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 cudaExternalMemoryBufferDesc
struct cudaExternalMemoryHandleDesc
struct cudaExternalMemoryMipmappedArrayDesc
struct cudaExternalSemaphoreHandleDesc
struct cudaExternalSemaphoreSignalParams
struct cudaExternalSemaphoreWaitParams
struct cudaFuncAttributes
struct cudaHostNodeParams
struct cudaIpcEventHandle_t
struct cudaIpcMemHandle_t
struct cudaKernelNodeParams
struct cudaLaunchParams
struct cudaMemcpy3DParms
struct cudaMemcpy3DPeerParms
struct cudaMemsetParams
struct cudaPitchedPtr
struct cudaPointerAttributes
struct cudaPos
struct cudaResourceDesc
struct cudaResourceViewDesc
struct cudaTextureDesc
struct cudaUUID_t
struct surfaceReference
struct textureReference

  Defines

#define CUDA_EGL_MAX_PLANES 3
#define CUDA_IPC_HANDLE_SIZE 64
#define cudaArrayColorAttachment 0x20
#define cudaArrayCubemap 0x04
#define cudaArrayDefault 0x00
#define cudaArrayLayered 0x01
#define cudaArraySurfaceLoadStore 0x02
#define cudaArrayTextureGather 0x08
#define cudaCooperativeLaunchMultiDeviceNoPostSync 0x02
#define cudaCooperativeLaunchMultiDeviceNoPreSync 0x01
#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 cudaExternalMemoryDedicated 0x1
#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 CUexternalMemory_st * cudaExternalMemory_t
typedef struct CUexternalSemaphore_st * cudaExternalSemaphore_t
typedef struct CUgraph_st * cudaGraph_t
typedef struct CUgraphExec_st * cudaGraphExec_t
typedef struct cudaGraphicsResource * cudaGraphicsResource_t
typedef struct CUgraphNode_st * cudaGraphNode_t
typedef void(CUDART_CB * cudaHostFn_t )(void *userData)
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

  Enumerations

enum cudaCGScope { cudaCGScopeInvalid = 0, cudaCGScopeGrid = 1, cudaCGScopeMultiGrid = 2 }
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, cudaDevAttrCooperativeLaunch = 95, cudaDevAttrCooperativeMultiDeviceLaunch = 96, cudaDevAttrMaxSharedMemoryPerBlockOptin = 97, cudaDevAttrCanFlushRemoteWrites = 98, cudaDevAttrHostRegisterSupported = 99, cudaDevAttrPageableMemoryAccessUsesHostPageTables = 100, cudaDevAttrDirectManagedMemAccessFromHost = 101 }
enum cudaDeviceP2PAttr { cudaDevP2PAttrPerformanceRank = 1, cudaDevP2PAttrAccessSupported = 2, cudaDevP2PAttrNativeAtomicSupported = 3, cudaDevP2PAttrCudaArrayAccessSupported = 4 }
enum cudaEglColorFormat { cudaEglColorFormatYUV420Planar = 0, cudaEglColorFormatYUV420SemiPlanar = 1, cudaEglColorFormatYUV422Planar = 2, cudaEglColorFormatYUV422SemiPlanar = 3, cudaEglColorFormatRGB = 4, cudaEglColorFormatBGR = 5, cudaEglColorFormatARGB = 6, cudaEglColorFormatRGBA = 7, cudaEglColorFormatL = 8, cudaEglColorFormatR = 9, cudaEglColorFormatYUV444Planar = 10, cudaEglColorFormatYUV444SemiPlanar = 11, cudaEglColorFormatYUYV422 = 12, cudaEglColorFormatUYVY422 = 13, cudaEglColorFormatABGR = 14, cudaEglColorFormatBGRA = 15, cudaEglColorFormatA = 16, cudaEglColorFormatRG = 17, cudaEglColorFormatAYUV = 18, cudaEglColorFormatYVU444SemiPlanar = 19, cudaEglColorFormatYVU422SemiPlanar = 20, cudaEglColorFormatYVU420SemiPlanar = 21, cudaEglColorFormatY10V10U10_444SemiPlanar = 22, cudaEglColorFormatY10V10U10_420SemiPlanar = 23, cudaEglColorFormatY12V12U12_444SemiPlanar = 24, cudaEglColorFormatY12V12U12_420SemiPlanar = 25, cudaEglColorFormatVYUY_ER = 26, cudaEglColorFormatUYVY_ER = 27, cudaEglColorFormatYUYV_ER = 28, cudaEglColorFormatYVYU_ER = 29, cudaEglColorFormatYUV_ER = 30, cudaEglColorFormatYUVA_ER = 31, cudaEglColorFormatAYUV_ER = 32, cudaEglColorFormatYUV444Planar_ER = 33, cudaEglColorFormatYUV422Planar_ER = 34, cudaEglColorFormatYUV420Planar_ER = 35, cudaEglColorFormatYUV444SemiPlanar_ER = 36, cudaEglColorFormatYUV422SemiPlanar_ER = 37, cudaEglColorFormatYUV420SemiPlanar_ER = 38, cudaEglColorFormatYVU444Planar_ER = 39, cudaEglColorFormatYVU422Planar_ER = 40, cudaEglColorFormatYVU420Planar_ER = 41, cudaEglColorFormatYVU444SemiPlanar_ER = 42, cudaEglColorFormatYVU422SemiPlanar_ER = 43, cudaEglColorFormatYVU420SemiPlanar_ER = 44, cudaEglColorFormatBayerRGGB = 45, cudaEglColorFormatBayerBGGR = 46, cudaEglColorFormatBayerGRBG = 47, cudaEglColorFormatBayerGBRG = 48, cudaEglColorFormatBayer10RGGB = 49, cudaEglColorFormatBayer10BGGR = 50, cudaEglColorFormatBayer10GRBG = 51, cudaEglColorFormatBayer10GBRG = 52, cudaEglColorFormatBayer12RGGB = 53, cudaEglColorFormatBayer12BGGR = 54, cudaEglColorFormatBayer12GRBG = 55, cudaEglColorFormatBayer12GBRG = 56, cudaEglColorFormatBayer14RGGB = 57, cudaEglColorFormatBayer14BGGR = 58, cudaEglColorFormatBayer14GRBG = 59, cudaEglColorFormatBayer14GBRG = 60, cudaEglColorFormatBayer20RGGB = 61, cudaEglColorFormatBayer20BGGR = 62, cudaEglColorFormatBayer20GRBG = 63, cudaEglColorFormatBayer20GBRG = 64, cudaEglColorFormatYVU444Planar = 65, cudaEglColorFormatYVU422Planar = 66, cudaEglColorFormatYVU420Planar = 67, cudaEglColorFormatBayerIspRGGB = 68, cudaEglColorFormatBayerIspBGGR = 69, cudaEglColorFormatBayerIspGRBG = 70, cudaEglColorFormatBayerIspGBRG = 71 }
enum cudaEglFrameType { cudaEglFrameTypeArray = 0, cudaEglFrameTypePitch = 1 }
enum cudaEglResourceLocationFlags { cudaEglResourceLocationSysmem = 0x00, cudaEglResourceLocationVidmem = 0x01 }
enum cudaError { cudaSuccess = 0, cudaErrorInvalidValue = 1, cudaErrorMemoryAllocation = 2, cudaErrorInitializationError = 3, cudaErrorCudartUnloading = 4, cudaErrorProfilerDisabled = 5, cudaErrorProfilerNotInitialized = 6, cudaErrorProfilerAlreadyStarted = 7, cudaErrorProfilerAlreadyStopped = 8, cudaErrorInvalidConfiguration = 9, cudaErrorInvalidPitchValue = 12, cudaErrorInvalidSymbol = 13, 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, cudaErrorNotYetImplemented = 31, cudaErrorMemoryValueTooLarge = 32, cudaErrorInsufficientDriver = 35, cudaErrorInvalidSurface = 37, cudaErrorDuplicateVariableName = 43, cudaErrorDuplicateTextureName = 44, cudaErrorDuplicateSurfaceName = 45, cudaErrorDevicesUnavailable = 46, cudaErrorIncompatibleDriverContext = 49, cudaErrorMissingConfiguration = 52, cudaErrorPriorLaunchFailure = 53, cudaErrorLaunchMaxDepthExceeded = 65, cudaErrorLaunchFileScopedTex = 66, cudaErrorLaunchFileScopedSurf = 67, cudaErrorSyncDepthExceeded = 68, cudaErrorLaunchPendingCountExceeded = 69, cudaErrorInvalidDeviceFunction = 98, cudaErrorNoDevice = 100, cudaErrorInvalidDevice = 101, cudaErrorStartupFailure = 127, cudaErrorInvalidKernelImage = 200, cudaErrorDeviceUninitilialized = 201, cudaErrorMapBufferObjectFailed = 205, cudaErrorUnmapBufferObjectFailed = 206, cudaErrorArrayIsMapped = 207, cudaErrorAlreadyMapped = 208, cudaErrorNoKernelImageForDevice = 209, cudaErrorAlreadyAcquired = 210, cudaErrorNotMapped = 211, cudaErrorNotMappedAsArray = 212, cudaErrorNotMappedAsPointer = 213, cudaErrorECCUncorrectable = 214, cudaErrorUnsupportedLimit = 215, cudaErrorDeviceAlreadyInUse = 216, cudaErrorPeerAccessUnsupported = 217, cudaErrorInvalidPtx = 218, cudaErrorInvalidGraphicsContext = 219, cudaErrorNvlinkUncorrectable = 220, cudaErrorJitCompilerNotFound = 221, cudaErrorInvalidSource = 300, cudaErrorFileNotFound = 301, cudaErrorSharedObjectSymbolNotFound = 302, cudaErrorSharedObjectInitFailed = 303, cudaErrorOperatingSystem = 304, cudaErrorInvalidResourceHandle = 400, cudaErrorIllegalState = 401, cudaErrorSymbolNotFound = 500, cudaErrorNotReady = 600, cudaErrorIllegalAddress = 700, cudaErrorLaunchOutOfResources = 701, cudaErrorLaunchTimeout = 702, cudaErrorLaunchIncompatibleTexturing = 703, cudaErrorPeerAccessAlreadyEnabled = 704, cudaErrorPeerAccessNotEnabled = 705, cudaErrorSetOnActiveProcess = 708, cudaErrorContextIsDestroyed = 709, cudaErrorAssert = 710, cudaErrorTooManyPeers = 711, cudaErrorHostMemoryAlreadyRegistered = 712, cudaErrorHostMemoryNotRegistered = 713, cudaErrorHardwareStackError = 714, cudaErrorIllegalInstruction = 715, cudaErrorMisalignedAddress = 716, cudaErrorInvalidAddressSpace = 717, cudaErrorInvalidPc = 718, cudaErrorLaunchFailure = 719, cudaErrorCooperativeLaunchTooLarge = 720, cudaErrorNotPermitted = 800, cudaErrorNotSupported = 801, cudaErrorSystemNotReady = 802, cudaErrorSystemDriverMismatch = 803, cudaErrorCompatNotSupportedOnDevice = 804, cudaErrorStreamCaptureUnsupported = 900, cudaErrorStreamCaptureInvalidated = 901, cudaErrorStreamCaptureMerge = 902, cudaErrorStreamCaptureUnmatched = 903, cudaErrorStreamCaptureUnjoined = 904, cudaErrorStreamCaptureIsolation = 905, cudaErrorStreamCaptureImplicit = 906, cudaErrorCapturedEvent = 907, cudaErrorStreamCaptureWrongThread = 908, cudaErrorUnknown = 999, cudaErrorApiFailureBase = 10000 }
enum cudaExternalMemoryHandleType { cudaExternalMemoryHandleTypeOpaqueFd = 1, cudaExternalMemoryHandleTypeOpaqueWin32 = 2, cudaExternalMemoryHandleTypeOpaqueWin32Kmt = 3, cudaExternalMemoryHandleTypeD3D12Heap = 4, cudaExternalMemoryHandleTypeD3D12Resource = 5 }
enum cudaExternalSemaphoreHandleType { cudaExternalSemaphoreHandleTypeOpaqueFd = 1, cudaExternalSemaphoreHandleTypeOpaqueWin32 = 2, cudaExternalSemaphoreHandleTypeOpaqueWin32Kmt = 3, cudaExternalSemaphoreHandleTypeD3D12Fence = 4 }
enum cudaFuncAttribute { cudaFuncAttributeMaxDynamicSharedMemorySize = 8, cudaFuncAttributePreferredSharedMemoryCarveout = 9 }
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 cudaGraphNodeType { cudaGraphNodeTypeKernel = 0x00, cudaGraphNodeTypeMemcpy = 0x01, cudaGraphNodeTypeMemset = 0x02, cudaGraphNodeTypeHost = 0x03, cudaGraphNodeTypeGraph = 0x04, cudaGraphNodeTypeEmpty = 0x05 }
enum cudaLimit { cudaLimitStackSize = 0x00, cudaLimitPrintfFifoSize = 0x01, cudaLimitMallocHeapSize = 0x02, cudaLimitDevRuntimeSyncDepth = 0x03, cudaLimitDevRuntimePendingLaunchCount = 0x04, cudaLimitMaxL2FetchGranularity = 0x05 }
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 { cudaMemoryTypeUnregistered = 0, cudaMemoryTypeHost = 1, cudaMemoryTypeDevice = 2, cudaMemoryTypeManaged = 3 }
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 cudaSharedCarveout { cudaSharedmemCarveoutDefault = -1, cudaSharedmemCarveoutMaxShared = 100, cudaSharedmemCarveoutMaxL1 = 0 }
enum cudaSharedMemConfig
enum cudaStreamCaptureMode
enum cudaStreamCaptureStatus { cudaStreamCaptureStatusNone = 0, cudaStreamCaptureStatusActive = 1, cudaStreamCaptureStatusInvalidated = 2 }
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 cudaArrayColorAttachment 0x20

Must be set in cudaExternalMemoryGetMappedMipmappedArray if the mipmapped array is used as a color target in a graphics API

  #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 cudaCooperativeLaunchMultiDeviceNoPostSync 0x02

If set, any subsequent work pushed in a stream that participated in a call to cudaLaunchCooperativeKernelMultiDevice will only wait for the kernel launched on the GPU corresponding to that stream to complete before it begins execution.

  #define cudaCooperativeLaunchMultiDeviceNoPreSync 0x01

If set, each kernel launched as part of cudaLaunchCooperativeKernelMultiDevice only waits for prior work in the stream corresponding to that GPU to complete before the kernel begins execution.

  #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 cudaExternalMemoryDedicated 0x1

Indicates that the external memory object is a dedicated resource

  #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 CUexternalMemory_st* cudaExternalMemory_t

CUDA external memory

  typedef struct CUexternalSemaphore_st* cudaExternalSemaphore_t

CUDA external semaphore

  typedef struct CUgraph_st* cudaGraph_t

CUDA graph

  typedef struct CUgraphExec_st* cudaGraphExec_t

CUDA executable (launchable) graph

  typedef struct cudaGraphicsResource* cudaGraphicsResource_t

CUDA graphics resource types

  typedef struct CUgraphNode_st* cudaGraphNode_t

CUDA graph node.

  typedef void(CUDART_CB * cudaHostFn_t)(void *userData)

CUDA host function

Parameters:
    userData Argument value passed to the function

  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

Enumeration Type Documentation

  enum cudaCGScope

CUDA cooperative group scope

Enumerator:

cudaCGScopeInvalid
    Invalid cooperative group scope

cudaCGScopeGrid
    Scope represented by a grid_group

cudaCGScopeMultiGrid
    Scope represented by a multi_grid_group

  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

cudaDevAttrCooperativeLaunch
    Device supports launching cooperative kernels via cudaLaunchCooperativeKernel

cudaDevAttrCooperativeMultiDeviceLaunch
    Device can participate in cooperative kernels launched via cudaLaunchCooperativeKernelMultiDevice

cudaDevAttrMaxSharedMemoryPerBlockOptin
    The maximum optin shared memory per block. This value may vary by chip. See cudaFuncSetAttribute

cudaDevAttrCanFlushRemoteWrites
    Device supports flushing of outstanding remote writes.

cudaDevAttrHostRegisterSupported
    Device supports host memory registration via cudaHostRegister.

cudaDevAttrPageableMemoryAccessUsesHostPageTables
    Device accesses pageable memory via the host's page tables.

cudaDevAttrDirectManagedMemAccessFromHost
    Host can directly access managed memory on the device without migration.

  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

cudaDevP2PAttrCudaArrayAccessSupported
    Accessing CUDA arrays 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) with VU byte ordering, 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 with VU byte ordering, width, height ratio same as YUV422Planar.

cudaEglColorFormatRGB
    R/G/B three channels in one surface with BGR byte ordering. Only pitch linear format supported.

cudaEglColorFormatBGR
    R/G/B three channels in one surface with RGB byte ordering. Only pitch linear format supported.

cudaEglColorFormatARGB
    R/G/B/A four channels in one surface with BGRA byte ordering.

cudaEglColorFormatRGBA
    R/G/B/A four channels in one surface with ABGR byte ordering.

cudaEglColorFormatL
    single luminance channel in one surface.

cudaEglColorFormatR
    single color channel in one surface.

cudaEglColorFormatYUV444Planar
    Y, U, V in three surfaces, each in a separate surface, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYUV444SemiPlanar
    Y, UV in two surfaces (UV as one surface) with VU byte ordering, width, height ratio same as YUV444Planar.

cudaEglColorFormatYUYV422
    Y, U, V in one surface, interleaved as UYVY.

cudaEglColorFormatUYVY422
    Y, U, V in one surface, interleaved as YUYV.

cudaEglColorFormatABGR
    R/G/B/A four channels in one surface with RGBA byte ordering.

cudaEglColorFormatBGRA
    R/G/B/A four channels in one surface with ARGB byte ordering.

cudaEglColorFormatA
    Alpha color format - one channel in one surface.

cudaEglColorFormatRG
    R/G color format - two channels in one surface with GR byte ordering

cudaEglColorFormatAYUV
    Y, U, V, A four channels in one surface, interleaved as VUYA.

cudaEglColorFormatYVU444SemiPlanar
    Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYVU422SemiPlanar
    Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYVU420SemiPlanar
    Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatY10V10U10_444SemiPlanar
    Y10, V10U10 in two surfaces (VU as one surface) with UV byte ordering, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatY10V10U10_420SemiPlanar
    Y10, V10U10 in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatY12V12U12_444SemiPlanar
    Y12, V12U12 in two surfaces (VU as one surface) with UV byte ordering, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatY12V12U12_420SemiPlanar
    Y12, V12U12 in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatVYUY_ER
    Extended Range Y, U, V in one surface, interleaved as YVYU.

cudaEglColorFormatUYVY_ER
    Extended Range Y, U, V in one surface, interleaved as YUYV.

cudaEglColorFormatYUYV_ER
    Extended Range Y, U, V in one surface, interleaved as UYVY.

cudaEglColorFormatYVYU_ER
    Extended Range Y, U, V in one surface, interleaved as VYUY.

cudaEglColorFormatYUV_ER
    Extended Range Y, U, V three channels in one surface, interleaved as VUY. Only pitch linear format supported.

cudaEglColorFormatYUVA_ER
    Extended Range Y, U, V, A four channels in one surface, interleaved as AVUY.

cudaEglColorFormatAYUV_ER
    Extended Range Y, U, V, A four channels in one surface, interleaved as VUYA.

cudaEglColorFormatYUV444Planar_ER
    Extended Range Y, U, V in three surfaces, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYUV422Planar_ER
    Extended Range Y, U, V in three surfaces, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYUV420Planar_ER
    Extended Range Y, U, V in three surfaces, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatYUV444SemiPlanar_ER
    Extended Range Y, UV in two surfaces (UV as one surface) with VU byte ordering, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYUV422SemiPlanar_ER
    Extended Range Y, UV in two surfaces (UV as one surface) with VU byte ordering, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYUV420SemiPlanar_ER
    Extended Range Y, UV in two surfaces (UV as one surface) with VU byte ordering, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatYVU444Planar_ER
    Extended Range Y, V, U in three surfaces, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYVU422Planar_ER
    Extended Range Y, V, U in three surfaces, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYVU420Planar_ER
    Extended Range Y, V, U in three surfaces, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatYVU444SemiPlanar_ER
    Extended Range Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYVU422SemiPlanar_ER
    Extended Range Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYVU420SemiPlanar_ER
    Extended Range Y, VU in two surfaces (VU as one surface) with UV byte ordering, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatBayerRGGB
    Bayer format - one channel in one surface with interleaved RGGB ordering.

cudaEglColorFormatBayerBGGR
    Bayer format - one channel in one surface with interleaved BGGR ordering.

cudaEglColorFormatBayerGRBG
    Bayer format - one channel in one surface with interleaved GRBG ordering.

cudaEglColorFormatBayerGBRG
    Bayer format - one channel in one surface with interleaved GBRG ordering.

cudaEglColorFormatBayer10RGGB
    Bayer10 format - one channel in one surface with interleaved RGGB ordering. Out of 16 bits, 10 bits used 6 bits No-op.

cudaEglColorFormatBayer10BGGR
    Bayer10 format - one channel in one surface with interleaved BGGR ordering. Out of 16 bits, 10 bits used 6 bits No-op.

cudaEglColorFormatBayer10GRBG
    Bayer10 format - one channel in one surface with interleaved GRBG ordering. Out of 16 bits, 10 bits used 6 bits No-op.

cudaEglColorFormatBayer10GBRG
    Bayer10 format - one channel in one surface with interleaved GBRG ordering. Out of 16 bits, 10 bits used 6 bits No-op.

cudaEglColorFormatBayer12RGGB
    Bayer12 format - one channel in one surface with interleaved RGGB ordering. Out of 16 bits, 12 bits used 4 bits No-op.

cudaEglColorFormatBayer12BGGR
    Bayer12 format - one channel in one surface with interleaved BGGR ordering. Out of 16 bits, 12 bits used 4 bits No-op.

cudaEglColorFormatBayer12GRBG
    Bayer12 format - one channel in one surface with interleaved GRBG ordering. Out of 16 bits, 12 bits used 4 bits No-op.

cudaEglColorFormatBayer12GBRG
    Bayer12 format - one channel in one surface with interleaved GBRG ordering. Out of 16 bits, 12 bits used 4 bits No-op.

cudaEglColorFormatBayer14RGGB
    Bayer14 format - one channel in one surface with interleaved RGGB ordering. Out of 16 bits, 14 bits used 2 bits No-op.

cudaEglColorFormatBayer14BGGR
    Bayer14 format - one channel in one surface with interleaved BGGR ordering. Out of 16 bits, 14 bits used 2 bits No-op.

cudaEglColorFormatBayer14GRBG
    Bayer14 format - one channel in one surface with interleaved GRBG ordering. Out of 16 bits, 14 bits used 2 bits No-op.

cudaEglColorFormatBayer14GBRG
    Bayer14 format - one channel in one surface with interleaved GBRG ordering. Out of 16 bits, 14 bits used 2 bits No-op.

cudaEglColorFormatBayer20RGGB
    Bayer20 format - one channel in one surface with interleaved RGGB ordering. Out of 32 bits, 20 bits used 12 bits No-op.

cudaEglColorFormatBayer20BGGR
    Bayer20 format - one channel in one surface with interleaved BGGR ordering. Out of 32 bits, 20 bits used 12 bits No-op.

cudaEglColorFormatBayer20GRBG
    Bayer20 format - one channel in one surface with interleaved GRBG ordering. Out of 32 bits, 20 bits used 12 bits No-op.

cudaEglColorFormatBayer20GBRG
    Bayer20 format - one channel in one surface with interleaved GBRG ordering. Out of 32 bits, 20 bits used 12 bits No-op.

cudaEglColorFormatYVU444Planar
    Y, V, U in three surfaces, each in a separate surface, U/V width = Y width, U/V height = Y height.

cudaEglColorFormatYVU422Planar
    Y, V, U in three surfaces, each in a separate surface, U/V width = 1/2 Y width, U/V height = Y height.

cudaEglColorFormatYVU420Planar
    Y, V, U in three surfaces, each in a separate surface, U/V width = 1/2 Y width, U/V height = 1/2 Y height.

cudaEglColorFormatBayerIspRGGB
    Nvidia proprietary Bayer ISP format - one channel in one surface with interleaved RGGB ordering and mapped to opaque integer datatype.

cudaEglColorFormatBayerIspBGGR
    Nvidia proprietary Bayer ISP format - one channel in one surface with interleaved BGGR ordering and mapped to opaque integer datatype.

cudaEglColorFormatBayerIspGRBG
    Nvidia proprietary Bayer ISP format - one channel in one surface with interleaved GRBG ordering and mapped to opaque integer datatype.

cudaEglColorFormatBayerIspGBRG
    Nvidia proprietary Bayer ISP format - one channel in one surface with interleaved GBRG ordering and mapped to opaque integer datatype.

  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 also means that the operation being queried is complete (see cudaEventQuery() and cudaStreamQuery()).

cudaErrorInvalidValue
    This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values.

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.

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.

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.

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.

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.

cudaErrorInvalidHostPointer
    This indicates that at least one host pointer passed to the API call is not a valid host pointer.

Deprecated
    This error return is deprecated as of CUDA 10.1.

cudaErrorInvalidDevicePointer
    This indicates that at least one device pointer passed to the API call is not a valid device pointer.

Deprecated
    This error return is deprecated as of CUDA 10.1.

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.

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.

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.

cudaErrorInvalidSurface
    This indicates that the surface passed to the API call is not a valid surface.

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.

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.

cudaErrorMissingConfiguration
    The device function being invoked (usually via cudaLaunchKernel()) was not previously configured via the cudaConfigureCall() function.

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.

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.

cudaErrorInvalidDeviceFunction
    The requested device function does not exist or is not compiled for the proper device architecture.

cudaErrorNoDevice
    This indicates that no CUDA-capable devices were detected by the installed CUDA driver.

cudaErrorInvalidDevice
    This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.

cudaErrorStartupFailure
    This indicates an internal startup failure in the CUDA runtime.

cudaErrorInvalidKernelImage
    This indicates that the device kernel image is invalid.

cudaErrorDeviceUninitilialized
    This most frequently indicates that there is no context bound to the current thread. This can also be returned if the context passed to an API call is not a valid handle (such as a context that has had cuCtxDestroy() invoked on it). This can also be returned if a user mixes different API versions (i.e. 3010 context with 3020 API calls). See cuCtxGetApiVersion() for more details.

cudaErrorMapBufferObjectFailed
    This indicates that the buffer object could not be mapped.

cudaErrorUnmapBufferObjectFailed
    This indicates that the buffer object could not be unmapped.

cudaErrorArrayIsMapped
    This indicates that the specified array is currently mapped and thus cannot be destroyed.

cudaErrorAlreadyMapped
    This indicates that the resource is already mapped.

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.

cudaErrorAlreadyAcquired
    This indicates that a resource has already been acquired.

cudaErrorNotMapped
    This indicates that a resource is not mapped.

cudaErrorNotMappedAsArray
    This indicates that a mapped resource is not available for access as an array.

cudaErrorNotMappedAsPointer
    This indicates that a mapped resource is not available for access as a pointer.

cudaErrorECCUncorrectable
    This indicates that an uncorrectable ECC error was detected during execution.

cudaErrorUnsupportedLimit
    This indicates that the cudaLimit passed to the API call is not supported by the active device.

cudaErrorDeviceAlreadyInUse
    This indicates that a call tried to access an exclusive-thread device that is already in use by a different thread.

cudaErrorPeerAccessUnsupported
    This error indicates that P2P access is not supported across the given devices.

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.

cudaErrorJitCompilerNotFound
    This indicates that the PTX JIT compiler library was not found. The JIT Compiler library is used for PTX compilation. The runtime may fall back to compiling PTX if an application does not contain a suitable binary for the current device.

cudaErrorInvalidSource
    This indicates that the device kernel source is invalid.

cudaErrorFileNotFound
    This indicates that the file specified was not found.

cudaErrorSharedObjectSymbolNotFound
    This indicates that a link to a shared object failed to resolve.

cudaErrorSharedObjectInitFailed
    This indicates that initialization of a shared object failed.

cudaErrorOperatingSystem
    This error indicates that an OS call failed.

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.

cudaErrorIllegalState
    This indicates that a resource required by the API call is not in a valid state to perform the requested operation.

cudaErrorSymbolNotFound
    This indicates that a named symbol was not found. Examples of symbols are global/constant variable names, texture names, and surface names.

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().

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.

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.

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.

cudaErrorLaunchIncompatibleTexturing
    This error indicates a kernel launch that uses an incompatible texturing mode.

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().

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.

cudaErrorContextIsDestroyed
    This error indicates that the context current to the calling thread has been destroyed using cuCtxDestroy, or is a primary context which has not yet been initialized.

cudaErrorAssert
    An assert triggered in device code during kernel execution. The device cannot be used again. All existing allocations are invalid. To continue using CUDA, the process must be terminated and relaunched.

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.

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.

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. Less common cases can be system specific - more information about these cases can be found in the system specific user guide. 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.

cudaErrorCooperativeLaunchTooLarge
    This error indicates that the number of blocks launched per grid for a kernel that was launched via either cudaLaunchCooperativeKernel or cudaLaunchCooperativeKernelMultiDevice exceeds the maximum number of blocks as allowed by cudaOccupancyMaxActiveBlocksPerMultiprocessor or cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags times the number of multiprocessors as specified by the device attribute cudaDevAttrMultiProcessorCount.

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.

cudaErrorSystemNotReady
    This error indicates that the system is not yet ready to start any CUDA work. To continue using CUDA, verify the system configuration is in a valid state and all required driver daemons are actively running. More information about this error can be found in the system specific user guide.

cudaErrorSystemDriverMismatch
    This error indicates that there is a mismatch between the versions of the display driver and the CUDA driver. Refer to the compatibility documentation for supported versions.

cudaErrorCompatNotSupportedOnDevice
    This error indicates that the system was upgraded to run with forward compatibility but the visible hardware detected by CUDA does not support this configuration. Refer to the compatibility documentation for the supported hardware matrix or ensure that only supported hardware is visible during initialization via the CUDA_VISIBLE_DEVICES environment variable.

cudaErrorStreamCaptureUnsupported
    The operation is not permitted when the stream is capturing.

cudaErrorStreamCaptureInvalidated
    The current capture sequence on the stream has been invalidated due to a previous error.

cudaErrorStreamCaptureMerge
    The operation would have resulted in a merge of two independent capture sequences.

cudaErrorStreamCaptureUnmatched
    The capture was not initiated in this stream.

cudaErrorStreamCaptureUnjoined
    The capture sequence contains a fork that was not joined to the primary stream.

cudaErrorStreamCaptureIsolation
    A dependency would have been created which crosses the capture sequence boundary. Only implicit in-stream ordering dependencies are allowed to cross the boundary.

cudaErrorStreamCaptureImplicit
    The operation would have resulted in a disallowed implicit dependency on a current capture sequence from cudaStreamLegacy.

cudaErrorCapturedEvent
    The operation is not permitted on an event which was last recorded in a capturing stream.

cudaErrorStreamCaptureWrongThread
    A stream capture sequence not initiated with the cudaStreamCaptureModeRelaxed argument to cudaStreamBeginCapture was passed to cudaStreamEndCapture in a different thread.

cudaErrorUnknown
    This indicates that an unknown internal error has occurred.

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 cudaExternalMemoryHandleType

External memory handle types

Enumerator:

cudaExternalMemoryHandleTypeOpaqueFd
    Handle is an opaque file descriptor

cudaExternalMemoryHandleTypeOpaqueWin32
    Handle is an opaque shared NT handle

cudaExternalMemoryHandleTypeOpaqueWin32Kmt
    Handle is an opaque, globally shared handle

cudaExternalMemoryHandleTypeD3D12Heap
    Handle is a D3D12 heap object

cudaExternalMemoryHandleTypeD3D12Resource
    Handle is a D3D12 committed resource

  enum cudaExternalSemaphoreHandleType

External semaphore handle types

Enumerator:

cudaExternalSemaphoreHandleTypeOpaqueFd
    Handle is an opaque file descriptor

cudaExternalSemaphoreHandleTypeOpaqueWin32
    Handle is an opaque shared NT handle

cudaExternalSemaphoreHandleTypeOpaqueWin32Kmt
    Handle is an opaque, globally shared handle

cudaExternalSemaphoreHandleTypeD3D12Fence
    Handle is a shared NT handle referencing a D3D12 fence object

  enum cudaFuncAttribute

CUDA function attributes that can be set using cudaFuncSetAttribute

Enumerator:

cudaFuncAttributeMaxDynamicSharedMemorySize
    Maximum dynamic shared memory size

cudaFuncAttributePreferredSharedMemoryCarveout
    Preferred shared memory-L1 cache split

  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 cudaGraphNodeType

CUDA Graph node types

Enumerator:

cudaGraphNodeTypeKernel
    GPU kernel node

cudaGraphNodeTypeMemcpy
    Memcpy node

cudaGraphNodeTypeMemset
    Memset node

cudaGraphNodeTypeHost
    Host (executable) node

cudaGraphNodeTypeGraph
    Node which executes an embedded graph

cudaGraphNodeTypeEmpty
    Empty (no-op) node

  enum cudaLimit

CUDA Limits

Enumerator:

cudaLimitStackSize
    GPU thread stack size

cudaLimitPrintfFifoSize
    GPU printf FIFO size

cudaLimitMallocHeapSize
    GPU malloc heap size

cudaLimitDevRuntimeSyncDepth
    GPU device runtime synchronize depth

cudaLimitDevRuntimePendingLaunchCount
    GPU device runtime pending launch count

cudaLimitMaxL2FetchGranularity
    A value between 0 and 128 that indicates the maximum fetch granularity of L2 (in Bytes). This is a hint

  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 occassionally 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:

cudaMemoryTypeUnregistered
    Unregistered memory

cudaMemoryTypeHost
    Host memory

cudaMemoryTypeDevice
    Device memory

cudaMemoryTypeManaged
    Managed memory

  enum cudaMemRangeAttribute

CUDA range attributes

Enumerator:

cudaMemRangeAttributeReadMostly
    Whether the range will mostly be read and only occassionally 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 cudaSharedCarveout

Shared memory carveout configurations. These may be passed to cudaFuncSetAttribute

Enumerator:

cudaSharedmemCarveoutDefault
    No preference for shared memory or L1 (default)

cudaSharedmemCarveoutMaxShared
    Prefer maximum available shared memory, minimum L1 cache

cudaSharedmemCarveoutMaxL1
    Prefer maximum available L1 cache, minimum shared memory

  enum cudaSharedMemConfig

CUDA shared memory configuration

  enum cudaStreamCaptureMode

Possible modes for stream capture thread interactions. For more details see cudaStreamBeginCapture and cudaThreadExchangeStreamCaptureMode

  enum cudaStreamCaptureStatus

Possible stream capture statuses returned by cudaStreamIsCapturing

Enumerator:

cudaStreamCaptureStatusNone
    Stream is not capturing

cudaStreamCaptureStatusActive
    Stream is actively capturing

cudaStreamCaptureStatusInvalidated
    Stream is part of a capture sequence that has been invalidated, but not terminated

  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

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