text: /*
   * Copyright 1993-2012 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>
  
  
  #define __cuda_cuda_h__ 1
  
  /**
   * CUDA API versioning support
   */
  #define __CUDA_API_VERSION 5000
  
  /**
   * \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 CUmipmappedArray_st *CUmipmappedArray;     /**< CUDA mipmapped 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 unsigned long long CUtexObject;                   /**< CUDA texture object */
      typedef unsigned long long CUsurfObject;                  /**< CUDA surface object */
  
      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;
  
      /**
       * Shared memory configurations
       */
      typedef enum CUsharedconfig_enum
      {
          CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE    = 0x00, /**< set default shared memory bank size */
          CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE  = 0x01, /**< set shared memory bank width to four bytes */
          CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE = 0x02  /**< set shared memory bank width to eight bytes */
      } CUsharedconfig;
  
      /**
       * 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 messages 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;
  
      /**
       * Resource types
       */
      typedef enum CUresourcetype_enum
      {
          CU_RESOURCE_TYPE_ARRAY           = 0x00, /**< Array resource */
          CU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 0x01, /**< Mipmapped array resource */
          CU_RESOURCE_TYPE_LINEAR          = 0x02, /**< Linear resource */
          CU_RESOURCE_TYPE_PITCH2D         = 0x03  /**< Pitch 2D resource */
      } CUresourcetype;
  
      /**
       * 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,
  
          /**
           * 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_ASSERT                         = 710,
  
          /**
           * 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_TOO_MANY_PEERS                 = 711,
  
          /**
           * This error indicates that the memory range passed to ::cuMemHostRegister()
           * has already been registered.
           */
          CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED = 712,
  
          /**
           * This error indicates that the pointer passed to ::cuMemHostUnregister()
           * does not correspond to any currently registered memory region.
           */
          CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED     = 713,
  
          /**
           * This indicates that an unknown internal error has occurred.
           */
          CUDA_ERROR_UNKNOWN                        = 999
      } CUresult;
  
  #ifdef _WIN32
  #define CUDA_CB __stdcall
  #else
  #define CUDA_CB
  #endif
  
      /**
       * CUDA stream callback
       * \param hStream The stream the callback was added to, as passed to ::cuStreamAddCallback.  May be NULL.
       * \param status ::CUDA_SUCCESS or any persistent error on the stream.
       * \param userData User parameter provided at registration.
       */
      typedef void (CUDA_CB *CUstreamCallback)(CUstream hStream, CUresult status, void *userData);
  
  #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 __CUDA_API_VERSION >= 5000
      /**
       * CUDA Resource descriptor
       */
      typedef struct CUDA_RESOURCE_DESC_st
      {
          CUresourcetype resType;                   /**< Resource type */
  
          union
          {
              struct
              {
                  CUarray hArray;                   /**< CUDA array */
              } array;
              struct
              {
                  CUmipmappedArray hMipmappedArray; /**< CUDA mipmapped array */
              } mipmap;
              struct
              {
                  CUdeviceptr devPtr;               /**< Device pointer */
                  CUarray_format format;            /**< Array format */
                  unsigned int numChannels;         /**< Channels per array element */
                  size_t sizeInBytes;               /**< Size in bytes */
              } linear;
              struct
              {
                  CUdeviceptr devPtr;               /**< Device pointer */
                  CUarray_format format;            /**< Array format */
                  unsigned int numChannels;         /**< Channels per array element */
                  size_t width;                     /**< Width of the array in elements */
                  size_t height;                    /**< Height of the array in elements */
                  size_t pitchInBytes;              /**< Pitch between two rows in bytes */
              } pitch2D;
              struct
              {
                  int reserved[32];
              } __reserved;
          } res;
  
          unsigned int flags;                       /**< Flags (must be zero) */
      } CUDA_RESOURCE_DESC;
  
      /**
       * Texture descriptor
       */
      typedef struct CUDA_TEXTURE_DESC_st
      {
          CUaddress_mode addressMode[3];  /**< Address modes */
          CUfilter_mode filterMode;       /**< Filter mode */
          unsigned int flags;             /**< Flags */
          unsigned int maxAnisotropy;     /**< Maximum anistropy ratio */
          CUfilter_mode mipmapFilterMode; /**< Mipmap filter mode */
          float mipmapLevelBias;          /**< Mipmap level bias */
          float minMipmapLevelClamp;      /**< Mipmap minimum level clamp */
          float maxMipmapLevelClamp;      /**< Mipmap maximum level clamp */
          int _reserved[16];
      } CUDA_TEXTURE_DESC;
  
      /**
       * Resource view format
       */
      typedef enum CUresourceViewFormat_enum
      {
          CU_RES_VIEW_FORMAT_NONE          = 0x00, /**< No resource view format (use underlying resource format) */
          CU_RES_VIEW_FORMAT_UINT_1X8      = 0x01, /**< 1 channel unsigned 8-bit integers */
          CU_RES_VIEW_FORMAT_UINT_2X8      = 0x02, /**< 2 channel unsigned 8-bit integers */
          CU_RES_VIEW_FORMAT_UINT_4X8      = 0x03, /**< 4 channel unsigned 8-bit integers */
          CU_RES_VIEW_FORMAT_SINT_1X8      = 0x04, /**< 1 channel signed 8-bit integers */
          CU_RES_VIEW_FORMAT_SINT_2X8      = 0x05, /**< 2 channel signed 8-bit integers */
          CU_RES_VIEW_FORMAT_SINT_4X8      = 0x06, /**< 4 channel signed 8-bit integers */
          CU_RES_VIEW_FORMAT_UINT_1X16     = 0x07, /**< 1 channel unsigned 16-bit integers */
          CU_RES_VIEW_FORMAT_UINT_2X16     = 0x08, /**< 2 channel unsigned 16-bit integers */
          CU_RES_VIEW_FORMAT_UINT_4X16     = 0x09, /**< 4 channel unsigned 16-bit integers */
          CU_RES_VIEW_FORMAT_SINT_1X16     = 0x0a, /**< 1 channel signed 16-bit integers */
          CU_RES_VIEW_FORMAT_SINT_2X16     = 0x0b, /**< 2 channel signed 16-bit integers */
          CU_RES_VIEW_FORMAT_SINT_4X16     = 0x0c, /**< 4 channel signed 16-bit integers */
          CU_RES_VIEW_FORMAT_UINT_1X32     = 0x0d, /**< 1 channel unsigned 32-bit integers */
          CU_RES_VIEW_FORMAT_UINT_2X32     = 0x0e, /**< 2 channel unsigned 32-bit integers */
          CU_RES_VIEW_FORMAT_UINT_4X32     = 0x0f, /**< 4 channel unsigned 32-bit integers */
          CU_RES_VIEW_FORMAT_SINT_1X32     = 0x10, /**< 1 channel signed 32-bit integers */
          CU_RES_VIEW_FORMAT_SINT_2X32     = 0x11, /**< 2 channel signed 32-bit integers */
          CU_RES_VIEW_FORMAT_SINT_4X32     = 0x12, /**< 4 channel signed 32-bit integers */
          CU_RES_VIEW_FORMAT_FLOAT_1X16    = 0x13, /**< 1 channel 16-bit floating point */
          CU_RES_VIEW_FORMAT_FLOAT_2X16    = 0x14, /**< 2 channel 16-bit floating point */
          CU_RES_VIEW_FORMAT_FLOAT_4X16    = 0x15, /**< 4 channel 16-bit floating point */
          CU_RES_VIEW_FORMAT_FLOAT_1X32    = 0x16, /**< 1 channel 32-bit floating point */
          CU_RES_VIEW_FORMAT_FLOAT_2X32    = 0x17, /**< 2 channel 32-bit floating point */
          CU_RES_VIEW_FORMAT_FLOAT_4X32    = 0x18, /**< 4 channel 32-bit floating point */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC1  = 0x19, /**< Block compressed 1 */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC2  = 0x1a, /**< Block compressed 2 */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC3  = 0x1b, /**< Block compressed 3 */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC4  = 0x1c, /**< Block compressed 4 unsigned */
          CU_RES_VIEW_FORMAT_SIGNED_BC4    = 0x1d, /**< Block compressed 4 signed */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC5  = 0x1e, /**< Block compressed 5 unsigned */
          CU_RES_VIEW_FORMAT_SIGNED_BC5    = 0x1f, /**< Block compressed 5 signed */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC6H = 0x20, /**< Block compressed 6 unsigned half-float */
          CU_RES_VIEW_FORMAT_SIGNED_BC6H   = 0x21, /**< Block compressed 6 signed half-float */
          CU_RES_VIEW_FORMAT_UNSIGNED_BC7  = 0x22  /**< Block compressed 7 */
      } CUresourceViewFormat;
  
      /**
       * Resource view descriptor
       */
      typedef struct CUDA_RESOURCE_VIEW_DESC_st
      {
          CUresourceViewFormat format;   /**< Resource view format */
          size_t width;                  /**< Width of the resource view */
          size_t height;                 /**< Height of the resource view */
          size_t depth;                  /**< Depth of the resource view */
          unsigned int firstMipmapLevel; /**< First defined mipmap level */
          unsigned int lastMipmapLevel;  /**< Last defined mipmap level */
          unsigned int firstLayer;       /**< First layer index */
          unsigned int lastLayer;        /**< Last layer index */
          unsigned int _reserved[16];
      } CUDA_RESOURCE_VIEW_DESC;
  
      /**
       * GPU Direct v3 tokens
       */
      typedef struct CUDA_POINTER_ATTRIBUTE_P2P_TOKENS_st
      {
          unsigned long long p2pToken;
          unsigned int vaSpaceToken;
      } CUDA_POINTER_ATTRIBUTE_P2P_TOKENS;
  #endif
  
  
  
      /**
       * 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 */
  
  #ifdef _WIN32
  #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);
      typedef CUresult CUDAAPI tcuMemHostGetDevicePointer(CUdeviceptr *pdptr, void *p, unsigned int Flags);
  #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 tcuMemHostGetFlags(unsigned int *pFlags, void *p);
  
  #if __CUDA_API_VERSION >= 4010
      /**
       * Interprocess Handles
       */
  #define CU_IPC_HANDLE_SIZE 64
  
      typedef struct CUipcEventHandle_st
      {
          char reserved[CU_IPC_HANDLE_SIZE];
      } CUipcEventHandle;
  
      typedef struct CUipcMemHandle_st
      {
          char reserved[CU_IPC_HANDLE_SIZE];
      } CUipcMemHandle;
  
      typedef enum CUipcMem_flags_enum
      {
          CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS = 0x1 /**< Automatically enable peer access between remote devices as needed */
      } CUipcMem_flags;
  
      typedef CUresult CUDAAPI tcuDeviceGetByPCIBusId(CUdevice *dev, char *pciBusId);
      typedef CUresult CUDAAPI tcuDeviceGetPCIBusId(char *pciBusId, int len, CUdevice dev);
      typedef CUresult CUDAAPI tcuIpcGetEventHandle(CUipcEventHandle *pHandle, CUevent event);
      typedef CUresult CUDAAPI tcuIpcOpenEventHandle(CUevent *phEvent, CUipcEventHandle handle);
      typedef CUresult CUDAAPI tcuIpcGetMemHandle(CUipcMemHandle *pHandle, CUdeviceptr dptr);
      typedef CUresult CUDAAPI tcuIpcOpenMemHandle(CUdeviceptr *pdptr, CUipcMemHandle handle, unsigned int Flags);
      typedef CUresult CUDAAPI tcuIpcCloseMemHandle(CUdeviceptr dptr);
  #endif
  
      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 tcuFuncSetSharedMemConfig(CUfunction hfunc, CUsharedconfig 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);
  
  #if __CUDA_API_VERSION >= 5000
      typedef CUresult CUDAAPI tcuMipmappedArrayCreate(CUmipmappedArray *pHandle, const CUDA_ARRAY3D_DESCRIPTOR *pMipmappedArrayDesc, unsigned int numMipmapLevels);
      typedef CUresult CUDAAPI tcuMipmappedArrayGetLevel(CUarray *pLevelArray, CUmipmappedArray hMipmappedArray, unsigned int level);
      typedef CUresult CUDAAPI tcuMipmappedArrayDestroy(CUmipmappedArray hMipmappedArray);
  #endif
  
  
      /************************************
       **
       **    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 tcuStreamWaitEvent(CUstream hStream, CUevent hEvent, unsigned int Flags);
      typedef CUresult CUDAAPI tcuStreamAddCallback(CUstream hStream, CUstreamCallback callback, void *userData, 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);
      typedef CUresult CUDAAPI tcuCtxGetCacheConfig(CUfunc_cache *pconfig);
      typedef CUresult CUDAAPI tcuCtxSetCacheConfig(CUfunc_cache config);
      typedef CUresult CUDAAPI tcuCtxGetSharedMemConfig(CUsharedconfig *pConfig);
      typedef CUresult CUDAAPI tcuCtxSetSharedMemConfig(CUsharedconfig config);
      typedef CUresult CUDAAPI tcuCtxGetApiVersion(CUcontext ctx, unsigned int *version);
  
  
      /************************************
       ************************************/
  
      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 tcuFuncSetSharedMemConfig       *cuFuncSetSharedMemConfig;
      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 tcuStreamWaitEvent              *cuStreamWaitEvent;
      extern tcuStreamAddCallback            *cuStreamAddCallback;
      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;
  
      extern tcuMipmappedArrayCreate         *cuMipmappedArrayCreate;
      extern tcuMipmappedArrayGetLevel       *cuMipmappedArrayGetLevel;
      extern tcuMipmappedArrayDestroy        *cuMipmappedArrayDestroy;
  
  
  #ifdef __cplusplus
  }
  #endif
  
  //#undef __CUDA_API_VERSION
  
  #endif //__cuda_drvapi_dynlink_cuda_h__
  