#include "NvInferVersion.h"
#include <cstddef>
#include <cstdint>
#include <cuda_runtime_api.h>

Classes
struct	nvinfer1::impl::EnumMaxImpl< DataType >
	Maximum number of elements in DataType enum. More...

class	nvinfer1::Dims32

struct	nvinfer1::impl::EnumMaxImpl< TensorFormat >
	Maximum number of elements in TensorFormat enum. More...

struct	nvinfer1::impl::EnumMaxImpl< AllocatorFlag >
	Maximum number of elements in AllocatorFlag enum. More...

class	nvinfer1::IGpuAllocator
	Application-implemented class for controlling allocation on the GPU. More...

class	nvinfer1::ILogger
	Application-implemented logging interface for the builder, refitter and runtime. More...

struct	nvinfer1::impl::EnumMaxImpl< ILogger::Severity >
	Maximum number of elements in ILogger::Severity enum. More...

struct	nvinfer1::impl::EnumMaxImpl< ErrorCode >
	Maximum number of elements in ErrorCode enum. More...

class	nvinfer1::IErrorRecorder
	Reference counted application-implemented error reporting interface for TensorRT objects. More...

struct	nvinfer1::impl::EnumMaxImpl< TensorIOMode >
	Maximum number of elements in TensorIOMode enum. More...

Namespaces
namespace	nvinfer1
	The TensorRT API version 1 namespace.

namespace	nvinfer1::impl

Macros
#define	TRT_DEPRECATED __attribute__((deprecated))

#define	TRT_DEPRECATED_ENUM

#define	TRT_DEPRECATED_API __attribute__((deprecated, visibility("default")))

#define	TENSORRTAPI

#define	TRTNOEXCEPT

#define	NV_TENSORRT_VERSION nvinfer1::kNV_TENSORRT_VERSION_IMPL

Typedefs
using	nvinfer1::char_t = char
	char_t is the type used by TensorRT to represent all valid characters. More...

using	nvinfer1::AsciiChar = char_t

using	nvinfer1::Dims = Dims32

using	nvinfer1::AllocatorFlags = uint32_t

Enumerations
enum class	nvinfer1::DataType : int32_t { nvinfer1::kFLOAT = 0 , nvinfer1::kHALF = 1 , nvinfer1::kINT8 = 2 , nvinfer1::kINT32 = 3 , nvinfer1::kBOOL = 4 , nvinfer1::kUINT8 = 5 , nvinfer1::kFP8 = 6 }
	The type of weights and tensors. More...

enum class	nvinfer1::TensorFormat : int32_t { nvinfer1::kLINEAR = 0 , nvinfer1::kCHW2 = 1 , nvinfer1::kHWC8 = 2 , nvinfer1::kCHW4 = 3 , nvinfer1::kCHW16 = 4 , nvinfer1::kCHW32 = 5 , nvinfer1::kDHWC8 = 6 , nvinfer1::kCDHW32 = 7 , nvinfer1::kHWC = 8 , nvinfer1::kDLA_LINEAR = 9 , nvinfer1::kDLA_HWC4 = 10 , nvinfer1::kHWC16 = 11 , nvinfer1::kDHWC = 12 }
	Format of the input/output tensors. More...

enum class	nvinfer1::AllocatorFlag : int32_t { nvinfer1::kRESIZABLE = 0 }

enum class	nvinfer1::ErrorCode : int32_t { nvinfer1::kSUCCESS = 0 , nvinfer1::kUNSPECIFIED_ERROR = 1 , nvinfer1::kINTERNAL_ERROR = 2 , nvinfer1::kINVALID_ARGUMENT = 3 , nvinfer1::kINVALID_CONFIG = 4 , nvinfer1::kFAILED_ALLOCATION = 5 , nvinfer1::kFAILED_INITIALIZATION = 6 , nvinfer1::kFAILED_EXECUTION = 7 , nvinfer1::kFAILED_COMPUTATION = 8 , nvinfer1::kINVALID_STATE = 9 , nvinfer1::kUNSUPPORTED_STATE = 10 }
	Error codes that can be returned by TensorRT during execution. More...

enum class	nvinfer1::TensorIOMode : int32_t { nvinfer1::kNONE = 0 , nvinfer1::kINPUT = 1 , nvinfer1::kOUTPUT = 2 }
	Definition of tensor IO Mode. More...

Functions
template<typename T >
constexpr int32_t	nvinfer1::EnumMax () noexcept
	Maximum number of elements in an enumeration type. More...

int32_t	getInferLibVersion () noexcept
	Return the library version number. More...

Detailed Description

This file contains common definitions, data structures and interfaces shared between the standard and safe runtime.

Warning: Do not directly include this file. Instead include either NvInferRuntime.h (for the standard runtime) or NvInferSafeRuntime.h (for the safety runtime).

Macro Definition Documentation

#define NV_TENSORRT_VERSION nvinfer1::kNV_TENSORRT_VERSION_IMPL

#define TENSORRTAPI

#define TRT_DEPRECATED __attribute__((deprecated))

#define TRT_DEPRECATED_API __attribute__((deprecated, visibility("default")))

#define TRT_DEPRECATED_ENUM

#define TRTNOEXCEPT

int32_t getInferLibVersion ( )

noexcept

Return the library version number.

The format is as for TENSORRT_VERSION: (TENSORRT_MAJOR * 1000) + (TENSORRT_MINOR * 100) + TENSOR_PATCH.