Man pages sections > man3 > CUDART_TYPES

Data types used by CUDA Runtime -

Data types used by CUDA Runtime(3) Doxygen Data types used by CUDA Runtime(3)

NAME

Data types used by CUDA Runtime -

Data Structures


struct cudaChannelFormatDesc
 
struct cudaDeviceProp
 
struct cudaEglFrame
 
struct cudaEglPlaneDesc
 
struct cudaExtent
 
struct cudaFuncAttributes
 
struct cudaIpcEventHandle_t
 
struct cudaIpcMemHandle_t
 
struct cudaMemcpy3DParms
 
struct cudaMemcpy3DPeerParms
 
struct cudaPitchedPtr
 
struct cudaPointerAttributes
 
struct cudaPos
 
struct cudaResourceDesc
 
struct cudaResourceViewDesc
 
struct cudaTextureDesc
 
struct surfaceReference
 
struct textureReference
 

Defines


#define CUDA_EGL_MAX_PLANES 3
 
#define CUDA_IPC_HANDLE_SIZE 64
 
#define cudaArrayCubemap 0x04
 
#define cudaArrayDefault 0x00
 
#define cudaArrayLayered 0x01
 
#define cudaArraySurfaceLoadStore 0x02
 
#define cudaArrayTextureGather 0x08
 
#define cudaCpuDeviceId ((int)-1)
 
#define cudaDeviceBlockingSync 0x04
 
#define cudaDeviceLmemResizeToMax 0x10
 
#define cudaDeviceMapHost 0x08
 
#define cudaDeviceMask 0x1f
 
#define cudaDevicePropDontCare
 
#define cudaDeviceScheduleAuto 0x00
 
#define cudaDeviceScheduleBlockingSync 0x04
 
#define cudaDeviceScheduleMask 0x07
 
#define cudaDeviceScheduleSpin 0x01
 
#define cudaDeviceScheduleYield 0x02
 
#define cudaEventBlockingSync 0x01
 
#define cudaEventDefault 0x00
 
#define cudaEventDisableTiming 0x02
 
#define cudaEventInterprocess 0x04
 
#define cudaHostAllocDefault 0x00
 
#define cudaHostAllocMapped 0x02
 
#define cudaHostAllocPortable 0x01
 
#define cudaHostAllocWriteCombined 0x04
 
#define cudaHostRegisterDefault 0x00
 
#define cudaHostRegisterIoMemory 0x04
 
#define cudaHostRegisterMapped 0x02
 
#define cudaHostRegisterPortable 0x01
 
#define cudaInvalidDeviceId ((int)-2)
 
#define cudaIpcMemLazyEnablePeerAccess 0x01
 
#define cudaMemAttachGlobal 0x01
 
#define cudaMemAttachHost 0x02
 
#define cudaMemAttachSingle 0x04
 
#define cudaOccupancyDefault 0x00
 
#define cudaOccupancyDisableCachingOverride 0x01
 
#define cudaPeerAccessDefault 0x00
 
#define cudaStreamDefault 0x00
 
#define cudaStreamLegacy ((cudaStream_t)0x1)
 
#define cudaStreamNonBlocking 0x01
 
#define cudaStreamPerThread ((cudaStream_t)0x2)
 

Typedefs


typedef struct cudaArray * cudaArray_const_t
 
typedef struct cudaArray * cudaArray_t
 
typedef struct CUeglStreamConnection_st * cudaEglStreamConnection
 
typedef enum cudaError cudaError_t
 
typedef struct CUevent_st * cudaEvent_t
 
typedef struct cudaGraphicsResource * cudaGraphicsResource_t
 
typedef struct cudaMipmappedArray * cudaMipmappedArray_const_t
 
typedef struct cudaMipmappedArray * cudaMipmappedArray_t
 
typedef enum cudaOutputMode cudaOutputMode_t
 
typedef struct CUstream_st * cudaStream_t
 
typedef unsigned long long cudaSurfaceObject_t
 
typedef unsigned long long cudaTextureObject_t
 
typedef struct CUuuid_st cudaUUID_t
 

Enumerations


enum cudaChannelFormatKind { cudaChannelFormatKindSigned = 0, cudaChannelFormatKindUnsigned = 1, cudaChannelFormatKindFloat = 2, cudaChannelFormatKindNone = 3 }
 
enum cudaComputeMode { cudaComputeModeDefault = 0, cudaComputeModeExclusive = 1, cudaComputeModeProhibited = 2, cudaComputeModeExclusiveProcess = 3 }
 
enum cudaDeviceAttr { cudaDevAttrMaxThreadsPerBlock = 1, cudaDevAttrMaxBlockDimX = 2, cudaDevAttrMaxBlockDimY = 3, cudaDevAttrMaxBlockDimZ = 4, cudaDevAttrMaxGridDimX = 5, cudaDevAttrMaxGridDimY = 6, cudaDevAttrMaxGridDimZ = 7, cudaDevAttrMaxSharedMemoryPerBlock = 8, cudaDevAttrTotalConstantMemory = 9, cudaDevAttrWarpSize = 10, cudaDevAttrMaxPitch = 11, cudaDevAttrMaxRegistersPerBlock = 12, cudaDevAttrClockRate = 13, cudaDevAttrTextureAlignment = 14, cudaDevAttrGpuOverlap = 15, cudaDevAttrMultiProcessorCount = 16, cudaDevAttrKernelExecTimeout = 17, cudaDevAttrIntegrated = 18, cudaDevAttrCanMapHostMemory = 19, cudaDevAttrComputeMode = 20, cudaDevAttrMaxTexture1DWidth = 21, cudaDevAttrMaxTexture2DWidth = 22, cudaDevAttrMaxTexture2DHeight = 23, cudaDevAttrMaxTexture3DWidth = 24, cudaDevAttrMaxTexture3DHeight = 25, cudaDevAttrMaxTexture3DDepth = 26, cudaDevAttrMaxTexture2DLayeredWidth = 27, cudaDevAttrMaxTexture2DLayeredHeight = 28, cudaDevAttrMaxTexture2DLayeredLayers = 29, cudaDevAttrSurfaceAlignment = 30, cudaDevAttrConcurrentKernels = 31, cudaDevAttrEccEnabled = 32, cudaDevAttrPciBusId = 33, cudaDevAttrPciDeviceId = 34, cudaDevAttrTccDriver = 35, cudaDevAttrMemoryClockRate = 36, cudaDevAttrGlobalMemoryBusWidth = 37, cudaDevAttrL2CacheSize = 38, cudaDevAttrMaxThreadsPerMultiProcessor = 39, cudaDevAttrAsyncEngineCount = 40, cudaDevAttrUnifiedAddressing = 41, cudaDevAttrMaxTexture1DLayeredWidth = 42, cudaDevAttrMaxTexture1DLayeredLayers = 43, cudaDevAttrMaxTexture2DGatherWidth = 45, cudaDevAttrMaxTexture2DGatherHeight = 46, cudaDevAttrMaxTexture3DWidthAlt = 47, cudaDevAttrMaxTexture3DHeightAlt = 48, cudaDevAttrMaxTexture3DDepthAlt = 49, cudaDevAttrPciDomainId = 50, cudaDevAttrTexturePitchAlignment = 51, cudaDevAttrMaxTextureCubemapWidth = 52, cudaDevAttrMaxTextureCubemapLayeredWidth = 53, cudaDevAttrMaxTextureCubemapLayeredLayers = 54, cudaDevAttrMaxSurface1DWidth = 55, cudaDevAttrMaxSurface2DWidth = 56, cudaDevAttrMaxSurface2DHeight = 57, cudaDevAttrMaxSurface3DWidth = 58, cudaDevAttrMaxSurface3DHeight = 59, cudaDevAttrMaxSurface3DDepth = 60, cudaDevAttrMaxSurface1DLayeredWidth = 61, cudaDevAttrMaxSurface1DLayeredLayers = 62, cudaDevAttrMaxSurface2DLayeredWidth = 63, cudaDevAttrMaxSurface2DLayeredHeight = 64, cudaDevAttrMaxSurface2DLayeredLayers = 65, cudaDevAttrMaxSurfaceCubemapWidth = 66, cudaDevAttrMaxSurfaceCubemapLayeredWidth = 67, cudaDevAttrMaxSurfaceCubemapLayeredLayers = 68, cudaDevAttrMaxTexture1DLinearWidth = 69, cudaDevAttrMaxTexture2DLinearWidth = 70, cudaDevAttrMaxTexture2DLinearHeight = 71, cudaDevAttrMaxTexture2DLinearPitch = 72, cudaDevAttrMaxTexture2DMipmappedWidth = 73, cudaDevAttrMaxTexture2DMipmappedHeight = 74, cudaDevAttrComputeCapabilityMajor = 75, cudaDevAttrComputeCapabilityMinor = 76, cudaDevAttrMaxTexture1DMipmappedWidth = 77, cudaDevAttrStreamPrioritiesSupported = 78, cudaDevAttrGlobalL1CacheSupported = 79, cudaDevAttrLocalL1CacheSupported = 80, cudaDevAttrMaxSharedMemoryPerMultiprocessor = 81, cudaDevAttrMaxRegistersPerMultiprocessor = 82, cudaDevAttrManagedMemory = 83, cudaDevAttrIsMultiGpuBoard = 84, cudaDevAttrMultiGpuBoardGroupID = 85, cudaDevAttrHostNativeAtomicSupported = 86, cudaDevAttrSingleToDoublePrecisionPerfRatio = 87, cudaDevAttrPageableMemoryAccess = 88, cudaDevAttrConcurrentManagedAccess = 89, cudaDevAttrComputePreemptionSupported = 90, cudaDevAttrCanUseHostPointerForRegisteredMem = 91 }
 
enum cudaDeviceP2PAttr { cudaDevP2PAttrPerformanceRank = 1, cudaDevP2PAttrAccessSupported = 2, cudaDevP2PAttrNativeAtomicSupported = 3 }
 
enum cudaEglColorFormat { cudaEglColorFormatYUV420Planar = 0, cudaEglColorFormatYUV420SemiPlanar = 1, cudaEglColorFormatYUV422Planar = 2, cudaEglColorFormatYUV422SemiPlanar = 3, cudaEglColorFormatRGB = 4, cudaEglColorFormatBGR = 5, cudaEglColorFormatARGB = 6, cudaEglColorFormatRGBA = 7, cudaEglColorFormatL = 8, cudaEglColorFormatR = 9 }
 
enum cudaEglFrameType { cudaEglFrameTypeArray = 0, cudaEglFrameTypePitch = 1 }
 
enum cudaEglResourceLocationFlags { cudaEglResourceLocationSysmem = 0x00, cudaEglResourceLocationVidmem = 0x01 }
 
enum cudaError { cudaSuccess = 0, cudaErrorMissingConfiguration = 1, cudaErrorMemoryAllocation = 2, cudaErrorInitializationError = 3, cudaErrorLaunchFailure = 4, cudaErrorPriorLaunchFailure = 5, cudaErrorLaunchTimeout = 6, cudaErrorLaunchOutOfResources = 7, cudaErrorInvalidDeviceFunction = 8, cudaErrorInvalidConfiguration = 9, cudaErrorInvalidDevice = 10, cudaErrorInvalidValue = 11, cudaErrorInvalidPitchValue = 12, cudaErrorInvalidSymbol = 13, cudaErrorMapBufferObjectFailed = 14, cudaErrorUnmapBufferObjectFailed = 15, cudaErrorInvalidHostPointer = 16, cudaErrorInvalidDevicePointer = 17, cudaErrorInvalidTexture = 18, cudaErrorInvalidTextureBinding = 19, cudaErrorInvalidChannelDescriptor = 20, cudaErrorInvalidMemcpyDirection = 21, cudaErrorAddressOfConstant = 22, cudaErrorTextureFetchFailed = 23, cudaErrorTextureNotBound = 24, cudaErrorSynchronizationError = 25, cudaErrorInvalidFilterSetting = 26, cudaErrorInvalidNormSetting = 27, cudaErrorMixedDeviceExecution = 28, cudaErrorCudartUnloading = 29, cudaErrorUnknown = 30, cudaErrorNotYetImplemented = 31, cudaErrorMemoryValueTooLarge = 32, cudaErrorInvalidResourceHandle = 33, cudaErrorNotReady = 34, cudaErrorInsufficientDriver = 35, cudaErrorSetOnActiveProcess = 36, cudaErrorInvalidSurface = 37, cudaErrorNoDevice = 38, cudaErrorECCUncorrectable = 39, cudaErrorSharedObjectSymbolNotFound = 40, cudaErrorSharedObjectInitFailed = 41, cudaErrorUnsupportedLimit = 42, cudaErrorDuplicateVariableName = 43, cudaErrorDuplicateTextureName = 44, cudaErrorDuplicateSurfaceName = 45, cudaErrorDevicesUnavailable = 46, cudaErrorInvalidKernelImage = 47, cudaErrorNoKernelImageForDevice = 48, cudaErrorIncompatibleDriverContext = 49, cudaErrorPeerAccessAlreadyEnabled = 50, cudaErrorPeerAccessNotEnabled = 51, cudaErrorDeviceAlreadyInUse = 54, cudaErrorProfilerDisabled = 55, cudaErrorProfilerNotInitialized = 56, cudaErrorProfilerAlreadyStarted = 57, cudaErrorProfilerAlreadyStopped = 58, cudaErrorAssert = 59, cudaErrorTooManyPeers = 60, cudaErrorHostMemoryAlreadyRegistered = 61, cudaErrorHostMemoryNotRegistered = 62, cudaErrorOperatingSystem = 63, cudaErrorPeerAccessUnsupported = 64, cudaErrorLaunchMaxDepthExceeded = 65, cudaErrorLaunchFileScopedTex = 66, cudaErrorLaunchFileScopedSurf = 67, cudaErrorSyncDepthExceeded = 68, cudaErrorLaunchPendingCountExceeded = 69, cudaErrorNotPermitted = 70, cudaErrorNotSupported = 71, cudaErrorHardwareStackError = 72, cudaErrorIllegalInstruction = 73, cudaErrorMisalignedAddress = 74, cudaErrorInvalidAddressSpace = 75, cudaErrorInvalidPc = 76, cudaErrorIllegalAddress = 77, cudaErrorInvalidPtx = 78, cudaErrorInvalidGraphicsContext = 79, cudaErrorNvlinkUncorrectable = 80, cudaErrorStartupFailure = 0x7f, cudaErrorApiFailureBase = 10000 }
 
enum cudaFuncCache { cudaFuncCachePreferNone = 0, cudaFuncCachePreferShared = 1, cudaFuncCachePreferL1 = 2, cudaFuncCachePreferEqual = 3 }
 
enum cudaGraphicsCubeFace { cudaGraphicsCubeFacePositiveX = 0x00, cudaGraphicsCubeFaceNegativeX = 0x01, cudaGraphicsCubeFacePositiveY = 0x02, cudaGraphicsCubeFaceNegativeY = 0x03, cudaGraphicsCubeFacePositiveZ = 0x04, cudaGraphicsCubeFaceNegativeZ = 0x05 }
 
enum cudaGraphicsMapFlags { cudaGraphicsMapFlagsNone = 0, cudaGraphicsMapFlagsReadOnly = 1, cudaGraphicsMapFlagsWriteDiscard = 2 }
 
enum cudaGraphicsRegisterFlags { cudaGraphicsRegisterFlagsNone = 0, cudaGraphicsRegisterFlagsReadOnly = 1, cudaGraphicsRegisterFlagsWriteDiscard = 2, cudaGraphicsRegisterFlagsSurfaceLoadStore = 4, cudaGraphicsRegisterFlagsTextureGather = 8 }
 
enum cudaLimit { cudaLimitStackSize = 0x00, cudaLimitPrintfFifoSize = 0x01, cudaLimitMallocHeapSize = 0x02, cudaLimitDevRuntimeSyncDepth = 0x03, cudaLimitDevRuntimePendingLaunchCount = 0x04 }
 
enum cudaMemcpyKind { cudaMemcpyHostToHost = 0, cudaMemcpyHostToDevice = 1, cudaMemcpyDeviceToHost = 2, cudaMemcpyDeviceToDevice = 3, cudaMemcpyDefault = 4 }
 
enum cudaMemoryAdvise { cudaMemAdviseSetReadMostly = 1, cudaMemAdviseUnsetReadMostly = 2, cudaMemAdviseSetPreferredLocation = 3, cudaMemAdviseUnsetPreferredLocation = 4, cudaMemAdviseSetAccessedBy = 5, cudaMemAdviseUnsetAccessedBy = 6 }
 
enum cudaMemoryType { cudaMemoryTypeHost = 1, cudaMemoryTypeDevice = 2 }
 
enum cudaMemRangeAttribute { cudaMemRangeAttributeReadMostly = 1, cudaMemRangeAttributePreferredLocation = 2, cudaMemRangeAttributeAccessedBy = 3, cudaMemRangeAttributeLastPrefetchLocation = 4 }
 
enum cudaOutputMode { cudaKeyValuePair = 0x00, cudaCSV = 0x01 }
 
enum cudaResourceType { cudaResourceTypeArray = 0x00, cudaResourceTypeMipmappedArray = 0x01, cudaResourceTypeLinear = 0x02, cudaResourceTypePitch2D = 0x03 }
 
enum cudaResourceViewFormat { cudaResViewFormatNone = 0x00, cudaResViewFormatUnsignedChar1 = 0x01, cudaResViewFormatUnsignedChar2 = 0x02, cudaResViewFormatUnsignedChar4 = 0x03, cudaResViewFormatSignedChar1 = 0x04, cudaResViewFormatSignedChar2 = 0x05, cudaResViewFormatSignedChar4 = 0x06, cudaResViewFormatUnsignedShort1 = 0x07, cudaResViewFormatUnsignedShort2 = 0x08, cudaResViewFormatUnsignedShort4 = 0x09, cudaResViewFormatSignedShort1 = 0x0a, cudaResViewFormatSignedShort2 = 0x0b, cudaResViewFormatSignedShort4 = 0x0c, cudaResViewFormatUnsignedInt1 = 0x0d, cudaResViewFormatUnsignedInt2 = 0x0e, cudaResViewFormatUnsignedInt4 = 0x0f, cudaResViewFormatSignedInt1 = 0x10, cudaResViewFormatSignedInt2 = 0x11, cudaResViewFormatSignedInt4 = 0x12, cudaResViewFormatHalf1 = 0x13, cudaResViewFormatHalf2 = 0x14, cudaResViewFormatHalf4 = 0x15, cudaResViewFormatFloat1 = 0x16, cudaResViewFormatFloat2 = 0x17, cudaResViewFormatFloat4 = 0x18, cudaResViewFormatUnsignedBlockCompressed1 = 0x19, cudaResViewFormatUnsignedBlockCompressed2 = 0x1a, cudaResViewFormatUnsignedBlockCompressed3 = 0x1b, cudaResViewFormatUnsignedBlockCompressed4 = 0x1c, cudaResViewFormatSignedBlockCompressed4 = 0x1d, cudaResViewFormatUnsignedBlockCompressed5 = 0x1e, cudaResViewFormatSignedBlockCompressed5 = 0x1f, cudaResViewFormatUnsignedBlockCompressed6H = 0x20, cudaResViewFormatSignedBlockCompressed6H = 0x21, cudaResViewFormatUnsignedBlockCompressed7 = 0x22 }
 
enum cudaSharedMemConfig
 
enum cudaSurfaceBoundaryMode { cudaBoundaryModeZero = 0, cudaBoundaryModeClamp = 1, cudaBoundaryModeTrap = 2 }
 
enum cudaSurfaceFormatMode { cudaFormatModeForced = 0, cudaFormatModeAuto = 1 }
 
enum cudaTextureAddressMode { cudaAddressModeWrap = 0, cudaAddressModeClamp = 1, cudaAddressModeMirror = 2, cudaAddressModeBorder = 3 }
 
enum cudaTextureFilterMode { cudaFilterModePoint = 0, cudaFilterModeLinear = 1 }
 
enum cudaTextureReadMode { cudaReadModeElementType = 0, cudaReadModeNormalizedFloat = 1 }
 

Define Documentation

#define CUDA_EGL_MAX_PLANES 3

Maximum number of planes per frame

#define CUDA_IPC_HANDLE_SIZE 64

CUDA IPC Handle Size

#define cudaArrayCubemap 0x04

Must be set in cudaMalloc3DArray to create a cubemap CUDA array

#define cudaArrayDefault 0x00

Default CUDA array allocation flag

#define cudaArrayLayered 0x01

Must be set in cudaMalloc3DArray to create a layered CUDA array

#define cudaArraySurfaceLoadStore 0x02

Must be set in cudaMallocArray or cudaMalloc3DArray in order to bind surfaces to the CUDA array

#define cudaArrayTextureGather 0x08

Must be set in cudaMallocArray or cudaMalloc3DArray in order to perform texture gather operations on the CUDA array

#define cudaCpuDeviceId ((int)-1)

Device id that represents the CPU

#define cudaDeviceBlockingSync 0x04

Device flag - Use blocking synchronization
Deprecated
This flag was deprecated as of CUDA 4.0 and replaced with cudaDeviceScheduleBlockingSync.

#define cudaDeviceLmemResizeToMax 0x10

Device flag - Keep local memory allocation after launch

#define cudaDeviceMapHost 0x08

Device flag - Support mapped pinned allocations

#define cudaDeviceMask 0x1f

Device flags mask

#define cudaDevicePropDontCare

Empty device properties

#define cudaDeviceScheduleAuto 0x00

Device flag - Automatic scheduling

#define cudaDeviceScheduleBlockingSync 0x04

Device flag - Use blocking synchronization

#define cudaDeviceScheduleMask 0x07

Device schedule flags mask

#define cudaDeviceScheduleSpin 0x01

Device flag - Spin default scheduling

#define cudaDeviceScheduleYield 0x02

Device flag - Yield default scheduling

#define cudaEventBlockingSync 0x01

Event uses blocking synchronization

#define cudaEventDefault 0x00

Default event flag

#define cudaEventDisableTiming 0x02

Event will not record timing data

#define cudaEventInterprocess 0x04

Event is suitable for interprocess use. cudaEventDisableTiming must be set

#define cudaHostAllocDefault 0x00

Default page-locked allocation flag

#define cudaHostAllocMapped 0x02

Map allocation into device space

#define cudaHostAllocPortable 0x01

Pinned memory accessible by all CUDA contexts

#define cudaHostAllocWriteCombined 0x04

Write-combined memory

#define cudaHostRegisterDefault 0x00

Default host memory registration flag

#define cudaHostRegisterIoMemory 0x04

Memory-mapped I/O space

#define cudaHostRegisterMapped 0x02

Map registered memory into device space

#define cudaHostRegisterPortable 0x01

Pinned memory accessible by all CUDA contexts

#define cudaInvalidDeviceId ((int)-2)

Device id that represents an invalid device

#define cudaIpcMemLazyEnablePeerAccess 0x01

Automatically enable peer access between remote devices as needed

#define cudaMemAttachGlobal 0x01

Memory can be accessed by any stream on any device

#define cudaMemAttachHost 0x02

Memory cannot be accessed by any stream on any device

#define cudaMemAttachSingle 0x04

Memory can only be accessed by a single stream on the associated device

#define cudaOccupancyDefault 0x00

Default behavior

#define cudaOccupancyDisableCachingOverride 0x01

Assume global caching is enabled and cannot be automatically turned off

#define cudaPeerAccessDefault 0x00

Default peer addressing enable flag

#define cudaStreamDefault 0x00

Default stream flag

#define cudaStreamLegacy (( cudaStream_t)0x1)

Legacy stream handle
Stream handle that can be passed as a cudaStream_t to use an implicit stream with legacy synchronization behavior.
See details of the .

#define cudaStreamNonBlocking 0x01

Stream does not synchronize with stream 0 (the NULL stream)

#define cudaStreamPerThread (( cudaStream_t)0x2)

Per-thread stream handle
Stream handle that can be passed as a cudaStream_t to use an implicit stream with per-thread synchronization behavior.
See details of the .

Typedef Documentation

typedef struct cudaArray* cudaArray_const_t

CUDA array (as source copy argument)

typedef struct cudaArray* cudaArray_t

CUDA array

typedef struct CUeglStreamConnection_st* cudaEglStreamConnection

CUDA EGLSream Connection

typedef enum cudaError cudaError_t

CUDA Error types

typedef struct CUevent_st* cudaEvent_t

CUDA event types

typedef struct cudaGraphicsResource* cudaGraphicsResource_t

CUDA graphics resource types

typedef struct cudaMipmappedArray* cudaMipmappedArray_const_t

CUDA mipmapped array (as source argument)

typedef struct cudaMipmappedArray* cudaMipmappedArray_t

CUDA mipmapped array

typedef enum cudaOutputMode cudaOutputMode_t

CUDA output file modes

typedef struct CUstream_st* cudaStream_t

CUDA stream

typedef unsigned long long cudaSurfaceObject_t

An opaque value that represents a CUDA Surface object

typedef unsigned long long cudaTextureObject_t

An opaque value that represents a CUDA texture object

typedef struct CUuuid_st cudaUUID_t

CUDA UUID types

Enumeration Type Documentation

enum cudaChannelFormatKind

Channel format kind
Enumerator:
cudaChannelFormatKindSigned
Signed channel format
cudaChannelFormatKindUnsigned
Unsigned channel format
cudaChannelFormatKindFloat
Float channel format
cudaChannelFormatKindNone
No channel format

enum cudaComputeMode

CUDA device compute modes
Enumerator:
cudaComputeModeDefault
Default compute mode (Multiple threads can use cudaSetDevice() with this device)
cudaComputeModeExclusive
Compute-exclusive-thread mode (Only one thread in one process will be able to use cudaSetDevice() with this device)
cudaComputeModeProhibited
Compute-prohibited mode (No threads can use cudaSetDevice() with this device)
cudaComputeModeExclusiveProcess
Compute-exclusive-process mode (Many threads in one process will be able to use cudaSetDevice() with this device)

enum cudaDeviceAttr

CUDA device attributes
Enumerator:
cudaDevAttrMaxThreadsPerBlock
Maximum number of threads per block
cudaDevAttrMaxBlockDimX
Maximum block dimension X
cudaDevAttrMaxBlockDimY
Maximum block dimension Y
cudaDevAttrMaxBlockDimZ
Maximum block dimension Z
cudaDevAttrMaxGridDimX
Maximum grid dimension X
cudaDevAttrMaxGridDimY
Maximum grid dimension Y
cudaDevAttrMaxGridDimZ
Maximum grid dimension Z
cudaDevAttrMaxSharedMemoryPerBlock
Maximum shared memory available per block in bytes
cudaDevAttrTotalConstantMemory
Memory available on device for __constant__ variables in a CUDA C kernel in bytes
cudaDevAttrWarpSize
Warp size in threads
cudaDevAttrMaxPitch
Maximum pitch in bytes allowed by memory copies
cudaDevAttrMaxRegistersPerBlock
Maximum number of 32-bit registers available per block
cudaDevAttrClockRate
Peak clock frequency in kilohertz
cudaDevAttrTextureAlignment
Alignment requirement for textures
cudaDevAttrGpuOverlap
Device can possibly copy memory and execute a kernel concurrently
cudaDevAttrMultiProcessorCount
Number of multiprocessors on device
cudaDevAttrKernelExecTimeout
Specifies whether there is a run time limit on kernels
cudaDevAttrIntegrated
Device is integrated with host memory
cudaDevAttrCanMapHostMemory
Device can map host memory into CUDA address space
cudaDevAttrComputeMode
Compute mode (See cudaComputeMode for details)
cudaDevAttrMaxTexture1DWidth
Maximum 1D texture width
cudaDevAttrMaxTexture2DWidth
Maximum 2D texture width
cudaDevAttrMaxTexture2DHeight
Maximum 2D texture height
cudaDevAttrMaxTexture3DWidth
Maximum 3D texture width
cudaDevAttrMaxTexture3DHeight
Maximum 3D texture height
cudaDevAttrMaxTexture3DDepth
Maximum 3D texture depth
cudaDevAttrMaxTexture2DLayeredWidth
Maximum 2D layered texture width
cudaDevAttrMaxTexture2DLayeredHeight
Maximum 2D layered texture height
cudaDevAttrMaxTexture2DLayeredLayers
Maximum layers in a 2D layered texture
cudaDevAttrSurfaceAlignment
Alignment requirement for surfaces
cudaDevAttrConcurrentKernels
Device can possibly execute multiple kernels concurrently
cudaDevAttrEccEnabled
Device has ECC support enabled
cudaDevAttrPciBusId
PCI bus ID of the device
cudaDevAttrPciDeviceId
PCI device ID of the device
cudaDevAttrTccDriver
Device is using TCC driver model
cudaDevAttrMemoryClockRate
Peak memory clock frequency in kilohertz
cudaDevAttrGlobalMemoryBusWidth
Global memory bus width in bits
cudaDevAttrL2CacheSize
Size of L2 cache in bytes
cudaDevAttrMaxThreadsPerMultiProcessor
Maximum resident threads per multiprocessor
cudaDevAttrAsyncEngineCount
Number of asynchronous engines
cudaDevAttrUnifiedAddressing
Device shares a unified address space with the host
cudaDevAttrMaxTexture1DLayeredWidth
Maximum 1D layered texture width
cudaDevAttrMaxTexture1DLayeredLayers
Maximum layers in a 1D layered texture
cudaDevAttrMaxTexture2DGatherWidth
Maximum 2D texture width if cudaArrayTextureGather is set
cudaDevAttrMaxTexture2DGatherHeight
Maximum 2D texture height if cudaArrayTextureGather is set
cudaDevAttrMaxTexture3DWidthAlt
Alternate maximum 3D texture width
cudaDevAttrMaxTexture3DHeightAlt
Alternate maximum 3D texture height
cudaDevAttrMaxTexture3DDepthAlt
Alternate maximum 3D texture depth
cudaDevAttrPciDomainId
PCI domain ID of the device
cudaDevAttrTexturePitchAlignment
Pitch alignment requirement for textures
cudaDevAttrMaxTextureCubemapWidth
Maximum cubemap texture width/height
cudaDevAttrMaxTextureCubemapLayeredWidth
Maximum cubemap layered texture width/height
cudaDevAttrMaxTextureCubemapLayeredLayers
Maximum layers in a cubemap layered texture
cudaDevAttrMaxSurface1DWidth
Maximum 1D surface width
cudaDevAttrMaxSurface2DWidth
Maximum 2D surface width
cudaDevAttrMaxSurface2DHeight
Maximum 2D surface height
cudaDevAttrMaxSurface3DWidth
Maximum 3D surface width
cudaDevAttrMaxSurface3DHeight
Maximum 3D surface height
cudaDevAttrMaxSurface3DDepth
Maximum 3D surface depth
cudaDevAttrMaxSurface1DLayeredWidth
Maximum 1D layered surface width
cudaDevAttrMaxSurface1DLayeredLayers
Maximum layers in a 1D layered surface
cudaDevAttrMaxSurface2DLayeredWidth
Maximum 2D layered surface width
cudaDevAttrMaxSurface2DLayeredHeight
Maximum 2D layered surface height
cudaDevAttrMaxSurface2DLayeredLayers
Maximum layers in a 2D layered surface
cudaDevAttrMaxSurfaceCubemapWidth
Maximum cubemap surface width
cudaDevAttrMaxSurfaceCubemapLayeredWidth
Maximum cubemap layered surface width
cudaDevAttrMaxSurfaceCubemapLayeredLayers
Maximum layers in a cubemap layered surface
cudaDevAttrMaxTexture1DLinearWidth
Maximum 1D linear texture width
cudaDevAttrMaxTexture2DLinearWidth
Maximum 2D linear texture width
cudaDevAttrMaxTexture2DLinearHeight
Maximum 2D linear texture height
cudaDevAttrMaxTexture2DLinearPitch
Maximum 2D linear texture pitch in bytes
cudaDevAttrMaxTexture2DMipmappedWidth
Maximum mipmapped 2D texture width
cudaDevAttrMaxTexture2DMipmappedHeight
Maximum mipmapped 2D texture height
cudaDevAttrComputeCapabilityMajor
Major compute capability version number
cudaDevAttrComputeCapabilityMinor
Minor compute capability version number
cudaDevAttrMaxTexture1DMipmappedWidth
Maximum mipmapped 1D texture width
cudaDevAttrStreamPrioritiesSupported
Device supports stream priorities
cudaDevAttrGlobalL1CacheSupported
Device supports caching globals in L1
cudaDevAttrLocalL1CacheSupported
Device supports caching locals in L1
cudaDevAttrMaxSharedMemoryPerMultiprocessor
Maximum shared memory available per multiprocessor in bytes
cudaDevAttrMaxRegistersPerMultiprocessor
Maximum number of 32-bit registers available per multiprocessor
cudaDevAttrManagedMemory
Device can allocate managed memory on this system
cudaDevAttrIsMultiGpuBoard
Device is on a multi-GPU board
cudaDevAttrMultiGpuBoardGroupID
Unique identifier for a group of devices on the same multi-GPU board
cudaDevAttrHostNativeAtomicSupported
Link between the device and the host supports native atomic operations
cudaDevAttrSingleToDoublePrecisionPerfRatio
Ratio of single precision performance (in floating-point operations per second) to double precision performance
cudaDevAttrPageableMemoryAccess
Device supports coherently accessing pageable memory without calling cudaHostRegister on it
cudaDevAttrConcurrentManagedAccess
Device can coherently access managed memory concurrently with the CPU
cudaDevAttrComputePreemptionSupported
Device supports Compute Preemption
cudaDevAttrCanUseHostPointerForRegisteredMem
Device can access host registered memory at the same virtual address as the CPU

enum cudaDeviceP2PAttr

CUDA device P2P attributes
Enumerator:
cudaDevP2PAttrPerformanceRank
A relative value indicating the performance of the link between two devices
cudaDevP2PAttrAccessSupported
Peer access is enabled
cudaDevP2PAttrNativeAtomicSupported
Native atomic operation over the link supported

enum cudaEglColorFormat

CUDA EGL Color Format - The different planar and multiplanar formats currently supported for CUDA_EGL interops.
Enumerator:
cudaEglColorFormatYUV420Planar
Y, U, V in three surfaces, each in a separate surface, U/V width = 1/2 Y width, U/V height = 1/2 Y height.
cudaEglColorFormatYUV420SemiPlanar
Y, UV in two surfaces (UV as one surface), width, height ratio same as YUV420Planar.
cudaEglColorFormatYUV422Planar
Y, U, V each in a separate surface, U/V width = 1/2 Y width, U/V height = Y height.
cudaEglColorFormatYUV422SemiPlanar
Y, UV in two surfaces, width, height ratio same as YUV422Planar.
cudaEglColorFormatRGB
R/G/B three channels in one surface with RGB byte ordering.
cudaEglColorFormatBGR
R/G/B three channels in one surface with BGR byte ordering.
cudaEglColorFormatARGB
R/G/B/A four channels in one surface with ARGB byte ordering.
cudaEglColorFormatRGBA
R/G/B/A four channels in one surface with RGBA byte ordering.
cudaEglColorFormatL
single luminance channel in one surface.
cudaEglColorFormatR
single color channel in one surface.

enum cudaEglFrameType

CUDA EglFrame type - array or pointer
Enumerator:
cudaEglFrameTypeArray
Frame type CUDA array
cudaEglFrameTypePitch
Frame type CUDA pointer

enum cudaEglResourceLocationFlags

Resource location flags- sysmem or vidmem
For CUDA context on iGPU, since video and system memory are equivalent - these flags will not have an effect on the execution.
For CUDA context on dGPU, applications can use the flag cudaEglResourceLocationFlags to give a hint about the desired location.
cudaEglResourceLocationSysmem - the frame data is made resident on the system memory to be accessed by CUDA.
cudaEglResourceLocationVidmem - the frame data is made resident on the dedicated video memory to be accessed by CUDA.
There may be an additional latency due to new allocation and data migration, if the frame is produced on a different memory.
Enumerator:
cudaEglResourceLocationSysmem
Resource location sysmem
cudaEglResourceLocationVidmem
Resource location vidmem

enum cudaError

CUDA error types
Enumerator:
cudaSuccess
The API call returned with no errors. In the case of query calls, this can also mean that the operation being queried is complete (see cudaEventQuery() and cudaStreamQuery()).
cudaErrorMissingConfiguration
The device function being invoked (usually via cudaLaunchKernel()) was not previously configured via the cudaConfigureCall() function.
cudaErrorMemoryAllocation
The API call failed because it was unable to allocate enough memory to perform the requested operation.
cudaErrorInitializationError
The API call failed because the CUDA driver and runtime could not be initialized.
cudaErrorLaunchFailure
An exception occurred on the device while executing a kernel. Common causes include dereferencing an invalid device pointer and accessing out of bounds shared memory. The device cannot be used until cudaThreadExit() is called. All existing device memory allocations are invalid and must be reconstructed if the program is to continue using CUDA.
cudaErrorPriorLaunchFailure
This indicated that a previous kernel launch failed. This was previously used for device emulation of kernel launches.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorLaunchTimeout
This indicates that the device kernel took too long to execute. This can only occur if timeouts are enabled - see the device property kernelExecTimeoutEnabled for more information. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorLaunchOutOfResources
This indicates that a launch did not occur because it did not have appropriate resources. Although this error is similar to cudaErrorInvalidConfiguration, this error usually indicates that the user has attempted to pass too many arguments to the device kernel, or the kernel launch specifies too many threads for the kernel's register count.
cudaErrorInvalidDeviceFunction
The requested device function does not exist or is not compiled for the proper device architecture.
cudaErrorInvalidConfiguration
This indicates that a kernel launch is requesting resources that can never be satisfied by the current device. Requesting more shared memory per block than the device supports will trigger this error, as will requesting too many threads or blocks. See cudaDeviceProp for more device limitations.
cudaErrorInvalidDevice
This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.
cudaErrorInvalidValue
This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values.
cudaErrorInvalidPitchValue
This indicates that one or more of the pitch-related parameters passed to the API call is not within the acceptable range for pitch.
cudaErrorInvalidSymbol
This indicates that the symbol name/identifier passed to the API call is not a valid name or identifier.
cudaErrorMapBufferObjectFailed
This indicates that the buffer object could not be mapped.
cudaErrorUnmapBufferObjectFailed
This indicates that the buffer object could not be unmapped.
cudaErrorInvalidHostPointer
This indicates that at least one host pointer passed to the API call is not a valid host pointer.
cudaErrorInvalidDevicePointer
This indicates that at least one device pointer passed to the API call is not a valid device pointer.
cudaErrorInvalidTexture
This indicates that the texture passed to the API call is not a valid texture.
cudaErrorInvalidTextureBinding
This indicates that the texture binding is not valid. This occurs if you call cudaGetTextureAlignmentOffset() with an unbound texture.
cudaErrorInvalidChannelDescriptor
This indicates that the channel descriptor passed to the API call is not valid. This occurs if the format is not one of the formats specified by cudaChannelFormatKind, or if one of the dimensions is invalid.
cudaErrorInvalidMemcpyDirection
This indicates that the direction of the memcpy passed to the API call is not one of the types specified by cudaMemcpyKind.
cudaErrorAddressOfConstant
This indicated that the user has taken the address of a constant variable, which was forbidden up until the CUDA 3.1 release.
Deprecated
This error return is deprecated as of CUDA 3.1. Variables in constant memory may now have their address taken by the runtime via cudaGetSymbolAddress().
cudaErrorTextureFetchFailed
This indicated that a texture fetch was not able to be performed. This was previously used for device emulation of texture operations.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorTextureNotBound
This indicated that a texture was not bound for access. This was previously used for device emulation of texture operations.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorSynchronizationError
This indicated that a synchronization operation had failed. This was previously used for some device emulation functions.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorInvalidFilterSetting
This indicates that a non-float texture was being accessed with linear filtering. This is not supported by CUDA.
cudaErrorInvalidNormSetting
This indicates that an attempt was made to read a non-float texture as a normalized float. This is not supported by CUDA.
cudaErrorMixedDeviceExecution
Mixing of device and device emulation code was not allowed.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorCudartUnloading
This indicates that a CUDA Runtime API call cannot be executed because it is being called during process shut down, at a point in time after CUDA driver has been unloaded.
cudaErrorUnknown
This indicates that an unknown internal error has occurred.
cudaErrorNotYetImplemented
This indicates that the API call is not yet implemented. Production releases of CUDA will never return this error.
Deprecated
This error return is deprecated as of CUDA 4.1.
cudaErrorMemoryValueTooLarge
This indicated that an emulated device pointer exceeded the 32-bit address range.
Deprecated
This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.
cudaErrorInvalidResourceHandle
This indicates that a resource handle passed to the API call was not valid. Resource handles are opaque types like cudaStream_t and cudaEvent_t.
cudaErrorNotReady
This indicates that asynchronous operations issued previously have not completed yet. This result is not actually an error, but must be indicated differently than cudaSuccess (which indicates completion). Calls that may return this value include cudaEventQuery() and cudaStreamQuery().
cudaErrorInsufficientDriver
This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration. Users should install an updated NVIDIA display driver to allow the application to run.
cudaErrorSetOnActiveProcess
This indicates that the user has called cudaSetValidDevices(), cudaSetDeviceFlags(), cudaD3D9SetDirect3DDevice(), cudaD3D10SetDirect3DDevice, cudaD3D11SetDirect3DDevice(), or cudaVDPAUSetVDPAUDevice() after initializing the CUDA runtime by calling non-device management operations (allocating memory and launching kernels are examples of non-device management operations). This error can also be returned if using runtime/driver interoperability and there is an existing CUcontext active on the host thread.
cudaErrorInvalidSurface
This indicates that the surface passed to the API call is not a valid surface.
cudaErrorNoDevice
This indicates that no CUDA-capable devices were detected by the installed CUDA driver.
cudaErrorECCUncorrectable
This indicates that an uncorrectable ECC error was detected during execution.
cudaErrorSharedObjectSymbolNotFound
This indicates that a link to a shared object failed to resolve.
cudaErrorSharedObjectInitFailed
This indicates that initialization of a shared object failed.
cudaErrorUnsupportedLimit
This indicates that the cudaLimit passed to the API call is not supported by the active device.
cudaErrorDuplicateVariableName
This indicates that multiple global or constant variables (across separate CUDA source files in the application) share the same string name.
cudaErrorDuplicateTextureName
This indicates that multiple textures (across separate CUDA source files in the application) share the same string name.
cudaErrorDuplicateSurfaceName
This indicates that multiple surfaces (across separate CUDA source files in the application) share the same string name.
cudaErrorDevicesUnavailable
This indicates that all CUDA devices are busy or unavailable at the current time. Devices are often busy/unavailable due to use of cudaComputeModeExclusive, cudaComputeModeProhibited or when long running CUDA kernels have filled up the GPU and are blocking new work from starting. They can also be unavailable due to memory constraints on a device that already has active CUDA work being performed.
cudaErrorInvalidKernelImage
This indicates that the device kernel image is invalid.
cudaErrorNoKernelImageForDevice
This indicates that there is no kernel image available that is suitable for the device. This can occur when a user specifies code generation options for a particular CUDA source file that do not include the corresponding device configuration.
cudaErrorIncompatibleDriverContext
This indicates that the current context is not compatible with this the CUDA Runtime. This can only occur if you are using CUDA Runtime/Driver interoperability and have created an existing Driver context using the driver API. The Driver context may be incompatible either because the Driver context was created using an older version of the API, because the Runtime API call expects a primary driver context and the Driver context is not primary, or because the Driver context has been destroyed. Please see Interactions with the CUDA Driver API' for more information.
cudaErrorPeerAccessAlreadyEnabled
This error indicates that a call to cudaDeviceEnablePeerAccess() is trying to re-enable peer addressing on from a context which has already had peer addressing enabled.
cudaErrorPeerAccessNotEnabled
This error indicates that cudaDeviceDisablePeerAccess() is trying to disable peer addressing which has not been enabled yet via cudaDeviceEnablePeerAccess().
cudaErrorDeviceAlreadyInUse
This indicates that a call tried to access an exclusive-thread device that is already in use by a different thread.
cudaErrorProfilerDisabled
This indicates profiler is not initialized for this run. This can happen when the application is running with external profiling tools like visual profiler.
cudaErrorProfilerNotInitialized
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to attempt to enable/disable the profiling via cudaProfilerStart or cudaProfilerStop without initialization.
cudaErrorProfilerAlreadyStarted
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call cudaProfilerStart() when profiling is already enabled.
cudaErrorProfilerAlreadyStopped
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call cudaProfilerStop() when profiling is already disabled.
cudaErrorAssert
An assert triggered in device code during kernel execution. The device cannot be used again until cudaThreadExit() is called. All existing allocations are invalid and must be reconstructed if the program is to continue using CUDA.
cudaErrorTooManyPeers
This error indicates that the hardware resources required to enable peer access have been exhausted for one or more of the devices passed to cudaEnablePeerAccess().
cudaErrorHostMemoryAlreadyRegistered
This error indicates that the memory range passed to cudaHostRegister() has already been registered.
cudaErrorHostMemoryNotRegistered
This error indicates that the pointer passed to cudaHostUnregister() does not correspond to any currently registered memory region.
cudaErrorOperatingSystem
This error indicates that an OS call failed.
cudaErrorPeerAccessUnsupported
This error indicates that P2P access is not supported across the given devices.
cudaErrorLaunchMaxDepthExceeded
This error indicates that a device runtime grid launch did not occur because the depth of the child grid would exceed the maximum supported number of nested grid launches.
cudaErrorLaunchFileScopedTex
This error indicates that a grid launch did not occur because the kernel uses file-scoped textures which are unsupported by the device runtime. Kernels launched via the device runtime only support textures created with the Texture Object API's.
cudaErrorLaunchFileScopedSurf
This error indicates that a grid launch did not occur because the kernel uses file-scoped surfaces which are unsupported by the device runtime. Kernels launched via the device runtime only support surfaces created with the Surface Object API's.
cudaErrorSyncDepthExceeded
This error indicates that a call to cudaDeviceSynchronize made from the device runtime failed because the call was made at grid depth greater than than either the default (2 levels of grids) or user specified device limit cudaLimitDevRuntimeSyncDepth. To be able to synchronize on launched grids at a greater depth successfully, the maximum nested depth at which cudaDeviceSynchronize will be called must be specified with the cudaLimitDevRuntimeSyncDepth limit to the cudaDeviceSetLimit api before the host-side launch of a kernel using the device runtime. Keep in mind that additional levels of sync depth require the runtime to reserve large amounts of device memory that cannot be used for user allocations.
cudaErrorLaunchPendingCountExceeded
This error indicates that a device runtime grid launch failed because the launch would exceed the limit cudaLimitDevRuntimePendingLaunchCount. For this launch to proceed successfully, cudaDeviceSetLimit must be called to set the cudaLimitDevRuntimePendingLaunchCount to be higher than the upper bound of outstanding launches that can be issued to the device runtime. Keep in mind that raising the limit of pending device runtime launches will require the runtime to reserve device memory that cannot be used for user allocations.
cudaErrorNotPermitted
This error indicates the attempted operation is not permitted.
cudaErrorNotSupported
This error indicates the attempted operation is not supported on the current system or device.
cudaErrorHardwareStackError
Device encountered an error in the call stack during kernel execution, possibly due to stack corruption or exceeding the stack size limit. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorIllegalInstruction
The device encountered an illegal instruction during kernel execution This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorMisalignedAddress
The device encountered a load or store instruction on a memory address which is not aligned. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorInvalidAddressSpace
While executing a kernel, the device encountered an instruction which can only operate on memory locations in certain address spaces (global, shared, or local), but was supplied a memory address not belonging to an allowed address space. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorInvalidPc
The device encountered an invalid program counter. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorIllegalAddress
The device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
cudaErrorInvalidPtx
A PTX compilation failed. The runtime may fall back to compiling PTX if an application does not contain a suitable binary for the current device.
cudaErrorInvalidGraphicsContext
This indicates an error with the OpenGL or DirectX context.
cudaErrorNvlinkUncorrectable
This indicates that an uncorrectable NVLink error was detected during the execution.
cudaErrorStartupFailure
This indicates an internal startup failure in the CUDA runtime.
cudaErrorApiFailureBase
Any unhandled CUDA driver error is added to this value and returned via the runtime. Production releases of CUDA should not return such errors.
Deprecated
This error return is deprecated as of CUDA 4.1.

enum cudaFuncCache

CUDA function cache configurations
Enumerator:
cudaFuncCachePreferNone
Default function cache configuration, no preference
cudaFuncCachePreferShared
Prefer larger shared memory and smaller L1 cache
cudaFuncCachePreferL1
Prefer larger L1 cache and smaller shared memory
cudaFuncCachePreferEqual
Prefer equal size L1 cache and shared memory

enum cudaGraphicsCubeFace

CUDA graphics interop array indices for cube maps
Enumerator:
cudaGraphicsCubeFacePositiveX
Positive X face of cubemap
cudaGraphicsCubeFaceNegativeX
Negative X face of cubemap
cudaGraphicsCubeFacePositiveY
Positive Y face of cubemap
cudaGraphicsCubeFaceNegativeY
Negative Y face of cubemap
cudaGraphicsCubeFacePositiveZ
Positive Z face of cubemap
cudaGraphicsCubeFaceNegativeZ
Negative Z face of cubemap

enum cudaGraphicsMapFlags

CUDA graphics interop map flags
Enumerator:
cudaGraphicsMapFlagsNone
Default; Assume resource can be read/written
cudaGraphicsMapFlagsReadOnly
CUDA will not write to this resource
cudaGraphicsMapFlagsWriteDiscard
CUDA will only write to and will not read from this resource

enum cudaGraphicsRegisterFlags

CUDA graphics interop register flags
Enumerator:
cudaGraphicsRegisterFlagsNone
Default
cudaGraphicsRegisterFlagsReadOnly
CUDA will not write to this resource
cudaGraphicsRegisterFlagsWriteDiscard
CUDA will only write to and will not read from this resource
cudaGraphicsRegisterFlagsSurfaceLoadStore
CUDA will bind this resource to a surface reference
cudaGraphicsRegisterFlagsTextureGather
CUDA will perform texture gather operations on this resource

enum cudaLimit

CUDA Limits
Enumerator:
cudaLimitStackSize
GPU thread stack size
cudaLimitPrintfFifoSize
GPU printf/fprintf FIFO size
cudaLimitMallocHeapSize
GPU malloc heap size
cudaLimitDevRuntimeSyncDepth
GPU device runtime synchronize depth
cudaLimitDevRuntimePendingLaunchCount
GPU device runtime pending launch count

enum cudaMemcpyKind

CUDA memory copy types
Enumerator:
cudaMemcpyHostToHost
Host -> Host
cudaMemcpyHostToDevice
Host -> Device
cudaMemcpyDeviceToHost
Device -> Host
cudaMemcpyDeviceToDevice
Device -> Device
cudaMemcpyDefault
Direction of the transfer is inferred from the pointer values. Requires unified virtual addressing

enum cudaMemoryAdvise

CUDA Memory Advise values
Enumerator:
cudaMemAdviseSetReadMostly
Data will mostly be read and only occasionally be written to
cudaMemAdviseUnsetReadMostly
Undo the effect of cudaMemAdviseSetReadMostly
cudaMemAdviseSetPreferredLocation
Set the preferred location for the data as the specified device
cudaMemAdviseUnsetPreferredLocation
Clear the preferred location for the data
cudaMemAdviseSetAccessedBy
Data will be accessed by the specified device, so prevent page faults as much as possible
cudaMemAdviseUnsetAccessedBy
Let the Unified Memory subsystem decide on the page faulting policy for the specified device

enum cudaMemoryType

CUDA memory types
Enumerator:
cudaMemoryTypeHost
Host memory
cudaMemoryTypeDevice
Device memory

enum cudaMemRangeAttribute

CUDA range attributes
Enumerator:
cudaMemRangeAttributeReadMostly
Whether the range will mostly be read and only occasionally be written to
cudaMemRangeAttributePreferredLocation
The preferred location of the range
cudaMemRangeAttributeAccessedBy
Memory range has cudaMemAdviseSetAccessedBy set for specified device
cudaMemRangeAttributeLastPrefetchLocation
The last location to which the range was prefetched

enum cudaOutputMode

CUDA Profiler Output modes
Enumerator:
cudaKeyValuePair
Output mode Key-Value pair format.
cudaCSV
Output mode Comma separated values format.

enum cudaResourceType

CUDA resource types
Enumerator:
cudaResourceTypeArray
Array resource
cudaResourceTypeMipmappedArray
Mipmapped array resource
cudaResourceTypeLinear
Linear resource
cudaResourceTypePitch2D
Pitch 2D resource

enum cudaResourceViewFormat

CUDA texture resource view formats
Enumerator:
cudaResViewFormatNone
No resource view format (use underlying resource format)
cudaResViewFormatUnsignedChar1
1 channel unsigned 8-bit integers
cudaResViewFormatUnsignedChar2
2 channel unsigned 8-bit integers
cudaResViewFormatUnsignedChar4
4 channel unsigned 8-bit integers
cudaResViewFormatSignedChar1
1 channel signed 8-bit integers
cudaResViewFormatSignedChar2
2 channel signed 8-bit integers
cudaResViewFormatSignedChar4
4 channel signed 8-bit integers
cudaResViewFormatUnsignedShort1
1 channel unsigned 16-bit integers
cudaResViewFormatUnsignedShort2
2 channel unsigned 16-bit integers
cudaResViewFormatUnsignedShort4
4 channel unsigned 16-bit integers
cudaResViewFormatSignedShort1
1 channel signed 16-bit integers
cudaResViewFormatSignedShort2
2 channel signed 16-bit integers
cudaResViewFormatSignedShort4
4 channel signed 16-bit integers
cudaResViewFormatUnsignedInt1
1 channel unsigned 32-bit integers
cudaResViewFormatUnsignedInt2
2 channel unsigned 32-bit integers
cudaResViewFormatUnsignedInt4
4 channel unsigned 32-bit integers
cudaResViewFormatSignedInt1
1 channel signed 32-bit integers
cudaResViewFormatSignedInt2
2 channel signed 32-bit integers
cudaResViewFormatSignedInt4
4 channel signed 32-bit integers
cudaResViewFormatHalf1
1 channel 16-bit floating point
cudaResViewFormatHalf2
2 channel 16-bit floating point
cudaResViewFormatHalf4
4 channel 16-bit floating point
cudaResViewFormatFloat1
1 channel 32-bit floating point
cudaResViewFormatFloat2
2 channel 32-bit floating point
cudaResViewFormatFloat4
4 channel 32-bit floating point
cudaResViewFormatUnsignedBlockCompressed1
Block compressed 1
cudaResViewFormatUnsignedBlockCompressed2
Block compressed 2
cudaResViewFormatUnsignedBlockCompressed3
Block compressed 3
cudaResViewFormatUnsignedBlockCompressed4
Block compressed 4 unsigned
cudaResViewFormatSignedBlockCompressed4
Block compressed 4 signed
cudaResViewFormatUnsignedBlockCompressed5
Block compressed 5 unsigned
cudaResViewFormatSignedBlockCompressed5
Block compressed 5 signed
cudaResViewFormatUnsignedBlockCompressed6H
Block compressed 6 unsigned half-float
cudaResViewFormatSignedBlockCompressed6H
Block compressed 6 signed half-float
cudaResViewFormatUnsignedBlockCompressed7
Block compressed 7

enum cudaSharedMemConfig

CUDA shared memory configuration

enum cudaSurfaceBoundaryMode

CUDA Surface boundary modes
Enumerator:
cudaBoundaryModeZero
Zero boundary mode
cudaBoundaryModeClamp
Clamp boundary mode
cudaBoundaryModeTrap
Trap boundary mode

enum cudaSurfaceFormatMode

CUDA Surface format modes
Enumerator:
cudaFormatModeForced
Forced format mode
cudaFormatModeAuto
Auto format mode

enum cudaTextureAddressMode

CUDA texture address modes
Enumerator:
cudaAddressModeWrap
Wrapping address mode
cudaAddressModeClamp
Clamp to edge address mode
cudaAddressModeMirror
Mirror address mode
cudaAddressModeBorder
Border address mode

enum cudaTextureFilterMode

CUDA texture filter modes
Enumerator:
cudaFilterModePoint
Point filter mode
cudaFilterModeLinear
Linear filter mode

enum cudaTextureReadMode

CUDA texture read modes
Enumerator:
cudaReadModeElementType
Read texture as specified element type
cudaReadModeNormalizedFloat
Read texture as normalized float

Author

Generated automatically by Doxygen from the source code.
13 Jan 2017 Version 6.0