wehub-resource-sync
60 lines
1.8 KiB
C++
60 lines
1.8 KiB
C++
//
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// PadTflite.cpp
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// MNNConverter
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//
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// Created by MNN on 2019/11/27.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <stdio.h>
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#include "liteOpConverter.hpp"
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using namespace tflite;
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DECLARE_OP_COVERTER(PadTflite);
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MNN::OpType PadTflite::opType(int quantizedModel) {
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return MNN::OpType_Padding;
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}
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MNN::OpParameter PadTflite::type(int quantizedModel) {
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return MNN::OpParameter_NONE;
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}
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void PadTflite::run(MNN::OpT* dstOp, const std::unique_ptr<tflite::OperatorT>& tfliteOp,
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const std::vector<std::unique_ptr<tflite::TensorT>>& tfliteTensors,
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const std::vector<std::unique_ptr<tflite::BufferT>>& tfliteModelBuffer,
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const std::vector<std::unique_ptr<tflite::OperatorCodeT>>& tfliteOpSet, int quantizedModel) {
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auto padparm = new MNN::PadParamT;
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switch(liteOpConverter::getOpCode(tfliteOpSet[tfliteOp->opcode_index].get())){
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case BuiltinOperator_PADV2:
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case BuiltinOperator_PAD:{
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padparm->mode = MNN::PadValueMode_CONSTANT;
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break;
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}
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case BuiltinOperator_MIRROR_PAD:{
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auto opt=tfliteOp->builtin_options.AsMirrorPadOptions();
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switch(opt->mode){
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case MirrorPadMode_REFLECT:{
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padparm->mode = MNN::PadValueMode_REFLECT;
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break;
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}
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case MirrorPadMode_SYMMETRIC:{
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padparm->mode = MNN::PadValueMode_SYMMETRIC;
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break;
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}
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default:{
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DCHECK(false) << "Unknown Pad Value Mode!";
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}
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}
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break;
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}
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default:{
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DCHECK(false) << "Unknown Pad Operator";
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}
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}
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dstOp->main.value = padparm;
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}
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REGISTER_CONVERTER(PadTflite, BuiltinOperator_PAD);
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REGISTER_CONVERTER(PadTflite, BuiltinOperator_PADV2);
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REGISTER_CONVERTER(PadTflite,BuiltinOperator_MIRROR_PAD);
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