49 lines
1.9 KiB
C
49 lines
1.9 KiB
C
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#ifndef _INFERENCE_H
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#define _INFERENCE_H
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#include "AppCommon.h"
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#define ENABLE_CUDA_PREPROCESS
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class Inference
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{
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public:
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Inference();
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~Inference();
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ICudaEngine* build_engine_onnx(Logger gLogger, unsigned int maxBatchSize, unsigned int maxWorkSpaceSize, IBuilder* builder, IBuilderConfig* config, std::string& source_onnx);
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void APIToModel(Logger gLogger, unsigned int maxBatchSize, unsigned int maxWorkSpaceSize, IHostMemory** modelStream, std::string& onnx_model_name);
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void doInference(IExecutionContext& context, cudaStream_t& stream, void **buffers, unsigned int inputIndex, float* input, int inputSize,
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unsigned int ouputIndex, float* output, int outputSize, int batchSize);
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void doInferenceV2(IExecutionContext& context, cudaStream_t& stream, void **buffers, unsigned int ouputIndex, float* output, int outputSize, int batchSize);
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void doInferenceV3(IExecutionContext& context, cudaStream_t& stream, void **buffers, unsigned int inputIndex, float* input, int inputSize,
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unsigned int ouputIndex, float* output, int outputSize, int batchSize);
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void doInferenceV4(IExecutionContext& context, cudaStream_t& stream, void **buffers, unsigned int ouputIndex, float* output, int outputSize, int batchSize);
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float* pfBuffers_[2];
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float* pfInputData_ = nullptr;
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float* pfOutputData_ = nullptr;
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uint8_t* pu8ImgHost_ = nullptr; //相关内存分配
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uint8_t* pu8ImgDevice_ = nullptr;
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unsigned int uiInputIndex_ = 0, uiOutputIndex_ = 0;
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cudaStream_t* pImagePreprocessStream_ = nullptr; //图像预处理CUDA流
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cudaStream_t* pInferenceModelStream_ = nullptr; //模型推理CUDA流
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Logger* pGLogger_ = nullptr;
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IRuntime* pRuntime_ = nullptr;
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ICudaEngine* pEngine_ = nullptr;
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IExecutionContext* pContext_ = nullptr;
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private:
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};
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#endif //END OF _INFERENCE_H
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