Provided by: nvidia-cuda-dev_9.1.85-3ubuntu1_amd64 
NAME
Data types used by CUDA driver -
Data Structures
struct CUDA_ARRAY3D_DESCRIPTOR
struct CUDA_ARRAY_DESCRIPTOR
struct CUDA_LAUNCH_PARAMS
struct CUDA_MEMCPY2D
struct CUDA_MEMCPY3D
struct CUDA_MEMCPY3D_PEER
struct CUDA_POINTER_ATTRIBUTE_P2P_TOKENS
struct CUDA_RESOURCE_DESC
struct CUDA_RESOURCE_VIEW_DESC
struct CUDA_TEXTURE_DESC
struct CUdevprop
struct CUeglFrame
struct CUipcEventHandle
struct CUipcMemHandle
union CUstreamBatchMemOpParams
Defines
#define CU_DEVICE_CPU ((CUdevice)-1)
#define CU_DEVICE_INVALID ((CUdevice)-2)
#define CU_IPC_HANDLE_SIZE 64
#define CU_LAUNCH_PARAM_BUFFER_POINTER ((void*)0x01)
#define CU_LAUNCH_PARAM_BUFFER_SIZE ((void*)0x02)
#define CU_LAUNCH_PARAM_END ((void*)0x00)
#define CU_MEMHOSTALLOC_DEVICEMAP 0x02
#define CU_MEMHOSTALLOC_PORTABLE 0x01
#define CU_MEMHOSTALLOC_WRITECOMBINED 0x04
#define CU_MEMHOSTREGISTER_DEVICEMAP 0x02
#define CU_MEMHOSTREGISTER_IOMEMORY 0x04
#define CU_MEMHOSTREGISTER_PORTABLE 0x01
#define CU_PARAM_TR_DEFAULT -1
#define CU_STREAM_LEGACY ((CUstream)0x1)
#define CU_STREAM_PER_THREAD ((CUstream)0x2)
#define CU_TRSA_OVERRIDE_FORMAT 0x01
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
#define CU_TRSF_READ_AS_INTEGER 0x01
#define CU_TRSF_SRGB 0x10
#define CUDA_ARRAY3D_2DARRAY 0x01
#define CUDA_ARRAY3D_CUBEMAP 0x04
#define CUDA_ARRAY3D_DEPTH_TEXTURE 0x10
#define CUDA_ARRAY3D_LAYERED 0x01
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
#define CUDA_ARRAY3D_TEXTURE_GATHER 0x08
#define CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_POST_LAUNCH_SYNC 0x02
#define CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_PRE_LAUNCH_SYNC 0x01
#define CUDA_VERSION 9010
#define MAX_PLANES 3
Typedefs
typedef struct CUarray_st * CUarray
typedef struct CUctx_st * CUcontext
typedef int CUdevice
typedef unsigned int CUdeviceptr
typedef struct CUeglStreamConnection_st * CUeglStreamConnection
typedef struct CUevent_st * CUevent
typedef struct CUfunc_st * CUfunction
typedef struct CUgraphicsResource_st * CUgraphicsResource
typedef struct CUmipmappedArray_st * CUmipmappedArray
typedef struct CUmod_st * CUmodule
typedef size_t(CUDA_CB * CUoccupancyB2DSize )(int blockSize)
typedef struct CUstream_st * CUstream
typedef void(CUDA_CB * CUstreamCallback )(CUstream hStream, CUresult status, void
*userData)
typedef unsigned long long CUsurfObject
typedef struct CUsurfref_st * CUsurfref
typedef unsigned long long CUtexObject
typedef struct CUtexref_st * CUtexref
Enumerations
enum CUaddress_mode { CU_TR_ADDRESS_MODE_WRAP = 0, CU_TR_ADDRESS_MODE_CLAMP = 1,
CU_TR_ADDRESS_MODE_MIRROR = 2, CU_TR_ADDRESS_MODE_BORDER = 3 }
enum CUarray_cubemap_face { CU_CUBEMAP_FACE_POSITIVE_X = 0x00, CU_CUBEMAP_FACE_NEGATIVE_X
= 0x01, CU_CUBEMAP_FACE_POSITIVE_Y = 0x02, CU_CUBEMAP_FACE_NEGATIVE_Y = 0x03,
CU_CUBEMAP_FACE_POSITIVE_Z = 0x04, CU_CUBEMAP_FACE_NEGATIVE_Z = 0x05 }
enum CUarray_format { CU_AD_FORMAT_UNSIGNED_INT8 = 0x01, CU_AD_FORMAT_UNSIGNED_INT16 =
0x02, CU_AD_FORMAT_UNSIGNED_INT32 = 0x03, CU_AD_FORMAT_SIGNED_INT8 = 0x08,
CU_AD_FORMAT_SIGNED_INT16 = 0x09, CU_AD_FORMAT_SIGNED_INT32 = 0x0a,
CU_AD_FORMAT_HALF = 0x10, CU_AD_FORMAT_FLOAT = 0x20 }
enum CUcomputemode { CU_COMPUTEMODE_DEFAULT = 0, CU_COMPUTEMODE_PROHIBITED = 2,
CU_COMPUTEMODE_EXCLUSIVE_PROCESS = 3 }
enum CUctx_flags { CU_CTX_SCHED_AUTO = 0x00, CU_CTX_SCHED_SPIN = 0x01,
CU_CTX_SCHED_YIELD = 0x02, CU_CTX_SCHED_BLOCKING_SYNC = 0x04, CU_CTX_BLOCKING_SYNC =
0x04, CU_CTX_MAP_HOST = 0x08, CU_CTX_LMEM_RESIZE_TO_MAX = 0x10 }
enum CUdevice_attribute { CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 1,
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X = 2, CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y = 3,
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z = 4, CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X = 5,
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y = 6, CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z = 7,
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK = 8,
CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK = 8,
CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY = 9, CU_DEVICE_ATTRIBUTE_WARP_SIZE = 10,
CU_DEVICE_ATTRIBUTE_MAX_PITCH = 11, CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK =
12, CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK = 12, CU_DEVICE_ATTRIBUTE_CLOCK_RATE =
13, CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT = 14, CU_DEVICE_ATTRIBUTE_GPU_OVERLAP =
15, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT = 16,
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT = 17, CU_DEVICE_ATTRIBUTE_INTEGRATED = 18,
CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY = 19, CU_DEVICE_ATTRIBUTE_COMPUTE_MODE = 20,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH = 21,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH = 22,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT = 23,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH = 24,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT = 25,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH = 26,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH = 27,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT = 28,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS = 29,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH = 27,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT = 28,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES = 29,
CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT = 30, CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS =
31, CU_DEVICE_ATTRIBUTE_ECC_ENABLED = 32, CU_DEVICE_ATTRIBUTE_PCI_BUS_ID = 33,
CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID = 34, CU_DEVICE_ATTRIBUTE_TCC_DRIVER = 35,
CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE = 36,
CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH = 37, CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE =
38, CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR = 39,
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT = 40, CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING =
41, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH = 42,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS = 43,
CU_DEVICE_ATTRIBUTE_CAN_TEX2D_GATHER = 44,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH = 45,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT = 46,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE = 47,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE = 48,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE = 49,
CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID = 50, CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT =
51, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH = 52,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH = 53,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS = 54,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH = 55,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH = 56,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT = 57,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH = 58,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT = 59,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH = 60,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH = 61,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS = 62,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH = 63,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT = 64,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS = 65,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH = 66,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH = 67,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS = 68,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH = 69,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH = 70,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT = 71,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH = 72,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH = 73,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT = 74,
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH = 77,
CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED = 78,
CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED = 79,
CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED = 80,
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR = 81,
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR = 82,
CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY = 83, CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD = 84,
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID = 85,
CU_DEVICE_ATTRIBUTE_HOST_NATIVE_ATOMIC_SUPPORTED = 86,
CU_DEVICE_ATTRIBUTE_SINGLE_TO_DOUBLE_PRECISION_PERF_RATIO = 87,
CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS = 88,
CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS = 89,
CU_DEVICE_ATTRIBUTE_COMPUTE_PREEMPTION_SUPPORTED = 90,
CU_DEVICE_ATTRIBUTE_CAN_USE_HOST_POINTER_FOR_REGISTERED_MEM = 91,
CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_MEM_OPS = 92,
CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS = 93,
CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR = 94,
CU_DEVICE_ATTRIBUTE_COOPERATIVE_LAUNCH = 95,
CU_DEVICE_ATTRIBUTE_COOPERATIVE_MULTI_DEVICE_LAUNCH = 96,
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN = 97 }
enum CUdevice_P2PAttribute { CU_DEVICE_P2P_ATTRIBUTE_PERFORMANCE_RANK = 0x01,
CU_DEVICE_P2P_ATTRIBUTE_ACCESS_SUPPORTED = 0x02,
CU_DEVICE_P2P_ATTRIBUTE_NATIVE_ATOMIC_SUPPORTED = 0x03 }
enum CUeglColorFormat { CU_EGL_COLOR_FORMAT_YUV420_PLANAR = 0x00,
CU_EGL_COLOR_FORMAT_YUV420_SEMIPLANAR = 0x01, CU_EGL_COLOR_FORMAT_YUV422_PLANAR =
0x02, CU_EGL_COLOR_FORMAT_YUV422_SEMIPLANAR = 0x03, CU_EGL_COLOR_FORMAT_RGB = 0x04,
CU_EGL_COLOR_FORMAT_BGR = 0x05, CU_EGL_COLOR_FORMAT_ARGB = 0x06,
CU_EGL_COLOR_FORMAT_RGBA = 0x07, CU_EGL_COLOR_FORMAT_L = 0x08, CU_EGL_COLOR_FORMAT_R
= 0x09, CU_EGL_COLOR_FORMAT_YUV444_PLANAR = 0x0A,
CU_EGL_COLOR_FORMAT_YUV444_SEMIPLANAR = 0x0B, CU_EGL_COLOR_FORMAT_YUYV_422 = 0x0C,
CU_EGL_COLOR_FORMAT_UYVY_422 = 0x0D, CU_EGL_COLOR_FORMAT_ABGR = 0x0E,
CU_EGL_COLOR_FORMAT_BGRA = 0x0F, CU_EGL_COLOR_FORMAT_A = 0x10,
CU_EGL_COLOR_FORMAT_RG = 0x11, CU_EGL_COLOR_FORMAT_AYUV = 0x12,
CU_EGL_COLOR_FORMAT_YVU444_SEMIPLANAR = 0x13, CU_EGL_COLOR_FORMAT_YVU422_SEMIPLANAR =
0x14, CU_EGL_COLOR_FORMAT_YVU420_SEMIPLANAR = 0x15,
CU_EGL_COLOR_FORMAT_Y10V10U10_444_SEMIPLANAR = 0x16,
CU_EGL_COLOR_FORMAT_Y10V10U10_420_SEMIPLANAR = 0x17,
CU_EGL_COLOR_FORMAT_Y12V12U12_444_SEMIPLANAR = 0x18,
CU_EGL_COLOR_FORMAT_Y12V12U12_420_SEMIPLANAR = 0x19, CU_EGL_COLOR_FORMAT_VYUY_ER =
0x1A, CU_EGL_COLOR_FORMAT_UYVY_ER = 0x1B, CU_EGL_COLOR_FORMAT_YUYV_ER = 0x1C,
CU_EGL_COLOR_FORMAT_YVYU_ER = 0x1D, CU_EGL_COLOR_FORMAT_YUV_ER = 0x1E,
CU_EGL_COLOR_FORMAT_YUVA_ER = 0x1F, CU_EGL_COLOR_FORMAT_AYUV_ER = 0x20,
CU_EGL_COLOR_FORMAT_YUV444_PLANAR_ER = 0x21, CU_EGL_COLOR_FORMAT_YUV422_PLANAR_ER =
0x22, CU_EGL_COLOR_FORMAT_YUV420_PLANAR_ER = 0x23,
CU_EGL_COLOR_FORMAT_YUV444_SEMIPLANAR_ER = 0x24,
CU_EGL_COLOR_FORMAT_YUV422_SEMIPLANAR_ER = 0x25,
CU_EGL_COLOR_FORMAT_YUV420_SEMIPLANAR_ER = 0x26, CU_EGL_COLOR_FORMAT_YVU444_PLANAR_ER
= 0x27, CU_EGL_COLOR_FORMAT_YVU422_PLANAR_ER = 0x28,
CU_EGL_COLOR_FORMAT_YVU420_PLANAR_ER = 0x29, CU_EGL_COLOR_FORMAT_YVU444_SEMIPLANAR_ER
= 0x2A, CU_EGL_COLOR_FORMAT_YVU422_SEMIPLANAR_ER = 0x2B,
CU_EGL_COLOR_FORMAT_YVU420_SEMIPLANAR_ER = 0x2C, CU_EGL_COLOR_FORMAT_BAYER_RGGB =
0x2D, CU_EGL_COLOR_FORMAT_BAYER_BGGR = 0x2E, CU_EGL_COLOR_FORMAT_BAYER_GRBG = 0x2F,
CU_EGL_COLOR_FORMAT_BAYER_GBRG = 0x30, CU_EGL_COLOR_FORMAT_BAYER10_RGGB = 0x31,
CU_EGL_COLOR_FORMAT_BAYER10_BGGR = 0x32, CU_EGL_COLOR_FORMAT_BAYER10_GRBG = 0x33,
CU_EGL_COLOR_FORMAT_BAYER10_GBRG = 0x34, CU_EGL_COLOR_FORMAT_BAYER12_RGGB = 0x35,
CU_EGL_COLOR_FORMAT_BAYER12_BGGR = 0x36, CU_EGL_COLOR_FORMAT_BAYER12_GRBG = 0x37,
CU_EGL_COLOR_FORMAT_BAYER12_GBRG = 0x38, CU_EGL_COLOR_FORMAT_BAYER14_RGGB = 0x39,
CU_EGL_COLOR_FORMAT_BAYER14_BGGR = 0x3A, CU_EGL_COLOR_FORMAT_BAYER14_GRBG = 0x3B,
CU_EGL_COLOR_FORMAT_BAYER14_GBRG = 0x3C, CU_EGL_COLOR_FORMAT_BAYER20_RGGB = 0x3D,
CU_EGL_COLOR_FORMAT_BAYER20_BGGR = 0x3E, CU_EGL_COLOR_FORMAT_BAYER20_GRBG = 0x3F,
CU_EGL_COLOR_FORMAT_BAYER20_GBRG = 0x40, CU_EGL_COLOR_FORMAT_YVU444_PLANAR = 0x41,
CU_EGL_COLOR_FORMAT_YVU422_PLANAR = 0x42, CU_EGL_COLOR_FORMAT_YVU420_PLANAR = 0x43 }
enum CUeglFrameType { CU_EGL_FRAME_TYPE_ARRAY = 0, CU_EGL_FRAME_TYPE_PITCH = 1 }
enum CUeglResourceLocationFlags { CU_EGL_RESOURCE_LOCATION_SYSMEM = 0x00,
CU_EGL_RESOURCE_LOCATION_VIDMEM = 0x01 }
enum CUevent_flags { CU_EVENT_DEFAULT = 0x0, CU_EVENT_BLOCKING_SYNC = 0x1,
CU_EVENT_DISABLE_TIMING = 0x2, CU_EVENT_INTERPROCESS = 0x4 }
enum CUfilter_mode { CU_TR_FILTER_MODE_POINT = 0, CU_TR_FILTER_MODE_LINEAR = 1 }
enum CUfunc_cache { CU_FUNC_CACHE_PREFER_NONE = 0x00, CU_FUNC_CACHE_PREFER_SHARED =
0x01, CU_FUNC_CACHE_PREFER_L1 = 0x02, CU_FUNC_CACHE_PREFER_EQUAL = 0x03 }
enum CUfunction_attribute { CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 0,
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES = 1, CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES = 2,
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES = 3, CU_FUNC_ATTRIBUTE_NUM_REGS = 4,
CU_FUNC_ATTRIBUTE_PTX_VERSION = 5, CU_FUNC_ATTRIBUTE_BINARY_VERSION = 6,
CU_FUNC_ATTRIBUTE_CACHE_MODE_CA = 7, CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES
= 8, CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT = 9 }
enum CUgraphicsMapResourceFlags
enum CUgraphicsRegisterFlags
enum CUipcMem_flags { CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS = 0x1 }
enum CUjit_cacheMode { CU_JIT_CACHE_OPTION_NONE = 0, CU_JIT_CACHE_OPTION_CG,
CU_JIT_CACHE_OPTION_CA }
enum CUjit_fallback { CU_PREFER_PTX = 0, CU_PREFER_BINARY }
enum CUjit_option { CU_JIT_MAX_REGISTERS = 0, CU_JIT_THREADS_PER_BLOCK, CU_JIT_WALL_TIME,
CU_JIT_INFO_LOG_BUFFER, CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES, CU_JIT_ERROR_LOG_BUFFER,
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES, CU_JIT_OPTIMIZATION_LEVEL,
CU_JIT_TARGET_FROM_CUCONTEXT, CU_JIT_TARGET, CU_JIT_FALLBACK_STRATEGY,
CU_JIT_GENERATE_DEBUG_INFO, CU_JIT_LOG_VERBOSE, CU_JIT_GENERATE_LINE_INFO,
CU_JIT_CACHE_MODE, CU_JIT_NEW_SM3X_OPT }
enum CUjit_target { CU_TARGET_COMPUTE_20 = 20, CU_TARGET_COMPUTE_21 = 21,
CU_TARGET_COMPUTE_30 = 30, CU_TARGET_COMPUTE_32 = 32, CU_TARGET_COMPUTE_35 = 35,
CU_TARGET_COMPUTE_37 = 37, CU_TARGET_COMPUTE_50 = 50, CU_TARGET_COMPUTE_52 = 52,
CU_TARGET_COMPUTE_53 = 53, CU_TARGET_COMPUTE_60 = 60, CU_TARGET_COMPUTE_61 = 61,
CU_TARGET_COMPUTE_62 = 62, CU_TARGET_COMPUTE_70 = 70, CU_TARGET_COMPUTE_73 = 73,
CU_TARGET_COMPUTE_75 = 75 }
enum CUjitInputType { CU_JIT_INPUT_CUBIN = 0, CU_JIT_INPUT_PTX, CU_JIT_INPUT_FATBINARY,
CU_JIT_INPUT_OBJECT, CU_JIT_INPUT_LIBRARY }
enum CUlimit { CU_LIMIT_STACK_SIZE = 0x00, CU_LIMIT_PRINTF_FIFO_SIZE = 0x01,
CU_LIMIT_MALLOC_HEAP_SIZE = 0x02, CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH = 0x03,
CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT = 0x04 }
enum CUmem_advise { CU_MEM_ADVISE_SET_READ_MOSTLY = 1, CU_MEM_ADVISE_UNSET_READ_MOSTLY =
2, CU_MEM_ADVISE_SET_PREFERRED_LOCATION = 3, CU_MEM_ADVISE_UNSET_PREFERRED_LOCATION =
4, CU_MEM_ADVISE_SET_ACCESSED_BY = 5, CU_MEM_ADVISE_UNSET_ACCESSED_BY = 6 }
enum CUmem_range_attribute { CU_MEM_RANGE_ATTRIBUTE_READ_MOSTLY = 1,
CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION = 2, CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY =
3, CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION = 4 }
enum CUmemAttach_flags { CU_MEM_ATTACH_GLOBAL = 0x1, CU_MEM_ATTACH_HOST = 0x2,
CU_MEM_ATTACH_SINGLE = 0x4 }
enum CUmemorytype { CU_MEMORYTYPE_HOST = 0x01, CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03, CU_MEMORYTYPE_UNIFIED = 0x04 }
enum CUoccupancy_flags { CU_OCCUPANCY_DEFAULT = 0x0,
CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE = 0x1 }
enum CUpointer_attribute { CU_POINTER_ATTRIBUTE_CONTEXT = 1,
CU_POINTER_ATTRIBUTE_MEMORY_TYPE = 2, CU_POINTER_ATTRIBUTE_DEVICE_POINTER = 3,
CU_POINTER_ATTRIBUTE_HOST_POINTER = 4, CU_POINTER_ATTRIBUTE_P2P_TOKENS = 5,
CU_POINTER_ATTRIBUTE_SYNC_MEMOPS = 6, CU_POINTER_ATTRIBUTE_BUFFER_ID = 7,
CU_POINTER_ATTRIBUTE_IS_MANAGED = 8 }
enum CUresourcetype { CU_RESOURCE_TYPE_ARRAY = 0x00, CU_RESOURCE_TYPE_MIPMAPPED_ARRAY =
0x01, CU_RESOURCE_TYPE_LINEAR = 0x02, CU_RESOURCE_TYPE_PITCH2D = 0x03 }
enum CUresourceViewFormat { CU_RES_VIEW_FORMAT_NONE = 0x00, CU_RES_VIEW_FORMAT_UINT_1X8 =
0x01, CU_RES_VIEW_FORMAT_UINT_2X8 = 0x02, CU_RES_VIEW_FORMAT_UINT_4X8 = 0x03,
CU_RES_VIEW_FORMAT_SINT_1X8 = 0x04, CU_RES_VIEW_FORMAT_SINT_2X8 = 0x05,
CU_RES_VIEW_FORMAT_SINT_4X8 = 0x06, CU_RES_VIEW_FORMAT_UINT_1X16 = 0x07,
CU_RES_VIEW_FORMAT_UINT_2X16 = 0x08, CU_RES_VIEW_FORMAT_UINT_4X16 = 0x09,
CU_RES_VIEW_FORMAT_SINT_1X16 = 0x0a, CU_RES_VIEW_FORMAT_SINT_2X16 = 0x0b,
CU_RES_VIEW_FORMAT_SINT_4X16 = 0x0c, CU_RES_VIEW_FORMAT_UINT_1X32 = 0x0d,
CU_RES_VIEW_FORMAT_UINT_2X32 = 0x0e, CU_RES_VIEW_FORMAT_UINT_4X32 = 0x0f,
CU_RES_VIEW_FORMAT_SINT_1X32 = 0x10, CU_RES_VIEW_FORMAT_SINT_2X32 = 0x11,
CU_RES_VIEW_FORMAT_SINT_4X32 = 0x12, CU_RES_VIEW_FORMAT_FLOAT_1X16 = 0x13,
CU_RES_VIEW_FORMAT_FLOAT_2X16 = 0x14, CU_RES_VIEW_FORMAT_FLOAT_4X16 = 0x15,
CU_RES_VIEW_FORMAT_FLOAT_1X32 = 0x16, CU_RES_VIEW_FORMAT_FLOAT_2X32 = 0x17,
CU_RES_VIEW_FORMAT_FLOAT_4X32 = 0x18, CU_RES_VIEW_FORMAT_UNSIGNED_BC1 = 0x19,
CU_RES_VIEW_FORMAT_UNSIGNED_BC2 = 0x1a, CU_RES_VIEW_FORMAT_UNSIGNED_BC3 = 0x1b,
CU_RES_VIEW_FORMAT_UNSIGNED_BC4 = 0x1c, CU_RES_VIEW_FORMAT_SIGNED_BC4 = 0x1d,
CU_RES_VIEW_FORMAT_UNSIGNED_BC5 = 0x1e, CU_RES_VIEW_FORMAT_SIGNED_BC5 = 0x1f,
CU_RES_VIEW_FORMAT_UNSIGNED_BC6H = 0x20, CU_RES_VIEW_FORMAT_SIGNED_BC6H = 0x21,
CU_RES_VIEW_FORMAT_UNSIGNED_BC7 = 0x22 }
enum CUresult { CUDA_SUCCESS = 0, CUDA_ERROR_INVALID_VALUE = 1, CUDA_ERROR_OUT_OF_MEMORY
= 2, CUDA_ERROR_NOT_INITIALIZED = 3, CUDA_ERROR_DEINITIALIZED = 4,
CUDA_ERROR_PROFILER_DISABLED = 5, CUDA_ERROR_PROFILER_NOT_INITIALIZED = 6,
CUDA_ERROR_PROFILER_ALREADY_STARTED = 7, CUDA_ERROR_PROFILER_ALREADY_STOPPED = 8,
CUDA_ERROR_NO_DEVICE = 100, CUDA_ERROR_INVALID_DEVICE = 101,
CUDA_ERROR_INVALID_IMAGE = 200, CUDA_ERROR_INVALID_CONTEXT = 201,
CUDA_ERROR_CONTEXT_ALREADY_CURRENT = 202, CUDA_ERROR_MAP_FAILED = 205,
CUDA_ERROR_UNMAP_FAILED = 206, CUDA_ERROR_ARRAY_IS_MAPPED = 207,
CUDA_ERROR_ALREADY_MAPPED = 208, CUDA_ERROR_NO_BINARY_FOR_GPU = 209,
CUDA_ERROR_ALREADY_ACQUIRED = 210, CUDA_ERROR_NOT_MAPPED = 211,
CUDA_ERROR_NOT_MAPPED_AS_ARRAY = 212, CUDA_ERROR_NOT_MAPPED_AS_POINTER = 213,
CUDA_ERROR_ECC_UNCORRECTABLE = 214, CUDA_ERROR_UNSUPPORTED_LIMIT = 215,
CUDA_ERROR_CONTEXT_ALREADY_IN_USE = 216, CUDA_ERROR_PEER_ACCESS_UNSUPPORTED = 217,
CUDA_ERROR_INVALID_PTX = 218, CUDA_ERROR_INVALID_GRAPHICS_CONTEXT = 219,
CUDA_ERROR_NVLINK_UNCORRECTABLE = 220, CUDA_ERROR_JIT_COMPILER_NOT_FOUND = 221,
CUDA_ERROR_INVALID_SOURCE = 300, CUDA_ERROR_FILE_NOT_FOUND = 301,
CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND = 302, CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
= 303, CUDA_ERROR_OPERATING_SYSTEM = 304, CUDA_ERROR_INVALID_HANDLE = 400,
CUDA_ERROR_NOT_FOUND = 500, CUDA_ERROR_NOT_READY = 600, CUDA_ERROR_ILLEGAL_ADDRESS =
700, CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES = 701, CUDA_ERROR_LAUNCH_TIMEOUT = 702,
CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING = 703,
CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED = 704, CUDA_ERROR_PEER_ACCESS_NOT_ENABLED =
705, CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE = 708, CUDA_ERROR_CONTEXT_IS_DESTROYED = 709,
CUDA_ERROR_ASSERT = 710, CUDA_ERROR_TOO_MANY_PEERS = 711,
CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED = 712,
CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED = 713, CUDA_ERROR_HARDWARE_STACK_ERROR = 714,
CUDA_ERROR_ILLEGAL_INSTRUCTION = 715, CUDA_ERROR_MISALIGNED_ADDRESS = 716,
CUDA_ERROR_INVALID_ADDRESS_SPACE = 717, CUDA_ERROR_INVALID_PC = 718,
CUDA_ERROR_LAUNCH_FAILED = 719, CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE = 720,
CUDA_ERROR_NOT_PERMITTED = 800, CUDA_ERROR_NOT_SUPPORTED = 801, CUDA_ERROR_UNKNOWN =
999 }
enum CUshared_carveout { , CU_SHAREDMEM_CARVEOUT_MAX_SHARED = 100,
CU_SHAREDMEM_CARVEOUT_MAX_L1 = 0 }
enum CUsharedconfig { CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE = 0x00,
CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE = 0x01,
CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE = 0x02 }
enum CUstream_flags { CU_STREAM_DEFAULT = 0x0, CU_STREAM_NON_BLOCKING = 0x1 }
enum CUstreamBatchMemOpType { CU_STREAM_MEM_OP_WAIT_VALUE_32 = 1,
CU_STREAM_MEM_OP_WRITE_VALUE_32 = 2, CU_STREAM_MEM_OP_WAIT_VALUE_64 = 4,
CU_STREAM_MEM_OP_WRITE_VALUE_64 = 5, CU_STREAM_MEM_OP_FLUSH_REMOTE_WRITES = 3 }
enum CUstreamWaitValue_flags { CU_STREAM_WAIT_VALUE_GEQ = 0x0, CU_STREAM_WAIT_VALUE_EQ =
0x1, CU_STREAM_WAIT_VALUE_AND = 0x2, CU_STREAM_WAIT_VALUE_NOR = 0x3,
CU_STREAM_WAIT_VALUE_FLUSH = 1<<30 }
enum CUstreamWriteValue_flags { CU_STREAM_WRITE_VALUE_DEFAULT = 0x0,
CU_STREAM_WRITE_VALUE_NO_MEMORY_BARRIER = 0x1 }
Define Documentation
#define CU_DEVICE_CPU ((CUdevice)-1)
Device that represents the CPU
#define CU_DEVICE_INVALID ((CUdevice)-2)
Device that represents an invalid device
#define CU_IPC_HANDLE_SIZE 64
CUDA IPC handle size
#define CU_LAUNCH_PARAM_BUFFER_POINTER ((void*)0x01)
Indicator that the next value in the extra parameter to cuLaunchKernel will be a pointer
to a buffer containing all kernel parameters used for launching kernel f. This buffer
needs to honor all alignment/padding requirements of the individual parameters. If
CU_LAUNCH_PARAM_BUFFER_SIZE is not also specified in the extra array, then
CU_LAUNCH_PARAM_BUFFER_POINTER will have no effect.
#define CU_LAUNCH_PARAM_BUFFER_SIZE ((void*)0x02)
Indicator that the next value in the extra parameter to cuLaunchKernel will be a pointer
to a size_t which contains the size of the buffer specified with
CU_LAUNCH_PARAM_BUFFER_POINTER. It is required that CU_LAUNCH_PARAM_BUFFER_POINTER also be
specified in the extra array if the value associated with CU_LAUNCH_PARAM_BUFFER_SIZE is
not zero.
#define CU_LAUNCH_PARAM_END ((void*)0x00)
End of array terminator for the extra parameter to cuLaunchKernel
#define CU_MEMHOSTALLOC_DEVICEMAP 0x02
If set, host memory is mapped into CUDA address space and cuMemHostGetDevicePointer() may
be called on the host pointer. Flag for cuMemHostAlloc()
#define CU_MEMHOSTALLOC_PORTABLE 0x01
If set, host memory is portable between CUDA contexts. Flag for cuMemHostAlloc()
#define CU_MEMHOSTALLOC_WRITECOMBINED 0x04
If set, host memory is allocated as write-combined - fast to write, faster to DMA, slow to
read except via SSE4 streaming load instruction (MOVNTDQA). Flag for cuMemHostAlloc()
#define CU_MEMHOSTREGISTER_DEVICEMAP 0x02
If set, host memory is mapped into CUDA address space and cuMemHostGetDevicePointer() may
be called on the host pointer. Flag for cuMemHostRegister()
#define CU_MEMHOSTREGISTER_IOMEMORY 0x04
If set, the passed memory pointer is treated as pointing to some memory-mapped I/O space,
e.g. belonging to a third-party PCIe device. On Windows the flag is a no-op. On Linux that
memory is marked as non cache-coherent for the GPU and is expected to be physically
contiguous. It may return CUDA_ERROR_NOT_PERMITTED if run as an unprivileged user,
CUDA_ERROR_NOT_SUPPORTED on older Linux kernel versions. On all other platforms, it is not
supported and CUDA_ERROR_NOT_SUPPORTED is returned. Flag for cuMemHostRegister()
#define CU_MEMHOSTREGISTER_PORTABLE 0x01
If set, host memory is portable between CUDA contexts. Flag for cuMemHostRegister()
#define CU_PARAM_TR_DEFAULT -1
For texture references loaded into the module, use default texunit from texture reference.
#define CU_STREAM_LEGACY ((CUstream)0x1)
Legacy stream handle
Stream handle that can be passed as a CUstream to use an implicit stream with legacy
synchronization behavior.
See details of the .
#define CU_STREAM_PER_THREAD ((CUstream)0x2)
Per-thread stream handle
Stream handle that can be passed as a CUstream to use an implicit stream with per-thread
synchronization behavior.
See details of the .
#define CU_TRSA_OVERRIDE_FORMAT 0x01
Override the texref format with a format inferred from the array. Flag for
cuTexRefSetArray()
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
Use normalized texture coordinates in the range [0,1) instead of [0,dim). Flag for
cuTexRefSetFlags()
#define CU_TRSF_READ_AS_INTEGER 0x01
Read the texture as integers rather than promoting the values to floats in the range
[0,1]. Flag for cuTexRefSetFlags()
#define CU_TRSF_SRGB 0x10
Perform sRGB->linear conversion during texture read. Flag for cuTexRefSetFlags()
#define CUDA_ARRAY3D_2DARRAY 0x01
Deprecated, use CUDA_ARRAY3D_LAYERED
#define CUDA_ARRAY3D_CUBEMAP 0x04
If set, the CUDA array is a collection of six 2D arrays, representing faces of a cube. The
width of such a CUDA array must be equal to its height, and Depth must be six. If
CUDA_ARRAY3D_LAYERED flag is also set, then the CUDA array is a collection of cubemaps and
Depth must be a multiple of six.
#define CUDA_ARRAY3D_DEPTH_TEXTURE 0x10
This flag if set indicates that the CUDA array is a DEPTH_TEXTURE.
#define CUDA_ARRAY3D_LAYERED 0x01
If set, the CUDA array is a collection of layers, where each layer is either a 1D or a 2D
array and the Depth member of CUDA_ARRAY3D_DESCRIPTOR specifies the number of layers, not
the depth of a 3D array.
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
This flag must be set in order to bind a surface reference to the CUDA array
#define CUDA_ARRAY3D_TEXTURE_GATHER 0x08
This flag must be set in order to perform texture gather operations on a CUDA array.
#define CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_POST_LAUNCH_SYNC 0x02
If set, any subsequent work pushed in a stream that participated in a call to
cuLaunchCooperativeKernelMultiDevice will only wait for the kernel launched on the GPU
corresponding to that stream to complete before it begins execution.
#define CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_PRE_LAUNCH_SYNC 0x01
If set, each kernel launched as part of cuLaunchCooperativeKernelMultiDevice only waits
for prior work in the stream corresponding to that GPU to complete before the kernel
begins execution.
#define CUDA_VERSION 9010
CUDA API version number
#define MAX_PLANES 3
Maximum number of planes per frame
Typedef Documentation
typedef struct CUarray_st* CUarray
CUDA array
typedef struct CUctx_st* CUcontext
CUDA context
typedef int CUdevice
CUDA device
typedef unsigned int CUdeviceptr
CUDA device pointer CUdeviceptr is defined as an unsigned integer type whose size matches
the size of a pointer on the target platform.
typedef struct CUeglStreamConnection_st* CUeglStreamConnection
CUDA EGLSream Connection
typedef struct CUevent_st* CUevent
CUDA event
typedef struct CUfunc_st* CUfunction
CUDA function
typedef struct CUgraphicsResource_st* CUgraphicsResource
CUDA graphics interop resource
typedef struct CUmipmappedArray_st* CUmipmappedArray
CUDA mipmapped array
typedef struct CUmod_st* CUmodule
CUDA module
typedef size_t(CUDA_CB * CUoccupancyB2DSize)(int blockSize)
Block size to per-block dynamic shared memory mapping for a certain kernel
Parameters:
blockSize Block size of the kernel.
Returns:
The dynamic shared memory needed by a block.
typedef struct CUstream_st* CUstream
CUDA stream
typedef void(CUDA_CB * CUstreamCallback)(CUstream hStream, CUresult status, void *userData)
CUDA stream callback
Parameters:
hStream The stream the callback was added to, as passed to cuStreamAddCallback. May be
NULL.
status CUDA_SUCCESS or any persistent error on the stream.
userData User parameter provided at registration.
typedef unsigned long long CUsurfObject
An opaque value that represents a CUDA surface object
typedef struct CUsurfref_st* CUsurfref
CUDA surface reference
typedef unsigned long long CUtexObject
An opaque value that represents a CUDA texture object
typedef struct CUtexref_st* CUtexref
CUDA texture reference
Enumeration Type Documentation
enum CUaddress_mode
Texture reference addressing modes
Enumerator:
CU_TR_ADDRESS_MODE_WRAP
Wrapping address mode
CU_TR_ADDRESS_MODE_CLAMP
Clamp to edge address mode
CU_TR_ADDRESS_MODE_MIRROR
Mirror address mode
CU_TR_ADDRESS_MODE_BORDER
Border address mode
enum CUarray_cubemap_face
Array indices for cube faces
Enumerator:
CU_CUBEMAP_FACE_POSITIVE_X
Positive X face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_X
Negative X face of cubemap
CU_CUBEMAP_FACE_POSITIVE_Y
Positive Y face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_Y
Negative Y face of cubemap
CU_CUBEMAP_FACE_POSITIVE_Z
Positive Z face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_Z
Negative Z face of cubemap
enum CUarray_format
Array formats
Enumerator:
CU_AD_FORMAT_UNSIGNED_INT8
Unsigned 8-bit integers
CU_AD_FORMAT_UNSIGNED_INT16
Unsigned 16-bit integers
CU_AD_FORMAT_UNSIGNED_INT32
Unsigned 32-bit integers
CU_AD_FORMAT_SIGNED_INT8
Signed 8-bit integers
CU_AD_FORMAT_SIGNED_INT16
Signed 16-bit integers
CU_AD_FORMAT_SIGNED_INT32
Signed 32-bit integers
CU_AD_FORMAT_HALF
16-bit floating point
CU_AD_FORMAT_FLOAT
32-bit floating point
enum CUcomputemode
Compute Modes
Enumerator:
CU_COMPUTEMODE_DEFAULT
Default compute mode (Multiple contexts allowed per device)
CU_COMPUTEMODE_PROHIBITED
Compute-prohibited mode (No contexts can be created on this device at this time)
CU_COMPUTEMODE_EXCLUSIVE_PROCESS
Compute-exclusive-process mode (Only one context used by a single process can be
present on this device at a time)
enum CUctx_flags
Context creation flags
Enumerator:
CU_CTX_SCHED_AUTO
Automatic scheduling
CU_CTX_SCHED_SPIN
Set spin as default scheduling
CU_CTX_SCHED_YIELD
Set yield as default scheduling
CU_CTX_SCHED_BLOCKING_SYNC
Set blocking synchronization as default scheduling
CU_CTX_BLOCKING_SYNC
Set blocking synchronization as default scheduling
Deprecated
This flag was deprecated as of CUDA 4.0 and was replaced with
CU_CTX_SCHED_BLOCKING_SYNC.
CU_CTX_MAP_HOST
Support mapped pinned allocations
CU_CTX_LMEM_RESIZE_TO_MAX
Keep local memory allocation after launch
enum CUdevice_attribute
Device properties
Enumerator:
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK
Maximum number of threads per block
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X
Maximum block dimension X
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y
Maximum block dimension Y
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z
Maximum block dimension Z
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X
Maximum grid dimension X
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y
Maximum grid dimension Y
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z
Maximum grid dimension Z
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK
Maximum shared memory available per block in bytes
CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK
Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK
CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY
Memory available on device for __constant__ variables in a CUDA C kernel in bytes
CU_DEVICE_ATTRIBUTE_WARP_SIZE
Warp size in threads
CU_DEVICE_ATTRIBUTE_MAX_PITCH
Maximum pitch in bytes allowed by memory copies
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK
Maximum number of 32-bit registers available per block
CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK
Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK
CU_DEVICE_ATTRIBUTE_CLOCK_RATE
Typical clock frequency in kilohertz
CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT
Alignment requirement for textures
CU_DEVICE_ATTRIBUTE_GPU_OVERLAP
Device can possibly copy memory and execute a kernel concurrently. Deprecated. Use
instead CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT.
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT
Number of multiprocessors on device
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT
Specifies whether there is a run time limit on kernels
CU_DEVICE_ATTRIBUTE_INTEGRATED
Device is integrated with host memory
CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY
Device can map host memory into CUDA address space
CU_DEVICE_ATTRIBUTE_COMPUTE_MODE
Compute mode (See CUcomputemode for details)
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH
Maximum 1D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH
Maximum 2D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT
Maximum 2D texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH
Maximum 3D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT
Maximum 3D texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH
Maximum 3D texture depth
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH
Maximum 2D layered texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT
Maximum 2D layered texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS
Maximum layers in a 2D layered texture
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS
CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT
Alignment requirement for surfaces
CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS
Device can possibly execute multiple kernels concurrently
CU_DEVICE_ATTRIBUTE_ECC_ENABLED
Device has ECC support enabled
CU_DEVICE_ATTRIBUTE_PCI_BUS_ID
PCI bus ID of the device
CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID
PCI device ID of the device
CU_DEVICE_ATTRIBUTE_TCC_DRIVER
Device is using TCC driver model
CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE
Peak memory clock frequency in kilohertz
CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH
Global memory bus width in bits
CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE
Size of L2 cache in bytes
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR
Maximum resident threads per multiprocessor
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT
Number of asynchronous engines
CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING
Device shares a unified address space with the host
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH
Maximum 1D layered texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS
Maximum layers in a 1D layered texture
CU_DEVICE_ATTRIBUTE_CAN_TEX2D_GATHER
Deprecated, do not use.
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH
Maximum 2D texture width if CUDA_ARRAY3D_TEXTURE_GATHER is set
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT
Maximum 2D texture height if CUDA_ARRAY3D_TEXTURE_GATHER is set
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE
Alternate maximum 3D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE
Alternate maximum 3D texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE
Alternate maximum 3D texture depth
CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID
PCI domain ID of the device
CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT
Pitch alignment requirement for textures
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH
Maximum cubemap texture width/height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH
Maximum cubemap layered texture width/height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS
Maximum layers in a cubemap layered texture
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH
Maximum 1D surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH
Maximum 2D surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT
Maximum 2D surface height
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH
Maximum 3D surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT
Maximum 3D surface height
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH
Maximum 3D surface depth
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH
Maximum 1D layered surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS
Maximum layers in a 1D layered surface
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH
Maximum 2D layered surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT
Maximum 2D layered surface height
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS
Maximum layers in a 2D layered surface
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH
Maximum cubemap surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH
Maximum cubemap layered surface width
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS
Maximum layers in a cubemap layered surface
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH
Maximum 1D linear texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH
Maximum 2D linear texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT
Maximum 2D linear texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH
Maximum 2D linear texture pitch in bytes
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH
Maximum mipmapped 2D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT
Maximum mipmapped 2D texture height
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR
Major compute capability version number
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR
Minor compute capability version number
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH
Maximum mipmapped 1D texture width
CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED
Device supports stream priorities
CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED
Device supports caching globals in L1
CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED
Device supports caching locals in L1
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR
Maximum shared memory available per multiprocessor in bytes
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR
Maximum number of 32-bit registers available per multiprocessor
CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY
Device can allocate managed memory on this system
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD
Device is on a multi-GPU board
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID
Unique id for a group of devices on the same multi-GPU board
CU_DEVICE_ATTRIBUTE_HOST_NATIVE_ATOMIC_SUPPORTED
Link between the device and the host supports native atomic operations (this is a
placeholder attribute, and is not supported on any current hardware)
CU_DEVICE_ATTRIBUTE_SINGLE_TO_DOUBLE_PRECISION_PERF_RATIO
Ratio of single precision performance (in floating-point operations per second) to
double precision performance
CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS
Device supports coherently accessing pageable memory without calling
cudaHostRegister on it
CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS
Device can coherently access managed memory concurrently with the CPU
CU_DEVICE_ATTRIBUTE_COMPUTE_PREEMPTION_SUPPORTED
Device supports compute preemption.
CU_DEVICE_ATTRIBUTE_CAN_USE_HOST_POINTER_FOR_REGISTERED_MEM
Device can access host registered memory at the same virtual address as the CPU
CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_MEM_OPS
cuStreamBatchMemOp and related APIs are supported.
CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS
64-bit operations are supported in cuStreamBatchMemOp and related APIs.
CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR
CU_STREAM_WAIT_VALUE_NOR is supported.
CU_DEVICE_ATTRIBUTE_COOPERATIVE_LAUNCH
Device supports launching cooperative kernels via cuLaunchCooperativeKernel
CU_DEVICE_ATTRIBUTE_COOPERATIVE_MULTI_DEVICE_LAUNCH
Device can participate in cooperative kernels launched via
cuLaunchCooperativeKernelMultiDevice
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN
Maximum optin shared memory per block
enum CUdevice_P2PAttribute
P2P Attributes
Enumerator:
CU_DEVICE_P2P_ATTRIBUTE_PERFORMANCE_RANK
A relative value indicating the performance of the link between two devices
CU_DEVICE_P2P_ATTRIBUTE_ACCESS_SUPPORTED
P2P Access is enable
CU_DEVICE_P2P_ATTRIBUTE_NATIVE_ATOMIC_SUPPORTED
Atomic operation over the link supported
enum CUeglColorFormat
CUDA EGL Color Format - The different planar and multiplanar formats currently supported
for CUDA_EGL interops.
Enumerator:
CU_EGL_COLOR_FORMAT_YUV420_PLANAR
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.
CU_EGL_COLOR_FORMAT_YUV420_SEMIPLANAR
Y, UV in two surfaces (UV as one surface), width, height ratio same as
YUV420Planar.
CU_EGL_COLOR_FORMAT_YUV422_PLANAR
Y, U, V each in a separate surface, U/V width = 1/2 Y width, U/V height = Y height.
CU_EGL_COLOR_FORMAT_YUV422_SEMIPLANAR
Y, UV in two surfaces, width, height ratio same as YUV422Planar.
CU_EGL_COLOR_FORMAT_RGB
R/G/B three channels in one surface with RGB byte ordering.
CU_EGL_COLOR_FORMAT_BGR
R/G/B three channels in one surface with BGR byte ordering.
CU_EGL_COLOR_FORMAT_ARGB
R/G/B/A four channels in one surface with ARGB byte ordering.
CU_EGL_COLOR_FORMAT_RGBA
R/G/B/A four channels in one surface with RGBA byte ordering.
CU_EGL_COLOR_FORMAT_L
single luminance channel in one surface.
CU_EGL_COLOR_FORMAT_R
single color channel in one surface.
CU_EGL_COLOR_FORMAT_YUV444_PLANAR
Y, U, V in three surfaces, each in a separate surface, U/V width = Y width, U/V
height = Y height.
CU_EGL_COLOR_FORMAT_YUV444_SEMIPLANAR
Y, UV in two surfaces (UV as one surface), width, height ratio same as
YUV444Planar.
CU_EGL_COLOR_FORMAT_YUYV_422
Y, U, V in one surface, interleaved as YUYV.
CU_EGL_COLOR_FORMAT_UYVY_422
Y, U, V in one surface, interleaved as UYVY.
CU_EGL_COLOR_FORMAT_ABGR
R/G/B/A four channels in one surface with ABGR byte ordering.
CU_EGL_COLOR_FORMAT_BGRA
R/G/B/A four channels in one surface with BGRA byte ordering.
CU_EGL_COLOR_FORMAT_A
Alpha color format - one channel in one surface.
CU_EGL_COLOR_FORMAT_RG
R/G color format - two channels in one surface with RG byte ordering
CU_EGL_COLOR_FORMAT_AYUV
Y, U, V, A four channels in one surface, interleaved as AYUV.
CU_EGL_COLOR_FORMAT_YVU444_SEMIPLANAR
Y, VU in two surfaces (VU as one surface), U/V width = Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YVU422_SEMIPLANAR
Y, VU in two surfaces (VU as one surface), U/V width = 1/2 Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YVU420_SEMIPLANAR
Y, VU in two surfaces (VU as one surface), U/V width = 1/2 Y width, U/V height =
1/2 Y height.
CU_EGL_COLOR_FORMAT_Y10V10U10_444_SEMIPLANAR
Y10, V10U10 in two surfaces (VU as one surface), U/V width = Y width, U/V height =
Y height.
CU_EGL_COLOR_FORMAT_Y10V10U10_420_SEMIPLANAR
Y10, V10U10 in two surfaces (VU as one surface), U/V width = 1/2 Y width, U/V
height = 1/2 Y height.
CU_EGL_COLOR_FORMAT_Y12V12U12_444_SEMIPLANAR
Y12, V12U12 in two surfaces (VU as one surface), U/V width = Y width, U/V height =
Y height.
CU_EGL_COLOR_FORMAT_Y12V12U12_420_SEMIPLANAR
Y12, V12U12 in two surfaces (VU as one surface), U/V width = 1/2 Y width, U/V
height = 1/2 Y height.
CU_EGL_COLOR_FORMAT_VYUY_ER
Extended Range Y, U, V in one surface, interleaved as VYUY.
CU_EGL_COLOR_FORMAT_UYVY_ER
Extended Range Y, U, V in one surface, interleaved as UYVY.
CU_EGL_COLOR_FORMAT_YUYV_ER
Extended Range Y, U, V in one surface, interleaved as YUYV.
CU_EGL_COLOR_FORMAT_YVYU_ER
Extended Range Y, U, V in one surface, interleaved as YVYU.
CU_EGL_COLOR_FORMAT_YUV_ER
Extended Range Y, U, V three channels in one surface, interleaved as YUV.
CU_EGL_COLOR_FORMAT_YUVA_ER
Extended Range Y, U, V, A four channels in one surface, interleaved as YUVA.
CU_EGL_COLOR_FORMAT_AYUV_ER
Extended Range Y, U, V, A four channels in one surface, interleaved as AYUV.
CU_EGL_COLOR_FORMAT_YUV444_PLANAR_ER
Extended Range Y, U, V in three surfaces, U/V width = Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YUV422_PLANAR_ER
Extended Range Y, U, V in three surfaces, U/V width = 1/2 Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YUV420_PLANAR_ER
Extended Range Y, U, V in three surfaces, U/V width = 1/2 Y width, U/V height = 1/2
Y height.
CU_EGL_COLOR_FORMAT_YUV444_SEMIPLANAR_ER
Extended Range Y, UV in two surfaces (UV as one surface), U/V width = Y width, U/V
height = Y height.
CU_EGL_COLOR_FORMAT_YUV422_SEMIPLANAR_ER
Extended Range Y, UV in two surfaces (UV as one surface), U/V width = 1/2 Y width,
U/V height = Y height.
CU_EGL_COLOR_FORMAT_YUV420_SEMIPLANAR_ER
Extended Range Y, UV in two surfaces (UV as one surface), U/V width = 1/2 Y width,
U/V height = 1/2 Y height.
CU_EGL_COLOR_FORMAT_YVU444_PLANAR_ER
Extended Range Y, V, U in three surfaces, U/V width = Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YVU422_PLANAR_ER
Extended Range Y, V, U in three surfaces, U/V width = 1/2 Y width, U/V height = Y
height.
CU_EGL_COLOR_FORMAT_YVU420_PLANAR_ER
Extended Range Y, V, U in three surfaces, U/V width = 1/2 Y width, U/V height = 1/2
Y height.
CU_EGL_COLOR_FORMAT_YVU444_SEMIPLANAR_ER
Extended Range Y, VU in two surfaces (VU as one surface), U/V width = Y width, U/V
height = Y height.
CU_EGL_COLOR_FORMAT_YVU422_SEMIPLANAR_ER
Extended Range Y, VU in two surfaces (VU as one surface), U/V width = 1/2 Y width,
U/V height = Y height.
CU_EGL_COLOR_FORMAT_YVU420_SEMIPLANAR_ER
Extended Range Y, VU in two surfaces (VU as one surface), U/V width = 1/2 Y width,
U/V height = 1/2 Y height.
CU_EGL_COLOR_FORMAT_BAYER_RGGB
Bayer format - one channel in one surface with interleaved RGGB ordering.
CU_EGL_COLOR_FORMAT_BAYER_BGGR
Bayer format - one channel in one surface with interleaved BGGR ordering.
CU_EGL_COLOR_FORMAT_BAYER_GRBG
Bayer format - one channel in one surface with interleaved GRBG ordering.
CU_EGL_COLOR_FORMAT_BAYER_GBRG
Bayer format - one channel in one surface with interleaved GBRG ordering.
CU_EGL_COLOR_FORMAT_BAYER10_RGGB
Bayer10 format - one channel in one surface with interleaved RGGB ordering. 10 bits
used 6 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER10_BGGR
Bayer10 format - one channel in one surface with interleaved BGGR ordering. 10 bits
used 6 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER10_GRBG
Bayer10 format - one channel in one surface with interleaved GRBG ordering. 10 bits
used 6 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER10_GBRG
Bayer10 format - one channel in one surface with interleaved GBRG ordering. 10 bits
used 6 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER12_RGGB
Bayer12 format - one channel in one surface with interleaved RGGB ordering. 12 bits
used 4 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER12_BGGR
Bayer12 format - one channel in one surface with interleaved BGGR ordering. 12 bits
used 4 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER12_GRBG
Bayer12 format - one channel in one surface with interleaved GRBG ordering. 12 bits
used 4 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER12_GBRG
Bayer12 format - one channel in one surface with interleaved GBRG ordering. 12 bits
used 4 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER14_RGGB
Bayer14 format - one channel in one surface with interleaved RGGB ordering. 14 bits
used 2 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER14_BGGR
Bayer14 format - one channel in one surface with interleaved BGGR ordering. 14 bits
used 2 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER14_GRBG
Bayer14 format - one channel in one surface with interleaved GRBG ordering. 14 bits
used 2 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER14_GBRG
Bayer14 format - one channel in one surface with interleaved GBRG ordering. 14 bits
used 2 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER20_RGGB
Bayer20 format - one channel in one surface with interleaved RGGB ordering. 20 bits
used 12 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER20_BGGR
Bayer20 format - one channel in one surface with interleaved BGGR ordering. 20 bits
used 12 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER20_GRBG
Bayer20 format - one channel in one surface with interleaved GRBG ordering. 20 bits
used 12 bits No-op.
CU_EGL_COLOR_FORMAT_BAYER20_GBRG
Bayer20 format - one channel in one surface with interleaved GBRG ordering. 20 bits
used 12 bits No-op.
CU_EGL_COLOR_FORMAT_YVU444_PLANAR
Y, V, U in three surfaces, each in a separate surface, U/V width = Y width, U/V
height = Y height.
CU_EGL_COLOR_FORMAT_YVU422_PLANAR
Y, V, U in three surfaces, each in a separate surface, U/V width = 1/2 Y width, U/V
height = Y height.
CU_EGL_COLOR_FORMAT_YVU420_PLANAR
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.
enum CUeglFrameType
CUDA EglFrame type - array or pointer
Enumerator:
CU_EGL_FRAME_TYPE_ARRAY
Frame type CUDA array
CU_EGL_FRAME_TYPE_PITCH
Frame type pointer
enum CUeglResourceLocationFlags
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 CUeglResourceLocationFlags to give
a hint about the desired location.
CU_EGL_RESOURCE_LOCATION_SYSMEM - the frame data is made resident on the system memory to
be accessed by CUDA.
CU_EGL_RESOURCE_LOCATION_VIDMEM - 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:
CU_EGL_RESOURCE_LOCATION_SYSMEM
Resource location sysmem
CU_EGL_RESOURCE_LOCATION_VIDMEM
Resource location vidmem
enum CUevent_flags
Event creation flags
Enumerator:
CU_EVENT_DEFAULT
Default event flag
CU_EVENT_BLOCKING_SYNC
Event uses blocking synchronization
CU_EVENT_DISABLE_TIMING
Event will not record timing data
CU_EVENT_INTERPROCESS
Event is suitable for interprocess use. CU_EVENT_DISABLE_TIMING must be set
enum CUfilter_mode
Texture reference filtering modes
Enumerator:
CU_TR_FILTER_MODE_POINT
Point filter mode
CU_TR_FILTER_MODE_LINEAR
Linear filter mode
enum CUfunc_cache
Function cache configurations
Enumerator:
CU_FUNC_CACHE_PREFER_NONE
no preference for shared memory or L1 (default)
CU_FUNC_CACHE_PREFER_SHARED
prefer larger shared memory and smaller L1 cache
CU_FUNC_CACHE_PREFER_L1
prefer larger L1 cache and smaller shared memory
CU_FUNC_CACHE_PREFER_EQUAL
prefer equal sized L1 cache and shared memory
enum CUfunction_attribute
Function properties
Enumerator:
CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK
The maximum number of threads per block, beyond which a launch of the function
would fail. This number depends on both the function and the device on which the
function is currently loaded.
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES
The size in bytes of statically-allocated shared memory required by this function.
This does not include dynamically-allocated shared memory requested by the user at
runtime.
CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES
The size in bytes of user-allocated constant memory required by this function.
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES
The size in bytes of local memory used by each thread of this function.
CU_FUNC_ATTRIBUTE_NUM_REGS
The number of registers used by each thread of this function.
CU_FUNC_ATTRIBUTE_PTX_VERSION
The PTX virtual architecture version for which the function was compiled. This
value is the major PTX version * 10 + the minor PTX version, so a PTX version 1.3
function would return the value 13. Note that this may return the undefined value
of 0 for cubins compiled prior to CUDA 3.0.
CU_FUNC_ATTRIBUTE_BINARY_VERSION
The binary architecture version for which the function was compiled. This value is
the major binary version * 10 + the minor binary version, so a binary version 1.3
function would return the value 13. Note that this will return a value of 10 for
legacy cubins that do not have a properly-encoded binary architecture version.
CU_FUNC_ATTRIBUTE_CACHE_MODE_CA
The attribute to indicate whether the function has been compiled with user
specified option '-Xptxas --dlcm=ca' set .
CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES
The maximum size in bytes of dynamically-allocated shared memory that can be used
by this function. If the user-specified dynamic shared memory size is larger than
this value, the launch will fail.
CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT
On devices where the L1 cache and shared memory use the same hardware resources,
this sets the shared memory carveout preference, in percent of the total resources.
This is only a hint, and the driver can choose a different ratio if required to
execute the function.
enum CUgraphicsMapResourceFlags
Flags for mapping and unmapping interop resources
enum CUgraphicsRegisterFlags
Flags to register a graphics resource
enum CUipcMem_flags
CUDA Ipc Mem Flags
Enumerator:
CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS
Automatically enable peer access between remote devices as needed
enum CUjit_cacheMode
Caching modes for dlcm
Enumerator:
CU_JIT_CACHE_OPTION_NONE
Compile with no -dlcm flag specified
CU_JIT_CACHE_OPTION_CG
Compile with L1 cache disabled
CU_JIT_CACHE_OPTION_CA
Compile with L1 cache enabled
enum CUjit_fallback
Cubin matching fallback strategies
Enumerator:
CU_PREFER_PTX
Prefer to compile ptx if exact binary match not found
CU_PREFER_BINARY
Prefer to fall back to compatible binary code if exact match not found
enum CUjit_option
Online compiler and linker options
Enumerator:
CU_JIT_MAX_REGISTERS
Max number of registers that a thread may use.
Option type: unsigned int
Applies to: compiler only
CU_JIT_THREADS_PER_BLOCK
IN: Specifies minimum number of threads per block to target compilation for
OUT: Returns the number of threads the compiler actually targeted. This restricts
the resource utilization fo the compiler (e.g. max registers) such that a block
with the given number of threads should be able to launch based on register
limitations. Note, this option does not currently take into account any other
resource limitations, such as shared memory utilization.
Cannot be combined with CU_JIT_TARGET.
Option type: unsigned int
Applies to: compiler only
CU_JIT_WALL_TIME
Overwrites the option value with the total wall clock time, in milliseconds, spent
in the compiler and linker
Option type: float
Applies to: compiler and linker
CU_JIT_INFO_LOG_BUFFER
Pointer to a buffer in which to print any log messages that are informational in
nature (the buffer size is specified via option CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES)
Option type: char *
Applies to: compiler and linker
CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES
IN: Log buffer size in bytes. Log messages will be capped at this size (including
null terminator)
OUT: Amount of log buffer filled with messages
Option type: unsigned int
Applies to: compiler and linker
CU_JIT_ERROR_LOG_BUFFER
Pointer to a buffer in which to print any log messages that reflect errors (the
buffer size is specified via option CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES)
Option type: char *
Applies to: compiler and linker
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES
IN: Log buffer size in bytes. Log messages will be capped at this size (including
null terminator)
OUT: Amount of log buffer filled with messages
Option type: unsigned int
Applies to: compiler and linker
CU_JIT_OPTIMIZATION_LEVEL
Level of optimizations to apply to generated code (0 - 4), with 4 being the default
and highest level of optimizations.
Option type: unsigned int
Applies to: compiler only
CU_JIT_TARGET_FROM_CUCONTEXT
No option value required. Determines the target based on the current attached
context (default)
Option type: No option value needed
Applies to: compiler and linker
CU_JIT_TARGET
Target is chosen based on supplied CUjit_target. Cannot be combined with
CU_JIT_THREADS_PER_BLOCK.
Option type: unsigned int for enumerated type CUjit_target
Applies to: compiler and linker
CU_JIT_FALLBACK_STRATEGY
Specifies choice of fallback strategy if matching cubin is not found. Choice is
based on supplied CUjit_fallback. This option cannot be used with cuLink* APIs as
the linker requires exact matches.
Option type: unsigned int for enumerated type CUjit_fallback
Applies to: compiler only
CU_JIT_GENERATE_DEBUG_INFO
Specifies whether to create debug information in output (-g) (0: false, default)
Option type: int
Applies to: compiler and linker
CU_JIT_LOG_VERBOSE
Generate verbose log messages (0: false, default)
Option type: int
Applies to: compiler and linker
CU_JIT_GENERATE_LINE_INFO
Generate line number information (-lineinfo) (0: false, default)
Option type: int
Applies to: compiler only
CU_JIT_CACHE_MODE
Specifies whether to enable caching explicitly (-dlcm)
Choice is based on supplied CUjit_cacheMode_enum.
Option type: unsigned int for enumerated type CUjit_cacheMode_enum
Applies to: compiler only
CU_JIT_NEW_SM3X_OPT
The below jit options are used for internal purposes only, in this version of CUDA
enum CUjit_target
Online compilation targets
Enumerator:
CU_TARGET_COMPUTE_20
Compute device class 2.0
CU_TARGET_COMPUTE_21
Compute device class 2.1
CU_TARGET_COMPUTE_30
Compute device class 3.0
CU_TARGET_COMPUTE_32
Compute device class 3.2
CU_TARGET_COMPUTE_35
Compute device class 3.5
CU_TARGET_COMPUTE_37
Compute device class 3.7
CU_TARGET_COMPUTE_50
Compute device class 5.0
CU_TARGET_COMPUTE_52
Compute device class 5.2
CU_TARGET_COMPUTE_53
Compute device class 5.3
CU_TARGET_COMPUTE_60
Compute device class 6.0.
CU_TARGET_COMPUTE_61
Compute device class 6.1.
CU_TARGET_COMPUTE_62
Compute device class 6.2.
CU_TARGET_COMPUTE_70
Compute device class 7.0.
CU_TARGET_COMPUTE_73
Compute device class 7.3.
CU_TARGET_COMPUTE_75
Compute device class 7.5.
enum CUjitInputType
Device code formats
Enumerator:
CU_JIT_INPUT_CUBIN
Compiled device-class-specific device code
Applicable options: none
CU_JIT_INPUT_PTX
PTX source code
Applicable options: PTX compiler options
CU_JIT_INPUT_FATBINARY
Bundle of multiple cubins and/or PTX of some device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
CU_JIT_INPUT_OBJECT
Host object with embedded device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
CU_JIT_INPUT_LIBRARY
Archive of host objects with embedded device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
enum CUlimit
Limits
Enumerator:
CU_LIMIT_STACK_SIZE
GPU thread stack size
CU_LIMIT_PRINTF_FIFO_SIZE
GPU printf FIFO size
CU_LIMIT_MALLOC_HEAP_SIZE
GPU malloc heap size
CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH
GPU device runtime launch synchronize depth
CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT
GPU device runtime pending launch count
enum CUmem_advise
Memory advise values
Enumerator:
CU_MEM_ADVISE_SET_READ_MOSTLY
Data will mostly be read and only occasionally be written to
CU_MEM_ADVISE_UNSET_READ_MOSTLY
Undo the effect of CU_MEM_ADVISE_SET_READ_MOSTLY
CU_MEM_ADVISE_SET_PREFERRED_LOCATION
Set the preferred location for the data as the specified device
CU_MEM_ADVISE_UNSET_PREFERRED_LOCATION
Clear the preferred location for the data
CU_MEM_ADVISE_SET_ACCESSED_BY
Data will be accessed by the specified device, so prevent page faults as much as
possible
CU_MEM_ADVISE_UNSET_ACCESSED_BY
Let the Unified Memory subsystem decide on the page faulting policy for the
specified device
enum CUmem_range_attribute
Enumerator:
CU_MEM_RANGE_ATTRIBUTE_READ_MOSTLY
Whether the range will mostly be read and only occasionally be written to
CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION
The preferred location of the range
CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY
Memory range has CU_MEM_ADVISE_SET_ACCESSED_BY set for specified device
CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION
The last location to which the range was prefetched
enum CUmemAttach_flags
CUDA Mem Attach Flags
Enumerator:
CU_MEM_ATTACH_GLOBAL
Memory can be accessed by any stream on any device
CU_MEM_ATTACH_HOST
Memory cannot be accessed by any stream on any device
CU_MEM_ATTACH_SINGLE
Memory can only be accessed by a single stream on the associated device
enum CUmemorytype
Memory types
Enumerator:
CU_MEMORYTYPE_HOST
Host memory
CU_MEMORYTYPE_DEVICE
Device memory
CU_MEMORYTYPE_ARRAY
Array memory
CU_MEMORYTYPE_UNIFIED
Unified device or host memory
enum CUoccupancy_flags
Occupancy calculator flag
Enumerator:
CU_OCCUPANCY_DEFAULT
Default behavior
CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE
Assume global caching is enabled and cannot be automatically turned off
enum CUpointer_attribute
Pointer information
Enumerator:
CU_POINTER_ATTRIBUTE_CONTEXT
The CUcontext on which a pointer was allocated or registered
CU_POINTER_ATTRIBUTE_MEMORY_TYPE
The CUmemorytype describing the physical location of a pointer
CU_POINTER_ATTRIBUTE_DEVICE_POINTER
The address at which a pointer's memory may be accessed on the device
CU_POINTER_ATTRIBUTE_HOST_POINTER
The address at which a pointer's memory may be accessed on the host
CU_POINTER_ATTRIBUTE_P2P_TOKENS
A pair of tokens for use with the nv-p2p.h Linux kernel interface
CU_POINTER_ATTRIBUTE_SYNC_MEMOPS
Synchronize every synchronous memory operation initiated on this region
CU_POINTER_ATTRIBUTE_BUFFER_ID
A process-wide unique ID for an allocated memory region
CU_POINTER_ATTRIBUTE_IS_MANAGED
Indicates if the pointer points to managed memory
enum CUresourcetype
Resource types
Enumerator:
CU_RESOURCE_TYPE_ARRAY
Array resource
CU_RESOURCE_TYPE_MIPMAPPED_ARRAY
Mipmapped array resource
CU_RESOURCE_TYPE_LINEAR
Linear resource
CU_RESOURCE_TYPE_PITCH2D
Pitch 2D resource
enum CUresourceViewFormat
Resource view format
Enumerator:
CU_RES_VIEW_FORMAT_NONE
No resource view format (use underlying resource format)
CU_RES_VIEW_FORMAT_UINT_1X8
1 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_UINT_2X8
2 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_UINT_4X8
4 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_SINT_1X8
1 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_SINT_2X8
2 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_SINT_4X8
4 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_UINT_1X16
1 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_UINT_2X16
2 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_UINT_4X16
4 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_SINT_1X16
1 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_SINT_2X16
2 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_SINT_4X16
4 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_UINT_1X32
1 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_UINT_2X32
2 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_UINT_4X32
4 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_SINT_1X32
1 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_SINT_2X32
2 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_SINT_4X32
4 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_FLOAT_1X16
1 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_2X16
2 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_4X16
4 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_1X32
1 channel 32-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_2X32
2 channel 32-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_4X32
4 channel 32-bit floating point
CU_RES_VIEW_FORMAT_UNSIGNED_BC1
Block compressed 1
CU_RES_VIEW_FORMAT_UNSIGNED_BC2
Block compressed 2
CU_RES_VIEW_FORMAT_UNSIGNED_BC3
Block compressed 3
CU_RES_VIEW_FORMAT_UNSIGNED_BC4
Block compressed 4 unsigned
CU_RES_VIEW_FORMAT_SIGNED_BC4
Block compressed 4 signed
CU_RES_VIEW_FORMAT_UNSIGNED_BC5
Block compressed 5 unsigned
CU_RES_VIEW_FORMAT_SIGNED_BC5
Block compressed 5 signed
CU_RES_VIEW_FORMAT_UNSIGNED_BC6H
Block compressed 6 unsigned half-float
CU_RES_VIEW_FORMAT_SIGNED_BC6H
Block compressed 6 signed half-float
CU_RES_VIEW_FORMAT_UNSIGNED_BC7
Block compressed 7
enum CUresult
Error codes
Enumerator:
CUDA_SUCCESS
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 cuEventQuery() and
cuStreamQuery()).
CUDA_ERROR_INVALID_VALUE
This indicates that one or more of the parameters passed to the API call is not
within an acceptable range of values.
CUDA_ERROR_OUT_OF_MEMORY
The API call failed because it was unable to allocate enough memory to perform the
requested operation.
CUDA_ERROR_NOT_INITIALIZED
This indicates that the CUDA driver has not been initialized with cuInit() or that
initialization has failed.
CUDA_ERROR_DEINITIALIZED
This indicates that the CUDA driver is in the process of shutting down.
CUDA_ERROR_PROFILER_DISABLED
This indicates profiler is not initialized for this run. This can happen when the
application is running with external profiling tools like visual profiler.
CUDA_ERROR_PROFILER_NOT_INITIALIZED
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 cuProfilerStart or cuProfilerStop without
initialization.
CUDA_ERROR_PROFILER_ALREADY_STARTED
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call
cuProfilerStart() when profiling is already enabled.
CUDA_ERROR_PROFILER_ALREADY_STOPPED
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call
cuProfilerStop() when profiling is already disabled.
CUDA_ERROR_NO_DEVICE
This indicates that no CUDA-capable devices were detected by the installed CUDA
driver.
CUDA_ERROR_INVALID_DEVICE
This indicates that the device ordinal supplied by the user does not correspond to
a valid CUDA device.
CUDA_ERROR_INVALID_IMAGE
This indicates that the device kernel image is invalid. This can also indicate an
invalid CUDA module.
CUDA_ERROR_INVALID_CONTEXT
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.
CUDA_ERROR_CONTEXT_ALREADY_CURRENT
This indicated that the context being supplied as a parameter to the API call was
already the active context.
Deprecated
This error return is deprecated as of CUDA 3.2. It is no longer an error to attempt to
push the active context via cuCtxPushCurrent().
CUDA_ERROR_MAP_FAILED
This indicates that a map or register operation has failed.
CUDA_ERROR_UNMAP_FAILED
This indicates that an unmap or unregister operation has failed.
CUDA_ERROR_ARRAY_IS_MAPPED
This indicates that the specified array is currently mapped and thus cannot be
destroyed.
CUDA_ERROR_ALREADY_MAPPED
This indicates that the resource is already mapped.
CUDA_ERROR_NO_BINARY_FOR_GPU
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.
CUDA_ERROR_ALREADY_ACQUIRED
This indicates that a resource has already been acquired.
CUDA_ERROR_NOT_MAPPED
This indicates that a resource is not mapped.
CUDA_ERROR_NOT_MAPPED_AS_ARRAY
This indicates that a mapped resource is not available for access as an array.
CUDA_ERROR_NOT_MAPPED_AS_POINTER
This indicates that a mapped resource is not available for access as a pointer.
CUDA_ERROR_ECC_UNCORRECTABLE
This indicates that an uncorrectable ECC error was detected during execution.
CUDA_ERROR_UNSUPPORTED_LIMIT
This indicates that the CUlimit passed to the API call is not supported by the
active device.
CUDA_ERROR_CONTEXT_ALREADY_IN_USE
This indicates that the CUcontext passed to the API call can only be bound to a
single CPU thread at a time but is already bound to a CPU thread.
CUDA_ERROR_PEER_ACCESS_UNSUPPORTED
This indicates that peer access is not supported across the given devices.
CUDA_ERROR_INVALID_PTX
This indicates that a PTX JIT compilation failed.
CUDA_ERROR_INVALID_GRAPHICS_CONTEXT
This indicates an error with OpenGL or DirectX context.
CUDA_ERROR_NVLINK_UNCORRECTABLE
This indicates that an uncorrectable NVLink error was detected during the
execution.
CUDA_ERROR_JIT_COMPILER_NOT_FOUND
This indicates that the PTX JIT compiler library was not found.
CUDA_ERROR_INVALID_SOURCE
This indicates that the device kernel source is invalid.
CUDA_ERROR_FILE_NOT_FOUND
This indicates that the file specified was not found.
CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND
This indicates that a link to a shared object failed to resolve.
CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
This indicates that initialization of a shared object failed.
CUDA_ERROR_OPERATING_SYSTEM
This indicates that an OS call failed.
CUDA_ERROR_INVALID_HANDLE
This indicates that a resource handle passed to the API call was not valid.
Resource handles are opaque types like CUstream and CUevent.
CUDA_ERROR_NOT_FOUND
This indicates that a named symbol was not found. Examples of symbols are
global/constant variable names, texture names, and surface names.
CUDA_ERROR_NOT_READY
This indicates that asynchronous operations issued previously have not completed
yet. This result is not actually an error, but must be indicated differently than
CUDA_SUCCESS (which indicates completion). Calls that may return this value include
cuEventQuery() and cuStreamQuery().
CUDA_ERROR_ILLEGAL_ADDRESS
While executing a kernel, 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.
CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES
This indicates that a launch did not occur because it did not have appropriate
resources. 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. Passing arguments of the wrong size (i.e.
a 64-bit pointer when a 32-bit int is expected) is equivalent to passing too many
arguments and can also result in this error.
CUDA_ERROR_LAUNCH_TIMEOUT
This indicates that the device kernel took too long to execute. This can only occur
if timeouts are enabled - see the device attribute
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT 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.
CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING
This error indicates a kernel launch that uses an incompatible texturing mode.
CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED
This error indicates that a call to cuCtxEnablePeerAccess() is trying to re-enable
peer access to a context which has already had peer access to it enabled.
CUDA_ERROR_PEER_ACCESS_NOT_ENABLED
This error indicates that cuCtxDisablePeerAccess() is trying to disable peer access
which has not been enabled yet via cuCtxEnablePeerAccess().
CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE
This error indicates that the primary context for the specified device has already
been initialized.
CUDA_ERROR_CONTEXT_IS_DESTROYED
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.
CUDA_ERROR_ASSERT
A device-side assert triggered during kernel execution. The context cannot be used
anymore, and must be destroyed. All existing device memory allocations from this
context are invalid and must be reconstructed if the program is to continue using
CUDA.
CUDA_ERROR_TOO_MANY_PEERS
This error indicates that the hardware resources required to enable peer access
have been exhausted for one or more of the devices passed to
cuCtxEnablePeerAccess().
CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED
This error indicates that the memory range passed to cuMemHostRegister() has
already been registered.
CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED
This error indicates that the pointer passed to cuMemHostUnregister() does not
correspond to any currently registered memory region.
CUDA_ERROR_HARDWARE_STACK_ERROR
While executing a kernel, the device encountered a stack error. This can be 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.
CUDA_ERROR_ILLEGAL_INSTRUCTION
While executing a kernel, the device encountered an illegal instruction. 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.
CUDA_ERROR_MISALIGNED_ADDRESS
While executing a kernel, 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.
CUDA_ERROR_INVALID_ADDRESS_SPACE
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.
CUDA_ERROR_INVALID_PC
While executing a kernel, the device program counter wrapped its 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.
CUDA_ERROR_LAUNCH_FAILED
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.
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.
CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE
This error indicates that the number of blocks launched per grid for a kernel that
was launched via either cuLaunchCooperativeKernel or
cuLaunchCooperativeKernelMultiDevice exceeds the maximum number of blocks as
allowed by cuOccupancyMaxActiveBlocksPerMultiprocessor or
cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags times the number of
multiprocessors as specified by the device attribute
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT.
CUDA_ERROR_NOT_PERMITTED
This error indicates that the attempted operation is not permitted.
CUDA_ERROR_NOT_SUPPORTED
This error indicates that the attempted operation is not supported on the current
system or device.
CUDA_ERROR_UNKNOWN
This indicates that an unknown internal error has occurred.
enum CUshared_carveout
Shared memory carveout configurations
Enumerator:
CU_SHAREDMEM_CARVEOUT_MAX_SHARED
< no preference for shared memory or L1 (default)
CU_SHAREDMEM_CARVEOUT_MAX_L1
< prefer maximum available shared memory, minimum L1 cache
enum CUsharedconfig
Shared memory configurations
Enumerator:
CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE
set default shared memory bank size
CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE
set shared memory bank width to four bytes
CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE
set shared memory bank width to eight bytes
enum CUstream_flags
Stream creation flags
Enumerator:
CU_STREAM_DEFAULT
Default stream flag
CU_STREAM_NON_BLOCKING
Stream does not synchronize with stream 0 (the NULL stream)
enum CUstreamBatchMemOpType
Operations for cuStreamBatchMemOp
Enumerator:
CU_STREAM_MEM_OP_WAIT_VALUE_32
Represents a cuStreamWaitValue32 operation
CU_STREAM_MEM_OP_WRITE_VALUE_32
Represents a cuStreamWriteValue32 operation
CU_STREAM_MEM_OP_WAIT_VALUE_64
Represents a cuStreamWaitValue64 operation
CU_STREAM_MEM_OP_WRITE_VALUE_64
Represents a cuStreamWriteValue64 operation
CU_STREAM_MEM_OP_FLUSH_REMOTE_WRITES
This has the same effect as CU_STREAM_WAIT_VALUE_FLUSH, but as a standalone
operation.
enum CUstreamWaitValue_flags
Flags for cuStreamWaitValue32 and cuStreamWaitValue64
Enumerator:
CU_STREAM_WAIT_VALUE_GEQ
Wait until (int32_t)(*addr - value) >= 0 (or int64_t for 64 bit values). Note this
is a cyclic comparison which ignores wraparound. (Default behavior.)
CU_STREAM_WAIT_VALUE_EQ
Wait until *addr == value.
CU_STREAM_WAIT_VALUE_AND
Wait until (*addr & value) != 0.
CU_STREAM_WAIT_VALUE_NOR
Wait until ~(*addr | value) != 0. Support for this operation can be queried with
cuDeviceGetAttribute() and CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR.
Generally, this requires compute capability 7.0 or greater.
CU_STREAM_WAIT_VALUE_FLUSH
Follow the wait operation with a flush of outstanding remote writes. This means
that, if a remote write operation is guaranteed to have reached the device before
the wait can be satisfied, that write is guaranteed to be visible to downstream
device work. The device is permitted to reorder remote writes internally. For
example, this flag would be required if two remote writes arrive in a defined
order, the wait is satisfied by the second write, and downstream work needs to
observe the first write.
enum CUstreamWriteValue_flags
Flags for cuStreamWriteValue32
Enumerator:
CU_STREAM_WRITE_VALUE_DEFAULT
Default behavior
CU_STREAM_WRITE_VALUE_NO_MEMORY_BARRIER
Permits the write to be reordered with writes which were issued before it, as a
performance optimization. Normally, cuStreamWriteValue32 will provide a memory
fence before the write, which has similar semantics to __threadfence_system() but
is scoped to the stream rather than a CUDA thread.
Author
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