/**

 * 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 "math/accumulate_nv2/op_graph/accumulate_nv2_proto.h"

#include "math/muls/op_graph/muls_proto.h"



using ge::Operator;

using namespace ge;



namespace domi {

using NodeProto = ge::onnx::NodeProto;

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

{

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

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

    if (node == nullptr) {

        OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed");

        return FAILED;

    }

    int n_num = node->input_size();



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

    op_dest.SetAttr("N", n_num);

    op_dest.DynamicInputRegister("x", n_num);

    op_dest.DynamicOutputRegister("y", 1);



    return SUCCESS;

}



static Status ParseOpToGraphMean(const ge::Operator& op, 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;

    }



    int n_num = 0;

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

        OP_LOGE(GetOpName(op).c_str(), "get attribute N failed");

        return FAILED;

    }

    std::vector<ge::Operator> inputs;

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

    if (n_num == 0) {

        OP_LOGE("ParseOpToGraphMean", "input size must greater than 1");

        return FAILED;

    } else {

        auto acc =

            op::AccumulateNV2((ori_name + "_AccumulateNV2").c_str()).create_dynamic_input_x(n_num).set_attr_N(n_num);

        std::string input_name = "";

        for (int i = 0; i < n_num; ++i) {

            input_name = "data_mean_" + to_string(i);

            auto data_op = op::Data((ori_name + input_name).c_str()).set_attr_index(i);

            acc.set_dynamic_input_x(i, data_op);

            inputs.push_back(data_op);

        }



        float num = 1.0 / n_num;

        auto div_op = op::Muls((ori_name + "_Muls").c_str()).set_input_x(acc).set_attr_value(num);

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

    }

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

    return SUCCESS;

}



REGISTER_CUSTOM_OP("PartitionedCall")

  .FrameworkType(ONNX)

  .OriginOpType({ge::AscendString("ai.onnx::8::Mean"),

                 ge::AscendString("ai.onnx::9::Mean"),

                 ge::AscendString("ai.onnx::10::Mean"),

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

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

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

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

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

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

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

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

  .ParseParamsFn(ParseParamsMean)

  .ParseOpToGraphFn(ParseOpToGraphMean)

  .ImplyType(ImplyType::TVM);

}  // namespace domi