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