wehub-resource-sync
52 lines
2.1 KiB
C++
52 lines
2.1 KiB
C++
//
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// LogisticTflite.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 <stdio.h>
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#include "liteOpConverter.hpp"
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DECLARE_OP_COVERTER(LogisticTflite);
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MNN::OpType LogisticTflite::opType(int quantizedModel) {
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if (quantizedModel)
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return MNN::OpType_QuantizedLogistic;
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return MNN::OpType_Sigmoid;
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}
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MNN::OpParameter LogisticTflite::type(int quantizedModel) {
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if (quantizedModel)
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return MNN::OpParameter_QuantizedLogistic;
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return MNN::OpParameter_NONE;
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}
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void LogisticTflite::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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if (quantizedModel) {
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auto LogisticParam = new MNN::QuantizedLogisticT;
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const int inputIndex = tfliteOp->inputs[0];
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const auto& inputTensor = tfliteTensors[inputIndex];
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LogisticParam->inputQuantizedParam = std::unique_ptr<MNN::QuantizedParamT>(new MNN::QuantizedParamT);
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LogisticParam->inputQuantizedParam->zeroPoint = inputTensor->quantization->zero_point[0];
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LogisticParam->inputQuantizedParam->scale = inputTensor->quantization->scale[0];
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const int outputIndex = tfliteOp->outputs[0];
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const auto& outputTensor = tfliteTensors[outputIndex];
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LogisticParam->outputQuantizedParam = std::unique_ptr<MNN::QuantizedParamT>(new MNN::QuantizedParamT);
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LogisticParam->outputQuantizedParam->zeroPoint = outputTensor->quantization->zero_point[0];
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LogisticParam->outputQuantizedParam->scale = outputTensor->quantization->scale[0];
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dstOp->main.value = LogisticParam;
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} else {
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dstOp->main.value = nullptr;
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}
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}
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using namespace tflite;
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REGISTER_CONVERTER(LogisticTflite, BuiltinOperator_LOGISTIC);
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