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Copy pathQuantizedBiasAddTf.cpp
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57 lines (47 loc) · 1.65 KB
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//
// QuantizedBiasAddTf.cpp
// MNNConverter
//
// Created by MNN on 2019/01/31.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "TfUtils.hpp"
#include "tfOpConverter.hpp"
#include "graph.pb.h"
DECLARE_OP_CONVERTER(QuantizedBiasAdd);
MNN::OpType QuantizedBiasAdd::opType() {
return MNN::OpType_QuantizedBiasAdd;
}
MNN::OpParameter QuantizedBiasAdd::type() {
return MNN::OpParameter_QuantizedBiasAdd;
}
void QuantizedBiasAdd::run(MNN::OpT *dstOp, TmpNode *srcNode, TmpGraph *tempGraph) {
auto QuantizedBiasAdd = new MNN::QuantizedBiasAddT;
tensorflow::AttrValue value;
if (find_attr_value(srcNode->tfNode, "T1", value)) {
const auto dateType = static_cast<MNN::DataType>(value.type());
switch (dateType) {
case MNN::DataType_DT_QUINT8:
QuantizedBiasAdd->inputType = MNN::DataType_DT_QUINT8;
break;
case MNN::DataType_DT_QINT8:
QuantizedBiasAdd->inputType = MNN::DataType_DT_QINT8;
break;
default:
DLOG(FATAL) << "unsupported type";
}
}
if (find_attr_value(srcNode->tfNode, "out_type", value)) {
const auto dateType = static_cast<MNN::DataType>(value.type());
switch (dateType) {
case MNN::DataType_DT_QINT32:
QuantizedBiasAdd->outputType = MNN::DataType_DT_QINT32;
break;
default:
DLOG(FATAL) << "unsupported type";
}
}
dstOp->main.value = QuantizedBiasAdd;
DCHECK(srcNode->inEdges.size() == 4) << "QuantizedBiasAdd Input ERROR";
}
REGISTER_CONVERTER(QuantizedBiasAdd, QuantizedBiasAdd);