/**

 * 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 "activation/threshold/op_graph/threshold_relu_proto.h"

using namespace std;

using namespace ge;

using ge::Operator;

namespace domi {

using NodeProto = ge::onnx::NodeProto;

using OpDesc = std::shared_ptr<ge::OpDesc>;

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

{

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

    if (node == nullptr) {

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

        return FAILED;

    }

    float alpha = 1.0;

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

        if (attr.name() == "alpha") {

            alpha = attr.f();

        }

    }



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

    op_dest.SetAttr("alpha", alpha);

    op_dest.SetAttr("original_type", "ai.onnx::11::ThresholdedRelu");



    op_dest.DynamicInputRegister("x", 1);

    op_dest.DynamicOutputRegister("y", 1);



    return SUCCESS;

}



static Status ParseOpToThresholdedRelu(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;

    }



    float alpha = 1.0f;

    op.GetAttr("alpha", alpha);

    auto data = op::Data((ori_name + "_data1").c_str()).set_attr_index(0);

    auto identity_op = op::Identity((ori_name + "_identity").c_str()).set_input_x(data);

    auto threshold_op = op::Threshold((ori_name + "_threshold").c_str())

                            .set_input_x(identity_op)

                            .set_attr_threshold(alpha);

    auto mul_op = op::Mul((ori_name + "_mul").c_str()).set_input_x1(identity_op).set_input_x2(threshold_op);

    std::vector<ge::Operator> inputs{data};

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

    output_indexs.emplace_back(mul_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::10::ThresholdedRelu"), ge::AscendString("ai.onnx::11::ThresholdedRelu"),

                   ge::AscendString("ai.onnx::12::ThresholdedRelu"), ge::AscendString("ai.onnx::13::ThresholdedRelu"),

                   ge::AscendString("ai.onnx::14::ThresholdedRelu"), ge::AscendString("ai.onnx::15::ThresholdedRelu"),

                   ge::AscendString("ai.onnx::16::ThresholdedRelu"), ge::AscendString("ai.onnx::17::ThresholdedRelu"),

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

    .ParseParamsFn(ParseParamsThresholdedRelu)

    .ParseOpToGraphFn(ParseOpToThresholdedRelu)

    .ImplyType(ImplyType::TVM);

} // namespace domi