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2026-07-13 13:33:03 +08:00

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C++

//
// CastOnnx.cpp
// MNNConverter
//
// Created by MNN on 2019/10/28.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "onnxOpConverter.hpp"
DECLARE_OP_CONVERTER(CastOnnx);
MNN::OpType CastOnnx::opType() {
return MNN::OpType_Cast;
}
MNN::OpParameter CastOnnx::type() {
return MNN::OpParameter_CastParam;
}
void CastOnnx::run(MNN::OpT *dstOp, const onnx::NodeProto *onnxNode,
OnnxScope* scope) {
std::unique_ptr<MNN::CastParamT> castParam(new MNN::CastParamT);
// not to use srcT parameter!
castParam->srcT = MNN::DataType_MAX;
::onnx::TensorProto_DataType castTo = ::onnx::TensorProto_DataType_UNDEFINED;
const int attrSize = onnxNode->attribute_size();
for (int i = 0; i < attrSize; ++i) {
const auto &attributeProto = onnxNode->attribute(i);
const auto &attributeName = attributeProto.name();
if (attributeName == "to") {
castTo = static_cast<::onnx::TensorProto_DataType>(attributeProto.i());
}
}
castParam->dstT = onnxOpConverter::convertDataType(castTo);
if (castTo == onnx::TensorProto_DataType_FLOAT16) {
castParam->dstT = MNN::DataType_DT_FLOAT;
}
dstOp->main.value = castParam.release();
}
REGISTER_CONVERTER(CastOnnx, Cast);