/**
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and related documentation outside the terms of the EULA
* is strictly prohibited.
*
*/
#ifndef __cuda_drvapi_dynlink_cuda_h__
#define __cuda_drvapi_dynlink_cuda_h__
#include <stdlib.h>
/**
* CUDA API versioning support
*/
#define __CUDA_API_VERSION 4000
/**
* \defgroup CUDA_DRIVER CUDA Driver API
*
* This section describes the low-level CUDA driver application programming
* interface.
*
* @{
*/
/**
* \defgroup CUDA_TYPES Data types used by CUDA driver
* @{
*/
/**
* CUDA API version number
*/
#define CUDA_VERSION 3020 /* 3.2 */
#ifdef __cplusplus
extern "C" {
#endif
/**
* CUDA device pointer
*/
#if __CUDA_API_VERSION >= 3020
#if defined(_WIN64) || defined(__LP64__)
typedef unsigned long long CUdeviceptr;
#else
typedef unsigned int CUdeviceptr;
#endif
#endif /* __CUDA_API_VERSION >= 3020 */
typedef int CUdevice; /**< CUDA device */
typedef struct CUctx_st *CUcontext; /**< CUDA context */
typedef struct CUmod_st *CUmodule; /**< CUDA module */
typedef struct CUfunc_st *CUfunction; /**< CUDA function */
typedef struct CUarray_st *CUarray; /**< CUDA array */
typedef struct CUtexref_st *CUtexref; /**< CUDA texture reference */
typedef struct CUsurfref_st *CUsurfref; /**< CUDA surface reference */
typedef struct CUevent_st *CUevent; /**< CUDA event */
typedef struct CUstream_st *CUstream; /**< CUDA stream */
typedef struct CUgraphicsResource_st *CUgraphicsResource; /**< CUDA graphics interop resource */
typedef struct CUuuid_st /**< CUDA definition of UUID */
{
char bytes[16];
} CUuuid;
/**
* Context creation flags
*/
typedef enum CUctx_flags_enum
{
CU_CTX_SCHED_AUTO = 0x00, /**< Automatic scheduling */
CU_CTX_SCHED_SPIN = 0x01, /**< Set spin as default scheduling */
CU_CTX_SCHED_YIELD = 0x02, /**< Set yield as default scheduling */
CU_CTX_SCHED_BLOCKING_SYNC = 0x04, /**< Set blocking synchronization as default scheduling */
CU_CTX_BLOCKING_SYNC = 0x04, /**< Set blocking synchronization as default scheduling \deprecated */
CU_CTX_MAP_HOST = 0x08, /**< Support mapped pinned allocations */
CU_CTX_LMEM_RESIZE_TO_MAX = 0x10, /**< Keep local memory allocation after launch */
#if __CUDA_API_VERSION < 4000
CU_CTX_SCHED_MASK = 0x03,
CU_CTX_FLAGS_MASK = 0x1f
#else
CU_CTX_SCHED_MASK = 0x07,
CU_CTX_PRIMARY = 0x20, /**< Initialize and return the primary context */
CU_CTX_FLAGS_MASK = 0x3f
#endif
} CUctx_flags;
/**
* Event creation flags
*/
typedef enum CUevent_flags_enum
{
CU_EVENT_DEFAULT = 0, /**< Default event flag */
CU_EVENT_BLOCKING_SYNC = 1, /**< Event uses blocking synchronization */
CU_EVENT_DISABLE_TIMING = 2 /**< Event will not record timing data */
} CUevent_flags;
/**
* Array formats
*/
typedef enum CUarray_format_enum
{
CU_AD_FORMAT_UNSIGNED_INT8 = 0x01, /**< Unsigned 8-bit integers */
CU_AD_FORMAT_UNSIGNED_INT16 = 0x02, /**< Unsigned 16-bit integers */
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03, /**< Unsigned 32-bit integers */
CU_AD_FORMAT_SIGNED_INT8 = 0x08, /**< Signed 8-bit integers */
CU_AD_FORMAT_SIGNED_INT16 = 0x09, /**< Signed 16-bit integers */
CU_AD_FORMAT_SIGNED_INT32 = 0x0a, /**< Signed 32-bit integers */
CU_AD_FORMAT_HALF = 0x10, /**< 16-bit floating point */
CU_AD_FORMAT_FLOAT = 0x20 /**< 32-bit floating point */
} CUarray_format;
/**
* Texture reference addressing modes
*/
typedef enum CUaddress_mode_enum
{
CU_TR_ADDRESS_MODE_WRAP = 0, /**< Wrapping address mode */
CU_TR_ADDRESS_MODE_CLAMP = 1, /**< Clamp to edge address mode */
CU_TR_ADDRESS_MODE_MIRROR = 2, /**< Mirror address mode */
CU_TR_ADDRESS_MODE_BORDER = 3 /**< Border address mode */
} CUaddress_mode;
/**
* Texture reference filtering modes
*/
typedef enum CUfilter_mode_enum
{
CU_TR_FILTER_MODE_POINT = 0, /**< Point filter mode */
CU_TR_FILTER_MODE_LINEAR = 1 /**< Linear filter mode */
} CUfilter_mode;
/**
* Device properties
*/
typedef enum CUdevice_attribute_enum
{
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 1, /**< Maximum number of threads per block */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X = 2, /**< Maximum block dimension X */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y = 3, /**< Maximum block dimension Y */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z = 4, /**< Maximum block dimension Z */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X = 5, /**< Maximum grid dimension X */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y = 6, /**< Maximum grid dimension Y */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z = 7, /**< Maximum grid dimension Z */
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK = 8, /**< Maximum shared memory available per block in bytes */
CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK = 8, /**< Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK */
CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY = 9, /**< Memory available on device for __constant__ variables in a CUDA C kernel in bytes */
CU_DEVICE_ATTRIBUTE_WARP_SIZE = 10, /**< Warp size in threads */
CU_DEVICE_ATTRIBUTE_MAX_PITCH = 11, /**< Maximum pitch in bytes allowed by memory copies */
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK = 12, /**< Maximum number of 32-bit registers available per block */
CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK = 12, /**< Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK */
CU_DEVICE_ATTRIBUTE_CLOCK_RATE = 13, /**< Peak clock frequency in kilohertz */
CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT = 14, /**< Alignment requirement for textures */
CU_DEVICE_ATTRIBUTE_GPU_OVERLAP = 15, /**< Device can possibly copy memory and execute a kernel concurrently */
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT = 16, /**< Number of multiprocessors on device */
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT = 17, /**< Specifies whether there is a run time limit on kernels */
CU_DEVICE_ATTRIBUTE_INTEGRATED = 18, /**< Device is integrated with host memory */
CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY = 19, /**< Device can map host memory into CUDA address space */
CU_DEVICE_ATTRIBUTE_COMPUTE_MODE = 20, /**< Compute mode (See ::CUcomputemode for details) */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH = 21, /**< Maximum 1D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH = 22, /**< Maximum 2D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT = 23, /**< Maximum 2D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH = 24, /**< Maximum 3D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT = 25, /**< Maximum 3D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH = 26, /**< Maximum 3D texture depth */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH = 27, /**< Maximum texture array width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT = 28, /**< Maximum texture array height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES = 29, /**< Maximum slices in a texture array */
CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT = 30, /**< Alignment requirement for surfaces */
CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS = 31, /**< Device can possibly execute multiple kernels concurrently */
CU_DEVICE_ATTRIBUTE_ECC_ENABLED = 32, /**< Device has ECC support enabled */
CU_DEVICE_ATTRIBUTE_PCI_BUS_ID = 33, /**< PCI bus ID of the device */
CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID = 34, /**< PCI device ID of the device */
CU_DEVICE_ATTRIBUTE_TCC_DRIVER = 35 /**< Device is using TCC driver model */
#if __CUDA_API_VERSION >= 4000
,
CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE = 36, /**< Peak memory clock frequency in kilohertz */
CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH = 37, /**< Global memory bus width in bits */
CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE = 38, /**< Size of L2 cache in bytes */
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR = 39, /**< Maximum resident threads per multiprocessor */
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT = 40, /**< Number of asynchronous engines */
CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING = 41, /**< Device uses shares a unified address space with the host */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH = 42, /**< Maximum 1D layered texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS = 43 /**< Maximum layers in a 1D layered texture */
#endif
} CUdevice_attribute;
/**
* Legacy device properties
*/
typedef struct CUdevprop_st
{
int maxThreadsPerBlock; /**< Maximum number of threads per block */
int maxThreadsDim[3]; /**< Maximum size of each dimension of a block */
int maxGridSize[3]; /**< Maximum size of each dimension of a grid */
int sharedMemPerBlock; /**< Shared memory available per block in bytes */
int totalConstantMemory; /**< Constant memory available on device in bytes */
int SIMDWidth; /**< Warp size in threads */
int memPitch; /**< Maximum pitch in bytes allowed by memory copies */
int regsPerBlock; /**< 32-bit registers available per block */
int clockRate; /**< Clock frequency in kilohertz */
int textureAlign; /**< Alignment requirement for textures */
} CUdevprop;
/**
* Function properties
*/
typedef enum CUfunction_attribute_enum
{
/**
* 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_MAX_THREADS_PER_BLOCK = 0,
/**
* 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_SHARED_SIZE_BYTES = 1,
/**
* The size in bytes of user-allocated constant memory required by this
* function.
*/
CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES = 2,
/**
* The size in bytes of local memory used by each thread of this function.
*/
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES = 3,
/**
* The number of registers used by each thread of this function.
*/
CU_FUNC_ATTRIBUTE_NUM_REGS = 4,
/**
* 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_PTX_VERSION = 5,
/**
* 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_BINARY_VERSION = 6,
CU_FUNC_ATTRIBUTE_MAX
} CUfunction_attribute;
/**
* Function cache configurations
*/
typedef enum CUfunc_cache_enum
{
CU_FUNC_CACHE_PREFER_NONE = 0x00, /**< no preference for shared memory or L1 (default) */
CU_FUNC_CACHE_PREFER_SHARED = 0x01, /**< prefer larger shared memory and smaller L1 cache */
CU_FUNC_CACHE_PREFER_L1 = 0x02 /**< prefer larger L1 cache and smaller shared memory */
} CUfunc_cache;
/**
* Memory types
*/
typedef enum CUmemorytype_enum
{
CU_MEMORYTYPE_HOST = 0x01, /**< Host memory */
CU_MEMORYTYPE_DEVICE = 0x02, /**< Device memory */
CU_MEMORYTYPE_ARRAY = 0x03 /**< Array memory */
#if __CUDA_API_VERSION >= 4000
,
CU_MEMORYTYPE_UNIFIED = 0x04 /**< Unified device or host memory */
#endif
} CUmemorytype;
/**
* Compute Modes
*/
typedef enum CUcomputemode_enum
{
CU_COMPUTEMODE_DEFAULT = 0, /**< Default compute mode (Multiple contexts allowed per device) */
CU_COMPUTEMODE_EXCLUSIVE = 1, /**< Compute-exclusive-thread mode (Only one context used by a single thread can be present on this device at a time) */
CU_COMPUTEMODE_PROHIBITED = 2 /**< Compute-prohibited mode (No contexts can be created on this device at this time) */
#if __CUDA_API_VERSION >= 4000
,
CU_COMPUTEMODE_EXCLUSIVE_PROCESS = 3 /**< Compute-exclusive-process mode (Only one context used by a single process can be present on this device at a time) */
#endif
} CUcomputemode;
/**
* Online compiler options
*/
typedef enum CUjit_option_enum
{
/**
* Max number of registers that a thread may use.\n
* Option type: unsigned int
*/
CU_JIT_MAX_REGISTERS = 0,
/**
* IN: Specifies minimum number of threads per block to target compilation
* for\n
* 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.\n
* Option type: unsigned int
*/
CU_JIT_THREADS_PER_BLOCK,
/**
* Returns a float value in the option of the wall clock time, in
* milliseconds, spent creating the cubin\n
* Option type: float
*/
CU_JIT_WALL_TIME,
/**
* Pointer to a buffer in which to print any log messsages from PTXAS
* that are informational in nature (the buffer size is specified via
* option ::CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES) \n
* Option type: char*
*/
CU_JIT_INFO_LOG_BUFFER,
/**
* IN: Log buffer size in bytes. Log messages will be capped at this size
* (including null terminator)\n
* OUT: Amount of log buffer filled with messages\n
* Option type: unsigned int
*/
CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES,
/**
* Pointer to a buffer in which to print any log messages from PTXAS that
* reflect errors (the buffer size is specified via option
* ::CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES)\n
* Option type: char*
*/
CU_JIT_ERROR_LOG_BUFFER,
/**
* IN: Log buffer size in bytes. Log messages will be capped at this size
* (including null terminator)\n
* OUT: Amount of log buffer filled with messages\n
* Option type: unsigned int
*/
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES,
/**
* Level of optimizations to apply to generated code (0 - 4), with 4
* being the default and highest level of optimizations.\n
* Option type: unsigned int
*/
CU_JIT_OPTIMIZATION_LEVEL,
/**
* No option value required. Determines the target based on the current
* attached context (default)\n
* Option type: No option value needed
*/
CU_JIT_TARGET_FROM_CUCONTEXT,
/**
* Target is chosen based on supplied ::CUjit_target_enum.\n
* Option type: unsigned int for enumerated type ::CUjit_target_enum
*/
CU_JIT_TARGET,
/**
* Specifies choice of fallback strategy if matching cubin is not found.
* Choice is based on supplied ::CUjit_fallback_enum.\n
* Option type: unsigned int for enumerated type ::CUjit_fallback_enum
*/
CU_JIT_FALLBACK_STRATEGY
} CUjit_option;
/**
* Online compilation targets
*/
typedef enum CUjit_target_enum
{
CU_TARGET_COMPUTE_10 = 0, /**< Compute device class 1.0 */
CU_TARGET_COMPUTE_11, /**< Compute device class 1.1 */
CU_TARGET_COMPUTE_12, /**< Compute device class 1.2 */
CU_TARGET_COMPUTE_13, /**< Compute device class 1.3 */
CU_TARGET_COMPUTE_20, /**< Compute device class 2.0 */
CU_TARGET_COMPUTE_21 /**< Compute device class 2.1 */
} CUjit_target;
/**
* Cubin matching fallback strategies
*/
typedef enum CUjit_fallback_enum
{
CU_PREFER_PTX = 0, /**< Prefer to compile ptx */
CU_PREFER_BINARY /**< Prefer to fall back to compatible binary code */
} CUjit_fallback;
/**
* Flags to register a graphics resource
*/
typedef enum CUgraphicsRegisterFlags_enum
{
CU_GRAPHICS_REGISTER_FLAGS_NONE = 0x00,
CU_GRAPHICS_REGISTER_FLAGS_READ_ONLY = 0x01,
CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD = 0x02,
CU_GRAPHICS_REGISTER_FLAGS_SURFACE_LDST = 0x04
} CUgraphicsRegisterFlags;
/**
* Flags for mapping and unmapping interop resources
*/
typedef enum CUgraphicsMapResourceFlags_enum
{
CU_GRAPHICS_MAP_RESOURCE_FLAGS_NONE = 0x00,
CU_GRAPHICS_MAP_RESOURCE_FLAGS_READ_ONLY = 0x01,
CU_GRAPHICS_MAP_RESOURCE_FLAGS_WRITE_DISCARD = 0x02
} CUgraphicsMapResourceFlags;
/**
* Array indices for cube faces
*/
typedef enum CUarray_cubemap_face_enum
{
CU_CUBEMAP_FACE_POSITIVE_X = 0x00, /**< Positive X face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_X = 0x01, /**< Negative X face of cubemap */
CU_CUBEMAP_FACE_POSITIVE_Y = 0x02, /**< Positive Y face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_Y = 0x03, /**< Negative Y face of cubemap */
CU_CUBEMAP_FACE_POSITIVE_Z = 0x04, /**< Positive Z face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_Z = 0x05 /**< Negative Z face of cubemap */
} CUarray_cubemap_face;
/**
* Limits
*/
typedef enum CUlimit_enum
{
CU_LIMIT_STACK_SIZE = 0x00, /**< GPU thread stack size */
CU_LIMIT_PRINTF_FIFO_SIZE = 0x01, /**< GPU printf FIFO size */
CU_LIMIT_MALLOC_HEAP_SIZE = 0x02 /**< GPU malloc heap size */
} CUlimit;
/**
* Error codes
*/
typedef enum cudaError_enum
{
/**
* 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_SUCCESS = 0,
/**
* This indicates that one or more of the parameters passed to the API call
* is not within an acceptable range of values.
*/
CUDA_ERROR_INVALID_VALUE = 1,
/**
* The API call failed because it was unable to allocate enough memory to
* perform the requested operation.
*/
CUDA_ERROR_OUT_OF_MEMORY = 2,
/**
* This indicates that the CUDA driver has not been initialized with
* ::cuInit() or that initialization has failed.
*/
CUDA_ERROR_NOT_INITIALIZED = 3,
/**
* This indicates that the CUDA driver is in the process of shutting down.
*/
CUDA_ERROR_DEINITIALIZED = 4,
/**
* This indicates profiling APIs are called while application is running
* in visual profiler mode.
*/
CUDA_ERROR_PROFILER_DISABLED = 5,
/**
* This indicates profiling has not been initialized for this context.
* Call cuProfilerInitialize() to resolve this.
*/
CUDA_ERROR_PROFILER_NOT_INITIALIZED = 6,
/**
* This indicates profiler has already been started and probably
* cuProfilerStart() is incorrectly called.
*/
CUDA_ERROR_PROFILER_ALREADY_STARTED = 7,
/**
* This indicates profiler has already been stopped and probably
* cuProfilerStop() is incorrectly called.
*/
CUDA_ERROR_PROFILER_ALREADY_STOPPED = 8,
/**
* This indicates that no CUDA-capable devices were detected by the installed
* CUDA driver.
*/
CUDA_ERROR_NO_DEVICE = 100,
/**
* This indicates that the device ordinal supplied by the user does not
* correspond to a valid CUDA device.
*/
CUDA_ERROR_INVALID_DEVICE = 101,
/**
* This indicates that the device kernel image is invalid. This can also
* indicate an invalid CUDA module.
*/
CUDA_ERROR_INVALID_IMAGE = 200,
/**
* 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_INVALID_CONTEXT = 201,
/**
* 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_CONTEXT_ALREADY_CURRENT = 202,
/**
* This indicates that a map or register operation has failed.
*/
CUDA_ERROR_MAP_FAILED = 205,
/**
* This indicates that an unmap or unregister operation has failed.
*/
CUDA_ERROR_UNMAP_FAILED = 206,
/**
* This indicates that the specified array is currently mapped and thus
* cannot be destroyed.
*/
CUDA_ERROR_ARRAY_IS_MAPPED = 207,
/**
* This indicates that the resource is already mapped.
*/
CUDA_ERROR_ALREADY_MAPPED = 208,
/**
* 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_NO_BINARY_FOR_GPU = 209,
/**
* This indicates that a resource has already been acquired.
*/
CUDA_ERROR_ALREADY_ACQUIRED = 210,
/**
* This indicates that a resource is not mapped.
*/
CUDA_ERROR_NOT_MAPPED = 211,
/**
* This indicates that a mapped resource is not available for access as an
* array.
*/
CUDA_ERROR_NOT_MAPPED_AS_ARRAY = 212,
/**
* This indicates that a mapped resource is not available for access as a
* pointer.
*/
CUDA_ERROR_NOT_MAPPED_AS_POINTER = 213,
/**
* This indicates that an uncorrectable ECC error was detected during
* execution.
*/
CUDA_ERROR_ECC_UNCORRECTABLE = 214,
/**
* This indicates that the ::CUlimit passed to the API call is not
* supported by the active device.
*/
CUDA_ERROR_UNSUPPORTED_LIMIT = 215,
/**
* 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_CONTEXT_ALREADY_IN_USE = 216,
/**
* This indicates that the device kernel source is invalid.
*/
CUDA_ERROR_INVALID_SOURCE = 300,
/**
* This indicates that the file specified was not found.
*/
CUDA_ERROR_FILE_NOT_FOUND = 301,
/**
* This indicates that a link to a shared object failed to resolve.
*/
CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND = 302,
/**
* This indicates that initialization of a shared object failed.
*/
CUDA_ERROR_SHARED_OBJECT_INIT_FAILED = 303,
/**
* This indicates that an OS call failed.
*/
CUDA_ERROR_OPERATING_SYSTEM = 304,
/**
* 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_INVALID_HANDLE = 400,
/**
* 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_FOUND = 500,
/**
* 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_NOT_READY = 600,
/**
* An exception occurred on the device while executing a kernel. Common
* causes include dereferencing an invalid device pointer and accessing
* out of bounds shared memory. The context cannot be used, so it must
* be destroyed (and a new one should be created). All existing device
* memory allocations from this context are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_LAUNCH_FAILED = 700,
/**
* 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_OUT_OF_RESOURCES = 701,
/**
* 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. The
* context cannot be used (and must be destroyed similar to
* ::CUDA_ERROR_LAUNCH_FAILED). All existing device memory allocations from
* this context are invalid and must be reconstructed if the program is to
* continue using CUDA.
*/
CUDA_ERROR_LAUNCH_TIMEOUT = 702,
/**
* This error indicates a kernel launch that uses an incompatible texturing
* mode.
*/
CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING = 703,
/**
* 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_ALREADY_ENABLED = 704,
/**
* This error indicates that a call to ::cuMemPeerRegister is trying to
* register memory from a context which has not had peer access
* enabled yet via ::cuCtxEnablePeerAccess(), or that
* ::cuCtxDisablePeerAccess() is trying to disable peer access
* which has not been enabled yet.
*/
CUDA_ERROR_PEER_ACCESS_NOT_ENABLED = 705,
/**
* This error indicates that a call to ::cuMemPeerRegister is trying to
* register already-registered memory.
*/
CUDA_ERROR_PEER_MEMORY_ALREADY_REGISTERED = 706,
/**
* This error indicates that a call to ::cuMemPeerUnregister is trying to
* unregister memory that has not been registered.
*/
CUDA_ERROR_PEER_MEMORY_NOT_REGISTERED = 707,
/**
* This error indicates that ::cuCtxCreate was called with the flag
* ::CU_CTX_PRIMARY on a device which already has initialized its
* primary context.
*/
CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE = 708,
/**
* 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_CONTEXT_IS_DESTROYED = 709,
/**
* This indicates that an unknown internal error has occurred.
*/
CUDA_ERROR_UNKNOWN = 999
} CUresult;
#if __CUDA_API_VERSION >= 4000
/**
* If set, host memory is portable between CUDA contexts.
* Flag for ::cuMemHostAlloc()
*/
#define CU_MEMHOSTALLOC_PORTABLE 0x01
/**
* 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_DEVICEMAP 0x02
/**
* 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_MEMHOSTALLOC_WRITECOMBINED 0x04
/**
* If set, host memory is portable between CUDA contexts.
* Flag for ::cuMemHostRegister()
*/
#define CU_MEMHOSTREGISTER_PORTABLE 0x01
/**
* 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_DEVICEMAP 0x02
/**
* If set, peer memory is mapped into CUDA address space and
* ::cuMemPeerGetDevicePointer() may be called on the host pointer.
* Flag for ::cuMemPeerRegister()
*/
#define CU_MEMPEERREGISTER_DEVICEMAP 0x02
#endif
#if __CUDA_API_VERSION >= 3020
/**
* 2D memory copy parameters
*/
typedef struct CUDA_MEMCPY2D_st
{
size_t srcXInBytes; /**< Source X in bytes */
size_t srcY; /**< Source Y */
CUmemorytype srcMemoryType; /**< Source memory type (host, device, array) */
const void *srcHost; /**< Source host pointer */
CUdeviceptr srcDevice; /**< Source device pointer */
CUarray srcArray; /**< Source array reference */
size_t srcPitch; /**< Source pitch (ignored when src is array) */
size_t dstXInBytes; /**< Destination X in bytes */
size_t dstY; /**< Destination Y */
CUmemorytype dstMemoryType; /**< Destination memory type (host, device, array) */
void *dstHost; /**< Destination host pointer */
CUdeviceptr dstDevice; /**< Destination device pointer */
CUarray dstArray; /**< Destination array reference */
size_t dstPitch; /**< Destination pitch (ignored when dst is array) */
size_t WidthInBytes; /**< Width of 2D memory copy in bytes */
size_t Height; /**< Height of 2D memory copy */
} CUDA_MEMCPY2D;
/**
* 3D memory copy parameters
*/
typedef struct CUDA_MEMCPY3D_st
{
size_t srcXInBytes; /**< Source X in bytes */
size_t srcY; /**< Source Y */
size_t srcZ; /**< Source Z */
size_t srcLOD; /**< Source LOD */
CUmemorytype srcMemoryType; /**< Source memory type (host, device, array) */
const void *srcHost; /**< Source host pointer */
CUdeviceptr srcDevice; /**< Source device pointer */
CUarray srcArray; /**< Source array reference */
void *reserved0; /**< Must be NULL */
size_t srcPitch; /**< Source pitch (ignored when src is array) */
size_t srcHeight; /**< Source height (ignored when src is array; may be 0 if Depth==1) */
size_t dstXInBytes; /**< Destination X in bytes */
size_t dstY; /**< Destination Y */
size_t dstZ; /**< Destination Z */
size_t dstLOD; /**< Destination LOD */
CUmemorytype dstMemoryType; /**< Destination memory type (host, device, array) */
void *dstHost; /**< Destination host pointer */
CUdeviceptr dstDevice; /**< Destination device pointer */
CUarray dstArray; /**< Destination array reference */
void *reserved1; /**< Must be NULL */
size_t dstPitch; /**< Destination pitch (ignored when dst is array) */
size_t dstHeight; /**< Destination height (ignored when dst is array; may be 0 if Depth==1) */
size_t WidthInBytes; /**< Width of 3D memory copy in bytes */
size_t Height; /**< Height of 3D memory copy */
size_t Depth; /**< Depth of 3D memory copy */
} CUDA_MEMCPY3D;
/**
* 3D memory cross-context copy parameters
*/
typedef struct CUDA_MEMCPY3D_PEER_st
{
size_t srcXInBytes; /**< Source X in bytes */
size_t srcY; /**< Source Y */
size_t srcZ; /**< Source Z */
size_t srcLOD; /**< Source LOD */
CUmemorytype srcMemoryType; /**< Source memory type (host, device, array) */
const void *srcHost; /**< Source host pointer */
CUdeviceptr srcDevice; /**< Source device pointer */
CUarray srcArray; /**< Source array reference */
CUcontext srcContext; /**< Source context (ignored with srcMemoryType is ::CU_MEMORYTYPE_ARRAY) */
size_t srcPitch; /**< Source pitch (ignored when src is array) */
size_t srcHeight; /**< Source height (ignored when src is array; may be 0 if Depth==1) */
size_t dstXInBytes; /**< Destination X in bytes */
size_t dstY; /**< Destination Y */
size_t dstZ; /**< Destination Z */
size_t dstLOD; /**< Destination LOD */
CUmemorytype dstMemoryType; /**< Destination memory type (host, device, array) */
void *dstHost; /**< Destination host pointer */
CUdeviceptr dstDevice; /**< Destination device pointer */
CUarray dstArray; /**< Destination array reference */
CUcontext dstContext; /**< Destination context (ignored with dstMemoryType is ::CU_MEMORYTYPE_ARRAY) */
size_t dstPitch; /**< Destination pitch (ignored when dst is array) */
size_t dstHeight; /**< Destination height (ignored when dst is array; may be 0 if Depth==1) */
size_t WidthInBytes; /**< Width of 3D memory copy in bytes */
size_t Height; /**< Height of 3D memory copy */
size_t Depth; /**< Depth of 3D memory copy */
} CUDA_MEMCPY3D_PEER;
/**
* Array descriptor
*/
typedef struct CUDA_ARRAY_DESCRIPTOR_st
{
size_t Width; /**< Width of array */
size_t Height; /**< Height of array */
CUarray_format Format; /**< Array format */
unsigned int NumChannels; /**< Channels per array element */
} CUDA_ARRAY_DESCRIPTOR;
/**
* 3D array descriptor
*/
typedef struct CUDA_ARRAY3D_DESCRIPTOR_st
{
size_t Width; /**< Width of 3D array */
size_t Height; /**< Height of 3D array */
size_t Depth; /**< Depth of 3D array */
CUarray_format Format; /**< Array format */
unsigned int NumChannels; /**< Channels per array element */
unsigned int Flags; /**< Flags */
} CUDA_ARRAY3D_DESCRIPTOR;
#endif /* __CUDA_API_VERSION >= 3020 */
/**
* 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_LAYERED 0x01
/**
* Deprecated, use CUDA_ARRAY3D_LAYERED
*/
#define CUDA_ARRAY3D_2DARRAY 0x01
/**
* This flag must be set in order to bind a surface reference
* to the CUDA array
*/
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
/**
* Override the texref format with a format inferred from the array.
* Flag for ::cuTexRefSetArray()
*/
#define CU_TRSA_OVERRIDE_FORMAT 0x01
/**
* Read the texture as integers rather than promoting the values to floats
* in the range [0,1].
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_READ_AS_INTEGER 0x01
/**
* Use normalized texture coordinates in the range [0,1) instead of [0,dim).
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
/**
* Perform sRGB->linear conversion during texture read.
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_SRGB 0x10
/**
* End of array terminator for the \p extra parameter to
* ::cuLaunchKernel
*/
#define CU_LAUNCH_PARAM_END ((void*)0x00)
/**
* Indicator that the next value in the \p extra parameter to
* ::cuLaunchKernel will be a pointer to a buffer containing all kernel
* parameters used for launching kernel \p 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
* \p extra array, then ::CU_LAUNCH_PARAM_BUFFER_POINTER will have no
* effect.
*/
#define CU_LAUNCH_PARAM_BUFFER_POINTER ((void*)0x01)
/**
* Indicator that the next value in the \p 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 \p extra array if the value associated with
* ::CU_LAUNCH_PARAM_BUFFER_SIZE is not zero.
*/
#define CU_LAUNCH_PARAM_BUFFER_SIZE ((void*)0x02)
/**
* For texture references loaded into the module, use default texunit from
* texture reference.
*/
#define CU_PARAM_TR_DEFAULT -1
/**
* CUDA API made obselete at API version 3020
*/
#if defined(__CUDA_API_VERSION_INTERNAL)
#define CUdeviceptr CUdeviceptr_v1
#define CUDA_MEMCPY2D_st CUDA_MEMCPY2D_v1_st
#define CUDA_MEMCPY2D CUDA_MEMCPY2D_v1
#define CUDA_MEMCPY3D_st CUDA_MEMCPY3D_v1_st
#define CUDA_MEMCPY3D CUDA_MEMCPY3D_v1
#define CUDA_ARRAY_DESCRIPTOR_st CUDA_ARRAY_DESCRIPTOR_v1_st
#define CUDA_ARRAY_DESCRIPTOR CUDA_ARRAY_DESCRIPTOR_v1
#define CUDA_ARRAY3D_DESCRIPTOR_st CUDA_ARRAY3D_DESCRIPTOR_v1_st
#define CUDA_ARRAY3D_DESCRIPTOR CUDA_ARRAY3D_DESCRIPTOR_v1
#endif /* CUDA_FORCE_LEGACY32_INTERNAL */
#if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 3020
typedef unsigned int CUdeviceptr;
typedef struct CUDA_MEMCPY2D_st
{
unsigned int srcXInBytes; /**< Source X in bytes */
unsigned int srcY; /**< Source Y */
CUmemorytype srcMemoryType; /**< Source memory type (host, device, array) */
const void *srcHost; /**< Source host pointer */
CUdeviceptr srcDevice; /**< Source device pointer */
CUarray srcArray; /**< Source array reference */
unsigned int srcPitch; /**< Source pitch (ignored when src is array) */
unsigned int dstXInBytes; /**< Destination X in bytes */
unsigned int dstY; /**< Destination Y */
CUmemorytype dstMemoryType; /**< Destination memory type (host, device, array) */
void *dstHost; /**< Destination host pointer */
CUdeviceptr dstDevice; /**< Destination device pointer */
CUarray dstArray; /**< Destination array reference */
unsigned int dstPitch; /**< Destination pitch (ignored when dst is array) */
unsigned int WidthInBytes; /**< Width of 2D memory copy in bytes */
unsigned int Height; /**< Height of 2D memory copy */
} CUDA_MEMCPY2D;
typedef struct CUDA_MEMCPY3D_st
{
unsigned int srcXInBytes; /**< Source X in bytes */
unsigned int srcY; /**< Source Y */
unsigned int srcZ; /**< Source Z */
unsigned int srcLOD; /**< Source LOD */
CUmemorytype srcMemoryType; /**< Source memory type (host, device, array) */
const void *srcHost; /**< Source host pointer */
CUdeviceptr srcDevice; /**< Source device pointer */
CUarray srcArray; /**< Source array reference */
void *reserved0; /**< Must be NULL */
unsigned int srcPitch; /**< Source pitch (ignored when src is array) */
unsigned int srcHeight; /**< Source height (ignored when src is array; may be 0 if Depth==1) */
unsigned int dstXInBytes; /**< Destination X in bytes */
unsigned int dstY; /**< Destination Y */
unsigned int dstZ; /**< Destination Z */
unsigned int dstLOD; /**< Destination LOD */
CUmemorytype dstMemoryType; /**< Destination memory type (host, device, array) */
void *dstHost; /**< Destination host pointer */
CUdeviceptr dstDevice; /**< Destination device pointer */
CUarray dstArray; /**< Destination array reference */
void *reserved1; /**< Must be NULL */
unsigned int dstPitch; /**< Destination pitch (ignored when dst is array) */
unsigned int dstHeight; /**< Destination height (ignored when dst is array; may be 0 if Depth==1) */
unsigned int WidthInBytes; /**< Width of 3D memory copy in bytes */
unsigned int Height; /**< Height of 3D memory copy */
unsigned int Depth; /**< Depth of 3D memory copy */
} CUDA_MEMCPY3D;
typedef struct CUDA_ARRAY_DESCRIPTOR_st
{
unsigned int Width; /**< Width of array */
unsigned int Height; /**< Height of array */
CUarray_format Format; /**< Array format */
unsigned int NumChannels; /**< Channels per array element */
} CUDA_ARRAY_DESCRIPTOR;
typedef struct CUDA_ARRAY3D_DESCRIPTOR_st
{
unsigned int Width; /**< Width of 3D array */
unsigned int Height; /**< Height of 3D array */
unsigned int Depth; /**< Depth of 3D array */
CUarray_format Format; /**< Array format */
unsigned int NumChannels; /**< Channels per array element */
unsigned int Flags; /**< Flags */
} CUDA_ARRAY3D_DESCRIPTOR;
#endif /* (__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 3020 */
/*
* If set, the CUDA array contains an array of 2D slices
* and the Depth member of CUDA_ARRAY3D_DESCRIPTOR specifies
* the number of slices, not the depth of a 3D array.
*/
#define CUDA_ARRAY3D_2DARRAY 0x01
/**
* This flag must be set in order to bind a surface reference
* to the CUDA array
*/
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
/**
* Override the texref format with a format inferred from the array.
* Flag for ::cuTexRefSetArray()
*/
#define CU_TRSA_OVERRIDE_FORMAT 0x01
/**
* Read the texture as integers rather than promoting the values to floats
* in the range [0,1].
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_READ_AS_INTEGER 0x01
/**
* Use normalized texture coordinates in the range [0,1) instead of [0,dim).
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
/**
* Perform sRGB->linear conversion during texture read.
* Flag for ::cuTexRefSetFlags()
*/
#define CU_TRSF_SRGB 0x10
/**
* For texture references loaded into the module, use default texunit from
* texture reference.
*/
#define CU_PARAM_TR_DEFAULT -1
/** @} */ /* END CUDA_TYPES */
#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
#define CUDAAPI __stdcall
#else
#define CUDAAPI
#endif
/**
* \defgroup CUDA_INITIALIZE Initialization
*
* This section describes the initialization functions of the low-level CUDA
* driver application programming interface.
*
* @{
*/
/*********************************
** Initialization
*********************************/
typedef CUresult CUDAAPI tcuInit(unsigned int Flags);
/*********************************
** Driver Version Query
*********************************/
typedef CUresult CUDAAPI tcuDriverGetVersion(int *driverVersion);
/************************************
**
** Device management
**
***********************************/
typedef CUresult CUDAAPI tcuDeviceGet(CUdevice *device, int ordinal);
typedef CUresult CUDAAPI tcuDeviceGetCount(int *count);
typedef CUresult CUDAAPI tcuDeviceGetName(char *name, int len, CUdevice dev);
typedef CUresult CUDAAPI tcuDeviceComputeCapability(int *major, int *minor, CUdevice dev);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuDeviceTotalMem(size_t *bytes, CUdevice dev);
#else
typedef CUresult CUDAAPI tcuDeviceTotalMem(unsigned int *bytes, CUdevice dev);
#endif
typedef CUresult CUDAAPI tcuDeviceGetProperties(CUdevprop *prop, CUdevice dev);
typedef CUresult CUDAAPI tcuDeviceGetAttribute(int *pi, CUdevice_attribute attrib, CUdevice dev);
/************************************
**
** Context management
**
***********************************/
typedef CUresult CUDAAPI tcuCtxCreate(CUcontext *pctx, unsigned int flags, CUdevice dev);
typedef CUresult CUDAAPI tcuCtxDestroy(CUcontext ctx);
typedef CUresult CUDAAPI tcuCtxAttach(CUcontext *pctx, unsigned int flags);
typedef CUresult CUDAAPI tcuCtxDetach(CUcontext ctx);
typedef CUresult CUDAAPI tcuCtxPushCurrent(CUcontext ctx);
typedef CUresult CUDAAPI tcuCtxPopCurrent(CUcontext *pctx);
typedef CUresult CUDAAPI tcuCtxSetCurrent(CUcontext ctx);
typedef CUresult CUDAAPI tcuCtxGetCurrent(CUcontext *pctx);
typedef CUresult CUDAAPI tcuCtxGetDevice(CUdevice *device);
typedef CUresult CUDAAPI tcuCtxSynchronize(void);
/************************************
**
** Module management
**
***********************************/
typedef CUresult CUDAAPI tcuModuleLoad(CUmodule *module, const char *fname);
typedef CUresult CUDAAPI tcuModuleLoadData(CUmodule *module, const void *image);
typedef CUresult CUDAAPI tcuModuleLoadDataEx(CUmodule *module, const void *image, unsigned int numOptions, CUjit_option *options, void **optionValues);
typedef CUresult CUDAAPI tcuModuleLoadFatBinary(CUmodule *module, const void *fatCubin);
typedef CUresult CUDAAPI tcuModuleUnload(CUmodule hmod);
typedef CUresult CUDAAPI tcuModuleGetFunction(CUfunction *hfunc, CUmodule hmod, const char *name);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuModuleGetGlobal(CUdeviceptr *dptr, size_t *bytes, CUmodule hmod, const char *name);
#else
typedef CUresult CUDAAPI tcuModuleGetGlobal(CUdeviceptr *dptr, unsigned int *bytes, CUmodule hmod, const char *name);
#endif
typedef CUresult CUDAAPI tcuModuleGetTexRef(CUtexref *pTexRef, CUmodule hmod, const char *name);
typedef CUresult CUDAAPI tcuModuleGetSurfRef(CUsurfref *pSurfRef, CUmodule hmod, const char *name);
/************************************
**
** Memory management
**
***********************************/
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuMemGetInfo(size_t *free, size_t *total);
typedef CUresult CUDAAPI tcuMemAlloc(CUdeviceptr *dptr, size_t bytesize);
typedef CUresult CUDAAPI tcuMemGetAddressRange(CUdeviceptr *pbase, size_t *psize, CUdeviceptr dptr);
typedef CUresult CUDAAPI tcuMemAllocPitch(CUdeviceptr *dptr,
size_t *pPitch,
size_t WidthInBytes,
size_t Height,
// size of biggest r/w to be performed by kernels on this memory
// 4, 8 or 16 bytes
unsigned int ElementSizeBytes
);
#else
typedef CUresult CUDAAPI tcuMemGetInfo(unsigned int *free, unsigned int *total);
typedef CUresult CUDAAPI tcuMemAlloc(CUdeviceptr *dptr, unsigned int bytesize);
typedef CUresult CUDAAPI tcuMemGetAddressRange(CUdeviceptr *pbase, unsigned int *psize, CUdeviceptr dptr);
typedef CUresult CUDAAPI tcuMemAllocPitch(CUdeviceptr *dptr,
unsigned int *pPitch,
unsigned int WidthInBytes,
unsigned int Height,
// size of biggest r/w to be performed by kernels on this memory
// 4, 8 or 16 bytes
unsigned int ElementSizeBytes
);
#endif
typedef CUresult CUDAAPI tcuMemFree(CUdeviceptr dptr);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuMemAllocHost(void **pp, size_t bytesize);
#else
typedef CUresult CUDAAPI tcuMemAllocHost(void **pp, unsigned int bytesize);
#endif
typedef CUresult CUDAAPI tcuMemFreeHost(void *p);
typedef CUresult CUDAAPI tcuMemHostAlloc(void **pp, size_t bytesize, unsigned int Flags);
typedef CUresult CUDAAPI tcuMemHostGetDevicePointer(CUdeviceptr *pdptr, void *p, unsigned int Flags);
typedef CUresult CUDAAPI tcuMemHostGetFlags(unsigned int *pFlags, void *p);
typedef CUresult CUDAAPI tcuMemHostRegister(void *p, size_t bytesize, unsigned int Flags);
typedef CUresult CUDAAPI tcuMemHostUnregister(void *p);;
typedef CUresult CUDAAPI tcuMemcpy(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount);
typedef CUresult CUDAAPI tcuMemcpyPeer(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount);
/************************************
**
** Synchronous Memcpy
**
** Intra-device memcpy's done with these functions may execute in parallel with the CPU,
** but if host memory is involved, they wait until the copy is done before returning.
**
***********************************/
// 1D functions
#if __CUDA_API_VERSION >= 3020
// system <-> device memory
typedef CUresult CUDAAPI tcuMemcpyHtoD(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount);
typedef CUresult CUDAAPI tcuMemcpyDtoH(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount);
// device <-> device memory
typedef CUresult CUDAAPI tcuMemcpyDtoD(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount);
// device <-> array memory
typedef CUresult CUDAAPI tcuMemcpyDtoA(CUarray dstArray, size_t dstOffset, CUdeviceptr srcDevice, size_t ByteCount);
typedef CUresult CUDAAPI tcuMemcpyAtoD(CUdeviceptr dstDevice, CUarray srcArray, size_t srcOffset, size_t ByteCount);
// system <-> array memory
typedef CUresult CUDAAPI tcuMemcpyHtoA(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount);
typedef CUresult CUDAAPI tcuMemcpyAtoH(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount);
// array <-> array memory
typedef CUresult CUDAAPI tcuMemcpyAtoA(CUarray dstArray, size_t dstOffset, CUarray srcArray, size_t srcOffset, size_t ByteCount);
#else
// system <-> device memory
typedef CUresult CUDAAPI tcuMemcpyHtoD(CUdeviceptr dstDevice, const void *srcHost, unsigned int ByteCount);
typedef CUresult CUDAAPI tcuMemcpyDtoH(void *dstHost, CUdeviceptr srcDevice, unsigned int ByteCount);
// device <-> device memory
typedef CUresult CUDAAPI tcuMemcpyDtoD(CUdeviceptr dstDevice, CUdeviceptr srcDevice, unsigned int ByteCount);
// device <-> array memory
typedef CUresult CUDAAPI tcuMemcpyDtoA(CUarray dstArray, unsigned int dstOffset, CUdeviceptr srcDevice, unsigned int ByteCount);
typedef CUresult CUDAAPI tcuMemcpyAtoD(CUdeviceptr dstDevice, CUarray srcArray, unsigned int srcOffset, unsigned int ByteCount);
// system <-> array memory
typedef CUresult CUDAAPI tcuMemcpyHtoA(CUarray dstArray, unsigned int dstOffset, const void *srcHost, unsigned int ByteCount);
typedef CUresult CUDAAPI tcuMemcpyAtoH(void *dstHost, CUarray srcArray, unsigned int srcOffset, unsigned int ByteCount);
// array <-> array memory
typedef CUresult CUDAAPI tcuMemcpyAtoA(CUarray dstArray, unsigned int dstOffset, CUarray srcArray, unsigned int srcOffset, unsigned int ByteCount);
#endif
// 2D memcpy
typedef CUresult CUDAAPI tcuMemcpy2D(const CUDA_MEMCPY2D *pCopy);
typedef CUresult CUDAAPI tcuMemcpy2DUnaligned(const CUDA_MEMCPY2D *pCopy);
// 3D memcpy
typedef CUresult CUDAAPI tcuMemcpy3D(const CUDA_MEMCPY3D *pCopy);
/************************************
**
** Asynchronous Memcpy
**
** Any host memory involved must be DMA'able (e.g., allocated with cuMemAllocHost).
** memcpy's done with these functions execute in parallel with the CPU and, if
** the hardware is available, may execute in parallel with the GPU.
** Asynchronous memcpy must be accompanied by appropriate stream synchronization.
**
***********************************/
// 1D functions
#if __CUDA_API_VERSION >= 3020
// system <-> device memory
typedef CUresult CUDAAPI tcuMemcpyHtoDAsync(CUdeviceptr dstDevice,
const void *srcHost, size_t ByteCount, CUstream hStream);
typedef CUresult CUDAAPI tcuMemcpyDtoHAsync(void *dstHost,
CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream);
// device <-> device memory
typedef CUresult CUDAAPI tcuMemcpyDtoDAsync(CUdeviceptr dstDevice,
CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream);
// system <-> array memory
typedef CUresult CUDAAPI tcuMemcpyHtoAAsync(CUarray dstArray, size_t dstOffset,
const void *srcHost, size_t ByteCount, CUstream hStream);
typedef CUresult CUDAAPI tcuMemcpyAtoHAsync(void *dstHost, CUarray srcArray, size_t srcOffset,
size_t ByteCount, CUstream hStream);
#else
// system <-> device memory
typedef CUresult CUDAAPI tcuMemcpyHtoDAsync(CUdeviceptr dstDevice,
const void *srcHost, unsigned int ByteCount, CUstream hStream);
typedef CUresult CUDAAPI tcuMemcpyDtoHAsync(void *dstHost,
CUdeviceptr srcDevice, unsigned int ByteCount, CUstream hStream);
// device <-> device memory
typedef CUresult CUDAAPI tcuMemcpyDtoDAsync(CUdeviceptr dstDevice,
CUdeviceptr srcDevice, unsigned int ByteCount, CUstream hStream);
// system <-> array memory
typedef CUresult CUDAAPI tcuMemcpyHtoAAsync(CUarray dstArray, unsigned int dstOffset,
const void *srcHost, unsigned int ByteCount, CUstream hStream);
typedef CUresult CUDAAPI tcuMemcpyAtoHAsync(void *dstHost, CUarray srcArray, unsigned int srcOffset,
unsigned int ByteCount, CUstream hStream);
#endif
// 2D memcpy
typedef CUresult CUDAAPI tcuMemcpy2DAsync(const CUDA_MEMCPY2D *pCopy, CUstream hStream);
// 3D memcpy
typedef CUresult CUDAAPI tcuMemcpy3DAsync(const CUDA_MEMCPY3D *pCopy, CUstream hStream);
/************************************
**
** Memset
**
***********************************/
typedef CUresult CUDAAPI tcuMemsetD8(CUdeviceptr dstDevice, unsigned char uc, unsigned int N);
typedef CUresult CUDAAPI tcuMemsetD16(CUdeviceptr dstDevice, unsigned short us, unsigned int N);
typedef CUresult CUDAAPI tcuMemsetD32(CUdeviceptr dstDevice, unsigned int ui, unsigned int N);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuMemsetD2D8(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned char uc, size_t Width, size_t Height);
typedef CUresult CUDAAPI tcuMemsetD2D16(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned short us, size_t Width, size_t Height);
typedef CUresult CUDAAPI tcuMemsetD2D32(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned int ui, size_t Width, size_t Height);
#else
typedef CUresult CUDAAPI tcuMemsetD2D8(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned char uc, unsigned int Width, unsigned int Height);
typedef CUresult CUDAAPI tcuMemsetD2D16(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned short us, unsigned int Width, unsigned int Height);
typedef CUresult CUDAAPI tcuMemsetD2D32(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned int ui, unsigned int Width, unsigned int Height);
#endif
/************************************
**
** Function management
**
***********************************/
typedef CUresult CUDAAPI tcuFuncSetBlockShape(CUfunction hfunc, int x, int y, int z);
typedef CUresult CUDAAPI tcuFuncSetSharedSize(CUfunction hfunc, unsigned int bytes);
typedef CUresult CUDAAPI tcuFuncGetAttribute(int *pi, CUfunction_attribute attrib, CUfunction hfunc);
typedef CUresult CUDAAPI tcuFuncSetCacheConfig(CUfunction hfunc, CUfunc_cache config);
typedef CUresult CUDAAPI tcuLaunchKernel(CUfunction f,
unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ,
unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ,
unsigned int sharedMemBytes,
CUstream hStream, void **kernelParams, void **extra);
/************************************
**
** Array management
**
***********************************/
typedef CUresult CUDAAPI tcuArrayCreate(CUarray *pHandle, const CUDA_ARRAY_DESCRIPTOR *pAllocateArray);
typedef CUresult CUDAAPI tcuArrayGetDescriptor(CUDA_ARRAY_DESCRIPTOR *pArrayDescriptor, CUarray hArray);
typedef CUresult CUDAAPI tcuArrayDestroy(CUarray hArray);
typedef CUresult CUDAAPI tcuArray3DCreate(CUarray *pHandle, const CUDA_ARRAY3D_DESCRIPTOR *pAllocateArray);
typedef CUresult CUDAAPI tcuArray3DGetDescriptor(CUDA_ARRAY3D_DESCRIPTOR *pArrayDescriptor, CUarray hArray);
/************************************
**
** Texture reference management
**
***********************************/
typedef CUresult CUDAAPI tcuTexRefCreate(CUtexref *pTexRef);
typedef CUresult CUDAAPI tcuTexRefDestroy(CUtexref hTexRef);
typedef CUresult CUDAAPI tcuTexRefSetArray(CUtexref hTexRef, CUarray hArray, unsigned int Flags);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuTexRefSetAddress(size_t *ByteOffset, CUtexref hTexRef, CUdeviceptr dptr, size_t bytes);
typedef CUresult CUDAAPI tcuTexRefSetAddress2D(CUtexref hTexRef, const CUDA_ARRAY_DESCRIPTOR *desc, CUdeviceptr dptr, size_t Pitch);
#else
typedef CUresult CUDAAPI tcuTexRefSetAddress(unsigned int *ByteOffset, CUtexref hTexRef, CUdeviceptr dptr, unsigned int bytes);
typedef CUresult CUDAAPI tcuTexRefSetAddress2D(CUtexref hTexRef, const CUDA_ARRAY_DESCRIPTOR *desc, CUdeviceptr dptr, unsigned int Pitch);
#endif
typedef CUresult CUDAAPI tcuTexRefSetFormat(CUtexref hTexRef, CUarray_format fmt, int NumPackedComponents);
typedef CUresult CUDAAPI tcuTexRefSetAddressMode(CUtexref hTexRef, int dim, CUaddress_mode am);
typedef CUresult CUDAAPI tcuTexRefSetFilterMode(CUtexref hTexRef, CUfilter_mode fm);
typedef CUresult CUDAAPI tcuTexRefSetFlags(CUtexref hTexRef, unsigned int Flags);
typedef CUresult CUDAAPI tcuTexRefGetAddress(CUdeviceptr *pdptr, CUtexref hTexRef);
typedef CUresult CUDAAPI tcuTexRefGetArray(CUarray *phArray, CUtexref hTexRef);
typedef CUresult CUDAAPI tcuTexRefGetAddressMode(CUaddress_mode *pam, CUtexref hTexRef, int dim);
typedef CUresult CUDAAPI tcuTexRefGetFilterMode(CUfilter_mode *pfm, CUtexref hTexRef);
typedef CUresult CUDAAPI tcuTexRefGetFormat(CUarray_format *pFormat, int *pNumChannels, CUtexref hTexRef);
typedef CUresult CUDAAPI tcuTexRefGetFlags(unsigned int *pFlags, CUtexref hTexRef);
/************************************
**
** Surface reference management
**
***********************************/
typedef CUresult CUDAAPI tcuSurfRefSetArray(CUsurfref hSurfRef, CUarray hArray, unsigned int Flags);
typedef CUresult CUDAAPI tcuSurfRefGetArray(CUarray *phArray, CUsurfref hSurfRef);
/************************************
**
** Parameter management
**
***********************************/
typedef CUresult CUDAAPI tcuParamSetSize(CUfunction hfunc, unsigned int numbytes);
typedef CUresult CUDAAPI tcuParamSeti(CUfunction hfunc, int offset, unsigned int value);
typedef CUresult CUDAAPI tcuParamSetf(CUfunction hfunc, int offset, float value);
typedef CUresult CUDAAPI tcuParamSetv(CUfunction hfunc, int offset, void *ptr, unsigned int numbytes);
typedef CUresult CUDAAPI tcuParamSetTexRef(CUfunction hfunc, int texunit, CUtexref hTexRef);
/************************************
**
** Launch functions
**
***********************************/
typedef CUresult CUDAAPI tcuLaunch(CUfunction f);
typedef CUresult CUDAAPI tcuLaunchGrid(CUfunction f, int grid_width, int grid_height);
typedef CUresult CUDAAPI tcuLaunchGridAsync(CUfunction f, int grid_width, int grid_height, CUstream hStream);
/************************************
**
** Events
**
***********************************/
typedef CUresult CUDAAPI tcuEventCreate(CUevent *phEvent, unsigned int Flags);
typedef CUresult CUDAAPI tcuEventRecord(CUevent hEvent, CUstream hStream);
typedef CUresult CUDAAPI tcuEventQuery(CUevent hEvent);
typedef CUresult CUDAAPI tcuEventSynchronize(CUevent hEvent);
typedef CUresult CUDAAPI tcuEventDestroy(CUevent hEvent);
typedef CUresult CUDAAPI tcuEventElapsedTime(float *pMilliseconds, CUevent hStart, CUevent hEnd);
/************************************
**
** Streams
**
***********************************/
typedef CUresult CUDAAPI tcuStreamCreate(CUstream *phStream, unsigned int Flags);
typedef CUresult CUDAAPI tcuStreamQuery(CUstream hStream);
typedef CUresult CUDAAPI tcuStreamSynchronize(CUstream hStream);
typedef CUresult CUDAAPI tcuStreamDestroy(CUstream hStream);
/************************************
**
** Graphics interop
**
***********************************/
typedef CUresult CUDAAPI tcuGraphicsUnregisterResource(CUgraphicsResource resource);
typedef CUresult CUDAAPI tcuGraphicsSubResourceGetMappedArray(CUarray *pArray, CUgraphicsResource resource, unsigned int arrayIndex, unsigned int mipLevel);
#if __CUDA_API_VERSION >= 3020
typedef CUresult CUDAAPI tcuGraphicsResourceGetMappedPointer(CUdeviceptr *pDevPtr, size_t *pSize, CUgraphicsResource resource);
#else
typedef CUresult CUDAAPI tcuGraphicsResourceGetMappedPointer(CUdeviceptr *pDevPtr, unsigned int *pSize, CUgraphicsResource resource);
#endif
typedef CUresult CUDAAPI tcuGraphicsResourceSetMapFlags(CUgraphicsResource resource, unsigned int flags);
typedef CUresult CUDAAPI tcuGraphicsMapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream);
typedef CUresult CUDAAPI tcuGraphicsUnmapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream);
/************************************
**
** Export tables
**
***********************************/
typedef CUresult CUDAAPI tcuGetExportTable(const void **ppExportTable, const CUuuid *pExportTableId);
/************************************
**
** Limits
**
***********************************/
typedef CUresult CUDAAPI tcuCtxSetLimit(CUlimit limit, size_t value);
typedef CUresult CUDAAPI tcuCtxGetLimit(size_t *pvalue, CUlimit limit);
/************************************
************************************/
extern CUresult CUDAAPI cuInit(unsigned int, int cudaVersion);
extern tcuDriverGetVersion *cuDriverGetVersion;
extern tcuDeviceGet *cuDeviceGet;
extern tcuDeviceGetCount *cuDeviceGetCount;
extern tcuDeviceGetName *cuDeviceGetName;
extern tcuDeviceComputeCapability *cuDeviceComputeCapability;
extern tcuDeviceGetProperties *cuDeviceGetProperties;
extern tcuDeviceGetAttribute *cuDeviceGetAttribute;
extern tcuCtxDestroy *cuCtxDestroy;
extern tcuCtxAttach *cuCtxAttach;
extern tcuCtxDetach *cuCtxDetach;
extern tcuCtxPushCurrent *cuCtxPushCurrent;
extern tcuCtxPopCurrent *cuCtxPopCurrent;
extern tcuCtxSetCurrent *cuCtxSetCurrent;
extern tcuCtxGetCurrent *cuCtxGetCurrent;
extern tcuCtxGetDevice *cuCtxGetDevice;
extern tcuCtxSynchronize *cuCtxSynchronize;
extern tcuModuleLoad *cuModuleLoad;
extern tcuModuleLoadData *cuModuleLoadData;
extern tcuModuleLoadDataEx *cuModuleLoadDataEx;
extern tcuModuleLoadFatBinary *cuModuleLoadFatBinary;
extern tcuModuleUnload *cuModuleUnload;
extern tcuModuleGetFunction *cuModuleGetFunction;
extern tcuModuleGetTexRef *cuModuleGetTexRef;
extern tcuModuleGetSurfRef *cuModuleGetSurfRef;
extern tcuMemFreeHost *cuMemFreeHost;
extern tcuMemHostAlloc *cuMemHostAlloc;
extern tcuMemHostGetFlags *cuMemHostGetFlags;
extern tcuMemHostRegister *cuMemHostRegister;
extern tcuMemHostUnregister *cuMemHostUnregister;
extern tcuMemcpy *cuMemcpy;
extern tcuMemcpyPeer *cuMemcpyPeer;
extern tcuDeviceTotalMem *cuDeviceTotalMem;
extern tcuCtxCreate *cuCtxCreate;
extern tcuModuleGetGlobal *cuModuleGetGlobal;
extern tcuMemGetInfo *cuMemGetInfo;
extern tcuMemAlloc *cuMemAlloc;
extern tcuMemAllocPitch *cuMemAllocPitch;
extern tcuMemFree *cuMemFree;
extern tcuMemGetAddressRange *cuMemGetAddressRange;
extern tcuMemAllocHost *cuMemAllocHost;
extern tcuMemHostGetDevicePointer *cuMemHostGetDevicePointer;
extern tcuFuncSetBlockShape *cuFuncSetBlockShape;
extern tcuFuncSetSharedSize *cuFuncSetSharedSize;
extern tcuFuncGetAttribute *cuFuncGetAttribute;
extern tcuFuncSetCacheConfig *cuFuncSetCacheConfig;
extern tcuLaunchKernel *cuLaunchKernel;
extern tcuArrayDestroy *cuArrayDestroy;
extern tcuTexRefCreate *cuTexRefCreate;
extern tcuTexRefDestroy *cuTexRefDestroy;
extern tcuTexRefSetArray *cuTexRefSetArray;
extern tcuTexRefSetFormat *cuTexRefSetFormat;
extern tcuTexRefSetAddressMode *cuTexRefSetAddressMode;
extern tcuTexRefSetFilterMode *cuTexRefSetFilterMode;
extern tcuTexRefSetFlags *cuTexRefSetFlags;
extern tcuTexRefGetArray *cuTexRefGetArray;
extern tcuTexRefGetAddressMode *cuTexRefGetAddressMode;
extern tcuTexRefGetFilterMode *cuTexRefGetFilterMode;
extern tcuTexRefGetFormat *cuTexRefGetFormat;
extern tcuTexRefGetFlags *cuTexRefGetFlags;
extern tcuSurfRefSetArray *cuSurfRefSetArray;
extern tcuSurfRefGetArray *cuSurfRefGetArray;
extern tcuParamSetSize *cuParamSetSize;
extern tcuParamSeti *cuParamSeti;
extern tcuParamSetf *cuParamSetf;
extern tcuParamSetv *cuParamSetv;
extern tcuParamSetTexRef *cuParamSetTexRef;
extern tcuLaunch *cuLaunch;
extern tcuLaunchGrid *cuLaunchGrid;
extern tcuLaunchGridAsync *cuLaunchGridAsync;
extern tcuEventCreate *cuEventCreate;
extern tcuEventRecord *cuEventRecord;
extern tcuEventQuery *cuEventQuery;
extern tcuEventSynchronize *cuEventSynchronize;
extern tcuEventDestroy *cuEventDestroy;
extern tcuEventElapsedTime *cuEventElapsedTime;
extern tcuStreamCreate *cuStreamCreate;
extern tcuStreamQuery *cuStreamQuery;
extern tcuStreamSynchronize *cuStreamSynchronize;
extern tcuStreamDestroy *cuStreamDestroy;
extern tcuGraphicsUnregisterResource *cuGraphicsUnregisterResource;
extern tcuGraphicsSubResourceGetMappedArray *cuGraphicsSubResourceGetMappedArray;
extern tcuGraphicsResourceSetMapFlags *cuGraphicsResourceSetMapFlags;
extern tcuGraphicsMapResources *cuGraphicsMapResources;
extern tcuGraphicsUnmapResources *cuGraphicsUnmapResources;
extern tcuGetExportTable *cuGetExportTable;
extern tcuCtxSetLimit *cuCtxSetLimit;
extern tcuCtxGetLimit *cuCtxGetLimit;
// These functions could be using the CUDA 3.2 interface (_v2)
extern tcuMemcpyHtoD *cuMemcpyHtoD;
extern tcuMemcpyDtoH *cuMemcpyDtoH;
extern tcuMemcpyDtoD *cuMemcpyDtoD;
extern tcuMemcpyDtoA *cuMemcpyDtoA;
extern tcuMemcpyAtoD *cuMemcpyAtoD;
extern tcuMemcpyHtoA *cuMemcpyHtoA;
extern tcuMemcpyAtoH *cuMemcpyAtoH;
extern tcuMemcpyAtoA *cuMemcpyAtoA;
extern tcuMemcpy2D *cuMemcpy2D;
extern tcuMemcpy2DUnaligned *cuMemcpy2DUnaligned;
extern tcuMemcpy3D *cuMemcpy3D;
extern tcuMemcpyHtoDAsync *cuMemcpyHtoDAsync;
extern tcuMemcpyDtoHAsync *cuMemcpyDtoHAsync;
extern tcuMemcpyDtoDAsync *cuMemcpyDtoDAsync;
extern tcuMemcpyHtoAAsync *cuMemcpyHtoAAsync;
extern tcuMemcpyAtoHAsync *cuMemcpyAtoHAsync;
extern tcuMemcpy2DAsync *cuMemcpy2DAsync;
extern tcuMemcpy3DAsync *cuMemcpy3DAsync;
extern tcuMemsetD8 *cuMemsetD8;
extern tcuMemsetD16 *cuMemsetD16;
extern tcuMemsetD32 *cuMemsetD32;
extern tcuMemsetD2D8 *cuMemsetD2D8;
extern tcuMemsetD2D16 *cuMemsetD2D16;
extern tcuMemsetD2D32 *cuMemsetD2D32;
extern tcuArrayCreate *cuArrayCreate;
extern tcuArrayGetDescriptor *cuArrayGetDescriptor;
extern tcuArray3DCreate *cuArray3DCreate;
extern tcuArray3DGetDescriptor *cuArray3DGetDescriptor;
extern tcuTexRefSetAddress *cuTexRefSetAddress;
extern tcuTexRefSetAddress2D *cuTexRefSetAddress2D;
extern tcuTexRefGetAddress *cuTexRefGetAddress;
extern tcuGraphicsResourceGetMappedPointer *cuGraphicsResourceGetMappedPointer;
#ifdef __cplusplus
}
#endif
//#undef __CUDA_API_VERSION
#endif //__cuda_drvapi_dynlink_cuda_h__