NvInferRuntime.h

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#ifndef NV_INFER_RUNTIME_H
#define NV_INFER_RUNTIME_H
 
 
#include "NvInferRuntimeCommon.h"
 
namespace nvinfer1
{
 
class IExecutionContext; 
class ICudaEngine; 
class IPluginFactory; 
 
enum class EngineCapability : int
{
    kDEFAULT = 0,  
    kSAFE_GPU = 1, 
    kSAFE_DLA = 2, 
};
 
template <>
constexpr inline int EnumMax<EngineCapability>()
{
    return 3;
} 
 
class Weights
{
public:
    DataType type;      
    const void* values; 
    int64_t count;      
};
 
class IHostMemory
{
public:
    virtual void* data() const noexcept = 0;       
    virtual std::size_t size() const noexcept = 0; 
    virtual DataType type() const noexcept = 0;    
    virtual void destroy() noexcept = 0;           
protected:
    virtual ~IHostMemory() {}
};
 
class IPlugin
{
public:
    virtual int getNbOutputs() const TRTNOEXCEPT = 0;
 
    virtual Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) TRTNOEXCEPT = 0;
 
    virtual void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) TRTNOEXCEPT = 0;
 
    virtual int initialize() TRTNOEXCEPT = 0;
 
    virtual void terminate() TRTNOEXCEPT = 0;
 
    virtual size_t getWorkspaceSize(int maxBatchSize) const TRTNOEXCEPT = 0;
 
    virtual int enqueue(int batchSize, const void* const* inputs, void** outputs, void* workspace, cudaStream_t stream) TRTNOEXCEPT = 0;
 
    virtual size_t getSerializationSize() TRTNOEXCEPT = 0;
 
    virtual void serialize(void* buffer) TRTNOEXCEPT = 0;
 
    virtual ~IPlugin() {}
};
 
class IPluginExt : public IPlugin
{
public:
    virtual int getTensorRTVersion() const TRTNOEXCEPT
    {
        return NV_TENSORRT_VERSION;
    }
 
    virtual bool supportsFormat(DataType type, PluginFormat format) const TRTNOEXCEPT = 0;
 
    virtual void configureWithFormat(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, DataType type, PluginFormat format, int maxBatchSize) TRTNOEXCEPT = 0;
 
    virtual ~IPluginExt() {}
 
protected:
    void configure(const Dims* /*inputDims*/, int /*nbInputs*/, const Dims* /*outputDims*/, int /*nbOutputs*/, int /*maxBatchSize*/) _TENSORRT_FINAL TRTNOEXCEPT {}
};
 
enum class DimensionOperation : int
{
    kSUM = 0,       
    kPROD = 1,      
    kMAX = 2,       
    kMIN = 3,       
    kSUB = 4,       
    kEQUAL = 5,     
    kLESS = 6,      
    kFLOOR_DIV = 7, 
    kCEIL_DIV = 8   
};
 
template <>
constexpr inline int EnumMax<DimensionOperation>()
{
    return 9;
} 
 
class IDimensionExpr
{
public:
    virtual bool isConstant() const = 0;
 
    virtual int getConstantValue() const = 0;
 
protected:
    virtual ~IDimensionExpr() {}
};
 
class IExprBuilder
{
public:
    virtual const IDimensionExpr* constant(int value) = 0;
 
    virtual const IDimensionExpr* operation(DimensionOperation op, const IDimensionExpr& first, const IDimensionExpr& second) = 0;
 
protected:
    virtual ~IExprBuilder() {}
};
 
class DimsExprs
{
public:
    int nbDims;                              
    const IDimensionExpr* d[Dims::MAX_DIMS]; 
};
 
struct DynamicPluginTensorDesc
{
    PluginTensorDesc desc;
 
    Dims min;
 
    Dims max;
};
 
class IPluginV2DynamicExt : public nvinfer1::IPluginV2Ext
{
public:
    IPluginV2DynamicExt* clone() const _TENSORRT_OVERRIDE TRTNOEXCEPT = 0;
 
    virtual DimsExprs getOutputDimensions(int outputIndex, const DimsExprs* inputs, int nbInputs, IExprBuilder& exprBuilder) = 0;
 
    static constexpr int kFORMAT_COMBINATION_LIMIT = 100;
 
    virtual bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) TRTNOEXCEPT = 0;
 
    virtual void configurePlugin(const DynamicPluginTensorDesc* in, int nbInputs, const DynamicPluginTensorDesc* out, int nbOutputs) TRTNOEXCEPT = 0;
 
    virtual size_t getWorkspaceSize(const PluginTensorDesc* inputs, int nbInputs, const PluginTensorDesc* outputs, int nbOutputs) const TRTNOEXCEPT = 0;
 
    virtual int enqueue(const PluginTensorDesc* inputDesc, const PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) TRTNOEXCEPT = 0;
 
protected:
    int getTensorRTVersion() const _TENSORRT_OVERRIDE TRTNOEXCEPT
    {
        return (static_cast<int>(PluginVersion::kV2_DYNAMICEXT) << 24 | (NV_TENSORRT_VERSION & 0xFFFFFF));
    }
 
    virtual ~IPluginV2DynamicExt() {}
 
    // Rest of the methods below are obsolete inherited methods, and marked final when using a C++11 compiler.
    // Derived classes should not override them.
 
    TRT_DEPRECATED
    Dims getOutputDimensions(int /*index*/, const Dims* /*inputs*/, int /*nbInputDims*/) _TENSORRT_FINAL TRTNOEXCEPT
    {
        return Dims{-1, {}, {}};
    }
 
    TRT_DEPRECATED
    bool isOutputBroadcastAcrossBatch(int /*outputIndex*/, const bool* /*inputIsBroadcasted*/, int /*nbInputs*/) const _TENSORRT_FINAL TRTNOEXCEPT
    {
        return false;
    }
 
    TRT_DEPRECATED
    bool canBroadcastInputAcrossBatch(int /*inputIndex*/) const _TENSORRT_FINAL TRTNOEXCEPT
    {
        return true;
    }
 
    TRT_DEPRECATED
    bool supportsFormat(DataType /*type*/, PluginFormat /*format*/) const _TENSORRT_FINAL TRTNOEXCEPT { return false; }
 
    TRT_DEPRECATED
    void configurePlugin(const Dims* /*inputDims*/, int /*nbInputs*/, const Dims* /*outputDims*/,
                         int /*nbOutputs*/, const DataType* /*inputTypes*/, const DataType* /*outputTypes*/,
                         const bool* /*inputIsBroadcast*/, const bool* /*outputIsBroadcast*/, PluginFormat /*floatFormat*/, int /*maxBatchSize*/) _TENSORRT_FINAL TRTNOEXCEPT {}
 
    TRT_DEPRECATED
    size_t getWorkspaceSize(int /*maxBatchSize*/) const _TENSORRT_FINAL TRTNOEXCEPT { return 0; }
 
    TRT_DEPRECATED
    int enqueue(int /*batchSize*/, const void* const* /*inputs*/, void** /*outputs*/, void* /*workspace*/, cudaStream_t /*stream*/) _TENSORRT_FINAL TRTNOEXCEPT
    {
        return 1;
    }
};
 
class IProfiler
{
public:
    virtual void reportLayerTime(const char* layerName, float ms) TRTNOEXCEPT = 0;
 
    virtual ~IProfiler() {}
};
 
enum class WeightsRole : int
{
    kKERNEL = 0,   
    kBIAS = 1,     
    kSHIFT = 2,    
    kSCALE = 3,    
    kCONSTANT = 4, 
};
 
template <>
constexpr inline int EnumMax<WeightsRole>()
{
    return 5;
} 
 
enum class DeviceType : int
{
    kGPU, 
    kDLA, 
};
template <>
constexpr inline int EnumMax<DeviceType>()
{
    return 2;
} 
 
 
class IRuntime
{
public:
    virtual nvinfer1::ICudaEngine* deserializeCudaEngine(const void* blob, std::size_t size, IPluginFactory* pluginFactory) noexcept = 0;
 
    virtual void setDLACore(int dlaCore) noexcept = 0;
 
    virtual int getDLACore() const noexcept = 0;
 
    virtual int getNbDLACores() const noexcept = 0;
 
    virtual void destroy() noexcept = 0;
 
protected:
    virtual ~IRuntime() {}
 
public:
    virtual void setGpuAllocator(IGpuAllocator* allocator) noexcept = 0;
 
    //
    virtual void setErrorRecorder(IErrorRecorder* recorder) noexcept = 0;
 
    virtual IErrorRecorder* getErrorRecorder() const noexcept = 0;
 
    nvinfer1::ICudaEngine* deserializeCudaEngine(const void* blob, std::size_t size) noexcept
    {
        return deserializeCudaEngine(blob, size, nullptr);
    }
};
 
class IRefitter
{
public:
    virtual bool setWeights(const char* layerName, WeightsRole role, Weights weights) TRTNOEXCEPT = 0;
 
    virtual bool refitCudaEngine() TRTNOEXCEPT = 0;
 
    virtual int getMissing(int size, const char** layerNames, WeightsRole* roles) TRTNOEXCEPT = 0;
 
    virtual int getAll(int size, const char** layerNames, WeightsRole* roles) TRTNOEXCEPT = 0;
 
    virtual void destroy() TRTNOEXCEPT = 0;
 
protected:
    virtual ~IRefitter() {}
 
public:
    virtual bool setDynamicRange(const char* tensorName, float min, float max) TRTNOEXCEPT = 0;
 
    virtual float getDynamicRangeMin(const char* tensorName) const TRTNOEXCEPT = 0;
 
    virtual float getDynamicRangeMax(const char* tensorName) const TRTNOEXCEPT = 0;
 
    virtual int getTensorsWithDynamicRange(int size, const char** tensorNames) const TRTNOEXCEPT = 0;
 
    //
    virtual void setErrorRecorder(IErrorRecorder* recorder) TRTNOEXCEPT = 0;
 
    virtual IErrorRecorder* getErrorRecorder() const TRTNOEXCEPT = 0;
};
 
class IPluginFactory
{
public:
    virtual IPlugin* createPlugin(const char* layerName, const void* serialData, size_t serialLength) TRTNOEXCEPT = 0;
 
    virtual ~IPluginFactory() {}
};
 
enum class OptProfileSelector : int
{
    kMIN = 0, 
    kOPT = 1, 
    kMAX = 2  
};
 
template <>
constexpr inline int EnumMax<OptProfileSelector>()
{
    return 3;
} 
 
class IOptimizationProfile
{
public:
    virtual bool setDimensions(const char* inputName, OptProfileSelector select, Dims dims) noexcept = 0;
 
    virtual Dims getDimensions(const char* inputName, OptProfileSelector select) const noexcept = 0;
 
    virtual bool setShapeValues(
        const char* inputName, OptProfileSelector select, const int32_t* values, int nbValues) noexcept = 0;
 
    virtual int getNbShapeValues(const char* inputName) const noexcept = 0;
 
    virtual const int32_t* getShapeValues(const char* inputName, OptProfileSelector select) const noexcept = 0;
 
    virtual bool setExtraMemoryTarget(float target) noexcept = 0;
 
    virtual float getExtraMemoryTarget() const noexcept = 0;
 
    virtual bool isValid() const noexcept = 0;
 
protected:
    ~IOptimizationProfile() noexcept = default;
};
 
class ICudaEngine
{
public:
    virtual int getNbBindings() const noexcept = 0;
 
    virtual int getBindingIndex(const char* name) const noexcept = 0;
 
    virtual const char* getBindingName(int bindingIndex) const noexcept = 0;
 
    virtual bool bindingIsInput(int bindingIndex) const noexcept = 0;
 
    virtual Dims getBindingDimensions(int bindingIndex) const noexcept = 0;
 
    virtual DataType getBindingDataType(int bindingIndex) const noexcept = 0;
 
    virtual int getMaxBatchSize() const noexcept = 0;
 
    virtual int getNbLayers() const noexcept = 0;
 
    TRT_DEPRECATED
    virtual std::size_t getWorkspaceSize() const noexcept = 0;
 
    virtual IHostMemory* serialize() const noexcept = 0;
 
    virtual IExecutionContext* createExecutionContext() noexcept = 0;
 
    virtual void destroy() noexcept = 0;
 
    virtual TensorLocation getLocation(int bindingIndex) const noexcept = 0;
 
protected:
    virtual ~ICudaEngine() {}
 
public:
    virtual IExecutionContext* createExecutionContextWithoutDeviceMemory() noexcept = 0;
 
    virtual size_t getDeviceMemorySize() const noexcept = 0;
 
    virtual bool isRefittable() const noexcept = 0;
 
    virtual int getBindingBytesPerComponent(int bindingIndex) const noexcept = 0;
 
    virtual int getBindingComponentsPerElement(int bindingIndex) const noexcept = 0;
 
    virtual TensorFormat getBindingFormat(int bindingIndex) const noexcept = 0;
 
    virtual const char* getBindingFormatDesc(int bindingIndex) const noexcept = 0;
 
    virtual int getBindingVectorizedDim(int bindingIndex) const noexcept = 0;
 
    virtual const char* getName() const noexcept = 0;
 
    virtual int getNbOptimizationProfiles() const noexcept = 0;
 
    virtual Dims getProfileDimensions(int bindingIndex, int profileIndex, OptProfileSelector select) const noexcept = 0;
 
    virtual const int32_t* getProfileShapeValues(int profileIndex, int inputIndex, OptProfileSelector select) const
        noexcept
        = 0;
 
    virtual bool isShapeBinding(int bindingIndex) const noexcept = 0;
 
    virtual bool isExecutionBinding(int bindingIndex) const noexcept = 0;
 
    virtual EngineCapability getEngineCapability() const noexcept = 0;
 
    //
    virtual void setErrorRecorder(IErrorRecorder* recorder) noexcept = 0;
 
    virtual IErrorRecorder* getErrorRecorder() const noexcept = 0;
 
    virtual bool hasImplicitBatchDimension() const TRTNOEXCEPT = 0;
};
 
class IExecutionContext
{
public:
    virtual bool execute(int batchSize, void** bindings) noexcept = 0;
 
    virtual bool enqueue(int batchSize, void** bindings, cudaStream_t stream, cudaEvent_t* inputConsumed) noexcept = 0;
 
    virtual void setDebugSync(bool sync) noexcept = 0;
 
    virtual bool getDebugSync() const noexcept = 0;
 
    virtual void setProfiler(IProfiler*) noexcept = 0;
 
    virtual IProfiler* getProfiler() const noexcept = 0;
 
    virtual const ICudaEngine& getEngine() const noexcept = 0;
 
    virtual void destroy() noexcept = 0;
 
protected:
    virtual ~IExecutionContext() noexcept {}
 
public:
    virtual void setName(const char* name) noexcept = 0;
 
    virtual const char* getName() const noexcept = 0;
 
    virtual void setDeviceMemory(void* memory) noexcept = 0;
 
    virtual Dims getStrides(int bindingIndex) const noexcept = 0;
 
public:
    virtual bool setOptimizationProfile(int profileIndex) noexcept = 0;
 
    virtual int getOptimizationProfile() const noexcept = 0;
 
    virtual bool setBindingDimensions(int bindingIndex, Dims dimensions) noexcept = 0;
 
    virtual Dims getBindingDimensions(int bindingIndex) const noexcept = 0;
 
    virtual bool setInputShapeBinding(int bindingIndex, const int32_t* data) noexcept = 0;
 
    virtual bool getShapeBinding(int bindingIndex, int32_t* data) const noexcept = 0;
 
    virtual bool allInputDimensionsSpecified() const noexcept = 0;
 
    virtual bool allInputShapesSpecified() const noexcept = 0;
 
    //
    virtual void setErrorRecorder(IErrorRecorder* recorder) noexcept = 0;
 
    virtual IErrorRecorder* getErrorRecorder() const noexcept = 0;
 
    virtual bool executeV2(void** bindings) noexcept = 0;
 
    virtual bool enqueueV2(void** bindings, cudaStream_t stream, cudaEvent_t* inputConsumed) noexcept = 0;
};
}
extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(void* logger, int version);
 
extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(void* engine, void* logger, int version);
 
namespace nvinfer1
{
namespace // unnamed namespace avoids linkage surprises when linking objects built with different versions of this header.
{
inline IRuntime* createInferRuntime(ILogger& logger)
{
    return static_cast<IRuntime*>(createInferRuntime_INTERNAL(&logger, NV_TENSORRT_VERSION));
}
 
inline IRefitter* createInferRefitter(ICudaEngine& engine, ILogger& logger)
{
    return static_cast<IRefitter*>(createInferRefitter_INTERNAL(&engine, &logger, NV_TENSORRT_VERSION));
}
}
}
 
#endif // NV_INFER_RUNTIME_H