("sorted", sorted);

    op_dest.SetAttr("dim", axis);

    op_dest.SetAttr("largest", largest);



    return SUCCESS;

}



static Status ParseParamsTopKV9(const Message* op_src, ge::Operator& op_dest)

{

    const ge::onnx::NodeProto* node = reinterpret_cast<const ge::onnx::NodeProto*>(op_src);

    if (node == nullptr) {

        OP_LOGE("TopK", "Dynamic cast op_src to NodeProto failed.");

        return FAILED;

    }



    // 1.add dynamic input and out

    int op_input_size = node->input_size();

    int op_output_size = node->output_size();

    op_dest.DynamicInputRegister("x", op_input_size);

    op_dest.DynamicOutputRegister("y", op_output_size);



    // 2.set original_type

    op_dest.SetAttr("original_type", "ai.onnx::9::TopK");



    int axis = -1;

    int64_t data = -1;



    // 3.set attr if needed

    for (const auto& attr : node->attribute()) {

        if (attr.name() == "k" && attr.type() == ge::onnx::AttributeProto::INT) {

            data = attr.i();

        }

        if (attr.name() == "axis" && attr.type() == ge::onnx::AttributeProto::INT) {

            axis = attr.i();

        }

    }

    if (data == -1) {

        OP_LOGE("TopK", "onnx TopK has no K attr.");

        return PARAM_INVALID;

    }



    const ge::Tensor scalar_k = CreateScalar(data, ge::DT_INT32);

    op_dest.SetAttr("k", scalar_k);

    op_dest.SetAttr("dim", axis);

    op_dest.SetAttr("name", node->name());

    return SUCCESS;

}



static Status ParseOpToGraphTopKV9(const ge::Operator& op, ge::Graph& graph)

{

    std::string ori_name;

    if (op.GetAttr("name", ori_name) != SUCCESS) {

        OP_LOGE(GetOpName(op).c_str(), "get name from op failed.");

        return FAILED;

    }



    auto data0 = op::Data((ori_name + "_data0").c_str()).set_attr_index(0);

    ge::Tensor k_value;

    if (op.GetAttr("k", k_value) != SUCCESS) {

        OP_LOGE("TopK", "get value from op failed");

        return FAILED;

    }



    int dim = -1;

    if (op.GetAttr("dim", dim) != SUCCESS) {

        OP_LOGE("TopK", "get dim from op failed");

        return FAILED;

    }



    auto data1 = op::Const((ori_name + "_data1").c_str()).set_attr_value(k_value);

    auto topk = op::TopK((ori_name + "_TopK").c_str()).set_input_x(data0).set_input_k(data1).set_attr_dim(dim);

    std::vector<Operator> inputs{data0};

    std::vector<std::pair<Operator, std::vector<size_t> > > output_indexs;

    output_indexs.emplace_back(topk, vector<std::size_t>{0});

    output_indexs.emplace_back(topk, vector<std::size_t>{1});

    graph.SetInputs(inputs).SetOutputs(output_indexs);

    return SUCCESS;

}



REGISTER_CUSTOM_OP("PartitionedCall")

    .FrameworkType(ONNX)

    .OriginOpType(std::vector<ge::AscendString>{ge::AscendString("ai.onnx::8::TopK"),

                                                ge::AscendString("ai.onnx::9::TopK")})

    .ParseParamsFn(ParseParamsTopKV9)

    .ParseOpToGraphFn(ParseOpToGraphTopKV9)

    .ImplyType(ImplyType::TVM);



REGISTER_CUSTOM_OP("TopK")

    .FrameworkType(ONNX)

    .OriginOpType(

        {ge::AscendString("ai.onnx::10::TopK"),

         ge::AscendString("ai.onnx::11::TopK"),

         ge::AscendString("ai.onnx::12::TopK"),

         ge::AscendString("ai.onnx::13::TopK"),

         ge::AscendString("ai.onnx::14::TopK"),

         ge::AscendString("ai.onnx::15::TopK"),

         ge::AscendString("ai.onnx::16::TopK"),

         ge::AscendString("ai.onnx::17::TopK"),

         ge::AscendString("ai.onnx::18::TopK")})

    .ParseParamsFn(ParseParamsTopK)

    .ImplyType(ImplyType::TVM);



} // namespace domi