Francesco Gatti
67 lines
1.8 KiB
C++
67 lines
1.8 KiB
C++
#ifndef NETWORKRT_H
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#define NETWORKRT_H
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#include "utils.h"
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#include "Network.h"
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#include "Layer.h"
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#include "NvInfer.h"
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namespace tk { namespace dnn {
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class NetworkRT {
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public:
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nvinfer1::DataType dtRT;
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nvinfer1::IBuilder *builderRT;
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nvinfer1::IRuntime *runtimeRT;
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nvinfer1::INetworkDefinition *networkRT;
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nvinfer1::ICudaEngine *engineRT;
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nvinfer1::IExecutionContext *contextRT;
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void* buffersRT[2];
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int buf_input_idx, buf_output_idx;
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dataDim_t input_dim, output_dim;
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dnnType *output;
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cudaStream_t stream;
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NetworkRT(Network *net, const char *name);
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virtual ~NetworkRT();
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/**
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Do inferece
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*/
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dnnType* infer(dataDim_t &dim, dnnType* data);
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void enqueue();
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Layer *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Conv2d *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Activation *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Dense *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Pooling *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Softmax *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Route *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Reorg *l);
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nvinfer1::ILayer* convert_layer(nvinfer1::ITensor *input, Region *l);
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bool serialize(const char *filename);
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bool deserialize(const char *filename);
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};
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template<typename T> void writeBUF(char*& buffer, const T& val)
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{
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*reinterpret_cast<T*>(buffer) = val;
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buffer += sizeof(T);
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}
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template<typename T> T readBUF(const char*& buffer)
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{
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T val = *reinterpret_cast<const T*>(buffer);
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buffer += sizeof(T);
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return val;
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}
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}}
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#endif //NETWORKRT_H
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