wehub-resource-sync
64 lines
1.8 KiB
C++
64 lines
1.8 KiB
C++
//
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// DequantizeTf.cpp
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// MNNConverter
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//
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// Created by MNN on 2019/01/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "TfUtils.hpp"
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#include "tfOpConverter.hpp"
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#include "graph.pb.h"
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DECLARE_OP_CONVERTER(DequantizeTf);
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MNN::OpType DequantizeTf::opType() {
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return MNN::OpType_Dequantize;
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}
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MNN::OpParameter DequantizeTf::type() {
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return MNN::OpParameter_Dequantize;
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}
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void DequantizeTf::run(MNN::OpT *dstOp, TmpNode *srcNode) {
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auto Dequantize = new MNN::DequantizeT;
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tensorflow::AttrValue value;
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if (find_attr_value(srcNode->tfNode, "mode", value)) {
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if (value.s() == "MIN_COMBINED") {
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Dequantize->mode = MNN::QuantizeMode_MIN_COMBINED;
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} else if (value.s() == "MIN_FIRST") {
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Dequantize->mode = MNN::QuantizeMode_MIN_FIRST;
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} else if (value.s() == "SCALED") {
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Dequantize->mode = MNN::QuantizeMode_SCALED;
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}
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}
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if (find_attr_value(srcNode->tfNode, "T", value)) {
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const auto dateType = static_cast<MNN::DataType>(value.type());
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switch (dateType) {
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case MNN::DataType_DT_QUINT8:
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Dequantize->type = MNN::DataType_DT_QUINT8;
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break;
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case MNN::DataType_DT_QINT8:
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Dequantize->type = MNN::DataType_DT_QINT8;
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break;
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case MNN::DataType_DT_QUINT16:
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Dequantize->type = MNN::DataType_DT_QINT16;
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break;
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case MNN::DataType_DT_QINT16:
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Dequantize->type = MNN::DataType_DT_QUINT16;
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break;
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case MNN::DataType_DT_QINT32:
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Dequantize->type = MNN::DataType_DT_QINT32;
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break;
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default:
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DLOG(FATAL) << "unsupported type";
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}
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}
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dstOp->main.value = Dequantize;
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}
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REGISTER_CONVERTER(DequantizeTf, Dequantize);
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