* 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);
}