simt_cuda_sys/

bindings.rs

/* automatically generated by rust-bindgen 0.65.1 */

pub type cuuint32_t = u32;
pub type cuuint64_t = u64;
pub type CUdeviceptr_v2 = ::std::os::raw::c_ulonglong;
pub type CUdeviceptr = CUdeviceptr_v2;
pub type CUdevice_v1 = ::std::os::raw::c_int;
pub type CUdevice = CUdevice_v1;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUctx_st {
    _unused: [u8; 0],
}
pub type CUcontext = *mut CUctx_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmod_st {
    _unused: [u8; 0],
}
pub type CUmodule = *mut CUmod_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUfunc_st {
    _unused: [u8; 0],
}
pub type CUfunction = *mut CUfunc_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlib_st {
    _unused: [u8; 0],
}
pub type CUlibrary = *mut CUlib_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUkern_st {
    _unused: [u8; 0],
}
pub type CUkernel = *mut CUkern_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUarray_st {
    _unused: [u8; 0],
}
pub type CUarray = *mut CUarray_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmipmappedArray_st {
    _unused: [u8; 0],
}
pub type CUmipmappedArray = *mut CUmipmappedArray_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUtexref_st {
    _unused: [u8; 0],
}
pub type CUtexref = *mut CUtexref_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUsurfref_st {
    _unused: [u8; 0],
}
pub type CUsurfref = *mut CUsurfref_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUevent_st {
    _unused: [u8; 0],
}
pub type CUevent = *mut CUevent_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUstream_st {
    _unused: [u8; 0],
}
pub type CUstream = *mut CUstream_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUgraphicsResource_st {
    _unused: [u8; 0],
}
pub type CUgraphicsResource = *mut CUgraphicsResource_st;
pub type CUtexObject_v1 = ::std::os::raw::c_ulonglong;
pub type CUtexObject = CUtexObject_v1;
pub type CUsurfObject_v1 = ::std::os::raw::c_ulonglong;
pub type CUsurfObject = CUsurfObject_v1;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUextMemory_st {
    _unused: [u8; 0],
}
pub type CUexternalMemory = *mut CUextMemory_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUextSemaphore_st {
    _unused: [u8; 0],
}
pub type CUexternalSemaphore = *mut CUextSemaphore_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUgraph_st {
    _unused: [u8; 0],
}
pub type CUgraph = *mut CUgraph_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUgraphNode_st {
    _unused: [u8; 0],
}
pub type CUgraphNode = *mut CUgraphNode_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUgraphExec_st {
    _unused: [u8; 0],
}
pub type CUgraphExec = *mut CUgraphExec_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemPoolHandle_st {
    _unused: [u8; 0],
}
pub type CUmemoryPool = *mut CUmemPoolHandle_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUuserObject_st {
    _unused: [u8; 0],
}
pub type CUuserObject = *mut CUuserObject_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUuuid_st {
    pub bytes: [::std::os::raw::c_char; 16usize],
}
pub type CUuuid = CUuuid_st;
#[doc = " CUDA IPC event handle"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUipcEventHandle_st {
    pub reserved: [::std::os::raw::c_char; 64usize],
}
#[doc = " CUDA IPC event handle"]
pub type CUipcEventHandle_v1 = CUipcEventHandle_st;
#[doc = " CUDA IPC event handle"]
pub type CUipcEventHandle = CUipcEventHandle_v1;
#[doc = " CUDA IPC mem handle"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUipcMemHandle_st {
    pub reserved: [::std::os::raw::c_char; 64usize],
}
#[doc = " CUDA IPC mem handle"]
pub type CUipcMemHandle_v1 = CUipcMemHandle_st;
#[doc = " CUDA IPC mem handle"]
pub type CUipcMemHandle = CUipcMemHandle_v1;
#[repr(u32)]
#[doc = " Operations for ::cuStreamBatchMemOp"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUstreamBatchMemOpType_enum {
    #[doc = "< Represents a ::cuStreamWaitValue32 operation"]
    CU_STREAM_MEM_OP_WAIT_VALUE_32 = 1,
    #[doc = "< Represents a ::cuStreamWriteValue32 operation"]
    CU_STREAM_MEM_OP_WRITE_VALUE_32 = 2,
    #[doc = "< Represents a ::cuStreamWaitValue64 operation"]
    CU_STREAM_MEM_OP_WAIT_VALUE_64 = 4,
    #[doc = "< Represents a ::cuStreamWriteValue64 operation"]
    CU_STREAM_MEM_OP_WRITE_VALUE_64 = 5,
    #[doc = "< Insert a memory barrier of the specified type"]
    CU_STREAM_MEM_OP_BARRIER = 6,
    #[doc = "< This has the same effect as ::CU_STREAM_WAIT_VALUE_FLUSH, but as a\nstandalone operation."]
    CU_STREAM_MEM_OP_FLUSH_REMOTE_WRITES = 3,
}
#[doc = " Operations for ::cuStreamBatchMemOp"]
pub use self::CUstreamBatchMemOpType_enum as CUstreamBatchMemOpType;
#[doc = " Per-operation parameters for ::cuStreamBatchMemOp"]
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUstreamBatchMemOpParams_union {
    pub operation: CUstreamBatchMemOpType,
    pub waitValue: CUstreamBatchMemOpParams_union_CUstreamMemOpWaitValueParams_st,
    pub writeValue: CUstreamBatchMemOpParams_union_CUstreamMemOpWriteValueParams_st,
    pub flushRemoteWrites: CUstreamBatchMemOpParams_union_CUstreamMemOpFlushRemoteWritesParams_st,
    pub memoryBarrier: CUstreamBatchMemOpParams_union_CUstreamMemOpMemoryBarrierParams_st,
    pub pad: [cuuint64_t; 6usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUstreamBatchMemOpParams_union_CUstreamMemOpWaitValueParams_st {
    pub operation: CUstreamBatchMemOpType,
    pub address: CUdeviceptr,
    pub __bindgen_anon_1:
        CUstreamBatchMemOpParams_union_CUstreamMemOpWaitValueParams_st__bindgen_ty_1,
    pub flags: ::std::os::raw::c_uint,
    #[doc = "< For driver internal use. Initial value is unimportant."]
    pub alias: CUdeviceptr,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUstreamBatchMemOpParams_union_CUstreamMemOpWaitValueParams_st__bindgen_ty_1 {
    pub value: cuuint32_t,
    pub value64: cuuint64_t,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUstreamBatchMemOpParams_union_CUstreamMemOpWriteValueParams_st {
    pub operation: CUstreamBatchMemOpType,
    pub address: CUdeviceptr,
    pub __bindgen_anon_1:
        CUstreamBatchMemOpParams_union_CUstreamMemOpWriteValueParams_st__bindgen_ty_1,
    pub flags: ::std::os::raw::c_uint,
    #[doc = "< For driver internal use. Initial value is unimportant."]
    pub alias: CUdeviceptr,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUstreamBatchMemOpParams_union_CUstreamMemOpWriteValueParams_st__bindgen_ty_1 {
    pub value: cuuint32_t,
    pub value64: cuuint64_t,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUstreamBatchMemOpParams_union_CUstreamMemOpFlushRemoteWritesParams_st {
    pub operation: CUstreamBatchMemOpType,
    pub flags: ::std::os::raw::c_uint,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUstreamBatchMemOpParams_union_CUstreamMemOpMemoryBarrierParams_st {
    pub operation: CUstreamBatchMemOpType,
    pub flags: ::std::os::raw::c_uint,
}
#[doc = " Per-operation parameters for ::cuStreamBatchMemOp"]
pub type CUstreamBatchMemOpParams_v1 = CUstreamBatchMemOpParams_union;
#[doc = " Per-operation parameters for ::cuStreamBatchMemOp"]
pub type CUstreamBatchMemOpParams = CUstreamBatchMemOpParams_v1;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_BATCH_MEM_OP_NODE_PARAMS_st {
    pub ctx: CUcontext,
    pub count: ::std::os::raw::c_uint,
    pub paramArray: *mut CUstreamBatchMemOpParams,
    pub flags: ::std::os::raw::c_uint,
}
pub type CUDA_BATCH_MEM_OP_NODE_PARAMS = CUDA_BATCH_MEM_OP_NODE_PARAMS_st;
#[repr(u32)]
#[doc = " Array formats"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUarray_format_enum {
    #[doc = "< Unsigned 8-bit integers"]
    CU_AD_FORMAT_UNSIGNED_INT8 = 1,
    #[doc = "< Unsigned 16-bit integers"]
    CU_AD_FORMAT_UNSIGNED_INT16 = 2,
    #[doc = "< Unsigned 32-bit integers"]
    CU_AD_FORMAT_UNSIGNED_INT32 = 3,
    #[doc = "< Signed 8-bit integers"]
    CU_AD_FORMAT_SIGNED_INT8 = 8,
    #[doc = "< Signed 16-bit integers"]
    CU_AD_FORMAT_SIGNED_INT16 = 9,
    #[doc = "< Signed 32-bit integers"]
    CU_AD_FORMAT_SIGNED_INT32 = 10,
    #[doc = "< 16-bit floating point"]
    CU_AD_FORMAT_HALF = 16,
    #[doc = "< 32-bit floating point"]
    CU_AD_FORMAT_FLOAT = 32,
    #[doc = "< 8-bit YUV planar format, with 4:2:0 sampling"]
    CU_AD_FORMAT_NV12 = 176,
    #[doc = "< 1 channel unsigned 8-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT8X1 = 192,
    #[doc = "< 2 channel unsigned 8-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT8X2 = 193,
    #[doc = "< 4 channel unsigned 8-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT8X4 = 194,
    #[doc = "< 1 channel unsigned 16-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT16X1 = 195,
    #[doc = "< 2 channel unsigned 16-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT16X2 = 196,
    #[doc = "< 4 channel unsigned 16-bit normalized integer"]
    CU_AD_FORMAT_UNORM_INT16X4 = 197,
    #[doc = "< 1 channel signed 8-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT8X1 = 198,
    #[doc = "< 2 channel signed 8-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT8X2 = 199,
    #[doc = "< 4 channel signed 8-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT8X4 = 200,
    #[doc = "< 1 channel signed 16-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT16X1 = 201,
    #[doc = "< 2 channel signed 16-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT16X2 = 202,
    #[doc = "< 4 channel signed 16-bit normalized integer"]
    CU_AD_FORMAT_SNORM_INT16X4 = 203,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC1 compression) format"]
    CU_AD_FORMAT_BC1_UNORM = 145,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC1 compression) format with sRGB encoding"]
    CU_AD_FORMAT_BC1_UNORM_SRGB = 146,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC2 compression) format"]
    CU_AD_FORMAT_BC2_UNORM = 147,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC2 compression) format with sRGB encoding"]
    CU_AD_FORMAT_BC2_UNORM_SRGB = 148,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC3 compression) format"]
    CU_AD_FORMAT_BC3_UNORM = 149,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC3 compression) format with sRGB encoding"]
    CU_AD_FORMAT_BC3_UNORM_SRGB = 150,
    #[doc = "< 1 channel unsigned normalized block-compressed (BC4 compression) format"]
    CU_AD_FORMAT_BC4_UNORM = 151,
    #[doc = "< 1 channel signed normalized block-compressed (BC4 compression) format"]
    CU_AD_FORMAT_BC4_SNORM = 152,
    #[doc = "< 2 channel unsigned normalized block-compressed (BC5 compression) format"]
    CU_AD_FORMAT_BC5_UNORM = 153,
    #[doc = "< 2 channel signed normalized block-compressed (BC5 compression) format"]
    CU_AD_FORMAT_BC5_SNORM = 154,
    #[doc = "< 3 channel unsigned half-float block-compressed (BC6H compression) format"]
    CU_AD_FORMAT_BC6H_UF16 = 155,
    #[doc = "< 3 channel signed half-float block-compressed (BC6H compression) format"]
    CU_AD_FORMAT_BC6H_SF16 = 156,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC7 compression) format"]
    CU_AD_FORMAT_BC7_UNORM = 157,
    #[doc = "< 4 channel unsigned normalized block-compressed (BC7 compression) format with sRGB encoding"]
    CU_AD_FORMAT_BC7_UNORM_SRGB = 158,
}
#[doc = " Array formats"]
pub use self::CUarray_format_enum as CUarray_format;
#[repr(u32)]
#[doc = " Texture reference addressing modes"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUaddress_mode_enum {
    #[doc = "< Wrapping address mode"]
    CU_TR_ADDRESS_MODE_WRAP = 0,
    #[doc = "< Clamp to edge address mode"]
    CU_TR_ADDRESS_MODE_CLAMP = 1,
    #[doc = "< Mirror address mode"]
    CU_TR_ADDRESS_MODE_MIRROR = 2,
    #[doc = "< Border address mode"]
    CU_TR_ADDRESS_MODE_BORDER = 3,
}
#[doc = " Texture reference addressing modes"]
pub use self::CUaddress_mode_enum as CUaddress_mode;
#[repr(u32)]
#[doc = " Texture reference filtering modes"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUfilter_mode_enum {
    #[doc = "< Point filter mode"]
    CU_TR_FILTER_MODE_POINT = 0,
    #[doc = "< Linear filter mode"]
    CU_TR_FILTER_MODE_LINEAR = 1,
}
#[doc = " Texture reference filtering modes"]
pub use self::CUfilter_mode_enum as CUfilter_mode;
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK;
}
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK;
}
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH;
}
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT;
}
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS;
}
impl CUdevice_attribute_enum {
    pub const CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED: CUdevice_attribute_enum =
        CUdevice_attribute_enum::CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED;
}
#[repr(u32)]
#[doc = " Device properties"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUdevice_attribute_enum {
    #[doc = "< Maximum number of threads per block"]
    CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 1,
    #[doc = "< Maximum block dimension X"]
    CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X = 2,
    #[doc = "< Maximum block dimension Y"]
    CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y = 3,
    #[doc = "< Maximum block dimension Z"]
    CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z = 4,
    #[doc = "< Maximum grid dimension X"]
    CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X = 5,
    #[doc = "< Maximum grid dimension Y"]
    CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y = 6,
    #[doc = "< Maximum grid dimension Z"]
    CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z = 7,
    #[doc = "< Maximum shared memory available per block in bytes"]
    CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK = 8,
    #[doc = "< Memory available on device for __constant__ variables in a CUDA C kernel in bytes"]
    CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY = 9,
    #[doc = "< Warp size in threads"]
    CU_DEVICE_ATTRIBUTE_WARP_SIZE = 10,
    #[doc = "< Maximum pitch in bytes allowed by memory copies"]
    CU_DEVICE_ATTRIBUTE_MAX_PITCH = 11,
    #[doc = "< Maximum number of 32-bit registers available per block"]
    CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK = 12,
    #[doc = "< Typical clock frequency in kilohertz"]
    CU_DEVICE_ATTRIBUTE_CLOCK_RATE = 13,
    #[doc = "< Alignment requirement for textures"]
    CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT = 14,
    #[doc = "< Device can possibly copy memory and execute a kernel concurrently. Deprecated. Use instead CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT."]
    CU_DEVICE_ATTRIBUTE_GPU_OVERLAP = 15,
    #[doc = "< Number of multiprocessors on device"]
    CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT = 16,
    #[doc = "< Specifies whether there is a run time limit on kernels"]
    CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT = 17,
    #[doc = "< Device is integrated with host memory"]
    CU_DEVICE_ATTRIBUTE_INTEGRATED = 18,
    #[doc = "< Device can map host memory into CUDA address space"]
    CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY = 19,
    #[doc = "< Compute mode (See ::CUcomputemode for details)"]
    CU_DEVICE_ATTRIBUTE_COMPUTE_MODE = 20,
    #[doc = "< Maximum 1D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH = 21,
    #[doc = "< Maximum 2D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH = 22,
    #[doc = "< Maximum 2D texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT = 23,
    #[doc = "< Maximum 3D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH = 24,
    #[doc = "< Maximum 3D texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT = 25,
    #[doc = "< Maximum 3D texture depth"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH = 26,
    #[doc = "< Maximum 2D layered texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH = 27,
    #[doc = "< Maximum 2D layered texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT = 28,
    #[doc = "< Maximum layers in a 2D layered texture"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS = 29,
    #[doc = "< Alignment requirement for surfaces"]
    CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT = 30,
    #[doc = "< Device can possibly execute multiple kernels concurrently"]
    CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS = 31,
    #[doc = "< Device has ECC support enabled"]
    CU_DEVICE_ATTRIBUTE_ECC_ENABLED = 32,
    #[doc = "< PCI bus ID of the device"]
    CU_DEVICE_ATTRIBUTE_PCI_BUS_ID = 33,
    #[doc = "< PCI device ID of the device"]
    CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID = 34,
    #[doc = "< Device is using TCC driver model"]
    CU_DEVICE_ATTRIBUTE_TCC_DRIVER = 35,
    #[doc = "< Peak memory clock frequency in kilohertz"]
    CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE = 36,
    #[doc = "< Global memory bus width in bits"]
    CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH = 37,
    #[doc = "< Size of L2 cache in bytes"]
    CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE = 38,
    #[doc = "< Maximum resident threads per multiprocessor"]
    CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR = 39,
    #[doc = "< Number of asynchronous engines"]
    CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT = 40,
    #[doc = "< Device shares a unified address space with the host"]
    CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING = 41,
    #[doc = "< Maximum 1D layered texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH = 42,
    #[doc = "< Maximum layers in a 1D layered texture"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS = 43,
    #[doc = "< Deprecated, do not use."]
    CU_DEVICE_ATTRIBUTE_CAN_TEX2D_GATHER = 44,
    #[doc = "< Maximum 2D texture width if CUDA_ARRAY3D_TEXTURE_GATHER is set"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH = 45,
    #[doc = "< Maximum 2D texture height if CUDA_ARRAY3D_TEXTURE_GATHER is set"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT = 46,
    #[doc = "< Alternate maximum 3D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE = 47,
    #[doc = "< Alternate maximum 3D texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE = 48,
    #[doc = "< Alternate maximum 3D texture depth"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE = 49,
    #[doc = "< PCI domain ID of the device"]
    CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID = 50,
    #[doc = "< Pitch alignment requirement for textures"]
    CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT = 51,
    #[doc = "< Maximum cubemap texture width/height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH = 52,
    #[doc = "< Maximum cubemap layered texture width/height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH = 53,
    #[doc = "< Maximum layers in a cubemap layered texture"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS = 54,
    #[doc = "< Maximum 1D surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH = 55,
    #[doc = "< Maximum 2D surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH = 56,
    #[doc = "< Maximum 2D surface height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT = 57,
    #[doc = "< Maximum 3D surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH = 58,
    #[doc = "< Maximum 3D surface height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT = 59,
    #[doc = "< Maximum 3D surface depth"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH = 60,
    #[doc = "< Maximum 1D layered surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH = 61,
    #[doc = "< Maximum layers in a 1D layered surface"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS = 62,
    #[doc = "< Maximum 2D layered surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH = 63,
    #[doc = "< Maximum 2D layered surface height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT = 64,
    #[doc = "< Maximum layers in a 2D layered surface"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS = 65,
    #[doc = "< Maximum cubemap surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH = 66,
    #[doc = "< Maximum cubemap layered surface width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH = 67,
    #[doc = "< Maximum layers in a cubemap layered surface"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS = 68,
    #[doc = "< Deprecated, do not use. Use cudaDeviceGetTexture1DLinearMaxWidth() or cuDeviceGetTexture1DLinearMaxWidth() instead."]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH = 69,
    #[doc = "< Maximum 2D linear texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH = 70,
    #[doc = "< Maximum 2D linear texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT = 71,
    #[doc = "< Maximum 2D linear texture pitch in bytes"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH = 72,
    #[doc = "< Maximum mipmapped 2D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH = 73,
    #[doc = "< Maximum mipmapped 2D texture height"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT = 74,
    #[doc = "< Major compute capability version number"]
    CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
    #[doc = "< Minor compute capability version number"]
    CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
    #[doc = "< Maximum mipmapped 1D texture width"]
    CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH = 77,
    #[doc = "< Device supports stream priorities"]
    CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED = 78,
    #[doc = "< Device supports caching globals in L1"]
    CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED = 79,
    #[doc = "< Device supports caching locals in L1"]
    CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED = 80,
    #[doc = "< Maximum shared memory available per multiprocessor in bytes"]
    CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR = 81,
    #[doc = "< Maximum number of 32-bit registers available per multiprocessor"]
    CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR = 82,
    #[doc = "< Device can allocate managed memory on this system"]
    CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY = 83,
    #[doc = "< Device is on a multi-GPU board"]
    CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD = 84,
    #[doc = "< Unique id for a group of devices on the same multi-GPU board"]
    CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID = 85,
    #[doc = "< Link between the device and the host supports native atomic operations (this is a placeholder attribute, and is not supported on any current hardware)"]
    CU_DEVICE_ATTRIBUTE_HOST_NATIVE_ATOMIC_SUPPORTED = 86,
    #[doc = "< Ratio of single precision performance (in floating-point operations per second) to double precision performance"]
    CU_DEVICE_ATTRIBUTE_SINGLE_TO_DOUBLE_PRECISION_PERF_RATIO = 87,
    #[doc = "< Device supports coherently accessing pageable memory without calling cudaHostRegister on it"]
    CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS = 88,
    #[doc = "< Device can coherently access managed memory concurrently with the CPU"]
    CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS = 89,
    #[doc = "< Device supports compute preemption."]
    CU_DEVICE_ATTRIBUTE_COMPUTE_PREEMPTION_SUPPORTED = 90,
    #[doc = "< Device can access host registered memory at the same virtual address as the CPU"]
    CU_DEVICE_ATTRIBUTE_CAN_USE_HOST_POINTER_FOR_REGISTERED_MEM = 91,
    #[doc = "< Deprecated, along with v1 MemOps API, ::cuStreamBatchMemOp and related APIs are supported."]
    CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_MEM_OPS_V1 = 92,
    #[doc = "< Deprecated, along with v1 MemOps API, 64-bit operations are supported in ::cuStreamBatchMemOp and related APIs."]
    CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS_V1 = 93,
    #[doc = "< Deprecated, along with v1 MemOps API, ::CU_STREAM_WAIT_VALUE_NOR is supported."]
    CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR_V1 = 94,
    #[doc = "< Device supports launching cooperative kernels via ::cuLaunchCooperativeKernel"]
    CU_DEVICE_ATTRIBUTE_COOPERATIVE_LAUNCH = 95,
    #[doc = "< Deprecated, ::cuLaunchCooperativeKernelMultiDevice is deprecated."]
    CU_DEVICE_ATTRIBUTE_COOPERATIVE_MULTI_DEVICE_LAUNCH = 96,
    #[doc = "< Maximum optin shared memory per block"]
    CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN = 97,
    #[doc = "< The ::CU_STREAM_WAIT_VALUE_FLUSH flag and the ::CU_STREAM_MEM_OP_FLUSH_REMOTE_WRITES MemOp are supported on the device. See \\ref CUDA_MEMOP for additional details."]
    CU_DEVICE_ATTRIBUTE_CAN_FLUSH_REMOTE_WRITES = 98,
    #[doc = "< Device supports host memory registration via ::cudaHostRegister."]
    CU_DEVICE_ATTRIBUTE_HOST_REGISTER_SUPPORTED = 99,
    #[doc = "< Device accesses pageable memory via the host's page tables."]
    CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES = 100,
    #[doc = "< The host can directly access managed memory on the device without migration."]
    CU_DEVICE_ATTRIBUTE_DIRECT_MANAGED_MEM_ACCESS_FROM_HOST = 101,
    #[doc = "< Deprecated, Use CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED"]
    CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED = 102,
    #[doc = "< Device supports exporting memory to a posix file descriptor with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate"]
    CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR_SUPPORTED = 103,
    #[doc = "< Device supports exporting memory to a Win32 NT handle with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate"]
    CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_WIN32_HANDLE_SUPPORTED = 104,
    #[doc = "< Device supports exporting memory to a Win32 KMT handle with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate"]
    CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_WIN32_KMT_HANDLE_SUPPORTED = 105,
    #[doc = "< Maximum number of blocks per multiprocessor"]
    CU_DEVICE_ATTRIBUTE_MAX_BLOCKS_PER_MULTIPROCESSOR = 106,
    #[doc = "< Device supports compression of memory"]
    CU_DEVICE_ATTRIBUTE_GENERIC_COMPRESSION_SUPPORTED = 107,
    #[doc = "< Maximum L2 persisting lines capacity setting in bytes."]
    CU_DEVICE_ATTRIBUTE_MAX_PERSISTING_L2_CACHE_SIZE = 108,
    #[doc = "< Maximum value of CUaccessPolicyWindow::num_bytes."]
    CU_DEVICE_ATTRIBUTE_MAX_ACCESS_POLICY_WINDOW_SIZE = 109,
    #[doc = "< Device supports specifying the GPUDirect RDMA flag with ::cuMemCreate"]
    CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WITH_CUDA_VMM_SUPPORTED = 110,
    #[doc = "< Shared memory reserved by CUDA driver per block in bytes"]
    CU_DEVICE_ATTRIBUTE_RESERVED_SHARED_MEMORY_PER_BLOCK = 111,
    #[doc = "< Device supports sparse CUDA arrays and sparse CUDA mipmapped arrays"]
    CU_DEVICE_ATTRIBUTE_SPARSE_CUDA_ARRAY_SUPPORTED = 112,
    #[doc = "< Device supports using the ::cuMemHostRegister flag ::CU_MEMHOSTERGISTER_READ_ONLY to register memory that must be mapped as read-only to the GPU"]
    CU_DEVICE_ATTRIBUTE_READ_ONLY_HOST_REGISTER_SUPPORTED = 113,
    #[doc = "< External timeline semaphore interop is supported on the device"]
    CU_DEVICE_ATTRIBUTE_TIMELINE_SEMAPHORE_INTEROP_SUPPORTED = 114,
    #[doc = "< Device supports using the ::cuMemAllocAsync and ::cuMemPool family of APIs"]
    CU_DEVICE_ATTRIBUTE_MEMORY_POOLS_SUPPORTED = 115,
    #[doc = "< Device supports GPUDirect RDMA APIs, like nvidia_p2p_get_pages (see https://docs.nvidia.com/cuda/gpudirect-rdma for more information)"]
    CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_SUPPORTED = 116,
    #[doc = "< The returned attribute shall be interpreted as a bitmask, where the individual bits are described by the ::CUflushGPUDirectRDMAWritesOptions enum"]
    CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_FLUSH_WRITES_OPTIONS = 117,
    #[doc = "< GPUDirect RDMA writes to the device do not need to be flushed for consumers within the scope indicated by the returned attribute. See ::CUGPUDirectRDMAWritesOrdering for the numerical values returned here."]
    CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WRITES_ORDERING = 118,
    #[doc = "< Handle types supported with mempool based IPC"]
    CU_DEVICE_ATTRIBUTE_MEMPOOL_SUPPORTED_HANDLE_TYPES = 119,
    #[doc = "< Indicates device supports cluster launch"]
    CU_DEVICE_ATTRIBUTE_CLUSTER_LAUNCH = 120,
    #[doc = "< Device supports deferred mapping CUDA arrays and CUDA mipmapped arrays"]
    CU_DEVICE_ATTRIBUTE_DEFERRED_MAPPING_CUDA_ARRAY_SUPPORTED = 121,
    #[doc = "< 64-bit operations are supported in ::cuStreamBatchMemOp and related MemOp APIs."]
    CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS = 122,
    #[doc = "< ::CU_STREAM_WAIT_VALUE_NOR is supported by MemOp APIs."]
    CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR = 123,
    #[doc = "< Device supports buffer sharing with dma_buf mechanism."]
    CU_DEVICE_ATTRIBUTE_DMA_BUF_SUPPORTED = 124,
    #[doc = "< Device supports IPC Events."]
    CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED = 125,
    #[doc = "< Number of memory domains the device supports."]
    CU_DEVICE_ATTRIBUTE_MEM_SYNC_DOMAIN_COUNT = 126,
    #[doc = "< Device supports accessing memory using Tensor Map."]
    CU_DEVICE_ATTRIBUTE_TENSOR_MAP_ACCESS_SUPPORTED = 127,
    #[doc = "< Device supports unified function pointers."]
    CU_DEVICE_ATTRIBUTE_UNIFIED_FUNCTION_POINTERS = 129,
    CU_DEVICE_ATTRIBUTE_MAX = 130,
}
#[doc = " Device properties"]
pub use self::CUdevice_attribute_enum as CUdevice_attribute;
#[doc = " Legacy device properties"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUdevprop_st {
    #[doc = "< Maximum number of threads per block"]
    pub maxThreadsPerBlock: ::std::os::raw::c_int,
    #[doc = "< Maximum size of each dimension of a block"]
    pub maxThreadsDim: [::std::os::raw::c_int; 3usize],
    #[doc = "< Maximum size of each dimension of a grid"]
    pub maxGridSize: [::std::os::raw::c_int; 3usize],
    #[doc = "< Shared memory available per block in bytes"]
    pub sharedMemPerBlock: ::std::os::raw::c_int,
    #[doc = "< Constant memory available on device in bytes"]
    pub totalConstantMemory: ::std::os::raw::c_int,
    #[doc = "< Warp size in threads"]
    pub SIMDWidth: ::std::os::raw::c_int,
    #[doc = "< Maximum pitch in bytes allowed by memory copies"]
    pub memPitch: ::std::os::raw::c_int,
    #[doc = "< 32-bit registers available per block"]
    pub regsPerBlock: ::std::os::raw::c_int,
    #[doc = "< Clock frequency in kilohertz"]
    pub clockRate: ::std::os::raw::c_int,
    #[doc = "< Alignment requirement for textures"]
    pub textureAlign: ::std::os::raw::c_int,
}
#[doc = " Legacy device properties"]
pub type CUdevprop_v1 = CUdevprop_st;
#[doc = " Legacy device properties"]
pub type CUdevprop = CUdevprop_v1;
#[repr(u32)]
#[doc = " Pointer information"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUpointer_attribute_enum {
    #[doc = "< The ::CUcontext on which a pointer was allocated or registered"]
    CU_POINTER_ATTRIBUTE_CONTEXT = 1,
    #[doc = "< The ::CUmemorytype describing the physical location of a pointer"]
    CU_POINTER_ATTRIBUTE_MEMORY_TYPE = 2,
    #[doc = "< The address at which a pointer's memory may be accessed on the device"]
    CU_POINTER_ATTRIBUTE_DEVICE_POINTER = 3,
    #[doc = "< The address at which a pointer's memory may be accessed on the host"]
    CU_POINTER_ATTRIBUTE_HOST_POINTER = 4,
    #[doc = "< A pair of tokens for use with the nv-p2p.h Linux kernel interface"]
    CU_POINTER_ATTRIBUTE_P2P_TOKENS = 5,
    #[doc = "< Synchronize every synchronous memory operation initiated on this region"]
    CU_POINTER_ATTRIBUTE_SYNC_MEMOPS = 6,
    #[doc = "< A process-wide unique ID for an allocated memory region"]
    CU_POINTER_ATTRIBUTE_BUFFER_ID = 7,
    #[doc = "< Indicates if the pointer points to managed memory"]
    CU_POINTER_ATTRIBUTE_IS_MANAGED = 8,
    #[doc = "< A device ordinal of a device on which a pointer was allocated or registered"]
    CU_POINTER_ATTRIBUTE_DEVICE_ORDINAL = 9,
    #[doc = "< 1 if this pointer maps to an allocation that is suitable for ::cudaIpcGetMemHandle, 0 otherwise"]
    CU_POINTER_ATTRIBUTE_IS_LEGACY_CUDA_IPC_CAPABLE = 10,
    #[doc = "< Starting address for this requested pointer"]
    CU_POINTER_ATTRIBUTE_RANGE_START_ADDR = 11,
    #[doc = "< Size of the address range for this requested pointer"]
    CU_POINTER_ATTRIBUTE_RANGE_SIZE = 12,
    #[doc = "< 1 if this pointer is in a valid address range that is mapped to a backing allocation, 0 otherwise"]
    CU_POINTER_ATTRIBUTE_MAPPED = 13,
    #[doc = "< Bitmask of allowed ::CUmemAllocationHandleType for this allocation"]
    CU_POINTER_ATTRIBUTE_ALLOWED_HANDLE_TYPES = 14,
    #[doc = "< 1 if the memory this pointer is referencing can be used with the GPUDirect RDMA API"]
    CU_POINTER_ATTRIBUTE_IS_GPU_DIRECT_RDMA_CAPABLE = 15,
    #[doc = "< Returns the access flags the device associated with the current context has on the corresponding memory referenced by the pointer given"]
    CU_POINTER_ATTRIBUTE_ACCESS_FLAGS = 16,
    #[doc = "< Returns the mempool handle for the allocation if it was allocated from a mempool. Otherwise returns NULL."]
    CU_POINTER_ATTRIBUTE_MEMPOOL_HANDLE = 17,
    #[doc = "< Size of the actual underlying mapping that the pointer belongs to"]
    CU_POINTER_ATTRIBUTE_MAPPING_SIZE = 18,
    #[doc = "< The start address of the mapping that the pointer belongs to"]
    CU_POINTER_ATTRIBUTE_MAPPING_BASE_ADDR = 19,
    #[doc = "< A process-wide unique id corresponding to the physical allocation the pointer belongs to"]
    CU_POINTER_ATTRIBUTE_MEMORY_BLOCK_ID = 20,
}
#[doc = " Pointer information"]
pub use self::CUpointer_attribute_enum as CUpointer_attribute;
#[repr(u32)]
#[doc = " Function properties"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUfunction_attribute_enum {
    #[doc = " The maximum number of threads per block, beyond which a launch of the\n function would fail. This number depends on both the function and the\n device on which the function is currently loaded."]
    CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 0,
    #[doc = " The size in bytes of statically-allocated shared memory required by\n this function. This does not include dynamically-allocated shared\n memory requested by the user at runtime."]
    CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES = 1,
    #[doc = " The size in bytes of user-allocated constant memory required by this\n function."]
    CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES = 2,
    #[doc = " The size in bytes of local memory used by each thread of this function."]
    CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES = 3,
    #[doc = " The number of registers used by each thread of this function."]
    CU_FUNC_ATTRIBUTE_NUM_REGS = 4,
    #[doc = " The PTX virtual architecture version for which the function was\n compiled. This value is the major PTX version * 10 + the minor PTX\n version, so a PTX version 1.3 function would return the value 13.\n Note that this may return the undefined value of 0 for cubins\n compiled prior to CUDA 3.0."]
    CU_FUNC_ATTRIBUTE_PTX_VERSION = 5,
    #[doc = " The binary architecture version for which the function was compiled.\n This value is the major binary version * 10 + the minor binary version,\n so a binary version 1.3 function would return the value 13. Note that\n this will return a value of 10 for legacy cubins that do not have a\n properly-encoded binary architecture version."]
    CU_FUNC_ATTRIBUTE_BINARY_VERSION = 6,
    #[doc = " The attribute to indicate whether the function has been compiled with\n user specified option \"-Xptxas --dlcm=ca\" set ."]
    CU_FUNC_ATTRIBUTE_CACHE_MODE_CA = 7,
    #[doc = " The maximum size in bytes of dynamically-allocated shared memory that can be used by\n this function. If the user-specified dynamic shared memory size is larger than this\n value, the launch will fail.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES = 8,
    #[doc = " On devices where the L1 cache and shared memory use the same hardware resources,\n this sets the shared memory carveout preference, in percent of the total shared memory.\n Refer to ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR.\n This is only a hint, and the driver can choose a different ratio if required to execute the function.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT = 9,
    #[doc = " If this attribute is set, the kernel must launch with a valid cluster\n size specified.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_CLUSTER_SIZE_MUST_BE_SET = 10,
    #[doc = " The required cluster width in blocks. The values must either all be 0 or\n all be positive. The validity of the cluster dimensions is otherwise\n checked at launch time.\n\n If the value is set during compile time, it cannot be set at runtime.\n Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_WIDTH = 11,
    #[doc = " The required cluster height in blocks. The values must either all be 0 or\n all be positive. The validity of the cluster dimensions is otherwise\n checked at launch time.\n\n If the value is set during compile time, it cannot be set at runtime.\n Setting it at runtime should return CUDA_ERROR_NOT_PERMITTED.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_HEIGHT = 12,
    #[doc = " The required cluster depth in blocks. The values must either all be 0 or\n all be positive. The validity of the cluster dimensions is otherwise\n checked at launch time.\n\n If the value is set during compile time, it cannot be set at runtime.\n Setting it at runtime should return CUDA_ERROR_NOT_PERMITTED.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_DEPTH = 13,
    #[doc = " Whether the function can be launched with non-portable cluster size. 1 is\n allowed, 0 is disallowed. A non-portable cluster size may only function\n on the specific SKUs the program is tested on. The launch might fail if\n the program is run on a different hardware platform.\n\n CUDA API provides cudaOccupancyMaxActiveClusters to assist with checking\n whether the desired size can be launched on the current device.\n\n Portable Cluster Size\n\n A portable cluster size is guaranteed to be functional on all compute\n capabilities higher than the target compute capability. The portable\n cluster size for sm_90 is 8 blocks per cluster. This value may increase\n for future compute capabilities.\n\n The specific hardware unit may support higher cluster sizes that’s not\n guaranteed to be portable.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_NON_PORTABLE_CLUSTER_SIZE_ALLOWED = 14,
    #[doc = " The block scheduling policy of a function. The value type is\n CUclusterSchedulingPolicy / cudaClusterSchedulingPolicy.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE = 15,
    #[doc = " The block scheduling policy of a function. The value type is\n CUclusterSchedulingPolicy / cudaClusterSchedulingPolicy.\n See ::cuFuncSetAttribute, ::cuKernelSetAttribute"]
    CU_FUNC_ATTRIBUTE_MAX = 16,
}
#[doc = " Function properties"]
pub use self::CUfunction_attribute_enum as CUfunction_attribute;
#[repr(u32)]
#[doc = " Function cache configurations"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUfunc_cache_enum {
    #[doc = "< no preference for shared memory or L1 (default)"]
    CU_FUNC_CACHE_PREFER_NONE = 0,
    #[doc = "< prefer larger shared memory and smaller L1 cache"]
    CU_FUNC_CACHE_PREFER_SHARED = 1,
    #[doc = "< prefer larger L1 cache and smaller shared memory"]
    CU_FUNC_CACHE_PREFER_L1 = 2,
    #[doc = "< prefer equal sized L1 cache and shared memory"]
    CU_FUNC_CACHE_PREFER_EQUAL = 3,
}
#[doc = " Function cache configurations"]
pub use self::CUfunc_cache_enum as CUfunc_cache;
#[repr(u32)]
#[doc = " Shared memory configurations"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUsharedconfig_enum {
    #[doc = "< set default shared memory bank size"]
    CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE = 0,
    #[doc = "< set shared memory bank width to four bytes"]
    CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE = 1,
    #[doc = "< set shared memory bank width to eight bytes"]
    CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE = 2,
}
#[doc = " Shared memory configurations"]
pub use self::CUsharedconfig_enum as CUsharedconfig;
#[repr(u32)]
#[doc = " Memory types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemorytype_enum {
    #[doc = "< Host memory"]
    CU_MEMORYTYPE_HOST = 1,
    #[doc = "< Device memory"]
    CU_MEMORYTYPE_DEVICE = 2,
    #[doc = "< Array memory"]
    CU_MEMORYTYPE_ARRAY = 3,
    #[doc = "< Unified device or host memory"]
    CU_MEMORYTYPE_UNIFIED = 4,
}
#[doc = " Memory types"]
pub use self::CUmemorytype_enum as CUmemorytype;
#[repr(u32)]
#[doc = " Memory advise values"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmem_advise_enum {
    #[doc = "< Data will mostly be read and only occassionally be written to"]
    CU_MEM_ADVISE_SET_READ_MOSTLY = 1,
    #[doc = "< Undo the effect of ::CU_MEM_ADVISE_SET_READ_MOSTLY"]
    CU_MEM_ADVISE_UNSET_READ_MOSTLY = 2,
    #[doc = "< Set the preferred location for the data as the specified device"]
    CU_MEM_ADVISE_SET_PREFERRED_LOCATION = 3,
    #[doc = "< Clear the preferred location for the data"]
    CU_MEM_ADVISE_UNSET_PREFERRED_LOCATION = 4,
    #[doc = "< Data will be accessed by the specified device, so prevent page faults as much as possible"]
    CU_MEM_ADVISE_SET_ACCESSED_BY = 5,
    #[doc = "< Let the Unified Memory subsystem decide on the page faulting policy for the specified device"]
    CU_MEM_ADVISE_UNSET_ACCESSED_BY = 6,
}
#[doc = " Memory advise values"]
pub use self::CUmem_advise_enum as CUmem_advise;
#[repr(u32)]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmem_range_attribute_enum {
    #[doc = "< Whether the range will mostly be read and only occassionally be written to"]
    CU_MEM_RANGE_ATTRIBUTE_READ_MOSTLY = 1,
    #[doc = "< The preferred location of the range"]
    CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION = 2,
    #[doc = "< Memory range has ::CU_MEM_ADVISE_SET_ACCESSED_BY set for specified device"]
    CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY = 3,
    #[doc = "< The last location to which the range was prefetched"]
    CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION = 4,
}
pub use self::CUmem_range_attribute_enum as CUmem_range_attribute;
#[repr(u32)]
#[doc = " Online compiler and linker options"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUjit_option_enum {
    #[doc = " Max number of registers that a thread may use.\\n\n Option type: unsigned int\\n\n Applies to: compiler only"]
    CU_JIT_MAX_REGISTERS = 0,
    #[doc = " IN: Specifies minimum number of threads per block to target compilation\n for\\n\n OUT: Returns the number of threads the compiler actually targeted.\n This restricts the resource utilization fo the compiler (e.g. max\n registers) such that a block with the given number of threads should be\n able to launch based on register limitations. Note, this option does not\n currently take into account any other resource limitations, such as\n shared memory utilization.\\n\n Cannot be combined with ::CU_JIT_TARGET.\\n\n Option type: unsigned int\\n\n Applies to: compiler only"]
    CU_JIT_THREADS_PER_BLOCK = 1,
    #[doc = " Overwrites the option value with the total wall clock time, in\n milliseconds, spent in the compiler and linker\\n\n Option type: float\\n\n Applies to: compiler and linker"]
    CU_JIT_WALL_TIME = 2,
    #[doc = " Pointer to a buffer in which to print any log messages\n that are informational in nature (the buffer size is specified via\n option ::CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES)\\n\n Option type: char *\\n\n Applies to: compiler and linker"]
    CU_JIT_INFO_LOG_BUFFER = 3,
    #[doc = " IN: Log buffer size in bytes.  Log messages will be capped at this size\n (including null terminator)\\n\n OUT: Amount of log buffer filled with messages\\n\n Option type: unsigned int\\n\n Applies to: compiler and linker"]
    CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES = 4,
    #[doc = " Pointer to a buffer in which to print any log messages that\n reflect errors (the buffer size is specified via option\n ::CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES)\\n\n Option type: char *\\n\n Applies to: compiler and linker"]
    CU_JIT_ERROR_LOG_BUFFER = 5,
    #[doc = " IN: Log buffer size in bytes.  Log messages will be capped at this size\n (including null terminator)\\n\n OUT: Amount of log buffer filled with messages\\n\n Option type: unsigned int\\n\n Applies to: compiler and linker"]
    CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES = 6,
    #[doc = " Level of optimizations to apply to generated code (0 - 4), with 4\n being the default and highest level of optimizations.\\n\n Option type: unsigned int\\n\n Applies to: compiler only"]
    CU_JIT_OPTIMIZATION_LEVEL = 7,
    #[doc = " No option value required. Determines the target based on the current\n attached context (default)\\n\n Option type: No option value needed\\n\n Applies to: compiler and linker"]
    CU_JIT_TARGET_FROM_CUCONTEXT = 8,
    #[doc = " Target is chosen based on supplied ::CUjit_target.  Cannot be\n combined with ::CU_JIT_THREADS_PER_BLOCK.\\n\n Option type: unsigned int for enumerated type ::CUjit_target\\n\n Applies to: compiler and linker"]
    CU_JIT_TARGET = 9,
    #[doc = " Specifies choice of fallback strategy if matching cubin is not found.\n Choice is based on supplied ::CUjit_fallback.  This option cannot be\n used with cuLink* APIs as the linker requires exact matches.\\n\n Option type: unsigned int for enumerated type ::CUjit_fallback\\n\n Applies to: compiler only"]
    CU_JIT_FALLBACK_STRATEGY = 10,
    #[doc = " Specifies whether to create debug information in output (-g)\n (0: false, default)\\n\n Option type: int\\n\n Applies to: compiler and linker"]
    CU_JIT_GENERATE_DEBUG_INFO = 11,
    #[doc = " Generate verbose log messages (0: false, default)\\n\n Option type: int\\n\n Applies to: compiler and linker"]
    CU_JIT_LOG_VERBOSE = 12,
    #[doc = " Generate line number information (-lineinfo) (0: false, default)\\n\n Option type: int\\n\n Applies to: compiler only"]
    CU_JIT_GENERATE_LINE_INFO = 13,
    #[doc = " Specifies whether to enable caching explicitly (-dlcm) \\n\n Choice is based on supplied ::CUjit_cacheMode_enum.\\n\n Option type: unsigned int for enumerated type ::CUjit_cacheMode_enum\\n\n Applies to: compiler only"]
    CU_JIT_CACHE_MODE = 14,
    #[doc = " \\deprecated\n This jit option is deprecated and should not be used."]
    CU_JIT_NEW_SM3X_OPT = 15,
    #[doc = " This jit option is used for internal purpose only."]
    CU_JIT_FAST_COMPILE = 16,
    #[doc = " Array of device symbol names that will be relocated to the corresponing\n host addresses stored in ::CU_JIT_GLOBAL_SYMBOL_ADDRESSES.\\n\n Must contain ::CU_JIT_GLOBAL_SYMBOL_COUNT entries.\\n\n When loding a device module, driver will relocate all encountered\n unresolved symbols to the host addresses.\\n\n It is only allowed to register symbols that correspond to unresolved\n global variables.\\n\n It is illegal to register the same device symbol at multiple addresses.\\n\n Option type: const char **\\n\n Applies to: dynamic linker only"]
    CU_JIT_GLOBAL_SYMBOL_NAMES = 17,
    #[doc = " Array of host addresses that will be used to relocate corresponding\n device symbols stored in ::CU_JIT_GLOBAL_SYMBOL_NAMES.\\n\n Must contain ::CU_JIT_GLOBAL_SYMBOL_COUNT entries.\\n\n Option type: void **\\n\n Applies to: dynamic linker only"]
    CU_JIT_GLOBAL_SYMBOL_ADDRESSES = 18,
    #[doc = " Number of entries in ::CU_JIT_GLOBAL_SYMBOL_NAMES and\n ::CU_JIT_GLOBAL_SYMBOL_ADDRESSES arrays.\\n\n Option type: unsigned int\\n\n Applies to: dynamic linker only"]
    CU_JIT_GLOBAL_SYMBOL_COUNT = 19,
    #[doc = " \\deprecated\n Enable link-time optimization (-dlto) for device code (Disabled by default).\\n\n This option is not supported on 32-bit platforms.\\n\n Option type: int\\n\n Applies to: compiler and linker\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_LTO = 20,
    #[doc = " \\deprecated\n Control single-precision denormals (-ftz) support (0: false, default).\n 1 : flushes denormal values to zero\n 0 : preserves denormal values\n Option type: int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_FTZ = 21,
    #[doc = " \\deprecated\n Control single-precision floating-point division and reciprocals\n (-prec-div) support (1: true, default).\n 1 : Enables the IEEE round-to-nearest mode\n 0 : Enables the fast approximation mode\n Option type: int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_PREC_DIV = 22,
    #[doc = " \\deprecated\n Control single-precision floating-point square root\n (-prec-sqrt) support (1: true, default).\n 1 : Enables the IEEE round-to-nearest mode\n 0 : Enables the fast approximation mode\n Option type: int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_PREC_SQRT = 23,
    #[doc = " \\deprecated\n Enable/Disable the contraction of floating-point multiplies\n and adds/subtracts into floating-point multiply-add (-fma)\n operations (1: Enable, default; 0: Disable).\n Option type: int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_FMA = 24,
    #[doc = " \\deprecated\n Array of kernel names that should be preserved at link time while others\n can be removed.\\n\n Must contain ::CU_JIT_REFERENCED_KERNEL_COUNT entries.\\n\n Note that kernel names can be mangled by the compiler in which case the\n mangled name needs to be specified.\\n\n Wildcard \"*\" can be used to represent zero or more characters instead of\n specifying the full or mangled name.\\n\n It is important to note that the wildcard \"*\" is also added implicitly.\n For example, specifying \"foo\" will match \"foobaz\", \"barfoo\", \"barfoobaz\" and\n thus preserve all kernels with those names. This can be avoided by providing\n a more specific name like \"barfoobaz\".\\n\n Option type: const char **\\n\n Applies to: dynamic linker only\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_REFERENCED_KERNEL_NAMES = 25,
    #[doc = " \\deprecated\n Number of entries in ::CU_JIT_REFERENCED_KERNEL_NAMES array.\\n\n Option type: unsigned int\\n\n Applies to: dynamic linker only\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_REFERENCED_KERNEL_COUNT = 26,
    #[doc = " \\deprecated\n Array of variable names (__device__ and/or __constant__) that should be\n preserved at link time while others can be removed.\\n\n Must contain ::CU_JIT_REFERENCED_VARIABLE_COUNT entries.\\n\n Note that variable names can be mangled by the compiler in which case the\n mangled name needs to be specified.\\n\n Wildcard \"*\" can be used to represent zero or more characters instead of\n specifying the full or mangled name.\\n\n It is important to note that the wildcard \"*\" is also added implicitly.\n For example, specifying \"foo\" will match \"foobaz\", \"barfoo\", \"barfoobaz\" and\n thus preserve all variables with those names. This can be avoided by providing\n a more specific name like \"barfoobaz\".\\n\n Option type: const char **\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_REFERENCED_VARIABLE_NAMES = 27,
    #[doc = " \\deprecated\n Number of entries in ::CU_JIT_REFERENCED_VARIABLE_NAMES array.\\n\n Option type: unsigned int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_REFERENCED_VARIABLE_COUNT = 28,
    #[doc = " \\deprecated\n This option serves as a hint to enable the JIT compiler/linker\n to remove constant (__constant__) and device (__device__) variables\n unreferenced in device code (Disabled by default).\\n\n Note that host references to constant and device variables using APIs like\n ::cuModuleGetGlobal() with this option specified may result in undefined behavior unless\n the variables are explicitly specified using ::CU_JIT_REFERENCED_VARIABLE_NAMES.\\n\n Option type: int\\n\n Applies to: link-time optimization specified with CU_JIT_LTO\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_OPTIMIZE_UNUSED_DEVICE_VARIABLES = 29,
    #[doc = " Generate position independent code (0: false)\\n\n Option type: int\\n\n Applies to: compiler only"]
    CU_JIT_POSITION_INDEPENDENT_CODE = 30,
    #[doc = " Generate position independent code (0: false)\\n\n Option type: int\\n\n Applies to: compiler only"]
    CU_JIT_NUM_OPTIONS = 31,
}
#[doc = " Online compiler and linker options"]
pub use self::CUjit_option_enum as CUjit_option;
#[repr(u32)]
#[doc = " Device code formats"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUjitInputType_enum {
    #[doc = " Compiled device-class-specific device code\\n\n Applicable options: none"]
    CU_JIT_INPUT_CUBIN = 0,
    #[doc = " PTX source code\\n\n Applicable options: PTX compiler options"]
    CU_JIT_INPUT_PTX = 1,
    #[doc = " Bundle of multiple cubins and/or PTX of some device code\\n\n Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY"]
    CU_JIT_INPUT_FATBINARY = 2,
    #[doc = " Host object with embedded device code\\n\n Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY"]
    CU_JIT_INPUT_OBJECT = 3,
    #[doc = " Archive of host objects with embedded device code\\n\n Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY"]
    CU_JIT_INPUT_LIBRARY = 4,
    #[doc = " \\deprecated\n High-level intermediate code for link-time optimization\\n\n Applicable options: NVVM compiler options, PTX compiler options\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_INPUT_NVVM = 5,
    #[doc = " \\deprecated\n High-level intermediate code for link-time optimization\\n\n Applicable options: NVVM compiler options, PTX compiler options\n\n Only valid with LTO-IR compiled with toolkits prior to CUDA 12.0"]
    CU_JIT_NUM_INPUT_TYPES = 6,
}
#[doc = " Device code formats"]
pub use self::CUjitInputType_enum as CUjitInputType;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlinkState_st {
    _unused: [u8; 0],
}
pub type CUlinkState = *mut CUlinkState_st;
#[repr(u32)]
#[doc = " Limits"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUlimit_enum {
    #[doc = "< GPU thread stack size"]
    CU_LIMIT_STACK_SIZE = 0,
    #[doc = "< GPU printf FIFO size"]
    CU_LIMIT_PRINTF_FIFO_SIZE = 1,
    #[doc = "< GPU malloc heap size"]
    CU_LIMIT_MALLOC_HEAP_SIZE = 2,
    #[doc = "< GPU device runtime launch synchronize depth"]
    CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH = 3,
    #[doc = "< GPU device runtime pending launch count"]
    CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT = 4,
    #[doc = "< A value between 0 and 128 that indicates the maximum fetch granularity of L2 (in Bytes). This is a hint"]
    CU_LIMIT_MAX_L2_FETCH_GRANULARITY = 5,
    #[doc = "< A size in bytes for L2 persisting lines cache size"]
    CU_LIMIT_PERSISTING_L2_CACHE_SIZE = 6,
    CU_LIMIT_MAX = 7,
}
#[doc = " Limits"]
pub use self::CUlimit_enum as CUlimit;
#[repr(u32)]
#[doc = " Resource types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUresourcetype_enum {
    #[doc = "< Array resoure"]
    CU_RESOURCE_TYPE_ARRAY = 0,
    #[doc = "< Mipmapped array resource"]
    CU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 1,
    #[doc = "< Linear resource"]
    CU_RESOURCE_TYPE_LINEAR = 2,
    #[doc = "< Pitch 2D resource"]
    CU_RESOURCE_TYPE_PITCH2D = 3,
}
#[doc = " Resource types"]
pub use self::CUresourcetype_enum as CUresourcetype;
#[doc = " CUDA host function\n \\param userData Argument value passed to the function"]
pub type CUhostFn =
    ::std::option::Option<unsafe extern "C" fn(userData: *mut ::std::os::raw::c_void)>;
#[repr(u32)]
#[doc = " Specifies performance hint with ::CUaccessPolicyWindow for hitProp and missProp members."]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUaccessProperty_enum {
    #[doc = "< Normal cache persistence."]
    CU_ACCESS_PROPERTY_NORMAL = 0,
    #[doc = "< Streaming access is less likely to persit from cache."]
    CU_ACCESS_PROPERTY_STREAMING = 1,
    #[doc = "< Persisting access is more likely to persist in cache."]
    CU_ACCESS_PROPERTY_PERSISTING = 2,
}
#[doc = " Specifies performance hint with ::CUaccessPolicyWindow for hitProp and missProp members."]
pub use self::CUaccessProperty_enum as CUaccessProperty;
#[doc = " Specifies an access policy for a window, a contiguous extent of memory\n beginning at base_ptr and ending at base_ptr + num_bytes.\n num_bytes is limited by CU_DEVICE_ATTRIBUTE_MAX_ACCESS_POLICY_WINDOW_SIZE.\n Partition into many segments and assign segments such that:\n sum of \"hit segments\" / window == approx. ratio.\n sum of \"miss segments\" / window == approx 1-ratio.\n Segments and ratio specifications are fitted to the capabilities of\n the architecture.\n Accesses in a hit segment apply the hitProp access policy.\n Accesses in a miss segment apply the missProp access policy."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUaccessPolicyWindow_st {
    #[doc = "< Starting address of the access policy window. CUDA driver may align it."]
    pub base_ptr: *mut ::std::os::raw::c_void,
    #[doc = "< Size in bytes of the window policy. CUDA driver may restrict the maximum size and alignment."]
    pub num_bytes: usize,
    #[doc = "< hitRatio specifies percentage of lines assigned hitProp, rest are assigned missProp."]
    pub hitRatio: f32,
    #[doc = "< ::CUaccessProperty set for hit."]
    pub hitProp: CUaccessProperty,
    #[doc = "< ::CUaccessProperty set for miss. Must be either NORMAL or STREAMING"]
    pub missProp: CUaccessProperty,
}
#[doc = " Specifies an access policy for a window, a contiguous extent of memory\n beginning at base_ptr and ending at base_ptr + num_bytes.\n num_bytes is limited by CU_DEVICE_ATTRIBUTE_MAX_ACCESS_POLICY_WINDOW_SIZE.\n Partition into many segments and assign segments such that:\n sum of \"hit segments\" / window == approx. ratio.\n sum of \"miss segments\" / window == approx 1-ratio.\n Segments and ratio specifications are fitted to the capabilities of\n the architecture.\n Accesses in a hit segment apply the hitProp access policy.\n Accesses in a miss segment apply the missProp access policy."]
pub type CUaccessPolicyWindow_v1 = CUaccessPolicyWindow_st;
#[doc = " Access policy window"]
pub type CUaccessPolicyWindow = CUaccessPolicyWindow_v1;
#[doc = " GPU kernel node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_KERNEL_NODE_PARAMS_v2_st {
    #[doc = "< Kernel to launch"]
    pub func: CUfunction,
    #[doc = "< Width of grid in blocks"]
    pub gridDimX: ::std::os::raw::c_uint,
    #[doc = "< Height of grid in blocks"]
    pub gridDimY: ::std::os::raw::c_uint,
    #[doc = "< Depth of grid in blocks"]
    pub gridDimZ: ::std::os::raw::c_uint,
    #[doc = "< X dimension of each thread block"]
    pub blockDimX: ::std::os::raw::c_uint,
    #[doc = "< Y dimension of each thread block"]
    pub blockDimY: ::std::os::raw::c_uint,
    #[doc = "< Z dimension of each thread block"]
    pub blockDimZ: ::std::os::raw::c_uint,
    #[doc = "< Dynamic shared-memory size per thread block in bytes"]
    pub sharedMemBytes: ::std::os::raw::c_uint,
    #[doc = "< Array of pointers to kernel parameters"]
    pub kernelParams: *mut *mut ::std::os::raw::c_void,
    #[doc = "< Extra options"]
    pub extra: *mut *mut ::std::os::raw::c_void,
    #[doc = "< Kernel to launch, will only be referenced if func is NULL"]
    pub kern: CUkernel,
    #[doc = "< Context for the kernel task to run in. The value NULL will indicate the current context should be used by the api. This field is ignored if func is set."]
    pub ctx: CUcontext,
}
#[doc = " GPU kernel node parameters"]
pub type CUDA_KERNEL_NODE_PARAMS_v2 = CUDA_KERNEL_NODE_PARAMS_v2_st;
#[doc = " GPU kernel node parameters"]
pub type CUDA_KERNEL_NODE_PARAMS = CUDA_KERNEL_NODE_PARAMS_v2;
#[doc = " Memset node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_MEMSET_NODE_PARAMS_st {
    #[doc = "< Destination device pointer"]
    pub dst: CUdeviceptr,
    #[doc = "< Pitch of destination device pointer. Unused if height is 1"]
    pub pitch: usize,
    #[doc = "< Value to be set"]
    pub value: ::std::os::raw::c_uint,
    #[doc = "< Size of each element in bytes. Must be 1, 2, or 4."]
    pub elementSize: ::std::os::raw::c_uint,
    #[doc = "< Width of the row in elements"]
    pub width: usize,
    #[doc = "< Number of rows"]
    pub height: usize,
}
#[doc = " Memset node parameters"]
pub type CUDA_MEMSET_NODE_PARAMS_v1 = CUDA_MEMSET_NODE_PARAMS_st;
#[doc = " Memset node parameters"]
pub type CUDA_MEMSET_NODE_PARAMS = CUDA_MEMSET_NODE_PARAMS_v1;
#[doc = " Host node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_HOST_NODE_PARAMS_st {
    #[doc = "< The function to call when the node executes"]
    pub fn_: CUhostFn,
    #[doc = "< Argument to pass to the function"]
    pub userData: *mut ::std::os::raw::c_void,
}
#[doc = " Host node parameters"]
pub type CUDA_HOST_NODE_PARAMS_v1 = CUDA_HOST_NODE_PARAMS_st;
#[doc = " Host node parameters"]
pub type CUDA_HOST_NODE_PARAMS = CUDA_HOST_NODE_PARAMS_v1;
#[repr(u32)]
#[doc = " Graph node types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUgraphNodeType_enum {
    #[doc = "< GPU kernel node"]
    CU_GRAPH_NODE_TYPE_KERNEL = 0,
    #[doc = "< Memcpy node"]
    CU_GRAPH_NODE_TYPE_MEMCPY = 1,
    #[doc = "< Memset node"]
    CU_GRAPH_NODE_TYPE_MEMSET = 2,
    #[doc = "< Host (executable) node"]
    CU_GRAPH_NODE_TYPE_HOST = 3,
    #[doc = "< Node which executes an embedded graph"]
    CU_GRAPH_NODE_TYPE_GRAPH = 4,
    #[doc = "< Empty (no-op) node"]
    CU_GRAPH_NODE_TYPE_EMPTY = 5,
    #[doc = "< External event wait node"]
    CU_GRAPH_NODE_TYPE_WAIT_EVENT = 6,
    #[doc = "< External event record node"]
    CU_GRAPH_NODE_TYPE_EVENT_RECORD = 7,
    #[doc = "< External semaphore signal node"]
    CU_GRAPH_NODE_TYPE_EXT_SEMAS_SIGNAL = 8,
    #[doc = "< External semaphore wait node"]
    CU_GRAPH_NODE_TYPE_EXT_SEMAS_WAIT = 9,
    #[doc = "< Memory Allocation Node"]
    CU_GRAPH_NODE_TYPE_MEM_ALLOC = 10,
    #[doc = "< Memory Free Node"]
    CU_GRAPH_NODE_TYPE_MEM_FREE = 11,
    #[doc = "< Batch MemOp Node"]
    CU_GRAPH_NODE_TYPE_BATCH_MEM_OP = 12,
}
#[doc = " Graph node types"]
pub use self::CUgraphNodeType_enum as CUgraphNodeType;
#[repr(u32)]
#[doc = " Graph instantiation results"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUgraphInstantiateResult_enum {
    #[doc = "< Instantiation succeeded"]
    CUDA_GRAPH_INSTANTIATE_SUCCESS = 0,
    #[doc = "< Instantiation failed for an unexpected reason which is described in the return value of the function"]
    CUDA_GRAPH_INSTANTIATE_ERROR = 1,
    #[doc = "< Instantiation failed due to invalid structure, such as cycles"]
    CUDA_GRAPH_INSTANTIATE_INVALID_STRUCTURE = 2,
    #[doc = "< Instantiation for device launch failed because the graph contained an unsupported operation"]
    CUDA_GRAPH_INSTANTIATE_NODE_OPERATION_NOT_SUPPORTED = 3,
    #[doc = "< Instantiation for device launch failed due to the nodes belonging to different contexts"]
    CUDA_GRAPH_INSTANTIATE_MULTIPLE_CTXS_NOT_SUPPORTED = 4,
}
#[doc = " Graph instantiation results"]
pub use self::CUgraphInstantiateResult_enum as CUgraphInstantiateResult;
#[doc = " Graph instantiation parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_GRAPH_INSTANTIATE_PARAMS_st {
    #[doc = "< Instantiation flags"]
    pub flags: cuuint64_t,
    #[doc = "< Upload stream"]
    pub hUploadStream: CUstream,
    #[doc = "< The node which caused instantiation to fail, if any"]
    pub hErrNode_out: CUgraphNode,
    #[doc = "< Whether instantiation was successful.  If it failed, the reason why"]
    pub result_out: CUgraphInstantiateResult,
}
#[doc = " Graph instantiation parameters"]
pub type CUDA_GRAPH_INSTANTIATE_PARAMS = CUDA_GRAPH_INSTANTIATE_PARAMS_st;
#[repr(u32)]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUsynchronizationPolicy_enum {
    CU_SYNC_POLICY_AUTO = 1,
    CU_SYNC_POLICY_SPIN = 2,
    CU_SYNC_POLICY_YIELD = 3,
    CU_SYNC_POLICY_BLOCKING_SYNC = 4,
}
pub use self::CUsynchronizationPolicy_enum as CUsynchronizationPolicy;
#[repr(u32)]
#[doc = " Cluster scheduling policies. These may be passed to ::cuFuncSetAttribute or ::cuKernelSetAttribute"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUclusterSchedulingPolicy_enum {
    #[doc = "< the default policy"]
    CU_CLUSTER_SCHEDULING_POLICY_DEFAULT = 0,
    #[doc = "< spread the blocks within a cluster to the SMs"]
    CU_CLUSTER_SCHEDULING_POLICY_SPREAD = 1,
    #[doc = "< allow the hardware to load-balance the blocks in a cluster to the SMs"]
    CU_CLUSTER_SCHEDULING_POLICY_LOAD_BALANCING = 2,
}
#[doc = " Cluster scheduling policies. These may be passed to ::cuFuncSetAttribute or ::cuKernelSetAttribute"]
pub use self::CUclusterSchedulingPolicy_enum as CUclusterSchedulingPolicy;
#[repr(u32)]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUlaunchMemSyncDomain_enum {
    CU_LAUNCH_MEM_SYNC_DOMAIN_DEFAULT = 0,
    CU_LAUNCH_MEM_SYNC_DOMAIN_REMOTE = 1,
}
pub use self::CUlaunchMemSyncDomain_enum as CUlaunchMemSyncDomain;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlaunchMemSyncDomainMap_st {
    pub default_: ::std::os::raw::c_uchar,
    pub remote: ::std::os::raw::c_uchar,
}
pub type CUlaunchMemSyncDomainMap = CUlaunchMemSyncDomainMap_st;
#[repr(u32)]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUlaunchAttributeID_enum {
    #[doc = "< Ignored entry, for convenient composition"]
    CU_LAUNCH_ATTRIBUTE_IGNORE = 0,
    #[doc = "< Valid for streams, graph nodes, launches."]
    CU_LAUNCH_ATTRIBUTE_ACCESS_POLICY_WINDOW = 1,
    #[doc = "< Valid for graph nodes, launches."]
    CU_LAUNCH_ATTRIBUTE_COOPERATIVE = 2,
    #[doc = "< Valid for streams."]
    CU_LAUNCH_ATTRIBUTE_SYNCHRONIZATION_POLICY = 3,
    #[doc = "< Valid for graph nodes, launches."]
    CU_LAUNCH_ATTRIBUTE_CLUSTER_DIMENSION = 4,
    #[doc = "< Valid for graph nodes, launches."]
    CU_LAUNCH_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE = 5,
    #[doc = "< Valid for launches. Setting\nprogrammaticStreamSerializationAllowed to non-0\nsignals that the kernel will use programmatic\nmeans to resolve its stream dependency, so that\nthe CUDA runtime should opportunistically allow\nthe grid's execution to overlap with the previous\nkernel in the stream, if that kernel requests the\noverlap. The dependent launches can choose to wait\non the dependency using the programmatic sync\n(cudaGridDependencySynchronize() or equivalent PTX\ninstructions)."]
    CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION = 6,
    #[doc = "< Valid for launches. Event recorded through this\nlaunch attribute is guaranteed to only trigger\nafter all block in the associated kernel trigger\nthe event. A block can trigger the event through\nPTX launchdep.release or CUDA builtin function\ncudaTriggerProgrammaticLaunchCompletion(). A\ntrigger can also be inserted at the beginning of\neach block's execution if triggerAtBlockStart is\nset to non-0. The dependent launches can choose to\nwait on the dependency using the programmatic sync\n(cudaGridDependencySynchronize() or equivalent PTX\ninstructions). Note that dependents (including the\nCPU thread calling cuEventSynchronize()) are not\nguaranteed to observe the release precisely when\nit is released.  For example, cuEventSynchronize()\nmay only observe the event trigger long after the\nassociated kernel has completed. This recording\ntype is primarily meant for establishing\nprogrammatic dependency between device tasks. The\nevent supplied must not be an interprocess or\ninterop event. The event must disable timing (i.e.\ncreated with ::CU_EVENT_DISABLE_TIMING flag set)."]
    CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_EVENT = 7,
    #[doc = "< Valid for streams, graph nodes, launches."]
    CU_LAUNCH_ATTRIBUTE_PRIORITY = 8,
    CU_LAUNCH_ATTRIBUTE_MEM_SYNC_DOMAIN_MAP = 9,
    CU_LAUNCH_ATTRIBUTE_MEM_SYNC_DOMAIN = 10,
}
pub use self::CUlaunchAttributeID_enum as CUlaunchAttributeID;
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUlaunchAttributeValue_union {
    #[doc = "< Pad to 64 bytes"]
    pub pad: [::std::os::raw::c_char; 64usize],
    #[doc = "< Attribute ::CUaccessPolicyWindow."]
    pub accessPolicyWindow: CUaccessPolicyWindow,
    #[doc = "< Nonzero indicates a cooperative kernel (see ::cuLaunchCooperativeKernel)."]
    pub cooperative: ::std::os::raw::c_int,
    #[doc = "< ::CUsynchronizationPolicy for work queued up in this stream"]
    pub syncPolicy: CUsynchronizationPolicy,
    #[doc = "< Cluster dimensions for the kernel node."]
    pub clusterDim: CUlaunchAttributeValue_union__bindgen_ty_1,
    #[doc = "< Cluster scheduling policy preference for the kernel node."]
    pub clusterSchedulingPolicyPreference: CUclusterSchedulingPolicy,
    pub programmaticStreamSerializationAllowed: ::std::os::raw::c_int,
    pub programmaticEvent: CUlaunchAttributeValue_union__bindgen_ty_2,
    #[doc = "< Execution priority of the kernel."]
    pub priority: ::std::os::raw::c_int,
    pub memSyncDomainMap: CUlaunchMemSyncDomainMap,
    pub memSyncDomain: CUlaunchMemSyncDomain,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlaunchAttributeValue_union__bindgen_ty_1 {
    pub x: ::std::os::raw::c_uint,
    pub y: ::std::os::raw::c_uint,
    pub z: ::std::os::raw::c_uint,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlaunchAttributeValue_union__bindgen_ty_2 {
    pub event: CUevent,
    pub flags: ::std::os::raw::c_int,
    pub triggerAtBlockStart: ::std::os::raw::c_int,
}
pub type CUlaunchAttributeValue = CUlaunchAttributeValue_union;
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUlaunchAttribute_st {
    pub id: CUlaunchAttributeID,
    pub pad: [::std::os::raw::c_char; 4usize],
    pub value: CUlaunchAttributeValue,
}
pub type CUlaunchAttribute = CUlaunchAttribute_st;
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUlaunchConfig_st {
    #[doc = "< Width of grid in blocks"]
    pub gridDimX: ::std::os::raw::c_uint,
    #[doc = "< Height of grid in blocks"]
    pub gridDimY: ::std::os::raw::c_uint,
    #[doc = "< Depth of grid in blocks"]
    pub gridDimZ: ::std::os::raw::c_uint,
    #[doc = "< X dimension of each thread block"]
    pub blockDimX: ::std::os::raw::c_uint,
    #[doc = "< Y dimension of each thread block"]
    pub blockDimY: ::std::os::raw::c_uint,
    #[doc = "< Z dimension of each thread block"]
    pub blockDimZ: ::std::os::raw::c_uint,
    #[doc = "< Dynamic shared-memory size per thread block in bytes"]
    pub sharedMemBytes: ::std::os::raw::c_uint,
    #[doc = "< Stream identifier"]
    pub hStream: CUstream,
    #[doc = "< nullable if numAttrs == 0"]
    pub attrs: *mut CUlaunchAttribute,
    #[doc = "< number of attributes populated in attrs"]
    pub numAttrs: ::std::os::raw::c_uint,
}
pub type CUlaunchConfig = CUlaunchConfig_st;
#[doc = " Graph kernel node Attributes"]
pub use self::CUlaunchAttributeID as CUkernelNodeAttrID;
#[doc = " Graph kernel node attributes union, used with ::cuKernelNodeSetAttribute/::cuKernelNodeGetAttribute"]
pub type CUkernelNodeAttrValue_v1 = CUlaunchAttributeValue;
pub type CUkernelNodeAttrValue = CUkernelNodeAttrValue_v1;
#[repr(u32)]
#[doc = " Possible stream capture statuses returned by ::cuStreamIsCapturing"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUstreamCaptureStatus_enum {
    #[doc = "< Stream is not capturing"]
    CU_STREAM_CAPTURE_STATUS_NONE = 0,
    #[doc = "< Stream is actively capturing"]
    CU_STREAM_CAPTURE_STATUS_ACTIVE = 1,
    #[doc = "< Stream is part of a capture sequence that\nhas been invalidated, but not terminated"]
    CU_STREAM_CAPTURE_STATUS_INVALIDATED = 2,
}
#[doc = " Possible stream capture statuses returned by ::cuStreamIsCapturing"]
pub use self::CUstreamCaptureStatus_enum as CUstreamCaptureStatus;
#[repr(u32)]
#[doc = " Possible modes for stream capture thread interactions. For more details see\n ::cuStreamBeginCapture and ::cuThreadExchangeStreamCaptureMode"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUstreamCaptureMode_enum {
    CU_STREAM_CAPTURE_MODE_GLOBAL = 0,
    CU_STREAM_CAPTURE_MODE_THREAD_LOCAL = 1,
    CU_STREAM_CAPTURE_MODE_RELAXED = 2,
}
#[doc = " Stream Attributes"]
pub use self::CUlaunchAttributeID as CUstreamAttrID;
#[doc = " Possible modes for stream capture thread interactions. For more details see\n ::cuStreamBeginCapture and ::cuThreadExchangeStreamCaptureMode"]
pub use self::CUstreamCaptureMode_enum as CUstreamCaptureMode;
#[doc = " Stream attributes union, used with ::cuStreamSetAttribute/::cuStreamGetAttribute"]
pub type CUstreamAttrValue_v1 = CUlaunchAttributeValue;
pub type CUstreamAttrValue = CUstreamAttrValue_v1;
#[repr(u32)]
#[doc = " Flags to indicate search status. For more details see ::cuGetProcAddress"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUdriverProcAddressQueryResult_enum {
    #[doc = "< Symbol was succesfully found"]
    CU_GET_PROC_ADDRESS_SUCCESS = 0,
    #[doc = "< Symbol was not found in search"]
    CU_GET_PROC_ADDRESS_SYMBOL_NOT_FOUND = 1,
    #[doc = "< Symbol was found but version supplied was not sufficient"]
    CU_GET_PROC_ADDRESS_VERSION_NOT_SUFFICIENT = 2,
}
#[doc = " Flags to indicate search status. For more details see ::cuGetProcAddress"]
pub use self::CUdriverProcAddressQueryResult_enum as CUdriverProcAddressQueryResult;
#[repr(u32)]
#[doc = " Execution Affinity Types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUexecAffinityType_enum {
    #[doc = "< Create a context with limited SMs."]
    CU_EXEC_AFFINITY_TYPE_SM_COUNT = 0,
    CU_EXEC_AFFINITY_TYPE_MAX = 1,
}
#[doc = " Execution Affinity Types"]
pub use self::CUexecAffinityType_enum as CUexecAffinityType;
#[doc = " Value for ::CU_EXEC_AFFINITY_TYPE_SM_COUNT"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUexecAffinitySmCount_st {
    #[doc = "< The number of SMs the context is limited to use."]
    pub val: ::std::os::raw::c_uint,
}
#[doc = " Value for ::CU_EXEC_AFFINITY_TYPE_SM_COUNT"]
pub type CUexecAffinitySmCount_v1 = CUexecAffinitySmCount_st;
#[doc = " Value for ::CU_EXEC_AFFINITY_TYPE_SM_COUNT"]
pub type CUexecAffinitySmCount = CUexecAffinitySmCount_v1;
#[doc = " Execution Affinity Parameters"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUexecAffinityParam_st {
    pub type_: CUexecAffinityType,
    pub param: CUexecAffinityParam_st__bindgen_ty_1,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUexecAffinityParam_st__bindgen_ty_1 {
    pub smCount: CUexecAffinitySmCount,
}
#[doc = " Execution Affinity Parameters"]
pub type CUexecAffinityParam_v1 = CUexecAffinityParam_st;
#[doc = " Execution Affinity Parameters"]
pub type CUexecAffinityParam = CUexecAffinityParam_v1;
#[repr(u32)]
#[doc = " Library options to be specified with ::cuLibraryLoadData() or ::cuLibraryLoadFromFile()"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUlibraryOption_enum {
    CU_LIBRARY_HOST_UNIVERSAL_FUNCTION_AND_DATA_TABLE = 0,
    #[doc = " Specifes that the argument \\p code passed to ::cuLibraryLoadData() will be preserved.\n Specifying this option will let the driver know that \\p code can be accessed at any point\n until ::cuLibraryUnload(). The default behavior is for the driver to allocate and\n maintain its own copy of \\p code. Note that this is only a memory usage optimization\n hint and the driver can choose to ignore it if required.\n Specifying this option with ::cuLibraryLoadFromFile() is invalid and\n will return ::CUDA_ERROR_INVALID_VALUE."]
    CU_LIBRARY_BINARY_IS_PRESERVED = 1,
    #[doc = " Specifes that the argument \\p code passed to ::cuLibraryLoadData() will be preserved.\n Specifying this option will let the driver know that \\p code can be accessed at any point\n until ::cuLibraryUnload(). The default behavior is for the driver to allocate and\n maintain its own copy of \\p code. Note that this is only a memory usage optimization\n hint and the driver can choose to ignore it if required.\n Specifying this option with ::cuLibraryLoadFromFile() is invalid and\n will return ::CUDA_ERROR_INVALID_VALUE."]
    CU_LIBRARY_NUM_OPTIONS = 2,
}
#[doc = " Library options to be specified with ::cuLibraryLoadData() or ::cuLibraryLoadFromFile()"]
pub use self::CUlibraryOption_enum as CUlibraryOption;
#[repr(u32)]
#[doc = " Error codes"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum cudaError_enum {
    #[doc = " The API call returned with no errors. In the case of query calls, this\n also means that the operation being queried is complete (see\n ::cuEventQuery() and ::cuStreamQuery())."]
    CUDA_SUCCESS = 0,
    #[doc = " This indicates that one or more of the parameters passed to the API call\n is not within an acceptable range of values."]
    CUDA_ERROR_INVALID_VALUE = 1,
    #[doc = " The API call failed because it was unable to allocate enough memory to\n perform the requested operation."]
    CUDA_ERROR_OUT_OF_MEMORY = 2,
    #[doc = " This indicates that the CUDA driver has not been initialized with\n ::cuInit() or that initialization has failed."]
    CUDA_ERROR_NOT_INITIALIZED = 3,
    #[doc = " This indicates that the CUDA driver is in the process of shutting down."]
    CUDA_ERROR_DEINITIALIZED = 4,
    #[doc = " This indicates profiler is not initialized for this run. This can\n happen when the application is running with external profiling tools\n like visual profiler."]
    CUDA_ERROR_PROFILER_DISABLED = 5,
    #[doc = " \\deprecated\n This error return is deprecated as of CUDA 5.0. It is no longer an error\n to attempt to enable/disable the profiling via ::cuProfilerStart or\n ::cuProfilerStop without initialization."]
    CUDA_ERROR_PROFILER_NOT_INITIALIZED = 6,
    #[doc = " \\deprecated\n This error return is deprecated as of CUDA 5.0. It is no longer an error\n to call cuProfilerStart() when profiling is already enabled."]
    CUDA_ERROR_PROFILER_ALREADY_STARTED = 7,
    #[doc = " \\deprecated\n This error return is deprecated as of CUDA 5.0. It is no longer an error\n to call cuProfilerStop() when profiling is already disabled."]
    CUDA_ERROR_PROFILER_ALREADY_STOPPED = 8,
    #[doc = " This indicates that the CUDA driver that the application has loaded is a\n stub library. Applications that run with the stub rather than a real\n driver loaded will result in CUDA API returning this error."]
    CUDA_ERROR_STUB_LIBRARY = 34,
    #[doc = " This indicates that requested CUDA device is unavailable at the current\n time. Devices are often unavailable due to use of\n ::CU_COMPUTEMODE_EXCLUSIVE_PROCESS or ::CU_COMPUTEMODE_PROHIBITED."]
    CUDA_ERROR_DEVICE_UNAVAILABLE = 46,
    #[doc = " This indicates that no CUDA-capable devices were detected by the installed\n CUDA driver."]
    CUDA_ERROR_NO_DEVICE = 100,
    #[doc = " This indicates that the device ordinal supplied by the user does not\n correspond to a valid CUDA device or that the action requested is\n invalid for the specified device."]
    CUDA_ERROR_INVALID_DEVICE = 101,
    #[doc = " This error indicates that the Grid license is not applied."]
    CUDA_ERROR_DEVICE_NOT_LICENSED = 102,
    #[doc = " This indicates that the device kernel image is invalid. This can also\n indicate an invalid CUDA module."]
    CUDA_ERROR_INVALID_IMAGE = 200,
    #[doc = " This most frequently indicates that there is no context bound to the\n current thread. This can also be returned if the context passed to an\n API call is not a valid handle (such as a context that has had\n ::cuCtxDestroy() invoked on it). This can also be returned if a user\n mixes different API versions (i.e. 3010 context with 3020 API calls).\n See ::cuCtxGetApiVersion() for more details."]
    CUDA_ERROR_INVALID_CONTEXT = 201,
    #[doc = " This indicated that the context being supplied as a parameter to the\n API call was already the active context.\n \\deprecated\n This error return is deprecated as of CUDA 3.2. It is no longer an\n error to attempt to push the active context via ::cuCtxPushCurrent()."]
    CUDA_ERROR_CONTEXT_ALREADY_CURRENT = 202,
    #[doc = " This indicates that a map or register operation has failed."]
    CUDA_ERROR_MAP_FAILED = 205,
    #[doc = " This indicates that an unmap or unregister operation has failed."]
    CUDA_ERROR_UNMAP_FAILED = 206,
    #[doc = " This indicates that the specified array is currently mapped and thus\n cannot be destroyed."]
    CUDA_ERROR_ARRAY_IS_MAPPED = 207,
    #[doc = " This indicates that the resource is already mapped."]
    CUDA_ERROR_ALREADY_MAPPED = 208,
    #[doc = " This indicates that there is no kernel image available that is suitable\n for the device. This can occur when a user specifies code generation\n options for a particular CUDA source file that do not include the\n corresponding device configuration."]
    CUDA_ERROR_NO_BINARY_FOR_GPU = 209,
    #[doc = " This indicates that a resource has already been acquired."]
    CUDA_ERROR_ALREADY_ACQUIRED = 210,
    #[doc = " This indicates that a resource is not mapped."]
    CUDA_ERROR_NOT_MAPPED = 211,
    #[doc = " This indicates that a mapped resource is not available for access as an\n array."]
    CUDA_ERROR_NOT_MAPPED_AS_ARRAY = 212,
    #[doc = " This indicates that a mapped resource is not available for access as a\n pointer."]
    CUDA_ERROR_NOT_MAPPED_AS_POINTER = 213,
    #[doc = " This indicates that an uncorrectable ECC error was detected during\n execution."]
    CUDA_ERROR_ECC_UNCORRECTABLE = 214,
    #[doc = " This indicates that the ::CUlimit passed to the API call is not\n supported by the active device."]
    CUDA_ERROR_UNSUPPORTED_LIMIT = 215,
    #[doc = " This indicates that the ::CUcontext passed to the API call can\n only be bound to a single CPU thread at a time but is already\n bound to a CPU thread."]
    CUDA_ERROR_CONTEXT_ALREADY_IN_USE = 216,
    #[doc = " This indicates that peer access is not supported across the given\n devices."]
    CUDA_ERROR_PEER_ACCESS_UNSUPPORTED = 217,
    #[doc = " This indicates that a PTX JIT compilation failed."]
    CUDA_ERROR_INVALID_PTX = 218,
    #[doc = " This indicates an error with OpenGL or DirectX context."]
    CUDA_ERROR_INVALID_GRAPHICS_CONTEXT = 219,
    #[doc = " This indicates that an uncorrectable NVLink error was detected during the\n execution."]
    CUDA_ERROR_NVLINK_UNCORRECTABLE = 220,
    #[doc = " This indicates that the PTX JIT compiler library was not found."]
    CUDA_ERROR_JIT_COMPILER_NOT_FOUND = 221,
    #[doc = " This indicates that the provided PTX was compiled with an unsupported toolchain."]
    CUDA_ERROR_UNSUPPORTED_PTX_VERSION = 222,
    #[doc = " This indicates that the PTX JIT compilation was disabled."]
    CUDA_ERROR_JIT_COMPILATION_DISABLED = 223,
    #[doc = " This indicates that the ::CUexecAffinityType passed to the API call is not\n supported by the active device."]
    CUDA_ERROR_UNSUPPORTED_EXEC_AFFINITY = 224,
    #[doc = " This indicates that the device kernel source is invalid. This includes\n compilation/linker errors encountered in device code or user error."]
    CUDA_ERROR_INVALID_SOURCE = 300,
    #[doc = " This indicates that the file specified was not found."]
    CUDA_ERROR_FILE_NOT_FOUND = 301,
    #[doc = " This indicates that a link to a shared object failed to resolve."]
    CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND = 302,
    #[doc = " This indicates that initialization of a shared object failed."]
    CUDA_ERROR_SHARED_OBJECT_INIT_FAILED = 303,
    #[doc = " This indicates that an OS call failed."]
    CUDA_ERROR_OPERATING_SYSTEM = 304,
    #[doc = " This indicates that a resource handle passed to the API call was not\n valid. Resource handles are opaque types like ::CUstream and ::CUevent."]
    CUDA_ERROR_INVALID_HANDLE = 400,
    #[doc = " This indicates that a resource required by the API call is not in a\n valid state to perform the requested operation."]
    CUDA_ERROR_ILLEGAL_STATE = 401,
    #[doc = " This indicates that a named symbol was not found. Examples of symbols\n are global/constant variable names, driver function names, texture names,\n and surface names."]
    CUDA_ERROR_NOT_FOUND = 500,
    #[doc = " This indicates that asynchronous operations issued previously have not\n completed yet. This result is not actually an error, but must be indicated\n differently than ::CUDA_SUCCESS (which indicates completion). Calls that\n may return this value include ::cuEventQuery() and ::cuStreamQuery()."]
    CUDA_ERROR_NOT_READY = 600,
    #[doc = " While executing a kernel, the device encountered a\n load or store instruction on an invalid memory address.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_ILLEGAL_ADDRESS = 700,
    #[doc = " This indicates that a launch did not occur because it did not have\n appropriate resources. This error usually indicates that the user has\n attempted to pass too many arguments to the device kernel, or the\n kernel launch specifies too many threads for the kernel's register\n count. Passing arguments of the wrong size (i.e. a 64-bit pointer\n when a 32-bit int is expected) is equivalent to passing too many\n arguments and can also result in this error."]
    CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES = 701,
    #[doc = " This indicates that the device kernel took too long to execute. This can\n only occur if timeouts are enabled - see the device attribute\n ::CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT for more information.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_LAUNCH_TIMEOUT = 702,
    #[doc = " This error indicates a kernel launch that uses an incompatible texturing\n mode."]
    CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING = 703,
    #[doc = " This error indicates that a call to ::cuCtxEnablePeerAccess() is\n trying to re-enable peer access to a context which has already\n had peer access to it enabled."]
    CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED = 704,
    #[doc = " This error indicates that ::cuCtxDisablePeerAccess() is\n trying to disable peer access which has not been enabled yet\n via ::cuCtxEnablePeerAccess()."]
    CUDA_ERROR_PEER_ACCESS_NOT_ENABLED = 705,
    #[doc = " This error indicates that the primary context for the specified device\n has already been initialized."]
    CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE = 708,
    #[doc = " This error indicates that the context current to the calling thread\n has been destroyed using ::cuCtxDestroy, or is a primary context which\n has not yet been initialized."]
    CUDA_ERROR_CONTEXT_IS_DESTROYED = 709,
    #[doc = " A device-side assert triggered during kernel execution. The context\n cannot be used anymore, and must be destroyed. All existing device\n memory allocations from this context are invalid and must be\n reconstructed if the program is to continue using CUDA."]
    CUDA_ERROR_ASSERT = 710,
    #[doc = " This error indicates that the hardware resources required to enable\n peer access have been exhausted for one or more of the devices\n passed to ::cuCtxEnablePeerAccess()."]
    CUDA_ERROR_TOO_MANY_PEERS = 711,
    #[doc = " This error indicates that the memory range passed to ::cuMemHostRegister()\n has already been registered."]
    CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED = 712,
    #[doc = " This error indicates that the pointer passed to ::cuMemHostUnregister()\n does not correspond to any currently registered memory region."]
    CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED = 713,
    #[doc = " While executing a kernel, the device encountered a stack error.\n This can be due to stack corruption or exceeding the stack size limit.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_HARDWARE_STACK_ERROR = 714,
    #[doc = " While executing a kernel, the device encountered an illegal instruction.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_ILLEGAL_INSTRUCTION = 715,
    #[doc = " While executing a kernel, the device encountered a load or store instruction\n on a memory address which is not aligned.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_MISALIGNED_ADDRESS = 716,
    #[doc = " While executing a kernel, the device encountered an instruction\n which can only operate on memory locations in certain address spaces\n (global, shared, or local), but was supplied a memory address not\n belonging to an allowed address space.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_INVALID_ADDRESS_SPACE = 717,
    #[doc = " While executing a kernel, the device program counter wrapped its address space.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_INVALID_PC = 718,
    #[doc = " An exception occurred on the device while executing a kernel. Common\n causes include dereferencing an invalid device pointer and accessing\n out of bounds shared memory. Less common cases can be system specific - more\n information about these cases can be found in the system specific user guide.\n This leaves the process in an inconsistent state and any further CUDA work\n will return the same error. To continue using CUDA, the process must be terminated\n and relaunched."]
    CUDA_ERROR_LAUNCH_FAILED = 719,
    #[doc = " This error indicates that the number of blocks launched per grid for a kernel that was\n launched via either ::cuLaunchCooperativeKernel or ::cuLaunchCooperativeKernelMultiDevice\n exceeds the maximum number of blocks as allowed by ::cuOccupancyMaxActiveBlocksPerMultiprocessor\n or ::cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags times the number of multiprocessors\n as specified by the device attribute ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT."]
    CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE = 720,
    #[doc = " This error indicates that the attempted operation is not permitted."]
    CUDA_ERROR_NOT_PERMITTED = 800,
    #[doc = " This error indicates that the attempted operation is not supported\n on the current system or device."]
    CUDA_ERROR_NOT_SUPPORTED = 801,
    #[doc = " This error indicates that the system is not yet ready to start any CUDA\n work.  To continue using CUDA, verify the system configuration is in a\n valid state and all required driver daemons are actively running.\n More information about this error can be found in the system specific\n user guide."]
    CUDA_ERROR_SYSTEM_NOT_READY = 802,
    #[doc = " This error indicates that there is a mismatch between the versions of\n the display driver and the CUDA driver. Refer to the compatibility documentation\n for supported versions."]
    CUDA_ERROR_SYSTEM_DRIVER_MISMATCH = 803,
    #[doc = " This error indicates that the system was upgraded to run with forward compatibility\n but the visible hardware detected by CUDA does not support this configuration.\n Refer to the compatibility documentation for the supported hardware matrix or ensure\n that only supported hardware is visible during initialization via the CUDA_VISIBLE_DEVICES\n environment variable."]
    CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE = 804,
    #[doc = " This error indicates that the MPS client failed to connect to the MPS control daemon or the MPS server."]
    CUDA_ERROR_MPS_CONNECTION_FAILED = 805,
    #[doc = " This error indicates that the remote procedural call between the MPS server and the MPS client failed."]
    CUDA_ERROR_MPS_RPC_FAILURE = 806,
    #[doc = " This error indicates that the MPS server is not ready to accept new MPS client requests.\n This error can be returned when the MPS server is in the process of recovering from a fatal failure."]
    CUDA_ERROR_MPS_SERVER_NOT_READY = 807,
    #[doc = " This error indicates that the hardware resources required to create MPS client have been exhausted."]
    CUDA_ERROR_MPS_MAX_CLIENTS_REACHED = 808,
    #[doc = " This error indicates the the hardware resources required to support device connections have been exhausted."]
    CUDA_ERROR_MPS_MAX_CONNECTIONS_REACHED = 809,
    #[doc = " This error indicates that the MPS client has been terminated by the server. To continue using CUDA, the process must be terminated and relaunched."]
    CUDA_ERROR_MPS_CLIENT_TERMINATED = 810,
    #[doc = " This error indicates that the module is using CUDA Dynamic Parallelism, but the current configuration, like MPS, does not support it."]
    CUDA_ERROR_CDP_NOT_SUPPORTED = 811,
    #[doc = " This error indicates that a module contains an unsupported interaction between different versions of CUDA Dynamic Parallelism."]
    CUDA_ERROR_CDP_VERSION_MISMATCH = 812,
    #[doc = " This error indicates that the operation is not permitted when\n the stream is capturing."]
    CUDA_ERROR_STREAM_CAPTURE_UNSUPPORTED = 900,
    #[doc = " This error indicates that the current capture sequence on the stream\n has been invalidated due to a previous error."]
    CUDA_ERROR_STREAM_CAPTURE_INVALIDATED = 901,
    #[doc = " This error indicates that the operation would have resulted in a merge\n of two independent capture sequences."]
    CUDA_ERROR_STREAM_CAPTURE_MERGE = 902,
    #[doc = " This error indicates that the capture was not initiated in this stream."]
    CUDA_ERROR_STREAM_CAPTURE_UNMATCHED = 903,
    #[doc = " This error indicates that the capture sequence contains a fork that was\n not joined to the primary stream."]
    CUDA_ERROR_STREAM_CAPTURE_UNJOINED = 904,
    #[doc = " This error indicates that a dependency would have been created which\n crosses the capture sequence boundary. Only implicit in-stream ordering\n dependencies are allowed to cross the boundary."]
    CUDA_ERROR_STREAM_CAPTURE_ISOLATION = 905,
    #[doc = " This error indicates a disallowed implicit dependency on a current capture\n sequence from cudaStreamLegacy."]
    CUDA_ERROR_STREAM_CAPTURE_IMPLICIT = 906,
    #[doc = " This error indicates that the operation is not permitted on an event which\n was last recorded in a capturing stream."]
    CUDA_ERROR_CAPTURED_EVENT = 907,
    #[doc = " A stream capture sequence not initiated with the ::CU_STREAM_CAPTURE_MODE_RELAXED\n argument to ::cuStreamBeginCapture was passed to ::cuStreamEndCapture in a\n different thread."]
    CUDA_ERROR_STREAM_CAPTURE_WRONG_THREAD = 908,
    #[doc = " This error indicates that the timeout specified for the wait operation has lapsed."]
    CUDA_ERROR_TIMEOUT = 909,
    #[doc = " This error indicates that the graph update was not performed because it included\n changes which violated constraints specific to instantiated graph update."]
    CUDA_ERROR_GRAPH_EXEC_UPDATE_FAILURE = 910,
    #[doc = " This indicates that an async error has occurred in a device outside of CUDA.\n If CUDA was waiting for an external device's signal before consuming shared data,\n the external device signaled an error indicating that the data is not valid for\n consumption. This leaves the process in an inconsistent state and any further CUDA\n work will return the same error. To continue using CUDA, the process must be\n terminated and relaunched."]
    CUDA_ERROR_EXTERNAL_DEVICE = 911,
    #[doc = " Indicates a kernel launch error due to cluster misconfiguration."]
    CUDA_ERROR_INVALID_CLUSTER_SIZE = 912,
    #[doc = " This indicates that an unknown internal error has occurred."]
    CUDA_ERROR_UNKNOWN = 999,
}
#[doc = " Error codes"]
pub use self::cudaError_enum as CUresult;
impl CUdevice_P2PAttribute_enum {
    pub const CU_DEVICE_P2P_ATTRIBUTE_CUDA_ARRAY_ACCESS_SUPPORTED: CUdevice_P2PAttribute_enum =
        CUdevice_P2PAttribute_enum::CU_DEVICE_P2P_ATTRIBUTE_ACCESS_ACCESS_SUPPORTED;
}
#[repr(u32)]
#[doc = " P2P Attributes"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUdevice_P2PAttribute_enum {
    #[doc = "< A relative value indicating the performance of the link between two devices"]
    CU_DEVICE_P2P_ATTRIBUTE_PERFORMANCE_RANK = 1,
    #[doc = "< P2P Access is enable"]
    CU_DEVICE_P2P_ATTRIBUTE_ACCESS_SUPPORTED = 2,
    #[doc = "< Atomic operation over the link supported"]
    CU_DEVICE_P2P_ATTRIBUTE_NATIVE_ATOMIC_SUPPORTED = 3,
    #[doc = "< \\deprecated use CU_DEVICE_P2P_ATTRIBUTE_CUDA_ARRAY_ACCESS_SUPPORTED instead"]
    CU_DEVICE_P2P_ATTRIBUTE_ACCESS_ACCESS_SUPPORTED = 4,
}
#[doc = " P2P Attributes"]
pub use self::CUdevice_P2PAttribute_enum as CUdevice_P2PAttribute;
#[doc = " CUDA stream callback\n \\param hStream The stream the callback was added to, as passed to ::cuStreamAddCallback.  May be NULL.\n \\param status ::CUDA_SUCCESS or any persistent error on the stream.\n \\param userData User parameter provided at registration."]
pub type CUstreamCallback = ::std::option::Option<
    unsafe extern "C" fn(
        hStream: CUstream,
        status: CUresult,
        userData: *mut ::std::os::raw::c_void,
    ),
>;
#[doc = " Block size to per-block dynamic shared memory mapping for a certain\n kernel \\param blockSize Block size of the kernel.\n\n \\return The dynamic shared memory needed by a block."]
pub type CUoccupancyB2DSize =
    ::std::option::Option<unsafe extern "C" fn(blockSize: ::std::os::raw::c_int) -> usize>;
#[doc = " 2D memory copy parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_MEMCPY2D_st {
    #[doc = "< Source X in bytes"]
    pub srcXInBytes: usize,
    #[doc = "< Source Y"]
    pub srcY: usize,
    #[doc = "< Source memory type (host, device, array)"]
    pub srcMemoryType: CUmemorytype,
    #[doc = "< Source host pointer"]
    pub srcHost: *const ::std::os::raw::c_void,
    #[doc = "< Source device pointer"]
    pub srcDevice: CUdeviceptr,
    #[doc = "< Source array reference"]
    pub srcArray: CUarray,
    #[doc = "< Source pitch (ignored when src is array)"]
    pub srcPitch: usize,
    #[doc = "< Destination X in bytes"]
    pub dstXInBytes: usize,
    #[doc = "< Destination Y"]
    pub dstY: usize,
    #[doc = "< Destination memory type (host, device, array)"]
    pub dstMemoryType: CUmemorytype,
    #[doc = "< Destination host pointer"]
    pub dstHost: *mut ::std::os::raw::c_void,
    #[doc = "< Destination device pointer"]
    pub dstDevice: CUdeviceptr,
    #[doc = "< Destination array reference"]
    pub dstArray: CUarray,
    #[doc = "< Destination pitch (ignored when dst is array)"]
    pub dstPitch: usize,
    #[doc = "< Width of 2D memory copy in bytes"]
    pub WidthInBytes: usize,
    #[doc = "< Height of 2D memory copy"]
    pub Height: usize,
}
#[doc = " 2D memory copy parameters"]
pub type CUDA_MEMCPY2D_v2 = CUDA_MEMCPY2D_st;
#[doc = " 2D memory copy parameters"]
pub type CUDA_MEMCPY2D = CUDA_MEMCPY2D_v2;
#[doc = " 3D memory copy parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_MEMCPY3D_st {
    #[doc = "< Source X in bytes"]
    pub srcXInBytes: usize,
    #[doc = "< Source Y"]
    pub srcY: usize,
    #[doc = "< Source Z"]
    pub srcZ: usize,
    #[doc = "< Source LOD"]
    pub srcLOD: usize,
    #[doc = "< Source memory type (host, device, array)"]
    pub srcMemoryType: CUmemorytype,
    #[doc = "< Source host pointer"]
    pub srcHost: *const ::std::os::raw::c_void,
    #[doc = "< Source device pointer"]
    pub srcDevice: CUdeviceptr,
    #[doc = "< Source array reference"]
    pub srcArray: CUarray,
    #[doc = "< Must be NULL"]
    pub reserved0: *mut ::std::os::raw::c_void,
    #[doc = "< Source pitch (ignored when src is array)"]
    pub srcPitch: usize,
    #[doc = "< Source height (ignored when src is array; may be 0 if Depth==1)"]
    pub srcHeight: usize,
    #[doc = "< Destination X in bytes"]
    pub dstXInBytes: usize,
    #[doc = "< Destination Y"]
    pub dstY: usize,
    #[doc = "< Destination Z"]
    pub dstZ: usize,
    #[doc = "< Destination LOD"]
    pub dstLOD: usize,
    #[doc = "< Destination memory type (host, device, array)"]
    pub dstMemoryType: CUmemorytype,
    #[doc = "< Destination host pointer"]
    pub dstHost: *mut ::std::os::raw::c_void,
    #[doc = "< Destination device pointer"]
    pub dstDevice: CUdeviceptr,
    #[doc = "< Destination array reference"]
    pub dstArray: CUarray,
    #[doc = "< Must be NULL"]
    pub reserved1: *mut ::std::os::raw::c_void,
    #[doc = "< Destination pitch (ignored when dst is array)"]
    pub dstPitch: usize,
    #[doc = "< Destination height (ignored when dst is array; may be 0 if Depth==1)"]
    pub dstHeight: usize,
    #[doc = "< Width of 3D memory copy in bytes"]
    pub WidthInBytes: usize,
    #[doc = "< Height of 3D memory copy"]
    pub Height: usize,
    #[doc = "< Depth of 3D memory copy"]
    pub Depth: usize,
}
#[doc = " 3D memory copy parameters"]
pub type CUDA_MEMCPY3D_v2 = CUDA_MEMCPY3D_st;
#[doc = " 3D memory copy parameters"]
pub type CUDA_MEMCPY3D = CUDA_MEMCPY3D_v2;
#[doc = " 3D memory cross-context copy parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_MEMCPY3D_PEER_st {
    #[doc = "< Source X in bytes"]
    pub srcXInBytes: usize,
    #[doc = "< Source Y"]
    pub srcY: usize,
    #[doc = "< Source Z"]
    pub srcZ: usize,
    #[doc = "< Source LOD"]
    pub srcLOD: usize,
    #[doc = "< Source memory type (host, device, array)"]
    pub srcMemoryType: CUmemorytype,
    #[doc = "< Source host pointer"]
    pub srcHost: *const ::std::os::raw::c_void,
    #[doc = "< Source device pointer"]
    pub srcDevice: CUdeviceptr,
    #[doc = "< Source array reference"]
    pub srcArray: CUarray,
    #[doc = "< Source context (ignored with srcMemoryType is ::CU_MEMORYTYPE_ARRAY)"]
    pub srcContext: CUcontext,
    #[doc = "< Source pitch (ignored when src is array)"]
    pub srcPitch: usize,
    #[doc = "< Source height (ignored when src is array; may be 0 if Depth==1)"]
    pub srcHeight: usize,
    #[doc = "< Destination X in bytes"]
    pub dstXInBytes: usize,
    #[doc = "< Destination Y"]
    pub dstY: usize,
    #[doc = "< Destination Z"]
    pub dstZ: usize,
    #[doc = "< Destination LOD"]
    pub dstLOD: usize,
    #[doc = "< Destination memory type (host, device, array)"]
    pub dstMemoryType: CUmemorytype,
    #[doc = "< Destination host pointer"]
    pub dstHost: *mut ::std::os::raw::c_void,
    #[doc = "< Destination device pointer"]
    pub dstDevice: CUdeviceptr,
    #[doc = "< Destination array reference"]
    pub dstArray: CUarray,
    #[doc = "< Destination context (ignored with dstMemoryType is ::CU_MEMORYTYPE_ARRAY)"]
    pub dstContext: CUcontext,
    #[doc = "< Destination pitch (ignored when dst is array)"]
    pub dstPitch: usize,
    #[doc = "< Destination height (ignored when dst is array; may be 0 if Depth==1)"]
    pub dstHeight: usize,
    #[doc = "< Width of 3D memory copy in bytes"]
    pub WidthInBytes: usize,
    #[doc = "< Height of 3D memory copy"]
    pub Height: usize,
    #[doc = "< Depth of 3D memory copy"]
    pub Depth: usize,
}
#[doc = " 3D memory cross-context copy parameters"]
pub type CUDA_MEMCPY3D_PEER_v1 = CUDA_MEMCPY3D_PEER_st;
#[doc = " 3D memory cross-context copy parameters"]
pub type CUDA_MEMCPY3D_PEER = CUDA_MEMCPY3D_PEER_v1;
#[doc = " Array descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_ARRAY_DESCRIPTOR_st {
    #[doc = "< Width of array"]
    pub Width: usize,
    #[doc = "< Height of array"]
    pub Height: usize,
    #[doc = "< Array format"]
    pub Format: CUarray_format,
    #[doc = "< Channels per array element"]
    pub NumChannels: ::std::os::raw::c_uint,
}
#[doc = " Array descriptor"]
pub type CUDA_ARRAY_DESCRIPTOR_v2 = CUDA_ARRAY_DESCRIPTOR_st;
#[doc = " Array descriptor"]
pub type CUDA_ARRAY_DESCRIPTOR = CUDA_ARRAY_DESCRIPTOR_v2;
#[doc = " 3D array descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_ARRAY3D_DESCRIPTOR_st {
    #[doc = "< Width of 3D array"]
    pub Width: usize,
    #[doc = "< Height of 3D array"]
    pub Height: usize,
    #[doc = "< Depth of 3D array"]
    pub Depth: usize,
    #[doc = "< Array format"]
    pub Format: CUarray_format,
    #[doc = "< Channels per array element"]
    pub NumChannels: ::std::os::raw::c_uint,
    #[doc = "< Flags"]
    pub Flags: ::std::os::raw::c_uint,
}
#[doc = " 3D array descriptor"]
pub type CUDA_ARRAY3D_DESCRIPTOR_v2 = CUDA_ARRAY3D_DESCRIPTOR_st;
#[doc = " 3D array descriptor"]
pub type CUDA_ARRAY3D_DESCRIPTOR = CUDA_ARRAY3D_DESCRIPTOR_v2;
#[doc = " CUDA array sparse properties"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_ARRAY_SPARSE_PROPERTIES_st {
    pub tileExtent: CUDA_ARRAY_SPARSE_PROPERTIES_st__bindgen_ty_1,
    #[doc = " First mip level at which the mip tail begins."]
    pub miptailFirstLevel: ::std::os::raw::c_uint,
    #[doc = " Total size of the mip tail."]
    pub miptailSize: ::std::os::raw::c_ulonglong,
    #[doc = " Flags will either be zero or ::CU_ARRAY_SPARSE_PROPERTIES_SINGLE_MIPTAIL"]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 4usize],
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_ARRAY_SPARSE_PROPERTIES_st__bindgen_ty_1 {
    #[doc = "< Width of sparse tile in elements"]
    pub width: ::std::os::raw::c_uint,
    #[doc = "< Height of sparse tile in elements"]
    pub height: ::std::os::raw::c_uint,
    #[doc = "< Depth of sparse tile in elements"]
    pub depth: ::std::os::raw::c_uint,
}
#[doc = " CUDA array sparse properties"]
pub type CUDA_ARRAY_SPARSE_PROPERTIES_v1 = CUDA_ARRAY_SPARSE_PROPERTIES_st;
#[doc = " CUDA array sparse properties"]
pub type CUDA_ARRAY_SPARSE_PROPERTIES = CUDA_ARRAY_SPARSE_PROPERTIES_v1;
#[doc = " CUDA array memory requirements"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_ARRAY_MEMORY_REQUIREMENTS_st {
    #[doc = "< Total required memory size"]
    pub size: usize,
    #[doc = "< alignment requirement"]
    pub alignment: usize,
    pub reserved: [::std::os::raw::c_uint; 4usize],
}
#[doc = " CUDA array memory requirements"]
pub type CUDA_ARRAY_MEMORY_REQUIREMENTS_v1 = CUDA_ARRAY_MEMORY_REQUIREMENTS_st;
#[doc = " CUDA array memory requirements"]
pub type CUDA_ARRAY_MEMORY_REQUIREMENTS = CUDA_ARRAY_MEMORY_REQUIREMENTS_v1;
#[doc = " CUDA Resource descriptor"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st {
    #[doc = "< Resource type"]
    pub resType: CUresourcetype,
    pub res: CUDA_RESOURCE_DESC_st__bindgen_ty_1,
    #[doc = "< Flags (must be zero)"]
    pub flags: ::std::os::raw::c_uint,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUDA_RESOURCE_DESC_st__bindgen_ty_1 {
    pub array: CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_1,
    pub mipmap: CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_2,
    pub linear: CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_3,
    pub pitch2D: CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_4,
    pub reserved: CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_5,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_1 {
    #[doc = "< CUDA array"]
    pub hArray: CUarray,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_2 {
    #[doc = "< CUDA mipmapped array"]
    pub hMipmappedArray: CUmipmappedArray,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_3 {
    #[doc = "< Device pointer"]
    pub devPtr: CUdeviceptr,
    #[doc = "< Array format"]
    pub format: CUarray_format,
    #[doc = "< Channels per array element"]
    pub numChannels: ::std::os::raw::c_uint,
    #[doc = "< Size in bytes"]
    pub sizeInBytes: usize,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_4 {
    #[doc = "< Device pointer"]
    pub devPtr: CUdeviceptr,
    #[doc = "< Array format"]
    pub format: CUarray_format,
    #[doc = "< Channels per array element"]
    pub numChannels: ::std::os::raw::c_uint,
    #[doc = "< Width of the array in elements"]
    pub width: usize,
    #[doc = "< Height of the array in elements"]
    pub height: usize,
    #[doc = "< Pitch between two rows in bytes"]
    pub pitchInBytes: usize,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_DESC_st__bindgen_ty_1__bindgen_ty_5 {
    pub reserved: [::std::os::raw::c_int; 32usize],
}
#[doc = " CUDA Resource descriptor"]
pub type CUDA_RESOURCE_DESC_v1 = CUDA_RESOURCE_DESC_st;
#[doc = " CUDA Resource descriptor"]
pub type CUDA_RESOURCE_DESC = CUDA_RESOURCE_DESC_v1;
#[doc = " Texture descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_TEXTURE_DESC_st {
    #[doc = "< Address modes"]
    pub addressMode: [CUaddress_mode; 3usize],
    #[doc = "< Filter mode"]
    pub filterMode: CUfilter_mode,
    #[doc = "< Flags"]
    pub flags: ::std::os::raw::c_uint,
    #[doc = "< Maximum anisotropy ratio"]
    pub maxAnisotropy: ::std::os::raw::c_uint,
    #[doc = "< Mipmap filter mode"]
    pub mipmapFilterMode: CUfilter_mode,
    #[doc = "< Mipmap level bias"]
    pub mipmapLevelBias: f32,
    #[doc = "< Mipmap minimum level clamp"]
    pub minMipmapLevelClamp: f32,
    #[doc = "< Mipmap maximum level clamp"]
    pub maxMipmapLevelClamp: f32,
    #[doc = "< Border Color"]
    pub borderColor: [f32; 4usize],
    pub reserved: [::std::os::raw::c_int; 12usize],
}
#[doc = " Texture descriptor"]
pub type CUDA_TEXTURE_DESC_v1 = CUDA_TEXTURE_DESC_st;
#[doc = " Texture descriptor"]
pub type CUDA_TEXTURE_DESC = CUDA_TEXTURE_DESC_v1;
#[repr(u32)]
#[doc = " Resource view format"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUresourceViewFormat_enum {
    #[doc = "< No resource view format (use underlying resource format)"]
    CU_RES_VIEW_FORMAT_NONE = 0,
    #[doc = "< 1 channel unsigned 8-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_1X8 = 1,
    #[doc = "< 2 channel unsigned 8-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_2X8 = 2,
    #[doc = "< 4 channel unsigned 8-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_4X8 = 3,
    #[doc = "< 1 channel signed 8-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_1X8 = 4,
    #[doc = "< 2 channel signed 8-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_2X8 = 5,
    #[doc = "< 4 channel signed 8-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_4X8 = 6,
    #[doc = "< 1 channel unsigned 16-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_1X16 = 7,
    #[doc = "< 2 channel unsigned 16-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_2X16 = 8,
    #[doc = "< 4 channel unsigned 16-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_4X16 = 9,
    #[doc = "< 1 channel signed 16-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_1X16 = 10,
    #[doc = "< 2 channel signed 16-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_2X16 = 11,
    #[doc = "< 4 channel signed 16-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_4X16 = 12,
    #[doc = "< 1 channel unsigned 32-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_1X32 = 13,
    #[doc = "< 2 channel unsigned 32-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_2X32 = 14,
    #[doc = "< 4 channel unsigned 32-bit integers"]
    CU_RES_VIEW_FORMAT_UINT_4X32 = 15,
    #[doc = "< 1 channel signed 32-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_1X32 = 16,
    #[doc = "< 2 channel signed 32-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_2X32 = 17,
    #[doc = "< 4 channel signed 32-bit integers"]
    CU_RES_VIEW_FORMAT_SINT_4X32 = 18,
    #[doc = "< 1 channel 16-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_1X16 = 19,
    #[doc = "< 2 channel 16-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_2X16 = 20,
    #[doc = "< 4 channel 16-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_4X16 = 21,
    #[doc = "< 1 channel 32-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_1X32 = 22,
    #[doc = "< 2 channel 32-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_2X32 = 23,
    #[doc = "< 4 channel 32-bit floating point"]
    CU_RES_VIEW_FORMAT_FLOAT_4X32 = 24,
    #[doc = "< Block compressed 1"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC1 = 25,
    #[doc = "< Block compressed 2"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC2 = 26,
    #[doc = "< Block compressed 3"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC3 = 27,
    #[doc = "< Block compressed 4 unsigned"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC4 = 28,
    #[doc = "< Block compressed 4 signed"]
    CU_RES_VIEW_FORMAT_SIGNED_BC4 = 29,
    #[doc = "< Block compressed 5 unsigned"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC5 = 30,
    #[doc = "< Block compressed 5 signed"]
    CU_RES_VIEW_FORMAT_SIGNED_BC5 = 31,
    #[doc = "< Block compressed 6 unsigned half-float"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC6H = 32,
    #[doc = "< Block compressed 6 signed half-float"]
    CU_RES_VIEW_FORMAT_SIGNED_BC6H = 33,
    #[doc = "< Block compressed 7"]
    CU_RES_VIEW_FORMAT_UNSIGNED_BC7 = 34,
}
#[doc = " Resource view format"]
pub use self::CUresourceViewFormat_enum as CUresourceViewFormat;
#[doc = " Resource view descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_RESOURCE_VIEW_DESC_st {
    #[doc = "< Resource view format"]
    pub format: CUresourceViewFormat,
    #[doc = "< Width of the resource view"]
    pub width: usize,
    #[doc = "< Height of the resource view"]
    pub height: usize,
    #[doc = "< Depth of the resource view"]
    pub depth: usize,
    #[doc = "< First defined mipmap level"]
    pub firstMipmapLevel: ::std::os::raw::c_uint,
    #[doc = "< Last defined mipmap level"]
    pub lastMipmapLevel: ::std::os::raw::c_uint,
    #[doc = "< First layer index"]
    pub firstLayer: ::std::os::raw::c_uint,
    #[doc = "< Last layer index"]
    pub lastLayer: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[doc = " Resource view descriptor"]
pub type CUDA_RESOURCE_VIEW_DESC_v1 = CUDA_RESOURCE_VIEW_DESC_st;
#[doc = " Resource view descriptor"]
pub type CUDA_RESOURCE_VIEW_DESC = CUDA_RESOURCE_VIEW_DESC_v1;
#[doc = " Tensor map descriptor. Requires compiler support for aligning to 64 bytes."]
#[repr(C)]
#[repr(align(64))]
#[derive(Debug, Copy, Clone)]
pub struct CUtensorMap_st {
    pub opaque: [cuuint64_t; 16usize],
}
#[doc = " Tensor map descriptor. Requires compiler support for aligning to 64 bytes."]
pub type CUtensorMap = CUtensorMap_st;
#[repr(u32)]
#[doc = " Tensor map data type"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUtensorMapDataType_enum {
    CU_TENSOR_MAP_DATA_TYPE_UINT8 = 0,
    CU_TENSOR_MAP_DATA_TYPE_UINT16 = 1,
    CU_TENSOR_MAP_DATA_TYPE_UINT32 = 2,
    CU_TENSOR_MAP_DATA_TYPE_INT32 = 3,
    CU_TENSOR_MAP_DATA_TYPE_UINT64 = 4,
    CU_TENSOR_MAP_DATA_TYPE_INT64 = 5,
    CU_TENSOR_MAP_DATA_TYPE_FLOAT16 = 6,
    CU_TENSOR_MAP_DATA_TYPE_FLOAT32 = 7,
    CU_TENSOR_MAP_DATA_TYPE_FLOAT64 = 8,
    CU_TENSOR_MAP_DATA_TYPE_BFLOAT16 = 9,
    CU_TENSOR_MAP_DATA_TYPE_FLOAT32_FTZ = 10,
    CU_TENSOR_MAP_DATA_TYPE_TFLOAT32 = 11,
    CU_TENSOR_MAP_DATA_TYPE_TFLOAT32_FTZ = 12,
}
#[doc = " Tensor map data type"]
pub use self::CUtensorMapDataType_enum as CUtensorMapDataType;
#[repr(u32)]
#[doc = " Tensor map interleave layout type"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUtensorMapInterleave_enum {
    CU_TENSOR_MAP_INTERLEAVE_NONE = 0,
    CU_TENSOR_MAP_INTERLEAVE_16B = 1,
    CU_TENSOR_MAP_INTERLEAVE_32B = 2,
}
#[doc = " Tensor map interleave layout type"]
pub use self::CUtensorMapInterleave_enum as CUtensorMapInterleave;
#[repr(u32)]
#[doc = " Tensor map swizzling mode of shared memory banks"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUtensorMapSwizzle_enum {
    CU_TENSOR_MAP_SWIZZLE_NONE = 0,
    CU_TENSOR_MAP_SWIZZLE_32B = 1,
    CU_TENSOR_MAP_SWIZZLE_64B = 2,
    CU_TENSOR_MAP_SWIZZLE_128B = 3,
}
#[doc = " Tensor map swizzling mode of shared memory banks"]
pub use self::CUtensorMapSwizzle_enum as CUtensorMapSwizzle;
#[repr(u32)]
#[doc = " Tensor map L2 promotion type"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUtensorMapL2promotion_enum {
    CU_TENSOR_MAP_L2_PROMOTION_NONE = 0,
    CU_TENSOR_MAP_L2_PROMOTION_L2_64B = 1,
    CU_TENSOR_MAP_L2_PROMOTION_L2_128B = 2,
    CU_TENSOR_MAP_L2_PROMOTION_L2_256B = 3,
}
#[doc = " Tensor map L2 promotion type"]
pub use self::CUtensorMapL2promotion_enum as CUtensorMapL2promotion;
#[repr(u32)]
#[doc = " Tensor map out-of-bounds fill type"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUtensorMapFloatOOBfill_enum {
    CU_TENSOR_MAP_FLOAT_OOB_FILL_NONE = 0,
    CU_TENSOR_MAP_FLOAT_OOB_FILL_NAN_REQUEST_ZERO_FMA = 1,
}
#[doc = " Tensor map out-of-bounds fill type"]
pub use self::CUtensorMapFloatOOBfill_enum as CUtensorMapFloatOOBfill;
#[doc = " Kernel launch parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_LAUNCH_PARAMS_st {
    #[doc = "< Kernel to launch"]
    pub function: CUfunction,
    #[doc = "< Width of grid in blocks"]
    pub gridDimX: ::std::os::raw::c_uint,
    #[doc = "< Height of grid in blocks"]
    pub gridDimY: ::std::os::raw::c_uint,
    #[doc = "< Depth of grid in blocks"]
    pub gridDimZ: ::std::os::raw::c_uint,
    #[doc = "< X dimension of each thread block"]
    pub blockDimX: ::std::os::raw::c_uint,
    #[doc = "< Y dimension of each thread block"]
    pub blockDimY: ::std::os::raw::c_uint,
    #[doc = "< Z dimension of each thread block"]
    pub blockDimZ: ::std::os::raw::c_uint,
    #[doc = "< Dynamic shared-memory size per thread block in bytes"]
    pub sharedMemBytes: ::std::os::raw::c_uint,
    #[doc = "< Stream identifier"]
    pub hStream: CUstream,
    #[doc = "< Array of pointers to kernel parameters"]
    pub kernelParams: *mut *mut ::std::os::raw::c_void,
}
#[doc = " Kernel launch parameters"]
pub type CUDA_LAUNCH_PARAMS_v1 = CUDA_LAUNCH_PARAMS_st;
#[doc = " Kernel launch parameters"]
pub type CUDA_LAUNCH_PARAMS = CUDA_LAUNCH_PARAMS_v1;
#[repr(u32)]
#[doc = " External memory handle types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUexternalMemoryHandleType_enum {
    #[doc = " Handle is an opaque file descriptor"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD = 1,
    #[doc = " Handle is an opaque shared NT handle"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32 = 2,
    #[doc = " Handle is an opaque, globally shared handle"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32_KMT = 3,
    #[doc = " Handle is a D3D12 heap object"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_HEAP = 4,
    #[doc = " Handle is a D3D12 committed resource"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_RESOURCE = 5,
    #[doc = " Handle is a shared NT handle to a D3D11 resource"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE = 6,
    #[doc = " Handle is a globally shared handle to a D3D11 resource"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT = 7,
    #[doc = " Handle is an NvSciBuf object"]
    CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF = 8,
}
#[doc = " External memory handle types"]
pub use self::CUexternalMemoryHandleType_enum as CUexternalMemoryHandleType;
#[doc = " External memory handle descriptor"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st {
    #[doc = " Type of the handle"]
    pub type_: CUexternalMemoryHandleType,
    pub handle: CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st__bindgen_ty_1,
    #[doc = " Size of the memory allocation"]
    pub size: ::std::os::raw::c_ulonglong,
    #[doc = " Flags must either be zero or ::CUDA_EXTERNAL_MEMORY_DEDICATED"]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st__bindgen_ty_1 {
    #[doc = " File descriptor referencing the memory object. Valid\n when type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD"]
    pub fd: ::std::os::raw::c_int,
    pub win32: CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st__bindgen_ty_1__bindgen_ty_1,
    #[doc = " A handle representing an NvSciBuf Object. Valid when type\n is ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF"]
    pub nvSciBufObject: *const ::std::os::raw::c_void,
}
#[doc = " Win32 handle referencing the semaphore object. Valid when\n type is one of the following:\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32_KMT\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_HEAP\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_RESOURCE\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE\n - ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT\n Exactly one of 'handle' and 'name' must be non-NULL. If\n type is one of the following:\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32_KMT\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT\n then 'name' must be NULL."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st__bindgen_ty_1__bindgen_ty_1 {
    #[doc = " Valid NT handle. Must be NULL if 'name' is non-NULL"]
    pub handle: *mut ::std::os::raw::c_void,
    #[doc = " Name of a valid memory object.\n Must be NULL if 'handle' is non-NULL."]
    pub name: *const ::std::os::raw::c_void,
}
#[doc = " External memory handle descriptor"]
pub type CUDA_EXTERNAL_MEMORY_HANDLE_DESC_v1 = CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st;
#[doc = " External memory handle descriptor"]
pub type CUDA_EXTERNAL_MEMORY_HANDLE_DESC = CUDA_EXTERNAL_MEMORY_HANDLE_DESC_v1;
#[doc = " External memory buffer descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_MEMORY_BUFFER_DESC_st {
    #[doc = " Offset into the memory object where the buffer's base is"]
    pub offset: ::std::os::raw::c_ulonglong,
    #[doc = " Size of the buffer"]
    pub size: ::std::os::raw::c_ulonglong,
    #[doc = " Flags reserved for future use. Must be zero."]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[doc = " External memory buffer descriptor"]
pub type CUDA_EXTERNAL_MEMORY_BUFFER_DESC_v1 = CUDA_EXTERNAL_MEMORY_BUFFER_DESC_st;
#[doc = " External memory buffer descriptor"]
pub type CUDA_EXTERNAL_MEMORY_BUFFER_DESC = CUDA_EXTERNAL_MEMORY_BUFFER_DESC_v1;
#[doc = " External memory mipmap descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_st {
    #[doc = " Offset into the memory object where the base level of the\n mipmap chain is."]
    pub offset: ::std::os::raw::c_ulonglong,
    #[doc = " Format, dimension and type of base level of the mipmap chain"]
    pub arrayDesc: CUDA_ARRAY3D_DESCRIPTOR,
    #[doc = " Total number of levels in the mipmap chain"]
    pub numLevels: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[doc = " External memory mipmap descriptor"]
pub type CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_v1 =
    CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_st;
#[doc = " External memory mipmap descriptor"]
pub type CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC = CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_v1;
#[repr(u32)]
#[doc = " External semaphore handle types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUexternalSemaphoreHandleType_enum {
    #[doc = " Handle is an opaque file descriptor"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD = 1,
    #[doc = " Handle is an opaque shared NT handle"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32 = 2,
    #[doc = " Handle is an opaque, globally shared handle"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT = 3,
    #[doc = " Handle is a shared NT handle referencing a D3D12 fence object"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE = 4,
    #[doc = " Handle is a shared NT handle referencing a D3D11 fence object"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE = 5,
    #[doc = " Opaque handle to NvSciSync Object"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC = 6,
    #[doc = " Handle is a shared NT handle referencing a D3D11 keyed mutex object"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX = 7,
    #[doc = " Handle is a globally shared handle referencing a D3D11 keyed mutex object"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT = 8,
    #[doc = " Handle is an opaque file descriptor referencing a timeline semaphore"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD = 9,
    #[doc = " Handle is an opaque shared NT handle referencing a timeline semaphore"]
    CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32 = 10,
}
#[doc = " External semaphore handle types"]
pub use self::CUexternalSemaphoreHandleType_enum as CUexternalSemaphoreHandleType;
#[doc = " External semaphore handle descriptor"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st {
    #[doc = " Type of the handle"]
    pub type_: CUexternalSemaphoreHandleType,
    pub handle: CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st__bindgen_ty_1,
    #[doc = " Flags reserved for the future. Must be zero."]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st__bindgen_ty_1 {
    #[doc = " File descriptor referencing the semaphore object. Valid\n when type is one of the following:\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD"]
    pub fd: ::std::os::raw::c_int,
    pub win32: CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st__bindgen_ty_1__bindgen_ty_1,
    #[doc = " Valid NvSciSyncObj. Must be non NULL"]
    pub nvSciSyncObj: *const ::std::os::raw::c_void,
}
#[doc = " Win32 handle referencing the semaphore object. Valid when\n type is one of the following:\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32\n Exactly one of 'handle' and 'name' must be non-NULL. If\n type is one of the following:\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT\n - ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT\n then 'name' must be NULL."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st__bindgen_ty_1__bindgen_ty_1 {
    #[doc = " Valid NT handle. Must be NULL if 'name' is non-NULL"]
    pub handle: *mut ::std::os::raw::c_void,
    #[doc = " Name of a valid synchronization primitive.\n Must be NULL if 'handle' is non-NULL."]
    pub name: *const ::std::os::raw::c_void,
}
#[doc = " External semaphore handle descriptor"]
pub type CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_v1 = CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st;
#[doc = " External semaphore handle descriptor"]
pub type CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC = CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_v1;
#[doc = " External semaphore signal parameters"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st {
    pub params: CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1,
    #[doc = " Only when ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS is used to\n signal a ::CUexternalSemaphore of type\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC, the valid flag is\n ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_SKIP_NVSCIBUF_MEMSYNC which indicates\n that while signaling the ::CUexternalSemaphore, no memory synchronization\n operations should be performed for any external memory object imported\n as ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF.\n For all other types of ::CUexternalSemaphore, flags must be zero."]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1 {
    pub fence: CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_1,
    pub nvSciSync: CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_2,
    pub keyedMutex: CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_3,
    pub reserved: [::std::os::raw::c_uint; 12usize],
}
#[doc = " Parameters for fence objects"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_1 {
    #[doc = " Value of fence to be signaled"]
    pub value: ::std::os::raw::c_ulonglong,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_2 {
    #[doc = " Pointer to NvSciSyncFence. Valid if ::CUexternalSemaphoreHandleType\n is of type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC."]
    pub fence: *mut ::std::os::raw::c_void,
    pub reserved: ::std::os::raw::c_ulonglong,
}
#[doc = " Parameters for keyed mutex objects"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st__bindgen_ty_1__bindgen_ty_3 {
    #[doc = " Value of key to release the mutex with"]
    pub key: ::std::os::raw::c_ulonglong,
}
#[doc = " External semaphore signal parameters"]
pub type CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_v1 = CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_st;
#[doc = " External semaphore signal parameters"]
pub type CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS = CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_v1;
#[doc = " External semaphore wait parameters"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st {
    pub params: CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1,
    #[doc = " Only when ::CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS is used to wait on\n a ::CUexternalSemaphore of type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC,\n the valid flag is ::CUDA_EXTERNAL_SEMAPHORE_WAIT_SKIP_NVSCIBUF_MEMSYNC\n which indicates that while waiting for the ::CUexternalSemaphore, no memory\n synchronization operations should be performed for any external memory\n object imported as ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF.\n For all other types of ::CUexternalSemaphore, flags must be zero."]
    pub flags: ::std::os::raw::c_uint,
    pub reserved: [::std::os::raw::c_uint; 16usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1 {
    pub fence: CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_1,
    pub nvSciSync: CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_2,
    pub keyedMutex: CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_3,
    pub reserved: [::std::os::raw::c_uint; 10usize],
}
#[doc = " Parameters for fence objects"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_1 {
    #[doc = " Value of fence to be waited on"]
    pub value: ::std::os::raw::c_ulonglong,
}
#[doc = " Pointer to NvSciSyncFence. Valid if CUexternalSemaphoreHandleType\n is of type CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC."]
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_2 {
    pub fence: *mut ::std::os::raw::c_void,
    pub reserved: ::std::os::raw::c_ulonglong,
}
#[doc = " Parameters for keyed mutex objects"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st__bindgen_ty_1__bindgen_ty_3 {
    #[doc = " Value of key to acquire the mutex with"]
    pub key: ::std::os::raw::c_ulonglong,
    #[doc = " Timeout in milliseconds to wait to acquire the mutex"]
    pub timeoutMs: ::std::os::raw::c_uint,
}
#[doc = " External semaphore wait parameters"]
pub type CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_v1 = CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_st;
#[doc = " External semaphore wait parameters"]
pub type CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS = CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_v1;
#[doc = " Semaphore signal node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_st {
    #[doc = "< Array of external semaphore handles."]
    pub extSemArray: *mut CUexternalSemaphore,
    #[doc = "< Array of external semaphore signal parameters."]
    pub paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS,
    #[doc = "< Number of handles and parameters supplied in extSemArray and paramsArray."]
    pub numExtSems: ::std::os::raw::c_uint,
}
#[doc = " Semaphore signal node parameters"]
pub type CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v1 = CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_st;
#[doc = " Semaphore signal node parameters"]
pub type CUDA_EXT_SEM_SIGNAL_NODE_PARAMS = CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v1;
#[doc = " Semaphore wait node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_EXT_SEM_WAIT_NODE_PARAMS_st {
    #[doc = "< Array of external semaphore handles."]
    pub extSemArray: *mut CUexternalSemaphore,
    #[doc = "< Array of external semaphore wait parameters."]
    pub paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS,
    #[doc = "< Number of handles and parameters supplied in extSemArray and paramsArray."]
    pub numExtSems: ::std::os::raw::c_uint,
}
#[doc = " Semaphore wait node parameters"]
pub type CUDA_EXT_SEM_WAIT_NODE_PARAMS_v1 = CUDA_EXT_SEM_WAIT_NODE_PARAMS_st;
#[doc = " Semaphore wait node parameters"]
pub type CUDA_EXT_SEM_WAIT_NODE_PARAMS = CUDA_EXT_SEM_WAIT_NODE_PARAMS_v1;
pub type CUmemGenericAllocationHandle_v1 = ::std::os::raw::c_ulonglong;
pub type CUmemGenericAllocationHandle = CUmemGenericAllocationHandle_v1;
#[repr(u32)]
#[doc = " Flags for specifying particular handle types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemAllocationHandleType_enum {
    #[doc = "< Does not allow any export mechanism. >"]
    CU_MEM_HANDLE_TYPE_NONE = 0,
    #[doc = "< Allows a file descriptor to be used for exporting. Permitted only on POSIX systems. (int)"]
    CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR = 1,
    #[doc = "< Allows a Win32 NT handle to be used for exporting. (HANDLE)"]
    CU_MEM_HANDLE_TYPE_WIN32 = 2,
    #[doc = "< Allows a Win32 KMT handle to be used for exporting. (D3DKMT_HANDLE)"]
    CU_MEM_HANDLE_TYPE_WIN32_KMT = 4,
    CU_MEM_HANDLE_TYPE_MAX = 2147483647,
}
#[doc = " Flags for specifying particular handle types"]
pub use self::CUmemAllocationHandleType_enum as CUmemAllocationHandleType;
#[repr(u32)]
#[doc = " Specifies the memory protection flags for mapping."]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemAccess_flags_enum {
    #[doc = "< Default, make the address range not accessible"]
    CU_MEM_ACCESS_FLAGS_PROT_NONE = 0,
    #[doc = "< Make the address range read accessible"]
    CU_MEM_ACCESS_FLAGS_PROT_READ = 1,
    #[doc = "< Make the address range read-write accessible"]
    CU_MEM_ACCESS_FLAGS_PROT_READWRITE = 3,
    CU_MEM_ACCESS_FLAGS_PROT_MAX = 2147483647,
}
#[doc = " Specifies the memory protection flags for mapping."]
pub use self::CUmemAccess_flags_enum as CUmemAccess_flags;
#[repr(u32)]
#[doc = " Specifies the type of location"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemLocationType_enum {
    CU_MEM_LOCATION_TYPE_INVALID = 0,
    #[doc = "< Location is a device location, thus id is a device ordinal"]
    CU_MEM_LOCATION_TYPE_DEVICE = 1,
    CU_MEM_LOCATION_TYPE_MAX = 2147483647,
}
#[doc = " Specifies the type of location"]
pub use self::CUmemLocationType_enum as CUmemLocationType;
#[repr(u32)]
#[doc = " Defines the allocation types available"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemAllocationType_enum {
    CU_MEM_ALLOCATION_TYPE_INVALID = 0,
    #[doc = " This allocation type is 'pinned', i.e. cannot migrate from its current\n location while the application is actively using it"]
    CU_MEM_ALLOCATION_TYPE_PINNED = 1,
    #[doc = " This allocation type is 'pinned', i.e. cannot migrate from its current\n location while the application is actively using it"]
    CU_MEM_ALLOCATION_TYPE_MAX = 2147483647,
}
#[doc = " Defines the allocation types available"]
pub use self::CUmemAllocationType_enum as CUmemAllocationType;
#[repr(u32)]
#[doc = " Flag for requesting different optimal and required granularities for an allocation."]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemAllocationGranularity_flags_enum {
    #[doc = "< Minimum required granularity for allocation"]
    CU_MEM_ALLOC_GRANULARITY_MINIMUM = 0,
    #[doc = "< Recommended granularity for allocation for best performance"]
    CU_MEM_ALLOC_GRANULARITY_RECOMMENDED = 1,
}
#[doc = " Flag for requesting different optimal and required granularities for an allocation."]
pub use self::CUmemAllocationGranularity_flags_enum as CUmemAllocationGranularity_flags;
#[repr(u32)]
#[doc = " Specifies the handle type for address range"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemRangeHandleType_enum {
    CU_MEM_RANGE_HANDLE_TYPE_DMA_BUF_FD = 1,
    CU_MEM_RANGE_HANDLE_TYPE_MAX = 2147483647,
}
#[doc = " Specifies the handle type for address range"]
pub use self::CUmemRangeHandleType_enum as CUmemRangeHandleType;
#[repr(u32)]
#[doc = " Sparse subresource types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUarraySparseSubresourceType_enum {
    CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_SPARSE_LEVEL = 0,
    CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_MIPTAIL = 1,
}
#[doc = " Sparse subresource types"]
pub use self::CUarraySparseSubresourceType_enum as CUarraySparseSubresourceType;
#[repr(u32)]
#[doc = " Memory operation types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemOperationType_enum {
    CU_MEM_OPERATION_TYPE_MAP = 1,
    CU_MEM_OPERATION_TYPE_UNMAP = 2,
}
#[doc = " Memory operation types"]
pub use self::CUmemOperationType_enum as CUmemOperationType;
#[repr(u32)]
#[doc = " Memory handle types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemHandleType_enum {
    CU_MEM_HANDLE_TYPE_GENERIC = 0,
}
#[doc = " Memory handle types"]
pub use self::CUmemHandleType_enum as CUmemHandleType;
#[doc = " Specifies the CUDA array or CUDA mipmapped array memory mapping information"]
#[repr(C)]
#[derive(Copy, Clone)]
pub struct CUarrayMapInfo_st {
    #[doc = "< Resource type"]
    pub resourceType: CUresourcetype,
    pub resource: CUarrayMapInfo_st__bindgen_ty_1,
    #[doc = "< Sparse subresource type"]
    pub subresourceType: CUarraySparseSubresourceType,
    pub subresource: CUarrayMapInfo_st__bindgen_ty_2,
    #[doc = "< Memory operation type"]
    pub memOperationType: CUmemOperationType,
    #[doc = "< Memory handle type"]
    pub memHandleType: CUmemHandleType,
    pub memHandle: CUarrayMapInfo_st__bindgen_ty_3,
    #[doc = "< Offset within the memory"]
    pub offset: ::std::os::raw::c_ulonglong,
    #[doc = "< Device ordinal bit mask"]
    pub deviceBitMask: ::std::os::raw::c_uint,
    #[doc = "< flags for future use, must be zero now."]
    pub flags: ::std::os::raw::c_uint,
    #[doc = "< Reserved for future use, must be zero now."]
    pub reserved: [::std::os::raw::c_uint; 2usize],
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUarrayMapInfo_st__bindgen_ty_1 {
    pub mipmap: CUmipmappedArray,
    pub array: CUarray,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUarrayMapInfo_st__bindgen_ty_2 {
    pub sparseLevel: CUarrayMapInfo_st__bindgen_ty_2__bindgen_ty_1,
    pub miptail: CUarrayMapInfo_st__bindgen_ty_2__bindgen_ty_2,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUarrayMapInfo_st__bindgen_ty_2__bindgen_ty_1 {
    #[doc = "< For CUDA mipmapped arrays must a valid mipmap level. For CUDA arrays must be zero"]
    pub level: ::std::os::raw::c_uint,
    #[doc = "< For CUDA layered arrays must be a valid layer index. Otherwise, must be zero"]
    pub layer: ::std::os::raw::c_uint,
    #[doc = "< Starting X offset in elements"]
    pub offsetX: ::std::os::raw::c_uint,
    #[doc = "< Starting Y offset in elements"]
    pub offsetY: ::std::os::raw::c_uint,
    #[doc = "< Starting Z offset in elements"]
    pub offsetZ: ::std::os::raw::c_uint,
    #[doc = "< Width in elements"]
    pub extentWidth: ::std::os::raw::c_uint,
    #[doc = "< Height in elements"]
    pub extentHeight: ::std::os::raw::c_uint,
    #[doc = "< Depth in elements"]
    pub extentDepth: ::std::os::raw::c_uint,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUarrayMapInfo_st__bindgen_ty_2__bindgen_ty_2 {
    #[doc = "< For CUDA layered arrays must be a valid layer index. Otherwise, must be zero"]
    pub layer: ::std::os::raw::c_uint,
    #[doc = "< Offset within mip tail"]
    pub offset: ::std::os::raw::c_ulonglong,
    #[doc = "< Extent in bytes"]
    pub size: ::std::os::raw::c_ulonglong,
}
#[repr(C)]
#[derive(Copy, Clone)]
pub union CUarrayMapInfo_st__bindgen_ty_3 {
    pub memHandle: CUmemGenericAllocationHandle,
}
#[doc = " Specifies the CUDA array or CUDA mipmapped array memory mapping information"]
pub type CUarrayMapInfo_v1 = CUarrayMapInfo_st;
#[doc = " Specifies the CUDA array or CUDA mipmapped array memory mapping information"]
pub type CUarrayMapInfo = CUarrayMapInfo_v1;
#[doc = " Specifies a memory location."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemLocation_st {
    #[doc = "< Specifies the location type, which modifies the meaning of id."]
    pub type_: CUmemLocationType,
    #[doc = "< identifier for a given this location's ::CUmemLocationType."]
    pub id: ::std::os::raw::c_int,
}
#[doc = " Specifies a memory location."]
pub type CUmemLocation_v1 = CUmemLocation_st;
#[doc = " Specifies a memory location."]
pub type CUmemLocation = CUmemLocation_v1;
#[doc = " Specifies the allocation properties for a allocation."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemAllocationProp_st {
    #[doc = " Allocation type"]
    pub type_: CUmemAllocationType,
    #[doc = " requested ::CUmemAllocationHandleType"]
    pub requestedHandleTypes: CUmemAllocationHandleType,
    #[doc = " Location of allocation"]
    pub location: CUmemLocation,
    #[doc = " Windows-specific POBJECT_ATTRIBUTES required when\n ::CU_MEM_HANDLE_TYPE_WIN32 is specified.  This object atributes structure\n includes security attributes that define\n the scope of which exported allocations may be tranferred to other\n processes.  In all other cases, this field is required to be zero."]
    pub win32HandleMetaData: *mut ::std::os::raw::c_void,
    pub allocFlags: CUmemAllocationProp_st__bindgen_ty_1,
}
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemAllocationProp_st__bindgen_ty_1 {
    #[doc = " Allocation hint for requesting compressible memory.\n On devices that support Compute Data Compression, compressible\n memory can be used to accelerate accesses to data with unstructured\n sparsity and other compressible data patterns. Applications are\n expected to query allocation property of the handle obtained with\n ::cuMemCreate using ::cuMemGetAllocationPropertiesFromHandle to\n validate if the obtained allocation is compressible or not. Note that\n compressed memory may not be mappable on all devices."]
    pub compressionType: ::std::os::raw::c_uchar,
    pub gpuDirectRDMACapable: ::std::os::raw::c_uchar,
    #[doc = " Bitmask indicating intended usage for this allocation"]
    pub usage: ::std::os::raw::c_ushort,
    pub reserved: [::std::os::raw::c_uchar; 4usize],
}
#[doc = " Specifies the allocation properties for a allocation."]
pub type CUmemAllocationProp_v1 = CUmemAllocationProp_st;
#[doc = " Specifies the allocation properties for a allocation."]
pub type CUmemAllocationProp = CUmemAllocationProp_v1;
#[doc = " Memory access descriptor"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemAccessDesc_st {
    #[doc = "< Location on which the request is to change it's accessibility"]
    pub location: CUmemLocation,
    #[doc = "< ::CUmemProt accessibility flags to set on the request"]
    pub flags: CUmemAccess_flags,
}
#[doc = " Memory access descriptor"]
pub type CUmemAccessDesc_v1 = CUmemAccessDesc_st;
#[doc = " Memory access descriptor"]
pub type CUmemAccessDesc = CUmemAccessDesc_v1;
#[repr(u32)]
#[doc = " CUDA Graph Update error types"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUgraphExecUpdateResult_enum {
    #[doc = "< The update succeeded"]
    CU_GRAPH_EXEC_UPDATE_SUCCESS = 0,
    #[doc = "< The update failed for an unexpected reason which is described in the return value of the function"]
    CU_GRAPH_EXEC_UPDATE_ERROR = 1,
    #[doc = "< The update failed because the topology changed"]
    CU_GRAPH_EXEC_UPDATE_ERROR_TOPOLOGY_CHANGED = 2,
    #[doc = "< The update failed because a node type changed"]
    CU_GRAPH_EXEC_UPDATE_ERROR_NODE_TYPE_CHANGED = 3,
    #[doc = "< The update failed because the function of a kernel node changed (CUDA driver < 11.2)"]
    CU_GRAPH_EXEC_UPDATE_ERROR_FUNCTION_CHANGED = 4,
    #[doc = "< The update failed because the parameters changed in a way that is not supported"]
    CU_GRAPH_EXEC_UPDATE_ERROR_PARAMETERS_CHANGED = 5,
    #[doc = "< The update failed because something about the node is not supported"]
    CU_GRAPH_EXEC_UPDATE_ERROR_NOT_SUPPORTED = 6,
    #[doc = "< The update failed because the function of a kernel node changed in an unsupported way"]
    CU_GRAPH_EXEC_UPDATE_ERROR_UNSUPPORTED_FUNCTION_CHANGE = 7,
    #[doc = "< The update failed because the node attributes changed in a way that is not supported"]
    CU_GRAPH_EXEC_UPDATE_ERROR_ATTRIBUTES_CHANGED = 8,
}
#[doc = " CUDA Graph Update error types"]
pub use self::CUgraphExecUpdateResult_enum as CUgraphExecUpdateResult;
#[doc = " Result information returned by cuGraphExecUpdate"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUgraphExecUpdateResultInfo_st {
    #[doc = " Gives more specific detail when a cuda graph update fails."]
    pub result: CUgraphExecUpdateResult,
    #[doc = " The \"to node\" of the error edge when the topologies do not match.\n The error node when the error is associated with a specific node.\n NULL when the error is generic."]
    pub errorNode: CUgraphNode,
    #[doc = " The from node of error edge when the topologies do not match. Otherwise NULL."]
    pub errorFromNode: CUgraphNode,
}
#[doc = " Result information returned by cuGraphExecUpdate"]
pub type CUgraphExecUpdateResultInfo_v1 = CUgraphExecUpdateResultInfo_st;
#[doc = " Result information returned by cuGraphExecUpdate"]
pub type CUgraphExecUpdateResultInfo = CUgraphExecUpdateResultInfo_v1;
#[repr(u32)]
#[doc = " CUDA memory pool attributes"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmemPool_attribute_enum {
    #[doc = " (value type = int)\n Allow cuMemAllocAsync to use memory asynchronously freed\n in another streams as long as a stream ordering dependency\n of the allocating stream on the free action exists.\n Cuda events and null stream interactions can create the required\n stream ordered dependencies. (default enabled)"]
    CU_MEMPOOL_ATTR_REUSE_FOLLOW_EVENT_DEPENDENCIES = 1,
    #[doc = " (value type = int)\n Allow reuse of already completed frees when there is no dependency\n between the free and allocation. (default enabled)"]
    CU_MEMPOOL_ATTR_REUSE_ALLOW_OPPORTUNISTIC = 2,
    #[doc = " (value type = int)\n Allow cuMemAllocAsync to insert new stream dependencies\n in order to establish the stream ordering required to reuse\n a piece of memory released by cuFreeAsync (default enabled)."]
    CU_MEMPOOL_ATTR_REUSE_ALLOW_INTERNAL_DEPENDENCIES = 3,
    #[doc = " (value type = cuuint64_t)\n Amount of reserved memory in bytes to hold onto before trying\n to release memory back to the OS. When more than the release\n threshold bytes of memory are held by the memory pool, the\n allocator will try to release memory back to the OS on the\n next call to stream, event or context synchronize. (default 0)"]
    CU_MEMPOOL_ATTR_RELEASE_THRESHOLD = 4,
    #[doc = " (value type = cuuint64_t)\n Amount of backing memory currently allocated for the mempool."]
    CU_MEMPOOL_ATTR_RESERVED_MEM_CURRENT = 5,
    #[doc = " (value type = cuuint64_t)\n High watermark of backing memory allocated for the mempool since the\n last time it was reset. High watermark can only be reset to zero."]
    CU_MEMPOOL_ATTR_RESERVED_MEM_HIGH = 6,
    #[doc = " (value type = cuuint64_t)\n Amount of memory from the pool that is currently in use by the application."]
    CU_MEMPOOL_ATTR_USED_MEM_CURRENT = 7,
    #[doc = " (value type = cuuint64_t)\n High watermark of the amount of memory from the pool that was in use by the application since\n the last time it was reset. High watermark can only be reset to zero."]
    CU_MEMPOOL_ATTR_USED_MEM_HIGH = 8,
}
#[doc = " CUDA memory pool attributes"]
pub use self::CUmemPool_attribute_enum as CUmemPool_attribute;
#[doc = " Specifies the properties of allocations made from the pool."]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemPoolProps_st {
    #[doc = "< Allocation type. Currently must be specified as CU_MEM_ALLOCATION_TYPE_PINNED"]
    pub allocType: CUmemAllocationType,
    #[doc = "< Handle types that will be supported by allocations from the pool."]
    pub handleTypes: CUmemAllocationHandleType,
    #[doc = "< Location where allocations should reside."]
    pub location: CUmemLocation,
    #[doc = " Windows-specific LPSECURITYATTRIBUTES required when\n ::CU_MEM_HANDLE_TYPE_WIN32 is specified.  This security attribute defines\n the scope of which exported allocations may be tranferred to other\n processes.  In all other cases, this field is required to be zero."]
    pub win32SecurityAttributes: *mut ::std::os::raw::c_void,
    #[doc = "< reserved for future use, must be 0"]
    pub reserved: [::std::os::raw::c_uchar; 64usize],
}
#[doc = " Specifies the properties of allocations made from the pool."]
pub type CUmemPoolProps_v1 = CUmemPoolProps_st;
#[doc = " Specifies the properties of allocations made from the pool."]
pub type CUmemPoolProps = CUmemPoolProps_v1;
#[doc = " Opaque data for exporting a pool allocation"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUmemPoolPtrExportData_st {
    pub reserved: [::std::os::raw::c_uchar; 64usize],
}
#[doc = " Opaque data for exporting a pool allocation"]
pub type CUmemPoolPtrExportData_v1 = CUmemPoolPtrExportData_st;
#[doc = " Opaque data for exporting a pool allocation"]
pub type CUmemPoolPtrExportData = CUmemPoolPtrExportData_v1;
#[doc = " Memory allocation node parameters"]
#[repr(C)]
#[derive(Debug, Copy, Clone)]
pub struct CUDA_MEM_ALLOC_NODE_PARAMS_st {
    #[doc = " in: location where the allocation should reside (specified in ::location).\n ::handleTypes must be ::CU_MEM_HANDLE_TYPE_NONE. IPC is not supported."]
    pub poolProps: CUmemPoolProps,
    #[doc = "< in: array of memory access descriptors. Used to describe peer GPU access"]
    pub accessDescs: *const CUmemAccessDesc,
    #[doc = "< in: number of memory access descriptors.  Must not exceed the number of GPUs."]
    pub accessDescCount: usize,
    #[doc = "< in: size in bytes of the requested allocation"]
    pub bytesize: usize,
    #[doc = "< out: address of the allocation returned by CUDA"]
    pub dptr: CUdeviceptr,
}
#[doc = " Memory allocation node parameters"]
pub type CUDA_MEM_ALLOC_NODE_PARAMS = CUDA_MEM_ALLOC_NODE_PARAMS_st;
#[repr(u32)]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUgraphMem_attribute_enum {
    #[doc = " (value type = cuuint64_t)\n Amount of memory, in bytes, currently associated with graphs"]
    CU_GRAPH_MEM_ATTR_USED_MEM_CURRENT = 0,
    #[doc = " (value type = cuuint64_t)\n High watermark of memory, in bytes, associated with graphs since the\n last time it was reset.  High watermark can only be reset to zero."]
    CU_GRAPH_MEM_ATTR_USED_MEM_HIGH = 1,
    #[doc = " (value type = cuuint64_t)\n Amount of memory, in bytes, currently allocated for use by\n the CUDA graphs asynchronous allocator."]
    CU_GRAPH_MEM_ATTR_RESERVED_MEM_CURRENT = 2,
    #[doc = " (value type = cuuint64_t)\n High watermark of memory, in bytes, currently allocated for use by\n the CUDA graphs asynchronous allocator."]
    CU_GRAPH_MEM_ATTR_RESERVED_MEM_HIGH = 3,
}
pub use self::CUgraphMem_attribute_enum as CUgraphMem_attribute;
#[repr(u32)]
#[doc = " The scopes for ::cuFlushGPUDirectRDMAWrites"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUflushGPUDirectRDMAWritesScope_enum {
    #[doc = "< Blocks until remote writes are visible to the CUDA device context owning the data."]
    CU_FLUSH_GPU_DIRECT_RDMA_WRITES_TO_OWNER = 100,
    #[doc = "< Blocks until remote writes are visible to all CUDA device contexts."]
    CU_FLUSH_GPU_DIRECT_RDMA_WRITES_TO_ALL_DEVICES = 200,
}
#[doc = " The scopes for ::cuFlushGPUDirectRDMAWrites"]
pub use self::CUflushGPUDirectRDMAWritesScope_enum as CUflushGPUDirectRDMAWritesScope;
#[repr(u32)]
#[doc = " The targets for ::cuFlushGPUDirectRDMAWrites"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUflushGPUDirectRDMAWritesTarget_enum {
    #[doc = "< Sets the target for ::cuFlushGPUDirectRDMAWrites() to the currently active CUDA device context."]
    CU_FLUSH_GPU_DIRECT_RDMA_WRITES_TARGET_CURRENT_CTX = 0,
}
#[doc = " The targets for ::cuFlushGPUDirectRDMAWrites"]
pub use self::CUflushGPUDirectRDMAWritesTarget_enum as CUflushGPUDirectRDMAWritesTarget;
#[repr(u32)]
#[doc = " CUDA Lazy Loading status"]
#[derive(Debug, Copy, Clone, Hash, PartialEq, Eq)]
pub enum CUmoduleLoadingMode_enum {
    #[doc = "< Lazy Kernel Loading is not enabled"]
    CU_MODULE_EAGER_LOADING = 1,
    #[doc = "< Lazy Kernel Loading is enabled"]
    CU_MODULE_LAZY_LOADING = 2,
}
#[doc = " CUDA Lazy Loading status"]
pub use self::CUmoduleLoadingMode_enum as CUmoduleLoadingMode;
extern crate libloading;
pub struct cuda {
    __library: ::libloading::Library,
    pub cuGetErrorString: Result<
        unsafe extern "C" fn(error: CUresult, pStr: *mut *const ::std::os::raw::c_char) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGetErrorName: Result<
        unsafe extern "C" fn(error: CUresult, pStr: *mut *const ::std::os::raw::c_char) -> CUresult,
        ::libloading::Error,
    >,
    pub cuInit: Result<
        unsafe extern "C" fn(Flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDriverGetVersion: Result<
        unsafe extern "C" fn(driverVersion: *mut ::std::os::raw::c_int) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGet: Result<
        unsafe extern "C" fn(device: *mut CUdevice, ordinal: ::std::os::raw::c_int) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetCount: Result<
        unsafe extern "C" fn(count: *mut ::std::os::raw::c_int) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetName: Result<
        unsafe extern "C" fn(
            name: *mut ::std::os::raw::c_char,
            len: ::std::os::raw::c_int,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetUuid: Result<
        unsafe extern "C" fn(uuid: *mut CUuuid, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetUuid_v2: Result<
        unsafe extern "C" fn(uuid: *mut CUuuid, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetLuid: Result<
        unsafe extern "C" fn(
            luid: *mut ::std::os::raw::c_char,
            deviceNodeMask: *mut ::std::os::raw::c_uint,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceTotalMem_v2: Result<
        unsafe extern "C" fn(bytes: *mut usize, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetTexture1DLinearMaxWidth: Result<
        unsafe extern "C" fn(
            maxWidthInElements: *mut usize,
            format: CUarray_format,
            numChannels: ::std::os::raw::c_uint,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetAttribute: Result<
        unsafe extern "C" fn(
            pi: *mut ::std::os::raw::c_int,
            attrib: CUdevice_attribute,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetNvSciSyncAttributes: Result<
        unsafe extern "C" fn(
            nvSciSyncAttrList: *mut ::std::os::raw::c_void,
            dev: CUdevice,
            flags: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceSetMemPool: Result<
        unsafe extern "C" fn(dev: CUdevice, pool: CUmemoryPool) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetMemPool: Result<
        unsafe extern "C" fn(pool: *mut CUmemoryPool, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetDefaultMemPool: Result<
        unsafe extern "C" fn(pool_out: *mut CUmemoryPool, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetExecAffinitySupport: Result<
        unsafe extern "C" fn(
            pi: *mut ::std::os::raw::c_int,
            type_: CUexecAffinityType,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFlushGPUDirectRDMAWrites: Result<
        unsafe extern "C" fn(
            target: CUflushGPUDirectRDMAWritesTarget,
            scope: CUflushGPUDirectRDMAWritesScope,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetProperties: Result<
        unsafe extern "C" fn(prop: *mut CUdevprop, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceComputeCapability: Result<
        unsafe extern "C" fn(
            major: *mut ::std::os::raw::c_int,
            minor: *mut ::std::os::raw::c_int,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDevicePrimaryCtxRetain: Result<
        unsafe extern "C" fn(pctx: *mut CUcontext, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDevicePrimaryCtxRelease_v2:
        Result<unsafe extern "C" fn(dev: CUdevice) -> CUresult, ::libloading::Error>,
    pub cuDevicePrimaryCtxSetFlags_v2: Result<
        unsafe extern "C" fn(dev: CUdevice, flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDevicePrimaryCtxGetState: Result<
        unsafe extern "C" fn(
            dev: CUdevice,
            flags: *mut ::std::os::raw::c_uint,
            active: *mut ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDevicePrimaryCtxReset_v2:
        Result<unsafe extern "C" fn(dev: CUdevice) -> CUresult, ::libloading::Error>,
    pub cuCtxCreate_v2: Result<
        unsafe extern "C" fn(
            pctx: *mut CUcontext,
            flags: ::std::os::raw::c_uint,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxCreate_v3: Result<
        unsafe extern "C" fn(
            pctx: *mut CUcontext,
            paramsArray: *mut CUexecAffinityParam,
            numParams: ::std::os::raw::c_int,
            flags: ::std::os::raw::c_uint,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxDestroy_v2:
        Result<unsafe extern "C" fn(ctx: CUcontext) -> CUresult, ::libloading::Error>,
    pub cuCtxPushCurrent_v2:
        Result<unsafe extern "C" fn(ctx: CUcontext) -> CUresult, ::libloading::Error>,
    pub cuCtxPopCurrent_v2:
        Result<unsafe extern "C" fn(pctx: *mut CUcontext) -> CUresult, ::libloading::Error>,
    pub cuCtxSetCurrent:
        Result<unsafe extern "C" fn(ctx: CUcontext) -> CUresult, ::libloading::Error>,
    pub cuCtxGetCurrent:
        Result<unsafe extern "C" fn(pctx: *mut CUcontext) -> CUresult, ::libloading::Error>,
    pub cuCtxGetDevice:
        Result<unsafe extern "C" fn(device: *mut CUdevice) -> CUresult, ::libloading::Error>,
    pub cuCtxGetFlags: Result<
        unsafe extern "C" fn(flags: *mut ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxGetId: Result<
        unsafe extern "C" fn(ctx: CUcontext, ctxId: *mut ::std::os::raw::c_ulonglong) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxSynchronize: Result<unsafe extern "C" fn() -> CUresult, ::libloading::Error>,
    pub cuCtxSetLimit:
        Result<unsafe extern "C" fn(limit: CUlimit, value: usize) -> CUresult, ::libloading::Error>,
    pub cuCtxGetLimit: Result<
        unsafe extern "C" fn(pvalue: *mut usize, limit: CUlimit) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxGetCacheConfig:
        Result<unsafe extern "C" fn(pconfig: *mut CUfunc_cache) -> CUresult, ::libloading::Error>,
    pub cuCtxSetCacheConfig:
        Result<unsafe extern "C" fn(config: CUfunc_cache) -> CUresult, ::libloading::Error>,
    pub cuCtxGetSharedMemConfig:
        Result<unsafe extern "C" fn(pConfig: *mut CUsharedconfig) -> CUresult, ::libloading::Error>,
    pub cuCtxSetSharedMemConfig:
        Result<unsafe extern "C" fn(config: CUsharedconfig) -> CUresult, ::libloading::Error>,
    pub cuCtxGetApiVersion: Result<
        unsafe extern "C" fn(ctx: CUcontext, version: *mut ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxGetStreamPriorityRange: Result<
        unsafe extern "C" fn(
            leastPriority: *mut ::std::os::raw::c_int,
            greatestPriority: *mut ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxResetPersistingL2Cache:
        Result<unsafe extern "C" fn() -> CUresult, ::libloading::Error>,
    pub cuCtxGetExecAffinity: Result<
        unsafe extern "C" fn(
            pExecAffinity: *mut CUexecAffinityParam,
            type_: CUexecAffinityType,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxAttach: Result<
        unsafe extern "C" fn(pctx: *mut CUcontext, flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxDetach: Result<unsafe extern "C" fn(ctx: CUcontext) -> CUresult, ::libloading::Error>,
    pub cuModuleLoad: Result<
        unsafe extern "C" fn(
            module: *mut CUmodule,
            fname: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleLoadData: Result<
        unsafe extern "C" fn(
            module: *mut CUmodule,
            image: *const ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleLoadDataEx: Result<
        unsafe extern "C" fn(
            module: *mut CUmodule,
            image: *const ::std::os::raw::c_void,
            numOptions: ::std::os::raw::c_uint,
            options: *mut CUjit_option,
            optionValues: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleLoadFatBinary: Result<
        unsafe extern "C" fn(
            module: *mut CUmodule,
            fatCubin: *const ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleUnload:
        Result<unsafe extern "C" fn(hmod: CUmodule) -> CUresult, ::libloading::Error>,
    pub cuModuleGetLoadingMode: Result<
        unsafe extern "C" fn(mode: *mut CUmoduleLoadingMode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleGetFunction: Result<
        unsafe extern "C" fn(
            hfunc: *mut CUfunction,
            hmod: CUmodule,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleGetGlobal_v2: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytes: *mut usize,
            hmod: CUmodule,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLinkCreate_v2: Result<
        unsafe extern "C" fn(
            numOptions: ::std::os::raw::c_uint,
            options: *mut CUjit_option,
            optionValues: *mut *mut ::std::os::raw::c_void,
            stateOut: *mut CUlinkState,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLinkAddData_v2: Result<
        unsafe extern "C" fn(
            state: CUlinkState,
            type_: CUjitInputType,
            data: *mut ::std::os::raw::c_void,
            size: usize,
            name: *const ::std::os::raw::c_char,
            numOptions: ::std::os::raw::c_uint,
            options: *mut CUjit_option,
            optionValues: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLinkAddFile_v2: Result<
        unsafe extern "C" fn(
            state: CUlinkState,
            type_: CUjitInputType,
            path: *const ::std::os::raw::c_char,
            numOptions: ::std::os::raw::c_uint,
            options: *mut CUjit_option,
            optionValues: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLinkComplete: Result<
        unsafe extern "C" fn(
            state: CUlinkState,
            cubinOut: *mut *mut ::std::os::raw::c_void,
            sizeOut: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLinkDestroy:
        Result<unsafe extern "C" fn(state: CUlinkState) -> CUresult, ::libloading::Error>,
    pub cuModuleGetTexRef: Result<
        unsafe extern "C" fn(
            pTexRef: *mut CUtexref,
            hmod: CUmodule,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuModuleGetSurfRef: Result<
        unsafe extern "C" fn(
            pSurfRef: *mut CUsurfref,
            hmod: CUmodule,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryLoadData: Result<
        unsafe extern "C" fn(
            library: *mut CUlibrary,
            code: *const ::std::os::raw::c_void,
            jitOptions: *mut CUjit_option,
            jitOptionsValues: *mut *mut ::std::os::raw::c_void,
            numJitOptions: ::std::os::raw::c_uint,
            libraryOptions: *mut CUlibraryOption,
            libraryOptionValues: *mut *mut ::std::os::raw::c_void,
            numLibraryOptions: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryLoadFromFile: Result<
        unsafe extern "C" fn(
            library: *mut CUlibrary,
            fileName: *const ::std::os::raw::c_char,
            jitOptions: *mut CUjit_option,
            jitOptionsValues: *mut *mut ::std::os::raw::c_void,
            numJitOptions: ::std::os::raw::c_uint,
            libraryOptions: *mut CUlibraryOption,
            libraryOptionValues: *mut *mut ::std::os::raw::c_void,
            numLibraryOptions: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryUnload:
        Result<unsafe extern "C" fn(library: CUlibrary) -> CUresult, ::libloading::Error>,
    pub cuLibraryGetKernel: Result<
        unsafe extern "C" fn(
            pKernel: *mut CUkernel,
            library: CUlibrary,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryGetModule: Result<
        unsafe extern "C" fn(pMod: *mut CUmodule, library: CUlibrary) -> CUresult,
        ::libloading::Error,
    >,
    pub cuKernelGetFunction: Result<
        unsafe extern "C" fn(pFunc: *mut CUfunction, kernel: CUkernel) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryGetGlobal: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytes: *mut usize,
            library: CUlibrary,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryGetManaged: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytes: *mut usize,
            library: CUlibrary,
            name: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLibraryGetUnifiedFunction: Result<
        unsafe extern "C" fn(
            fptr: *mut *mut ::std::os::raw::c_void,
            library: CUlibrary,
            symbol: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuKernelGetAttribute: Result<
        unsafe extern "C" fn(
            pi: *mut ::std::os::raw::c_int,
            attrib: CUfunction_attribute,
            kernel: CUkernel,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuKernelSetAttribute: Result<
        unsafe extern "C" fn(
            attrib: CUfunction_attribute,
            val: ::std::os::raw::c_int,
            kernel: CUkernel,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuKernelSetCacheConfig: Result<
        unsafe extern "C" fn(kernel: CUkernel, config: CUfunc_cache, dev: CUdevice) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemGetInfo_v2: Result<
        unsafe extern "C" fn(free: *mut usize, total: *mut usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAlloc_v2: Result<
        unsafe extern "C" fn(dptr: *mut CUdeviceptr, bytesize: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAllocPitch_v2: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            pPitch: *mut usize,
            WidthInBytes: usize,
            Height: usize,
            ElementSizeBytes: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemFree_v2:
        Result<unsafe extern "C" fn(dptr: CUdeviceptr) -> CUresult, ::libloading::Error>,
    pub cuMemGetAddressRange_v2: Result<
        unsafe extern "C" fn(
            pbase: *mut CUdeviceptr,
            psize: *mut usize,
            dptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAllocHost_v2: Result<
        unsafe extern "C" fn(pp: *mut *mut ::std::os::raw::c_void, bytesize: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemFreeHost: Result<
        unsafe extern "C" fn(p: *mut ::std::os::raw::c_void) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemHostAlloc: Result<
        unsafe extern "C" fn(
            pp: *mut *mut ::std::os::raw::c_void,
            bytesize: usize,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemHostGetDevicePointer_v2: Result<
        unsafe extern "C" fn(
            pdptr: *mut CUdeviceptr,
            p: *mut ::std::os::raw::c_void,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemHostGetFlags: Result<
        unsafe extern "C" fn(
            pFlags: *mut ::std::os::raw::c_uint,
            p: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAllocManaged: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytesize: usize,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetByPCIBusId: Result<
        unsafe extern "C" fn(
            dev: *mut CUdevice,
            pciBusId: *const ::std::os::raw::c_char,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGetPCIBusId: Result<
        unsafe extern "C" fn(
            pciBusId: *mut ::std::os::raw::c_char,
            len: ::std::os::raw::c_int,
            dev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuIpcGetEventHandle: Result<
        unsafe extern "C" fn(pHandle: *mut CUipcEventHandle, event: CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuIpcOpenEventHandle: Result<
        unsafe extern "C" fn(phEvent: *mut CUevent, handle: CUipcEventHandle) -> CUresult,
        ::libloading::Error,
    >,
    pub cuIpcGetMemHandle: Result<
        unsafe extern "C" fn(pHandle: *mut CUipcMemHandle, dptr: CUdeviceptr) -> CUresult,
        ::libloading::Error,
    >,
    pub cuIpcOpenMemHandle_v2: Result<
        unsafe extern "C" fn(
            pdptr: *mut CUdeviceptr,
            handle: CUipcMemHandle,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuIpcCloseMemHandle:
        Result<unsafe extern "C" fn(dptr: CUdeviceptr) -> CUresult, ::libloading::Error>,
    pub cuMemHostRegister_v2: Result<
        unsafe extern "C" fn(
            p: *mut ::std::os::raw::c_void,
            bytesize: usize,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemHostUnregister: Result<
        unsafe extern "C" fn(p: *mut ::std::os::raw::c_void) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpy: Result<
        unsafe extern "C" fn(dst: CUdeviceptr, src: CUdeviceptr, ByteCount: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyPeer: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstContext: CUcontext,
            srcDevice: CUdeviceptr,
            srcContext: CUcontext,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyHtoD_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            srcHost: *const ::std::os::raw::c_void,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyDtoH_v2: Result<
        unsafe extern "C" fn(
            dstHost: *mut ::std::os::raw::c_void,
            srcDevice: CUdeviceptr,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyDtoD_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            srcDevice: CUdeviceptr,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyDtoA_v2: Result<
        unsafe extern "C" fn(
            dstArray: CUarray,
            dstOffset: usize,
            srcDevice: CUdeviceptr,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyAtoD_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            srcArray: CUarray,
            srcOffset: usize,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyHtoA_v2: Result<
        unsafe extern "C" fn(
            dstArray: CUarray,
            dstOffset: usize,
            srcHost: *const ::std::os::raw::c_void,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyAtoH_v2: Result<
        unsafe extern "C" fn(
            dstHost: *mut ::std::os::raw::c_void,
            srcArray: CUarray,
            srcOffset: usize,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyAtoA_v2: Result<
        unsafe extern "C" fn(
            dstArray: CUarray,
            dstOffset: usize,
            srcArray: CUarray,
            srcOffset: usize,
            ByteCount: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpy2D_v2:
        Result<unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY2D) -> CUresult, ::libloading::Error>,
    pub cuMemcpy2DUnaligned_v2:
        Result<unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY2D) -> CUresult, ::libloading::Error>,
    pub cuMemcpy3D_v2:
        Result<unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY3D) -> CUresult, ::libloading::Error>,
    pub cuMemcpy3DPeer: Result<
        unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY3D_PEER) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyAsync: Result<
        unsafe extern "C" fn(
            dst: CUdeviceptr,
            src: CUdeviceptr,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyPeerAsync: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstContext: CUcontext,
            srcDevice: CUdeviceptr,
            srcContext: CUcontext,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyHtoDAsync_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            srcHost: *const ::std::os::raw::c_void,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyDtoHAsync_v2: Result<
        unsafe extern "C" fn(
            dstHost: *mut ::std::os::raw::c_void,
            srcDevice: CUdeviceptr,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyDtoDAsync_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            srcDevice: CUdeviceptr,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyHtoAAsync_v2: Result<
        unsafe extern "C" fn(
            dstArray: CUarray,
            dstOffset: usize,
            srcHost: *const ::std::os::raw::c_void,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpyAtoHAsync_v2: Result<
        unsafe extern "C" fn(
            dstHost: *mut ::std::os::raw::c_void,
            srcArray: CUarray,
            srcOffset: usize,
            ByteCount: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpy2DAsync_v2: Result<
        unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY2D, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpy3DAsync_v2: Result<
        unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY3D, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemcpy3DPeerAsync: Result<
        unsafe extern "C" fn(pCopy: *const CUDA_MEMCPY3D_PEER, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD8_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            uc: ::std::os::raw::c_uchar,
            N: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD16_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            us: ::std::os::raw::c_ushort,
            N: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD32_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            ui: ::std::os::raw::c_uint,
            N: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D8_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            uc: ::std::os::raw::c_uchar,
            Width: usize,
            Height: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D16_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            us: ::std::os::raw::c_ushort,
            Width: usize,
            Height: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D32_v2: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            ui: ::std::os::raw::c_uint,
            Width: usize,
            Height: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD8Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            uc: ::std::os::raw::c_uchar,
            N: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD16Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            us: ::std::os::raw::c_ushort,
            N: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD32Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            ui: ::std::os::raw::c_uint,
            N: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D8Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            uc: ::std::os::raw::c_uchar,
            Width: usize,
            Height: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D16Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            us: ::std::os::raw::c_ushort,
            Width: usize,
            Height: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemsetD2D32Async: Result<
        unsafe extern "C" fn(
            dstDevice: CUdeviceptr,
            dstPitch: usize,
            ui: ::std::os::raw::c_uint,
            Width: usize,
            Height: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayCreate_v2: Result<
        unsafe extern "C" fn(
            pHandle: *mut CUarray,
            pAllocateArray: *const CUDA_ARRAY_DESCRIPTOR,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayGetDescriptor_v2: Result<
        unsafe extern "C" fn(
            pArrayDescriptor: *mut CUDA_ARRAY_DESCRIPTOR,
            hArray: CUarray,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayGetSparseProperties: Result<
        unsafe extern "C" fn(
            sparseProperties: *mut CUDA_ARRAY_SPARSE_PROPERTIES,
            array: CUarray,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMipmappedArrayGetSparseProperties: Result<
        unsafe extern "C" fn(
            sparseProperties: *mut CUDA_ARRAY_SPARSE_PROPERTIES,
            mipmap: CUmipmappedArray,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayGetMemoryRequirements: Result<
        unsafe extern "C" fn(
            memoryRequirements: *mut CUDA_ARRAY_MEMORY_REQUIREMENTS,
            array: CUarray,
            device: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMipmappedArrayGetMemoryRequirements: Result<
        unsafe extern "C" fn(
            memoryRequirements: *mut CUDA_ARRAY_MEMORY_REQUIREMENTS,
            mipmap: CUmipmappedArray,
            device: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayGetPlane: Result<
        unsafe extern "C" fn(
            pPlaneArray: *mut CUarray,
            hArray: CUarray,
            planeIdx: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArrayDestroy:
        Result<unsafe extern "C" fn(hArray: CUarray) -> CUresult, ::libloading::Error>,
    pub cuArray3DCreate_v2: Result<
        unsafe extern "C" fn(
            pHandle: *mut CUarray,
            pAllocateArray: *const CUDA_ARRAY3D_DESCRIPTOR,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuArray3DGetDescriptor_v2: Result<
        unsafe extern "C" fn(
            pArrayDescriptor: *mut CUDA_ARRAY3D_DESCRIPTOR,
            hArray: CUarray,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMipmappedArrayCreate: Result<
        unsafe extern "C" fn(
            pHandle: *mut CUmipmappedArray,
            pMipmappedArrayDesc: *const CUDA_ARRAY3D_DESCRIPTOR,
            numMipmapLevels: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMipmappedArrayGetLevel: Result<
        unsafe extern "C" fn(
            pLevelArray: *mut CUarray,
            hMipmappedArray: CUmipmappedArray,
            level: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMipmappedArrayDestroy: Result<
        unsafe extern "C" fn(hMipmappedArray: CUmipmappedArray) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemGetHandleForAddressRange: Result<
        unsafe extern "C" fn(
            handle: *mut ::std::os::raw::c_void,
            dptr: CUdeviceptr,
            size: usize,
            handleType: CUmemRangeHandleType,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAddressReserve: Result<
        unsafe extern "C" fn(
            ptr: *mut CUdeviceptr,
            size: usize,
            alignment: usize,
            addr: CUdeviceptr,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAddressFree: Result<
        unsafe extern "C" fn(ptr: CUdeviceptr, size: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemCreate: Result<
        unsafe extern "C" fn(
            handle: *mut CUmemGenericAllocationHandle,
            size: usize,
            prop: *const CUmemAllocationProp,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemRelease: Result<
        unsafe extern "C" fn(handle: CUmemGenericAllocationHandle) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemMap: Result<
        unsafe extern "C" fn(
            ptr: CUdeviceptr,
            size: usize,
            offset: usize,
            handle: CUmemGenericAllocationHandle,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemMapArrayAsync: Result<
        unsafe extern "C" fn(
            mapInfoList: *mut CUarrayMapInfo,
            count: ::std::os::raw::c_uint,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemUnmap: Result<
        unsafe extern "C" fn(ptr: CUdeviceptr, size: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemSetAccess: Result<
        unsafe extern "C" fn(
            ptr: CUdeviceptr,
            size: usize,
            desc: *const CUmemAccessDesc,
            count: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemGetAccess: Result<
        unsafe extern "C" fn(
            flags: *mut ::std::os::raw::c_ulonglong,
            location: *const CUmemLocation,
            ptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemExportToShareableHandle: Result<
        unsafe extern "C" fn(
            shareableHandle: *mut ::std::os::raw::c_void,
            handle: CUmemGenericAllocationHandle,
            handleType: CUmemAllocationHandleType,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemImportFromShareableHandle: Result<
        unsafe extern "C" fn(
            handle: *mut CUmemGenericAllocationHandle,
            osHandle: *mut ::std::os::raw::c_void,
            shHandleType: CUmemAllocationHandleType,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemGetAllocationGranularity: Result<
        unsafe extern "C" fn(
            granularity: *mut usize,
            prop: *const CUmemAllocationProp,
            option: CUmemAllocationGranularity_flags,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemGetAllocationPropertiesFromHandle: Result<
        unsafe extern "C" fn(
            prop: *mut CUmemAllocationProp,
            handle: CUmemGenericAllocationHandle,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemRetainAllocationHandle: Result<
        unsafe extern "C" fn(
            handle: *mut CUmemGenericAllocationHandle,
            addr: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemFreeAsync: Result<
        unsafe extern "C" fn(dptr: CUdeviceptr, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAllocAsync: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytesize: usize,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolTrimTo: Result<
        unsafe extern "C" fn(pool: CUmemoryPool, minBytesToKeep: usize) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolSetAttribute: Result<
        unsafe extern "C" fn(
            pool: CUmemoryPool,
            attr: CUmemPool_attribute,
            value: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolGetAttribute: Result<
        unsafe extern "C" fn(
            pool: CUmemoryPool,
            attr: CUmemPool_attribute,
            value: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolSetAccess: Result<
        unsafe extern "C" fn(
            pool: CUmemoryPool,
            map: *const CUmemAccessDesc,
            count: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolGetAccess: Result<
        unsafe extern "C" fn(
            flags: *mut CUmemAccess_flags,
            memPool: CUmemoryPool,
            location: *mut CUmemLocation,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolCreate: Result<
        unsafe extern "C" fn(pool: *mut CUmemoryPool, poolProps: *const CUmemPoolProps) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolDestroy:
        Result<unsafe extern "C" fn(pool: CUmemoryPool) -> CUresult, ::libloading::Error>,
    pub cuMemAllocFromPoolAsync: Result<
        unsafe extern "C" fn(
            dptr: *mut CUdeviceptr,
            bytesize: usize,
            pool: CUmemoryPool,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolExportToShareableHandle: Result<
        unsafe extern "C" fn(
            handle_out: *mut ::std::os::raw::c_void,
            pool: CUmemoryPool,
            handleType: CUmemAllocationHandleType,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolImportFromShareableHandle: Result<
        unsafe extern "C" fn(
            pool_out: *mut CUmemoryPool,
            handle: *mut ::std::os::raw::c_void,
            handleType: CUmemAllocationHandleType,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolExportPointer: Result<
        unsafe extern "C" fn(
            shareData_out: *mut CUmemPoolPtrExportData,
            ptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPoolImportPointer: Result<
        unsafe extern "C" fn(
            ptr_out: *mut CUdeviceptr,
            pool: CUmemoryPool,
            shareData: *mut CUmemPoolPtrExportData,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuPointerGetAttribute: Result<
        unsafe extern "C" fn(
            data: *mut ::std::os::raw::c_void,
            attribute: CUpointer_attribute,
            ptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemPrefetchAsync: Result<
        unsafe extern "C" fn(
            devPtr: CUdeviceptr,
            count: usize,
            dstDevice: CUdevice,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemAdvise: Result<
        unsafe extern "C" fn(
            devPtr: CUdeviceptr,
            count: usize,
            advice: CUmem_advise,
            device: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemRangeGetAttribute: Result<
        unsafe extern "C" fn(
            data: *mut ::std::os::raw::c_void,
            dataSize: usize,
            attribute: CUmem_range_attribute,
            devPtr: CUdeviceptr,
            count: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuMemRangeGetAttributes: Result<
        unsafe extern "C" fn(
            data: *mut *mut ::std::os::raw::c_void,
            dataSizes: *mut usize,
            attributes: *mut CUmem_range_attribute,
            numAttributes: usize,
            devPtr: CUdeviceptr,
            count: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuPointerSetAttribute: Result<
        unsafe extern "C" fn(
            value: *const ::std::os::raw::c_void,
            attribute: CUpointer_attribute,
            ptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuPointerGetAttributes: Result<
        unsafe extern "C" fn(
            numAttributes: ::std::os::raw::c_uint,
            attributes: *mut CUpointer_attribute,
            data: *mut *mut ::std::os::raw::c_void,
            ptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamCreate: Result<
        unsafe extern "C" fn(phStream: *mut CUstream, Flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamCreateWithPriority: Result<
        unsafe extern "C" fn(
            phStream: *mut CUstream,
            flags: ::std::os::raw::c_uint,
            priority: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamGetPriority: Result<
        unsafe extern "C" fn(hStream: CUstream, priority: *mut ::std::os::raw::c_int) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamGetFlags: Result<
        unsafe extern "C" fn(hStream: CUstream, flags: *mut ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamGetId: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            streamId: *mut ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamGetCtx: Result<
        unsafe extern "C" fn(hStream: CUstream, pctx: *mut CUcontext) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamWaitEvent: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            hEvent: CUevent,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamAddCallback: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            callback: CUstreamCallback,
            userData: *mut ::std::os::raw::c_void,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamBeginCapture_v2: Result<
        unsafe extern "C" fn(hStream: CUstream, mode: CUstreamCaptureMode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuThreadExchangeStreamCaptureMode: Result<
        unsafe extern "C" fn(mode: *mut CUstreamCaptureMode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamEndCapture: Result<
        unsafe extern "C" fn(hStream: CUstream, phGraph: *mut CUgraph) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamIsCapturing: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            captureStatus: *mut CUstreamCaptureStatus,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamGetCaptureInfo_v2: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            captureStatus_out: *mut CUstreamCaptureStatus,
            id_out: *mut cuuint64_t,
            graph_out: *mut CUgraph,
            dependencies_out: *mut *const CUgraphNode,
            numDependencies_out: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamUpdateCaptureDependencies: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            dependencies: *mut CUgraphNode,
            numDependencies: usize,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamAttachMemAsync: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            dptr: CUdeviceptr,
            length: usize,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamQuery:
        Result<unsafe extern "C" fn(hStream: CUstream) -> CUresult, ::libloading::Error>,
    pub cuStreamSynchronize:
        Result<unsafe extern "C" fn(hStream: CUstream) -> CUresult, ::libloading::Error>,
    pub cuStreamDestroy_v2:
        Result<unsafe extern "C" fn(hStream: CUstream) -> CUresult, ::libloading::Error>,
    pub cuStreamCopyAttributes:
        Result<unsafe extern "C" fn(dst: CUstream, src: CUstream) -> CUresult, ::libloading::Error>,
    pub cuStreamGetAttribute: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            attr: CUstreamAttrID,
            value_out: *mut CUstreamAttrValue,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamSetAttribute: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            attr: CUstreamAttrID,
            value: *const CUstreamAttrValue,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuEventCreate: Result<
        unsafe extern "C" fn(phEvent: *mut CUevent, Flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuEventRecord: Result<
        unsafe extern "C" fn(hEvent: CUevent, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuEventRecordWithFlags: Result<
        unsafe extern "C" fn(
            hEvent: CUevent,
            hStream: CUstream,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuEventQuery:
        Result<unsafe extern "C" fn(hEvent: CUevent) -> CUresult, ::libloading::Error>,
    pub cuEventSynchronize:
        Result<unsafe extern "C" fn(hEvent: CUevent) -> CUresult, ::libloading::Error>,
    pub cuEventDestroy_v2:
        Result<unsafe extern "C" fn(hEvent: CUevent) -> CUresult, ::libloading::Error>,
    pub cuEventElapsedTime: Result<
        unsafe extern "C" fn(pMilliseconds: *mut f32, hStart: CUevent, hEnd: CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuImportExternalMemory: Result<
        unsafe extern "C" fn(
            extMem_out: *mut CUexternalMemory,
            memHandleDesc: *const CUDA_EXTERNAL_MEMORY_HANDLE_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuExternalMemoryGetMappedBuffer: Result<
        unsafe extern "C" fn(
            devPtr: *mut CUdeviceptr,
            extMem: CUexternalMemory,
            bufferDesc: *const CUDA_EXTERNAL_MEMORY_BUFFER_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuExternalMemoryGetMappedMipmappedArray: Result<
        unsafe extern "C" fn(
            mipmap: *mut CUmipmappedArray,
            extMem: CUexternalMemory,
            mipmapDesc: *const CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDestroyExternalMemory:
        Result<unsafe extern "C" fn(extMem: CUexternalMemory) -> CUresult, ::libloading::Error>,
    pub cuImportExternalSemaphore: Result<
        unsafe extern "C" fn(
            extSem_out: *mut CUexternalSemaphore,
            semHandleDesc: *const CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuSignalExternalSemaphoresAsync: Result<
        unsafe extern "C" fn(
            extSemArray: *const CUexternalSemaphore,
            paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS,
            numExtSems: ::std::os::raw::c_uint,
            stream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuWaitExternalSemaphoresAsync: Result<
        unsafe extern "C" fn(
            extSemArray: *const CUexternalSemaphore,
            paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS,
            numExtSems: ::std::os::raw::c_uint,
            stream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDestroyExternalSemaphore:
        Result<unsafe extern "C" fn(extSem: CUexternalSemaphore) -> CUresult, ::libloading::Error>,
    pub cuStreamWaitValue32_v2: Result<
        unsafe extern "C" fn(
            stream: CUstream,
            addr: CUdeviceptr,
            value: cuuint32_t,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamWaitValue64_v2: Result<
        unsafe extern "C" fn(
            stream: CUstream,
            addr: CUdeviceptr,
            value: cuuint64_t,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamWriteValue32_v2: Result<
        unsafe extern "C" fn(
            stream: CUstream,
            addr: CUdeviceptr,
            value: cuuint32_t,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamWriteValue64_v2: Result<
        unsafe extern "C" fn(
            stream: CUstream,
            addr: CUdeviceptr,
            value: cuuint64_t,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuStreamBatchMemOp_v2: Result<
        unsafe extern "C" fn(
            stream: CUstream,
            count: ::std::os::raw::c_uint,
            paramArray: *mut CUstreamBatchMemOpParams,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncGetAttribute: Result<
        unsafe extern "C" fn(
            pi: *mut ::std::os::raw::c_int,
            attrib: CUfunction_attribute,
            hfunc: CUfunction,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncSetAttribute: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            attrib: CUfunction_attribute,
            value: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncSetCacheConfig: Result<
        unsafe extern "C" fn(hfunc: CUfunction, config: CUfunc_cache) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncSetSharedMemConfig: Result<
        unsafe extern "C" fn(hfunc: CUfunction, config: CUsharedconfig) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncGetModule: Result<
        unsafe extern "C" fn(hmod: *mut CUmodule, hfunc: CUfunction) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchKernel: Result<
        unsafe extern "C" fn(
            f: CUfunction,
            gridDimX: ::std::os::raw::c_uint,
            gridDimY: ::std::os::raw::c_uint,
            gridDimZ: ::std::os::raw::c_uint,
            blockDimX: ::std::os::raw::c_uint,
            blockDimY: ::std::os::raw::c_uint,
            blockDimZ: ::std::os::raw::c_uint,
            sharedMemBytes: ::std::os::raw::c_uint,
            hStream: CUstream,
            kernelParams: *mut *mut ::std::os::raw::c_void,
            extra: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchKernelEx: Result<
        unsafe extern "C" fn(
            config: *const CUlaunchConfig,
            f: CUfunction,
            kernelParams: *mut *mut ::std::os::raw::c_void,
            extra: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchCooperativeKernel: Result<
        unsafe extern "C" fn(
            f: CUfunction,
            gridDimX: ::std::os::raw::c_uint,
            gridDimY: ::std::os::raw::c_uint,
            gridDimZ: ::std::os::raw::c_uint,
            blockDimX: ::std::os::raw::c_uint,
            blockDimY: ::std::os::raw::c_uint,
            blockDimZ: ::std::os::raw::c_uint,
            sharedMemBytes: ::std::os::raw::c_uint,
            hStream: CUstream,
            kernelParams: *mut *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchCooperativeKernelMultiDevice: Result<
        unsafe extern "C" fn(
            launchParamsList: *mut CUDA_LAUNCH_PARAMS,
            numDevices: ::std::os::raw::c_uint,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchHostFunc: Result<
        unsafe extern "C" fn(
            hStream: CUstream,
            fn_: CUhostFn,
            userData: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncSetBlockShape: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            x: ::std::os::raw::c_int,
            y: ::std::os::raw::c_int,
            z: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuFuncSetSharedSize: Result<
        unsafe extern "C" fn(hfunc: CUfunction, bytes: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuParamSetSize: Result<
        unsafe extern "C" fn(hfunc: CUfunction, numbytes: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuParamSeti: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            offset: ::std::os::raw::c_int,
            value: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuParamSetf: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            offset: ::std::os::raw::c_int,
            value: f32,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuParamSetv: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            offset: ::std::os::raw::c_int,
            ptr: *mut ::std::os::raw::c_void,
            numbytes: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunch: Result<unsafe extern "C" fn(f: CUfunction) -> CUresult, ::libloading::Error>,
    pub cuLaunchGrid: Result<
        unsafe extern "C" fn(
            f: CUfunction,
            grid_width: ::std::os::raw::c_int,
            grid_height: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuLaunchGridAsync: Result<
        unsafe extern "C" fn(
            f: CUfunction,
            grid_width: ::std::os::raw::c_int,
            grid_height: ::std::os::raw::c_int,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuParamSetTexRef: Result<
        unsafe extern "C" fn(
            hfunc: CUfunction,
            texunit: ::std::os::raw::c_int,
            hTexRef: CUtexref,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphCreate: Result<
        unsafe extern "C" fn(phGraph: *mut CUgraph, flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddKernelNode_v2: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphKernelNodeGetParams_v2: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *mut CUDA_KERNEL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphKernelNodeSetParams_v2: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddMemcpyNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            copyParams: *const CUDA_MEMCPY3D,
            ctx: CUcontext,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemcpyNodeGetParams: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, nodeParams: *mut CUDA_MEMCPY3D) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemcpyNodeSetParams: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, nodeParams: *const CUDA_MEMCPY3D) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddMemsetNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            memsetParams: *const CUDA_MEMSET_NODE_PARAMS,
            ctx: CUcontext,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemsetNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *mut CUDA_MEMSET_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemsetNodeSetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_MEMSET_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddHostNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *const CUDA_HOST_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphHostNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *mut CUDA_HOST_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphHostNodeSetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_HOST_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddChildGraphNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            childGraph: CUgraph,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphChildGraphNodeGetGraph: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, phGraph: *mut CUgraph) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddEmptyNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddEventRecordNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            event: CUevent,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphEventRecordNodeGetEvent: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, event_out: *mut CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphEventRecordNodeSetEvent: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, event: CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddEventWaitNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            event: CUevent,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphEventWaitNodeGetEvent: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, event_out: *mut CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphEventWaitNodeSetEvent: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, event: CUevent) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddExternalSemaphoresSignalNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExternalSemaphoresSignalNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            params_out: *mut CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExternalSemaphoresSignalNodeSetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddExternalSemaphoresWaitNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExternalSemaphoresWaitNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            params_out: *mut CUDA_EXT_SEM_WAIT_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExternalSemaphoresWaitNodeSetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddBatchMemOpNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphBatchMemOpNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams_out: *mut CUDA_BATCH_MEM_OP_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphBatchMemOpNodeSetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecBatchMemOpNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddMemAllocNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            nodeParams: *mut CUDA_MEM_ALLOC_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemAllocNodeGetParams: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            params_out: *mut CUDA_MEM_ALLOC_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddMemFreeNode: Result<
        unsafe extern "C" fn(
            phGraphNode: *mut CUgraphNode,
            hGraph: CUgraph,
            dependencies: *const CUgraphNode,
            numDependencies: usize,
            dptr: CUdeviceptr,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphMemFreeNodeGetParams: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, dptr_out: *mut CUdeviceptr) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceGraphMemTrim:
        Result<unsafe extern "C" fn(device: CUdevice) -> CUresult, ::libloading::Error>,
    pub cuDeviceGetGraphMemAttribute: Result<
        unsafe extern "C" fn(
            device: CUdevice,
            attr: CUgraphMem_attribute,
            value: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceSetGraphMemAttribute: Result<
        unsafe extern "C" fn(
            device: CUdevice,
            attr: CUgraphMem_attribute,
            value: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphClone: Result<
        unsafe extern "C" fn(phGraphClone: *mut CUgraph, originalGraph: CUgraph) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeFindInClone: Result<
        unsafe extern "C" fn(
            phNode: *mut CUgraphNode,
            hOriginalNode: CUgraphNode,
            hClonedGraph: CUgraph,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeGetType: Result<
        unsafe extern "C" fn(hNode: CUgraphNode, type_: *mut CUgraphNodeType) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphGetNodes: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            nodes: *mut CUgraphNode,
            numNodes: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphGetRootNodes: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            rootNodes: *mut CUgraphNode,
            numRootNodes: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphGetEdges: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            from: *mut CUgraphNode,
            to: *mut CUgraphNode,
            numEdges: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeGetDependencies: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            dependencies: *mut CUgraphNode,
            numDependencies: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeGetDependentNodes: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            dependentNodes: *mut CUgraphNode,
            numDependentNodes: *mut usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphAddDependencies: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            from: *const CUgraphNode,
            to: *const CUgraphNode,
            numDependencies: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphRemoveDependencies: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            from: *const CUgraphNode,
            to: *const CUgraphNode,
            numDependencies: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphDestroyNode:
        Result<unsafe extern "C" fn(hNode: CUgraphNode) -> CUresult, ::libloading::Error>,
    pub cuGraphInstantiateWithFlags: Result<
        unsafe extern "C" fn(
            phGraphExec: *mut CUgraphExec,
            hGraph: CUgraph,
            flags: ::std::os::raw::c_ulonglong,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphInstantiateWithParams: Result<
        unsafe extern "C" fn(
            phGraphExec: *mut CUgraphExec,
            hGraph: CUgraph,
            instantiateParams: *mut CUDA_GRAPH_INSTANTIATE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecGetFlags: Result<
        unsafe extern "C" fn(hGraphExec: CUgraphExec, flags: *mut cuuint64_t) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecKernelNodeSetParams_v2: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecMemcpyNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            copyParams: *const CUDA_MEMCPY3D,
            ctx: CUcontext,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecMemsetNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            memsetParams: *const CUDA_MEMSET_NODE_PARAMS,
            ctx: CUcontext,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecHostNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            nodeParams: *const CUDA_HOST_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecChildGraphNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            childGraph: CUgraph,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecEventRecordNodeSetEvent: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            event: CUevent,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecEventWaitNodeSetEvent: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            event: CUevent,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecExternalSemaphoresSignalNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecExternalSemaphoresWaitNodeSetParams: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeSetEnabled: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            isEnabled: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphNodeGetEnabled: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hNode: CUgraphNode,
            isEnabled: *mut ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphUpload: Result<
        unsafe extern "C" fn(hGraphExec: CUgraphExec, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphLaunch: Result<
        unsafe extern "C" fn(hGraphExec: CUgraphExec, hStream: CUstream) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphExecDestroy:
        Result<unsafe extern "C" fn(hGraphExec: CUgraphExec) -> CUresult, ::libloading::Error>,
    pub cuGraphDestroy:
        Result<unsafe extern "C" fn(hGraph: CUgraph) -> CUresult, ::libloading::Error>,
    pub cuGraphExecUpdate_v2: Result<
        unsafe extern "C" fn(
            hGraphExec: CUgraphExec,
            hGraph: CUgraph,
            resultInfo: *mut CUgraphExecUpdateResultInfo,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphKernelNodeCopyAttributes: Result<
        unsafe extern "C" fn(dst: CUgraphNode, src: CUgraphNode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphKernelNodeGetAttribute: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            attr: CUkernelNodeAttrID,
            value_out: *mut CUkernelNodeAttrValue,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphKernelNodeSetAttribute: Result<
        unsafe extern "C" fn(
            hNode: CUgraphNode,
            attr: CUkernelNodeAttrID,
            value: *const CUkernelNodeAttrValue,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphDebugDotPrint: Result<
        unsafe extern "C" fn(
            hGraph: CUgraph,
            path: *const ::std::os::raw::c_char,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuUserObjectCreate: Result<
        unsafe extern "C" fn(
            object_out: *mut CUuserObject,
            ptr: *mut ::std::os::raw::c_void,
            destroy: CUhostFn,
            initialRefcount: ::std::os::raw::c_uint,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuUserObjectRetain: Result<
        unsafe extern "C" fn(object: CUuserObject, count: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuUserObjectRelease: Result<
        unsafe extern "C" fn(object: CUuserObject, count: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphRetainUserObject: Result<
        unsafe extern "C" fn(
            graph: CUgraph,
            object: CUuserObject,
            count: ::std::os::raw::c_uint,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphReleaseUserObject: Result<
        unsafe extern "C" fn(
            graph: CUgraph,
            object: CUuserObject,
            count: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxActiveBlocksPerMultiprocessor: Result<
        unsafe extern "C" fn(
            numBlocks: *mut ::std::os::raw::c_int,
            func: CUfunction,
            blockSize: ::std::os::raw::c_int,
            dynamicSMemSize: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags: Result<
        unsafe extern "C" fn(
            numBlocks: *mut ::std::os::raw::c_int,
            func: CUfunction,
            blockSize: ::std::os::raw::c_int,
            dynamicSMemSize: usize,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxPotentialBlockSize: Result<
        unsafe extern "C" fn(
            minGridSize: *mut ::std::os::raw::c_int,
            blockSize: *mut ::std::os::raw::c_int,
            func: CUfunction,
            blockSizeToDynamicSMemSize: CUoccupancyB2DSize,
            dynamicSMemSize: usize,
            blockSizeLimit: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxPotentialBlockSizeWithFlags: Result<
        unsafe extern "C" fn(
            minGridSize: *mut ::std::os::raw::c_int,
            blockSize: *mut ::std::os::raw::c_int,
            func: CUfunction,
            blockSizeToDynamicSMemSize: CUoccupancyB2DSize,
            dynamicSMemSize: usize,
            blockSizeLimit: ::std::os::raw::c_int,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyAvailableDynamicSMemPerBlock: Result<
        unsafe extern "C" fn(
            dynamicSmemSize: *mut usize,
            func: CUfunction,
            numBlocks: ::std::os::raw::c_int,
            blockSize: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxPotentialClusterSize: Result<
        unsafe extern "C" fn(
            clusterSize: *mut ::std::os::raw::c_int,
            func: CUfunction,
            config: *const CUlaunchConfig,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuOccupancyMaxActiveClusters: Result<
        unsafe extern "C" fn(
            numClusters: *mut ::std::os::raw::c_int,
            func: CUfunction,
            config: *const CUlaunchConfig,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetArray: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            hArray: CUarray,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetMipmappedArray: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            hMipmappedArray: CUmipmappedArray,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetAddress_v2: Result<
        unsafe extern "C" fn(
            ByteOffset: *mut usize,
            hTexRef: CUtexref,
            dptr: CUdeviceptr,
            bytes: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetAddress2D_v3: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            desc: *const CUDA_ARRAY_DESCRIPTOR,
            dptr: CUdeviceptr,
            Pitch: usize,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetFormat: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            fmt: CUarray_format,
            NumPackedComponents: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetAddressMode: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            dim: ::std::os::raw::c_int,
            am: CUaddress_mode,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetFilterMode: Result<
        unsafe extern "C" fn(hTexRef: CUtexref, fm: CUfilter_mode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetMipmapFilterMode: Result<
        unsafe extern "C" fn(hTexRef: CUtexref, fm: CUfilter_mode) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetMipmapLevelBias:
        Result<unsafe extern "C" fn(hTexRef: CUtexref, bias: f32) -> CUresult, ::libloading::Error>,
    pub cuTexRefSetMipmapLevelClamp: Result<
        unsafe extern "C" fn(
            hTexRef: CUtexref,
            minMipmapLevelClamp: f32,
            maxMipmapLevelClamp: f32,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetMaxAnisotropy: Result<
        unsafe extern "C" fn(hTexRef: CUtexref, maxAniso: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetBorderColor: Result<
        unsafe extern "C" fn(hTexRef: CUtexref, pBorderColor: *mut f32) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefSetFlags: Result<
        unsafe extern "C" fn(hTexRef: CUtexref, Flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetAddress_v2: Result<
        unsafe extern "C" fn(pdptr: *mut CUdeviceptr, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetArray: Result<
        unsafe extern "C" fn(phArray: *mut CUarray, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetMipmappedArray: Result<
        unsafe extern "C" fn(
            phMipmappedArray: *mut CUmipmappedArray,
            hTexRef: CUtexref,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetAddressMode: Result<
        unsafe extern "C" fn(
            pam: *mut CUaddress_mode,
            hTexRef: CUtexref,
            dim: ::std::os::raw::c_int,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetFilterMode: Result<
        unsafe extern "C" fn(pfm: *mut CUfilter_mode, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetFormat: Result<
        unsafe extern "C" fn(
            pFormat: *mut CUarray_format,
            pNumChannels: *mut ::std::os::raw::c_int,
            hTexRef: CUtexref,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetMipmapFilterMode: Result<
        unsafe extern "C" fn(pfm: *mut CUfilter_mode, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetMipmapLevelBias: Result<
        unsafe extern "C" fn(pbias: *mut f32, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetMipmapLevelClamp: Result<
        unsafe extern "C" fn(
            pminMipmapLevelClamp: *mut f32,
            pmaxMipmapLevelClamp: *mut f32,
            hTexRef: CUtexref,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetMaxAnisotropy: Result<
        unsafe extern "C" fn(pmaxAniso: *mut ::std::os::raw::c_int, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetBorderColor: Result<
        unsafe extern "C" fn(pBorderColor: *mut f32, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefGetFlags: Result<
        unsafe extern "C" fn(pFlags: *mut ::std::os::raw::c_uint, hTexRef: CUtexref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexRefCreate:
        Result<unsafe extern "C" fn(pTexRef: *mut CUtexref) -> CUresult, ::libloading::Error>,
    pub cuTexRefDestroy:
        Result<unsafe extern "C" fn(hTexRef: CUtexref) -> CUresult, ::libloading::Error>,
    pub cuSurfRefSetArray: Result<
        unsafe extern "C" fn(
            hSurfRef: CUsurfref,
            hArray: CUarray,
            Flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuSurfRefGetArray: Result<
        unsafe extern "C" fn(phArray: *mut CUarray, hSurfRef: CUsurfref) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexObjectCreate: Result<
        unsafe extern "C" fn(
            pTexObject: *mut CUtexObject,
            pResDesc: *const CUDA_RESOURCE_DESC,
            pTexDesc: *const CUDA_TEXTURE_DESC,
            pResViewDesc: *const CUDA_RESOURCE_VIEW_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexObjectDestroy:
        Result<unsafe extern "C" fn(texObject: CUtexObject) -> CUresult, ::libloading::Error>,
    pub cuTexObjectGetResourceDesc: Result<
        unsafe extern "C" fn(pResDesc: *mut CUDA_RESOURCE_DESC, texObject: CUtexObject) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexObjectGetTextureDesc: Result<
        unsafe extern "C" fn(pTexDesc: *mut CUDA_TEXTURE_DESC, texObject: CUtexObject) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTexObjectGetResourceViewDesc: Result<
        unsafe extern "C" fn(
            pResViewDesc: *mut CUDA_RESOURCE_VIEW_DESC,
            texObject: CUtexObject,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuSurfObjectCreate: Result<
        unsafe extern "C" fn(
            pSurfObject: *mut CUsurfObject,
            pResDesc: *const CUDA_RESOURCE_DESC,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuSurfObjectDestroy:
        Result<unsafe extern "C" fn(surfObject: CUsurfObject) -> CUresult, ::libloading::Error>,
    pub cuSurfObjectGetResourceDesc: Result<
        unsafe extern "C" fn(
            pResDesc: *mut CUDA_RESOURCE_DESC,
            surfObject: CUsurfObject,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTensorMapEncodeTiled: Result<
        unsafe extern "C" fn(
            tensorMap: *mut CUtensorMap,
            tensorDataType: CUtensorMapDataType,
            tensorRank: cuuint32_t,
            globalAddress: *mut ::std::os::raw::c_void,
            globalDim: *const cuuint64_t,
            globalStrides: *const cuuint64_t,
            boxDim: *const cuuint32_t,
            elementStrides: *const cuuint32_t,
            interleave: CUtensorMapInterleave,
            swizzle: CUtensorMapSwizzle,
            l2Promotion: CUtensorMapL2promotion,
            oobFill: CUtensorMapFloatOOBfill,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTensorMapEncodeIm2col: Result<
        unsafe extern "C" fn(
            tensorMap: *mut CUtensorMap,
            tensorDataType: CUtensorMapDataType,
            tensorRank: cuuint32_t,
            globalAddress: *mut ::std::os::raw::c_void,
            globalDim: *const cuuint64_t,
            globalStrides: *const cuuint64_t,
            pixelBoxLowerCorner: *const ::std::os::raw::c_int,
            pixelBoxUpperCorner: *const ::std::os::raw::c_int,
            channelsPerPixel: cuuint32_t,
            pixelsPerColumn: cuuint32_t,
            elementStrides: *const cuuint32_t,
            interleave: CUtensorMapInterleave,
            swizzle: CUtensorMapSwizzle,
            l2Promotion: CUtensorMapL2promotion,
            oobFill: CUtensorMapFloatOOBfill,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuTensorMapReplaceAddress: Result<
        unsafe extern "C" fn(
            tensorMap: *mut CUtensorMap,
            globalAddress: *mut ::std::os::raw::c_void,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuDeviceCanAccessPeer: Result<
        unsafe extern "C" fn(
            canAccessPeer: *mut ::std::os::raw::c_int,
            dev: CUdevice,
            peerDev: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxEnablePeerAccess: Result<
        unsafe extern "C" fn(peerContext: CUcontext, Flags: ::std::os::raw::c_uint) -> CUresult,
        ::libloading::Error,
    >,
    pub cuCtxDisablePeerAccess:
        Result<unsafe extern "C" fn(peerContext: CUcontext) -> CUresult, ::libloading::Error>,
    pub cuDeviceGetP2PAttribute: Result<
        unsafe extern "C" fn(
            value: *mut ::std::os::raw::c_int,
            attrib: CUdevice_P2PAttribute,
            srcDevice: CUdevice,
            dstDevice: CUdevice,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsUnregisterResource:
        Result<unsafe extern "C" fn(resource: CUgraphicsResource) -> CUresult, ::libloading::Error>,
    pub cuGraphicsSubResourceGetMappedArray: Result<
        unsafe extern "C" fn(
            pArray: *mut CUarray,
            resource: CUgraphicsResource,
            arrayIndex: ::std::os::raw::c_uint,
            mipLevel: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsResourceGetMappedMipmappedArray: Result<
        unsafe extern "C" fn(
            pMipmappedArray: *mut CUmipmappedArray,
            resource: CUgraphicsResource,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsResourceGetMappedPointer_v2: Result<
        unsafe extern "C" fn(
            pDevPtr: *mut CUdeviceptr,
            pSize: *mut usize,
            resource: CUgraphicsResource,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsResourceSetMapFlags_v2: Result<
        unsafe extern "C" fn(
            resource: CUgraphicsResource,
            flags: ::std::os::raw::c_uint,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsMapResources: Result<
        unsafe extern "C" fn(
            count: ::std::os::raw::c_uint,
            resources: *mut CUgraphicsResource,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGraphicsUnmapResources: Result<
        unsafe extern "C" fn(
            count: ::std::os::raw::c_uint,
            resources: *mut CUgraphicsResource,
            hStream: CUstream,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGetProcAddress_v2: Result<
        unsafe extern "C" fn(
            symbol: *const ::std::os::raw::c_char,
            pfn: *mut *mut ::std::os::raw::c_void,
            cudaVersion: ::std::os::raw::c_int,
            flags: cuuint64_t,
            symbolStatus: *mut CUdriverProcAddressQueryResult,
        ) -> CUresult,
        ::libloading::Error,
    >,
    pub cuGetExportTable: Result<
        unsafe extern "C" fn(
            ppExportTable: *mut *const ::std::os::raw::c_void,
            pExportTableId: *const CUuuid,
        ) -> CUresult,
        ::libloading::Error,
    >,
}
impl cuda {
    pub unsafe fn new<P>(path: P) -> Result<Self, ::libloading::Error>
    where
        P: AsRef<::std::ffi::OsStr>,
    {
        let library = ::libloading::Library::new(path)?;
        Self::from_library(library)
    }
    pub unsafe fn from_library<L>(library: L) -> Result<Self, ::libloading::Error>
    where
        L: Into<::libloading::Library>,
    {
        let __library = library.into();
        let cuGetErrorString = __library.get(b"cuGetErrorString\0").map(|sym| *sym);
        let cuGetErrorName = __library.get(b"cuGetErrorName\0").map(|sym| *sym);
        let cuInit = __library.get(b"cuInit\0").map(|sym| *sym);
        let cuDriverGetVersion = __library.get(b"cuDriverGetVersion\0").map(|sym| *sym);
        let cuDeviceGet = __library.get(b"cuDeviceGet\0").map(|sym| *sym);
        let cuDeviceGetCount = __library.get(b"cuDeviceGetCount\0").map(|sym| *sym);
        let cuDeviceGetName = __library.get(b"cuDeviceGetName\0").map(|sym| *sym);
        let cuDeviceGetUuid = __library.get(b"cuDeviceGetUuid\0").map(|sym| *sym);
        let cuDeviceGetUuid_v2 = __library.get(b"cuDeviceGetUuid_v2\0").map(|sym| *sym);
        let cuDeviceGetLuid = __library.get(b"cuDeviceGetLuid\0").map(|sym| *sym);
        let cuDeviceTotalMem_v2 = __library.get(b"cuDeviceTotalMem_v2\0").map(|sym| *sym);
        let cuDeviceGetTexture1DLinearMaxWidth = __library
            .get(b"cuDeviceGetTexture1DLinearMaxWidth\0")
            .map(|sym| *sym);
        let cuDeviceGetAttribute = __library.get(b"cuDeviceGetAttribute\0").map(|sym| *sym);
        let cuDeviceGetNvSciSyncAttributes = __library
            .get(b"cuDeviceGetNvSciSyncAttributes\0")
            .map(|sym| *sym);
        let cuDeviceSetMemPool = __library.get(b"cuDeviceSetMemPool\0").map(|sym| *sym);
        let cuDeviceGetMemPool = __library.get(b"cuDeviceGetMemPool\0").map(|sym| *sym);
        let cuDeviceGetDefaultMemPool = __library
            .get(b"cuDeviceGetDefaultMemPool\0")
            .map(|sym| *sym);
        let cuDeviceGetExecAffinitySupport = __library
            .get(b"cuDeviceGetExecAffinitySupport\0")
            .map(|sym| *sym);
        let cuFlushGPUDirectRDMAWrites = __library
            .get(b"cuFlushGPUDirectRDMAWrites\0")
            .map(|sym| *sym);
        let cuDeviceGetProperties = __library.get(b"cuDeviceGetProperties\0").map(|sym| *sym);
        let cuDeviceComputeCapability = __library
            .get(b"cuDeviceComputeCapability\0")
            .map(|sym| *sym);
        let cuDevicePrimaryCtxRetain = __library.get(b"cuDevicePrimaryCtxRetain\0").map(|sym| *sym);
        let cuDevicePrimaryCtxRelease_v2 = __library
            .get(b"cuDevicePrimaryCtxRelease_v2\0")
            .map(|sym| *sym);
        let cuDevicePrimaryCtxSetFlags_v2 = __library
            .get(b"cuDevicePrimaryCtxSetFlags_v2\0")
            .map(|sym| *sym);
        let cuDevicePrimaryCtxGetState = __library
            .get(b"cuDevicePrimaryCtxGetState\0")
            .map(|sym| *sym);
        let cuDevicePrimaryCtxReset_v2 = __library
            .get(b"cuDevicePrimaryCtxReset_v2\0")
            .map(|sym| *sym);
        let cuCtxCreate_v2 = __library.get(b"cuCtxCreate_v2\0").map(|sym| *sym);
        let cuCtxCreate_v3 = __library.get(b"cuCtxCreate_v3\0").map(|sym| *sym);
        let cuCtxDestroy_v2 = __library.get(b"cuCtxDestroy_v2\0").map(|sym| *sym);
        let cuCtxPushCurrent_v2 = __library.get(b"cuCtxPushCurrent_v2\0").map(|sym| *sym);
        let cuCtxPopCurrent_v2 = __library.get(b"cuCtxPopCurrent_v2\0").map(|sym| *sym);
        let cuCtxSetCurrent = __library.get(b"cuCtxSetCurrent\0").map(|sym| *sym);
        let cuCtxGetCurrent = __library.get(b"cuCtxGetCurrent\0").map(|sym| *sym);
        let cuCtxGetDevice = __library.get(b"cuCtxGetDevice\0").map(|sym| *sym);
        let cuCtxGetFlags = __library.get(b"cuCtxGetFlags\0").map(|sym| *sym);
        let cuCtxGetId = __library.get(b"cuCtxGetId\0").map(|sym| *sym);
        let cuCtxSynchronize = __library.get(b"cuCtxSynchronize\0").map(|sym| *sym);
        let cuCtxSetLimit = __library.get(b"cuCtxSetLimit\0").map(|sym| *sym);
        let cuCtxGetLimit = __library.get(b"cuCtxGetLimit\0").map(|sym| *sym);
        let cuCtxGetCacheConfig = __library.get(b"cuCtxGetCacheConfig\0").map(|sym| *sym);
        let cuCtxSetCacheConfig = __library.get(b"cuCtxSetCacheConfig\0").map(|sym| *sym);
        let cuCtxGetSharedMemConfig = __library.get(b"cuCtxGetSharedMemConfig\0").map(|sym| *sym);
        let cuCtxSetSharedMemConfig = __library.get(b"cuCtxSetSharedMemConfig\0").map(|sym| *sym);
        let cuCtxGetApiVersion = __library.get(b"cuCtxGetApiVersion\0").map(|sym| *sym);
        let cuCtxGetStreamPriorityRange = __library
            .get(b"cuCtxGetStreamPriorityRange\0")
            .map(|sym| *sym);
        let cuCtxResetPersistingL2Cache = __library
            .get(b"cuCtxResetPersistingL2Cache\0")
            .map(|sym| *sym);
        let cuCtxGetExecAffinity = __library.get(b"cuCtxGetExecAffinity\0").map(|sym| *sym);
        let cuCtxAttach = __library.get(b"cuCtxAttach\0").map(|sym| *sym);
        let cuCtxDetach = __library.get(b"cuCtxDetach\0").map(|sym| *sym);
        let cuModuleLoad = __library.get(b"cuModuleLoad\0").map(|sym| *sym);
        let cuModuleLoadData = __library.get(b"cuModuleLoadData\0").map(|sym| *sym);
        let cuModuleLoadDataEx = __library.get(b"cuModuleLoadDataEx\0").map(|sym| *sym);
        let cuModuleLoadFatBinary = __library.get(b"cuModuleLoadFatBinary\0").map(|sym| *sym);
        let cuModuleUnload = __library.get(b"cuModuleUnload\0").map(|sym| *sym);
        let cuModuleGetLoadingMode = __library.get(b"cuModuleGetLoadingMode\0").map(|sym| *sym);
        let cuModuleGetFunction = __library.get(b"cuModuleGetFunction\0").map(|sym| *sym);
        let cuModuleGetGlobal_v2 = __library.get(b"cuModuleGetGlobal_v2\0").map(|sym| *sym);
        let cuLinkCreate_v2 = __library.get(b"cuLinkCreate_v2\0").map(|sym| *sym);
        let cuLinkAddData_v2 = __library.get(b"cuLinkAddData_v2\0").map(|sym| *sym);
        let cuLinkAddFile_v2 = __library.get(b"cuLinkAddFile_v2\0").map(|sym| *sym);
        let cuLinkComplete = __library.get(b"cuLinkComplete\0").map(|sym| *sym);
        let cuLinkDestroy = __library.get(b"cuLinkDestroy\0").map(|sym| *sym);
        let cuModuleGetTexRef = __library.get(b"cuModuleGetTexRef\0").map(|sym| *sym);
        let cuModuleGetSurfRef = __library.get(b"cuModuleGetSurfRef\0").map(|sym| *sym);
        let cuLibraryLoadData = __library.get(b"cuLibraryLoadData\0").map(|sym| *sym);
        let cuLibraryLoadFromFile = __library.get(b"cuLibraryLoadFromFile\0").map(|sym| *sym);
        let cuLibraryUnload = __library.get(b"cuLibraryUnload\0").map(|sym| *sym);
        let cuLibraryGetKernel = __library.get(b"cuLibraryGetKernel\0").map(|sym| *sym);
        let cuLibraryGetModule = __library.get(b"cuLibraryGetModule\0").map(|sym| *sym);
        let cuKernelGetFunction = __library.get(b"cuKernelGetFunction\0").map(|sym| *sym);
        let cuLibraryGetGlobal = __library.get(b"cuLibraryGetGlobal\0").map(|sym| *sym);
        let cuLibraryGetManaged = __library.get(b"cuLibraryGetManaged\0").map(|sym| *sym);
        let cuLibraryGetUnifiedFunction = __library
            .get(b"cuLibraryGetUnifiedFunction\0")
            .map(|sym| *sym);
        let cuKernelGetAttribute = __library.get(b"cuKernelGetAttribute\0").map(|sym| *sym);
        let cuKernelSetAttribute = __library.get(b"cuKernelSetAttribute\0").map(|sym| *sym);
        let cuKernelSetCacheConfig = __library.get(b"cuKernelSetCacheConfig\0").map(|sym| *sym);
        let cuMemGetInfo_v2 = __library.get(b"cuMemGetInfo_v2\0").map(|sym| *sym);
        let cuMemAlloc_v2 = __library.get(b"cuMemAlloc_v2\0").map(|sym| *sym);
        let cuMemAllocPitch_v2 = __library.get(b"cuMemAllocPitch_v2\0").map(|sym| *sym);
        let cuMemFree_v2 = __library.get(b"cuMemFree_v2\0").map(|sym| *sym);
        let cuMemGetAddressRange_v2 = __library.get(b"cuMemGetAddressRange_v2\0").map(|sym| *sym);
        let cuMemAllocHost_v2 = __library.get(b"cuMemAllocHost_v2\0").map(|sym| *sym);
        let cuMemFreeHost = __library.get(b"cuMemFreeHost\0").map(|sym| *sym);
        let cuMemHostAlloc = __library.get(b"cuMemHostAlloc\0").map(|sym| *sym);
        let cuMemHostGetDevicePointer_v2 = __library
            .get(b"cuMemHostGetDevicePointer_v2\0")
            .map(|sym| *sym);
        let cuMemHostGetFlags = __library.get(b"cuMemHostGetFlags\0").map(|sym| *sym);
        let cuMemAllocManaged = __library.get(b"cuMemAllocManaged\0").map(|sym| *sym);
        let cuDeviceGetByPCIBusId = __library.get(b"cuDeviceGetByPCIBusId\0").map(|sym| *sym);
        let cuDeviceGetPCIBusId = __library.get(b"cuDeviceGetPCIBusId\0").map(|sym| *sym);
        let cuIpcGetEventHandle = __library.get(b"cuIpcGetEventHandle\0").map(|sym| *sym);
        let cuIpcOpenEventHandle = __library.get(b"cuIpcOpenEventHandle\0").map(|sym| *sym);
        let cuIpcGetMemHandle = __library.get(b"cuIpcGetMemHandle\0").map(|sym| *sym);
        let cuIpcOpenMemHandle_v2 = __library.get(b"cuIpcOpenMemHandle_v2\0").map(|sym| *sym);
        let cuIpcCloseMemHandle = __library.get(b"cuIpcCloseMemHandle\0").map(|sym| *sym);
        let cuMemHostRegister_v2 = __library.get(b"cuMemHostRegister_v2\0").map(|sym| *sym);
        let cuMemHostUnregister = __library.get(b"cuMemHostUnregister\0").map(|sym| *sym);
        let cuMemcpy = __library.get(b"cuMemcpy\0").map(|sym| *sym);
        let cuMemcpyPeer = __library.get(b"cuMemcpyPeer\0").map(|sym| *sym);
        let cuMemcpyHtoD_v2 = __library.get(b"cuMemcpyHtoD_v2\0").map(|sym| *sym);
        let cuMemcpyDtoH_v2 = __library.get(b"cuMemcpyDtoH_v2\0").map(|sym| *sym);
        let cuMemcpyDtoD_v2 = __library.get(b"cuMemcpyDtoD_v2\0").map(|sym| *sym);
        let cuMemcpyDtoA_v2 = __library.get(b"cuMemcpyDtoA_v2\0").map(|sym| *sym);
        let cuMemcpyAtoD_v2 = __library.get(b"cuMemcpyAtoD_v2\0").map(|sym| *sym);
        let cuMemcpyHtoA_v2 = __library.get(b"cuMemcpyHtoA_v2\0").map(|sym| *sym);
        let cuMemcpyAtoH_v2 = __library.get(b"cuMemcpyAtoH_v2\0").map(|sym| *sym);
        let cuMemcpyAtoA_v2 = __library.get(b"cuMemcpyAtoA_v2\0").map(|sym| *sym);
        let cuMemcpy2D_v2 = __library.get(b"cuMemcpy2D_v2\0").map(|sym| *sym);
        let cuMemcpy2DUnaligned_v2 = __library.get(b"cuMemcpy2DUnaligned_v2\0").map(|sym| *sym);
        let cuMemcpy3D_v2 = __library.get(b"cuMemcpy3D_v2\0").map(|sym| *sym);
        let cuMemcpy3DPeer = __library.get(b"cuMemcpy3DPeer\0").map(|sym| *sym);
        let cuMemcpyAsync = __library.get(b"cuMemcpyAsync\0").map(|sym| *sym);
        let cuMemcpyPeerAsync = __library.get(b"cuMemcpyPeerAsync\0").map(|sym| *sym);
        let cuMemcpyHtoDAsync_v2 = __library.get(b"cuMemcpyHtoDAsync_v2\0").map(|sym| *sym);
        let cuMemcpyDtoHAsync_v2 = __library.get(b"cuMemcpyDtoHAsync_v2\0").map(|sym| *sym);
        let cuMemcpyDtoDAsync_v2 = __library.get(b"cuMemcpyDtoDAsync_v2\0").map(|sym| *sym);
        let cuMemcpyHtoAAsync_v2 = __library.get(b"cuMemcpyHtoAAsync_v2\0").map(|sym| *sym);
        let cuMemcpyAtoHAsync_v2 = __library.get(b"cuMemcpyAtoHAsync_v2\0").map(|sym| *sym);
        let cuMemcpy2DAsync_v2 = __library.get(b"cuMemcpy2DAsync_v2\0").map(|sym| *sym);
        let cuMemcpy3DAsync_v2 = __library.get(b"cuMemcpy3DAsync_v2\0").map(|sym| *sym);
        let cuMemcpy3DPeerAsync = __library.get(b"cuMemcpy3DPeerAsync\0").map(|sym| *sym);
        let cuMemsetD8_v2 = __library.get(b"cuMemsetD8_v2\0").map(|sym| *sym);
        let cuMemsetD16_v2 = __library.get(b"cuMemsetD16_v2\0").map(|sym| *sym);
        let cuMemsetD32_v2 = __library.get(b"cuMemsetD32_v2\0").map(|sym| *sym);
        let cuMemsetD2D8_v2 = __library.get(b"cuMemsetD2D8_v2\0").map(|sym| *sym);
        let cuMemsetD2D16_v2 = __library.get(b"cuMemsetD2D16_v2\0").map(|sym| *sym);
        let cuMemsetD2D32_v2 = __library.get(b"cuMemsetD2D32_v2\0").map(|sym| *sym);
        let cuMemsetD8Async = __library.get(b"cuMemsetD8Async\0").map(|sym| *sym);
        let cuMemsetD16Async = __library.get(b"cuMemsetD16Async\0").map(|sym| *sym);
        let cuMemsetD32Async = __library.get(b"cuMemsetD32Async\0").map(|sym| *sym);
        let cuMemsetD2D8Async = __library.get(b"cuMemsetD2D8Async\0").map(|sym| *sym);
        let cuMemsetD2D16Async = __library.get(b"cuMemsetD2D16Async\0").map(|sym| *sym);
        let cuMemsetD2D32Async = __library.get(b"cuMemsetD2D32Async\0").map(|sym| *sym);
        let cuArrayCreate_v2 = __library.get(b"cuArrayCreate_v2\0").map(|sym| *sym);
        let cuArrayGetDescriptor_v2 = __library.get(b"cuArrayGetDescriptor_v2\0").map(|sym| *sym);
        let cuArrayGetSparseProperties = __library
            .get(b"cuArrayGetSparseProperties\0")
            .map(|sym| *sym);
        let cuMipmappedArrayGetSparseProperties = __library
            .get(b"cuMipmappedArrayGetSparseProperties\0")
            .map(|sym| *sym);
        let cuArrayGetMemoryRequirements = __library
            .get(b"cuArrayGetMemoryRequirements\0")
            .map(|sym| *sym);
        let cuMipmappedArrayGetMemoryRequirements = __library
            .get(b"cuMipmappedArrayGetMemoryRequirements\0")
            .map(|sym| *sym);
        let cuArrayGetPlane = __library.get(b"cuArrayGetPlane\0").map(|sym| *sym);
        let cuArrayDestroy = __library.get(b"cuArrayDestroy\0").map(|sym| *sym);
        let cuArray3DCreate_v2 = __library.get(b"cuArray3DCreate_v2\0").map(|sym| *sym);
        let cuArray3DGetDescriptor_v2 = __library
            .get(b"cuArray3DGetDescriptor_v2\0")
            .map(|sym| *sym);
        let cuMipmappedArrayCreate = __library.get(b"cuMipmappedArrayCreate\0").map(|sym| *sym);
        let cuMipmappedArrayGetLevel = __library.get(b"cuMipmappedArrayGetLevel\0").map(|sym| *sym);
        let cuMipmappedArrayDestroy = __library.get(b"cuMipmappedArrayDestroy\0").map(|sym| *sym);
        let cuMemGetHandleForAddressRange = __library
            .get(b"cuMemGetHandleForAddressRange\0")
            .map(|sym| *sym);
        let cuMemAddressReserve = __library.get(b"cuMemAddressReserve\0").map(|sym| *sym);
        let cuMemAddressFree = __library.get(b"cuMemAddressFree\0").map(|sym| *sym);
        let cuMemCreate = __library.get(b"cuMemCreate\0").map(|sym| *sym);
        let cuMemRelease = __library.get(b"cuMemRelease\0").map(|sym| *sym);
        let cuMemMap = __library.get(b"cuMemMap\0").map(|sym| *sym);
        let cuMemMapArrayAsync = __library.get(b"cuMemMapArrayAsync\0").map(|sym| *sym);
        let cuMemUnmap = __library.get(b"cuMemUnmap\0").map(|sym| *sym);
        let cuMemSetAccess = __library.get(b"cuMemSetAccess\0").map(|sym| *sym);
        let cuMemGetAccess = __library.get(b"cuMemGetAccess\0").map(|sym| *sym);
        let cuMemExportToShareableHandle = __library
            .get(b"cuMemExportToShareableHandle\0")
            .map(|sym| *sym);
        let cuMemImportFromShareableHandle = __library
            .get(b"cuMemImportFromShareableHandle\0")
            .map(|sym| *sym);
        let cuMemGetAllocationGranularity = __library
            .get(b"cuMemGetAllocationGranularity\0")
            .map(|sym| *sym);
        let cuMemGetAllocationPropertiesFromHandle = __library
            .get(b"cuMemGetAllocationPropertiesFromHandle\0")
            .map(|sym| *sym);
        let cuMemRetainAllocationHandle = __library
            .get(b"cuMemRetainAllocationHandle\0")
            .map(|sym| *sym);
        let cuMemFreeAsync = __library.get(b"cuMemFreeAsync\0").map(|sym| *sym);
        let cuMemAllocAsync = __library.get(b"cuMemAllocAsync\0").map(|sym| *sym);
        let cuMemPoolTrimTo = __library.get(b"cuMemPoolTrimTo\0").map(|sym| *sym);
        let cuMemPoolSetAttribute = __library.get(b"cuMemPoolSetAttribute\0").map(|sym| *sym);
        let cuMemPoolGetAttribute = __library.get(b"cuMemPoolGetAttribute\0").map(|sym| *sym);
        let cuMemPoolSetAccess = __library.get(b"cuMemPoolSetAccess\0").map(|sym| *sym);
        let cuMemPoolGetAccess = __library.get(b"cuMemPoolGetAccess\0").map(|sym| *sym);
        let cuMemPoolCreate = __library.get(b"cuMemPoolCreate\0").map(|sym| *sym);
        let cuMemPoolDestroy = __library.get(b"cuMemPoolDestroy\0").map(|sym| *sym);
        let cuMemAllocFromPoolAsync = __library.get(b"cuMemAllocFromPoolAsync\0").map(|sym| *sym);
        let cuMemPoolExportToShareableHandle = __library
            .get(b"cuMemPoolExportToShareableHandle\0")
            .map(|sym| *sym);
        let cuMemPoolImportFromShareableHandle = __library
            .get(b"cuMemPoolImportFromShareableHandle\0")
            .map(|sym| *sym);
        let cuMemPoolExportPointer = __library.get(b"cuMemPoolExportPointer\0").map(|sym| *sym);
        let cuMemPoolImportPointer = __library.get(b"cuMemPoolImportPointer\0").map(|sym| *sym);
        let cuPointerGetAttribute = __library.get(b"cuPointerGetAttribute\0").map(|sym| *sym);
        let cuMemPrefetchAsync = __library.get(b"cuMemPrefetchAsync\0").map(|sym| *sym);
        let cuMemAdvise = __library.get(b"cuMemAdvise\0").map(|sym| *sym);
        let cuMemRangeGetAttribute = __library.get(b"cuMemRangeGetAttribute\0").map(|sym| *sym);
        let cuMemRangeGetAttributes = __library.get(b"cuMemRangeGetAttributes\0").map(|sym| *sym);
        let cuPointerSetAttribute = __library.get(b"cuPointerSetAttribute\0").map(|sym| *sym);
        let cuPointerGetAttributes = __library.get(b"cuPointerGetAttributes\0").map(|sym| *sym);
        let cuStreamCreate = __library.get(b"cuStreamCreate\0").map(|sym| *sym);
        let cuStreamCreateWithPriority = __library
            .get(b"cuStreamCreateWithPriority\0")
            .map(|sym| *sym);
        let cuStreamGetPriority = __library.get(b"cuStreamGetPriority\0").map(|sym| *sym);
        let cuStreamGetFlags = __library.get(b"cuStreamGetFlags\0").map(|sym| *sym);
        let cuStreamGetId = __library.get(b"cuStreamGetId\0").map(|sym| *sym);
        let cuStreamGetCtx = __library.get(b"cuStreamGetCtx\0").map(|sym| *sym);
        let cuStreamWaitEvent = __library.get(b"cuStreamWaitEvent\0").map(|sym| *sym);
        let cuStreamAddCallback = __library.get(b"cuStreamAddCallback\0").map(|sym| *sym);
        let cuStreamBeginCapture_v2 = __library.get(b"cuStreamBeginCapture_v2\0").map(|sym| *sym);
        let cuThreadExchangeStreamCaptureMode = __library
            .get(b"cuThreadExchangeStreamCaptureMode\0")
            .map(|sym| *sym);
        let cuStreamEndCapture = __library.get(b"cuStreamEndCapture\0").map(|sym| *sym);
        let cuStreamIsCapturing = __library.get(b"cuStreamIsCapturing\0").map(|sym| *sym);
        let cuStreamGetCaptureInfo_v2 = __library
            .get(b"cuStreamGetCaptureInfo_v2\0")
            .map(|sym| *sym);
        let cuStreamUpdateCaptureDependencies = __library
            .get(b"cuStreamUpdateCaptureDependencies\0")
            .map(|sym| *sym);
        let cuStreamAttachMemAsync = __library.get(b"cuStreamAttachMemAsync\0").map(|sym| *sym);
        let cuStreamQuery = __library.get(b"cuStreamQuery\0").map(|sym| *sym);
        let cuStreamSynchronize = __library.get(b"cuStreamSynchronize\0").map(|sym| *sym);
        let cuStreamDestroy_v2 = __library.get(b"cuStreamDestroy_v2\0").map(|sym| *sym);
        let cuStreamCopyAttributes = __library.get(b"cuStreamCopyAttributes\0").map(|sym| *sym);
        let cuStreamGetAttribute = __library.get(b"cuStreamGetAttribute\0").map(|sym| *sym);
        let cuStreamSetAttribute = __library.get(b"cuStreamSetAttribute\0").map(|sym| *sym);
        let cuEventCreate = __library.get(b"cuEventCreate\0").map(|sym| *sym);
        let cuEventRecord = __library.get(b"cuEventRecord\0").map(|sym| *sym);
        let cuEventRecordWithFlags = __library.get(b"cuEventRecordWithFlags\0").map(|sym| *sym);
        let cuEventQuery = __library.get(b"cuEventQuery\0").map(|sym| *sym);
        let cuEventSynchronize = __library.get(b"cuEventSynchronize\0").map(|sym| *sym);
        let cuEventDestroy_v2 = __library.get(b"cuEventDestroy_v2\0").map(|sym| *sym);
        let cuEventElapsedTime = __library.get(b"cuEventElapsedTime\0").map(|sym| *sym);
        let cuImportExternalMemory = __library.get(b"cuImportExternalMemory\0").map(|sym| *sym);
        let cuExternalMemoryGetMappedBuffer = __library
            .get(b"cuExternalMemoryGetMappedBuffer\0")
            .map(|sym| *sym);
        let cuExternalMemoryGetMappedMipmappedArray = __library
            .get(b"cuExternalMemoryGetMappedMipmappedArray\0")
            .map(|sym| *sym);
        let cuDestroyExternalMemory = __library.get(b"cuDestroyExternalMemory\0").map(|sym| *sym);
        let cuImportExternalSemaphore = __library
            .get(b"cuImportExternalSemaphore\0")
            .map(|sym| *sym);
        let cuSignalExternalSemaphoresAsync = __library
            .get(b"cuSignalExternalSemaphoresAsync\0")
            .map(|sym| *sym);
        let cuWaitExternalSemaphoresAsync = __library
            .get(b"cuWaitExternalSemaphoresAsync\0")
            .map(|sym| *sym);
        let cuDestroyExternalSemaphore = __library
            .get(b"cuDestroyExternalSemaphore\0")
            .map(|sym| *sym);
        let cuStreamWaitValue32_v2 = __library.get(b"cuStreamWaitValue32_v2\0").map(|sym| *sym);
        let cuStreamWaitValue64_v2 = __library.get(b"cuStreamWaitValue64_v2\0").map(|sym| *sym);
        let cuStreamWriteValue32_v2 = __library.get(b"cuStreamWriteValue32_v2\0").map(|sym| *sym);
        let cuStreamWriteValue64_v2 = __library.get(b"cuStreamWriteValue64_v2\0").map(|sym| *sym);
        let cuStreamBatchMemOp_v2 = __library.get(b"cuStreamBatchMemOp_v2\0").map(|sym| *sym);
        let cuFuncGetAttribute = __library.get(b"cuFuncGetAttribute\0").map(|sym| *sym);
        let cuFuncSetAttribute = __library.get(b"cuFuncSetAttribute\0").map(|sym| *sym);
        let cuFuncSetCacheConfig = __library.get(b"cuFuncSetCacheConfig\0").map(|sym| *sym);
        let cuFuncSetSharedMemConfig = __library.get(b"cuFuncSetSharedMemConfig\0").map(|sym| *sym);
        let cuFuncGetModule = __library.get(b"cuFuncGetModule\0").map(|sym| *sym);
        let cuLaunchKernel = __library.get(b"cuLaunchKernel\0").map(|sym| *sym);
        let cuLaunchKernelEx = __library.get(b"cuLaunchKernelEx\0").map(|sym| *sym);
        let cuLaunchCooperativeKernel = __library
            .get(b"cuLaunchCooperativeKernel\0")
            .map(|sym| *sym);
        let cuLaunchCooperativeKernelMultiDevice = __library
            .get(b"cuLaunchCooperativeKernelMultiDevice\0")
            .map(|sym| *sym);
        let cuLaunchHostFunc = __library.get(b"cuLaunchHostFunc\0").map(|sym| *sym);
        let cuFuncSetBlockShape = __library.get(b"cuFuncSetBlockShape\0").map(|sym| *sym);
        let cuFuncSetSharedSize = __library.get(b"cuFuncSetSharedSize\0").map(|sym| *sym);
        let cuParamSetSize = __library.get(b"cuParamSetSize\0").map(|sym| *sym);
        let cuParamSeti = __library.get(b"cuParamSeti\0").map(|sym| *sym);
        let cuParamSetf = __library.get(b"cuParamSetf\0").map(|sym| *sym);
        let cuParamSetv = __library.get(b"cuParamSetv\0").map(|sym| *sym);
        let cuLaunch = __library.get(b"cuLaunch\0").map(|sym| *sym);
        let cuLaunchGrid = __library.get(b"cuLaunchGrid\0").map(|sym| *sym);
        let cuLaunchGridAsync = __library.get(b"cuLaunchGridAsync\0").map(|sym| *sym);
        let cuParamSetTexRef = __library.get(b"cuParamSetTexRef\0").map(|sym| *sym);
        let cuGraphCreate = __library.get(b"cuGraphCreate\0").map(|sym| *sym);
        let cuGraphAddKernelNode_v2 = __library.get(b"cuGraphAddKernelNode_v2\0").map(|sym| *sym);
        let cuGraphKernelNodeGetParams_v2 = __library
            .get(b"cuGraphKernelNodeGetParams_v2\0")
            .map(|sym| *sym);
        let cuGraphKernelNodeSetParams_v2 = __library
            .get(b"cuGraphKernelNodeSetParams_v2\0")
            .map(|sym| *sym);
        let cuGraphAddMemcpyNode = __library.get(b"cuGraphAddMemcpyNode\0").map(|sym| *sym);
        let cuGraphMemcpyNodeGetParams = __library
            .get(b"cuGraphMemcpyNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphMemcpyNodeSetParams = __library
            .get(b"cuGraphMemcpyNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphAddMemsetNode = __library.get(b"cuGraphAddMemsetNode\0").map(|sym| *sym);
        let cuGraphMemsetNodeGetParams = __library
            .get(b"cuGraphMemsetNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphMemsetNodeSetParams = __library
            .get(b"cuGraphMemsetNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphAddHostNode = __library.get(b"cuGraphAddHostNode\0").map(|sym| *sym);
        let cuGraphHostNodeGetParams = __library.get(b"cuGraphHostNodeGetParams\0").map(|sym| *sym);
        let cuGraphHostNodeSetParams = __library.get(b"cuGraphHostNodeSetParams\0").map(|sym| *sym);
        let cuGraphAddChildGraphNode = __library.get(b"cuGraphAddChildGraphNode\0").map(|sym| *sym);
        let cuGraphChildGraphNodeGetGraph = __library
            .get(b"cuGraphChildGraphNodeGetGraph\0")
            .map(|sym| *sym);
        let cuGraphAddEmptyNode = __library.get(b"cuGraphAddEmptyNode\0").map(|sym| *sym);
        let cuGraphAddEventRecordNode = __library
            .get(b"cuGraphAddEventRecordNode\0")
            .map(|sym| *sym);
        let cuGraphEventRecordNodeGetEvent = __library
            .get(b"cuGraphEventRecordNodeGetEvent\0")
            .map(|sym| *sym);
        let cuGraphEventRecordNodeSetEvent = __library
            .get(b"cuGraphEventRecordNodeSetEvent\0")
            .map(|sym| *sym);
        let cuGraphAddEventWaitNode = __library.get(b"cuGraphAddEventWaitNode\0").map(|sym| *sym);
        let cuGraphEventWaitNodeGetEvent = __library
            .get(b"cuGraphEventWaitNodeGetEvent\0")
            .map(|sym| *sym);
        let cuGraphEventWaitNodeSetEvent = __library
            .get(b"cuGraphEventWaitNodeSetEvent\0")
            .map(|sym| *sym);
        let cuGraphAddExternalSemaphoresSignalNode = __library
            .get(b"cuGraphAddExternalSemaphoresSignalNode\0")
            .map(|sym| *sym);
        let cuGraphExternalSemaphoresSignalNodeGetParams = __library
            .get(b"cuGraphExternalSemaphoresSignalNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphExternalSemaphoresSignalNodeSetParams = __library
            .get(b"cuGraphExternalSemaphoresSignalNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphAddExternalSemaphoresWaitNode = __library
            .get(b"cuGraphAddExternalSemaphoresWaitNode\0")
            .map(|sym| *sym);
        let cuGraphExternalSemaphoresWaitNodeGetParams = __library
            .get(b"cuGraphExternalSemaphoresWaitNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphExternalSemaphoresWaitNodeSetParams = __library
            .get(b"cuGraphExternalSemaphoresWaitNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphAddBatchMemOpNode = __library.get(b"cuGraphAddBatchMemOpNode\0").map(|sym| *sym);
        let cuGraphBatchMemOpNodeGetParams = __library
            .get(b"cuGraphBatchMemOpNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphBatchMemOpNodeSetParams = __library
            .get(b"cuGraphBatchMemOpNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecBatchMemOpNodeSetParams = __library
            .get(b"cuGraphExecBatchMemOpNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphAddMemAllocNode = __library.get(b"cuGraphAddMemAllocNode\0").map(|sym| *sym);
        let cuGraphMemAllocNodeGetParams = __library
            .get(b"cuGraphMemAllocNodeGetParams\0")
            .map(|sym| *sym);
        let cuGraphAddMemFreeNode = __library.get(b"cuGraphAddMemFreeNode\0").map(|sym| *sym);
        let cuGraphMemFreeNodeGetParams = __library
            .get(b"cuGraphMemFreeNodeGetParams\0")
            .map(|sym| *sym);
        let cuDeviceGraphMemTrim = __library.get(b"cuDeviceGraphMemTrim\0").map(|sym| *sym);
        let cuDeviceGetGraphMemAttribute = __library
            .get(b"cuDeviceGetGraphMemAttribute\0")
            .map(|sym| *sym);
        let cuDeviceSetGraphMemAttribute = __library
            .get(b"cuDeviceSetGraphMemAttribute\0")
            .map(|sym| *sym);
        let cuGraphClone = __library.get(b"cuGraphClone\0").map(|sym| *sym);
        let cuGraphNodeFindInClone = __library.get(b"cuGraphNodeFindInClone\0").map(|sym| *sym);
        let cuGraphNodeGetType = __library.get(b"cuGraphNodeGetType\0").map(|sym| *sym);
        let cuGraphGetNodes = __library.get(b"cuGraphGetNodes\0").map(|sym| *sym);
        let cuGraphGetRootNodes = __library.get(b"cuGraphGetRootNodes\0").map(|sym| *sym);
        let cuGraphGetEdges = __library.get(b"cuGraphGetEdges\0").map(|sym| *sym);
        let cuGraphNodeGetDependencies = __library
            .get(b"cuGraphNodeGetDependencies\0")
            .map(|sym| *sym);
        let cuGraphNodeGetDependentNodes = __library
            .get(b"cuGraphNodeGetDependentNodes\0")
            .map(|sym| *sym);
        let cuGraphAddDependencies = __library.get(b"cuGraphAddDependencies\0").map(|sym| *sym);
        let cuGraphRemoveDependencies = __library
            .get(b"cuGraphRemoveDependencies\0")
            .map(|sym| *sym);
        let cuGraphDestroyNode = __library.get(b"cuGraphDestroyNode\0").map(|sym| *sym);
        let cuGraphInstantiateWithFlags = __library
            .get(b"cuGraphInstantiateWithFlags\0")
            .map(|sym| *sym);
        let cuGraphInstantiateWithParams = __library
            .get(b"cuGraphInstantiateWithParams\0")
            .map(|sym| *sym);
        let cuGraphExecGetFlags = __library.get(b"cuGraphExecGetFlags\0").map(|sym| *sym);
        let cuGraphExecKernelNodeSetParams_v2 = __library
            .get(b"cuGraphExecKernelNodeSetParams_v2\0")
            .map(|sym| *sym);
        let cuGraphExecMemcpyNodeSetParams = __library
            .get(b"cuGraphExecMemcpyNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecMemsetNodeSetParams = __library
            .get(b"cuGraphExecMemsetNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecHostNodeSetParams = __library
            .get(b"cuGraphExecHostNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecChildGraphNodeSetParams = __library
            .get(b"cuGraphExecChildGraphNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecEventRecordNodeSetEvent = __library
            .get(b"cuGraphExecEventRecordNodeSetEvent\0")
            .map(|sym| *sym);
        let cuGraphExecEventWaitNodeSetEvent = __library
            .get(b"cuGraphExecEventWaitNodeSetEvent\0")
            .map(|sym| *sym);
        let cuGraphExecExternalSemaphoresSignalNodeSetParams = __library
            .get(b"cuGraphExecExternalSemaphoresSignalNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphExecExternalSemaphoresWaitNodeSetParams = __library
            .get(b"cuGraphExecExternalSemaphoresWaitNodeSetParams\0")
            .map(|sym| *sym);
        let cuGraphNodeSetEnabled = __library.get(b"cuGraphNodeSetEnabled\0").map(|sym| *sym);
        let cuGraphNodeGetEnabled = __library.get(b"cuGraphNodeGetEnabled\0").map(|sym| *sym);
        let cuGraphUpload = __library.get(b"cuGraphUpload\0").map(|sym| *sym);
        let cuGraphLaunch = __library.get(b"cuGraphLaunch\0").map(|sym| *sym);
        let cuGraphExecDestroy = __library.get(b"cuGraphExecDestroy\0").map(|sym| *sym);
        let cuGraphDestroy = __library.get(b"cuGraphDestroy\0").map(|sym| *sym);
        let cuGraphExecUpdate_v2 = __library.get(b"cuGraphExecUpdate_v2\0").map(|sym| *sym);
        let cuGraphKernelNodeCopyAttributes = __library
            .get(b"cuGraphKernelNodeCopyAttributes\0")
            .map(|sym| *sym);
        let cuGraphKernelNodeGetAttribute = __library
            .get(b"cuGraphKernelNodeGetAttribute\0")
            .map(|sym| *sym);
        let cuGraphKernelNodeSetAttribute = __library
            .get(b"cuGraphKernelNodeSetAttribute\0")
            .map(|sym| *sym);
        let cuGraphDebugDotPrint = __library.get(b"cuGraphDebugDotPrint\0").map(|sym| *sym);
        let cuUserObjectCreate = __library.get(b"cuUserObjectCreate\0").map(|sym| *sym);
        let cuUserObjectRetain = __library.get(b"cuUserObjectRetain\0").map(|sym| *sym);
        let cuUserObjectRelease = __library.get(b"cuUserObjectRelease\0").map(|sym| *sym);
        let cuGraphRetainUserObject = __library.get(b"cuGraphRetainUserObject\0").map(|sym| *sym);
        let cuGraphReleaseUserObject = __library.get(b"cuGraphReleaseUserObject\0").map(|sym| *sym);
        let cuOccupancyMaxActiveBlocksPerMultiprocessor = __library
            .get(b"cuOccupancyMaxActiveBlocksPerMultiprocessor\0")
            .map(|sym| *sym);
        let cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags = __library
            .get(b"cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags\0")
            .map(|sym| *sym);
        let cuOccupancyMaxPotentialBlockSize = __library
            .get(b"cuOccupancyMaxPotentialBlockSize\0")
            .map(|sym| *sym);
        let cuOccupancyMaxPotentialBlockSizeWithFlags = __library
            .get(b"cuOccupancyMaxPotentialBlockSizeWithFlags\0")
            .map(|sym| *sym);
        let cuOccupancyAvailableDynamicSMemPerBlock = __library
            .get(b"cuOccupancyAvailableDynamicSMemPerBlock\0")
            .map(|sym| *sym);
        let cuOccupancyMaxPotentialClusterSize = __library
            .get(b"cuOccupancyMaxPotentialClusterSize\0")
            .map(|sym| *sym);
        let cuOccupancyMaxActiveClusters = __library
            .get(b"cuOccupancyMaxActiveClusters\0")
            .map(|sym| *sym);
        let cuTexRefSetArray = __library.get(b"cuTexRefSetArray\0").map(|sym| *sym);
        let cuTexRefSetMipmappedArray = __library
            .get(b"cuTexRefSetMipmappedArray\0")
            .map(|sym| *sym);
        let cuTexRefSetAddress_v2 = __library.get(b"cuTexRefSetAddress_v2\0").map(|sym| *sym);
        let cuTexRefSetAddress2D_v3 = __library.get(b"cuTexRefSetAddress2D_v3\0").map(|sym| *sym);
        let cuTexRefSetFormat = __library.get(b"cuTexRefSetFormat\0").map(|sym| *sym);
        let cuTexRefSetAddressMode = __library.get(b"cuTexRefSetAddressMode\0").map(|sym| *sym);
        let cuTexRefSetFilterMode = __library.get(b"cuTexRefSetFilterMode\0").map(|sym| *sym);
        let cuTexRefSetMipmapFilterMode = __library
            .get(b"cuTexRefSetMipmapFilterMode\0")
            .map(|sym| *sym);
        let cuTexRefSetMipmapLevelBias = __library
            .get(b"cuTexRefSetMipmapLevelBias\0")
            .map(|sym| *sym);
        let cuTexRefSetMipmapLevelClamp = __library
            .get(b"cuTexRefSetMipmapLevelClamp\0")
            .map(|sym| *sym);
        let cuTexRefSetMaxAnisotropy = __library.get(b"cuTexRefSetMaxAnisotropy\0").map(|sym| *sym);
        let cuTexRefSetBorderColor = __library.get(b"cuTexRefSetBorderColor\0").map(|sym| *sym);
        let cuTexRefSetFlags = __library.get(b"cuTexRefSetFlags\0").map(|sym| *sym);
        let cuTexRefGetAddress_v2 = __library.get(b"cuTexRefGetAddress_v2\0").map(|sym| *sym);
        let cuTexRefGetArray = __library.get(b"cuTexRefGetArray\0").map(|sym| *sym);
        let cuTexRefGetMipmappedArray = __library
            .get(b"cuTexRefGetMipmappedArray\0")
            .map(|sym| *sym);
        let cuTexRefGetAddressMode = __library.get(b"cuTexRefGetAddressMode\0").map(|sym| *sym);
        let cuTexRefGetFilterMode = __library.get(b"cuTexRefGetFilterMode\0").map(|sym| *sym);
        let cuTexRefGetFormat = __library.get(b"cuTexRefGetFormat\0").map(|sym| *sym);
        let cuTexRefGetMipmapFilterMode = __library
            .get(b"cuTexRefGetMipmapFilterMode\0")
            .map(|sym| *sym);
        let cuTexRefGetMipmapLevelBias = __library
            .get(b"cuTexRefGetMipmapLevelBias\0")
            .map(|sym| *sym);
        let cuTexRefGetMipmapLevelClamp = __library
            .get(b"cuTexRefGetMipmapLevelClamp\0")
            .map(|sym| *sym);
        let cuTexRefGetMaxAnisotropy = __library.get(b"cuTexRefGetMaxAnisotropy\0").map(|sym| *sym);
        let cuTexRefGetBorderColor = __library.get(b"cuTexRefGetBorderColor\0").map(|sym| *sym);
        let cuTexRefGetFlags = __library.get(b"cuTexRefGetFlags\0").map(|sym| *sym);
        let cuTexRefCreate = __library.get(b"cuTexRefCreate\0").map(|sym| *sym);
        let cuTexRefDestroy = __library.get(b"cuTexRefDestroy\0").map(|sym| *sym);
        let cuSurfRefSetArray = __library.get(b"cuSurfRefSetArray\0").map(|sym| *sym);
        let cuSurfRefGetArray = __library.get(b"cuSurfRefGetArray\0").map(|sym| *sym);
        let cuTexObjectCreate = __library.get(b"cuTexObjectCreate\0").map(|sym| *sym);
        let cuTexObjectDestroy = __library.get(b"cuTexObjectDestroy\0").map(|sym| *sym);
        let cuTexObjectGetResourceDesc = __library
            .get(b"cuTexObjectGetResourceDesc\0")
            .map(|sym| *sym);
        let cuTexObjectGetTextureDesc = __library
            .get(b"cuTexObjectGetTextureDesc\0")
            .map(|sym| *sym);
        let cuTexObjectGetResourceViewDesc = __library
            .get(b"cuTexObjectGetResourceViewDesc\0")
            .map(|sym| *sym);
        let cuSurfObjectCreate = __library.get(b"cuSurfObjectCreate\0").map(|sym| *sym);
        let cuSurfObjectDestroy = __library.get(b"cuSurfObjectDestroy\0").map(|sym| *sym);
        let cuSurfObjectGetResourceDesc = __library
            .get(b"cuSurfObjectGetResourceDesc\0")
            .map(|sym| *sym);
        let cuTensorMapEncodeTiled = __library.get(b"cuTensorMapEncodeTiled\0").map(|sym| *sym);
        let cuTensorMapEncodeIm2col = __library.get(b"cuTensorMapEncodeIm2col\0").map(|sym| *sym);
        let cuTensorMapReplaceAddress = __library
            .get(b"cuTensorMapReplaceAddress\0")
            .map(|sym| *sym);
        let cuDeviceCanAccessPeer = __library.get(b"cuDeviceCanAccessPeer\0").map(|sym| *sym);
        let cuCtxEnablePeerAccess = __library.get(b"cuCtxEnablePeerAccess\0").map(|sym| *sym);
        let cuCtxDisablePeerAccess = __library.get(b"cuCtxDisablePeerAccess\0").map(|sym| *sym);
        let cuDeviceGetP2PAttribute = __library.get(b"cuDeviceGetP2PAttribute\0").map(|sym| *sym);
        let cuGraphicsUnregisterResource = __library
            .get(b"cuGraphicsUnregisterResource\0")
            .map(|sym| *sym);
        let cuGraphicsSubResourceGetMappedArray = __library
            .get(b"cuGraphicsSubResourceGetMappedArray\0")
            .map(|sym| *sym);
        let cuGraphicsResourceGetMappedMipmappedArray = __library
            .get(b"cuGraphicsResourceGetMappedMipmappedArray\0")
            .map(|sym| *sym);
        let cuGraphicsResourceGetMappedPointer_v2 = __library
            .get(b"cuGraphicsResourceGetMappedPointer_v2\0")
            .map(|sym| *sym);
        let cuGraphicsResourceSetMapFlags_v2 = __library
            .get(b"cuGraphicsResourceSetMapFlags_v2\0")
            .map(|sym| *sym);
        let cuGraphicsMapResources = __library.get(b"cuGraphicsMapResources\0").map(|sym| *sym);
        let cuGraphicsUnmapResources = __library.get(b"cuGraphicsUnmapResources\0").map(|sym| *sym);
        let cuGetProcAddress_v2 = __library.get(b"cuGetProcAddress_v2\0").map(|sym| *sym);
        let cuGetExportTable = __library.get(b"cuGetExportTable\0").map(|sym| *sym);
        Ok(cuda {
            __library,
            cuGetErrorString,
            cuGetErrorName,
            cuInit,
            cuDriverGetVersion,
            cuDeviceGet,
            cuDeviceGetCount,
            cuDeviceGetName,
            cuDeviceGetUuid,
            cuDeviceGetUuid_v2,
            cuDeviceGetLuid,
            cuDeviceTotalMem_v2,
            cuDeviceGetTexture1DLinearMaxWidth,
            cuDeviceGetAttribute,
            cuDeviceGetNvSciSyncAttributes,
            cuDeviceSetMemPool,
            cuDeviceGetMemPool,
            cuDeviceGetDefaultMemPool,
            cuDeviceGetExecAffinitySupport,
            cuFlushGPUDirectRDMAWrites,
            cuDeviceGetProperties,
            cuDeviceComputeCapability,
            cuDevicePrimaryCtxRetain,
            cuDevicePrimaryCtxRelease_v2,
            cuDevicePrimaryCtxSetFlags_v2,
            cuDevicePrimaryCtxGetState,
            cuDevicePrimaryCtxReset_v2,
            cuCtxCreate_v2,
            cuCtxCreate_v3,
            cuCtxDestroy_v2,
            cuCtxPushCurrent_v2,
            cuCtxPopCurrent_v2,
            cuCtxSetCurrent,
            cuCtxGetCurrent,
            cuCtxGetDevice,
            cuCtxGetFlags,
            cuCtxGetId,
            cuCtxSynchronize,
            cuCtxSetLimit,
            cuCtxGetLimit,
            cuCtxGetCacheConfig,
            cuCtxSetCacheConfig,
            cuCtxGetSharedMemConfig,
            cuCtxSetSharedMemConfig,
            cuCtxGetApiVersion,
            cuCtxGetStreamPriorityRange,
            cuCtxResetPersistingL2Cache,
            cuCtxGetExecAffinity,
            cuCtxAttach,
            cuCtxDetach,
            cuModuleLoad,
            cuModuleLoadData,
            cuModuleLoadDataEx,
            cuModuleLoadFatBinary,
            cuModuleUnload,
            cuModuleGetLoadingMode,
            cuModuleGetFunction,
            cuModuleGetGlobal_v2,
            cuLinkCreate_v2,
            cuLinkAddData_v2,
            cuLinkAddFile_v2,
            cuLinkComplete,
            cuLinkDestroy,
            cuModuleGetTexRef,
            cuModuleGetSurfRef,
            cuLibraryLoadData,
            cuLibraryLoadFromFile,
            cuLibraryUnload,
            cuLibraryGetKernel,
            cuLibraryGetModule,
            cuKernelGetFunction,
            cuLibraryGetGlobal,
            cuLibraryGetManaged,
            cuLibraryGetUnifiedFunction,
            cuKernelGetAttribute,
            cuKernelSetAttribute,
            cuKernelSetCacheConfig,
            cuMemGetInfo_v2,
            cuMemAlloc_v2,
            cuMemAllocPitch_v2,
            cuMemFree_v2,
            cuMemGetAddressRange_v2,
            cuMemAllocHost_v2,
            cuMemFreeHost,
            cuMemHostAlloc,
            cuMemHostGetDevicePointer_v2,
            cuMemHostGetFlags,
            cuMemAllocManaged,
            cuDeviceGetByPCIBusId,
            cuDeviceGetPCIBusId,
            cuIpcGetEventHandle,
            cuIpcOpenEventHandle,
            cuIpcGetMemHandle,
            cuIpcOpenMemHandle_v2,
            cuIpcCloseMemHandle,
            cuMemHostRegister_v2,
            cuMemHostUnregister,
            cuMemcpy,
            cuMemcpyPeer,
            cuMemcpyHtoD_v2,
            cuMemcpyDtoH_v2,
            cuMemcpyDtoD_v2,
            cuMemcpyDtoA_v2,
            cuMemcpyAtoD_v2,
            cuMemcpyHtoA_v2,
            cuMemcpyAtoH_v2,
            cuMemcpyAtoA_v2,
            cuMemcpy2D_v2,
            cuMemcpy2DUnaligned_v2,
            cuMemcpy3D_v2,
            cuMemcpy3DPeer,
            cuMemcpyAsync,
            cuMemcpyPeerAsync,
            cuMemcpyHtoDAsync_v2,
            cuMemcpyDtoHAsync_v2,
            cuMemcpyDtoDAsync_v2,
            cuMemcpyHtoAAsync_v2,
            cuMemcpyAtoHAsync_v2,
            cuMemcpy2DAsync_v2,
            cuMemcpy3DAsync_v2,
            cuMemcpy3DPeerAsync,
            cuMemsetD8_v2,
            cuMemsetD16_v2,
            cuMemsetD32_v2,
            cuMemsetD2D8_v2,
            cuMemsetD2D16_v2,
            cuMemsetD2D32_v2,
            cuMemsetD8Async,
            cuMemsetD16Async,
            cuMemsetD32Async,
            cuMemsetD2D8Async,
            cuMemsetD2D16Async,
            cuMemsetD2D32Async,
            cuArrayCreate_v2,
            cuArrayGetDescriptor_v2,
            cuArrayGetSparseProperties,
            cuMipmappedArrayGetSparseProperties,
            cuArrayGetMemoryRequirements,
            cuMipmappedArrayGetMemoryRequirements,
            cuArrayGetPlane,
            cuArrayDestroy,
            cuArray3DCreate_v2,
            cuArray3DGetDescriptor_v2,
            cuMipmappedArrayCreate,
            cuMipmappedArrayGetLevel,
            cuMipmappedArrayDestroy,
            cuMemGetHandleForAddressRange,
            cuMemAddressReserve,
            cuMemAddressFree,
            cuMemCreate,
            cuMemRelease,
            cuMemMap,
            cuMemMapArrayAsync,
            cuMemUnmap,
            cuMemSetAccess,
            cuMemGetAccess,
            cuMemExportToShareableHandle,
            cuMemImportFromShareableHandle,
            cuMemGetAllocationGranularity,
            cuMemGetAllocationPropertiesFromHandle,
            cuMemRetainAllocationHandle,
            cuMemFreeAsync,
            cuMemAllocAsync,
            cuMemPoolTrimTo,
            cuMemPoolSetAttribute,
            cuMemPoolGetAttribute,
            cuMemPoolSetAccess,
            cuMemPoolGetAccess,
            cuMemPoolCreate,
            cuMemPoolDestroy,
            cuMemAllocFromPoolAsync,
            cuMemPoolExportToShareableHandle,
            cuMemPoolImportFromShareableHandle,
            cuMemPoolExportPointer,
            cuMemPoolImportPointer,
            cuPointerGetAttribute,
            cuMemPrefetchAsync,
            cuMemAdvise,
            cuMemRangeGetAttribute,
            cuMemRangeGetAttributes,
            cuPointerSetAttribute,
            cuPointerGetAttributes,
            cuStreamCreate,
            cuStreamCreateWithPriority,
            cuStreamGetPriority,
            cuStreamGetFlags,
            cuStreamGetId,
            cuStreamGetCtx,
            cuStreamWaitEvent,
            cuStreamAddCallback,
            cuStreamBeginCapture_v2,
            cuThreadExchangeStreamCaptureMode,
            cuStreamEndCapture,
            cuStreamIsCapturing,
            cuStreamGetCaptureInfo_v2,
            cuStreamUpdateCaptureDependencies,
            cuStreamAttachMemAsync,
            cuStreamQuery,
            cuStreamSynchronize,
            cuStreamDestroy_v2,
            cuStreamCopyAttributes,
            cuStreamGetAttribute,
            cuStreamSetAttribute,
            cuEventCreate,
            cuEventRecord,
            cuEventRecordWithFlags,
            cuEventQuery,
            cuEventSynchronize,
            cuEventDestroy_v2,
            cuEventElapsedTime,
            cuImportExternalMemory,
            cuExternalMemoryGetMappedBuffer,
            cuExternalMemoryGetMappedMipmappedArray,
            cuDestroyExternalMemory,
            cuImportExternalSemaphore,
            cuSignalExternalSemaphoresAsync,
            cuWaitExternalSemaphoresAsync,
            cuDestroyExternalSemaphore,
            cuStreamWaitValue32_v2,
            cuStreamWaitValue64_v2,
            cuStreamWriteValue32_v2,
            cuStreamWriteValue64_v2,
            cuStreamBatchMemOp_v2,
            cuFuncGetAttribute,
            cuFuncSetAttribute,
            cuFuncSetCacheConfig,
            cuFuncSetSharedMemConfig,
            cuFuncGetModule,
            cuLaunchKernel,
            cuLaunchKernelEx,
            cuLaunchCooperativeKernel,
            cuLaunchCooperativeKernelMultiDevice,
            cuLaunchHostFunc,
            cuFuncSetBlockShape,
            cuFuncSetSharedSize,
            cuParamSetSize,
            cuParamSeti,
            cuParamSetf,
            cuParamSetv,
            cuLaunch,
            cuLaunchGrid,
            cuLaunchGridAsync,
            cuParamSetTexRef,
            cuGraphCreate,
            cuGraphAddKernelNode_v2,
            cuGraphKernelNodeGetParams_v2,
            cuGraphKernelNodeSetParams_v2,
            cuGraphAddMemcpyNode,
            cuGraphMemcpyNodeGetParams,
            cuGraphMemcpyNodeSetParams,
            cuGraphAddMemsetNode,
            cuGraphMemsetNodeGetParams,
            cuGraphMemsetNodeSetParams,
            cuGraphAddHostNode,
            cuGraphHostNodeGetParams,
            cuGraphHostNodeSetParams,
            cuGraphAddChildGraphNode,
            cuGraphChildGraphNodeGetGraph,
            cuGraphAddEmptyNode,
            cuGraphAddEventRecordNode,
            cuGraphEventRecordNodeGetEvent,
            cuGraphEventRecordNodeSetEvent,
            cuGraphAddEventWaitNode,
            cuGraphEventWaitNodeGetEvent,
            cuGraphEventWaitNodeSetEvent,
            cuGraphAddExternalSemaphoresSignalNode,
            cuGraphExternalSemaphoresSignalNodeGetParams,
            cuGraphExternalSemaphoresSignalNodeSetParams,
            cuGraphAddExternalSemaphoresWaitNode,
            cuGraphExternalSemaphoresWaitNodeGetParams,
            cuGraphExternalSemaphoresWaitNodeSetParams,
            cuGraphAddBatchMemOpNode,
            cuGraphBatchMemOpNodeGetParams,
            cuGraphBatchMemOpNodeSetParams,
            cuGraphExecBatchMemOpNodeSetParams,
            cuGraphAddMemAllocNode,
            cuGraphMemAllocNodeGetParams,
            cuGraphAddMemFreeNode,
            cuGraphMemFreeNodeGetParams,
            cuDeviceGraphMemTrim,
            cuDeviceGetGraphMemAttribute,
            cuDeviceSetGraphMemAttribute,
            cuGraphClone,
            cuGraphNodeFindInClone,
            cuGraphNodeGetType,
            cuGraphGetNodes,
            cuGraphGetRootNodes,
            cuGraphGetEdges,
            cuGraphNodeGetDependencies,
            cuGraphNodeGetDependentNodes,
            cuGraphAddDependencies,
            cuGraphRemoveDependencies,
            cuGraphDestroyNode,
            cuGraphInstantiateWithFlags,
            cuGraphInstantiateWithParams,
            cuGraphExecGetFlags,
            cuGraphExecKernelNodeSetParams_v2,
            cuGraphExecMemcpyNodeSetParams,
            cuGraphExecMemsetNodeSetParams,
            cuGraphExecHostNodeSetParams,
            cuGraphExecChildGraphNodeSetParams,
            cuGraphExecEventRecordNodeSetEvent,
            cuGraphExecEventWaitNodeSetEvent,
            cuGraphExecExternalSemaphoresSignalNodeSetParams,
            cuGraphExecExternalSemaphoresWaitNodeSetParams,
            cuGraphNodeSetEnabled,
            cuGraphNodeGetEnabled,
            cuGraphUpload,
            cuGraphLaunch,
            cuGraphExecDestroy,
            cuGraphDestroy,
            cuGraphExecUpdate_v2,
            cuGraphKernelNodeCopyAttributes,
            cuGraphKernelNodeGetAttribute,
            cuGraphKernelNodeSetAttribute,
            cuGraphDebugDotPrint,
            cuUserObjectCreate,
            cuUserObjectRetain,
            cuUserObjectRelease,
            cuGraphRetainUserObject,
            cuGraphReleaseUserObject,
            cuOccupancyMaxActiveBlocksPerMultiprocessor,
            cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags,
            cuOccupancyMaxPotentialBlockSize,
            cuOccupancyMaxPotentialBlockSizeWithFlags,
            cuOccupancyAvailableDynamicSMemPerBlock,
            cuOccupancyMaxPotentialClusterSize,
            cuOccupancyMaxActiveClusters,
            cuTexRefSetArray,
            cuTexRefSetMipmappedArray,
            cuTexRefSetAddress_v2,
            cuTexRefSetAddress2D_v3,
            cuTexRefSetFormat,
            cuTexRefSetAddressMode,
            cuTexRefSetFilterMode,
            cuTexRefSetMipmapFilterMode,
            cuTexRefSetMipmapLevelBias,
            cuTexRefSetMipmapLevelClamp,
            cuTexRefSetMaxAnisotropy,
            cuTexRefSetBorderColor,
            cuTexRefSetFlags,
            cuTexRefGetAddress_v2,
            cuTexRefGetArray,
            cuTexRefGetMipmappedArray,
            cuTexRefGetAddressMode,
            cuTexRefGetFilterMode,
            cuTexRefGetFormat,
            cuTexRefGetMipmapFilterMode,
            cuTexRefGetMipmapLevelBias,
            cuTexRefGetMipmapLevelClamp,
            cuTexRefGetMaxAnisotropy,
            cuTexRefGetBorderColor,
            cuTexRefGetFlags,
            cuTexRefCreate,
            cuTexRefDestroy,
            cuSurfRefSetArray,
            cuSurfRefGetArray,
            cuTexObjectCreate,
            cuTexObjectDestroy,
            cuTexObjectGetResourceDesc,
            cuTexObjectGetTextureDesc,
            cuTexObjectGetResourceViewDesc,
            cuSurfObjectCreate,
            cuSurfObjectDestroy,
            cuSurfObjectGetResourceDesc,
            cuTensorMapEncodeTiled,
            cuTensorMapEncodeIm2col,
            cuTensorMapReplaceAddress,
            cuDeviceCanAccessPeer,
            cuCtxEnablePeerAccess,
            cuCtxDisablePeerAccess,
            cuDeviceGetP2PAttribute,
            cuGraphicsUnregisterResource,
            cuGraphicsSubResourceGetMappedArray,
            cuGraphicsResourceGetMappedMipmappedArray,
            cuGraphicsResourceGetMappedPointer_v2,
            cuGraphicsResourceSetMapFlags_v2,
            cuGraphicsMapResources,
            cuGraphicsUnmapResources,
            cuGetProcAddress_v2,
            cuGetExportTable,
        })
    }
    #[doc = " \\brief Gets the string description of an error code\n\n Sets \\p *pStr to the address of a NULL-terminated string description\n of the error code \\p error.\n If the error code is not recognized, ::CUDA_ERROR_INVALID_VALUE\n will be returned and \\p *pStr will be set to the NULL address.\n\n \\param error - Error code to convert to string\n \\param pStr - Address of the string pointer.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::CUresult,\n ::cudaGetErrorString"]
    pub unsafe fn cuGetErrorString(
        &self,
        error: CUresult,
        pStr: *mut *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuGetErrorString
            .as_ref()
            .expect("Expected function, got error."))(error, pStr)
    }
    #[doc = " \\brief Gets the string representation of an error code enum name\n\n Sets \\p *pStr to the address of a NULL-terminated string representation\n of the name of the enum error code \\p error.\n If the error code is not recognized, ::CUDA_ERROR_INVALID_VALUE\n will be returned and \\p *pStr will be set to the NULL address.\n\n \\param error - Error code to convert to string\n \\param pStr - Address of the string pointer.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::CUresult,\n ::cudaGetErrorName"]
    pub unsafe fn cuGetErrorName(
        &self,
        error: CUresult,
        pStr: *mut *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuGetErrorName
            .as_ref()
            .expect("Expected function, got error."))(error, pStr)
    }
    #[doc = " \\brief Initialize the CUDA driver API\n Initializes the driver API and must be called before any other function from\n the driver API in the current process. Currently, the \\p Flags parameter must be 0. If ::cuInit()\n has not been called, any function from the driver API will return\n ::CUDA_ERROR_NOT_INITIALIZED.\n\n \\param Flags - Initialization flag for CUDA.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_SYSTEM_DRIVER_MISMATCH,\n ::CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE\n \\notefnerr"]
    pub unsafe fn cuInit(&self, Flags: ::std::os::raw::c_uint) -> CUresult {
        (self.cuInit.as_ref().expect("Expected function, got error."))(Flags)
    }
    #[doc = " \\brief Returns the latest CUDA version supported by driver\n\n Returns in \\p *driverVersion the version of CUDA supported by\n the driver.  The version is returned as\n (1000 &times; major + 10 &times; minor). For example, CUDA 9.2\n would be represented by 9020.\n\n This function automatically returns ::CUDA_ERROR_INVALID_VALUE if\n \\p driverVersion is NULL.\n\n \\param driverVersion - Returns the CUDA driver version\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cudaDriverGetVersion,\n ::cudaRuntimeGetVersion"]
    pub unsafe fn cuDriverGetVersion(&self, driverVersion: *mut ::std::os::raw::c_int) -> CUresult {
        (self
            .cuDriverGetVersion
            .as_ref()
            .expect("Expected function, got error."))(driverVersion)
    }
    #[doc = " \\brief Returns a handle to a compute device\n\n Returns in \\p *device a device handle given an ordinal in the range <b>[0,\n ::cuDeviceGetCount()-1]</b>.\n\n \\param device  - Returned device handle\n \\param ordinal - Device number to get handle for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGetLuid,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport"]
    pub unsafe fn cuDeviceGet(
        &self,
        device: *mut CUdevice,
        ordinal: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuDeviceGet
            .as_ref()
            .expect("Expected function, got error."))(device, ordinal)
    }
    #[doc = " \\brief Returns the number of compute-capable devices\n\n Returns in \\p *count the number of devices with compute capability greater\n than or equal to 2.0 that are available for execution. If there is no such\n device, ::cuDeviceGetCount() returns 0.\n\n \\param count - Returned number of compute-capable devices\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGetLuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport,\n ::cudaGetDeviceCount"]
    pub unsafe fn cuDeviceGetCount(&self, count: *mut ::std::os::raw::c_int) -> CUresult {
        (self
            .cuDeviceGetCount
            .as_ref()
            .expect("Expected function, got error."))(count)
    }
    #[doc = " \\brief Returns an identifer string for the device\n\n Returns an ASCII string identifying the device \\p dev in the NULL-terminated\n string pointed to by \\p name. \\p len specifies the maximum length of the\n string that may be returned.\n\n \\param name - Returned identifier string for the device\n \\param len  - Maximum length of string to store in \\p name\n \\param dev  - Device to get identifier string for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetUuid,\n ::cuDeviceGetLuid,\n ::cuDeviceGetCount,\n ::cuDeviceGet,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport,\n ::cudaGetDeviceProperties"]
    pub unsafe fn cuDeviceGetName(
        &self,
        name: *mut ::std::os::raw::c_char,
        len: ::std::os::raw::c_int,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetName
            .as_ref()
            .expect("Expected function, got error."))(name, len, dev)
    }
    #[doc = " \\brief Return an UUID for the device\n\n Note there is a later version of this API, ::cuDeviceGetUuid_v2. It will\n supplant this version in 12.0, which is retained for minor version compatibility.\n\n Returns 16-octets identifing the device \\p dev in the structure\n pointed by the \\p uuid.\n\n \\param uuid - Returned UUID\n \\param dev  - Device to get identifier string for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetUuid_v2\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetLuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport,\n ::cudaGetDeviceProperties"]
    pub unsafe fn cuDeviceGetUuid(&self, uuid: *mut CUuuid, dev: CUdevice) -> CUresult {
        (self
            .cuDeviceGetUuid
            .as_ref()
            .expect("Expected function, got error."))(uuid, dev)
    }
    pub unsafe fn cuDeviceGetUuid_v2(&self, uuid: *mut CUuuid, dev: CUdevice) -> CUresult {
        (self
            .cuDeviceGetUuid_v2
            .as_ref()
            .expect("Expected function, got error."))(uuid, dev)
    }
    #[doc = " \\brief Return an LUID and device node mask for the device\n\n Return identifying information (\\p luid and \\p deviceNodeMask) to allow\n matching device with graphics APIs.\n\n \\param luid - Returned LUID\n \\param deviceNodeMask - Returned device node mask\n \\param dev  - Device to get identifier string for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGet,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport,\n ::cudaGetDeviceProperties"]
    pub unsafe fn cuDeviceGetLuid(
        &self,
        luid: *mut ::std::os::raw::c_char,
        deviceNodeMask: *mut ::std::os::raw::c_uint,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetLuid
            .as_ref()
            .expect("Expected function, got error."))(luid, deviceNodeMask, dev)
    }
    pub unsafe fn cuDeviceTotalMem_v2(&self, bytes: *mut usize, dev: CUdevice) -> CUresult {
        (self
            .cuDeviceTotalMem_v2
            .as_ref()
            .expect("Expected function, got error."))(bytes, dev)
    }
    #[doc = " \\brief Returns the maximum number of elements allocatable in a 1D linear texture for a given texture element size.\n\n Returns in \\p maxWidthInElements the maximum number of texture elements allocatable in a 1D linear texture\n for given \\p format and \\p numChannels.\n\n \\param maxWidthInElements    - Returned maximum number of texture elements allocatable for given \\p format and \\p numChannels.\n \\param format                - Texture format.\n \\param numChannels           - Number of channels per texture element.\n \\param dev                   - Device handle.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGet,\n ::cudaMemGetInfo,\n ::cuDeviceTotalMem"]
    pub unsafe fn cuDeviceGetTexture1DLinearMaxWidth(
        &self,
        maxWidthInElements: *mut usize,
        format: CUarray_format,
        numChannels: ::std::os::raw::c_uint,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetTexture1DLinearMaxWidth
            .as_ref()
            .expect("Expected function, got error."))(
            maxWidthInElements, format, numChannels, dev
        )
    }
    #[doc = " \\brief Returns information about the device\n\n Returns in \\p *pi the integer value of the attribute \\p attrib on device\n \\p dev. The supported attributes are:\n - ::CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: Maximum number of threads per\n   block;\n - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X: Maximum x-dimension of a block\n - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y: Maximum y-dimension of a block\n - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z: Maximum z-dimension of a block\n - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X: Maximum x-dimension of a grid\n - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y: Maximum y-dimension of a grid\n - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z: Maximum z-dimension of a grid\n - ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK: Maximum amount of\n   shared memory available to a thread block in bytes\n - ::CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY: Memory available on device for\n   __constant__ variables in a CUDA C kernel in bytes\n - ::CU_DEVICE_ATTRIBUTE_WARP_SIZE: Warp size in threads\n - ::CU_DEVICE_ATTRIBUTE_MAX_PITCH: Maximum pitch in bytes allowed by the\n   memory copy functions that involve memory regions allocated through\n   ::cuMemAllocPitch()\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH: Maximum 1D\n  texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH: Maximum width\n  for a 1D texture bound to linear memory\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH: Maximum\n  mipmapped 1D texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH: Maximum 2D\n  texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT: Maximum 2D\n  texture height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH: Maximum width\n  for a 2D texture bound to linear memory\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT: Maximum height\n  for a 2D texture bound to linear memory\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH: Maximum pitch\n  in bytes for a 2D texture bound to linear memory\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH: Maximum\n  mipmapped 2D texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT: Maximum\n  mipmapped 2D texture height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH: Maximum 3D\n  texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT: Maximum 3D\n  texture height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH: Maximum 3D\n  texture depth\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE:\n  Alternate maximum 3D texture width, 0 if no alternate\n  maximum 3D texture size is supported\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE:\n  Alternate maximum 3D texture height, 0 if no alternate\n  maximum 3D texture size is supported\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE:\n  Alternate maximum 3D texture depth, 0 if no alternate\n  maximum 3D texture size is supported\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH:\n  Maximum cubemap texture width or height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH:\n  Maximum 1D layered texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS:\n   Maximum layers in a 1D layered texture\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH:\n  Maximum 2D layered texture width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT:\n   Maximum 2D layered texture height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS:\n   Maximum layers in a 2D layered texture\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH:\n   Maximum cubemap layered texture width or height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS:\n   Maximum layers in a cubemap layered texture\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH:\n   Maximum 1D surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH:\n   Maximum 2D surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT:\n   Maximum 2D surface height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH:\n   Maximum 3D surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT:\n   Maximum 3D surface height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH:\n   Maximum 3D surface depth\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH:\n   Maximum 1D layered surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS:\n   Maximum layers in a 1D layered surface\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH:\n   Maximum 2D layered surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT:\n   Maximum 2D layered surface height\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS:\n   Maximum layers in a 2D layered surface\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH:\n   Maximum cubemap surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH:\n   Maximum cubemap layered surface width\n - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS:\n   Maximum layers in a cubemap layered surface\n - ::CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK: Maximum number of 32-bit\n   registers available to a thread block\n - ::CU_DEVICE_ATTRIBUTE_CLOCK_RATE: The typical clock frequency in kilohertz\n - ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT: Alignment requirement; texture\n   base addresses aligned to ::textureAlign bytes do not need an offset\n   applied to texture fetches\n - ::CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT: Pitch alignment requirement\n   for 2D texture references bound to pitched memory\n - ::CU_DEVICE_ATTRIBUTE_GPU_OVERLAP: 1 if the device can concurrently copy\n   memory between host and device while executing a kernel, or 0 if not\n - ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT: Number of multiprocessors on\n   the device\n - ::CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT: 1 if there is a run time limit\n   for kernels executed on the device, or 0 if not\n - ::CU_DEVICE_ATTRIBUTE_INTEGRATED: 1 if the device is integrated with the\n   memory subsystem, or 0 if not\n - ::CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: 1 if the device can map host\n   memory into the CUDA address space, or 0 if not\n - ::CU_DEVICE_ATTRIBUTE_COMPUTE_MODE: Compute mode that device is currently\n   in. Available modes are as follows:\n   - ::CU_COMPUTEMODE_DEFAULT: Default mode - Device is not restricted and\n     can have multiple CUDA contexts present at a single time.\n   - ::CU_COMPUTEMODE_PROHIBITED: Compute-prohibited mode - Device is\n     prohibited from creating new CUDA contexts.\n   - ::CU_COMPUTEMODE_EXCLUSIVE_PROCESS:  Compute-exclusive-process mode - Device\n     can have only one context used by a single process at a time.\n - ::CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: 1 if the device supports\n   executing multiple kernels within the same context simultaneously, or 0 if\n   not. It is not guaranteed that multiple kernels will be resident\n   on the device concurrently so this feature should not be relied upon for\n   correctness.\n - ::CU_DEVICE_ATTRIBUTE_ECC_ENABLED: 1 if error correction is enabled on the\n    device, 0 if error correction is disabled or not supported by the device\n - ::CU_DEVICE_ATTRIBUTE_PCI_BUS_ID: PCI bus identifier of the device\n - ::CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID: PCI device (also known as slot) identifier\n   of the device\n - ::CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID: PCI domain identifier of the device\n - ::CU_DEVICE_ATTRIBUTE_TCC_DRIVER: 1 if the device is using a TCC driver. TCC\n    is only available on Tesla hardware running Windows Vista or later\n - ::CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE: Peak memory clock frequency in kilohertz\n - ::CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH: Global memory bus width in bits\n - ::CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE: Size of L2 cache in bytes. 0 if the device doesn't have L2 cache\n - ::CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR: Maximum resident threads per multiprocessor\n - ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING: 1 if the device shares a unified address space with\n   the host, or 0 if not\n - ::CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR: Major compute capability version number\n - ::CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR: Minor compute capability version number\n - ::CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED: 1 if device supports caching globals\n    in L1 cache, 0 if caching globals in L1 cache is not supported by the device\n - ::CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED: 1 if device supports caching locals\n    in L1 cache, 0 if caching locals in L1 cache is not supported by the device\n - ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR: Maximum amount of\n   shared memory available to a multiprocessor in bytes; this amount is shared\n   by all thread blocks simultaneously resident on a multiprocessor\n - ::CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR: Maximum number of 32-bit\n   registers available to a multiprocessor; this number is shared by all thread\n   blocks simultaneously resident on a multiprocessor\n - ::CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY: 1 if device supports allocating managed memory\n   on this system, 0 if allocating managed memory is not supported by the device on this system.\n - ::CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD: 1 if device is on a multi-GPU board, 0 if not.\n - ::CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID: Unique identifier for a group of devices\n   associated with the same board. Devices on the same multi-GPU board will share the same identifier.\n - ::CU_DEVICE_ATTRIBUTE_HOST_NATIVE_ATOMIC_SUPPORTED: 1 if Link between the device and the host\n   supports native atomic operations.\n - ::CU_DEVICE_ATTRIBUTE_SINGLE_TO_DOUBLE_PRECISION_PERF_RATIO: Ratio of single precision performance\n   (in floating-point operations per second) to double precision performance.\n - ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS: Device suppports coherently accessing\n   pageable memory without calling cudaHostRegister on it.\n - ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS: Device can coherently access managed memory\n   concurrently with the CPU.\n - ::CU_DEVICE_ATTRIBUTE_COMPUTE_PREEMPTION_SUPPORTED: Device supports Compute Preemption.\n - ::CU_DEVICE_ATTRIBUTE_CAN_USE_HOST_POINTER_FOR_REGISTERED_MEM: Device can access host registered\n   memory at the same virtual address as the CPU.\n -  ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN: The maximum per block shared memory size\n    suported on this device. This is the maximum value that can be opted into when using the cuFuncSetAttribute() or cuKernelSetAttribute() call.\n    For more details see ::CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES\n - ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES: Device accesses pageable memory via the host's\n   page tables.\n - ::CU_DEVICE_ATTRIBUTE_DIRECT_MANAGED_MEM_ACCESS_FROM_HOST: The host can directly access managed memory on the device without migration.\n - ::CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED:  Device supports virtual memory management APIs like ::cuMemAddressReserve, ::cuMemCreate, ::cuMemMap and related APIs\n - ::CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR_SUPPORTED: Device supports exporting memory to a posix file descriptor with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate\n - ::CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_WIN32_HANDLE_SUPPORTED:  Device supports exporting memory to a Win32 NT handle with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate\n - ::CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_WIN32_KMT_HANDLE_SUPPORTED: Device supports exporting memory to a Win32 KMT handle with ::cuMemExportToShareableHandle, if requested via ::cuMemCreate\n - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCKS_PER_MULTIPROCESSOR: Maximum number of thread blocks that can reside on a multiprocessor\n - ::CU_DEVICE_ATTRIBUTE_GENERIC_COMPRESSION_SUPPORTED: Device supports compressible memory allocation via ::cuMemCreate\n - ::CU_DEVICE_ATTRIBUTE_MAX_PERSISTING_L2_CACHE_SIZE: Maximum L2 persisting lines capacity setting in bytes\n - ::CU_DEVICE_ATTRIBUTE_MAX_ACCESS_POLICY_WINDOW_SIZE: Maximum value of CUaccessPolicyWindow::num_bytes\n - ::CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WITH_CUDA_VMM_SUPPORTED: Device supports specifying the GPUDirect RDMA flag with ::cuMemCreate.\n - ::CU_DEVICE_ATTRIBUTE_RESERVED_SHARED_MEMORY_PER_BLOCK: Amount of shared memory per block reserved by CUDA driver in bytes\n - ::CU_DEVICE_ATTRIBUTE_SPARSE_CUDA_ARRAY_SUPPORTED: Device supports sparse CUDA arrays and sparse CUDA mipmapped arrays.\n - ::CU_DEVICE_ATTRIBUTE_READ_ONLY_HOST_REGISTER_SUPPORTED: Device supports using the ::cuMemHostRegister flag ::CU_MEMHOSTERGISTER_READ_ONLY to register memory that must be mapped as read-only to the GPU\n - ::CU_DEVICE_ATTRIBUTE_MEMORY_POOLS_SUPPORTED: Device supports using the ::cuMemAllocAsync and ::cuMemPool family of APIs\n - ::CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_SUPPORTED: Device supports GPUDirect RDMA APIs, like nvidia_p2p_get_pages (see https://docs.nvidia.com/cuda/gpudirect-rdma for more information)\n - ::CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_FLUSH_WRITES_OPTIONS: The returned attribute shall be interpreted as a bitmask, where the individual bits are described by the ::CUflushGPUDirectRDMAWritesOptions enum\n - ::CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WRITES_ORDERING: GPUDirect RDMA writes to the device do not need to be flushed for consumers within the scope indicated by the returned attribute. See ::CUGPUDirectRDMAWritesOrdering for the numerical values returned here.\n - ::CU_DEVICE_ATTRIBUTE_MEMPOOL_SUPPORTED_HANDLE_TYPES: Bitmask of handle types supported with mempool based IPC\n - ::CU_DEVICE_ATTRIBUTE_DEFERRED_MAPPING_CUDA_ARRAY_SUPPORTED: Device supports deferred mapping CUDA arrays and CUDA mipmapped arrays.\n\n \\param pi     - Returned device attribute value\n \\param attrib - Device attribute to query\n \\param dev    - Device handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem,\n ::cuDeviceGetExecAffinitySupport,\n ::cudaDeviceGetAttribute,\n ::cudaGetDeviceProperties"]
    pub unsafe fn cuDeviceGetAttribute(
        &self,
        pi: *mut ::std::os::raw::c_int,
        attrib: CUdevice_attribute,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(pi, attrib, dev)
    }
    #[doc = " \\brief Return NvSciSync attributes that this device can support.\n\n Returns in \\p nvSciSyncAttrList, the properties of NvSciSync that\n this CUDA device, \\p dev can support. The returned \\p nvSciSyncAttrList\n can be used to create an NvSciSync object that matches this device's capabilities.\n\n If NvSciSyncAttrKey_RequiredPerm field in \\p nvSciSyncAttrList is\n already set this API will return ::CUDA_ERROR_INVALID_VALUE.\n\n The applications should set \\p nvSciSyncAttrList to a valid\n NvSciSyncAttrList failing which this API will return\n ::CUDA_ERROR_INVALID_HANDLE.\n\n The \\p flags controls how applications intends to use\n the NvSciSync created from the \\p nvSciSyncAttrList. The valid flags are:\n - ::CUDA_NVSCISYNC_ATTR_SIGNAL, specifies that the applications intends to\n signal an NvSciSync on this CUDA device.\n - ::CUDA_NVSCISYNC_ATTR_WAIT, specifies that the applications intends to\n wait on an NvSciSync on this CUDA device.\n\n At least one of these flags must be set, failing which the API\n returns ::CUDA_ERROR_INVALID_VALUE. Both the flags are orthogonal\n to one another: a developer may set both these flags that allows to\n set both wait and signal specific attributes in the same \\p nvSciSyncAttrList.\n\n \\param nvSciSyncAttrList     - Return NvSciSync attributes supported.\n \\param dev                   - Valid Cuda Device to get NvSciSync attributes for.\n \\param flags                 - flags describing NvSciSync usage.\n\n \\return\n\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa\n ::cuImportExternalSemaphore,\n ::cuDestroyExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuDeviceGetNvSciSyncAttributes(
        &self,
        nvSciSyncAttrList: *mut ::std::os::raw::c_void,
        dev: CUdevice,
        flags: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuDeviceGetNvSciSyncAttributes
            .as_ref()
            .expect("Expected function, got error."))(nvSciSyncAttrList, dev, flags)
    }
    #[doc = " \\brief Sets the current memory pool of a device\n\n The memory pool must be local to the specified device.\n ::cuMemAllocAsync allocates from the current mempool of the provided stream's device.\n By default, a device's current memory pool is its default memory pool.\n\n \\note Use ::cuMemAllocFromPoolAsync to specify asynchronous allocations from a device different\n than the one the stream runs on.\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuDeviceGetDefaultMemPool, ::cuDeviceGetMemPool, ::cuMemPoolCreate, ::cuMemPoolDestroy, ::cuMemAllocFromPoolAsync"]
    pub unsafe fn cuDeviceSetMemPool(&self, dev: CUdevice, pool: CUmemoryPool) -> CUresult {
        (self
            .cuDeviceSetMemPool
            .as_ref()
            .expect("Expected function, got error."))(dev, pool)
    }
    #[doc = " \\brief Gets the current mempool for a device\n\n Returns the last pool provided to ::cuDeviceSetMemPool for this device\n or the device's default memory pool if ::cuDeviceSetMemPool has never been called.\n By default the current mempool is the default mempool for a device.\n Otherwise the returned pool must have been set with ::cuDeviceSetMemPool.\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuDeviceGetDefaultMemPool, ::cuMemPoolCreate, ::cuDeviceSetMemPool"]
    pub unsafe fn cuDeviceGetMemPool(&self, pool: *mut CUmemoryPool, dev: CUdevice) -> CUresult {
        (self
            .cuDeviceGetMemPool
            .as_ref()
            .expect("Expected function, got error."))(pool, dev)
    }
    #[doc = " \\brief Returns the default mempool of a device\n\n The default mempool of a device contains device memory from that device.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa ::cuMemAllocAsync, ::cuMemPoolTrimTo, ::cuMemPoolGetAttribute, ::cuMemPoolSetAttribute, cuMemPoolSetAccess, ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuDeviceGetDefaultMemPool(
        &self,
        pool_out: *mut CUmemoryPool,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetDefaultMemPool
            .as_ref()
            .expect("Expected function, got error."))(pool_out, dev)
    }
    #[doc = " \\brief Returns information about the execution affinity support of the device.\n\n Returns in \\p *pi whether execution affinity type \\p type is supported by device \\p dev.\n The supported types are:\n - ::CU_EXEC_AFFINITY_TYPE_SM_COUNT: 1 if context with limited SMs is supported by the device,\n   or 0 if not;\n\n \\param pi   - 1 if the execution affinity type \\p type is supported by the device, or 0 if not\n \\param type - Execution affinity type to query\n \\param dev  - Device handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem"]
    pub unsafe fn cuDeviceGetExecAffinitySupport(
        &self,
        pi: *mut ::std::os::raw::c_int,
        type_: CUexecAffinityType,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetExecAffinitySupport
            .as_ref()
            .expect("Expected function, got error."))(pi, type_, dev)
    }
    #[doc = " \\brief Blocks until remote writes are visible to the specified scope\n\n Blocks until GPUDirect RDMA writes to the target context via mappings\n created through APIs like nvidia_p2p_get_pages (see\n https://docs.nvidia.com/cuda/gpudirect-rdma for more information), are\n visible to the specified scope.\n\n If the scope equals or lies within the scope indicated by\n ::CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WRITES_ORDERING, the call\n will be a no-op and can be safely omitted for performance. This can be\n determined by comparing the numerical values between the two enums, with\n smaller scopes having smaller values.\n\n Users may query support for this API via\n ::CU_DEVICE_ATTRIBUTE_FLUSH_FLUSH_GPU_DIRECT_RDMA_OPTIONS.\n\n \\param target - The target of the operation, see ::CUflushGPUDirectRDMAWritesTarget\n \\param scope  - The scope of the operation, see ::CUflushGPUDirectRDMAWritesScope\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n"]
    pub unsafe fn cuFlushGPUDirectRDMAWrites(
        &self,
        target: CUflushGPUDirectRDMAWritesTarget,
        scope: CUflushGPUDirectRDMAWritesScope,
    ) -> CUresult {
        (self
            .cuFlushGPUDirectRDMAWrites
            .as_ref()
            .expect("Expected function, got error."))(target, scope)
    }
    #[doc = " \\brief Returns properties for a selected device\n\n \\deprecated\n\n This function was deprecated as of CUDA 5.0 and replaced by ::cuDeviceGetAttribute().\n\n Returns in \\p *prop the properties of device \\p dev. The ::CUdevprop\n structure is defined as:\n\n \\code\ntypedef struct CUdevprop_st {\nint maxThreadsPerBlock;\nint maxThreadsDim[3];\nint maxGridSize[3];\nint sharedMemPerBlock;\nint totalConstantMemory;\nint SIMDWidth;\nint memPitch;\nint regsPerBlock;\nint clockRate;\nint textureAlign\n} CUdevprop;\n \\endcode\n where:\n\n - ::maxThreadsPerBlock is the maximum number of threads per block;\n - ::maxThreadsDim[3] is the maximum sizes of each dimension of a block;\n - ::maxGridSize[3] is the maximum sizes of each dimension of a grid;\n - ::sharedMemPerBlock is the total amount of shared memory available per\n   block in bytes;\n - ::totalConstantMemory is the total amount of constant memory available on\n   the device in bytes;\n - ::SIMDWidth is the warp size;\n - ::memPitch is the maximum pitch allowed by the memory copy functions that\n   involve memory regions allocated through ::cuMemAllocPitch();\n - ::regsPerBlock is the total number of registers available per block;\n - ::clockRate is the clock frequency in kilohertz;\n - ::textureAlign is the alignment requirement; texture base addresses that\n   are aligned to ::textureAlign bytes do not need an offset applied to\n   texture fetches.\n\n \\param prop - Returned properties of device\n \\param dev  - Device to get properties for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem"]
    pub unsafe fn cuDeviceGetProperties(&self, prop: *mut CUdevprop, dev: CUdevice) -> CUresult {
        (self
            .cuDeviceGetProperties
            .as_ref()
            .expect("Expected function, got error."))(prop, dev)
    }
    #[doc = " \\brief Returns the compute capability of the device\n\n \\deprecated\n\n This function was deprecated as of CUDA 5.0 and its functionality superceded\n by ::cuDeviceGetAttribute().\n\n Returns in \\p *major and \\p *minor the major and minor revision numbers that\n define the compute capability of the device \\p dev.\n\n \\param major - Major revision number\n \\param minor - Minor revision number\n \\param dev   - Device handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGetAttribute,\n ::cuDeviceGetCount,\n ::cuDeviceGetName,\n ::cuDeviceGetUuid,\n ::cuDeviceGet,\n ::cuDeviceTotalMem"]
    pub unsafe fn cuDeviceComputeCapability(
        &self,
        major: *mut ::std::os::raw::c_int,
        minor: *mut ::std::os::raw::c_int,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceComputeCapability
            .as_ref()
            .expect("Expected function, got error."))(major, minor, dev)
    }
    #[doc = " \\brief Retain the primary context on the GPU\n\n Retains the primary context on the device.\n Once the user successfully retains the primary context, the primary context\n will be active and available to the user until the user releases it\n with ::cuDevicePrimaryCtxRelease() or resets it with ::cuDevicePrimaryCtxReset().\n Unlike ::cuCtxCreate() the newly retained context is not pushed onto the stack.\n\n Retaining the primary context for the first time will fail with ::CUDA_ERROR_UNKNOWN\n if the compute mode of the device is ::CU_COMPUTEMODE_PROHIBITED. The function\n ::cuDeviceGetAttribute() can be used with ::CU_DEVICE_ATTRIBUTE_COMPUTE_MODE to\n determine the compute mode  of the device.\n The <i>nvidia-smi</i> tool can be used to set the compute mode for\n devices. Documentation for <i>nvidia-smi</i> can be obtained by passing a\n -h option to it.\n\n Please note that the primary context always supports pinned allocations. Other\n flags can be specified by ::cuDevicePrimaryCtxSetFlags().\n\n \\param pctx  - Returned context handle of the new context\n \\param dev   - Device for which primary context is requested\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa ::cuDevicePrimaryCtxRelease,\n ::cuDevicePrimaryCtxSetFlags,\n ::cuCtxCreate,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize"]
    pub unsafe fn cuDevicePrimaryCtxRetain(&self, pctx: *mut CUcontext, dev: CUdevice) -> CUresult {
        (self
            .cuDevicePrimaryCtxRetain
            .as_ref()
            .expect("Expected function, got error."))(pctx, dev)
    }
    pub unsafe fn cuDevicePrimaryCtxRelease_v2(&self, dev: CUdevice) -> CUresult {
        (self
            .cuDevicePrimaryCtxRelease_v2
            .as_ref()
            .expect("Expected function, got error."))(dev)
    }
    pub unsafe fn cuDevicePrimaryCtxSetFlags_v2(
        &self,
        dev: CUdevice,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuDevicePrimaryCtxSetFlags_v2
            .as_ref()
            .expect("Expected function, got error."))(dev, flags)
    }
    #[doc = " \\brief Get the state of the primary context\n\n Returns in \\p *flags the flags for the primary context of \\p dev, and in\n \\p *active whether it is active.  See ::cuDevicePrimaryCtxSetFlags for flag\n values.\n\n \\param dev    - Device to get primary context flags for\n \\param flags  - Pointer to store flags\n \\param active - Pointer to store context state; 0 = inactive, 1 = active\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n\n \\sa\n ::cuDevicePrimaryCtxSetFlags,\n ::cuCtxGetFlags,\n ::cudaGetDeviceFlags"]
    pub unsafe fn cuDevicePrimaryCtxGetState(
        &self,
        dev: CUdevice,
        flags: *mut ::std::os::raw::c_uint,
        active: *mut ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuDevicePrimaryCtxGetState
            .as_ref()
            .expect("Expected function, got error."))(dev, flags, active)
    }
    pub unsafe fn cuDevicePrimaryCtxReset_v2(&self, dev: CUdevice) -> CUresult {
        (self
            .cuDevicePrimaryCtxReset_v2
            .as_ref()
            .expect("Expected function, got error."))(dev)
    }
    pub unsafe fn cuCtxCreate_v2(
        &self,
        pctx: *mut CUcontext,
        flags: ::std::os::raw::c_uint,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuCtxCreate_v2
            .as_ref()
            .expect("Expected function, got error."))(pctx, flags, dev)
    }
    pub unsafe fn cuCtxCreate_v3(
        &self,
        pctx: *mut CUcontext,
        paramsArray: *mut CUexecAffinityParam,
        numParams: ::std::os::raw::c_int,
        flags: ::std::os::raw::c_uint,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuCtxCreate_v3
            .as_ref()
            .expect("Expected function, got error."))(
            pctx, paramsArray, numParams, flags, dev
        )
    }
    pub unsafe fn cuCtxDestroy_v2(&self, ctx: CUcontext) -> CUresult {
        (self
            .cuCtxDestroy_v2
            .as_ref()
            .expect("Expected function, got error."))(ctx)
    }
    pub unsafe fn cuCtxPushCurrent_v2(&self, ctx: CUcontext) -> CUresult {
        (self
            .cuCtxPushCurrent_v2
            .as_ref()
            .expect("Expected function, got error."))(ctx)
    }
    pub unsafe fn cuCtxPopCurrent_v2(&self, pctx: *mut CUcontext) -> CUresult {
        (self
            .cuCtxPopCurrent_v2
            .as_ref()
            .expect("Expected function, got error."))(pctx)
    }
    #[doc = " \\brief Binds the specified CUDA context to the calling CPU thread\n\n Binds the specified CUDA context to the calling CPU thread.\n If \\p ctx is NULL then the CUDA context previously bound to the\n calling CPU thread is unbound and ::CUDA_SUCCESS is returned.\n\n If there exists a CUDA context stack on the calling CPU thread, this\n will replace the top of that stack with \\p ctx.\n If \\p ctx is NULL then this will be equivalent to popping the top\n of the calling CPU thread's CUDA context stack (or a no-op if the\n calling CPU thread's CUDA context stack is empty).\n\n \\param ctx - Context to bind to the calling CPU thread\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa\n ::cuCtxGetCurrent,\n ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cudaSetDevice"]
    pub unsafe fn cuCtxSetCurrent(&self, ctx: CUcontext) -> CUresult {
        (self
            .cuCtxSetCurrent
            .as_ref()
            .expect("Expected function, got error."))(ctx)
    }
    #[doc = " \\brief Returns the CUDA context bound to the calling CPU thread.\n\n Returns in \\p *pctx the CUDA context bound to the calling CPU thread.\n If no context is bound to the calling CPU thread then \\p *pctx is\n set to NULL and ::CUDA_SUCCESS is returned.\n\n \\param pctx - Returned context handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n \\notefnerr\n\n \\sa\n ::cuCtxSetCurrent,\n ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cudaGetDevice"]
    pub unsafe fn cuCtxGetCurrent(&self, pctx: *mut CUcontext) -> CUresult {
        (self
            .cuCtxGetCurrent
            .as_ref()
            .expect("Expected function, got error."))(pctx)
    }
    #[doc = " \\brief Returns the device ID for the current context\n\n Returns in \\p *device the ordinal of the current context's device.\n\n \\param device - Returned device ID for the current context\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cudaGetDevice"]
    pub unsafe fn cuCtxGetDevice(&self, device: *mut CUdevice) -> CUresult {
        (self
            .cuCtxGetDevice
            .as_ref()
            .expect("Expected function, got error."))(device)
    }
    #[doc = " \\brief Returns the flags for the current context\n\n Returns in \\p *flags the flags of the current context. See ::cuCtxCreate\n for flag values.\n\n \\param flags - Pointer to store flags of current context\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetCurrent,\n ::cuCtxGetDevice,\n ::cuCtxGetLimit,\n ::cuCtxGetSharedMemConfig,\n ::cuCtxGetStreamPriorityRange,\n ::cudaGetDeviceFlags"]
    pub unsafe fn cuCtxGetFlags(&self, flags: *mut ::std::os::raw::c_uint) -> CUresult {
        (self
            .cuCtxGetFlags
            .as_ref()
            .expect("Expected function, got error."))(flags)
    }
    #[doc = " \\brief Returns the unique Id associated with the context supplied\n\n Returns in \\p ctxId the unique Id which is associated with a given context.\n The Id is unique for the life of the program for this instance of CUDA.\n If context is supplied as NULL and there is one current, the Id of the\n current context is returned.\n\n \\param ctx - Context for which to obtain the Id\n \\param ctxId - Pointer to store the Id of the context\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPushCurrent"]
    pub unsafe fn cuCtxGetId(
        &self,
        ctx: CUcontext,
        ctxId: *mut ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuCtxGetId
            .as_ref()
            .expect("Expected function, got error."))(ctx, ctxId)
    }
    #[doc = " \\brief Block for a context's tasks to complete\n\n Blocks until the device has completed all preceding requested tasks.\n ::cuCtxSynchronize() returns an error if one of the preceding tasks failed.\n If the context was created with the ::CU_CTX_SCHED_BLOCKING_SYNC flag, the\n CPU thread will block until the GPU context has finished its work.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cudaDeviceSynchronize"]
    pub unsafe fn cuCtxSynchronize(&self) -> CUresult {
        (self
            .cuCtxSynchronize
            .as_ref()
            .expect("Expected function, got error."))()
    }
    #[doc = " \\brief Set resource limits\n\n Setting \\p limit to \\p value is a request by the application to update\n the current limit maintained by the context. The driver is free to\n modify the requested value to meet h/w requirements (this could be\n clamping to minimum or maximum values, rounding up to nearest element\n size, etc). The application can use ::cuCtxGetLimit() to find out exactly\n what the limit has been set to.\n\n Setting each ::CUlimit has its own specific restrictions, so each is\n discussed here.\n\n - ::CU_LIMIT_STACK_SIZE controls the stack size in bytes of each GPU thread.\n   The driver automatically increases the per-thread stack size\n   for each kernel launch as needed. This size isn't reset back to the\n   original value after each launch. Setting this value will take effect\n   immediately, and if necessary, the device will block until all preceding\n   requested tasks are complete.\n\n - ::CU_LIMIT_PRINTF_FIFO_SIZE controls the size in bytes of the FIFO used\n   by the ::printf() device system call. Setting ::CU_LIMIT_PRINTF_FIFO_SIZE\n   must be performed before launching any kernel that uses the ::printf()\n   device system call, otherwise ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n - ::CU_LIMIT_MALLOC_HEAP_SIZE controls the size in bytes of the heap used\n   by the ::malloc() and ::free() device system calls. Setting\n   ::CU_LIMIT_MALLOC_HEAP_SIZE must be performed before launching any kernel\n   that uses the ::malloc() or ::free() device system calls, otherwise\n   ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n - ::CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH controls the maximum nesting depth of\n   a grid at which a thread can safely call ::cudaDeviceSynchronize(). Setting\n   this limit must be performed before any launch of a kernel that uses the\n   device runtime and calls ::cudaDeviceSynchronize() above the default sync\n   depth, two levels of grids. Calls to ::cudaDeviceSynchronize() will fail\n   with error code ::cudaErrorSyncDepthExceeded if the limitation is\n   violated. This limit can be set smaller than the default or up the maximum\n   launch depth of 24. When setting this limit, keep in mind that additional\n   levels of sync depth require the driver to reserve large amounts of device\n   memory which can no longer be used for user allocations. If these\n   reservations of device memory fail, ::cuCtxSetLimit() will return\n   ::CUDA_ERROR_OUT_OF_MEMORY, and the limit can be reset to a lower value.\n   This limit is only applicable to devices of compute capability < 9.0.\n   Attempting to set this limit on devices of other compute capability\n   versions will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT being\n   returned.\n\n - ::CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT controls the maximum number of\n   outstanding device runtime launches that can be made from the current\n   context. A grid is outstanding from the point of launch up until the grid\n   is known to have been completed. Device runtime launches which violate\n   this limitation fail and return ::cudaErrorLaunchPendingCountExceeded when\n   ::cudaGetLastError() is called after launch. If more pending launches than\n   the default (2048 launches) are needed for a module using the device\n   runtime, this limit can be increased. Keep in mind that being able to\n   sustain additional pending launches will require the driver to reserve\n   larger amounts of device memory upfront which can no longer be used for\n   allocations. If these reservations fail, ::cuCtxSetLimit() will return\n   ::CUDA_ERROR_OUT_OF_MEMORY, and the limit can be reset to a lower value.\n   This limit is only applicable to devices of compute capability 3.5 and\n   higher. Attempting to set this limit on devices of compute capability less\n   than 3.5 will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT being\n   returned.\n\n - ::CU_LIMIT_MAX_L2_FETCH_GRANULARITY controls the L2 cache fetch granularity.\n   Values can range from 0B to 128B. This is purely a performence hint and\n   it can be ignored or clamped depending on the platform.\n\n - ::CU_LIMIT_PERSISTING_L2_CACHE_SIZE controls size in bytes availabe for\n   persisting L2 cache. This is purely a performance hint and it can be\n   ignored or clamped depending on the platform.\n\n \\param limit - Limit to set\n \\param value - Size of limit\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNSUPPORTED_LIMIT,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSynchronize,\n ::cudaDeviceSetLimit"]
    pub unsafe fn cuCtxSetLimit(&self, limit: CUlimit, value: usize) -> CUresult {
        (self
            .cuCtxSetLimit
            .as_ref()
            .expect("Expected function, got error."))(limit, value)
    }
    #[doc = " \\brief Returns resource limits\n\n Returns in \\p *pvalue the current size of \\p limit.  The supported\n ::CUlimit values are:\n - ::CU_LIMIT_STACK_SIZE: stack size in bytes of each GPU thread.\n - ::CU_LIMIT_PRINTF_FIFO_SIZE: size in bytes of the FIFO used by the\n   ::printf() device system call.\n - ::CU_LIMIT_MALLOC_HEAP_SIZE: size in bytes of the heap used by the\n   ::malloc() and ::free() device system calls.\n - ::CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH: maximum grid depth at which a thread\n   can issue the device runtime call ::cudaDeviceSynchronize() to wait on\n   child grid launches to complete.\n - ::CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT: maximum number of outstanding\n   device runtime launches that can be made from this context.\n - ::CU_LIMIT_MAX_L2_FETCH_GRANULARITY: L2 cache fetch granularity.\n - ::CU_LIMIT_PERSISTING_L2_CACHE_SIZE: Persisting L2 cache size in bytes\n\n \\param limit  - Limit to query\n \\param pvalue - Returned size of limit\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNSUPPORTED_LIMIT\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cudaDeviceGetLimit"]
    pub unsafe fn cuCtxGetLimit(&self, pvalue: *mut usize, limit: CUlimit) -> CUresult {
        (self
            .cuCtxGetLimit
            .as_ref()
            .expect("Expected function, got error."))(pvalue, limit)
    }
    #[doc = " \\brief Returns the preferred cache configuration for the current context.\n\n On devices where the L1 cache and shared memory use the same hardware\n resources, this function returns through \\p pconfig the preferred cache configuration\n for the current context. This is only a preference. The driver will use\n the requested configuration if possible, but it is free to choose a different\n configuration if required to execute functions.\n\n This will return a \\p pconfig of ::CU_FUNC_CACHE_PREFER_NONE on devices\n where the size of the L1 cache and shared memory are fixed.\n\n The supported cache configurations are:\n - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)\n - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache\n - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory\n - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory\n\n \\param pconfig - Returned cache configuration\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cuFuncSetCacheConfig,\n ::cudaDeviceGetCacheConfig"]
    pub unsafe fn cuCtxGetCacheConfig(&self, pconfig: *mut CUfunc_cache) -> CUresult {
        (self
            .cuCtxGetCacheConfig
            .as_ref()
            .expect("Expected function, got error."))(pconfig)
    }
    #[doc = " \\brief Sets the preferred cache configuration for the current context.\n\n On devices where the L1 cache and shared memory use the same hardware\n resources, this sets through \\p config the preferred cache configuration for\n the current context. This is only a preference. The driver will use\n the requested configuration if possible, but it is free to choose a different\n configuration if required to execute the function. Any function preference\n set via ::cuFuncSetCacheConfig() or ::cuKernelSetCacheConfig() will be preferred over this context-wide\n setting. Setting the context-wide cache configuration to\n ::CU_FUNC_CACHE_PREFER_NONE will cause subsequent kernel launches to prefer\n to not change the cache configuration unless required to launch the kernel.\n\n This setting does nothing on devices where the size of the L1 cache and\n shared memory are fixed.\n\n Launching a kernel with a different preference than the most recent\n preference setting may insert a device-side synchronization point.\n\n The supported cache configurations are:\n - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)\n - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache\n - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory\n - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory\n\n \\param config - Requested cache configuration\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cuFuncSetCacheConfig,\n ::cudaDeviceSetCacheConfig,\n ::cuKernelSetCacheConfig"]
    pub unsafe fn cuCtxSetCacheConfig(&self, config: CUfunc_cache) -> CUresult {
        (self
            .cuCtxSetCacheConfig
            .as_ref()
            .expect("Expected function, got error."))(config)
    }
    #[doc = " \\brief Returns the current shared memory configuration for the current context.\n\n This function will return in \\p pConfig the current size of shared memory banks\n in the current context. On devices with configurable shared memory banks,\n ::cuCtxSetSharedMemConfig can be used to change this setting, so that all\n subsequent kernel launches will by default use the new bank size. When\n ::cuCtxGetSharedMemConfig is called on devices without configurable shared\n memory, it will return the fixed bank size of the hardware.\n\n The returned bank configurations can be either:\n - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE:  shared memory bank width is\n   four bytes.\n - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: shared memory bank width will\n   eight bytes.\n\n \\param pConfig - returned shared memory configuration\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cuCtxGetSharedMemConfig,\n ::cuFuncSetCacheConfig,\n ::cudaDeviceGetSharedMemConfig"]
    pub unsafe fn cuCtxGetSharedMemConfig(&self, pConfig: *mut CUsharedconfig) -> CUresult {
        (self
            .cuCtxGetSharedMemConfig
            .as_ref()
            .expect("Expected function, got error."))(pConfig)
    }
    #[doc = " \\brief Sets the shared memory configuration for the current context.\n\n On devices with configurable shared memory banks, this function will set\n the context's shared memory bank size which is used for subsequent kernel\n launches.\n\n Changed the shared memory configuration between launches may insert a device\n side synchronization point between those launches.\n\n Changing the shared memory bank size will not increase shared memory usage\n or affect occupancy of kernels, but may have major effects on performance.\n Larger bank sizes will allow for greater potential bandwidth to shared memory,\n but will change what kinds of accesses to shared memory will result in bank\n conflicts.\n\n This function will do nothing on devices with fixed shared memory bank size.\n\n The supported bank configurations are:\n - ::CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE: set bank width to the default initial\n   setting (currently, four bytes).\n - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE: set shared memory bank width to\n   be natively four bytes.\n - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: set shared memory bank width to\n   be natively eight bytes.\n\n \\param config - requested shared memory configuration\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cuCtxGetSharedMemConfig,\n ::cuFuncSetCacheConfig,\n ::cudaDeviceSetSharedMemConfig"]
    pub unsafe fn cuCtxSetSharedMemConfig(&self, config: CUsharedconfig) -> CUresult {
        (self
            .cuCtxSetSharedMemConfig
            .as_ref()
            .expect("Expected function, got error."))(config)
    }
    #[doc = " \\brief Gets the context's API version.\n\n Returns a version number in \\p version corresponding to the capabilities of\n the context (e.g. 3010 or 3020), which library developers can use to direct\n callers to a specific API version. If \\p ctx is NULL, returns the API version\n used to create the currently bound context.\n\n Note that new API versions are only introduced when context capabilities are\n changed that break binary compatibility, so the API version and driver version\n may be different. For example, it is valid for the API version to be 3020 while\n the driver version is 4020.\n\n \\param ctx     - Context to check\n \\param version - Pointer to version\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize"]
    pub unsafe fn cuCtxGetApiVersion(
        &self,
        ctx: CUcontext,
        version: *mut ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuCtxGetApiVersion
            .as_ref()
            .expect("Expected function, got error."))(ctx, version)
    }
    #[doc = " \\brief Returns numerical values that correspond to the least and\n greatest stream priorities.\n\n Returns in \\p *leastPriority and \\p *greatestPriority the numerical values that correspond\n to the least and greatest stream priorities respectively. Stream priorities\n follow a convention where lower numbers imply greater priorities. The range of\n meaningful stream priorities is given by [\\p *greatestPriority, \\p *leastPriority].\n If the user attempts to create a stream with a priority value that is\n outside the meaningful range as specified by this API, the priority is\n automatically clamped down or up to either \\p *leastPriority or \\p *greatestPriority\n respectively. See ::cuStreamCreateWithPriority for details on creating a\n priority stream.\n A NULL may be passed in for \\p *leastPriority or \\p *greatestPriority if the value\n is not desired.\n\n This function will return '0' in both \\p *leastPriority and \\p *greatestPriority if\n the current context's device does not support stream priorities\n (see ::cuDeviceGetAttribute).\n\n \\param leastPriority    - Pointer to an int in which the numerical value for least\n                           stream priority is returned\n \\param greatestPriority - Pointer to an int in which the numerical value for greatest\n                           stream priority is returned\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n\n \\sa ::cuStreamCreateWithPriority,\n ::cuStreamGetPriority,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize,\n ::cudaDeviceGetStreamPriorityRange"]
    pub unsafe fn cuCtxGetStreamPriorityRange(
        &self,
        leastPriority: *mut ::std::os::raw::c_int,
        greatestPriority: *mut ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuCtxGetStreamPriorityRange
            .as_ref()
            .expect("Expected function, got error."))(leastPriority, greatestPriority)
    }
    #[doc = " \\brief Resets all persisting lines in cache to normal status.\n\n ::cuCtxResetPersistingL2Cache Resets all persisting lines in cache to normal\n status. Takes effect on function return.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuCtxResetPersistingL2Cache(&self) -> CUresult {
        (self
            .cuCtxResetPersistingL2Cache
            .as_ref()
            .expect("Expected function, got error."))()
    }
    #[doc = " \\brief Returns the execution affinity setting for the current context.\n\n Returns in \\p *pExecAffinity the current value of \\p type. The supported\n ::CUexecAffinityType values are:\n - ::CU_EXEC_AFFINITY_TYPE_SM_COUNT: number of SMs the context is limited to use.\n\n \\param type          - Execution affinity type to query\n \\param pExecAffinity - Returned execution affinity\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNSUPPORTED_EXEC_AFFINITY\n \\notefnerr\n\n \\sa\n ::CUexecAffinityParam"]
    pub unsafe fn cuCtxGetExecAffinity(
        &self,
        pExecAffinity: *mut CUexecAffinityParam,
        type_: CUexecAffinityType,
    ) -> CUresult {
        (self
            .cuCtxGetExecAffinity
            .as_ref()
            .expect("Expected function, got error."))(pExecAffinity, type_)
    }
    #[doc = " \\brief Increment a context's usage-count\n\n \\deprecated\n\n Note that this function is deprecated and should not be used.\n\n Increments the usage count of the context and passes back a context handle\n in \\p *pctx that must be passed to ::cuCtxDetach() when the application is\n done with the context. ::cuCtxAttach() fails if there is no context current\n to the thread.\n\n Currently, the \\p flags parameter must be 0.\n\n \\param pctx  - Returned context handle of the current context\n \\param flags - Context attach flags (must be 0)\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxDetach,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize"]
    pub unsafe fn cuCtxAttach(
        &self,
        pctx: *mut CUcontext,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuCtxAttach
            .as_ref()
            .expect("Expected function, got error."))(pctx, flags)
    }
    #[doc = " \\brief Decrement a context's usage-count\n\n \\deprecated\n\n Note that this function is deprecated and should not be used.\n\n Decrements the usage count of the context \\p ctx, and destroys the context\n if the usage count goes to 0. The context must be a handle that was passed\n back by ::cuCtxCreate() or ::cuCtxAttach(), and must be current to the\n calling thread.\n\n \\param ctx - Context to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa ::cuCtxCreate,\n ::cuCtxDestroy,\n ::cuCtxGetApiVersion,\n ::cuCtxGetCacheConfig,\n ::cuCtxGetDevice,\n ::cuCtxGetFlags,\n ::cuCtxGetLimit,\n ::cuCtxPopCurrent,\n ::cuCtxPushCurrent,\n ::cuCtxSetCacheConfig,\n ::cuCtxSetLimit,\n ::cuCtxSynchronize"]
    pub unsafe fn cuCtxDetach(&self, ctx: CUcontext) -> CUresult {
        (self
            .cuCtxDetach
            .as_ref()
            .expect("Expected function, got error."))(ctx)
    }
    #[doc = " \\brief Loads a compute module\n\n Takes a filename \\p fname and loads the corresponding module \\p module into\n the current context. The CUDA driver API does not attempt to lazily\n allocate the resources needed by a module; if the memory for functions and\n data (constant and global) needed by the module cannot be allocated,\n ::cuModuleLoad() fails. The file should be a \\e cubin file as output by\n \\b nvcc, or a \\e PTX file either as output by \\b nvcc or handwritten, or\n a \\e fatbin file as output by \\b nvcc from toolchain 4.0 or later.\n\n \\param module - Returned module\n \\param fname  - Filename of module to load\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_NOT_FOUND,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_FILE_NOT_FOUND,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n \\notefnerr\n\n \\sa ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleLoad(
        &self,
        module: *mut CUmodule,
        fname: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuModuleLoad
            .as_ref()
            .expect("Expected function, got error."))(module, fname)
    }
    #[doc = " \\brief Load a module's data\n\n Takes a pointer \\p image and loads the corresponding module \\p module into\n the current context. The pointer may be obtained by mapping a \\e cubin or\n \\e PTX or \\e fatbin file, passing a \\e cubin or \\e PTX or \\e fatbin file\n as a NULL-terminated text string, or incorporating a \\e cubin or \\e fatbin\n object into the executable resources and using operating system calls such\n as Windows \\c FindResource() to obtain the pointer.\n\n \\param module - Returned module\n \\param image  - Module data to load\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n \\notefnerr\n\n \\sa ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleLoadData(
        &self,
        module: *mut CUmodule,
        image: *const ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuModuleLoadData
            .as_ref()
            .expect("Expected function, got error."))(module, image)
    }
    #[doc = " \\brief Load a module's data with options\n\n Takes a pointer \\p image and loads the corresponding module \\p module into\n the current context. The pointer may be obtained by mapping a \\e cubin or\n \\e PTX or \\e fatbin file, passing a \\e cubin or \\e PTX or \\e fatbin file\n as a NULL-terminated text string, or incorporating a \\e cubin or \\e fatbin\n object into the executable resources and using operating system calls such\n as Windows \\c FindResource() to obtain the pointer. Options are passed as\n an array via \\p options and any corresponding parameters are passed in\n \\p optionValues. The number of total options is supplied via \\p numOptions.\n Any outputs will be returned via \\p optionValues.\n\n \\param module       - Returned module\n \\param image        - Module data to load\n \\param numOptions   - Number of options\n \\param options      - Options for JIT\n \\param optionValues - Option values for JIT\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n \\notefnerr\n\n \\sa ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleLoadDataEx(
        &self,
        module: *mut CUmodule,
        image: *const ::std::os::raw::c_void,
        numOptions: ::std::os::raw::c_uint,
        options: *mut CUjit_option,
        optionValues: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuModuleLoadDataEx
            .as_ref()
            .expect("Expected function, got error."))(
            module,
            image,
            numOptions,
            options,
            optionValues,
        )
    }
    #[doc = " \\brief Load a module's data\n\n Takes a pointer \\p fatCubin and loads the corresponding module \\p module\n into the current context. The pointer represents a <i>fat binary</i> object,\n which is a collection of different \\e cubin and/or \\e PTX files, all\n representing the same device code, but compiled and optimized for different\n architectures.\n\n Prior to CUDA 4.0, there was no documented API for constructing and using\n fat binary objects by programmers.  Starting with CUDA 4.0, fat binary\n objects can be constructed by providing the <i>-fatbin option</i> to \\b nvcc.\n More information can be found in the \\b nvcc document.\n\n \\param module   - Returned module\n \\param fatCubin - Fat binary to load\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_NOT_FOUND,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n \\notefnerr\n\n \\sa ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleLoadFatBinary(
        &self,
        module: *mut CUmodule,
        fatCubin: *const ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuModuleLoadFatBinary
            .as_ref()
            .expect("Expected function, got error."))(module, fatCubin)
    }
    #[doc = " \\brief Unloads a module\n\n Unloads a module \\p hmod from the current context.\n\n \\param hmod - Module to unload\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_destroy_ub\n\n \\sa ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary"]
    pub unsafe fn cuModuleUnload(&self, hmod: CUmodule) -> CUresult {
        (self
            .cuModuleUnload
            .as_ref()
            .expect("Expected function, got error."))(hmod)
    }
    #[doc = " \\brief Query lazy loading mode\n\n Returns lazy loading mode\n Module loading mode is controlled by CUDA_MODULE_LOADING env variable\n\n \\param mode      - Returns the lazy loading mode\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\notefnerr\n\n \\sa\n ::cuModuleLoad,"]
    pub unsafe fn cuModuleGetLoadingMode(&self, mode: *mut CUmoduleLoadingMode) -> CUresult {
        (self
            .cuModuleGetLoadingMode
            .as_ref()
            .expect("Expected function, got error."))(mode)
    }
    #[doc = " \\brief Returns a function handle\n\n Returns in \\p *hfunc the handle of the function of name \\p name located in\n module \\p hmod. If no function of that name exists, ::cuModuleGetFunction()\n returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param hfunc - Returned function handle\n \\param hmod  - Module to retrieve function from\n \\param name  - Name of function to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_FOUND\n \\notefnerr\n\n \\sa ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleGetFunction(
        &self,
        hfunc: *mut CUfunction,
        hmod: CUmodule,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuModuleGetFunction
            .as_ref()
            .expect("Expected function, got error."))(hfunc, hmod, name)
    }
    pub unsafe fn cuModuleGetGlobal_v2(
        &self,
        dptr: *mut CUdeviceptr,
        bytes: *mut usize,
        hmod: CUmodule,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuModuleGetGlobal_v2
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytes, hmod, name)
    }
    pub unsafe fn cuLinkCreate_v2(
        &self,
        numOptions: ::std::os::raw::c_uint,
        options: *mut CUjit_option,
        optionValues: *mut *mut ::std::os::raw::c_void,
        stateOut: *mut CUlinkState,
    ) -> CUresult {
        (self
            .cuLinkCreate_v2
            .as_ref()
            .expect("Expected function, got error."))(
            numOptions, options, optionValues, stateOut
        )
    }
    pub unsafe fn cuLinkAddData_v2(
        &self,
        state: CUlinkState,
        type_: CUjitInputType,
        data: *mut ::std::os::raw::c_void,
        size: usize,
        name: *const ::std::os::raw::c_char,
        numOptions: ::std::os::raw::c_uint,
        options: *mut CUjit_option,
        optionValues: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLinkAddData_v2
            .as_ref()
            .expect("Expected function, got error."))(
            state,
            type_,
            data,
            size,
            name,
            numOptions,
            options,
            optionValues,
        )
    }
    pub unsafe fn cuLinkAddFile_v2(
        &self,
        state: CUlinkState,
        type_: CUjitInputType,
        path: *const ::std::os::raw::c_char,
        numOptions: ::std::os::raw::c_uint,
        options: *mut CUjit_option,
        optionValues: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLinkAddFile_v2
            .as_ref()
            .expect("Expected function, got error."))(
            state,
            type_,
            path,
            numOptions,
            options,
            optionValues,
        )
    }
    #[doc = " \\brief Complete a pending linker invocation\n\n Completes the pending linker action and returns the cubin image for the linked\n device code, which can be used with ::cuModuleLoadData.  The cubin is owned by\n \\p state, so it should be loaded before \\p state is destroyed via ::cuLinkDestroy.\n This call does not destroy \\p state.\n\n \\param state    A pending linker invocation\n \\param cubinOut On success, this will point to the output image\n \\param sizeOut  Optional parameter to receive the size of the generated image\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuLinkCreate,\n ::cuLinkAddData,\n ::cuLinkAddFile,\n ::cuLinkDestroy,\n ::cuModuleLoadData"]
    pub unsafe fn cuLinkComplete(
        &self,
        state: CUlinkState,
        cubinOut: *mut *mut ::std::os::raw::c_void,
        sizeOut: *mut usize,
    ) -> CUresult {
        (self
            .cuLinkComplete
            .as_ref()
            .expect("Expected function, got error."))(state, cubinOut, sizeOut)
    }
    #[doc = " \\brief Destroys state for a JIT linker invocation.\n\n \\param state State object for the linker invocation\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_HANDLE\n\n \\sa ::cuLinkCreate"]
    pub unsafe fn cuLinkDestroy(&self, state: CUlinkState) -> CUresult {
        (self
            .cuLinkDestroy
            .as_ref()
            .expect("Expected function, got error."))(state)
    }
    #[doc = " \\brief Returns a handle to a texture reference\n\n \\deprecated\n\n Returns in \\p *pTexRef the handle of the texture reference of name \\p name\n in the module \\p hmod. If no texture reference of that name exists,\n ::cuModuleGetTexRef() returns ::CUDA_ERROR_NOT_FOUND. This texture reference\n handle should not be destroyed, since it will be destroyed when the module\n is unloaded.\n\n \\param pTexRef  - Returned texture reference\n \\param hmod     - Module to retrieve texture reference from\n \\param name     - Name of texture reference to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_FOUND\n \\notefnerr\n\n \\sa\n ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetSurfRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleGetTexRef(
        &self,
        pTexRef: *mut CUtexref,
        hmod: CUmodule,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuModuleGetTexRef
            .as_ref()
            .expect("Expected function, got error."))(pTexRef, hmod, name)
    }
    #[doc = " \\brief Returns a handle to a surface reference\n\n \\deprecated\n\n Returns in \\p *pSurfRef the handle of the surface reference of name \\p name\n in the module \\p hmod. If no surface reference of that name exists,\n ::cuModuleGetSurfRef() returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param pSurfRef  - Returned surface reference\n \\param hmod     - Module to retrieve surface reference from\n \\param name     - Name of surface reference to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_FOUND\n \\notefnerr\n\n \\sa\n ::cuModuleGetFunction,\n ::cuModuleGetGlobal,\n ::cuModuleGetTexRef,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx,\n ::cuModuleLoadFatBinary,\n ::cuModuleUnload"]
    pub unsafe fn cuModuleGetSurfRef(
        &self,
        pSurfRef: *mut CUsurfref,
        hmod: CUmodule,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuModuleGetSurfRef
            .as_ref()
            .expect("Expected function, got error."))(pSurfRef, hmod, name)
    }
    #[doc = " \\brief Load a library with specified code and options\n\n Takes a pointer \\p code and loads the corresponding library \\p library into\n all contexts existent at the time of the call and future contexts at the time\n of creation until the library is unloaded with ::cuLibraryUnload().\n\n The pointer may be obtained by mapping a \\e cubin or \\e PTX or \\e fatbin file,\n passing a \\e cubin or \\e PTX or \\e fatbin file as a NULL-terminated text string, or\n incorporating a \\e cubin or \\e fatbin object into the executable resources and\n using operating system calls such as Windows \\c FindResource() to obtain the pointer.\n Options are passed as an array via \\p jitOptions and any corresponding parameters are passed in\n \\p jitOptionsValues. The number of total JTT options is supplied via \\p numJitOptions.\n Any outputs will be returned via \\p jitOptionsValues.\n\n \\param library             - Returned library\n \\param code                - Code to load\n \\param jitOptions          - Options for JIT\n \\param jitOptionsValues    - Option values for JIT\n \\param numJitOptions       - Number of options\n \\param libraryOptions      - Options for loading\n \\param libraryOptionValues - Option values for loading\n \\param numLibraryOptions   - Number of options for loading\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n\n \\sa ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx"]
    pub unsafe fn cuLibraryLoadData(
        &self,
        library: *mut CUlibrary,
        code: *const ::std::os::raw::c_void,
        jitOptions: *mut CUjit_option,
        jitOptionsValues: *mut *mut ::std::os::raw::c_void,
        numJitOptions: ::std::os::raw::c_uint,
        libraryOptions: *mut CUlibraryOption,
        libraryOptionValues: *mut *mut ::std::os::raw::c_void,
        numLibraryOptions: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuLibraryLoadData
            .as_ref()
            .expect("Expected function, got error."))(
            library,
            code,
            jitOptions,
            jitOptionsValues,
            numJitOptions,
            libraryOptions,
            libraryOptionValues,
            numLibraryOptions,
        )
    }
    #[doc = " \\brief Load a library with specified file and options\n\n Takes a filename \\p fileName and loads the corresponding library \\p library into\n all contexts existent at the time of the call and future contexts at the time of\n creation until the library is unloaded with ::cuLibraryUnload().\n\n The file should be a \\e cubin file as output by \\b nvcc, or a \\e PTX file either\n as output by \\b nvcc or handwritten, or a \\e fatbin file as output by \\b nvcc\n from toolchain 4.0 or later.\n\n Options are passed as an array via \\p jitOptions and any corresponding parameters are\n passed in \\p jitOptionsValues. The number of total options is supplied via \\p numJitOptions.\n Any outputs will be returned via \\p jitOptionsValues.\n\n \\param library             - Returned library\n \\param code                - Code to load\n \\param jitOptions          - Options for JIT\n \\param jitOptionsValues    - Option values for JIT\n \\param numJitOptions       - Number of options\n \\param libraryOptions      - Options for loading\n \\param libraryOptionValues - Option values for loading\n \\param numLibraryOptions   - Number of options for loading\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_PTX,\n ::CUDA_ERROR_UNSUPPORTED_PTX_VERSION,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NO_BINARY_FOR_GPU,\n ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_JIT_COMPILER_NOT_FOUND\n\n \\sa ::cuLibraryLoadData,\n :: cuLibraryUnload,\n ::cuModuleLoad,\n ::cuModuleLoadData,\n ::cuModuleLoadDataEx"]
    pub unsafe fn cuLibraryLoadFromFile(
        &self,
        library: *mut CUlibrary,
        fileName: *const ::std::os::raw::c_char,
        jitOptions: *mut CUjit_option,
        jitOptionsValues: *mut *mut ::std::os::raw::c_void,
        numJitOptions: ::std::os::raw::c_uint,
        libraryOptions: *mut CUlibraryOption,
        libraryOptionValues: *mut *mut ::std::os::raw::c_void,
        numLibraryOptions: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuLibraryLoadFromFile
            .as_ref()
            .expect("Expected function, got error."))(
            library,
            fileName,
            jitOptions,
            jitOptionsValues,
            numJitOptions,
            libraryOptions,
            libraryOptionValues,
            numLibraryOptions,
        )
    }
    #[doc = " \\brief Unloads a library\n\n Unloads the library specified with \\p library\n\n \\param library - Library to unload\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuLibraryLoadData\n ::cuLibraryLoadFromFile,\n ::cuModuleUnload"]
    pub unsafe fn cuLibraryUnload(&self, library: CUlibrary) -> CUresult {
        (self
            .cuLibraryUnload
            .as_ref()
            .expect("Expected function, got error."))(library)
    }
    #[doc = " \\brief Returns a kernel handle\n\n Returns in \\p pKernel the handle of the kernel with name \\p name located in library \\p library.\n If kernel handle is not found, the call returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param pKernel - Returned kernel handle\n \\param library - Library to retrieve kernel from\n \\param name - Name of kernel to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuKernelGetFunction,\n ::cuLibraryGetModule,\n ::cuModuleGetFunction"]
    pub unsafe fn cuLibraryGetKernel(
        &self,
        pKernel: *mut CUkernel,
        library: CUlibrary,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuLibraryGetKernel
            .as_ref()
            .expect("Expected function, got error."))(pKernel, library, name)
    }
    #[doc = " \\brief Returns a module handle\n\n Returns in \\p pMod the module handle associated with the current context located in\n library \\p library. If module handle is not found, the call returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param pMod - Returned module handle\n \\param library - Library to retrieve module from\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuModuleGetFunction"]
    pub unsafe fn cuLibraryGetModule(&self, pMod: *mut CUmodule, library: CUlibrary) -> CUresult {
        (self
            .cuLibraryGetModule
            .as_ref()
            .expect("Expected function, got error."))(pMod, library)
    }
    #[doc = " \\brief Returns a function handle\n\n Returns in \\p pFunc the handle of the function for the requested kernel \\p kernel and\n the current context. If function handle is not found, the call returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param pFunc - Returned function handle\n \\param kernel - Kernel to retrieve function for the requested context\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuLibraryGetKernel,\n ::cuLibraryGetModule,\n ::cuModuleGetFunction"]
    pub unsafe fn cuKernelGetFunction(&self, pFunc: *mut CUfunction, kernel: CUkernel) -> CUresult {
        (self
            .cuKernelGetFunction
            .as_ref()
            .expect("Expected function, got error."))(pFunc, kernel)
    }
    #[doc = " \\brief Returns a global device pointer\n\n Returns in \\p *dptr and \\p *bytes the base pointer and size of the global with\n name \\p name for the requested library \\p library and the current context.\n If no global for the requested name \\p name exists, the call returns ::CUDA_ERROR_NOT_FOUND.\n One of the parameters \\p dptr or \\p bytes (not both) can be NULL in which\n case it is ignored.\n\n \\param dptr - Returned global device pointer for the requested context\n \\param bytes - Returned global size in bytes\n \\param library - Library to retrieve global from\n \\param name - Name of global to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuLibraryGetModule,\n cuModuleGetGlobal"]
    pub unsafe fn cuLibraryGetGlobal(
        &self,
        dptr: *mut CUdeviceptr,
        bytes: *mut usize,
        library: CUlibrary,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuLibraryGetGlobal
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytes, library, name)
    }
    #[doc = " \\brief Returns a pointer to managed memory\n\n Returns in \\p *dptr and \\p *bytes the base pointer and size of the managed memory with\n name \\p name for the requested library \\p library. If no managed memory with the\n requested name \\p name exists, the call returns ::CUDA_ERROR_NOT_FOUND. One of the parameters\n \\p dptr or \\p bytes (not both) can be NULL in which case it is ignored.\n Note that managed memory for library \\p library is shared across devices and is registered\n when the library is loaded into atleast one context.\n\n \\note The API requires a CUDA context to be present and initialized on at least one device.\n If no context is present, the call returns ::CUDA_ERROR_NOT_FOUND.\n\n \\param dptr - Returned pointer to the managed memory\n \\param bytes - Returned memory size in bytes\n \\param library - Library to retrieve managed memory from\n \\param name - Name of managed memory to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,"]
    pub unsafe fn cuLibraryGetManaged(
        &self,
        dptr: *mut CUdeviceptr,
        bytes: *mut usize,
        library: CUlibrary,
        name: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuLibraryGetManaged
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytes, library, name)
    }
    #[doc = " \\brief Returns a pointer to a universal function\n\n Returns in \\p *fptr the function pointer to a global function denoted by \\p symbol.\n If no universal function with name \\p symbol exists, the call returns ::CUDA_ERROR_NOT_FOUND.\n If there is no device with attrubute ::CU_DEVICE_ATTRIBUTE_UNIFIED_FUNCTION_POINTERS present in the system,\n the call may return ::CUDA_ERROR_NOT_FOUND.\n\n \\param fptr - Returned pointer to a universal function\n \\param library - Library to retrieve function pointer memory from\n \\param symbol - Name of function pointer to retrieve\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_FOUND,\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,"]
    pub unsafe fn cuLibraryGetUnifiedFunction(
        &self,
        fptr: *mut *mut ::std::os::raw::c_void,
        library: CUlibrary,
        symbol: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuLibraryGetUnifiedFunction
            .as_ref()
            .expect("Expected function, got error."))(fptr, library, symbol)
    }
    #[doc = " \\brief Returns information about a kernel\n\n Returns in \\p *pi the integer value of the attribute \\p attrib for the kernel\n \\p kernel for the requested device \\p dev. The supported attributes are:\n - ::CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK: The maximum number of threads\n   per block, beyond which a launch of the kernel would fail. This number\n   depends on both the kernel and the requested device.\n - ::CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES: The size in bytes of\n   statically-allocated shared memory per block required by this kernel.\n   This does not include dynamically-allocated shared memory requested by\n   the user at runtime.\n - ::CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES: The size in bytes of user-allocated\n   constant memory required by this kernel.\n - ::CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES: The size in bytes of local memory\n   used by each thread of this kernel.\n - ::CU_FUNC_ATTRIBUTE_NUM_REGS: The number of registers used by each thread\n   of this kernel.\n - ::CU_FUNC_ATTRIBUTE_PTX_VERSION: The PTX virtual architecture version for\n   which the kernel was compiled. This value is the major PTX version * 10\n   + the minor PTX version, so a PTX version 1.3 function would return the\n   value 13. Note that this may return the undefined value of 0 for cubins\n   compiled prior to CUDA 3.0.\n - ::CU_FUNC_ATTRIBUTE_BINARY_VERSION: The binary architecture version for\n   which the kernel was compiled. This value is the major binary\n   version * 10 + the minor binary version, so a binary version 1.3 function\n   would return the value 13. Note that this will return a value of 10 for\n   legacy cubins that do not have a properly-encoded binary architecture\n   version.\n - ::CU_FUNC_CACHE_MODE_CA: The attribute to indicate whether the kernel has\n   been compiled with user specified option \"-Xptxas --dlcm=ca\" set.\n - ::CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES: The maximum size in bytes of\n   dynamically-allocated shared memory.\n - ::CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT: Preferred shared memory-L1\n   cache split ratio in percent of total shared memory.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SIZE_MUST_BE_SET: If this attribute is set, the\n   kernel must launch with a valid cluster size specified.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_WIDTH: The required cluster width in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_HEIGHT: The required cluster height in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_DEPTH: The required cluster depth in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_NON_PORTABLE_CLUSTER_SIZE_ALLOWED: Indicates whether\n   the function can be launched with non-portable cluster size. 1 is allowed,\n   0 is disallowed. A non-portable cluster size may only function on the\n   specific SKUs the program is tested on. The launch might fail if the\n   program is run on a different hardware platform. CUDA API provides\n   cudaOccupancyMaxActiveClusters to assist with checking whether the desired\n   size can be launched on the current device. A portable cluster size is\n   guaranteed to be functional on all compute capabilities higher than the\n   target compute capability. The portable cluster size for sm_90 is 8 blocks\n   per cluster. This value may increase for future compute capabilities. The\n   specific hardware unit may support higher cluster sizes that’s not\n   guaranteed to be portable.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE: The block\n   scheduling policy of a function. The value type is CUclusterSchedulingPolicy.\n\n \\note If another thread is trying to set the same attribute on the same device using\n ::cuKernelSetAttribute() simultaneously, the attribute query will give the old or new\n value depending on the interleavings chosen by the OS scheduler and memory consistency.\n\n \\param pi     - Returned attribute value\n \\param attrib - Attribute requested\n \\param kernel  - Kernel to query attribute of\n \\param dev - Device to query attribute of\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuKernelSetAttribute,\n ::cuLibraryGetKernel,\n ::cuLaunchKernel,\n ::cuKernelGetFunction,\n ::cuLibraryGetModule,\n ::cuModuleGetFunction,\n ::cuFuncGetAttribute"]
    pub unsafe fn cuKernelGetAttribute(
        &self,
        pi: *mut ::std::os::raw::c_int,
        attrib: CUfunction_attribute,
        kernel: CUkernel,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuKernelGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(pi, attrib, kernel, dev)
    }
    #[doc = " \\brief Sets information about a kernel\n\n This call sets the value of a specified attribute \\p attrib on the kernel \\p kernel\n for the requested device \\p dev to an integer value specified by \\p val.\n This function returns CUDA_SUCCESS if the new value of the attribute could be\n successfully set. If the set fails, this call will return an error.\n Not all attributes can have values set. Attempting to set a value on a read-only\n attribute will result in an error (CUDA_ERROR_INVALID_VALUE)\n\n Note that attributes set using ::cuFuncSetAttribute() will override the attribute\n set by this API irrespective of whether the call to ::cuFuncSetAttribute() is made\n before or after this API call. However, ::cuKernelGetAttribute() will always\n return the attribute value set by this API.\n\n Supported attributes are:\n - ::CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES: This is the maximum size in bytes of\n   dynamically-allocated shared memory. The value should contain the requested\n   maximum size of dynamically-allocated shared memory. The sum of this value and\n   the function attribute ::CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES cannot exceed the\n   device attribute ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN.\n   The maximal size of requestable dynamic shared memory may differ by GPU\n   architecture.\n - ::CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT: On devices where the L1\n   cache and shared memory use the same hardware resources, this sets the shared memory\n   carveout preference, in percent of the total shared memory.\n   See ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR\n   This is only a hint, and the driver can choose a different ratio if required to execute the function.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_WIDTH: The required cluster width in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_HEIGHT: The required cluster height in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_DEPTH: The required cluster depth in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE: The block\n   scheduling policy of a function. The value type is CUclusterSchedulingPolicy.\n\n \\note The API has stricter locking requirements in comparison to its legacy counterpart\n ::cuFuncSetAttribute() due to device-wide semantics. If multiple threads are trying to\n set the same attribute on the same device simultaneously, the attribute setting will depend\n on the interleavings chosen by the OS scheduler and memory consistency.\n\n \\param attrib - Attribute requested\n \\param val - Value to set\n \\param kernel  - Kernel to set attribute of\n \\param dev - Device to set attribute of\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuKernelGetAttribute,\n ::cuLibraryGetKernel,\n ::cuLaunchKernel,\n ::cuKernelGetFunction,\n ::cuLibraryGetModule,\n ::cuModuleGetFunction,\n ::cuFuncSetAttribute"]
    pub unsafe fn cuKernelSetAttribute(
        &self,
        attrib: CUfunction_attribute,
        val: ::std::os::raw::c_int,
        kernel: CUkernel,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuKernelSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(attrib, val, kernel, dev)
    }
    #[doc = " \\brief Sets the preferred cache configuration for a device kernel.\n\n On devices where the L1 cache and shared memory use the same hardware\n resources, this sets through \\p config the preferred cache configuration for\n the device kernel \\p kernel on the requested device \\p dev. This is only a preference.\n The driver will use the requested configuration if possible, but it is free to choose a different\n configuration if required to execute \\p kernel.  Any context-wide preference\n set via ::cuCtxSetCacheConfig() will be overridden by this per-kernel\n setting.\n\n Note that attributes set using ::cuFuncSetCacheConfig() will override the attribute\n set by this API irrespective of whether the call to ::cuFuncSetCacheConfig() is made\n before or after this API call.\n\n This setting does nothing on devices where the size of the L1 cache and\n shared memory are fixed.\n\n Launching a kernel with a different preference than the most recent\n preference setting may insert a device-side synchronization point.\n\n\n The supported cache configurations are:\n - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)\n - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache\n - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory\n - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory\n\n \\note The API has stricter locking requirements in comparison to its legacy counterpart\n ::cuFuncSetCacheConfig() due to device-wide semantics. If multiple threads are trying to\n set a config on the same device simultaneously, the cache config setting will depend\n on the interleavings chosen by the OS scheduler and memory consistency.\n\n \\param kernel  - Kernel to configure cache for\n \\param config - Requested cache configuration\n \\param dev - Device to set attribute of\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuLibraryLoadData,\n ::cuLibraryLoadFromFile,\n ::cuLibraryUnload,\n ::cuLibraryGetKernel,\n ::cuKernelGetFunction,\n ::cuLibraryGetModule,\n ::cuModuleGetFunction,\n ::cuFuncSetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuLaunchKernel"]
    pub unsafe fn cuKernelSetCacheConfig(
        &self,
        kernel: CUkernel,
        config: CUfunc_cache,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuKernelSetCacheConfig
            .as_ref()
            .expect("Expected function, got error."))(kernel, config, dev)
    }
    pub unsafe fn cuMemGetInfo_v2(&self, free: *mut usize, total: *mut usize) -> CUresult {
        (self
            .cuMemGetInfo_v2
            .as_ref()
            .expect("Expected function, got error."))(free, total)
    }
    pub unsafe fn cuMemAlloc_v2(&self, dptr: *mut CUdeviceptr, bytesize: usize) -> CUresult {
        (self
            .cuMemAlloc_v2
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytesize)
    }
    pub unsafe fn cuMemAllocPitch_v2(
        &self,
        dptr: *mut CUdeviceptr,
        pPitch: *mut usize,
        WidthInBytes: usize,
        Height: usize,
        ElementSizeBytes: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMemAllocPitch_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dptr,
            pPitch,
            WidthInBytes,
            Height,
            ElementSizeBytes,
        )
    }
    pub unsafe fn cuMemFree_v2(&self, dptr: CUdeviceptr) -> CUresult {
        (self
            .cuMemFree_v2
            .as_ref()
            .expect("Expected function, got error."))(dptr)
    }
    pub unsafe fn cuMemGetAddressRange_v2(
        &self,
        pbase: *mut CUdeviceptr,
        psize: *mut usize,
        dptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuMemGetAddressRange_v2
            .as_ref()
            .expect("Expected function, got error."))(pbase, psize, dptr)
    }
    pub unsafe fn cuMemAllocHost_v2(
        &self,
        pp: *mut *mut ::std::os::raw::c_void,
        bytesize: usize,
    ) -> CUresult {
        (self
            .cuMemAllocHost_v2
            .as_ref()
            .expect("Expected function, got error."))(pp, bytesize)
    }
    #[doc = " \\brief Frees page-locked host memory\n\n Frees the memory space pointed to by \\p p, which must have been returned by\n a previous call to ::cuMemAllocHost().\n\n \\param p - Pointer to memory to free\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,\n ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,\n ::cudaFreeHost"]
    pub unsafe fn cuMemFreeHost(&self, p: *mut ::std::os::raw::c_void) -> CUresult {
        (self
            .cuMemFreeHost
            .as_ref()
            .expect("Expected function, got error."))(p)
    }
    #[doc = " \\brief Allocates page-locked host memory\n\n Allocates \\p bytesize bytes of host memory that is page-locked and accessible\n to the device. The driver tracks the virtual memory ranges allocated with\n this function and automatically accelerates calls to functions such as\n ::cuMemcpyHtoD(). Since the memory can be accessed directly by the device,\n it can be read or written with much higher bandwidth than pageable memory\n obtained with functions such as ::malloc(). Allocating excessive amounts of\n pinned memory may degrade system performance, since it reduces the amount\n of memory available to the system for paging. As a result, this function is\n best used sparingly to allocate staging areas for data exchange between\n host and device.\n\n The \\p Flags parameter enables different options to be specified that\n affect the allocation, as follows.\n\n - ::CU_MEMHOSTALLOC_PORTABLE: The memory returned by this call will be\n   considered as pinned memory by all CUDA contexts, not just the one that\n   performed the allocation.\n\n - ::CU_MEMHOSTALLOC_DEVICEMAP: Maps the allocation into the CUDA address\n   space. The device pointer to the memory may be obtained by calling\n   ::cuMemHostGetDevicePointer().\n\n - ::CU_MEMHOSTALLOC_WRITECOMBINED: Allocates the memory as write-combined\n   (WC). WC memory can be transferred across the PCI Express bus more\n   quickly on some system configurations, but cannot be read efficiently by\n   most CPUs. WC memory is a good option for buffers that will be written by\n   the CPU and read by the GPU via mapped pinned memory or host->device\n   transfers.\n\n All of these flags are orthogonal to one another: a developer may allocate\n memory that is portable, mapped and/or write-combined with no restrictions.\n\n The ::CU_MEMHOSTALLOC_DEVICEMAP flag may be specified on CUDA contexts for\n devices that do not support mapped pinned memory. The failure is deferred\n to ::cuMemHostGetDevicePointer() because the memory may be mapped into\n other CUDA contexts via the ::CU_MEMHOSTALLOC_PORTABLE flag.\n\n The memory allocated by this function must be freed with ::cuMemFreeHost().\n\n Note all host memory allocated using ::cuMemHostAlloc() will automatically\n be immediately accessible to all contexts on all devices which support unified\n addressing (as may be queried using ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING).\n Unless the flag ::CU_MEMHOSTALLOC_WRITECOMBINED is specified, the device pointer\n that may be used to access this host memory from those contexts is always equal\n to the returned host pointer \\p *pp.  If the flag ::CU_MEMHOSTALLOC_WRITECOMBINED\n is specified, then the function ::cuMemHostGetDevicePointer() must be used\n to query the device pointer, even if the context supports unified addressing.\n See \\ref CUDA_UNIFIED for additional details.\n\n \\param pp       - Returned host pointer to page-locked memory\n \\param bytesize - Requested allocation size in bytes\n \\param Flags    - Flags for allocation request\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,\n ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,\n ::cudaHostAlloc"]
    pub unsafe fn cuMemHostAlloc(
        &self,
        pp: *mut *mut ::std::os::raw::c_void,
        bytesize: usize,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMemHostAlloc
            .as_ref()
            .expect("Expected function, got error."))(pp, bytesize, Flags)
    }
    pub unsafe fn cuMemHostGetDevicePointer_v2(
        &self,
        pdptr: *mut CUdeviceptr,
        p: *mut ::std::os::raw::c_void,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMemHostGetDevicePointer_v2
            .as_ref()
            .expect("Expected function, got error."))(pdptr, p, Flags)
    }
    #[doc = " \\brief Passes back flags that were used for a pinned allocation\n\n Passes back the flags \\p pFlags that were specified when allocating\n the pinned host buffer \\p p allocated by ::cuMemHostAlloc.\n\n ::cuMemHostGetFlags() will fail if the pointer does not reside in\n an allocation performed by ::cuMemAllocHost() or ::cuMemHostAlloc().\n\n \\param pFlags - Returned flags word\n \\param p     - Host pointer\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cuMemAllocHost,\n ::cuMemHostAlloc,\n ::cudaHostGetFlags"]
    pub unsafe fn cuMemHostGetFlags(
        &self,
        pFlags: *mut ::std::os::raw::c_uint,
        p: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuMemHostGetFlags
            .as_ref()
            .expect("Expected function, got error."))(pFlags, p)
    }
    #[doc = " \\brief Allocates memory that will be automatically managed by the Unified Memory system\n\n Allocates \\p bytesize bytes of managed memory on the device and returns in\n \\p *dptr a pointer to the allocated memory. If the device doesn't support\n allocating managed memory, ::CUDA_ERROR_NOT_SUPPORTED is returned. Support\n for managed memory can be queried using the device attribute\n ::CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY. The allocated memory is suitably\n aligned for any kind of variable. The memory is not cleared. If \\p bytesize\n is 0, ::cuMemAllocManaged returns ::CUDA_ERROR_INVALID_VALUE. The pointer\n is valid on the CPU and on all GPUs in the system that support managed memory.\n All accesses to this pointer must obey the Unified Memory programming model.\n\n \\p flags specifies the default stream association for this allocation.\n \\p flags must be one of ::CU_MEM_ATTACH_GLOBAL or ::CU_MEM_ATTACH_HOST. If\n ::CU_MEM_ATTACH_GLOBAL is specified, then this memory is accessible from\n any stream on any device. If ::CU_MEM_ATTACH_HOST is specified, then the\n allocation should not be accessed from devices that have a zero value for the\n device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS; an explicit call to\n ::cuStreamAttachMemAsync will be required to enable access on such devices.\n\n If the association is later changed via ::cuStreamAttachMemAsync to\n a single stream, the default association as specifed during ::cuMemAllocManaged\n is restored when that stream is destroyed. For __managed__ variables, the\n default association is always ::CU_MEM_ATTACH_GLOBAL. Note that destroying a\n stream is an asynchronous operation, and as a result, the change to default\n association won't happen until all work in the stream has completed.\n\n Memory allocated with ::cuMemAllocManaged should be released with ::cuMemFree.\n\n Device memory oversubscription is possible for GPUs that have a non-zero value for the\n device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS. Managed memory on\n such GPUs may be evicted from device memory to host memory at any time by the Unified\n Memory driver in order to make room for other allocations.\n\n In a multi-GPU system where all GPUs have a non-zero value for the device attribute\n ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS, managed memory may not be populated when this\n API returns and instead may be populated on access. In such systems, managed memory can\n migrate to any processor's memory at any time. The Unified Memory driver will employ heuristics to\n maintain data locality and prevent excessive page faults to the extent possible. The application\n can also guide the driver about memory usage patterns via ::cuMemAdvise. The application\n can also explicitly migrate memory to a desired processor's memory via\n ::cuMemPrefetchAsync.\n\n In a multi-GPU system where all of the GPUs have a zero value for the device attribute\n ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS and all the GPUs have peer-to-peer support\n with each other, the physical storage for managed memory is created on the GPU which is active\n at the time ::cuMemAllocManaged is called. All other GPUs will reference the data at reduced\n bandwidth via peer mappings over the PCIe bus. The Unified Memory driver does not migrate\n memory among such GPUs.\n\n In a multi-GPU system where not all GPUs have peer-to-peer support with each other and\n where the value of the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS\n is zero for at least one of those GPUs, the location chosen for physical storage of managed\n memory is system-dependent.\n - On Linux, the location chosen will be device memory as long as the current set of active\n contexts are on devices that either have peer-to-peer support with each other or have a\n non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS.\n If there is an active context on a GPU that does not have a non-zero value for that device\n attribute and it does not have peer-to-peer support with the other devices that have active\n contexts on them, then the location for physical storage will be 'zero-copy' or host memory.\n Note that this means that managed memory that is located in device memory is migrated to\n host memory if a new context is created on a GPU that doesn't have a non-zero value for\n the device attribute and does not support peer-to-peer with at least one of the other devices\n that has an active context. This in turn implies that context creation may fail if there is\n insufficient host memory to migrate all managed allocations.\n - On Windows, the physical storage is always created in 'zero-copy' or host memory.\n All GPUs will reference the data at reduced bandwidth over the PCIe bus. In these\n circumstances, use of the environment variable CUDA_VISIBLE_DEVICES is recommended to\n restrict CUDA to only use those GPUs that have peer-to-peer support.\n Alternatively, users can also set CUDA_MANAGED_FORCE_DEVICE_ALLOC to a\n non-zero value to force the driver to always use device memory for physical storage.\n When this environment variable is set to a non-zero value, all contexts created in\n that process on devices that support managed memory have to be peer-to-peer compatible\n with each other. Context creation will fail if a context is created on a device that\n supports managed memory and is not peer-to-peer compatible with any of the other\n managed memory supporting devices on which contexts were previously created, even if\n those contexts have been destroyed. These environment variables are described\n in the CUDA programming guide under the \"CUDA environment variables\" section.\n - On ARM, managed memory is not available on discrete gpu with Drive PX-2.\n\n \\param dptr     - Returned device pointer\n \\param bytesize - Requested allocation size in bytes\n \\param flags    - Must be one of ::CU_MEM_ATTACH_GLOBAL or ::CU_MEM_ATTACH_HOST\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,\n ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,\n ::cuDeviceGetAttribute, ::cuStreamAttachMemAsync,\n ::cudaMallocManaged"]
    pub unsafe fn cuMemAllocManaged(
        &self,
        dptr: *mut CUdeviceptr,
        bytesize: usize,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMemAllocManaged
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytesize, flags)
    }
    #[doc = " \\brief Returns a handle to a compute device\n\n Returns in \\p *device a device handle given a PCI bus ID string.\n\n \\param dev      - Returned device handle\n\n \\param pciBusId - String in one of the following forms:\n [domain]:[bus]:[device].[function]\n [domain]:[bus]:[device]\n [bus]:[device].[function]\n where \\p domain, \\p bus, \\p device, and \\p function are all hexadecimal values\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGet,\n ::cuDeviceGetAttribute,\n ::cuDeviceGetPCIBusId,\n ::cudaDeviceGetByPCIBusId"]
    pub unsafe fn cuDeviceGetByPCIBusId(
        &self,
        dev: *mut CUdevice,
        pciBusId: *const ::std::os::raw::c_char,
    ) -> CUresult {
        (self
            .cuDeviceGetByPCIBusId
            .as_ref()
            .expect("Expected function, got error."))(dev, pciBusId)
    }
    #[doc = " \\brief Returns a PCI Bus Id string for the device\n\n Returns an ASCII string identifying the device \\p dev in the NULL-terminated\n string pointed to by \\p pciBusId. \\p len specifies the maximum length of the\n string that may be returned.\n\n \\param pciBusId - Returned identifier string for the device in the following format\n [domain]:[bus]:[device].[function]\n where \\p domain, \\p bus, \\p device, and \\p function are all hexadecimal values.\n pciBusId should be large enough to store 13 characters including the NULL-terminator.\n\n \\param len      - Maximum length of string to store in \\p name\n\n \\param dev      - Device to get identifier string for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuDeviceGet,\n ::cuDeviceGetAttribute,\n ::cuDeviceGetByPCIBusId,\n ::cudaDeviceGetPCIBusId"]
    pub unsafe fn cuDeviceGetPCIBusId(
        &self,
        pciBusId: *mut ::std::os::raw::c_char,
        len: ::std::os::raw::c_int,
        dev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetPCIBusId
            .as_ref()
            .expect("Expected function, got error."))(pciBusId, len, dev)
    }
    #[doc = " \\brief Gets an interprocess handle for a previously allocated event\n\n Takes as input a previously allocated event. This event must have been\n created with the ::CU_EVENT_INTERPROCESS and ::CU_EVENT_DISABLE_TIMING\n flags set. This opaque handle may be copied into other processes and\n opened with ::cuIpcOpenEventHandle to allow efficient hardware\n synchronization between GPU work in different processes.\n\n After the event has been opened in the importing process,\n ::cuEventRecord, ::cuEventSynchronize, ::cuStreamWaitEvent and\n ::cuEventQuery may be used in either process. Performing operations\n on the imported event after the exported event has been freed\n with ::cuEventDestroy will result in undefined behavior.\n\n IPC functionality is restricted to devices with support for unified\n addressing on Linux and Windows operating systems.\n IPC functionality on Windows is restricted to GPUs in TCC mode\n Users can test their device for IPC functionality by calling\n ::cuapiDeviceGetAttribute with ::CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED\n\n \\param pHandle - Pointer to a user allocated CUipcEventHandle\n                    in which to return the opaque event handle\n \\param event   - Event allocated with ::CU_EVENT_INTERPROCESS and\n                    ::CU_EVENT_DISABLE_TIMING flags.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_MAP_FAILED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuEventCreate,\n ::cuEventDestroy,\n ::cuEventSynchronize,\n ::cuEventQuery,\n ::cuStreamWaitEvent,\n ::cuIpcOpenEventHandle,\n ::cuIpcGetMemHandle,\n ::cuIpcOpenMemHandle,\n ::cuIpcCloseMemHandle,\n ::cudaIpcGetEventHandle"]
    pub unsafe fn cuIpcGetEventHandle(
        &self,
        pHandle: *mut CUipcEventHandle,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuIpcGetEventHandle
            .as_ref()
            .expect("Expected function, got error."))(pHandle, event)
    }
    #[doc = " \\brief Opens an interprocess event handle for use in the current process\n\n Opens an interprocess event handle exported from another process with\n ::cuIpcGetEventHandle. This function returns a ::CUevent that behaves like\n a locally created event with the ::CU_EVENT_DISABLE_TIMING flag specified.\n This event must be freed with ::cuEventDestroy.\n\n Performing operations on the imported event after the exported event has\n been freed with ::cuEventDestroy will result in undefined behavior.\n\n IPC functionality is restricted to devices with support for unified\n addressing on Linux and Windows operating systems.\n IPC functionality on Windows is restricted to GPUs in TCC mode\n Users can test their device for IPC functionality by calling\n ::cuapiDeviceGetAttribute with ::CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED\n\n \\param phEvent - Returns the imported event\n \\param handle  - Interprocess handle to open\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_MAP_FAILED,\n ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuEventCreate,\n ::cuEventDestroy,\n ::cuEventSynchronize,\n ::cuEventQuery,\n ::cuStreamWaitEvent,\n ::cuIpcGetEventHandle,\n ::cuIpcGetMemHandle,\n ::cuIpcOpenMemHandle,\n ::cuIpcCloseMemHandle,\n ::cudaIpcOpenEventHandle"]
    pub unsafe fn cuIpcOpenEventHandle(
        &self,
        phEvent: *mut CUevent,
        handle: CUipcEventHandle,
    ) -> CUresult {
        (self
            .cuIpcOpenEventHandle
            .as_ref()
            .expect("Expected function, got error."))(phEvent, handle)
    }
    #[doc = " \\brief Gets an interprocess memory handle for an existing device memory\n allocation\n\n Takes a pointer to the base of an existing device memory allocation created\n with ::cuMemAlloc and exports it for use in another process. This is a\n lightweight operation and may be called multiple times on an allocation\n without adverse effects.\n\n If a region of memory is freed with ::cuMemFree and a subsequent call\n to ::cuMemAlloc returns memory with the same device address,\n ::cuIpcGetMemHandle will return a unique handle for the\n new memory.\n\n IPC functionality is restricted to devices with support for unified\n addressing on Linux and Windows operating systems.\n IPC functionality on Windows is restricted to GPUs in TCC mode\n Users can test their device for IPC functionality by calling\n ::cuapiDeviceGetAttribute with ::CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED\n\n \\param pHandle - Pointer to user allocated ::CUipcMemHandle to return\n                    the handle in.\n \\param dptr    - Base pointer to previously allocated device memory\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_MAP_FAILED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuMemAlloc,\n ::cuMemFree,\n ::cuIpcGetEventHandle,\n ::cuIpcOpenEventHandle,\n ::cuIpcOpenMemHandle,\n ::cuIpcCloseMemHandle,\n ::cudaIpcGetMemHandle"]
    pub unsafe fn cuIpcGetMemHandle(
        &self,
        pHandle: *mut CUipcMemHandle,
        dptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuIpcGetMemHandle
            .as_ref()
            .expect("Expected function, got error."))(pHandle, dptr)
    }
    pub unsafe fn cuIpcOpenMemHandle_v2(
        &self,
        pdptr: *mut CUdeviceptr,
        handle: CUipcMemHandle,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuIpcOpenMemHandle_v2
            .as_ref()
            .expect("Expected function, got error."))(pdptr, handle, Flags)
    }
    #[doc = " \\brief Attempts to close memory mapped with ::cuIpcOpenMemHandle\n\n Decrements the reference count of the memory returned by ::cuIpcOpenMemHandle by 1.\n When the reference count reaches 0, this API unmaps the memory. The original allocation\n in the exporting process as well as imported mappings in other processes\n will be unaffected.\n\n Any resources used to enable peer access will be freed if this is the\n last mapping using them.\n\n IPC functionality is restricted to devices with support for unified\n addressing on Linux and Windows operating systems.\n IPC functionality on Windows is restricted to GPUs in TCC mode\n Users can test their device for IPC functionality by calling\n ::cuapiDeviceGetAttribute with ::CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED\n\n \\param dptr - Device pointer returned by ::cuIpcOpenMemHandle\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_MAP_FAILED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\sa\n ::cuMemAlloc,\n ::cuMemFree,\n ::cuIpcGetEventHandle,\n ::cuIpcOpenEventHandle,\n ::cuIpcGetMemHandle,\n ::cuIpcOpenMemHandle,\n ::cudaIpcCloseMemHandle"]
    pub unsafe fn cuIpcCloseMemHandle(&self, dptr: CUdeviceptr) -> CUresult {
        (self
            .cuIpcCloseMemHandle
            .as_ref()
            .expect("Expected function, got error."))(dptr)
    }
    pub unsafe fn cuMemHostRegister_v2(
        &self,
        p: *mut ::std::os::raw::c_void,
        bytesize: usize,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMemHostRegister_v2
            .as_ref()
            .expect("Expected function, got error."))(p, bytesize, Flags)
    }
    #[doc = " \\brief Unregisters a memory range that was registered with cuMemHostRegister.\n\n Unmaps the memory range whose base address is specified by \\p p, and makes\n it pageable again.\n\n The base address must be the same one specified to ::cuMemHostRegister().\n\n \\param p - Host pointer to memory to unregister\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED,\n \\notefnerr\n\n \\sa\n ::cuMemHostRegister,\n ::cudaHostUnregister"]
    pub unsafe fn cuMemHostUnregister(&self, p: *mut ::std::os::raw::c_void) -> CUresult {
        (self
            .cuMemHostUnregister
            .as_ref()
            .expect("Expected function, got error."))(p)
    }
    #[doc = " \\brief Copies memory\n\n Copies data between two pointers.\n \\p dst and \\p src are base pointers of the destination and source, respectively.\n \\p ByteCount specifies the number of bytes to copy.\n Note that this function infers the type of the transfer (host to host, host to\n   device, device to device, or device to host) from the pointer values.  This\n   function is only allowed in contexts which support unified addressing.\n\n \\param dst - Destination unified virtual address space pointer\n \\param src - Source unified virtual address space pointer\n \\param ByteCount - Size of memory copy in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_sync\n \\note_memcpy\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,\n ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,\n ::cudaMemcpy,\n ::cudaMemcpyToSymbol,\n ::cudaMemcpyFromSymbol"]
    pub unsafe fn cuMemcpy(
        &self,
        dst: CUdeviceptr,
        src: CUdeviceptr,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpy
            .as_ref()
            .expect("Expected function, got error."))(dst, src, ByteCount)
    }
    #[doc = " \\brief Copies device memory between two contexts\n\n Copies from device memory in one context to device memory in another\n context. \\p dstDevice is the base device pointer of the destination memory\n and \\p dstContext is the destination context.  \\p srcDevice is the base\n device pointer of the source memory and \\p srcContext is the source pointer.\n \\p ByteCount specifies the number of bytes to copy.\n\n \\param dstDevice  - Destination device pointer\n \\param dstContext - Destination context\n \\param srcDevice  - Source device pointer\n \\param srcContext - Source context\n \\param ByteCount  - Size of memory copy in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_sync\n\n \\sa ::cuMemcpyDtoD, ::cuMemcpy3DPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,\n ::cuMemcpy3DPeerAsync,\n ::cudaMemcpyPeer"]
    pub unsafe fn cuMemcpyPeer(
        &self,
        dstDevice: CUdeviceptr,
        dstContext: CUcontext,
        srcDevice: CUdeviceptr,
        srcContext: CUcontext,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyPeer
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, dstContext, srcDevice, srcContext, ByteCount,
        )
    }
    pub unsafe fn cuMemcpyHtoD_v2(
        &self,
        dstDevice: CUdeviceptr,
        srcHost: *const ::std::os::raw::c_void,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyHtoD_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, srcHost, ByteCount)
    }
    pub unsafe fn cuMemcpyDtoH_v2(
        &self,
        dstHost: *mut ::std::os::raw::c_void,
        srcDevice: CUdeviceptr,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyDtoH_v2
            .as_ref()
            .expect("Expected function, got error."))(dstHost, srcDevice, ByteCount)
    }
    pub unsafe fn cuMemcpyDtoD_v2(
        &self,
        dstDevice: CUdeviceptr,
        srcDevice: CUdeviceptr,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyDtoD_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, srcDevice, ByteCount)
    }
    pub unsafe fn cuMemcpyDtoA_v2(
        &self,
        dstArray: CUarray,
        dstOffset: usize,
        srcDevice: CUdeviceptr,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyDtoA_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstArray, dstOffset, srcDevice, ByteCount
        )
    }
    pub unsafe fn cuMemcpyAtoD_v2(
        &self,
        dstDevice: CUdeviceptr,
        srcArray: CUarray,
        srcOffset: usize,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyAtoD_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, srcArray, srcOffset, ByteCount
        )
    }
    pub unsafe fn cuMemcpyHtoA_v2(
        &self,
        dstArray: CUarray,
        dstOffset: usize,
        srcHost: *const ::std::os::raw::c_void,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyHtoA_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstArray, dstOffset, srcHost, ByteCount
        )
    }
    pub unsafe fn cuMemcpyAtoH_v2(
        &self,
        dstHost: *mut ::std::os::raw::c_void,
        srcArray: CUarray,
        srcOffset: usize,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyAtoH_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstHost, srcArray, srcOffset, ByteCount
        )
    }
    pub unsafe fn cuMemcpyAtoA_v2(
        &self,
        dstArray: CUarray,
        dstOffset: usize,
        srcArray: CUarray,
        srcOffset: usize,
        ByteCount: usize,
    ) -> CUresult {
        (self
            .cuMemcpyAtoA_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstArray, dstOffset, srcArray, srcOffset, ByteCount,
        )
    }
    pub unsafe fn cuMemcpy2D_v2(&self, pCopy: *const CUDA_MEMCPY2D) -> CUresult {
        (self
            .cuMemcpy2D_v2
            .as_ref()
            .expect("Expected function, got error."))(pCopy)
    }
    pub unsafe fn cuMemcpy2DUnaligned_v2(&self, pCopy: *const CUDA_MEMCPY2D) -> CUresult {
        (self
            .cuMemcpy2DUnaligned_v2
            .as_ref()
            .expect("Expected function, got error."))(pCopy)
    }
    pub unsafe fn cuMemcpy3D_v2(&self, pCopy: *const CUDA_MEMCPY3D) -> CUresult {
        (self
            .cuMemcpy3D_v2
            .as_ref()
            .expect("Expected function, got error."))(pCopy)
    }
    #[doc = " \\brief Copies memory between contexts\n\n Perform a 3D memory copy according to the parameters specified in\n \\p pCopy.  See the definition of the ::CUDA_MEMCPY3D_PEER structure\n for documentation of its parameters.\n\n \\param pCopy - Parameters for the memory copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_sync\n\n \\sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,\n ::cuMemcpy3DPeerAsync,\n ::cudaMemcpy3DPeer"]
    pub unsafe fn cuMemcpy3DPeer(&self, pCopy: *const CUDA_MEMCPY3D_PEER) -> CUresult {
        (self
            .cuMemcpy3DPeer
            .as_ref()
            .expect("Expected function, got error."))(pCopy)
    }
    #[doc = " \\brief Copies memory asynchronously\n\n Copies data between two pointers.\n \\p dst and \\p src are base pointers of the destination and source, respectively.\n \\p ByteCount specifies the number of bytes to copy.\n Note that this function infers the type of the transfer (host to host, host to\n   device, device to device, or device to host) from the pointer values.  This\n   function is only allowed in contexts which support unified addressing.\n\n \\param dst       - Destination unified virtual address space pointer\n \\param src       - Source unified virtual address space pointer\n \\param ByteCount - Size of memory copy in bytes\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n \\note_async\n \\note_null_stream\n \\note_memcpy\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemcpyAsync,\n ::cudaMemcpyToSymbolAsync,\n ::cudaMemcpyFromSymbolAsync"]
    pub unsafe fn cuMemcpyAsync(
        &self,
        dst: CUdeviceptr,
        src: CUdeviceptr,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyAsync
            .as_ref()
            .expect("Expected function, got error."))(dst, src, ByteCount, hStream)
    }
    #[doc = " \\brief Copies device memory between two contexts asynchronously.\n\n Copies from device memory in one context to device memory in another\n context. \\p dstDevice is the base device pointer of the destination memory\n and \\p dstContext is the destination context.  \\p srcDevice is the base\n device pointer of the source memory and \\p srcContext is the source pointer.\n \\p ByteCount specifies the number of bytes to copy.\n\n \\param dstDevice  - Destination device pointer\n \\param dstContext - Destination context\n \\param srcDevice  - Source device pointer\n \\param srcContext - Source context\n \\param ByteCount  - Size of memory copy in bytes\n \\param hStream    - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n \\note_async\n \\note_null_stream\n\n \\sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpy3DPeer, ::cuMemcpyDtoDAsync,\n ::cuMemcpy3DPeerAsync,\n ::cudaMemcpyPeerAsync"]
    pub unsafe fn cuMemcpyPeerAsync(
        &self,
        dstDevice: CUdeviceptr,
        dstContext: CUcontext,
        srcDevice: CUdeviceptr,
        srcContext: CUcontext,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyPeerAsync
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, dstContext, srcDevice, srcContext, ByteCount, hStream,
        )
    }
    pub unsafe fn cuMemcpyHtoDAsync_v2(
        &self,
        dstDevice: CUdeviceptr,
        srcHost: *const ::std::os::raw::c_void,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyHtoDAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, srcHost, ByteCount, hStream)
    }
    pub unsafe fn cuMemcpyDtoHAsync_v2(
        &self,
        dstHost: *mut ::std::os::raw::c_void,
        srcDevice: CUdeviceptr,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyDtoHAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(dstHost, srcDevice, ByteCount, hStream)
    }
    pub unsafe fn cuMemcpyDtoDAsync_v2(
        &self,
        dstDevice: CUdeviceptr,
        srcDevice: CUdeviceptr,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyDtoDAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, srcDevice, ByteCount, hStream
        )
    }
    pub unsafe fn cuMemcpyHtoAAsync_v2(
        &self,
        dstArray: CUarray,
        dstOffset: usize,
        srcHost: *const ::std::os::raw::c_void,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyHtoAAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstArray, dstOffset, srcHost, ByteCount, hStream,
        )
    }
    pub unsafe fn cuMemcpyAtoHAsync_v2(
        &self,
        dstHost: *mut ::std::os::raw::c_void,
        srcArray: CUarray,
        srcOffset: usize,
        ByteCount: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpyAtoHAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(
            dstHost, srcArray, srcOffset, ByteCount, hStream,
        )
    }
    pub unsafe fn cuMemcpy2DAsync_v2(
        &self,
        pCopy: *const CUDA_MEMCPY2D,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpy2DAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(pCopy, hStream)
    }
    pub unsafe fn cuMemcpy3DAsync_v2(
        &self,
        pCopy: *const CUDA_MEMCPY3D,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpy3DAsync_v2
            .as_ref()
            .expect("Expected function, got error."))(pCopy, hStream)
    }
    #[doc = " \\brief Copies memory between contexts asynchronously.\n\n Perform a 3D memory copy according to the parameters specified in\n \\p pCopy.  See the definition of the ::CUDA_MEMCPY3D_PEER structure\n for documentation of its parameters.\n\n \\param pCopy - Parameters for the memory copy\n \\param hStream - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_async\n \\note_null_stream\n\n \\sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,\n ::cuMemcpy3DPeerAsync,\n ::cudaMemcpy3DPeerAsync"]
    pub unsafe fn cuMemcpy3DPeerAsync(
        &self,
        pCopy: *const CUDA_MEMCPY3D_PEER,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemcpy3DPeerAsync
            .as_ref()
            .expect("Expected function, got error."))(pCopy, hStream)
    }
    pub unsafe fn cuMemsetD8_v2(
        &self,
        dstDevice: CUdeviceptr,
        uc: ::std::os::raw::c_uchar,
        N: usize,
    ) -> CUresult {
        (self
            .cuMemsetD8_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, uc, N)
    }
    pub unsafe fn cuMemsetD16_v2(
        &self,
        dstDevice: CUdeviceptr,
        us: ::std::os::raw::c_ushort,
        N: usize,
    ) -> CUresult {
        (self
            .cuMemsetD16_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, us, N)
    }
    pub unsafe fn cuMemsetD32_v2(
        &self,
        dstDevice: CUdeviceptr,
        ui: ::std::os::raw::c_uint,
        N: usize,
    ) -> CUresult {
        (self
            .cuMemsetD32_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, ui, N)
    }
    pub unsafe fn cuMemsetD2D8_v2(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        uc: ::std::os::raw::c_uchar,
        Width: usize,
        Height: usize,
    ) -> CUresult {
        (self
            .cuMemsetD2D8_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, dstPitch, uc, Width, Height)
    }
    pub unsafe fn cuMemsetD2D16_v2(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        us: ::std::os::raw::c_ushort,
        Width: usize,
        Height: usize,
    ) -> CUresult {
        (self
            .cuMemsetD2D16_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, dstPitch, us, Width, Height)
    }
    pub unsafe fn cuMemsetD2D32_v2(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        ui: ::std::os::raw::c_uint,
        Width: usize,
        Height: usize,
    ) -> CUresult {
        (self
            .cuMemsetD2D32_v2
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, dstPitch, ui, Width, Height)
    }
    #[doc = " \\brief Sets device memory\n\n Sets the memory range of \\p N 8-bit values to the specified value\n \\p uc.\n\n \\param dstDevice - Destination device pointer\n \\param uc        - Value to set\n \\param N         - Number of elements\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD16Async,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemsetAsync"]
    pub unsafe fn cuMemsetD8Async(
        &self,
        dstDevice: CUdeviceptr,
        uc: ::std::os::raw::c_uchar,
        N: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD8Async
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, uc, N, hStream)
    }
    #[doc = " \\brief Sets device memory\n\n Sets the memory range of \\p N 16-bit values to the specified value\n \\p us. The \\p dstDevice pointer must be two byte aligned.\n\n \\param dstDevice - Destination device pointer\n \\param us        - Value to set\n \\param N         - Number of elements\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemsetAsync"]
    pub unsafe fn cuMemsetD16Async(
        &self,
        dstDevice: CUdeviceptr,
        us: ::std::os::raw::c_ushort,
        N: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD16Async
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, us, N, hStream)
    }
    #[doc = " \\brief Sets device memory\n\n Sets the memory range of \\p N 32-bit values to the specified value\n \\p ui. The \\p dstDevice pointer must be four byte aligned.\n\n \\param dstDevice - Destination device pointer\n \\param ui        - Value to set\n \\param N         - Number of elements\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async, ::cuMemsetD32,\n ::cudaMemsetAsync"]
    pub unsafe fn cuMemsetD32Async(
        &self,
        dstDevice: CUdeviceptr,
        ui: ::std::os::raw::c_uint,
        N: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD32Async
            .as_ref()
            .expect("Expected function, got error."))(dstDevice, ui, N, hStream)
    }
    #[doc = " \\brief Sets device memory\n\n Sets the 2D memory range of \\p Width 8-bit values to the specified value\n \\p uc. \\p Height specifies the number of rows to set, and \\p dstPitch\n specifies the number of bytes between each row. This function performs\n fastest when the pitch is one that has been passed back by\n ::cuMemAllocPitch().\n\n \\param dstDevice - Destination device pointer\n \\param dstPitch  - Pitch of destination device pointer(Unused if \\p Height is 1)\n \\param uc        - Value to set\n \\param Width     - Width of row\n \\param Height    - Number of rows\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemset2DAsync"]
    pub unsafe fn cuMemsetD2D8Async(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        uc: ::std::os::raw::c_uchar,
        Width: usize,
        Height: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD2D8Async
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, dstPitch, uc, Width, Height, hStream,
        )
    }
    #[doc = " \\brief Sets device memory\n\n Sets the 2D memory range of \\p Width 16-bit values to the specified value\n \\p us. \\p Height specifies the number of rows to set, and \\p dstPitch\n specifies the number of bytes between each row. The \\p dstDevice pointer\n and \\p dstPitch offset must be two byte aligned. This function performs\n fastest when the pitch is one that has been passed back by\n ::cuMemAllocPitch().\n\n \\param dstDevice - Destination device pointer\n \\param dstPitch  - Pitch of destination device pointer(Unused if \\p Height is 1)\n \\param us        - Value to set\n \\param Width     - Width of row\n \\param Height    - Number of rows\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D32, ::cuMemsetD2D32Async,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemset2DAsync"]
    pub unsafe fn cuMemsetD2D16Async(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        us: ::std::os::raw::c_ushort,
        Width: usize,
        Height: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD2D16Async
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, dstPitch, us, Width, Height, hStream,
        )
    }
    #[doc = " \\brief Sets device memory\n\n Sets the 2D memory range of \\p Width 32-bit values to the specified value\n \\p ui. \\p Height specifies the number of rows to set, and \\p dstPitch\n specifies the number of bytes between each row. The \\p dstDevice pointer\n and \\p dstPitch offset must be four byte aligned. This function performs\n fastest when the pitch is one that has been passed back by\n ::cuMemAllocPitch().\n\n \\param dstDevice - Destination device pointer\n \\param dstPitch  - Pitch of destination device pointer(Unused if \\p Height is 1)\n \\param ui        - Value to set\n \\param Width     - Width of row\n \\param Height    - Number of rows\n \\param hStream   - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n \\note_memset\n \\note_null_stream\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,\n ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32,\n ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,\n ::cuMemsetD32, ::cuMemsetD32Async,\n ::cudaMemset2DAsync"]
    pub unsafe fn cuMemsetD2D32Async(
        &self,
        dstDevice: CUdeviceptr,
        dstPitch: usize,
        ui: ::std::os::raw::c_uint,
        Width: usize,
        Height: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemsetD2D32Async
            .as_ref()
            .expect("Expected function, got error."))(
            dstDevice, dstPitch, ui, Width, Height, hStream,
        )
    }
    pub unsafe fn cuArrayCreate_v2(
        &self,
        pHandle: *mut CUarray,
        pAllocateArray: *const CUDA_ARRAY_DESCRIPTOR,
    ) -> CUresult {
        (self
            .cuArrayCreate_v2
            .as_ref()
            .expect("Expected function, got error."))(pHandle, pAllocateArray)
    }
    pub unsafe fn cuArrayGetDescriptor_v2(
        &self,
        pArrayDescriptor: *mut CUDA_ARRAY_DESCRIPTOR,
        hArray: CUarray,
    ) -> CUresult {
        (self
            .cuArrayGetDescriptor_v2
            .as_ref()
            .expect("Expected function, got error."))(pArrayDescriptor, hArray)
    }
    #[doc = " \\brief Returns the layout properties of a sparse CUDA array\n\n Returns the layout properties of a sparse CUDA array in \\p sparseProperties\n If the CUDA array is not allocated with flag ::CUDA_ARRAY3D_SPARSE\n ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n If the returned value in ::CUDA_ARRAY_SPARSE_PROPERTIES::flags contains ::CU_ARRAY_SPARSE_PROPERTIES_SINGLE_MIPTAIL,\n then ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailSize represents the total size of the array. Otherwise, it will be zero.\n Also, the returned value in ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailFirstLevel is always zero.\n Note that the \\p array must have been allocated using ::cuArrayCreate or ::cuArray3DCreate. For CUDA arrays obtained\n using ::cuMipmappedArrayGetLevel, ::CUDA_ERROR_INVALID_VALUE will be returned. Instead, ::cuMipmappedArrayGetSparseProperties\n must be used to obtain the sparse properties of the entire CUDA mipmapped array to which \\p array belongs to.\n\n \\return\n ::CUDA_SUCCESS\n ::CUDA_ERROR_INVALID_VALUE\n\n \\param[out] sparseProperties - Pointer to ::CUDA_ARRAY_SPARSE_PROPERTIES\n \\param[in] array - CUDA array to get the sparse properties of\n \\sa ::cuMipmappedArrayGetSparseProperties, ::cuMemMapArrayAsync"]
    pub unsafe fn cuArrayGetSparseProperties(
        &self,
        sparseProperties: *mut CUDA_ARRAY_SPARSE_PROPERTIES,
        array: CUarray,
    ) -> CUresult {
        (self
            .cuArrayGetSparseProperties
            .as_ref()
            .expect("Expected function, got error."))(sparseProperties, array)
    }
    #[doc = " \\brief Returns the layout properties of a sparse CUDA mipmapped array\n\n Returns the sparse array layout properties in \\p sparseProperties\n If the CUDA mipmapped array is not allocated with flag ::CUDA_ARRAY3D_SPARSE\n ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n For non-layered CUDA mipmapped arrays, ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailSize returns the\n size of the mip tail region. The mip tail region includes all mip levels whose width, height or depth\n is less than that of the tile.\n For layered CUDA mipmapped arrays, if ::CUDA_ARRAY_SPARSE_PROPERTIES::flags contains ::CU_ARRAY_SPARSE_PROPERTIES_SINGLE_MIPTAIL,\n then ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailSize specifies the size of the mip tail of all layers combined.\n Otherwise, ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailSize specifies mip tail size per layer.\n The returned value of ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailFirstLevel is valid only if ::CUDA_ARRAY_SPARSE_PROPERTIES::miptailSize is non-zero.\n\n \\return\n ::CUDA_SUCCESS\n ::CUDA_ERROR_INVALID_VALUE\n\n \\param[out] sparseProperties - Pointer to ::CUDA_ARRAY_SPARSE_PROPERTIES\n \\param[in] mipmap - CUDA mipmapped array to get the sparse properties of\n \\sa ::cuArrayGetSparseProperties, ::cuMemMapArrayAsync"]
    pub unsafe fn cuMipmappedArrayGetSparseProperties(
        &self,
        sparseProperties: *mut CUDA_ARRAY_SPARSE_PROPERTIES,
        mipmap: CUmipmappedArray,
    ) -> CUresult {
        (self
            .cuMipmappedArrayGetSparseProperties
            .as_ref()
            .expect("Expected function, got error."))(sparseProperties, mipmap)
    }
    #[doc = " \\brief Returns the memory requirements of a CUDA array\n\n Returns the memory requirements of a CUDA array in \\p memoryRequirements\n If the CUDA array is not allocated with flag ::CUDA_ARRAY3D_DEFERRED_MAPPING\n ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n The returned value in ::CUDA_ARRAY_MEMORY_REQUIREMENTS::size\n represents the total size of the CUDA array.\n The returned value in ::CUDA_ARRAY_MEMORY_REQUIREMENTS::alignment\n represents the alignment necessary for mapping the CUDA array.\n\n \\return\n ::CUDA_SUCCESS\n ::CUDA_ERROR_INVALID_VALUE\n\n \\param[out] memoryRequirements - Pointer to ::CUDA_ARRAY_MEMORY_REQUIREMENTS\n \\param[in] array - CUDA array to get the memory requirements of\n \\param[in] device - Device to get the memory requirements for\n \\sa ::cuMipmappedArrayGetMemoryRequirements, ::cuMemMapArrayAsync"]
    pub unsafe fn cuArrayGetMemoryRequirements(
        &self,
        memoryRequirements: *mut CUDA_ARRAY_MEMORY_REQUIREMENTS,
        array: CUarray,
        device: CUdevice,
    ) -> CUresult {
        (self
            .cuArrayGetMemoryRequirements
            .as_ref()
            .expect("Expected function, got error."))(memoryRequirements, array, device)
    }
    #[doc = " \\brief Returns the memory requirements of a CUDA mipmapped array\n\n Returns the memory requirements of a CUDA mipmapped array in \\p memoryRequirements\n If the CUDA mipmapped array is not allocated with flag ::CUDA_ARRAY3D_DEFERRED_MAPPING\n ::CUDA_ERROR_INVALID_VALUE will be returned.\n\n The returned value in ::CUDA_ARRAY_MEMORY_REQUIREMENTS::size\n represents the total size of the CUDA mipmapped array.\n The returned value in ::CUDA_ARRAY_MEMORY_REQUIREMENTS::alignment\n represents the alignment necessary for mapping the CUDA mipmapped\n array.\n\n \\return\n ::CUDA_SUCCESS\n ::CUDA_ERROR_INVALID_VALUE\n\n \\param[out] memoryRequirements - Pointer to ::CUDA_ARRAY_MEMORY_REQUIREMENTS\n \\param[in] mipmap - CUDA mipmapped array to get the memory requirements of\n \\param[in] device - Device to get the memory requirements for\n \\sa ::cuArrayGetMemoryRequirements, ::cuMemMapArrayAsync"]
    pub unsafe fn cuMipmappedArrayGetMemoryRequirements(
        &self,
        memoryRequirements: *mut CUDA_ARRAY_MEMORY_REQUIREMENTS,
        mipmap: CUmipmappedArray,
        device: CUdevice,
    ) -> CUresult {
        (self
            .cuMipmappedArrayGetMemoryRequirements
            .as_ref()
            .expect("Expected function, got error."))(memoryRequirements, mipmap, device)
    }
    #[doc = " \\brief Gets a CUDA array plane from a CUDA array\n\n Returns in \\p pPlaneArray a CUDA array that represents a single format plane\n of the CUDA array \\p hArray.\n\n If \\p planeIdx is greater than the maximum number of planes in this array or if the array does\n not have a multi-planar format e.g: ::CU_AD_FORMAT_NV12, then ::CUDA_ERROR_INVALID_VALUE is returned.\n\n Note that if the \\p hArray has format ::CU_AD_FORMAT_NV12, then passing in 0 for \\p planeIdx returns\n a CUDA array of the same size as \\p hArray but with one channel and ::CU_AD_FORMAT_UNSIGNED_INT8 as its format.\n If 1 is passed for \\p planeIdx, then the returned CUDA array has half the height and width\n of \\p hArray with two channels and ::CU_AD_FORMAT_UNSIGNED_INT8 as its format.\n\n \\param pPlaneArray   - Returned CUDA array referenced by the \\p planeIdx\n \\param hArray        - Multiplanar CUDA array\n \\param planeIdx      - Plane index\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::cuArrayCreate,\n ::cudaArrayGetPlane"]
    pub unsafe fn cuArrayGetPlane(
        &self,
        pPlaneArray: *mut CUarray,
        hArray: CUarray,
        planeIdx: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuArrayGetPlane
            .as_ref()
            .expect("Expected function, got error."))(pPlaneArray, hArray, planeIdx)
    }
    #[doc = " \\brief Destroys a CUDA array\n\n Destroys the CUDA array \\p hArray.\n\n \\param hArray - Array to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_ARRAY_IS_MAPPED,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED\n \\notefnerr\n\n \\sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,\n ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,\n ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,\n ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,\n ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,\n ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,\n ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,\n ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,\n ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,\n ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,\n ::cudaFreeArray"]
    pub unsafe fn cuArrayDestroy(&self, hArray: CUarray) -> CUresult {
        (self
            .cuArrayDestroy
            .as_ref()
            .expect("Expected function, got error."))(hArray)
    }
    pub unsafe fn cuArray3DCreate_v2(
        &self,
        pHandle: *mut CUarray,
        pAllocateArray: *const CUDA_ARRAY3D_DESCRIPTOR,
    ) -> CUresult {
        (self
            .cuArray3DCreate_v2
            .as_ref()
            .expect("Expected function, got error."))(pHandle, pAllocateArray)
    }
    pub unsafe fn cuArray3DGetDescriptor_v2(
        &self,
        pArrayDescriptor: *mut CUDA_ARRAY3D_DESCRIPTOR,
        hArray: CUarray,
    ) -> CUresult {
        (self
            .cuArray3DGetDescriptor_v2
            .as_ref()
            .expect("Expected function, got error."))(pArrayDescriptor, hArray)
    }
    #[doc = " \\brief Creates a CUDA mipmapped array\n\n Creates a CUDA mipmapped array according to the ::CUDA_ARRAY3D_DESCRIPTOR structure\n \\p pMipmappedArrayDesc and returns a handle to the new CUDA mipmapped array in \\p *pHandle.\n \\p numMipmapLevels specifies the number of mipmap levels to be allocated. This value is\n clamped to the range [1, 1 + floor(log2(max(width, height, depth)))].\n\n The ::CUDA_ARRAY3D_DESCRIPTOR is defined as:\n\n \\code\ntypedef struct {\nunsigned int Width;\nunsigned int Height;\nunsigned int Depth;\nCUarray_format Format;\nunsigned int NumChannels;\nunsigned int Flags;\n} CUDA_ARRAY3D_DESCRIPTOR;\n \\endcode\n where:\n\n - \\p Width, \\p Height, and \\p Depth are the width, height, and depth of the\n CUDA array (in elements); the following types of CUDA arrays can be allocated:\n     - A 1D mipmapped array is allocated if \\p Height and \\p Depth extents are both zero.\n     - A 2D mipmapped array is allocated if only \\p Depth extent is zero.\n     - A 3D mipmapped array is allocated if all three extents are non-zero.\n     - A 1D layered CUDA mipmapped array is allocated if only \\p Height is zero and the\n       ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 1D array. The number\n       of layers is determined by the depth extent.\n     - A 2D layered CUDA mipmapped array is allocated if all three extents are non-zero and\n       the ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 2D array. The number\n       of layers is determined by the depth extent.\n     - A cubemap CUDA mipmapped array is allocated if all three extents are non-zero and the\n       ::CUDA_ARRAY3D_CUBEMAP flag is set. \\p Width must be equal to \\p Height, and\n       \\p Depth must be six. A cubemap is a special type of 2D layered CUDA array,\n       where the six layers represent the six faces of a cube. The order of the six\n       layers in memory is the same as that listed in ::CUarray_cubemap_face.\n     - A cubemap layered CUDA mipmapped array is allocated if all three extents are non-zero,\n       and both, ::CUDA_ARRAY3D_CUBEMAP and ::CUDA_ARRAY3D_LAYERED flags are set.\n       \\p Width must be equal to \\p Height, and \\p Depth must be a multiple of six.\n       A cubemap layered CUDA array is a special type of 2D layered CUDA array that\n       consists of a collection of cubemaps. The first six layers represent the first\n       cubemap, the next six layers form the second cubemap, and so on.\n\n - ::Format specifies the format of the elements; ::CUarray_format is\n defined as:\n \\code\ntypedef enum CUarray_format_enum {\nCU_AD_FORMAT_UNSIGNED_INT8 = 0x01,\nCU_AD_FORMAT_UNSIGNED_INT16 = 0x02,\nCU_AD_FORMAT_UNSIGNED_INT32 = 0x03,\nCU_AD_FORMAT_SIGNED_INT8 = 0x08,\nCU_AD_FORMAT_SIGNED_INT16 = 0x09,\nCU_AD_FORMAT_SIGNED_INT32 = 0x0a,\nCU_AD_FORMAT_HALF = 0x10,\nCU_AD_FORMAT_FLOAT = 0x20\n} CUarray_format;\n  \\endcode\n\n - \\p NumChannels specifies the number of packed components per CUDA array\n element; it may be 1, 2, or 4;\n\n - ::Flags may be set to\n   - ::CUDA_ARRAY3D_LAYERED to enable creation of layered CUDA mipmapped arrays. If this flag is set,\n     \\p Depth specifies the number of layers, not the depth of a 3D array.\n   - ::CUDA_ARRAY3D_SURFACE_LDST to enable surface references to be bound to individual mipmap levels of\n     the CUDA mipmapped array. If this flag is not set, ::cuSurfRefSetArray will fail when attempting to\n     bind a mipmap level of the CUDA mipmapped array to a surface reference.\n   - ::CUDA_ARRAY3D_CUBEMAP to enable creation of mipmapped cubemaps. If this flag is set, \\p Width must be\n     equal to \\p Height, and \\p Depth must be six. If the ::CUDA_ARRAY3D_LAYERED flag is also set,\n     then \\p Depth must be a multiple of six.\n   - ::CUDA_ARRAY3D_TEXTURE_GATHER to indicate that the CUDA mipmapped array will be used for texture gather.\n     Texture gather can only be performed on 2D CUDA mipmapped arrays.\n\n \\p Width, \\p Height and \\p Depth must meet certain size requirements as listed in the following table.\n All values are specified in elements. Note that for brevity's sake, the full name of the device attribute\n is not specified. For ex., TEXTURE1D_MIPMAPPED_WIDTH refers to the device attribute\n ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH.\n\n <table>\n <tr><td><b>CUDA array type</b></td>\n <td><b>Valid extents that must always be met<br>{(width range in elements), (height range),\n (depth range)}</b></td>\n <td><b>Valid extents with CUDA_ARRAY3D_SURFACE_LDST set<br>\n {(width range in elements), (height range), (depth range)}</b></td></tr>\n <tr><td>1D</td>\n <td><small>{ (1,TEXTURE1D_MIPMAPPED_WIDTH), 0, 0 }</small></td>\n <td><small>{ (1,SURFACE1D_WIDTH), 0, 0 }</small></td></tr>\n <tr><td>2D</td>\n <td><small>{ (1,TEXTURE2D_MIPMAPPED_WIDTH), (1,TEXTURE2D_MIPMAPPED_HEIGHT), 0 }</small></td>\n <td><small>{ (1,SURFACE2D_WIDTH), (1,SURFACE2D_HEIGHT), 0 }</small></td></tr>\n <tr><td>3D</td>\n <td><small>{ (1,TEXTURE3D_WIDTH), (1,TEXTURE3D_HEIGHT), (1,TEXTURE3D_DEPTH) }\n <br>OR<br>{ (1,TEXTURE3D_WIDTH_ALTERNATE), (1,TEXTURE3D_HEIGHT_ALTERNATE),\n (1,TEXTURE3D_DEPTH_ALTERNATE) }</small></td>\n <td><small>{ (1,SURFACE3D_WIDTH), (1,SURFACE3D_HEIGHT),\n (1,SURFACE3D_DEPTH) }</small></td></tr>\n <tr><td>1D Layered</td>\n <td><small>{ (1,TEXTURE1D_LAYERED_WIDTH), 0,\n (1,TEXTURE1D_LAYERED_LAYERS) }</small></td>\n <td><small>{ (1,SURFACE1D_LAYERED_WIDTH), 0,\n (1,SURFACE1D_LAYERED_LAYERS) }</small></td></tr>\n <tr><td>2D Layered</td>\n <td><small>{ (1,TEXTURE2D_LAYERED_WIDTH), (1,TEXTURE2D_LAYERED_HEIGHT),\n (1,TEXTURE2D_LAYERED_LAYERS) }</small></td>\n <td><small>{ (1,SURFACE2D_LAYERED_WIDTH), (1,SURFACE2D_LAYERED_HEIGHT),\n (1,SURFACE2D_LAYERED_LAYERS) }</small></td></tr>\n <tr><td>Cubemap</td>\n <td><small>{ (1,TEXTURECUBEMAP_WIDTH), (1,TEXTURECUBEMAP_WIDTH), 6 }</small></td>\n <td><small>{ (1,SURFACECUBEMAP_WIDTH),\n (1,SURFACECUBEMAP_WIDTH), 6 }</small></td></tr>\n <tr><td>Cubemap Layered</td>\n <td><small>{ (1,TEXTURECUBEMAP_LAYERED_WIDTH), (1,TEXTURECUBEMAP_LAYERED_WIDTH),\n (1,TEXTURECUBEMAP_LAYERED_LAYERS) }</small></td>\n <td><small>{ (1,SURFACECUBEMAP_LAYERED_WIDTH), (1,SURFACECUBEMAP_LAYERED_WIDTH),\n (1,SURFACECUBEMAP_LAYERED_LAYERS) }</small></td></tr>\n </table>\n\n\n \\param pHandle             - Returned mipmapped array\n \\param pMipmappedArrayDesc - mipmapped array descriptor\n \\param numMipmapLevels     - Number of mipmap levels\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cuMipmappedArrayDestroy,\n ::cuMipmappedArrayGetLevel,\n ::cuArrayCreate,\n ::cudaMallocMipmappedArray"]
    pub unsafe fn cuMipmappedArrayCreate(
        &self,
        pHandle: *mut CUmipmappedArray,
        pMipmappedArrayDesc: *const CUDA_ARRAY3D_DESCRIPTOR,
        numMipmapLevels: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMipmappedArrayCreate
            .as_ref()
            .expect("Expected function, got error."))(
            pHandle, pMipmappedArrayDesc, numMipmapLevels
        )
    }
    #[doc = " \\brief Gets a mipmap level of a CUDA mipmapped array\n\n Returns in \\p *pLevelArray a CUDA array that represents a single mipmap level\n of the CUDA mipmapped array \\p hMipmappedArray.\n\n If \\p level is greater than the maximum number of levels in this mipmapped array,\n ::CUDA_ERROR_INVALID_VALUE is returned.\n\n \\param pLevelArray     - Returned mipmap level CUDA array\n \\param hMipmappedArray - CUDA mipmapped array\n \\param level           - Mipmap level\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::cuMipmappedArrayCreate,\n ::cuMipmappedArrayDestroy,\n ::cuArrayCreate,\n ::cudaGetMipmappedArrayLevel"]
    pub unsafe fn cuMipmappedArrayGetLevel(
        &self,
        pLevelArray: *mut CUarray,
        hMipmappedArray: CUmipmappedArray,
        level: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuMipmappedArrayGetLevel
            .as_ref()
            .expect("Expected function, got error."))(pLevelArray, hMipmappedArray, level)
    }
    #[doc = " \\brief Destroys a CUDA mipmapped array\n\n Destroys the CUDA mipmapped array \\p hMipmappedArray.\n\n \\param hMipmappedArray - Mipmapped array to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_ARRAY_IS_MAPPED,\n ::CUDA_ERROR_CONTEXT_IS_DESTROYED\n \\notefnerr\n\n \\sa\n ::cuMipmappedArrayCreate,\n ::cuMipmappedArrayGetLevel,\n ::cuArrayCreate,\n ::cudaFreeMipmappedArray"]
    pub unsafe fn cuMipmappedArrayDestroy(&self, hMipmappedArray: CUmipmappedArray) -> CUresult {
        (self
            .cuMipmappedArrayDestroy
            .as_ref()
            .expect("Expected function, got error."))(hMipmappedArray)
    }
    #[doc = " \\brief Retrieve handle for an address range\n\n Get a handle of the specified type to an address range. The address range\n must have been obtained by a prior call to either ::cuMemAlloc or ::cuMemAddressReserve.\n If the address range was obtained via ::cuMemAddressReserve, it must also be fully mapped via ::cuMemMap.\n\n Users must ensure the \\p dptr and \\p size are aligned to the host page size.\n\n When requesting CUmemRangeHandleType::CU_MEM_RANGE_HANDLE_TYPE_DMA_BUF_FD,\n users are expected to query for dma_buf support for the platform\n by using ::CU_DEVICE_ATTRIBUTE_DMA_BUF_SUPPORTED device attribute before calling\n this API. The \\p handle will be interpreted as a pointer to an integer to store the dma_buf file descriptor.\n Users must ensure the entire address range is backed and mapped when\n the address range is allocated by ::cuMemAddressReserve. All the physical\n allocations backing the address range must be resident on the same device and\n have identical allocation properties. Users are also expected to retrieve a\n new handle every time the underlying physical allocation(s) corresponding\n to a previously queried VA range are changed.\n\n \\param[out] handle     - Pointer to the location where the returned handle will be stored.\n \\param[in] dptr        - Pointer to a valid CUDA device allocation. Must be aligned to host page size.\n \\param[in] size        - Length of the address range. Must be aligned to host page size.\n \\param[in] handleType  - Type of handle requested (defines type and size of the \\p handle output parameter)\n \\param[in] flags       - Reserved, must be zero\n\n \\return\n CUDA_SUCCESS\n CUDA_ERROR_INVALID_VALUE\n CUDA_ERROR_NOT_SUPPORTED"]
    pub unsafe fn cuMemGetHandleForAddressRange(
        &self,
        handle: *mut ::std::os::raw::c_void,
        dptr: CUdeviceptr,
        size: usize,
        handleType: CUmemRangeHandleType,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemGetHandleForAddressRange
            .as_ref()
            .expect("Expected function, got error."))(handle, dptr, size, handleType, flags)
    }
    #[doc = " \\brief Allocate an address range reservation.\n\n Reserves a virtual address range based on the given parameters, giving\n the starting address of the range in \\p ptr.  This API requires a system that\n supports UVA.  The size and address parameters must be a multiple of the\n host page size and the alignment must be a power of two or zero for default\n alignment.\n\n \\param[out] ptr       - Resulting pointer to start of virtual address range allocated\n \\param[in]  size      - Size of the reserved virtual address range requested\n \\param[in]  alignment - Alignment of the reserved virtual address range requested\n \\param[in]  addr      - Fixed starting address range requested\n \\param[in]  flags     - Currently unused, must be zero\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemAddressFree"]
    pub unsafe fn cuMemAddressReserve(
        &self,
        ptr: *mut CUdeviceptr,
        size: usize,
        alignment: usize,
        addr: CUdeviceptr,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemAddressReserve
            .as_ref()
            .expect("Expected function, got error."))(ptr, size, alignment, addr, flags)
    }
    #[doc = " \\brief Free an address range reservation.\n\n Frees a virtual address range reserved by cuMemAddressReserve.  The size\n must match what was given to memAddressReserve and the ptr given must\n match what was returned from memAddressReserve.\n\n \\param[in] ptr  - Starting address of the virtual address range to free\n \\param[in] size - Size of the virtual address region to free\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemAddressReserve"]
    pub unsafe fn cuMemAddressFree(&self, ptr: CUdeviceptr, size: usize) -> CUresult {
        (self
            .cuMemAddressFree
            .as_ref()
            .expect("Expected function, got error."))(ptr, size)
    }
    #[doc = " \\brief Create a CUDA memory handle representing a memory allocation of a given size described by the given properties\n\n This creates a memory allocation on the target device specified through the\n \\p prop strcuture. The created allocation will not have any device or host\n mappings. The generic memory \\p handle for the allocation can be\n mapped to the address space of calling process via ::cuMemMap. This handle\n cannot be transmitted directly to other processes (see\n ::cuMemExportToShareableHandle).  On Windows, the caller must also pass\n an LPSECURITYATTRIBUTE in \\p prop to be associated with this handle which\n limits or allows access to this handle for a recepient process (see\n ::CUmemAllocationProp::win32HandleMetaData for more).  The \\p size of this\n allocation must be a multiple of the the value given via\n ::cuMemGetAllocationGranularity with the ::CU_MEM_ALLOC_GRANULARITY_MINIMUM\n flag.\n If ::CUmemAllocationProp::allocFlags::usage contains ::CU_MEM_CREATE_USAGE_TILE_POOL flag then\n the memory allocation is intended only to be used as backing tile pool for sparse CUDA arrays\n and sparse CUDA mipmapped arrays.\n (see ::cuMemMapArrayAsync).\n\n \\param[out] handle - Value of handle returned. All operations on this allocation are to be performed using this handle.\n \\param[in]  size   - Size of the allocation requested\n \\param[in]  prop   - Properties of the allocation to create.\n \\param[in]  flags  - flags for future use, must be zero now.\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa ::cuMemRelease, ::cuMemExportToShareableHandle, ::cuMemImportFromShareableHandle"]
    pub unsafe fn cuMemCreate(
        &self,
        handle: *mut CUmemGenericAllocationHandle,
        size: usize,
        prop: *const CUmemAllocationProp,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemCreate
            .as_ref()
            .expect("Expected function, got error."))(handle, size, prop, flags)
    }
    #[doc = " \\brief Release a memory handle representing a memory allocation which was previously allocated through cuMemCreate.\n\n Frees the memory that was allocated on a device through cuMemCreate.\n\n The memory allocation will be freed when all outstanding mappings to the memory\n are unmapped and when all outstanding references to the handle (including it's\n shareable counterparts) are also released. The generic memory handle can be\n freed when there are still outstanding mappings made with this handle. Each\n time a recepient process imports a shareable handle, it needs to pair it with\n ::cuMemRelease for the handle to be freed.  If \\p handle is not a valid handle\n the behavior is undefined.\n\n \\param[in] handle Value of handle which was returned previously by cuMemCreate.\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa ::cuMemCreate"]
    pub unsafe fn cuMemRelease(&self, handle: CUmemGenericAllocationHandle) -> CUresult {
        (self
            .cuMemRelease
            .as_ref()
            .expect("Expected function, got error."))(handle)
    }
    #[doc = " \\brief Maps an allocation handle to a reserved virtual address range.\n\n Maps bytes of memory represented by \\p handle starting from byte \\p offset to\n \\p size to address range [\\p addr, \\p addr + \\p size]. This range must be an\n address reservation previously reserved with ::cuMemAddressReserve, and\n \\p offset + \\p size must be less than the size of the memory allocation.\n Both \\p ptr, \\p size, and \\p offset must be a multiple of the value given via\n ::cuMemGetAllocationGranularity with the ::CU_MEM_ALLOC_GRANULARITY_MINIMUM flag.\n\n Please note calling ::cuMemMap does not make the address accessible,\n the caller needs to update accessibility of a contiguous mapped VA\n range by calling ::cuMemSetAccess.\n\n Once a recipient process obtains a shareable memory handle\n from ::cuMemImportFromShareableHandle, the process must\n use ::cuMemMap to map the memory into its address ranges before\n setting accessibility with ::cuMemSetAccess.\n\n ::cuMemMap can only create mappings on VA range reservations\n that are not currently mapped.\n\n \\param[in] ptr    - Address where memory will be mapped.\n \\param[in] size   - Size of the memory mapping.\n \\param[in] offset - Offset into the memory represented by\n                   - \\p handle from which to start mapping\n                   - Note: currently must be zero.\n \\param[in] handle - Handle to a shareable memory\n \\param[in] flags  - flags for future use, must be zero now.\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa ::cuMemUnmap, ::cuMemSetAccess, ::cuMemCreate, ::cuMemAddressReserve, ::cuMemImportFromShareableHandle"]
    pub unsafe fn cuMemMap(
        &self,
        ptr: CUdeviceptr,
        size: usize,
        offset: usize,
        handle: CUmemGenericAllocationHandle,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemMap
            .as_ref()
            .expect("Expected function, got error."))(ptr, size, offset, handle, flags)
    }
    #[doc = " \\brief Maps or unmaps subregions of sparse CUDA arrays and sparse CUDA mipmapped arrays\n\n Performs map or unmap operations on subregions of sparse CUDA arrays and sparse CUDA mipmapped arrays.\n Each operation is specified by a ::CUarrayMapInfo entry in the \\p mapInfoList array of size \\p count.\n The structure ::CUarrayMapInfo is defined as follow:\n\\code\ntypedef struct CUarrayMapInfo_st {\nCUresourcetype resourceType;\nunion {\nCUmipmappedArray mipmap;\nCUarray array;\n} resource;\n\nCUarraySparseSubresourceType subresourceType;\nunion {\nstruct {\nunsigned int level;\nunsigned int layer;\nunsigned int offsetX;\nunsigned int offsetY;\nunsigned int offsetZ;\nunsigned int extentWidth;\nunsigned int extentHeight;\nunsigned int extentDepth;\n} sparseLevel;\nstruct {\nunsigned int layer;\nunsigned long long offset;\nunsigned long long size;\n} miptail;\n} subresource;\n\nCUmemOperationType memOperationType;\n\nCUmemHandleType memHandleType;\nunion {\nCUmemGenericAllocationHandle memHandle;\n} memHandle;\n\nunsigned long long offset;\nunsigned int deviceBitMask;\nunsigned int flags;\nunsigned int reserved[2];\n} CUarrayMapInfo;\n\\endcode\n\n where ::CUarrayMapInfo::resourceType specifies the type of resource to be operated on.\n If ::CUarrayMapInfo::resourceType is set to ::CUresourcetype::CU_RESOURCE_TYPE_ARRAY then\n ::CUarrayMapInfo::resource::array must be set to a valid sparse CUDA array handle.\n The CUDA array must be either a 2D, 2D layered or 3D CUDA array and must have been allocated using\n ::cuArrayCreate or ::cuArray3DCreate with the flag ::CUDA_ARRAY3D_SPARSE\n or ::CUDA_ARRAY3D_DEFERRED_MAPPING.\n For CUDA arrays obtained using ::cuMipmappedArrayGetLevel, ::CUDA_ERROR_INVALID_VALUE will be returned.\n If ::CUarrayMapInfo::resourceType is set to ::CUresourcetype::CU_RESOURCE_TYPE_MIPMAPPED_ARRAY\n then ::CUarrayMapInfo::resource::mipmap must be set to a valid sparse CUDA mipmapped array handle.\n The CUDA mipmapped array must be either a 2D, 2D layered or 3D CUDA mipmapped array and must have been\n allocated using ::cuMipmappedArrayCreate with the flag ::CUDA_ARRAY3D_SPARSE\n or ::CUDA_ARRAY3D_DEFERRED_MAPPING.\n\n ::CUarrayMapInfo::subresourceType specifies the type of subresource within the resource.\n ::CUarraySparseSubresourceType_enum is defined as:\n\\code\ntypedef enum CUarraySparseSubresourceType_enum {\nCU_ARRAY_SPARSE_SUBRESOURCE_TYPE_SPARSE_LEVEL = 0,\nCU_ARRAY_SPARSE_SUBRESOURCE_TYPE_MIPTAIL = 1\n} CUarraySparseSubresourceType;\n\\endcode\n\n where ::CUarraySparseSubresourceType::CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_SPARSE_LEVEL indicates a\n sparse-miplevel which spans at least one tile in every dimension. The remaining miplevels which\n are too small to span at least one tile in any dimension constitute the mip tail region as indicated by\n ::CUarraySparseSubresourceType::CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_MIPTAIL subresource type.\n\n If ::CUarrayMapInfo::subresourceType is set to ::CUarraySparseSubresourceType::CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_SPARSE_LEVEL\n then ::CUarrayMapInfo::subresource::sparseLevel struct must contain valid array subregion offsets and extents.\n The ::CUarrayMapInfo::subresource::sparseLevel::offsetX, ::CUarrayMapInfo::subresource::sparseLevel::offsetY\n and ::CUarrayMapInfo::subresource::sparseLevel::offsetZ must specify valid X, Y and Z offsets respectively.\n The ::CUarrayMapInfo::subresource::sparseLevel::extentWidth, ::CUarrayMapInfo::subresource::sparseLevel::extentHeight\n and ::CUarrayMapInfo::subresource::sparseLevel::extentDepth must specify valid width, height and depth extents respectively.\n These offsets and extents must be aligned to the corresponding tile dimension.\n For CUDA mipmapped arrays ::CUarrayMapInfo::subresource::sparseLevel::level must specify a valid mip level index. Otherwise,\n must be zero.\n For layered CUDA arrays and layered CUDA mipmapped arrays ::CUarrayMapInfo::subresource::sparseLevel::layer must specify a valid layer index. Otherwise,\n must be zero.\n ::CUarrayMapInfo::subresource::sparseLevel::offsetZ must be zero and ::CUarrayMapInfo::subresource::sparseLevel::extentDepth\n must be set to 1 for 2D and 2D layered CUDA arrays and CUDA mipmapped arrays.\n Tile extents can be obtained by calling ::cuArrayGetSparseProperties and ::cuMipmappedArrayGetSparseProperties\n\n If ::CUarrayMapInfo::subresourceType is set to ::CUarraySparseSubresourceType::CU_ARRAY_SPARSE_SUBRESOURCE_TYPE_MIPTAIL\n then ::CUarrayMapInfo::subresource::miptail struct must contain valid mip tail offset in\n ::CUarrayMapInfo::subresource::miptail::offset and size in ::CUarrayMapInfo::subresource::miptail::size.\n Both, mip tail offset and mip tail size must be aligned to the tile size.\n For layered CUDA mipmapped arrays which don't have the flag ::CU_ARRAY_SPARSE_PROPERTIES_SINGLE_MIPTAIL set in ::CUDA_ARRAY_SPARSE_PROPERTIES::flags\n as returned by ::cuMipmappedArrayGetSparseProperties, ::CUarrayMapInfo::subresource::miptail::layer must specify a valid layer index.\n Otherwise, must be zero.\n\n If ::CUarrayMapInfo::resource::array or ::CUarrayMapInfo::resource::mipmap was created with ::CUDA_ARRAY3D_DEFERRED_MAPPING\n flag set the ::CUarrayMapInfo::subresourceType and the contents of ::CUarrayMapInfo::subresource will be ignored.\n\n ::CUarrayMapInfo::memOperationType specifies the type of operation. ::CUmemOperationType is defined as:\n\\code\ntypedef enum CUmemOperationType_enum {\nCU_MEM_OPERATION_TYPE_MAP = 1,\nCU_MEM_OPERATION_TYPE_UNMAP = 2\n} CUmemOperationType;\n\\endcode\n If ::CUarrayMapInfo::memOperationType is set to ::CUmemOperationType::CU_MEM_OPERATION_TYPE_MAP then the subresource\n will be mapped onto the tile pool memory specified by ::CUarrayMapInfo::memHandle at offset ::CUarrayMapInfo::offset.\n The tile pool allocation has to be created by specifying the ::CU_MEM_CREATE_USAGE_TILE_POOL flag when calling ::cuMemCreate. Also,\n ::CUarrayMapInfo::memHandleType must be set to ::CUmemHandleType::CU_MEM_HANDLE_TYPE_GENERIC.\n\n If ::CUarrayMapInfo::memOperationType is set to ::CUmemOperationType::CU_MEM_OPERATION_TYPE_UNMAP then an unmapping operation\n is performed. ::CUarrayMapInfo::memHandle must be NULL.\n\n ::CUarrayMapInfo::deviceBitMask specifies the list of devices that must map or unmap physical memory.\n Currently, this mask must have exactly one bit set, and the corresponding device must match the device associated with the stream.\n If ::CUarrayMapInfo::memOperationType is set to ::CUmemOperationType::CU_MEM_OPERATION_TYPE_MAP, the device must also match\n the device associated with the tile pool memory allocation as specified by ::CUarrayMapInfo::memHandle.\n\n ::CUarrayMapInfo::flags and ::CUarrayMapInfo::reserved[] are unused and must be set to zero.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n\n \\param[in] mapInfoList - List of ::CUarrayMapInfo\n \\param[in] count       - Count of ::CUarrayMapInfo  in \\p mapInfoList\n \\param[in] hStream     - Stream identifier for the stream to use for map or unmap operations\n\n \\sa ::cuMipmappedArrayCreate, ::cuArrayCreate, ::cuArray3DCreate, ::cuMemCreate, ::cuArrayGetSparseProperties, ::cuMipmappedArrayGetSparseProperties"]
    pub unsafe fn cuMemMapArrayAsync(
        &self,
        mapInfoList: *mut CUarrayMapInfo,
        count: ::std::os::raw::c_uint,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemMapArrayAsync
            .as_ref()
            .expect("Expected function, got error."))(mapInfoList, count, hStream)
    }
    #[doc = " \\brief Unmap the backing memory of a given address range.\n\n The range must be the entire contiguous address range that was mapped to.  In\n other words, ::cuMemUnmap cannot unmap a sub-range of an address range mapped\n by ::cuMemCreate / ::cuMemMap.  Any backing memory allocations will be freed\n if there are no existing mappings and there are no unreleased memory handles.\n\n When ::cuMemUnmap returns successfully the address range is converted to an\n address reservation and can be used for a future calls to ::cuMemMap.  Any new\n mapping to this virtual address will need to have access granted through\n ::cuMemSetAccess, as all mappings start with no accessibility setup.\n\n \\param[in] ptr  - Starting address for the virtual address range to unmap\n \\param[in] size - Size of the virtual address range to unmap\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n \\note_sync\n\n \\sa ::cuMemCreate, ::cuMemAddressReserve"]
    pub unsafe fn cuMemUnmap(&self, ptr: CUdeviceptr, size: usize) -> CUresult {
        (self
            .cuMemUnmap
            .as_ref()
            .expect("Expected function, got error."))(ptr, size)
    }
    #[doc = " \\brief Set the access flags for each location specified in \\p desc for the given virtual address range\n\n Given the virtual address range via \\p ptr and \\p size, and the locations\n in the array given by \\p desc and \\p count, set the access flags for the\n target locations.  The range must be a fully mapped address range\n containing all allocations created by ::cuMemMap / ::cuMemCreate.\n\n \\param[in] ptr   - Starting address for the virtual address range\n \\param[in] size  - Length of the virtual address range\n \\param[in] desc  - Array of ::CUmemAccessDesc that describe how to change the\n                  - mapping for each location specified\n \\param[in] count - Number of ::CUmemAccessDesc in \\p desc\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n \\note_sync\n\n \\sa ::cuMemSetAccess, ::cuMemCreate, :cuMemMap"]
    pub unsafe fn cuMemSetAccess(
        &self,
        ptr: CUdeviceptr,
        size: usize,
        desc: *const CUmemAccessDesc,
        count: usize,
    ) -> CUresult {
        (self
            .cuMemSetAccess
            .as_ref()
            .expect("Expected function, got error."))(ptr, size, desc, count)
    }
    #[doc = " \\brief Get the access \\p flags set for the given \\p location and \\p ptr\n\n \\param[out] flags   - Flags set for this location\n \\param[in] location - Location in which to check the flags for\n \\param[in] ptr      - Address in which to check the access flags for\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemSetAccess"]
    pub unsafe fn cuMemGetAccess(
        &self,
        flags: *mut ::std::os::raw::c_ulonglong,
        location: *const CUmemLocation,
        ptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuMemGetAccess
            .as_ref()
            .expect("Expected function, got error."))(flags, location, ptr)
    }
    #[doc = " \\brief Exports an allocation to a requested shareable handle type\n\n Given a CUDA memory handle, create a shareable memory\n allocation handle that can be used to share the memory with other\n processes. The recipient process can convert the shareable handle back into a\n CUDA memory handle using ::cuMemImportFromShareableHandle and map\n it with ::cuMemMap. The implementation of what this handle is and how it\n can be transferred is defined by the requested handle type in \\p handleType\n\n Once all shareable handles are closed and the allocation is released, the allocated\n memory referenced will be released back to the OS and uses of the CUDA handle afterward\n will lead to undefined behavior.\n\n This API can also be used in conjunction with other APIs (e.g. Vulkan, OpenGL)\n that support importing memory from the shareable type\n\n \\param[out] shareableHandle - Pointer to the location in which to store the requested handle type\n \\param[in] handle           - CUDA handle for the memory allocation\n \\param[in] handleType       - Type of shareable handle requested (defines type and size of the \\p shareableHandle output parameter)\n \\param[in] flags            - Reserved, must be zero\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemImportFromShareableHandle"]
    pub unsafe fn cuMemExportToShareableHandle(
        &self,
        shareableHandle: *mut ::std::os::raw::c_void,
        handle: CUmemGenericAllocationHandle,
        handleType: CUmemAllocationHandleType,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemExportToShareableHandle
            .as_ref()
            .expect("Expected function, got error."))(
            shareableHandle, handle, handleType, flags
        )
    }
    #[doc = " \\brief Imports an allocation from a requested shareable handle type.\n\n If the current process cannot support the memory described by this shareable\n handle, this API will error as CUDA_ERROR_NOT_SUPPORTED.\n\n \\note Importing shareable handles exported from some graphics APIs(VUlkan, OpenGL, etc)\n created on devices under an SLI group may not be supported, and thus this API will\n return CUDA_ERROR_NOT_SUPPORTED.\n There is no guarantee that the contents of \\p handle will be the same CUDA memory handle\n for the same given OS shareable handle, or the same underlying allocation.\n\n \\param[out] handle       - CUDA Memory handle for the memory allocation.\n \\param[in]  osHandle     - Shareable Handle representing the memory allocation that is to be imported.\n \\param[in]  shHandleType - handle type of the exported handle ::CUmemAllocationHandleType.\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemExportToShareableHandle, ::cuMemMap, ::cuMemRelease"]
    pub unsafe fn cuMemImportFromShareableHandle(
        &self,
        handle: *mut CUmemGenericAllocationHandle,
        osHandle: *mut ::std::os::raw::c_void,
        shHandleType: CUmemAllocationHandleType,
    ) -> CUresult {
        (self
            .cuMemImportFromShareableHandle
            .as_ref()
            .expect("Expected function, got error."))(handle, osHandle, shHandleType)
    }
    #[doc = " \\brief Calculates either the minimal or recommended granularity\n\n Calculates either the minimal or recommended granularity\n for a given allocation specification and returns it in granularity.  This\n granularity can be used as a multiple for alignment, size, or address mapping.\n\n \\param[out] granularity Returned granularity.\n \\param[in]  prop Property for which to determine the granularity for\n \\param[in]  option Determines which granularity to return\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemCreate, ::cuMemMap"]
    pub unsafe fn cuMemGetAllocationGranularity(
        &self,
        granularity: *mut usize,
        prop: *const CUmemAllocationProp,
        option: CUmemAllocationGranularity_flags,
    ) -> CUresult {
        (self
            .cuMemGetAllocationGranularity
            .as_ref()
            .expect("Expected function, got error."))(granularity, prop, option)
    }
    #[doc = " \\brief Retrieve the contents of the property structure defining properties for this handle\n\n \\param[out] prop  - Pointer to a properties structure which will hold the information about this handle\n \\param[in] handle - Handle which to perform the query on\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemCreate, ::cuMemImportFromShareableHandle"]
    pub unsafe fn cuMemGetAllocationPropertiesFromHandle(
        &self,
        prop: *mut CUmemAllocationProp,
        handle: CUmemGenericAllocationHandle,
    ) -> CUresult {
        (self
            .cuMemGetAllocationPropertiesFromHandle
            .as_ref()
            .expect("Expected function, got error."))(prop, handle)
    }
    #[doc = " \\brief Given an address \\p addr, returns the allocation handle of the backing memory allocation.\n\n The handle is guaranteed to be the same handle value used to map the memory. If the address\n requested is not mapped, the function will fail. The returned handle must be released with\n corresponding number of calls to ::cuMemRelease.\n\n \\note The address \\p addr, can be any address in a range previously mapped\n by ::cuMemMap, and not necessarily the start address.\n\n \\param[out] handle CUDA Memory handle for the backing memory allocation.\n \\param[in] addr Memory address to query, that has been mapped previously.\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_PERMITTED,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuMemCreate, ::cuMemRelease, ::cuMemMap"]
    pub unsafe fn cuMemRetainAllocationHandle(
        &self,
        handle: *mut CUmemGenericAllocationHandle,
        addr: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuMemRetainAllocationHandle
            .as_ref()
            .expect("Expected function, got error."))(handle, addr)
    }
    #[doc = " \\brief Frees memory with stream ordered semantics\n\n Inserts a free operation into \\p hStream.\n The allocation must not be accessed after stream execution reaches the free.\n After this API returns, accessing the memory from any subsequent work launched on the GPU\n or querying its pointer attributes results in undefined behavior.\n\n \\note During stream capture, this function results in the creation of a free node and\n       must therefore be passed the address of a graph allocation.\n\n \\param dptr - memory to free\n \\param hStream - The stream establishing the stream ordering contract.\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT (default stream specified with no current context),\n ::CUDA_ERROR_NOT_SUPPORTED"]
    pub unsafe fn cuMemFreeAsync(&self, dptr: CUdeviceptr, hStream: CUstream) -> CUresult {
        (self
            .cuMemFreeAsync
            .as_ref()
            .expect("Expected function, got error."))(dptr, hStream)
    }
    #[doc = " \\brief Allocates memory with stream ordered semantics\n\n Inserts an allocation operation into \\p hStream.\n A pointer to the allocated memory is returned immediately in *dptr.\n The allocation must not be accessed until the the allocation operation completes.\n The allocation comes from the memory pool current to the stream's device.\n\n \\note The default memory pool of a device contains device memory from that device.\n \\note Basic stream ordering allows future work submitted into the same stream to use the allocation.\n       Stream query, stream synchronize, and CUDA events can be used to guarantee that the allocation\n       operation completes before work submitted in a separate stream runs.\n \\note During stream capture, this function results in the creation of an allocation node.  In this case,\n       the allocation is owned by the graph instead of the memory pool. The memory pool's properties\n       are used to set the node's creation parameters.\n\n \\param[out] dptr    - Returned device pointer\n \\param[in] bytesize - Number of bytes to allocate\n \\param[in] hStream  - The stream establishing the stream ordering contract and the memory pool to allocate from\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT (default stream specified with no current context),\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemAllocFromPoolAsync, ::cuMemFreeAsync, ::cuDeviceSetMemPool,\n     ::cuDeviceGetDefaultMemPool, ::cuDeviceGetMemPool, ::cuMemPoolCreate,\n     ::cuMemPoolSetAccess, ::cuMemPoolSetAttribute"]
    pub unsafe fn cuMemAllocAsync(
        &self,
        dptr: *mut CUdeviceptr,
        bytesize: usize,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemAllocAsync
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytesize, hStream)
    }
    #[doc = " \\brief Tries to release memory back to the OS\n\n Releases memory back to the OS until the pool contains fewer than minBytesToKeep\n reserved bytes, or there is no more memory that the allocator can safely release.\n The allocator cannot release OS allocations that back outstanding asynchronous allocations.\n The OS allocations may happen at different granularity from the user allocations.\n\n \\note: Allocations that have not been freed count as outstanding.\n \\note: Allocations that have been asynchronously freed but whose completion has\n        not been observed on the host (eg. by a synchronize) can count as outstanding.\n\n \\param[in] pool           - The memory pool to trim\n \\param[in] minBytesToKeep - If the pool has less than minBytesToKeep reserved,\n the TrimTo operation is a no-op.  Otherwise the pool will be guaranteed to have\n at least minBytesToKeep bytes reserved after the operation.\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolTrimTo(&self, pool: CUmemoryPool, minBytesToKeep: usize) -> CUresult {
        (self
            .cuMemPoolTrimTo
            .as_ref()
            .expect("Expected function, got error."))(pool, minBytesToKeep)
    }
    #[doc = " \\brief Sets attributes of a memory pool\n\n Supported attributes are:\n - ::CU_MEMPOOL_ATTR_RELEASE_THRESHOLD: (value type = cuuint64_t)\n                    Amount of reserved memory in bytes to hold onto before trying\n                    to release memory back to the OS. When more than the release\n                    threshold bytes of memory are held by the memory pool, the\n                    allocator will try to release memory back to the OS on the\n                    next call to stream, event or context synchronize. (default 0)\n - ::CU_MEMPOOL_ATTR_REUSE_FOLLOW_EVENT_DEPENDENCIES: (value type = int)\n                    Allow ::cuMemAllocAsync to use memory asynchronously freed\n                    in another stream as long as a stream ordering dependency\n                    of the allocating stream on the free action exists.\n                    Cuda events and null stream interactions can create the required\n                    stream ordered dependencies. (default enabled)\n - ::CU_MEMPOOL_ATTR_REUSE_ALLOW_OPPORTUNISTIC: (value type = int)\n                    Allow reuse of already completed frees when there is no dependency\n                    between the free and allocation. (default enabled)\n - ::CU_MEMPOOL_ATTR_REUSE_ALLOW_INTERNAL_DEPENDENCIES: (value type = int)\n                    Allow ::cuMemAllocAsync to insert new stream dependencies\n                    in order to establish the stream ordering required to reuse\n                    a piece of memory released by ::cuMemFreeAsync (default enabled).\n - ::CU_MEMPOOL_ATTR_RESERVED_MEM_HIGH: (value type = cuuint64_t)\n                    Reset the high watermark that tracks the amount of backing memory that was\n                    allocated for the memory pool. It is illegal to set this attribute to a non-zero value.\n - ::CU_MEMPOOL_ATTR_USED_MEM_HIGH: (value type = cuuint64_t)\n                    Reset the high watermark that tracks the amount of used memory that was\n                    allocated for the memory pool.\n\n \\param[in] pool  - The memory pool to modify\n \\param[in] attr  - The attribute to modify\n \\param[in] value - Pointer to the value to assign\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolSetAttribute(
        &self,
        pool: CUmemoryPool,
        attr: CUmemPool_attribute,
        value: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuMemPoolSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(pool, attr, value)
    }
    #[doc = " \\brief Gets attributes of a memory pool\n\n Supported attributes are:\n - ::CU_MEMPOOL_ATTR_RELEASE_THRESHOLD: (value type = cuuint64_t)\n                    Amount of reserved memory in bytes to hold onto before trying\n                    to release memory back to the OS. When more than the release\n                    threshold bytes of memory are held by the memory pool, the\n                    allocator will try to release memory back to the OS on the\n                    next call to stream, event or context synchronize. (default 0)\n - ::CU_MEMPOOL_ATTR_REUSE_FOLLOW_EVENT_DEPENDENCIES: (value type = int)\n                    Allow ::cuMemAllocAsync to use memory asynchronously freed\n                    in another stream as long as a stream ordering dependency\n                    of the allocating stream on the free action exists.\n                    Cuda events and null stream interactions can create the required\n                    stream ordered dependencies. (default enabled)\n - ::CU_MEMPOOL_ATTR_REUSE_ALLOW_OPPORTUNISTIC: (value type = int)\n                    Allow reuse of already completed frees when there is no dependency\n                    between the free and allocation. (default enabled)\n - ::CU_MEMPOOL_ATTR_REUSE_ALLOW_INTERNAL_DEPENDENCIES: (value type = int)\n                    Allow ::cuMemAllocAsync to insert new stream dependencies\n                    in order to establish the stream ordering required to reuse\n                    a piece of memory released by ::cuMemFreeAsync (default enabled).\n - ::CU_MEMPOOL_ATTR_RESERVED_MEM_CURRENT: (value type = cuuint64_t)\n                    Amount of backing memory currently allocated for the mempool\n - ::CU_MEMPOOL_ATTR_RESERVED_MEM_HIGH: (value type = cuuint64_t)\n                    High watermark of backing memory allocated for the mempool since the\n                    last time it was reset.\n - ::CU_MEMPOOL_ATTR_USED_MEM_CURRENT: (value type = cuuint64_t)\n                    Amount of memory from the pool that is currently in use by the application.\n - ::CU_MEMPOOL_ATTR_USED_MEM_HIGH: (value type = cuuint64_t)\n                    High watermark of the amount of memory from the pool that was in use by the application.\n\n \\param[in] pool   - The memory pool to get attributes of\n \\param[in] attr   - The attribute to get\n \\param[out] value - Retrieved value\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolGetAttribute(
        &self,
        pool: CUmemoryPool,
        attr: CUmemPool_attribute,
        value: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuMemPoolGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(pool, attr, value)
    }
    #[doc = " \\brief Controls visibility of pools between devices\n\n \\param[in] pool  - The pool being modified\n \\param[in] map   - Array of access descriptors. Each descriptor instructs the access to enable for a single gpu.\n \\param[in] count - Number of descriptors in the map array.\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolSetAccess(
        &self,
        pool: CUmemoryPool,
        map: *const CUmemAccessDesc,
        count: usize,
    ) -> CUresult {
        (self
            .cuMemPoolSetAccess
            .as_ref()
            .expect("Expected function, got error."))(pool, map, count)
    }
    #[doc = " \\brief Returns the accessibility of a pool from a device\n\n Returns the accessibility of the pool's memory from the specified location.\n\n \\param[out] flags   - the accessibility of the pool from the specified location\n \\param[in] memPool  - the pool being queried\n \\param[in] location - the location accessing the pool\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolGetAccess(
        &self,
        flags: *mut CUmemAccess_flags,
        memPool: CUmemoryPool,
        location: *mut CUmemLocation,
    ) -> CUresult {
        (self
            .cuMemPoolGetAccess
            .as_ref()
            .expect("Expected function, got error."))(flags, memPool, location)
    }
    #[doc = " \\brief Creates a memory pool\n\n Creates a CUDA memory pool and returns the handle in \\p pool.  The \\p poolProps determines\n the properties of the pool such as the backing device and IPC capabilities.\n\n By default, the pool's memory will be accessible from the device it is allocated on.\n\n \\note Specifying CU_MEM_HANDLE_TYPE_NONE creates a memory pool that will not support IPC.\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY,\n ::CUDA_ERROR_NOT_SUPPORTED\n\n \\sa ::cuDeviceSetMemPool, ::cuDeviceGetMemPool, ::cuDeviceGetDefaultMemPool,\n     ::cuMemAllocFromPoolAsync, ::cuMemPoolExportToShareableHandle"]
    pub unsafe fn cuMemPoolCreate(
        &self,
        pool: *mut CUmemoryPool,
        poolProps: *const CUmemPoolProps,
    ) -> CUresult {
        (self
            .cuMemPoolCreate
            .as_ref()
            .expect("Expected function, got error."))(pool, poolProps)
    }
    #[doc = " \\brief Destroys the specified memory pool\n\n If any pointers obtained from this pool haven't been freed or\n the pool has free operations that haven't completed\n when ::cuMemPoolDestroy is invoked, the function will return immediately and the\n resources associated with the pool will be released automatically\n once there are no more outstanding allocations.\n\n Destroying the current mempool of a device sets the default mempool of\n that device as the current mempool for that device.\n\n \\note A device's default memory pool cannot be destroyed.\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuMemFreeAsync, ::cuDeviceSetMemPool, ::cuDeviceGetMemPool,\n     ::cuDeviceGetDefaultMemPool, ::cuMemPoolCreate"]
    pub unsafe fn cuMemPoolDestroy(&self, pool: CUmemoryPool) -> CUresult {
        (self
            .cuMemPoolDestroy
            .as_ref()
            .expect("Expected function, got error."))(pool)
    }
    #[doc = " \\brief Allocates memory from a specified pool with stream ordered semantics.\n\n Inserts an allocation operation into \\p hStream.\n A pointer to the allocated memory is returned immediately in *dptr.\n The allocation must not be accessed until the the allocation operation completes.\n The allocation comes from the specified memory pool.\n\n \\note\n    -  The specified memory pool may be from a device different than that of the specified \\p hStream.\n\n    -  Basic stream ordering allows future work submitted into the same stream to use the allocation.\n       Stream query, stream synchronize, and CUDA events can be used to guarantee that the allocation\n       operation completes before work submitted in a separate stream runs.\n\n \\note During stream capture, this function results in the creation of an allocation node.  In this case,\n       the allocation is owned by the graph instead of the memory pool. The memory pool's properties\n       are used to set the node's creation parameters.\n\n \\param[out] dptr    - Returned device pointer\n \\param[in] bytesize - Number of bytes to allocate\n \\param[in] pool     - The pool to allocate from\n \\param[in] hStream  - The stream establishing the stream ordering semantic\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT (default stream specified with no current context),\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemAllocAsync, ::cuMemFreeAsync, ::cuDeviceGetDefaultMemPool,\n     ::cuDeviceGetMemPool, ::cuMemPoolCreate, ::cuMemPoolSetAccess,\n     ::cuMemPoolSetAttribute"]
    pub unsafe fn cuMemAllocFromPoolAsync(
        &self,
        dptr: *mut CUdeviceptr,
        bytesize: usize,
        pool: CUmemoryPool,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemAllocFromPoolAsync
            .as_ref()
            .expect("Expected function, got error."))(dptr, bytesize, pool, hStream)
    }
    #[doc = " \\brief Exports a memory pool to the requested handle type.\n\n Given an IPC capable mempool, create an OS handle to share the pool with another process.\n A recipient process can convert the shareable handle into a mempool with ::cuMemPoolImportFromShareableHandle.\n Individual pointers can then be shared with the ::cuMemPoolExportPointer and ::cuMemPoolImportPointer APIs.\n The implementation of what the shareable handle is and how it can be transferred is defined by the requested\n handle type.\n\n \\note: To create an IPC capable mempool, create a mempool with a CUmemAllocationHandleType other than CU_MEM_HANDLE_TYPE_NONE.\n\n \\param[out] handle_out  - Returned OS handle\n \\param[in] pool         - pool to export\n \\param[in] handleType   - the type of handle to create\n \\param[in] flags        - must be 0\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemPoolImportFromShareableHandle, ::cuMemPoolExportPointer,\n     ::cuMemPoolImportPointer, ::cuMemAllocAsync, ::cuMemFreeAsync,\n     ::cuDeviceGetDefaultMemPool, ::cuDeviceGetMemPool, ::cuMemPoolCreate,\n     ::cuMemPoolSetAccess, ::cuMemPoolSetAttribute"]
    pub unsafe fn cuMemPoolExportToShareableHandle(
        &self,
        handle_out: *mut ::std::os::raw::c_void,
        pool: CUmemoryPool,
        handleType: CUmemAllocationHandleType,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemPoolExportToShareableHandle
            .as_ref()
            .expect("Expected function, got error."))(handle_out, pool, handleType, flags)
    }
    #[doc = " \\brief imports a memory pool from a shared handle.\n\n Specific allocations can be imported from the imported pool with cuMemPoolImportPointer.\n\n \\note Imported memory pools do not support creating new allocations.\n       As such imported memory pools may not be used in cuDeviceSetMemPool\n       or ::cuMemAllocFromPoolAsync calls.\n\n \\param[out] pool_out    - Returned memory pool\n \\param[in] handle       - OS handle of the pool to open\n \\param[in] handleType   - The type of handle being imported\n \\param[in] flags        - must be 0\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemPoolExportToShareableHandle, ::cuMemPoolExportPointer, ::cuMemPoolImportPointer"]
    pub unsafe fn cuMemPoolImportFromShareableHandle(
        &self,
        pool_out: *mut CUmemoryPool,
        handle: *mut ::std::os::raw::c_void,
        handleType: CUmemAllocationHandleType,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuMemPoolImportFromShareableHandle
            .as_ref()
            .expect("Expected function, got error."))(pool_out, handle, handleType, flags)
    }
    #[doc = " \\brief Export data to share a memory pool allocation between processes.\n\n Constructs \\p shareData_out for sharing a specific allocation from an already shared memory pool.\n The recipient process can import the allocation with the ::cuMemPoolImportPointer api.\n The data is not a handle and may be shared through any IPC mechanism.\n\n \\param[out] shareData_out - Returned export data\n \\param[in] ptr            - pointer to memory being exported\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemPoolExportToShareableHandle, ::cuMemPoolImportFromShareableHandle, ::cuMemPoolImportPointer"]
    pub unsafe fn cuMemPoolExportPointer(
        &self,
        shareData_out: *mut CUmemPoolPtrExportData,
        ptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuMemPoolExportPointer
            .as_ref()
            .expect("Expected function, got error."))(shareData_out, ptr)
    }
    #[doc = " \\brief Import a memory pool allocation from another process.\n\n Returns in \\p ptr_out a pointer to the imported memory.\n The imported memory must not be accessed before the allocation operation completes\n in the exporting process. The imported memory must be freed from all importing processes before\n being freed in the exporting process. The pointer may be freed with cuMemFree\n or cuMemFreeAsync.  If cuMemFreeAsync is used, the free must be completed\n on the importing process before the free operation on the exporting process.\n\n \\note The cuMemFreeAsync api may be used in the exporting process before\n       the cuMemFreeAsync operation completes in its stream as long as the\n       cuMemFreeAsync in the exporting process specifies a stream with\n       a stream dependency on the importing process's cuMemFreeAsync.\n\n \\param[out] ptr_out  - pointer to imported memory\n \\param[in] pool      - pool from which to import\n \\param[in] shareData - data specifying the memory to import\n\n \\returns\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_OUT_OF_MEMORY\n\n \\sa ::cuMemPoolExportToShareableHandle, ::cuMemPoolImportFromShareableHandle, ::cuMemPoolExportPointer"]
    pub unsafe fn cuMemPoolImportPointer(
        &self,
        ptr_out: *mut CUdeviceptr,
        pool: CUmemoryPool,
        shareData: *mut CUmemPoolPtrExportData,
    ) -> CUresult {
        (self
            .cuMemPoolImportPointer
            .as_ref()
            .expect("Expected function, got error."))(ptr_out, pool, shareData)
    }
    #[doc = " \\brief Returns information about a pointer\n\n The supported attributes are:\n\n - ::CU_POINTER_ATTRIBUTE_CONTEXT:\n\n      Returns in \\p *data the ::CUcontext in which \\p ptr was allocated or\n      registered.\n      The type of \\p data must be ::CUcontext *.\n\n      If \\p ptr was not allocated by, mapped by, or registered with\n      a ::CUcontext which uses unified virtual addressing then\n      ::CUDA_ERROR_INVALID_VALUE is returned.\n\n - ::CU_POINTER_ATTRIBUTE_MEMORY_TYPE:\n\n      Returns in \\p *data the physical memory type of the memory that\n      \\p ptr addresses as a ::CUmemorytype enumerated value.\n      The type of \\p data must be unsigned int.\n\n      If \\p ptr addresses device memory then \\p *data is set to\n      ::CU_MEMORYTYPE_DEVICE.  The particular ::CUdevice on which the\n      memory resides is the ::CUdevice of the ::CUcontext returned by the\n      ::CU_POINTER_ATTRIBUTE_CONTEXT attribute of \\p ptr.\n\n      If \\p ptr addresses host memory then \\p *data is set to\n      ::CU_MEMORYTYPE_HOST.\n\n      If \\p ptr was not allocated by, mapped by, or registered with\n      a ::CUcontext which uses unified virtual addressing then\n      ::CUDA_ERROR_INVALID_VALUE is returned.\n\n      If the current ::CUcontext does not support unified virtual\n      addressing then ::CUDA_ERROR_INVALID_CONTEXT is returned.\n\n - ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER:\n\n      Returns in \\p *data the device pointer value through which\n      \\p ptr may be accessed by kernels running in the current\n      ::CUcontext.\n      The type of \\p data must be CUdeviceptr *.\n\n      If there exists no device pointer value through which\n      kernels running in the current ::CUcontext may access\n      \\p ptr then ::CUDA_ERROR_INVALID_VALUE is returned.\n\n      If there is no current ::CUcontext then\n      ::CUDA_ERROR_INVALID_CONTEXT is returned.\n\n      Except in the exceptional disjoint addressing cases discussed\n      below, the value returned in \\p *data will equal the input\n      value \\p ptr.\n\n - ::CU_POINTER_ATTRIBUTE_HOST_POINTER:\n\n      Returns in \\p *data the host pointer value through which\n      \\p ptr may be accessed by by the host program.\n      The type of \\p data must be void **.\n      If there exists no host pointer value through which\n      the host program may directly access \\p ptr then\n      ::CUDA_ERROR_INVALID_VALUE is returned.\n\n      Except in the exceptional disjoint addressing cases discussed\n      below, the value returned in \\p *data will equal the input\n      value \\p ptr.\n\n - ::CU_POINTER_ATTRIBUTE_P2P_TOKENS:\n\n      Returns in \\p *data two tokens for use with the nv-p2p.h Linux\n      kernel interface. \\p data must be a struct of type\n      CUDA_POINTER_ATTRIBUTE_P2P_TOKENS.\n\n      \\p ptr must be a pointer to memory obtained from :cuMemAlloc().\n      Note that p2pToken and vaSpaceToken are only valid for the\n      lifetime of the source allocation. A subsequent allocation at\n      the same address may return completely different tokens.\n      Querying this attribute has a side effect of setting the attribute\n      ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS for the region of memory that\n      \\p ptr points to.\n\n - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS:\n\n      A boolean attribute which when set, ensures that synchronous memory operations\n      initiated on the region of memory that \\p ptr points to will always synchronize.\n      See further documentation in the section titled \"API synchronization behavior\"\n      to learn more about cases when synchronous memory operations can\n      exhibit asynchronous behavior.\n\n - ::CU_POINTER_ATTRIBUTE_BUFFER_ID:\n\n      Returns in \\p *data a buffer ID which is guaranteed to be unique within the process.\n      \\p data must point to an unsigned long long.\n\n      \\p ptr must be a pointer to memory obtained from a CUDA memory allocation API.\n      Every memory allocation from any of the CUDA memory allocation APIs will\n      have a unique ID over a process lifetime. Subsequent allocations do not reuse IDs\n      from previous freed allocations. IDs are only unique within a single process.\n\n\n - ::CU_POINTER_ATTRIBUTE_IS_MANAGED:\n\n      Returns in \\p *data a boolean that indicates whether the pointer points to\n      managed memory or not.\n\n      If \\p ptr is not a valid CUDA pointer then ::CUDA_ERROR_INVALID_VALUE is returned.\n\n - ::CU_POINTER_ATTRIBUTE_DEVICE_ORDINAL:\n\n      Returns in \\p *data an integer representing a device ordinal of a device against\n      which the memory was allocated or registered.\n\n - ::CU_POINTER_ATTRIBUTE_IS_LEGACY_CUDA_IPC_CAPABLE:\n\n      Returns in \\p *data a boolean that indicates if this pointer maps to\n      an allocation that is suitable for ::cudaIpcGetMemHandle.\n\n - ::CU_POINTER_ATTRIBUTE_RANGE_START_ADDR:\n\n      Returns in \\p *data the starting address for the allocation referenced\n      by the device pointer \\p ptr.  Note that this is not necessarily the\n      address of the mapped region, but the address of the mappable address\n      range \\p ptr references (e.g. from ::cuMemAddressReserve).\n\n - ::CU_POINTER_ATTRIBUTE_RANGE_SIZE:\n\n      Returns in \\p *data the size for the allocation referenced by the device\n      pointer \\p ptr.  Note that this is not necessarily the size of the mapped\n      region, but the size of the mappable address range \\p ptr references\n      (e.g. from ::cuMemAddressReserve).  To retrieve the size of the mapped\n      region, see ::cuMemGetAddressRange\n\n - ::CU_POINTER_ATTRIBUTE_MAPPED:\n\n      Returns in \\p *data a boolean that indicates if this pointer is in a\n      valid address range that is mapped to a backing allocation.\n\n - ::CU_POINTER_ATTRIBUTE_ALLOWED_HANDLE_TYPES:\n\n      Returns a bitmask of the allowed handle types for an allocation that may\n      be passed to ::cuMemExportToShareableHandle.\n\n - ::CU_POINTER_ATTRIBUTE_MEMPOOL_HANDLE:\n\n      Returns in \\p *data the handle to the mempool that the allocation was obtained from.\n\n \\par\n\n Note that for most allocations in the unified virtual address space\n the host and device pointer for accessing the allocation will be the\n same.  The exceptions to this are\n  - user memory registered using ::cuMemHostRegister\n  - host memory allocated using ::cuMemHostAlloc with the\n    ::CU_MEMHOSTALLOC_WRITECOMBINED flag\n For these types of allocation there will exist separate, disjoint host\n and device addresses for accessing the allocation.  In particular\n  - The host address will correspond to an invalid unmapped device address\n    (which will result in an exception if accessed from the device)\n  - The device address will correspond to an invalid unmapped host address\n    (which will result in an exception if accessed from the host).\n For these types of allocations, querying ::CU_POINTER_ATTRIBUTE_HOST_POINTER\n and ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER may be used to retrieve the host\n and device addresses from either address.\n\n \\param data      - Returned pointer attribute value\n \\param attribute - Pointer attribute to query\n \\param ptr       - Pointer\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuPointerSetAttribute,\n ::cuMemAlloc,\n ::cuMemFree,\n ::cuMemAllocHost,\n ::cuMemFreeHost,\n ::cuMemHostAlloc,\n ::cuMemHostRegister,\n ::cuMemHostUnregister,\n ::cudaPointerGetAttributes"]
    pub unsafe fn cuPointerGetAttribute(
        &self,
        data: *mut ::std::os::raw::c_void,
        attribute: CUpointer_attribute,
        ptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuPointerGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(data, attribute, ptr)
    }
    #[doc = " \\brief Prefetches memory to the specified destination device\n\n Prefetches memory to the specified destination device.  \\p devPtr is the\n base device pointer of the memory to be prefetched and \\p dstDevice is the\n destination device. \\p count specifies the number of bytes to copy. \\p hStream\n is the stream in which the operation is enqueued. The memory range must refer\n to managed memory allocated via ::cuMemAllocManaged or declared via __managed__ variables.\n\n Passing in CU_DEVICE_CPU for \\p dstDevice will prefetch the data to host memory. If\n \\p dstDevice is a GPU, then the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS\n must be non-zero. Additionally, \\p hStream must be associated with a device that has a\n non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS.\n\n The start address and end address of the memory range will be rounded down and rounded up\n respectively to be aligned to CPU page size before the prefetch operation is enqueued\n in the stream.\n\n If no physical memory has been allocated for this region, then this memory region\n will be populated and mapped on the destination device. If there's insufficient\n memory to prefetch the desired region, the Unified Memory driver may evict pages from other\n ::cuMemAllocManaged allocations to host memory in order to make room. Device memory\n allocated using ::cuMemAlloc or ::cuArrayCreate will not be evicted.\n\n By default, any mappings to the previous location of the migrated pages are removed and\n mappings for the new location are only setup on \\p dstDevice. The exact behavior however\n also depends on the settings applied to this memory range via ::cuMemAdvise as described\n below:\n\n If ::CU_MEM_ADVISE_SET_READ_MOSTLY was set on any subset of this memory range,\n then that subset will create a read-only copy of the pages on \\p dstDevice.\n\n If ::CU_MEM_ADVISE_SET_PREFERRED_LOCATION was called on any subset of this memory\n range, then the pages will be migrated to \\p dstDevice even if \\p dstDevice is not the\n preferred location of any pages in the memory range.\n\n If ::CU_MEM_ADVISE_SET_ACCESSED_BY was called on any subset of this memory range,\n then mappings to those pages from all the appropriate processors are updated to\n refer to the new location if establishing such a mapping is possible. Otherwise,\n those mappings are cleared.\n\n Note that this API is not required for functionality and only serves to improve performance\n by allowing the application to migrate data to a suitable location before it is accessed.\n Memory accesses to this range are always coherent and are allowed even when the data is\n actively being migrated.\n\n Note that this function is asynchronous with respect to the host and all work\n on other devices.\n\n \\param devPtr    - Pointer to be prefetched\n \\param count     - Size in bytes\n \\param dstDevice - Destination device to prefetch to\n \\param hStream    - Stream to enqueue prefetch operation\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n \\note_async\n \\note_null_stream\n\n \\sa ::cuMemcpy, ::cuMemcpyPeer, ::cuMemcpyAsync,\n ::cuMemcpy3DPeerAsync, ::cuMemAdvise,\n ::cudaMemPrefetchAsync"]
    pub unsafe fn cuMemPrefetchAsync(
        &self,
        devPtr: CUdeviceptr,
        count: usize,
        dstDevice: CUdevice,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuMemPrefetchAsync
            .as_ref()
            .expect("Expected function, got error."))(devPtr, count, dstDevice, hStream)
    }
    #[doc = " \\brief Advise about the usage of a given memory range\n\n Advise the Unified Memory subsystem about the usage pattern for the memory range\n starting at \\p devPtr with a size of \\p count bytes. The start address and end address of the memory\n range will be rounded down and rounded up respectively to be aligned to CPU page size before the\n advice is applied. The memory range must refer to managed memory allocated via ::cuMemAllocManaged\n or declared via __managed__ variables. The memory range could also refer to system-allocated pageable\n memory provided it represents a valid, host-accessible region of memory and all additional constraints\n imposed by \\p advice as outlined below are also satisfied. Specifying an invalid system-allocated pageable\n memory range results in an error being returned.\n\n The \\p advice parameter can take the following values:\n - ::CU_MEM_ADVISE_SET_READ_MOSTLY: This implies that the data is mostly going to be read\n from and only occasionally written to. Any read accesses from any processor to this region will create a\n read-only copy of at least the accessed pages in that processor's memory. Additionally, if ::cuMemPrefetchAsync\n is called on this region, it will create a read-only copy of the data on the destination processor.\n If any processor writes to this region, all copies of the corresponding page will be invalidated\n except for the one where the write occurred. The \\p device argument is ignored for this advice.\n Note that for a page to be read-duplicated, the accessing processor must either be the CPU or a GPU\n that has a non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS.\n Also, if a context is created on a device that does not have the device attribute\n ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS set, then read-duplication will not occur until\n all such contexts are destroyed.\n If the memory region refers to valid system-allocated pageable memory, then the accessing device must\n have a non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS for a read-only\n copy to be created on that device. Note however that if the accessing device also has a non-zero value for the\n device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES, then setting this advice\n will not create a read-only copy when that device accesses this memory region.\n\n - ::CU_MEM_ADVISE_UNSET_READ_MOSTLY:  Undoes the effect of ::CU_MEM_ADVISE_SET_READ_MOSTLY and also prevents the\n Unified Memory driver from attempting heuristic read-duplication on the memory range. Any read-duplicated\n copies of the data will be collapsed into a single copy. The location for the collapsed\n copy will be the preferred location if the page has a preferred location and one of the read-duplicated\n copies was resident at that location. Otherwise, the location chosen is arbitrary.\n\n - ::CU_MEM_ADVISE_SET_PREFERRED_LOCATION: This advice sets the preferred location for the\n data to be the memory belonging to \\p device. Passing in CU_DEVICE_CPU for \\p device sets the\n preferred location as host memory. If \\p device is a GPU, then it must have a non-zero value for the\n device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS. Setting the preferred location\n does not cause data to migrate to that location immediately. Instead, it guides the migration policy\n when a fault occurs on that memory region. If the data is already in its preferred location and the\n faulting processor can establish a mapping without requiring the data to be migrated, then\n data migration will be avoided. On the other hand, if the data is not in its preferred location\n or if a direct mapping cannot be established, then it will be migrated to the processor accessing\n it. It is important to note that setting the preferred location does not prevent data prefetching\n done using ::cuMemPrefetchAsync.\n Having a preferred location can override the page thrash detection and resolution logic in the Unified\n Memory driver. Normally, if a page is detected to be constantly thrashing between for example host and device\n memory, the page may eventually be pinned to host memory by the Unified Memory driver. But\n if the preferred location is set as device memory, then the page will continue to thrash indefinitely.\n If ::CU_MEM_ADVISE_SET_READ_MOSTLY is also set on this memory region or any subset of it, then the\n policies associated with that advice will override the policies of this advice, unless read accesses from\n \\p device will not result in a read-only copy being created on that device as outlined in description for\n the advice ::CU_MEM_ADVISE_SET_READ_MOSTLY.\n If the memory region refers to valid system-allocated pageable memory, then \\p device must have a non-zero\n value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS. Additionally, if \\p device has\n a non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES,\n then this call has no effect. Note however that this behavior may change in the future.\n\n - ::CU_MEM_ADVISE_UNSET_PREFERRED_LOCATION: Undoes the effect of ::CU_MEM_ADVISE_SET_PREFERRED_LOCATION\n and changes the preferred location to none.\n\n - ::CU_MEM_ADVISE_SET_ACCESSED_BY: This advice implies that the data will be accessed by \\p device.\n Passing in ::CU_DEVICE_CPU for \\p device will set the advice for the CPU. If \\p device is a GPU, then\n the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS must be non-zero.\n This advice does not cause data migration and has no impact on the location of the data per se. Instead,\n it causes the data to always be mapped in the specified processor's page tables, as long as the\n location of the data permits a mapping to be established. If the data gets migrated for any reason,\n the mappings are updated accordingly.\n This advice is recommended in scenarios where data locality is not important, but avoiding faults is.\n Consider for example a system containing multiple GPUs with peer-to-peer access enabled, where the\n data located on one GPU is occasionally accessed by peer GPUs. In such scenarios, migrating data\n over to the other GPUs is not as important because the accesses are infrequent and the overhead of\n migration may be too high. But preventing faults can still help improve performance, and so having\n a mapping set up in advance is useful. Note that on CPU access of this data, the data may be migrated\n to host memory because the CPU typically cannot access device memory directly. Any GPU that had the\n ::CU_MEM_ADVISE_SET_ACCESSED_BY flag set for this data will now have its mapping updated to point to the\n page in host memory.\n If ::CU_MEM_ADVISE_SET_READ_MOSTLY is also set on this memory region or any subset of it, then the\n policies associated with that advice will override the policies of this advice. Additionally, if the\n preferred location of this memory region or any subset of it is also \\p device, then the policies\n associated with ::CU_MEM_ADVISE_SET_PREFERRED_LOCATION will override the policies of this advice.\n If the memory region refers to valid system-allocated pageable memory, then \\p device must have a non-zero\n value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS. Additionally, if \\p device has\n a non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES,\n then this call has no effect.\n\n - ::CU_MEM_ADVISE_UNSET_ACCESSED_BY: Undoes the effect of ::CU_MEM_ADVISE_SET_ACCESSED_BY. Any mappings to\n the data from \\p device may be removed at any time causing accesses to result in non-fatal page faults.\n If the memory region refers to valid system-allocated pageable memory, then \\p device must have a non-zero\n value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS. Additionally, if \\p device has\n a non-zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS_USES_HOST_PAGE_TABLES,\n then this call has no effect.\n\n \\param devPtr - Pointer to memory to set the advice for\n \\param count  - Size in bytes of the memory range\n \\param advice - Advice to be applied for the specified memory range\n \\param device - Device to apply the advice for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n \\note_async\n \\note_null_stream\n\n \\sa ::cuMemcpy, ::cuMemcpyPeer, ::cuMemcpyAsync,\n ::cuMemcpy3DPeerAsync, ::cuMemPrefetchAsync,\n ::cudaMemAdvise"]
    pub unsafe fn cuMemAdvise(
        &self,
        devPtr: CUdeviceptr,
        count: usize,
        advice: CUmem_advise,
        device: CUdevice,
    ) -> CUresult {
        (self
            .cuMemAdvise
            .as_ref()
            .expect("Expected function, got error."))(devPtr, count, advice, device)
    }
    #[doc = " \\brief Query an attribute of a given memory range\n\n Query an attribute about the memory range starting at \\p devPtr with a size of \\p count bytes. The\n memory range must refer to managed memory allocated via ::cuMemAllocManaged or declared via\n __managed__ variables.\n\n The \\p attribute parameter can take the following values:\n - ::CU_MEM_RANGE_ATTRIBUTE_READ_MOSTLY: If this attribute is specified, \\p data will be interpreted\n as a 32-bit integer, and \\p dataSize must be 4. The result returned will be 1 if all pages in the given\n memory range have read-duplication enabled, or 0 otherwise.\n - ::CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION: If this attribute is specified, \\p data will be\n interpreted as a 32-bit integer, and \\p dataSize must be 4. The result returned will be a GPU device\n id if all pages in the memory range have that GPU as their preferred location, or it will be CU_DEVICE_CPU\n if all pages in the memory range have the CPU as their preferred location, or it will be CU_DEVICE_INVALID\n if either all the pages don't have the same preferred location or some of the pages don't have a\n preferred location at all. Note that the actual location of the pages in the memory range at the time of\n the query may be different from the preferred location.\n - ::CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY: If this attribute is specified, \\p data will be interpreted\n as an array of 32-bit integers, and \\p dataSize must be a non-zero multiple of 4. The result returned\n will be a list of device ids that had ::CU_MEM_ADVISE_SET_ACCESSED_BY set for that entire memory range.\n If any device does not have that advice set for the entire memory range, that device will not be included.\n If \\p data is larger than the number of devices that have that advice set for that memory range,\n CU_DEVICE_INVALID will be returned in all the extra space provided. For ex., if \\p dataSize is 12\n (i.e. \\p data has 3 elements) and only device 0 has the advice set, then the result returned will be\n { 0, CU_DEVICE_INVALID, CU_DEVICE_INVALID }. If \\p data is smaller than the number of devices that have\n that advice set, then only as many devices will be returned as can fit in the array. There is no\n guarantee on which specific devices will be returned, however.\n - ::CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION: If this attribute is specified, \\p data will be\n interpreted as a 32-bit integer, and \\p dataSize must be 4. The result returned will be the last location\n to which all pages in the memory range were prefetched explicitly via ::cuMemPrefetchAsync. This will either be\n a GPU id or CU_DEVICE_CPU depending on whether the last location for prefetch was a GPU or the CPU\n respectively. If any page in the memory range was never explicitly prefetched or if all pages were not\n prefetched to the same location, CU_DEVICE_INVALID will be returned. Note that this simply returns the\n last location that the applicaton requested to prefetch the memory range to. It gives no indication as to\n whether the prefetch operation to that location has completed or even begun.\n\n \\param data      - A pointers to a memory location where the result\n                    of each attribute query will be written to.\n \\param dataSize  - Array containing the size of data\n \\param attribute - The attribute to query\n \\param devPtr    - Start of the range to query\n \\param count     - Size of the range to query\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n \\note_async\n \\note_null_stream\n\n \\sa ::cuMemRangeGetAttributes, ::cuMemPrefetchAsync,\n ::cuMemAdvise,\n ::cudaMemRangeGetAttribute"]
    pub unsafe fn cuMemRangeGetAttribute(
        &self,
        data: *mut ::std::os::raw::c_void,
        dataSize: usize,
        attribute: CUmem_range_attribute,
        devPtr: CUdeviceptr,
        count: usize,
    ) -> CUresult {
        (self
            .cuMemRangeGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(
            data, dataSize, attribute, devPtr, count
        )
    }
    #[doc = " \\brief Query attributes of a given memory range.\n\n Query attributes of the memory range starting at \\p devPtr with a size of \\p count bytes. The\n memory range must refer to managed memory allocated via ::cuMemAllocManaged or declared via\n __managed__ variables. The \\p attributes array will be interpreted to have \\p numAttributes\n entries. The \\p dataSizes array will also be interpreted to have \\p numAttributes entries.\n The results of the query will be stored in \\p data.\n\n The list of supported attributes are given below. Please refer to ::cuMemRangeGetAttribute for\n attribute descriptions and restrictions.\n\n - ::CU_MEM_RANGE_ATTRIBUTE_READ_MOSTLY\n - ::CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION\n - ::CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY\n - ::CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION\n\n \\param data          - A two-dimensional array containing pointers to memory\n                        locations where the result of each attribute query will be written to.\n \\param dataSizes     - Array containing the sizes of each result\n \\param attributes    - An array of attributes to query\n                        (numAttributes and the number of attributes in this array should match)\n \\param numAttributes - Number of attributes to query\n \\param devPtr        - Start of the range to query\n \\param count         - Size of the range to query\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa ::cuMemRangeGetAttribute, ::cuMemAdvise,\n ::cuMemPrefetchAsync,\n ::cudaMemRangeGetAttributes"]
    pub unsafe fn cuMemRangeGetAttributes(
        &self,
        data: *mut *mut ::std::os::raw::c_void,
        dataSizes: *mut usize,
        attributes: *mut CUmem_range_attribute,
        numAttributes: usize,
        devPtr: CUdeviceptr,
        count: usize,
    ) -> CUresult {
        (self
            .cuMemRangeGetAttributes
            .as_ref()
            .expect("Expected function, got error."))(
            data,
            dataSizes,
            attributes,
            numAttributes,
            devPtr,
            count,
        )
    }
    #[doc = " \\brief Set attributes on a previously allocated memory region\n\n The supported attributes are:\n\n - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS:\n\n      A boolean attribute that can either be set (1) or unset (0). When set,\n      the region of memory that \\p ptr points to is guaranteed to always synchronize\n      memory operations that are synchronous. If there are some previously initiated\n      synchronous memory operations that are pending when this attribute is set, the\n      function does not return until those memory operations are complete.\n      See further documentation in the section titled \"API synchronization behavior\"\n      to learn more about cases when synchronous memory operations can\n      exhibit asynchronous behavior.\n      \\p value will be considered as a pointer to an unsigned integer to which this attribute is to be set.\n\n \\param value     - Pointer to memory containing the value to be set\n \\param attribute - Pointer attribute to set\n \\param ptr       - Pointer to a memory region allocated using CUDA memory allocation APIs\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa ::cuPointerGetAttribute,\n ::cuPointerGetAttributes,\n ::cuMemAlloc,\n ::cuMemFree,\n ::cuMemAllocHost,\n ::cuMemFreeHost,\n ::cuMemHostAlloc,\n ::cuMemHostRegister,\n ::cuMemHostUnregister"]
    pub unsafe fn cuPointerSetAttribute(
        &self,
        value: *const ::std::os::raw::c_void,
        attribute: CUpointer_attribute,
        ptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuPointerSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(value, attribute, ptr)
    }
    #[doc = " \\brief Returns information about a pointer.\n\n The supported attributes are (refer to ::cuPointerGetAttribute for attribute descriptions and restrictions):\n\n - ::CU_POINTER_ATTRIBUTE_CONTEXT\n - ::CU_POINTER_ATTRIBUTE_MEMORY_TYPE\n - ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER\n - ::CU_POINTER_ATTRIBUTE_HOST_POINTER\n - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS\n - ::CU_POINTER_ATTRIBUTE_BUFFER_ID\n - ::CU_POINTER_ATTRIBUTE_IS_MANAGED\n - ::CU_POINTER_ATTRIBUTE_DEVICE_ORDINAL\n - ::CU_POINTER_ATTRIBUTE_RANGE_START_ADDR\n - ::CU_POINTER_ATTRIBUTE_RANGE_SIZE\n - ::CU_POINTER_ATTRIBUTE_MAPPED\n - ::CU_POINTER_ATTRIBUTE_IS_LEGACY_CUDA_IPC_CAPABLE\n - ::CU_POINTER_ATTRIBUTE_ALLOWED_HANDLE_TYPES\n - ::CU_POINTER_ATTRIBUTE_MEMPOOL_HANDLE\n\n \\param numAttributes - Number of attributes to query\n \\param attributes    - An array of attributes to query\n                      (numAttributes and the number of attributes in this array should match)\n \\param data          - A two-dimensional array containing pointers to memory\n                      locations where the result of each attribute query will be written to.\n \\param ptr           - Pointer to query\n\n Unlike ::cuPointerGetAttribute, this function will not return an error when the \\p ptr\n encountered is not a valid CUDA pointer. Instead, the attributes are assigned default NULL values\n and CUDA_SUCCESS is returned.\n\n If \\p ptr was not allocated by, mapped by, or registered with a ::CUcontext which uses UVA\n (Unified Virtual Addressing), ::CUDA_ERROR_INVALID_CONTEXT is returned.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuPointerGetAttribute,\n ::cuPointerSetAttribute,\n ::cudaPointerGetAttributes"]
    pub unsafe fn cuPointerGetAttributes(
        &self,
        numAttributes: ::std::os::raw::c_uint,
        attributes: *mut CUpointer_attribute,
        data: *mut *mut ::std::os::raw::c_void,
        ptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuPointerGetAttributes
            .as_ref()
            .expect("Expected function, got error."))(numAttributes, attributes, data, ptr)
    }
    #[doc = " \\brief Create a stream\n\n Creates a stream and returns a handle in \\p phStream.  The \\p Flags argument\n determines behaviors of the stream.\n\n Valid values for \\p Flags are:\n - ::CU_STREAM_DEFAULT: Default stream creation flag.\n - ::CU_STREAM_NON_BLOCKING: Specifies that work running in the created\n   stream may run concurrently with work in stream 0 (the NULL stream), and that\n   the created stream should perform no implicit synchronization with stream 0.\n\n \\param phStream - Returned newly created stream\n \\param Flags    - Parameters for stream creation\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreateWithPriority,\n ::cuStreamGetPriority,\n ::cuStreamGetFlags,\n ::cuStreamWaitEvent,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamAddCallback,\n ::cudaStreamCreate,\n ::cudaStreamCreateWithFlags"]
    pub unsafe fn cuStreamCreate(
        &self,
        phStream: *mut CUstream,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamCreate
            .as_ref()
            .expect("Expected function, got error."))(phStream, Flags)
    }
    #[doc = " \\brief Create a stream with the given priority\n\n Creates a stream with the specified priority and returns a handle in \\p phStream.\n This API alters the scheduler priority of work in the stream. Work in a higher\n priority stream may preempt work already executing in a low priority stream.\n\n \\p priority follows a convention where lower numbers represent higher priorities.\n '0' represents default priority. The range of meaningful numerical priorities can\n be queried using ::cuCtxGetStreamPriorityRange. If the specified priority is\n outside the numerical range returned by ::cuCtxGetStreamPriorityRange,\n it will automatically be clamped to the lowest or the highest number in the range.\n\n \\param phStream    - Returned newly created stream\n \\param flags       - Flags for stream creation. See ::cuStreamCreate for a list of\n                      valid flags\n \\param priority    - Stream priority. Lower numbers represent higher priorities.\n                      See ::cuCtxGetStreamPriorityRange for more information about\n                      meaningful stream priorities that can be passed.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\note Stream priorities are supported only on GPUs\n with compute capability 3.5 or higher.\n\n \\note In the current implementation, only compute kernels launched in\n priority streams are affected by the stream's priority. Stream priorities have\n no effect on host-to-device and device-to-host memory operations.\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreate,\n ::cuStreamGetPriority,\n ::cuCtxGetStreamPriorityRange,\n ::cuStreamGetFlags,\n ::cuStreamWaitEvent,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamAddCallback,\n ::cudaStreamCreateWithPriority"]
    pub unsafe fn cuStreamCreateWithPriority(
        &self,
        phStream: *mut CUstream,
        flags: ::std::os::raw::c_uint,
        priority: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuStreamCreateWithPriority
            .as_ref()
            .expect("Expected function, got error."))(phStream, flags, priority)
    }
    #[doc = " \\brief Query the priority of a given stream\n\n Query the priority of a stream created using ::cuStreamCreate or ::cuStreamCreateWithPriority\n and return the priority in \\p priority. Note that if the stream was created with a\n priority outside the numerical range returned by ::cuCtxGetStreamPriorityRange,\n this function returns the clamped priority.\n See ::cuStreamCreateWithPriority for details about priority clamping.\n\n \\param hStream    - Handle to the stream to be queried\n \\param priority   - Pointer to a signed integer in which the stream's priority is returned\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreate,\n ::cuStreamCreateWithPriority,\n ::cuCtxGetStreamPriorityRange,\n ::cuStreamGetFlags,\n ::cudaStreamGetPriority"]
    pub unsafe fn cuStreamGetPriority(
        &self,
        hStream: CUstream,
        priority: *mut ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuStreamGetPriority
            .as_ref()
            .expect("Expected function, got error."))(hStream, priority)
    }
    #[doc = " \\brief Query the flags of a given stream\n\n Query the flags of a stream created using ::cuStreamCreate or ::cuStreamCreateWithPriority\n and return the flags in \\p flags.\n\n \\param hStream    - Handle to the stream to be queried\n \\param flags      - Pointer to an unsigned integer in which the stream's flags are returned\n                     The value returned in \\p flags is a logical 'OR' of all flags that\n                     were used while creating this stream. See ::cuStreamCreate for the list\n                     of valid flags\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreate,\n ::cuStreamGetPriority,\n ::cudaStreamGetFlags"]
    pub unsafe fn cuStreamGetFlags(
        &self,
        hStream: CUstream,
        flags: *mut ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamGetFlags
            .as_ref()
            .expect("Expected function, got error."))(hStream, flags)
    }
    #[doc = " \\brief Returns the unique Id associated with the stream handle supplied\n\n Returns in \\p streamId the unique Id which is associated with the given stream handle.\n The Id is unique for the life of the program for this instance of CUDA.\n\n The stream handle \\p hStream can refer to any of the following:\n <ul>\n   <li>a stream created via any of the CUDA driver APIs such as ::cuStreamCreate\n   and ::cuStreamCreateWithPriority, or their runtime API equivalents such as\n   ::cudaStreamCreate, ::cudaStreamCreateWithFlags and ::cudaStreamCreateWithPriority.\n   Passing an invalid handle will result in undefined behavior.</li>\n   <li>any of the special streams such as the NULL stream, ::CU_STREAM_LEGACY and\n   ::CU_STREAM_PER_THREAD. The runtime API equivalents of these are also accepted,\n   which are NULL, ::cudaStreamLegacy and ::cudaStreamPerThread respectively.</li>\n </ul>\n\n \\param hStream    - Handle to the stream to be queried\n \\param streamId   - Pointer to store the Id of the stream\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreate,\n ::cuStreamGetPriority,\n ::cudaStreamGetId"]
    pub unsafe fn cuStreamGetId(
        &self,
        hStream: CUstream,
        streamId: *mut ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuStreamGetId
            .as_ref()
            .expect("Expected function, got error."))(hStream, streamId)
    }
    #[doc = " \\brief Query the context associated with a stream\n\n Returns the CUDA context that the stream is associated with.\n\n The stream handle \\p hStream can refer to any of the following:\n <ul>\n   <li>a stream created via any of the CUDA driver APIs such as ::cuStreamCreate\n   and ::cuStreamCreateWithPriority, or their runtime API equivalents such as\n   ::cudaStreamCreate, ::cudaStreamCreateWithFlags and ::cudaStreamCreateWithPriority.\n   The returned context is the context that was active in the calling thread when the\n   stream was created. Passing an invalid handle will result in undefined behavior.</li>\n   <li>any of the special streams such as the NULL stream, ::CU_STREAM_LEGACY and\n   ::CU_STREAM_PER_THREAD. The runtime API equivalents of these are also accepted,\n   which are NULL, ::cudaStreamLegacy and ::cudaStreamPerThread respectively.\n   Specifying any of the special handles will return the context current to the\n   calling thread. If no context is current to the calling thread,\n   ::CUDA_ERROR_INVALID_CONTEXT is returned.</li>\n </ul>\n\n \\param hStream - Handle to the stream to be queried\n \\param pctx    - Returned context associated with the stream\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n \\notefnerr\n\n \\sa ::cuStreamDestroy,\n ::cuStreamCreateWithPriority,\n ::cuStreamGetPriority,\n ::cuStreamGetFlags,\n ::cuStreamWaitEvent,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamAddCallback,\n ::cudaStreamCreate,\n ::cudaStreamCreateWithFlags"]
    pub unsafe fn cuStreamGetCtx(&self, hStream: CUstream, pctx: *mut CUcontext) -> CUresult {
        (self
            .cuStreamGetCtx
            .as_ref()
            .expect("Expected function, got error."))(hStream, pctx)
    }
    #[doc = " \\brief Make a compute stream wait on an event\n\n Makes all future work submitted to \\p hStream wait for all work captured in\n \\p hEvent.  See ::cuEventRecord() for details on what is captured by an event.\n The synchronization will be performed efficiently on the device when applicable.\n \\p hEvent may be from a different context or device than \\p hStream.\n\n flags include:\n - ::CU_EVENT_WAIT_DEFAULT: Default event creation flag.\n - ::CU_EVENT_WAIT_EXTERNAL: Event is captured in the graph as an external\n   event node when performing stream capture. This flag is invalid outside\n   of stream capture.\n\n \\param hStream - Stream to wait\n \\param hEvent  - Event to wait on (may not be NULL)\n \\param Flags   - See ::CUevent_capture_flags\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuEventRecord,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamAddCallback,\n ::cuStreamDestroy,\n ::cudaStreamWaitEvent"]
    pub unsafe fn cuStreamWaitEvent(
        &self,
        hStream: CUstream,
        hEvent: CUevent,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamWaitEvent
            .as_ref()
            .expect("Expected function, got error."))(hStream, hEvent, Flags)
    }
    #[doc = " \\brief Add a callback to a compute stream\n\n \\note This function is slated for eventual deprecation and removal. If\n you do not require the callback to execute in case of a device error,\n consider using ::cuLaunchHostFunc. Additionally, this function is not\n supported with ::cuStreamBeginCapture and ::cuStreamEndCapture, unlike\n ::cuLaunchHostFunc.\n\n Adds a callback to be called on the host after all currently enqueued\n items in the stream have completed.  For each\n cuStreamAddCallback call, the callback will be executed exactly once.\n The callback will block later work in the stream until it is finished.\n\n The callback may be passed ::CUDA_SUCCESS or an error code.  In the event\n of a device error, all subsequently executed callbacks will receive an\n appropriate ::CUresult.\n\n Callbacks must not make any CUDA API calls.  Attempting to use a CUDA API\n will result in ::CUDA_ERROR_NOT_PERMITTED.  Callbacks must not perform any\n synchronization that may depend on outstanding device work or other callbacks\n that are not mandated to run earlier.  Callbacks without a mandated order\n (in independent streams) execute in undefined order and may be serialized.\n\n For the purposes of Unified Memory, callback execution makes a number of\n guarantees:\n <ul>\n   <li>The callback stream is considered idle for the duration of the\n   callback.  Thus, for example, a callback may always use memory attached\n   to the callback stream.</li>\n   <li>The start of execution of a callback has the same effect as\n   synchronizing an event recorded in the same stream immediately prior to\n   the callback.  It thus synchronizes streams which have been \"joined\"\n   prior to the callback.</li>\n   <li>Adding device work to any stream does not have the effect of making\n   the stream active until all preceding host functions and stream callbacks\n   have executed.  Thus, for\n   example, a callback might use global attached memory even if work has\n   been added to another stream, if the work has been ordered behind the\n   callback with an event.</li>\n   <li>Completion of a callback does not cause a stream to become\n   active except as described above.  The callback stream will remain idle\n   if no device work follows the callback, and will remain idle across\n   consecutive callbacks without device work in between.  Thus, for example,\n   stream synchronization can be done by signaling from a callback at the\n   end of the stream.</li>\n </ul>\n\n \\param hStream  - Stream to add callback to\n \\param callback - The function to call once preceding stream operations are complete\n \\param userData - User specified data to be passed to the callback function\n \\param flags    - Reserved for future use, must be 0\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamWaitEvent,\n ::cuStreamDestroy,\n ::cuMemAllocManaged,\n ::cuStreamAttachMemAsync,\n ::cuLaunchHostFunc,\n ::cudaStreamAddCallback"]
    pub unsafe fn cuStreamAddCallback(
        &self,
        hStream: CUstream,
        callback: CUstreamCallback,
        userData: *mut ::std::os::raw::c_void,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamAddCallback
            .as_ref()
            .expect("Expected function, got error."))(hStream, callback, userData, flags)
    }
    pub unsafe fn cuStreamBeginCapture_v2(
        &self,
        hStream: CUstream,
        mode: CUstreamCaptureMode,
    ) -> CUresult {
        (self
            .cuStreamBeginCapture_v2
            .as_ref()
            .expect("Expected function, got error."))(hStream, mode)
    }
    #[doc = " \\brief Swaps the stream capture interaction mode for a thread\n\n Sets the calling thread's stream capture interaction mode to the value contained\n in \\p *mode, and overwrites \\p *mode with the previous mode for the thread. To\n facilitate deterministic behavior across function or module boundaries, callers\n are encouraged to use this API in a push-pop fashion: \\code\nCUstreamCaptureMode mode = desiredMode;\ncuThreadExchangeStreamCaptureMode(&mode);\n...\ncuThreadExchangeStreamCaptureMode(&mode); // restore previous mode\n \\endcode\n\n During stream capture (see ::cuStreamBeginCapture), some actions, such as a call\n to ::cudaMalloc, may be unsafe. In the case of ::cudaMalloc, the operation is\n not enqueued asynchronously to a stream, and is not observed by stream capture.\n Therefore, if the sequence of operations captured via ::cuStreamBeginCapture\n depended on the allocation being replayed whenever the graph is launched, the\n captured graph would be invalid.\n\n Therefore, stream capture places restrictions on API calls that can be made within\n or concurrently to a ::cuStreamBeginCapture-::cuStreamEndCapture sequence. This\n behavior can be controlled via this API and flags to ::cuStreamBeginCapture.\n\n A thread's mode is one of the following:\n - \\p CU_STREAM_CAPTURE_MODE_GLOBAL: This is the default mode. If the local thread has\n   an ongoing capture sequence that was not initiated with\n   \\p CU_STREAM_CAPTURE_MODE_RELAXED at \\p cuStreamBeginCapture, or if any other thread\n   has a concurrent capture sequence initiated with \\p CU_STREAM_CAPTURE_MODE_GLOBAL,\n   this thread is prohibited from potentially unsafe API calls.\n - \\p CU_STREAM_CAPTURE_MODE_THREAD_LOCAL: If the local thread has an ongoing capture\n   sequence not initiated with \\p CU_STREAM_CAPTURE_MODE_RELAXED, it is prohibited\n   from potentially unsafe API calls. Concurrent capture sequences in other threads\n   are ignored.\n - \\p CU_STREAM_CAPTURE_MODE_RELAXED: The local thread is not prohibited from potentially\n   unsafe API calls. Note that the thread is still prohibited from API calls which\n   necessarily conflict with stream capture, for example, attempting ::cuEventQuery\n   on an event that was last recorded inside a capture sequence.\n\n \\param mode - Pointer to mode value to swap with the current mode\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cuStreamBeginCapture"]
    pub unsafe fn cuThreadExchangeStreamCaptureMode(
        &self,
        mode: *mut CUstreamCaptureMode,
    ) -> CUresult {
        (self
            .cuThreadExchangeStreamCaptureMode
            .as_ref()
            .expect("Expected function, got error."))(mode)
    }
    #[doc = " \\brief Ends capture on a stream, returning the captured graph\n\n End capture on \\p hStream, returning the captured graph via \\p phGraph.\n Capture must have been initiated on \\p hStream via a call to ::cuStreamBeginCapture.\n If capture was invalidated, due to a violation of the rules of stream capture, then\n a NULL graph will be returned.\n\n If the \\p mode argument to ::cuStreamBeginCapture was not\n ::CU_STREAM_CAPTURE_MODE_RELAXED, this call must be from the same thread as\n ::cuStreamBeginCapture.\n\n \\param hStream - Stream to query\n \\param phGraph - The captured graph\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_STREAM_CAPTURE_WRONG_THREAD\n \\notefnerr\n\n \\sa\n ::cuStreamCreate,\n ::cuStreamBeginCapture,\n ::cuStreamIsCapturing"]
    pub unsafe fn cuStreamEndCapture(&self, hStream: CUstream, phGraph: *mut CUgraph) -> CUresult {
        (self
            .cuStreamEndCapture
            .as_ref()
            .expect("Expected function, got error."))(hStream, phGraph)
    }
    #[doc = " \\brief Returns a stream's capture status\n\n Return the capture status of \\p hStream via \\p captureStatus. After a successful\n call, \\p *captureStatus will contain one of the following:\n - ::CU_STREAM_CAPTURE_STATUS_NONE: The stream is not capturing.\n - ::CU_STREAM_CAPTURE_STATUS_ACTIVE: The stream is capturing.\n - ::CU_STREAM_CAPTURE_STATUS_INVALIDATED: The stream was capturing but an error\n   has invalidated the capture sequence. The capture sequence must be terminated\n   with ::cuStreamEndCapture on the stream where it was initiated in order to\n   continue using \\p hStream.\n\n Note that, if this is called on ::CU_STREAM_LEGACY (the \"null stream\") while\n a blocking stream in the same context is capturing, it will return\n ::CUDA_ERROR_STREAM_CAPTURE_IMPLICIT and \\p *captureStatus is unspecified\n after the call. The blocking stream capture is not invalidated.\n\n When a blocking stream is capturing, the legacy stream is in an\n unusable state until the blocking stream capture is terminated. The legacy\n stream is not supported for stream capture, but attempted use would have an\n implicit dependency on the capturing stream(s).\n\n \\param hStream       - Stream to query\n \\param captureStatus - Returns the stream's capture status\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_STREAM_CAPTURE_IMPLICIT\n \\notefnerr\n\n \\sa\n ::cuStreamCreate,\n ::cuStreamBeginCapture,\n ::cuStreamEndCapture"]
    pub unsafe fn cuStreamIsCapturing(
        &self,
        hStream: CUstream,
        captureStatus: *mut CUstreamCaptureStatus,
    ) -> CUresult {
        (self
            .cuStreamIsCapturing
            .as_ref()
            .expect("Expected function, got error."))(hStream, captureStatus)
    }
    pub unsafe fn cuStreamGetCaptureInfo_v2(
        &self,
        hStream: CUstream,
        captureStatus_out: *mut CUstreamCaptureStatus,
        id_out: *mut cuuint64_t,
        graph_out: *mut CUgraph,
        dependencies_out: *mut *const CUgraphNode,
        numDependencies_out: *mut usize,
    ) -> CUresult {
        (self
            .cuStreamGetCaptureInfo_v2
            .as_ref()
            .expect("Expected function, got error."))(
            hStream,
            captureStatus_out,
            id_out,
            graph_out,
            dependencies_out,
            numDependencies_out,
        )
    }
    #[doc = " \\brief Update the set of dependencies in a capturing stream (11.3+)\n\n Modifies the dependency set of a capturing stream. The dependency set is the set\n of nodes that the next captured node in the stream will depend on.\n\n Valid flags are ::CU_STREAM_ADD_CAPTURE_DEPENDENCIES and\n ::CU_STREAM_SET_CAPTURE_DEPENDENCIES. These control whether the set passed to\n the API is added to the existing set or replaces it. A flags value of 0 defaults\n to ::CU_STREAM_ADD_CAPTURE_DEPENDENCIES.\n\n Nodes that are removed from the dependency set via this API do not result in\n ::CUDA_ERROR_STREAM_CAPTURE_UNJOINED if they are unreachable from the stream at\n ::cuStreamEndCapture.\n\n Returns ::CUDA_ERROR_ILLEGAL_STATE if the stream is not capturing.\n\n This API is new in CUDA 11.3. Developers requiring compatibility across minor\n versions to CUDA 11.0 should not use this API or provide a fallback.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_ILLEGAL_STATE\n\n \\sa\n ::cuStreamBeginCapture,\n ::cuStreamGetCaptureInfo,"]
    pub unsafe fn cuStreamUpdateCaptureDependencies(
        &self,
        hStream: CUstream,
        dependencies: *mut CUgraphNode,
        numDependencies: usize,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamUpdateCaptureDependencies
            .as_ref()
            .expect("Expected function, got error."))(
            hStream, dependencies, numDependencies, flags
        )
    }
    #[doc = " \\brief Attach memory to a stream asynchronously\n\n Enqueues an operation in \\p hStream to specify stream association of\n \\p length bytes of memory starting from \\p dptr. This function is a\n stream-ordered operation, meaning that it is dependent on, and will\n only take effect when, previous work in stream has completed. Any\n previous association is automatically replaced.\n\n \\p dptr must point to one of the following types of memories:\n - managed memory declared using the __managed__ keyword or allocated with\n   ::cuMemAllocManaged.\n - a valid host-accessible region of system-allocated pageable memory. This\n   type of memory may only be specified if the device associated with the\n   stream reports a non-zero value for the device attribute\n   ::CU_DEVICE_ATTRIBUTE_PAGEABLE_MEMORY_ACCESS.\n\n For managed allocations, \\p length must be either zero or the entire\n allocation's size. Both indicate that the entire allocation's stream\n association is being changed. Currently, it is not possible to change stream\n association for a portion of a managed allocation.\n\n For pageable host allocations, \\p length must be non-zero.\n\n The stream association is specified using \\p flags which must be\n one of ::CUmemAttach_flags.\n If the ::CU_MEM_ATTACH_GLOBAL flag is specified, the memory can be accessed\n by any stream on any device.\n If the ::CU_MEM_ATTACH_HOST flag is specified, the program makes a guarantee\n that it won't access the memory on the device from any stream on a device that\n has a zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS.\n If the ::CU_MEM_ATTACH_SINGLE flag is specified and \\p hStream is associated with\n a device that has a zero value for the device attribute ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS,\n the program makes a guarantee that it will only access the memory on the device\n from \\p hStream. It is illegal to attach singly to the NULL stream, because the\n NULL stream is a virtual global stream and not a specific stream. An error will\n be returned in this case.\n\n When memory is associated with a single stream, the Unified Memory system will\n allow CPU access to this memory region so long as all operations in \\p hStream\n have completed, regardless of whether other streams are active. In effect,\n this constrains exclusive ownership of the managed memory region by\n an active GPU to per-stream activity instead of whole-GPU activity.\n\n Accessing memory on the device from streams that are not associated with\n it will produce undefined results. No error checking is performed by the\n Unified Memory system to ensure that kernels launched into other streams\n do not access this region.\n\n It is a program's responsibility to order calls to ::cuStreamAttachMemAsync\n via events, synchronization or other means to ensure legal access to memory\n at all times. Data visibility and coherency will be changed appropriately\n for all kernels which follow a stream-association change.\n\n If \\p hStream is destroyed while data is associated with it, the association is\n removed and the association reverts to the default visibility of the allocation\n as specified at ::cuMemAllocManaged. For __managed__ variables, the default\n association is always ::CU_MEM_ATTACH_GLOBAL. Note that destroying a stream is an\n asynchronous operation, and as a result, the change to default association won't\n happen until all work in the stream has completed.\n\n \\param hStream - Stream in which to enqueue the attach operation\n \\param dptr    - Pointer to memory (must be a pointer to managed memory or\n                  to a valid host-accessible region of system-allocated\n                  pageable memory)\n \\param length  - Length of memory\n \\param flags   - Must be one of ::CUmemAttach_flags\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamWaitEvent,\n ::cuStreamDestroy,\n ::cuMemAllocManaged,\n ::cudaStreamAttachMemAsync"]
    pub unsafe fn cuStreamAttachMemAsync(
        &self,
        hStream: CUstream,
        dptr: CUdeviceptr,
        length: usize,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamAttachMemAsync
            .as_ref()
            .expect("Expected function, got error."))(hStream, dptr, length, flags)
    }
    #[doc = " \\brief Determine status of a compute stream\n\n Returns ::CUDA_SUCCESS if all operations in the stream specified by\n \\p hStream have completed, or ::CUDA_ERROR_NOT_READY if not.\n\n For the purposes of Unified Memory, a return value of ::CUDA_SUCCESS\n is equivalent to having called ::cuStreamSynchronize().\n\n \\param hStream - Stream to query status of\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_READY\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuStreamWaitEvent,\n ::cuStreamDestroy,\n ::cuStreamSynchronize,\n ::cuStreamAddCallback,\n ::cudaStreamQuery"]
    pub unsafe fn cuStreamQuery(&self, hStream: CUstream) -> CUresult {
        (self
            .cuStreamQuery
            .as_ref()
            .expect("Expected function, got error."))(hStream)
    }
    #[doc = " \\brief Wait until a stream's tasks are completed\n\n Waits until the device has completed all operations in the stream specified\n by \\p hStream. If the context was created with the\n ::CU_CTX_SCHED_BLOCKING_SYNC flag, the CPU thread will block until the\n stream is finished with all of its tasks.\n\n \\param hStream - Stream to wait for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE\n\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuStreamDestroy,\n ::cuStreamWaitEvent,\n ::cuStreamQuery,\n ::cuStreamAddCallback,\n ::cudaStreamSynchronize"]
    pub unsafe fn cuStreamSynchronize(&self, hStream: CUstream) -> CUresult {
        (self
            .cuStreamSynchronize
            .as_ref()
            .expect("Expected function, got error."))(hStream)
    }
    pub unsafe fn cuStreamDestroy_v2(&self, hStream: CUstream) -> CUresult {
        (self
            .cuStreamDestroy_v2
            .as_ref()
            .expect("Expected function, got error."))(hStream)
    }
    #[doc = " \\brief Copies attributes from source stream to destination stream.\n\n Copies attributes from source stream \\p src to destination stream \\p dst.\n Both streams must have the same context.\n\n \\param[out] dst Destination stream\n \\param[in] src Source stream\n For list of attributes see ::CUstreamAttrID\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuStreamCopyAttributes(&self, dst: CUstream, src: CUstream) -> CUresult {
        (self
            .cuStreamCopyAttributes
            .as_ref()
            .expect("Expected function, got error."))(dst, src)
    }
    #[doc = " \\brief Queries stream attribute.\n\n Queries attribute \\p attr from \\p hStream and stores it in corresponding\n member of \\p value_out.\n\n \\param[in] hStream\n \\param[in] attr\n \\param[out] value_out\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuStreamGetAttribute(
        &self,
        hStream: CUstream,
        attr: CUstreamAttrID,
        value_out: *mut CUstreamAttrValue,
    ) -> CUresult {
        (self
            .cuStreamGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(hStream, attr, value_out)
    }
    #[doc = " \\brief Sets stream attribute.\n\n Sets attribute \\p attr on \\p hStream from corresponding attribute of\n \\p value. The updated attribute will be applied to subsequent work\n submitted to the stream. It will not affect previously submitted work.\n\n \\param[out] hStream\n \\param[in] attr\n \\param[in] value\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuStreamSetAttribute(
        &self,
        hStream: CUstream,
        attr: CUstreamAttrID,
        value: *const CUstreamAttrValue,
    ) -> CUresult {
        (self
            .cuStreamSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(hStream, attr, value)
    }
    #[doc = " \\brief Creates an event\n\n Creates an event *phEvent for the current context with the flags specified via\n \\p Flags. Valid flags include:\n - ::CU_EVENT_DEFAULT: Default event creation flag.\n - ::CU_EVENT_BLOCKING_SYNC: Specifies that the created event should use blocking\n   synchronization.  A CPU thread that uses ::cuEventSynchronize() to wait on\n   an event created with this flag will block until the event has actually\n   been recorded.\n - ::CU_EVENT_DISABLE_TIMING: Specifies that the created event does not need\n   to record timing data.  Events created with this flag specified and\n   the ::CU_EVENT_BLOCKING_SYNC flag not specified will provide the best\n   performance when used with ::cuStreamWaitEvent() and ::cuEventQuery().\n - ::CU_EVENT_INTERPROCESS: Specifies that the created event may be used as an\n   interprocess event by ::cuIpcGetEventHandle(). ::CU_EVENT_INTERPROCESS must\n   be specified along with ::CU_EVENT_DISABLE_TIMING.\n\n \\param phEvent - Returns newly created event\n \\param Flags   - Event creation flags\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\notefnerr\n\n \\sa\n ::cuEventRecord,\n ::cuEventQuery,\n ::cuEventSynchronize,\n ::cuEventDestroy,\n ::cuEventElapsedTime,\n ::cudaEventCreate,\n ::cudaEventCreateWithFlags"]
    pub unsafe fn cuEventCreate(
        &self,
        phEvent: *mut CUevent,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuEventCreate
            .as_ref()
            .expect("Expected function, got error."))(phEvent, Flags)
    }
    #[doc = " \\brief Records an event\n\n Captures in \\p hEvent the contents of \\p hStream at the time of this call.\n \\p hEvent and \\p hStream must be from the same context.\n Calls such as ::cuEventQuery() or ::cuStreamWaitEvent() will then\n examine or wait for completion of the work that was captured. Uses of\n \\p hStream after this call do not modify \\p hEvent. See note on default\n stream behavior for what is captured in the default case.\n\n ::cuEventRecord() can be called multiple times on the same event and\n will overwrite the previously captured state. Other APIs such as\n ::cuStreamWaitEvent() use the most recently captured state at the time\n of the API call, and are not affected by later calls to\n ::cuEventRecord(). Before the first call to ::cuEventRecord(), an\n event represents an empty set of work, so for example ::cuEventQuery()\n would return ::CUDA_SUCCESS.\n\n \\param hEvent  - Event to record\n \\param hStream - Stream to record event for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuEventCreate,\n ::cuEventQuery,\n ::cuEventSynchronize,\n ::cuStreamWaitEvent,\n ::cuEventDestroy,\n ::cuEventElapsedTime,\n ::cudaEventRecord,\n ::cuEventRecordWithFlags"]
    pub unsafe fn cuEventRecord(&self, hEvent: CUevent, hStream: CUstream) -> CUresult {
        (self
            .cuEventRecord
            .as_ref()
            .expect("Expected function, got error."))(hEvent, hStream)
    }
    #[doc = " \\brief Records an event\n\n Captures in \\p hEvent the contents of \\p hStream at the time of this call.\n \\p hEvent and \\p hStream must be from the same context.\n Calls such as ::cuEventQuery() or ::cuStreamWaitEvent() will then\n examine or wait for completion of the work that was captured. Uses of\n \\p hStream after this call do not modify \\p hEvent. See note on default\n stream behavior for what is captured in the default case.\n\n ::cuEventRecordWithFlags() can be called multiple times on the same event and\n will overwrite the previously captured state. Other APIs such as\n ::cuStreamWaitEvent() use the most recently captured state at the time\n of the API call, and are not affected by later calls to\n ::cuEventRecordWithFlags(). Before the first call to ::cuEventRecordWithFlags(), an\n event represents an empty set of work, so for example ::cuEventQuery()\n would return ::CUDA_SUCCESS.\n\n flags include:\n - ::CU_EVENT_RECORD_DEFAULT: Default event creation flag.\n - ::CU_EVENT_RECORD_EXTERNAL: Event is captured in the graph as an external\n   event node when performing stream capture. This flag is invalid outside\n   of stream capture.\n\n \\param hEvent  - Event to record\n \\param hStream - Stream to record event for\n \\param flags   - See ::CUevent_capture_flags\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuEventCreate,\n ::cuEventQuery,\n ::cuEventSynchronize,\n ::cuStreamWaitEvent,\n ::cuEventDestroy,\n ::cuEventElapsedTime,\n ::cuEventRecord,\n ::cudaEventRecord"]
    pub unsafe fn cuEventRecordWithFlags(
        &self,
        hEvent: CUevent,
        hStream: CUstream,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuEventRecordWithFlags
            .as_ref()
            .expect("Expected function, got error."))(hEvent, hStream, flags)
    }
    #[doc = " \\brief Queries an event's status\n\n Queries the status of all work currently captured by \\p hEvent. See\n ::cuEventRecord() for details on what is captured by an event.\n\n Returns ::CUDA_SUCCESS if all captured work has been completed, or\n ::CUDA_ERROR_NOT_READY if any captured work is incomplete.\n\n For the purposes of Unified Memory, a return value of ::CUDA_SUCCESS\n is equivalent to having called ::cuEventSynchronize().\n\n \\param hEvent - Event to query\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_READY\n \\notefnerr\n\n \\sa ::cuEventCreate,\n ::cuEventRecord,\n ::cuEventSynchronize,\n ::cuEventDestroy,\n ::cuEventElapsedTime,\n ::cudaEventQuery"]
    pub unsafe fn cuEventQuery(&self, hEvent: CUevent) -> CUresult {
        (self
            .cuEventQuery
            .as_ref()
            .expect("Expected function, got error."))(hEvent)
    }
    #[doc = " \\brief Waits for an event to complete\n\n Waits until the completion of all work currently captured in \\p hEvent.\n See ::cuEventRecord() for details on what is captured by an event.\n\n Waiting for an event that was created with the ::CU_EVENT_BLOCKING_SYNC\n flag will cause the calling CPU thread to block until the event has\n been completed by the device.  If the ::CU_EVENT_BLOCKING_SYNC flag has\n not been set, then the CPU thread will busy-wait until the event has\n been completed by the device.\n\n \\param hEvent - Event to wait for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuEventCreate,\n ::cuEventRecord,\n ::cuEventQuery,\n ::cuEventDestroy,\n ::cuEventElapsedTime,\n ::cudaEventSynchronize"]
    pub unsafe fn cuEventSynchronize(&self, hEvent: CUevent) -> CUresult {
        (self
            .cuEventSynchronize
            .as_ref()
            .expect("Expected function, got error."))(hEvent)
    }
    pub unsafe fn cuEventDestroy_v2(&self, hEvent: CUevent) -> CUresult {
        (self
            .cuEventDestroy_v2
            .as_ref()
            .expect("Expected function, got error."))(hEvent)
    }
    #[doc = " \\brief Computes the elapsed time between two events\n\n Computes the elapsed time between two events (in milliseconds with a\n resolution of around 0.5 microseconds).\n\n If either event was last recorded in a non-NULL stream, the resulting time\n may be greater than expected (even if both used the same stream handle). This\n happens because the ::cuEventRecord() operation takes place asynchronously\n and there is no guarantee that the measured latency is actually just between\n the two events. Any number of other different stream operations could execute\n in between the two measured events, thus altering the timing in a significant\n way.\n\n If ::cuEventRecord() has not been called on either event then\n ::CUDA_ERROR_INVALID_HANDLE is returned. If ::cuEventRecord() has been called\n on both events but one or both of them has not yet been completed (that is,\n ::cuEventQuery() would return ::CUDA_ERROR_NOT_READY on at least one of the\n events), ::CUDA_ERROR_NOT_READY is returned. If either event was created with\n the ::CU_EVENT_DISABLE_TIMING flag, then this function will return\n ::CUDA_ERROR_INVALID_HANDLE.\n\n \\param pMilliseconds - Time between \\p hStart and \\p hEnd in ms\n \\param hStart        - Starting event\n \\param hEnd          - Ending event\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_READY,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa ::cuEventCreate,\n ::cuEventRecord,\n ::cuEventQuery,\n ::cuEventSynchronize,\n ::cuEventDestroy,\n ::cudaEventElapsedTime"]
    pub unsafe fn cuEventElapsedTime(
        &self,
        pMilliseconds: *mut f32,
        hStart: CUevent,
        hEnd: CUevent,
    ) -> CUresult {
        (self
            .cuEventElapsedTime
            .as_ref()
            .expect("Expected function, got error."))(pMilliseconds, hStart, hEnd)
    }
    #[doc = " \\brief Imports an external memory object\n\n Imports an externally allocated memory object and returns\n a handle to that in \\p extMem_out.\n\n The properties of the handle being imported must be described in\n \\p memHandleDesc. The ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC structure\n is defined as follows:\n\n \\code\ntypedef struct CUDA_EXTERNAL_MEMORY_HANDLE_DESC_st {\nCUexternalMemoryHandleType type;\nunion {\nint fd;\nstruct {\nvoid *handle;\nconst void *name;\n} win32;\nconst void *nvSciBufObject;\n} handle;\nunsigned long long size;\nunsigned int flags;\n} CUDA_EXTERNAL_MEMORY_HANDLE_DESC;\n \\endcode\n\n where ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type specifies the type\n of handle being imported. ::CUexternalMemoryHandleType is\n defined as:\n\n \\code\ntypedef enum CUexternalMemoryHandleType_enum {\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD          = 1,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32       = 2,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32_KMT   = 3,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_HEAP         = 4,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_RESOURCE     = 5,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE     = 6,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT = 7,\nCU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF           = 8\n} CUexternalMemoryHandleType;\n \\endcode\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD, then\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::fd must be a valid\n file descriptor referencing a memory object. Ownership of\n the file descriptor is transferred to the CUDA driver when the\n handle is imported successfully. Performing any operations on the\n file descriptor after it is imported results in undefined behavior.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32, then exactly one\n of ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name must not be\n NULL. If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n references a memory object. Ownership of this handle is\n not transferred to CUDA after the import operation, so the\n application must release the handle using the appropriate system\n call. If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n is not NULL, then it must point to a NULL-terminated array of\n UTF-16 characters that refers to a memory object.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_WIN32_KMT, then\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle must\n be non-NULL and\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n must be NULL. The handle specified must be a globally shared KMT\n handle. This handle does not hold a reference to the underlying\n object, and thus will be invalid when all references to the\n memory object are destroyed.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_HEAP, then exactly one\n of ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name must not be\n NULL. If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n is returned by ID3D12Device::CreateSharedHandle when referring to a\n ID3D12Heap object. This handle holds a reference to the underlying\n object. If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n is not NULL, then it must point to a NULL-terminated array of\n UTF-16 characters that refers to a ID3D12Heap object.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_RESOURCE, then exactly one\n of ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name must not be\n NULL. If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n is returned by ID3D12Device::CreateSharedHandle when referring to a\n ID3D12Resource object. This handle holds a reference to the\n underlying object. If\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n is not NULL, then it must point to a NULL-terminated array of\n UTF-16 characters that refers to a ID3D12Resource object.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE, then\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle must\n represent a valid shared NT handle that is returned by\n IDXGIResource1::CreateSharedHandle when referring to a\n ID3D11Resource object. If\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n is not NULL, then it must point to a NULL-terminated array of\n UTF-16 characters that refers to a ID3D11Resource object.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT, then\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::handle must\n represent a valid shared KMT handle that is returned by\n IDXGIResource::GetSharedHandle when referring to a\n ID3D11Resource object and\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::win32::name\n must be NULL.\n\n If ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type is\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF, then\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::handle::nvSciBufObject must be non-NULL\n and reference a valid NvSciBuf object.\n If the NvSciBuf object imported into CUDA is also mapped by other drivers, then the\n application must use ::cuWaitExternalSemaphoresAsync or ::cuSignalExternalSemaphoresAsync\n as appropriate barriers to maintain coherence between CUDA and the other drivers.\n See ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_SKIP_NVSCIBUF_MEMSYNC and ::CUDA_EXTERNAL_SEMAPHORE_WAIT_SKIP_NVSCIBUF_MEMSYNC\n for memory synchronization.\n\n\n The size of the memory object must be specified in\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::size.\n\n Specifying the flag ::CUDA_EXTERNAL_MEMORY_DEDICATED in\n ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::flags indicates that the\n resource is a dedicated resource. The definition of what a\n dedicated resource is outside the scope of this extension.\n This flag must be set if ::CUDA_EXTERNAL_MEMORY_HANDLE_DESC::type\n is one of the following:\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D12_RESOURCE\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_D3D11_RESOURCE_KMT\n\n \\param extMem_out    - Returned handle to an external memory object\n \\param memHandleDesc - Memory import handle descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OPERATING_SYSTEM\n \\notefnerr\n\n \\note If the Vulkan memory imported into CUDA is mapped on the CPU then the\n application must use vkInvalidateMappedMemoryRanges/vkFlushMappedMemoryRanges\n as well as appropriate Vulkan pipeline barriers to maintain coherence between\n CPU and GPU. For more information on these APIs, please refer to \"Synchronization\n and Cache Control\" chapter from Vulkan specification.\n\n \\sa ::cuDestroyExternalMemory,\n ::cuExternalMemoryGetMappedBuffer,\n ::cuExternalMemoryGetMappedMipmappedArray"]
    pub unsafe fn cuImportExternalMemory(
        &self,
        extMem_out: *mut CUexternalMemory,
        memHandleDesc: *const CUDA_EXTERNAL_MEMORY_HANDLE_DESC,
    ) -> CUresult {
        (self
            .cuImportExternalMemory
            .as_ref()
            .expect("Expected function, got error."))(extMem_out, memHandleDesc)
    }
    #[doc = " \\brief Maps a buffer onto an imported memory object\n\n Maps a buffer onto an imported memory object and returns a device\n pointer in \\p devPtr.\n\n The properties of the buffer being mapped must be described in\n \\p bufferDesc. The ::CUDA_EXTERNAL_MEMORY_BUFFER_DESC structure is\n defined as follows:\n\n \\code\ntypedef struct CUDA_EXTERNAL_MEMORY_BUFFER_DESC_st {\nunsigned long long offset;\nunsigned long long size;\nunsigned int flags;\n} CUDA_EXTERNAL_MEMORY_BUFFER_DESC;\n \\endcode\n\n where ::CUDA_EXTERNAL_MEMORY_BUFFER_DESC::offset is the offset in\n the memory object where the buffer's base address is.\n ::CUDA_EXTERNAL_MEMORY_BUFFER_DESC::size is the size of the buffer.\n ::CUDA_EXTERNAL_MEMORY_BUFFER_DESC::flags must be zero.\n\n The offset and size have to be suitably aligned to match the\n requirements of the external API. Mapping two buffers whose ranges\n overlap may or may not result in the same virtual address being\n returned for the overlapped portion. In such cases, the application\n must ensure that all accesses to that region from the GPU are\n volatile. Otherwise writes made via one address are not guaranteed\n to be visible via the other address, even if they're issued by the\n same thread. It is recommended that applications map the combined\n range instead of mapping separate buffers and then apply the\n appropriate offsets to the returned pointer to derive the\n individual buffers.\n\n The returned pointer \\p devPtr must be freed using ::cuMemFree.\n\n \\param devPtr     - Returned device pointer to buffer\n \\param extMem     - Handle to external memory object\n \\param bufferDesc - Buffer descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuImportExternalMemory,\n ::cuDestroyExternalMemory,\n ::cuExternalMemoryGetMappedMipmappedArray"]
    pub unsafe fn cuExternalMemoryGetMappedBuffer(
        &self,
        devPtr: *mut CUdeviceptr,
        extMem: CUexternalMemory,
        bufferDesc: *const CUDA_EXTERNAL_MEMORY_BUFFER_DESC,
    ) -> CUresult {
        (self
            .cuExternalMemoryGetMappedBuffer
            .as_ref()
            .expect("Expected function, got error."))(devPtr, extMem, bufferDesc)
    }
    #[doc = " \\brief Maps a CUDA mipmapped array onto an external memory object\n\n Maps a CUDA mipmapped array onto an external object and returns a\n handle to it in \\p mipmap.\n\n The properties of the CUDA mipmapped array being mapped must be\n described in \\p mipmapDesc. The structure\n ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC is defined as follows:\n\n \\code\ntypedef struct CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_st {\nunsigned long long offset;\nCUDA_ARRAY3D_DESCRIPTOR arrayDesc;\nunsigned int numLevels;\n} CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC;\n \\endcode\n\n where ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC::offset is the\n offset in the memory object where the base level of the mipmap\n chain is.\n ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC::arrayDesc describes\n the format, dimensions and type of the base level of the mipmap\n chain. For further details on these parameters, please refer to the\n documentation for ::cuMipmappedArrayCreate. Note that if the mipmapped\n array is bound as a color target in the graphics API, then the flag\n ::CUDA_ARRAY3D_COLOR_ATTACHMENT must be specified in\n ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC::arrayDesc::Flags.\n ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC::numLevels specifies\n the total number of levels in the mipmap chain.\n\n If \\p extMem was imported from a handle of type ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF, then\n ::CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC::numLevels must be equal to 1.\n\n The returned CUDA mipmapped array must be freed using ::cuMipmappedArrayDestroy.\n\n \\param mipmap     - Returned CUDA mipmapped array\n \\param extMem     - Handle to external memory object\n \\param mipmapDesc - CUDA array descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuImportExternalMemory,\n ::cuDestroyExternalMemory,\n ::cuExternalMemoryGetMappedBuffer"]
    pub unsafe fn cuExternalMemoryGetMappedMipmappedArray(
        &self,
        mipmap: *mut CUmipmappedArray,
        extMem: CUexternalMemory,
        mipmapDesc: *const CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC,
    ) -> CUresult {
        (self
            .cuExternalMemoryGetMappedMipmappedArray
            .as_ref()
            .expect("Expected function, got error."))(mipmap, extMem, mipmapDesc)
    }
    #[doc = " \\brief Destroys an external memory object.\n\n Destroys the specified external memory object. Any existing buffers\n and CUDA mipmapped arrays mapped onto this object must no longer be\n used and must be explicitly freed using ::cuMemFree and\n ::cuMipmappedArrayDestroy respectively.\n\n \\param extMem - External memory object to be destroyed\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuImportExternalMemory,\n ::cuExternalMemoryGetMappedBuffer,\n ::cuExternalMemoryGetMappedMipmappedArray"]
    pub unsafe fn cuDestroyExternalMemory(&self, extMem: CUexternalMemory) -> CUresult {
        (self
            .cuDestroyExternalMemory
            .as_ref()
            .expect("Expected function, got error."))(extMem)
    }
    #[doc = " \\brief Imports an external semaphore\n\n Imports an externally allocated synchronization object and returns\n a handle to that in \\p extSem_out.\n\n The properties of the handle being imported must be described in\n \\p semHandleDesc. The ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC is\n defined as follows:\n\n \\code\ntypedef struct CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_st {\nCUexternalSemaphoreHandleType type;\nunion {\nint fd;\nstruct {\nvoid *handle;\nconst void *name;\n} win32;\nconst void* NvSciSyncObj;\n} handle;\nunsigned int flags;\n} CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC;\n \\endcode\n\n where ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type specifies the type of\n handle being imported. ::CUexternalSemaphoreHandleType is defined\n as:\n\n \\code\ntypedef enum CUexternalSemaphoreHandleType_enum {\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD                = 1,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32             = 2,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT         = 3,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE              = 4,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE              = 5,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC                = 6,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX        = 7,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT    = 8,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD    = 9,\nCU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32 = 10\n} CUexternalSemaphoreHandleType;\n \\endcode\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::fd must be a valid\n file descriptor referencing a synchronization object. Ownership of\n the file descriptor is transferred to the CUDA driver when the\n handle is imported successfully. Performing any operations on the\n file descriptor after it is imported results in undefined behavior.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32, then exactly one\n of ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name must not be\n NULL. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n references a synchronization object. Ownership of this handle is\n not transferred to CUDA after the import operation, so the\n application must release the handle using the appropriate system\n call. If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n is not NULL, then it must name a valid synchronization object.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle must\n be non-NULL and\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n must be NULL. The handle specified must be a globally shared KMT\n handle. This handle does not hold a reference to the underlying\n object, and thus will be invalid when all references to the\n synchronization object are destroyed.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE, then exactly one\n of ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name must not be\n NULL. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n is returned by ID3D12Device::CreateSharedHandle when referring to a\n ID3D12Fence object. This handle holds a reference to the underlying\n object. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n is not NULL, then it must name a valid synchronization object that\n refers to a valid ID3D12Fence object.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n represents a valid shared NT handle that is returned by\n ID3D11Fence::CreateSharedHandle. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n is not NULL, then it must name a valid synchronization object that\n refers to a valid ID3D11Fence object.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::nvSciSyncObj\n represents a valid NvSciSyncObj.\n\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n represents a valid shared NT handle that\n is returned by IDXGIResource1::CreateSharedHandle when referring to\n a IDXGIKeyedMutex object. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n is not NULL, then it must name a valid synchronization object that\n refers to a valid IDXGIKeyedMutex object.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n represents a valid shared KMT handle that\n is returned by IDXGIResource::GetSharedHandle when referring to\n a IDXGIKeyedMutex object and\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name must be NULL.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD, then\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::fd must be a valid\n file descriptor referencing a synchronization object. Ownership of\n the file descriptor is transferred to the CUDA driver when the\n handle is imported successfully. Performing any operations on the\n file descriptor after it is imported results in undefined behavior.\n\n If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::type is\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32, then exactly one\n of ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle and\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name must not be\n NULL. If\n ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::handle\n is not NULL, then it must represent a valid shared NT handle that\n references a synchronization object. Ownership of this handle is\n not transferred to CUDA after the import operation, so the\n application must release the handle using the appropriate system\n call. If ::CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC::handle::win32::name\n is not NULL, then it must name a valid synchronization object.\n\n \\param extSem_out    - Returned handle to an external semaphore\n \\param semHandleDesc - Semaphore import handle descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OPERATING_SYSTEM\n \\notefnerr\n\n \\sa ::cuDestroyExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuImportExternalSemaphore(
        &self,
        extSem_out: *mut CUexternalSemaphore,
        semHandleDesc: *const CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC,
    ) -> CUresult {
        (self
            .cuImportExternalSemaphore
            .as_ref()
            .expect("Expected function, got error."))(extSem_out, semHandleDesc)
    }
    #[doc = " \\brief Signals a set of external semaphore objects\n\n Enqueues a signal operation on a set of externally allocated\n semaphore object in the specified stream. The operations will be\n executed when all prior operations in the stream complete.\n\n The exact semantics of signaling a semaphore depends on the type of\n the object.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT\n then signaling the semaphore will set it to the signaled state.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32\n then the semaphore will be set to the value specified in\n ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS::params::fence::value.\n\n If the semaphore object is of the type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC\n this API sets ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS::params::nvSciSync::fence\n to a value that can be used by subsequent waiters of the same NvSciSync object\n to order operations with those currently submitted in \\p stream. Such an update\n will overwrite previous contents of\n ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS::params::nvSciSync::fence. By default,\n signaling such an external semaphore object causes appropriate memory synchronization\n operations to be performed over all external memory objects that are imported as\n ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF. This ensures that any subsequent accesses\n made by other importers of the same set of NvSciBuf memory object(s) are coherent.\n These operations can be skipped by specifying the flag\n ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_SKIP_NVSCIBUF_MEMSYNC, which can be used as a\n performance optimization when data coherency is not required. But specifying this\n flag in scenarios where data coherency is required results in undefined behavior.\n Also, for semaphore object of the type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC,\n if the NvSciSyncAttrList used to create the NvSciSyncObj had not set the flags in\n ::cuDeviceGetNvSciSyncAttributes to CUDA_NVSCISYNC_ATTR_SIGNAL, this API will return\n CUDA_ERROR_NOT_SUPPORTED.\n NvSciSyncFence associated with semaphore object of the type\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC can be deterministic. For this the\n NvSciSyncAttrList used to create the semaphore object must have value of\n NvSciSyncAttrKey_RequireDeterministicFences key set to true. Deterministic fences\n allow users to enqueue a wait over the semaphore object even before corresponding\n signal is enqueued. For such a semaphore object, CUDA guarantees that each signal\n operation will increment the fence value by '1'. Users are expected to track count\n of signals enqueued on the semaphore object and insert waits accordingly. When such\n a semaphore object is signaled from multiple streams, due to concurrent stream\n execution, it is possible that the order in which the semaphore gets signaled is\n indeterministic. This could lead to waiters of the semaphore getting unblocked\n incorrectly. Users are expected to handle such situations, either by not using the\n same semaphore object with deterministic fence support enabled in different streams\n or by adding explicit dependency amongst such streams so that the semaphore is\n signaled in order.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT\n then the keyed mutex will be released with the key specified in\n ::CUDA_EXTERNAL_SEMAPHORE_PARAMS::params::keyedmutex::key.\n\n \\param extSemArray - Set of external semaphores to be signaled\n \\param paramsArray - Array of semaphore parameters\n \\param numExtSems  - Number of semaphores to signal\n \\param stream      - Stream to enqueue the signal operations in\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\notefnerr\n\n \\sa ::cuImportExternalSemaphore,\n ::cuDestroyExternalSemaphore,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuSignalExternalSemaphoresAsync(
        &self,
        extSemArray: *const CUexternalSemaphore,
        paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS,
        numExtSems: ::std::os::raw::c_uint,
        stream: CUstream,
    ) -> CUresult {
        (self
            .cuSignalExternalSemaphoresAsync
            .as_ref()
            .expect("Expected function, got error."))(
            extSemArray, paramsArray, numExtSems, stream
        )
    }
    #[doc = " \\brief Waits on a set of external semaphore objects\n\n Enqueues a wait operation on a set of externally allocated\n semaphore object in the specified stream. The operations will be\n executed when all prior operations in the stream complete.\n\n The exact semantics of waiting on a semaphore depends on the type\n of the object.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT\n then waiting on the semaphore will wait until the semaphore reaches\n the signaled state. The semaphore will then be reset to the\n unsignaled state. Therefore for every signal operation, there can\n only be one wait operation.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D12_FENCE,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_FENCE,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_FD,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32\n then waiting on the semaphore will wait until the value of the\n semaphore is greater than or equal to\n ::CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS::params::fence::value.\n\n If the semaphore object is of the type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC\n then, waiting on the semaphore will wait until the\n ::CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS::params::nvSciSync::fence is signaled by the\n signaler of the NvSciSyncObj that was associated with this semaphore object.\n By default, waiting on such an external semaphore object causes appropriate\n memory synchronization operations to be performed over all external memory objects\n that are imported as ::CU_EXTERNAL_MEMORY_HANDLE_TYPE_NVSCIBUF. This ensures that\n any subsequent accesses made by other importers of the same set of NvSciBuf memory\n object(s) are coherent. These operations can be skipped by specifying the flag\n ::CUDA_EXTERNAL_SEMAPHORE_WAIT_SKIP_NVSCIBUF_MEMSYNC, which can be used as a\n performance optimization when data coherency is not required. But specifying this\n flag in scenarios where data coherency is required results in undefined behavior.\n Also, for semaphore object of the type ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_NVSCISYNC,\n if the NvSciSyncAttrList used to create the NvSciSyncObj had not set the flags in\n ::cuDeviceGetNvSciSyncAttributes to CUDA_NVSCISYNC_ATTR_WAIT, this API will return\n CUDA_ERROR_NOT_SUPPORTED.\n\n If the semaphore object is any one of the following types:\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX,\n ::CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_D3D11_KEYED_MUTEX_KMT\n then the keyed mutex will be acquired when it is released with the key\n specified in ::CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS::params::keyedmutex::key\n or until the timeout specified by\n ::CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS::params::keyedmutex::timeoutMs\n has lapsed. The timeout interval can either be a finite value\n specified in milliseconds or an infinite value. In case an infinite\n value is specified the timeout never elapses. The windows INFINITE\n macro must be used to specify infinite timeout.\n\n \\param extSemArray - External semaphores to be waited on\n \\param paramsArray - Array of semaphore parameters\n \\param numExtSems  - Number of semaphores to wait on\n \\param stream      - Stream to enqueue the wait operations in\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_TIMEOUT\n \\notefnerr\n\n \\sa ::cuImportExternalSemaphore,\n ::cuDestroyExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync"]
    pub unsafe fn cuWaitExternalSemaphoresAsync(
        &self,
        extSemArray: *const CUexternalSemaphore,
        paramsArray: *const CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS,
        numExtSems: ::std::os::raw::c_uint,
        stream: CUstream,
    ) -> CUresult {
        (self
            .cuWaitExternalSemaphoresAsync
            .as_ref()
            .expect("Expected function, got error."))(
            extSemArray, paramsArray, numExtSems, stream
        )
    }
    #[doc = " \\brief Destroys an external semaphore\n\n Destroys an external semaphore object and releases any references\n to the underlying resource. Any outstanding signals or waits must\n have completed before the semaphore is destroyed.\n\n \\param extSem - External semaphore to be destroyed\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa ::cuImportExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuDestroyExternalSemaphore(&self, extSem: CUexternalSemaphore) -> CUresult {
        (self
            .cuDestroyExternalSemaphore
            .as_ref()
            .expect("Expected function, got error."))(extSem)
    }
    pub unsafe fn cuStreamWaitValue32_v2(
        &self,
        stream: CUstream,
        addr: CUdeviceptr,
        value: cuuint32_t,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamWaitValue32_v2
            .as_ref()
            .expect("Expected function, got error."))(stream, addr, value, flags)
    }
    pub unsafe fn cuStreamWaitValue64_v2(
        &self,
        stream: CUstream,
        addr: CUdeviceptr,
        value: cuuint64_t,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamWaitValue64_v2
            .as_ref()
            .expect("Expected function, got error."))(stream, addr, value, flags)
    }
    pub unsafe fn cuStreamWriteValue32_v2(
        &self,
        stream: CUstream,
        addr: CUdeviceptr,
        value: cuuint32_t,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamWriteValue32_v2
            .as_ref()
            .expect("Expected function, got error."))(stream, addr, value, flags)
    }
    pub unsafe fn cuStreamWriteValue64_v2(
        &self,
        stream: CUstream,
        addr: CUdeviceptr,
        value: cuuint64_t,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamWriteValue64_v2
            .as_ref()
            .expect("Expected function, got error."))(stream, addr, value, flags)
    }
    pub unsafe fn cuStreamBatchMemOp_v2(
        &self,
        stream: CUstream,
        count: ::std::os::raw::c_uint,
        paramArray: *mut CUstreamBatchMemOpParams,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuStreamBatchMemOp_v2
            .as_ref()
            .expect("Expected function, got error."))(stream, count, paramArray, flags)
    }
    #[doc = " \\brief Returns information about a function\n\n Returns in \\p *pi the integer value of the attribute \\p attrib on the kernel\n given by \\p hfunc. The supported attributes are:\n - ::CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK: The maximum number of threads\n   per block, beyond which a launch of the function would fail. This number\n   depends on both the function and the device on which the function is\n   currently loaded.\n - ::CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES: The size in bytes of\n   statically-allocated shared memory per block required by this function.\n   This does not include dynamically-allocated shared memory requested by\n   the user at runtime.\n - ::CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES: The size in bytes of user-allocated\n   constant memory required by this function.\n - ::CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES: The size in bytes of local memory\n   used by each thread of this function.\n - ::CU_FUNC_ATTRIBUTE_NUM_REGS: The number of registers used by each thread\n   of this function.\n - ::CU_FUNC_ATTRIBUTE_PTX_VERSION: The PTX virtual architecture version for\n   which the function was compiled. This value is the major PTX version * 10\n   + the minor PTX version, so a PTX version 1.3 function would return the\n   value 13. Note that this may return the undefined value of 0 for cubins\n   compiled prior to CUDA 3.0.\n - ::CU_FUNC_ATTRIBUTE_BINARY_VERSION: The binary architecture version for\n   which the function was compiled. This value is the major binary\n   version * 10 + the minor binary version, so a binary version 1.3 function\n   would return the value 13. Note that this will return a value of 10 for\n   legacy cubins that do not have a properly-encoded binary architecture\n   version.\n - ::CU_FUNC_CACHE_MODE_CA: The attribute to indicate whether the function has\n   been compiled with user specified option \"-Xptxas --dlcm=ca\" set .\n - ::CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES: The maximum size in bytes of\n   dynamically-allocated shared memory.\n - ::CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT: Preferred shared memory-L1\n   cache split ratio in percent of total shared memory.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SIZE_MUST_BE_SET: If this attribute is set, the\n   kernel must launch with a valid cluster size specified.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_WIDTH: The required cluster width in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_HEIGHT: The required cluster height in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_DEPTH: The required cluster depth in\n   blocks.\n - ::CU_FUNC_ATTRIBUTE_NON_PORTABLE_CLUSTER_SIZE_ALLOWED: Indicates whether\n   the function can be launched with non-portable cluster size. 1 is allowed,\n   0 is disallowed. A non-portable cluster size may only function on the\n   specific SKUs the program is tested on. The launch might fail if the\n   program is run on a different hardware platform. CUDA API provides\n   cudaOccupancyMaxActiveClusters to assist with checking whether the desired\n   size can be launched on the current device. A portable cluster size is\n   guaranteed to be functional on all compute capabilities higher than the\n   target compute capability. The portable cluster size for sm_90 is 8 blocks\n   per cluster. This value may increase for future compute capabilities. The\n   specific hardware unit may support higher cluster sizes that’s not\n   guaranteed to be portable.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE: The block\n   scheduling policy of a function. The value type is CUclusterSchedulingPolicy.\n\n \\param pi     - Returned attribute value\n \\param attrib - Attribute requested\n \\param hfunc  - Function to query attribute of\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuLaunchKernel,\n ::cudaFuncGetAttributes,\n ::cudaFuncSetAttribute,\n ::cuKernelGetAttribute"]
    pub unsafe fn cuFuncGetAttribute(
        &self,
        pi: *mut ::std::os::raw::c_int,
        attrib: CUfunction_attribute,
        hfunc: CUfunction,
    ) -> CUresult {
        (self
            .cuFuncGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(pi, attrib, hfunc)
    }
    #[doc = " \\brief Sets information about a function\n\n This call sets the value of a specified attribute \\p attrib on the kernel given\n by \\p hfunc to an integer value specified by \\p val\n This function returns CUDA_SUCCESS if the new value of the attribute could be\n successfully set. If the set fails, this call will return an error.\n Not all attributes can have values set. Attempting to set a value on a read-only\n attribute will result in an error (CUDA_ERROR_INVALID_VALUE)\n\n Supported attributes for the cuFuncSetAttribute call are:\n - ::CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES: This maximum size in bytes of\n   dynamically-allocated shared memory. The value should contain the requested\n   maximum size of dynamically-allocated shared memory. The sum of this value and\n   the function attribute ::CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES cannot exceed the\n   device attribute ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN.\n   The maximal size of requestable dynamic shared memory may differ by GPU\n   architecture.\n - ::CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT: On devices where the L1\n   cache and shared memory use the same hardware resources, this sets the shared memory\n   carveout preference, in percent of the total shared memory.\n   See ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR\n   This is only a hint, and the driver can choose a different ratio if required to execute the function.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_WIDTH: The required cluster width in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_HEIGHT: The required cluster height in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_REQUIRED_CLUSTER_DEPTH: The required cluster depth in\n   blocks. The width, height, and depth values must either all be 0 or all be\n   positive. The validity of the cluster dimensions is checked at launch time.\n   If the value is set during compile time, it cannot be set at runtime.\n   Setting it at runtime will return CUDA_ERROR_NOT_PERMITTED.\n - ::CU_FUNC_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE: The block\n   scheduling policy of a function. The value type is CUclusterSchedulingPolicy.\n\n \\param hfunc  - Function to query attribute of\n \\param attrib - Attribute requested\n \\param value   - The value to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuLaunchKernel,\n ::cudaFuncGetAttributes,\n ::cudaFuncSetAttribute,\n ::cuKernelSetAttribute"]
    pub unsafe fn cuFuncSetAttribute(
        &self,
        hfunc: CUfunction,
        attrib: CUfunction_attribute,
        value: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuFuncSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(hfunc, attrib, value)
    }
    #[doc = " \\brief Sets the preferred cache configuration for a device function\n\n On devices where the L1 cache and shared memory use the same hardware\n resources, this sets through \\p config the preferred cache configuration for\n the device function \\p hfunc. This is only a preference. The driver will use\n the requested configuration if possible, but it is free to choose a different\n configuration if required to execute \\p hfunc.  Any context-wide preference\n set via ::cuCtxSetCacheConfig() will be overridden by this per-function\n setting unless the per-function setting is ::CU_FUNC_CACHE_PREFER_NONE. In\n that case, the current context-wide setting will be used.\n\n This setting does nothing on devices where the size of the L1 cache and\n shared memory are fixed.\n\n Launching a kernel with a different preference than the most recent\n preference setting may insert a device-side synchronization point.\n\n\n The supported cache configurations are:\n - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)\n - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache\n - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory\n - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory\n\n \\param hfunc  - Kernel to configure cache for\n \\param config - Requested cache configuration\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cuLaunchKernel,\n ::cudaFuncSetCacheConfig,\n ::cuKernelSetCacheConfig"]
    pub unsafe fn cuFuncSetCacheConfig(&self, hfunc: CUfunction, config: CUfunc_cache) -> CUresult {
        (self
            .cuFuncSetCacheConfig
            .as_ref()
            .expect("Expected function, got error."))(hfunc, config)
    }
    #[doc = " \\brief Sets the shared memory configuration for a device function.\n\n On devices with configurable shared memory banks, this function will\n force all subsequent launches of the specified device function to have\n the given shared memory bank size configuration. On any given launch of the\n function, the shared memory configuration of the device will be temporarily\n changed if needed to suit the function's preferred configuration. Changes in\n shared memory configuration between subsequent launches of functions,\n may introduce a device side synchronization point.\n\n Any per-function setting of shared memory bank size set via\n ::cuFuncSetSharedMemConfig will override the context wide setting set with\n ::cuCtxSetSharedMemConfig.\n\n Changing the shared memory bank size will not increase shared memory usage\n or affect occupancy of kernels, but may have major effects on performance.\n Larger bank sizes will allow for greater potential bandwidth to shared memory,\n but will change what kinds of accesses to shared memory will result in bank\n conflicts.\n\n This function will do nothing on devices with fixed shared memory bank size.\n\n The supported bank configurations are:\n - ::CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE: use the context's shared memory\n   configuration when launching this function.\n - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE: set shared memory bank width to\n   be natively four bytes when launching this function.\n - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: set shared memory bank width to\n   be natively eight bytes when launching this function.\n\n \\param hfunc  - kernel to be given a shared memory config\n \\param config - requested shared memory configuration\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuCtxGetSharedMemConfig,\n ::cuCtxSetSharedMemConfig,\n ::cuFuncGetAttribute,\n ::cuLaunchKernel,\n ::cudaFuncSetSharedMemConfig"]
    pub unsafe fn cuFuncSetSharedMemConfig(
        &self,
        hfunc: CUfunction,
        config: CUsharedconfig,
    ) -> CUresult {
        (self
            .cuFuncSetSharedMemConfig
            .as_ref()
            .expect("Expected function, got error."))(hfunc, config)
    }
    #[doc = " \\brief Returns a module handle\n\n Returns in \\p *hmod the handle of the module that function \\p hfunc\n is located in. The lifetime of the module corresponds to the lifetime of\n the context it was loaded in or until the module is explicitly unloaded.\n\n The CUDA runtime manages its own modules loaded into the primary context.\n If the handle returned by this API refers to a module loaded by the CUDA runtime,\n calling ::cuModuleUnload() on that module will result in undefined behavior.\n\n \\param hmod - Returned module handle\n \\param hfunc   - Function to retrieve module for\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_NOT_FOUND\n \\notefnerr\n"]
    pub unsafe fn cuFuncGetModule(&self, hmod: *mut CUmodule, hfunc: CUfunction) -> CUresult {
        (self
            .cuFuncGetModule
            .as_ref()
            .expect("Expected function, got error."))(hmod, hfunc)
    }
    #[doc = " \\brief Launches a CUDA function ::CUfunction or a CUDA kernel ::CUkernel\n\n Invokes the function ::CUfunction or the kernel ::CUkernel \\p f\n on a \\p gridDimX x \\p gridDimY x \\p gridDimZ grid of blocks.\n Each block contains \\p blockDimX x \\p blockDimY x\n \\p blockDimZ threads.\n\n \\p sharedMemBytes sets the amount of dynamic shared memory that will be\n available to each thread block.\n\n Kernel parameters to \\p f can be specified in one of two ways:\n\n 1) Kernel parameters can be specified via \\p kernelParams.  If \\p f\n has N parameters, then \\p kernelParams needs to be an array of N\n pointers.  Each of \\p kernelParams[0] through \\p kernelParams[N-1]\n must point to a region of memory from which the actual kernel\n parameter will be copied.  The number of kernel parameters and their\n offsets and sizes do not need to be specified as that information is\n retrieved directly from the kernel's image.\n\n 2) Kernel parameters can also be packaged by the application into\n a single buffer that is passed in via the \\p extra parameter.\n This places the burden on the application of knowing each kernel\n parameter's size and alignment/padding within the buffer.  Here is\n an example of using the \\p extra parameter in this manner:\n \\code\nsize_t argBufferSize;\nchar argBuffer[256];\n\n// populate argBuffer and argBufferSize\n\nvoid *config[] = {\nCU_LAUNCH_PARAM_BUFFER_POINTER, argBuffer,\nCU_LAUNCH_PARAM_BUFFER_SIZE,    &argBufferSize,\nCU_LAUNCH_PARAM_END\n};\nstatus = cuLaunchKernel(f, gx, gy, gz, bx, by, bz, sh, s, NULL, config);\n \\endcode\n\n The \\p extra parameter exists to allow ::cuLaunchKernel to take\n additional less commonly used arguments.  \\p extra specifies a list of\n names of extra settings and their corresponding values.  Each extra\n setting name is immediately followed by the corresponding value.  The\n list must be terminated with either NULL or ::CU_LAUNCH_PARAM_END.\n\n - ::CU_LAUNCH_PARAM_END, which indicates the end of the \\p extra\n   array;\n - ::CU_LAUNCH_PARAM_BUFFER_POINTER, which specifies that the next\n   value in \\p extra will be a pointer to a buffer containing all\n   the kernel parameters for launching kernel \\p f;\n - ::CU_LAUNCH_PARAM_BUFFER_SIZE, which specifies that the next\n   value in \\p extra will be a pointer to a size_t containing the\n   size of the buffer specified with ::CU_LAUNCH_PARAM_BUFFER_POINTER;\n\n The error ::CUDA_ERROR_INVALID_VALUE will be returned if kernel\n parameters are specified with both \\p kernelParams and \\p extra\n (i.e. both \\p kernelParams and \\p extra are non-NULL).\n\n Calling ::cuLaunchKernel() invalidates the persistent function state\n set through the following deprecated APIs:\n  ::cuFuncSetBlockShape(),\n  ::cuFuncSetSharedSize(),\n  ::cuParamSetSize(),\n  ::cuParamSeti(),\n  ::cuParamSetf(),\n  ::cuParamSetv().\n\n Note that to use ::cuLaunchKernel(), the kernel \\p f must either have\n been compiled with toolchain version 3.2 or later so that it will\n contain kernel parameter information, or have no kernel parameters.\n If either of these conditions is not met, then ::cuLaunchKernel() will\n return ::CUDA_ERROR_INVALID_IMAGE.\n\n Note that the API can also be used to launch context-less kernel ::CUkernel\n by querying the handle using ::cuLibraryGetKernel() and then passing it\n to the API by casting to ::CUfunction. Here, the context to launch\n the kernel on will either be taken from the specified stream \\p hStream\n or the current context in case of NULL stream.\n\n \\param f              - Function ::CUfunction or Kernel ::CUkernel to launch\n \\param gridDimX       - Width of grid in blocks\n \\param gridDimY       - Height of grid in blocks\n \\param gridDimZ       - Depth of grid in blocks\n \\param blockDimX      - X dimension of each thread block\n \\param blockDimY      - Y dimension of each thread block\n \\param blockDimZ      - Z dimension of each thread block\n \\param sharedMemBytes - Dynamic shared-memory size per thread block in bytes\n \\param hStream        - Stream identifier\n \\param kernelParams   - Array of pointers to kernel parameters\n \\param extra          - Extra options\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_IMAGE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_NOT_FOUND\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cudaLaunchKernel,\n ::cuLibraryGetKernel,\n ::cuKernelSetCacheConfig,\n ::cuKernelGetAttribute,\n ::cuKernelSetAttribute"]
    pub unsafe fn cuLaunchKernel(
        &self,
        f: CUfunction,
        gridDimX: ::std::os::raw::c_uint,
        gridDimY: ::std::os::raw::c_uint,
        gridDimZ: ::std::os::raw::c_uint,
        blockDimX: ::std::os::raw::c_uint,
        blockDimY: ::std::os::raw::c_uint,
        blockDimZ: ::std::os::raw::c_uint,
        sharedMemBytes: ::std::os::raw::c_uint,
        hStream: CUstream,
        kernelParams: *mut *mut ::std::os::raw::c_void,
        extra: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLaunchKernel
            .as_ref()
            .expect("Expected function, got error."))(
            f,
            gridDimX,
            gridDimY,
            gridDimZ,
            blockDimX,
            blockDimY,
            blockDimZ,
            sharedMemBytes,
            hStream,
            kernelParams,
            extra,
        )
    }
    #[doc = " \\brief Launches a CUDA function ::CUfunction or a CUDA kernel ::CUkernel with launch-time configuration\n\n Invokes the function ::CUfunction or the kernel ::CUkernel \\p f with the specified launch-time configuration\n \\p config.\n\n The ::CUlaunchConfig structure is defined as:\n \\code\ntypedef struct CUlaunchConfig_st {\nunsigned int gridDimX;\nunsigned int gridDimY;\nunsigned int gridDimZ;\nunsigned int blockDimX;\nunsigned int blockDimY;\nunsigned int blockDimZ;\nunsigned int sharedMemBytes;\nCUstream hStream;\nCUlaunchAttribute *attrs;\nunsigned int numAttrs;\n} CUlaunchConfig;\n \\endcode\n where:\n - ::CUlaunchConfig::gridDimX is the width of the grid in blocks.\n - ::CUlaunchConfig::gridDimY is the height of the grid in blocks.\n - ::CUlaunchConfig::gridDimZ is the depth of the grid in blocks.\n - ::CUlaunchConfig::blockDimX is the X dimension of each thread block.\n - ::CUlaunchConfig::blockDimX is the Y dimension of each thread block.\n - ::CUlaunchConfig::blockDimZ is the Z dimension of each thread block.\n - ::CUlaunchConfig::sharedMemBytes is the dynamic shared-memory size per\n   thread block in bytes.\n - ::CUlaunchConfig::hStream is the handle to the stream to perform the launch\n   in. The CUDA context associated with this stream must match that associated\n   with function f.\n - ::CUlaunchConfig::attrs is an array of ::CUlaunchConfig::numAttrs\n   continguous ::CUlaunchAttribute elements. The value of this pointer is not\n   considered if ::CUlaunchConfig::numAttrs is zero. However, in that case, it\n   is recommended to set the pointer to NULL.\n - ::CUlaunchConfig::numAttrs is the numbers of attributes populating the\n   first ::CUlaunchConfig::numAttrs positions of the ::CUlaunchConfig::attrs\n   array.\n\n Launch-time configuration is specified by adding entries to\n ::CUlaunchConfig::attrs. Each entry is an attribute ID and a corresponding\n attribute value.\n\n The ::CUlaunchAttribute structure is defined as:\n \\code\ntypedef struct CUlaunchAttribute_st {\nCUlaunchAttributeID id;\nCUlaunchAttributeValue value;\n} CUlaunchAttribute;\n \\endcode\n where:\n - ::CUlaunchAttribute::id is a unique enum identifying the attribute.\n - ::CUlaunchAttribute::value is a union that hold the attribute value.\n\n An example of using the \\p config parameter:\n \\code\nCUlaunchAttribute coopAttr = {.id = CU_LAUNCH_ATTRIBUTE_COOPERATIVE,\n.value = 1};\nCUlaunchConfig config = {... // set block and grid dimensions\n.attrs = &coopAttr,\n.numAttrs = 1};\n\ncuLaunchKernelEx(&config, kernel, NULL, NULL);\n \\endcode\n\n The ::CUlaunchAttributeID enum is defined as:\n \\code\ntypedef enum CUlaunchAttributeID_enum {\nCU_LAUNCH_ATTRIBUTE_IGNORE = 0,\nCU_LAUNCH_ATTRIBUTE_ACCESS_POLICY_WINDOW   = 1,\nCU_LAUNCH_ATTRIBUTE_COOPERATIVE            = 2,\nCU_LAUNCH_ATTRIBUTE_SYNCHRONIZATION_POLICY = 3,\nCU_LAUNCH_ATTRIBUTE_CLUSTER_DIMENSION                    = 4,\nCU_LAUNCH_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE = 5,\nCU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION    = 6,\nCU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_EVENT                   = 7,\n} CUlaunchAttributeID;\n \\endcode\n\n and the corresponding ::CUlaunchAttributeValue union as :\n \\code\ntypedef union CUlaunchAttributeValue_union {\ncuuint64_t pad[8];\nCUaccessPolicyWindow accessPolicyWindow;\nint cooperative;\nCUsynchronizationPolicy syncPolicy;\nstruct {\nunsigned int x;\nunsigned int y;\nunsigned int z;\n} clusterDim;\nCUclusterSchedulingPolicy clusterSchedulingPolicyPreference;\nint programmaticStreamSerializationAllowed;\nstruct {\nCUevent event;\nint flags;\nint triggerAtBlockStart;\n} programmaticEvent;\n} CUlaunchAttributeValue;\n \\endcode\n\n Setting ::CU_LAUNCH_ATTRIBUTE_COOPERATIVE to a non-zero value causes the\n kernel launch to be a cooperative launch, with exactly the same usage and\n semantics of ::cuLaunchCooperativeKernel.\n\n Setting ::CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_STREAM_SERIALIZATION to a non-zero\n values causes the kernel to use programmatic means to resolve its stream\n dependency -- enabling the CUDA runtime to opportunistically allow the grid's\n execution to overlap with the previous kernel in the stream, if that kernel\n requests the overlap.\n\n ::CU_LAUNCH_ATTRIBUTE_PROGRAMMATIC_EVENT records an event along with the\n kernel launch. Event recorded through this launch attribute is guaranteed to\n only trigger after all block in the associated kernel trigger the event. A\n block can trigger the event through PTX launchdep.release or CUDA builtin\n function cudaTriggerProgrammaticLaunchCompletion(). A trigger can also be\n inserted at the beginning of each block's execution if triggerAtBlockStart is\n set to non-0. Note that dependents (including the CPU thread calling\n cuEventSynchronize()) are not guaranteed to observe the release precisely\n when it is released. For example, cuEventSynchronize() may only observe the\n event trigger long after the associated kernel has completed. This recording\n type is primarily meant for establishing programmatic dependency between\n device tasks. The event supplied must not be an interprocess or interop\n event. The event must disable timing (i.e. created with\n ::CU_EVENT_DISABLE_TIMING flag set).\n\n The effect of other attributes is consistent with their effect when set via\n persistent APIs.\n\n See ::cuStreamSetAttribute for\n - ::CU_LAUNCH_ATTRIBUTE_ACCESS_POLICY_WINDOW\n - ::CU_LAUNCH_ATTRIBUTE_SYNCHRONIZATION_POLICY\n\n See ::cuFunctionSetAttribute for\n - ::CU_LAUNCH_ATTRIBUTE_CLUSTER_DIMENSION\n - ::CU_LAUNCH_ATTRIBUTE_CLUSTER_SCHEDULING_POLICY_PREFERENCE\n\n Kernel parameters to \\p f can be specified in the same ways that they can be\n using ::cuLaunchKernel.\n\n Note that the API can also be used to launch context-less kernel ::CUkernel\n by querying the handle using ::cuLibraryGetKernel() and then passing it\n to the API by casting to ::CUfunction. Here, the context to launch\n the kernel on will either be taken from the specified stream ::CUlaunchConfig::hStream\n or the current context in case of NULL stream.\n\n \\param config         - Config to launch\n \\param f              - Function ::CUfunction or Kernel ::CUkernel to launch\n \\param kernelParams   - Array of pointers to kernel parameters\n \\param extra          - Extra options\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_IMAGE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_NOT_FOUND\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cudaLaunchKernel,\n ::cudaLaunchKernelEx,\n ::cuLibraryGetKernel,\n ::cuKernelSetCacheConfig,\n ::cuKernelGetAttribute,\n ::cuKernelSetAttribute"]
    pub unsafe fn cuLaunchKernelEx(
        &self,
        config: *const CUlaunchConfig,
        f: CUfunction,
        kernelParams: *mut *mut ::std::os::raw::c_void,
        extra: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLaunchKernelEx
            .as_ref()
            .expect("Expected function, got error."))(config, f, kernelParams, extra)
    }
    #[doc = " \\brief Launches a CUDA function ::CUfunction or a CUDA kernel ::CUkernel where thread blocks\n can cooperate and synchronize as they execute\n\n Invokes the function ::CUfunction or the kernel ::CUkernel \\p f on a \\p gridDimX x \\p gridDimY x \\p gridDimZ\n grid of blocks. Each block contains \\p blockDimX x \\p blockDimY x\n \\p blockDimZ threads.\n\n Note that the API can also be used to launch context-less kernel ::CUkernel\n by querying the handle using ::cuLibraryGetKernel() and then passing it\n to the API by casting to ::CUfunction. Here, the context to launch\n the kernel on will either be taken from the specified stream \\p hStream\n or the current context in case of NULL stream.\n\n \\p sharedMemBytes sets the amount of dynamic shared memory that will be\n available to each thread block.\n\n The device on which this kernel is invoked must have a non-zero value for\n the device attribute ::CU_DEVICE_ATTRIBUTE_COOPERATIVE_LAUNCH.\n\n The total number of blocks launched cannot exceed the maximum number of blocks per\n multiprocessor as returned by ::cuOccupancyMaxActiveBlocksPerMultiprocessor (or\n ::cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags) times the number of multiprocessors\n as specified by the device attribute ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT.\n\n The kernel cannot make use of CUDA dynamic parallelism.\n\n Kernel parameters must be specified via \\p kernelParams.  If \\p f\n has N parameters, then \\p kernelParams needs to be an array of N\n pointers.  Each of \\p kernelParams[0] through \\p kernelParams[N-1]\n must point to a region of memory from which the actual kernel\n parameter will be copied.  The number of kernel parameters and their\n offsets and sizes do not need to be specified as that information is\n retrieved directly from the kernel's image.\n\n Calling ::cuLaunchCooperativeKernel() sets persistent function state that is\n the same as function state set through ::cuLaunchKernel API\n\n When the kernel \\p f is launched via ::cuLaunchCooperativeKernel(), the previous\n block shape, shared size and parameter info associated with \\p f\n is overwritten.\n\n Note that to use ::cuLaunchCooperativeKernel(), the kernel \\p f must either have\n been compiled with toolchain version 3.2 or later so that it will\n contain kernel parameter information, or have no kernel parameters.\n If either of these conditions is not met, then ::cuLaunchCooperativeKernel() will\n return ::CUDA_ERROR_INVALID_IMAGE.\n\n Note that the API can also be used to launch context-less kernel ::CUkernel\n by querying the handle using ::cuLibraryGetKernel() and then passing it\n to the API by casting to ::CUfunction. Here, the context to launch\n the kernel on will either be taken from the specified stream \\p hStream\n or the current context in case of NULL stream.\n\n \\param f              - Function ::CUfunction or Kernel ::CUkernel to launch\n \\param gridDimX       - Width of grid in blocks\n \\param gridDimY       - Height of grid in blocks\n \\param gridDimZ       - Depth of grid in blocks\n \\param blockDimX      - X dimension of each thread block\n \\param blockDimY      - Y dimension of each thread block\n \\param blockDimZ      - Z dimension of each thread block\n \\param sharedMemBytes - Dynamic shared-memory size per thread block in bytes\n \\param hStream        - Stream identifier\n \\param kernelParams   - Array of pointers to kernel parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_IMAGE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED,\n ::CUDA_ERROR_NOT_FOUND\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cuLaunchCooperativeKernelMultiDevice,\n ::cudaLaunchCooperativeKernel,\n ::cuLibraryGetKernel,\n ::cuKernelSetCacheConfig,\n ::cuKernelGetAttribute,\n ::cuKernelSetAttribute"]
    pub unsafe fn cuLaunchCooperativeKernel(
        &self,
        f: CUfunction,
        gridDimX: ::std::os::raw::c_uint,
        gridDimY: ::std::os::raw::c_uint,
        gridDimZ: ::std::os::raw::c_uint,
        blockDimX: ::std::os::raw::c_uint,
        blockDimY: ::std::os::raw::c_uint,
        blockDimZ: ::std::os::raw::c_uint,
        sharedMemBytes: ::std::os::raw::c_uint,
        hStream: CUstream,
        kernelParams: *mut *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLaunchCooperativeKernel
            .as_ref()
            .expect("Expected function, got error."))(
            f,
            gridDimX,
            gridDimY,
            gridDimZ,
            blockDimX,
            blockDimY,
            blockDimZ,
            sharedMemBytes,
            hStream,
            kernelParams,
        )
    }
    #[doc = " \\brief Launches CUDA functions on multiple devices where thread blocks can cooperate and synchronize as they execute\n\n \\deprecated This function is deprecated as of CUDA 11.3.\n\n Invokes kernels as specified in the \\p launchParamsList array where each element\n of the array specifies all the parameters required to perform a single kernel launch.\n These kernels can cooperate and synchronize as they execute. The size of the array is\n specified by \\p numDevices.\n\n No two kernels can be launched on the same device. All the devices targeted by this\n multi-device launch must be identical. All devices must have a non-zero value for the\n device attribute ::CU_DEVICE_ATTRIBUTE_COOPERATIVE_MULTI_DEVICE_LAUNCH.\n\n All kernels launched must be identical with respect to the compiled code. Note that\n any __device__, __constant__ or __managed__ variables present in the module that owns\n the kernel launched on each device, are independently instantiated on every device.\n It is the application's responsiblity to ensure these variables are initialized and\n used appropriately.\n\n The size of the grids as specified in blocks, the size of the blocks themselves\n and the amount of shared memory used by each thread block must also match across\n all launched kernels.\n\n The streams used to launch these kernels must have been created via either ::cuStreamCreate\n or ::cuStreamCreateWithPriority. The NULL stream or ::CU_STREAM_LEGACY or ::CU_STREAM_PER_THREAD\n cannot be used.\n\n The total number of blocks launched per kernel cannot exceed the maximum number of blocks\n per multiprocessor as returned by ::cuOccupancyMaxActiveBlocksPerMultiprocessor (or\n ::cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags) times the number of multiprocessors\n as specified by the device attribute ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT. Since the\n total number of blocks launched per device has to match across all devices, the maximum\n number of blocks that can be launched per device will be limited by the device with the\n least number of multiprocessors.\n\n The kernels cannot make use of CUDA dynamic parallelism.\n\n The ::CUDA_LAUNCH_PARAMS structure is defined as:\n \\code\ntypedef struct CUDA_LAUNCH_PARAMS_st\n{\nCUfunction function;\nunsigned int gridDimX;\nunsigned int gridDimY;\nunsigned int gridDimZ;\nunsigned int blockDimX;\nunsigned int blockDimY;\nunsigned int blockDimZ;\nunsigned int sharedMemBytes;\nCUstream hStream;\nvoid **kernelParams;\n} CUDA_LAUNCH_PARAMS;\n \\endcode\n where:\n - ::CUDA_LAUNCH_PARAMS::function specifies the kernel to be launched. All functions must\n   be identical with respect to the compiled code.\n   Note that you can also specify context-less kernel ::CUkernel by querying the handle\n   using ::cuLibraryGetKernel() and then casting to ::CUfunction. In this case, the context to\n   launch the kernel on be taken from the specified stream ::CUDA_LAUNCH_PARAMS::hStream.\n - ::CUDA_LAUNCH_PARAMS::gridDimX is the width of the grid in blocks. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::gridDimY is the height of the grid in blocks. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::gridDimZ is the depth of the grid in blocks. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::blockDimX is the X dimension of each thread block. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::blockDimX is the Y dimension of each thread block. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::blockDimZ is the Z dimension of each thread block. This must match across\n   all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::sharedMemBytes is the dynamic shared-memory size per thread block in bytes.\n   This must match across all kernels launched.\n - ::CUDA_LAUNCH_PARAMS::hStream is the handle to the stream to perform the launch in. This cannot\n   be the NULL stream or ::CU_STREAM_LEGACY or ::CU_STREAM_PER_THREAD. The CUDA context associated\n   with this stream must match that associated with ::CUDA_LAUNCH_PARAMS::function.\n - ::CUDA_LAUNCH_PARAMS::kernelParams is an array of pointers to kernel parameters. If\n   ::CUDA_LAUNCH_PARAMS::function has N parameters, then ::CUDA_LAUNCH_PARAMS::kernelParams\n   needs to be an array of N pointers. Each of ::CUDA_LAUNCH_PARAMS::kernelParams[0] through\n   ::CUDA_LAUNCH_PARAMS::kernelParams[N-1] must point to a region of memory from which the actual\n   kernel parameter will be copied. The number of kernel parameters and their offsets and sizes\n   do not need to be specified as that information is retrieved directly from the kernel's image.\n\n By default, the kernel won't begin execution on any GPU until all prior work in all the specified\n streams has completed. This behavior can be overridden by specifying the flag\n ::CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_PRE_LAUNCH_SYNC. When this flag is specified, each kernel\n will only wait for prior work in the stream corresponding to that GPU to complete before it begins\n execution.\n\n Similarly, by default, any subsequent work pushed in any of the specified streams will not begin\n execution until the kernels on all GPUs have completed. This behavior can be overridden by specifying\n the flag ::CUDA_COOPERATIVE_LAUNCH_MULTI_DEVICE_NO_POST_LAUNCH_SYNC. When this flag is specified,\n any subsequent work pushed in any of the specified streams will only wait for the kernel launched\n on the GPU corresponding to that stream to complete before it begins execution.\n\n Calling ::cuLaunchCooperativeKernelMultiDevice() sets persistent function state that is\n the same as function state set through ::cuLaunchKernel API when called individually for each\n element in \\p launchParamsList.\n\n When kernels are launched via ::cuLaunchCooperativeKernelMultiDevice(), the previous\n block shape, shared size and parameter info associated with each ::CUDA_LAUNCH_PARAMS::function\n in \\p launchParamsList is overwritten.\n\n Note that to use ::cuLaunchCooperativeKernelMultiDevice(), the kernels must either have\n been compiled with toolchain version 3.2 or later so that it will\n contain kernel parameter information, or have no kernel parameters.\n If either of these conditions is not met, then ::cuLaunchCooperativeKernelMultiDevice() will\n return ::CUDA_ERROR_INVALID_IMAGE.\n\n \\param launchParamsList - List of launch parameters, one per device\n \\param numDevices       - Size of the \\p launchParamsList array\n \\param flags            - Flags to control launch behavior\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_IMAGE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuCtxGetCacheConfig,\n ::cuCtxSetCacheConfig,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cuLaunchCooperativeKernel,\n ::cudaLaunchCooperativeKernelMultiDevice"]
    pub unsafe fn cuLaunchCooperativeKernelMultiDevice(
        &self,
        launchParamsList: *mut CUDA_LAUNCH_PARAMS,
        numDevices: ::std::os::raw::c_uint,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuLaunchCooperativeKernelMultiDevice
            .as_ref()
            .expect("Expected function, got error."))(launchParamsList, numDevices, flags)
    }
    #[doc = " \\brief Enqueues a host function call in a stream\n\n Enqueues a host function to run in a stream.  The function will be called\n after currently enqueued work and will block work added after it.\n\n The host function must not make any CUDA API calls.  Attempting to use a\n CUDA API may result in ::CUDA_ERROR_NOT_PERMITTED, but this is not required.\n The host function must not perform any synchronization that may depend on\n outstanding CUDA work not mandated to run earlier.  Host functions without a\n mandated order (such as in independent streams) execute in undefined order\n and may be serialized.\n\n For the purposes of Unified Memory, execution makes a number of guarantees:\n <ul>\n   <li>The stream is considered idle for the duration of the function's\n   execution.  Thus, for example, the function may always use memory attached\n   to the stream it was enqueued in.</li>\n   <li>The start of execution of the function has the same effect as\n   synchronizing an event recorded in the same stream immediately prior to\n   the function.  It thus synchronizes streams which have been \"joined\"\n   prior to the function.</li>\n   <li>Adding device work to any stream does not have the effect of making\n   the stream active until all preceding host functions and stream callbacks\n   have executed.  Thus, for\n   example, a function might use global attached memory even if work has\n   been added to another stream, if the work has been ordered behind the\n   function call with an event.</li>\n   <li>Completion of the function does not cause a stream to become\n   active except as described above.  The stream will remain idle\n   if no device work follows the function, and will remain idle across\n   consecutive host functions or stream callbacks without device work in\n   between.  Thus, for example,\n   stream synchronization can be done by signaling from a host function at the\n   end of the stream.</li>\n </ul>\n\n Note that, in contrast to ::cuStreamAddCallback, the function will not be\n called in the event of an error in the CUDA context.\n\n \\param hStream  - Stream to enqueue function call in\n \\param fn       - The function to call once preceding stream operations are complete\n \\param userData - User-specified data to be passed to the function\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_SUPPORTED\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuStreamCreate,\n ::cuStreamQuery,\n ::cuStreamSynchronize,\n ::cuStreamWaitEvent,\n ::cuStreamDestroy,\n ::cuMemAllocManaged,\n ::cuStreamAttachMemAsync,\n ::cuStreamAddCallback"]
    pub unsafe fn cuLaunchHostFunc(
        &self,
        hStream: CUstream,
        fn_: CUhostFn,
        userData: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuLaunchHostFunc
            .as_ref()
            .expect("Expected function, got error."))(hStream, fn_, userData)
    }
    #[doc = " \\brief Sets the block-dimensions for the function\n\n \\deprecated\n\n Specifies the \\p x, \\p y, and \\p z dimensions of the thread blocks that are\n created when the kernel given by \\p hfunc is launched.\n\n \\param hfunc - Kernel to specify dimensions of\n \\param x     - X dimension\n \\param y     - Y dimension\n \\param z     - Z dimension\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetSharedSize,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSeti,\n ::cuParamSetf,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuFuncSetBlockShape(
        &self,
        hfunc: CUfunction,
        x: ::std::os::raw::c_int,
        y: ::std::os::raw::c_int,
        z: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuFuncSetBlockShape
            .as_ref()
            .expect("Expected function, got error."))(hfunc, x, y, z)
    }
    #[doc = " \\brief Sets the dynamic shared-memory size for the function\n\n \\deprecated\n\n Sets through \\p bytes the amount of dynamic shared memory that will be\n available to each thread block when the kernel given by \\p hfunc is launched.\n\n \\param hfunc - Kernel to specify dynamic shared-memory size for\n \\param bytes - Dynamic shared-memory size per thread in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetCacheConfig,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSeti,\n ::cuParamSetf,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuFuncSetSharedSize(
        &self,
        hfunc: CUfunction,
        bytes: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuFuncSetSharedSize
            .as_ref()
            .expect("Expected function, got error."))(hfunc, bytes)
    }
    #[doc = " \\brief Sets the parameter size for the function\n\n \\deprecated\n\n Sets through \\p numbytes the total size in bytes needed by the function\n parameters of the kernel corresponding to \\p hfunc.\n\n \\param hfunc    - Kernel to set parameter size for\n \\param numbytes - Size of parameter list in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetf,\n ::cuParamSeti,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuParamSetSize(
        &self,
        hfunc: CUfunction,
        numbytes: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuParamSetSize
            .as_ref()
            .expect("Expected function, got error."))(hfunc, numbytes)
    }
    #[doc = " \\brief Adds an integer parameter to the function's argument list\n\n \\deprecated\n\n Sets an integer parameter that will be specified the next time the\n kernel corresponding to \\p hfunc will be invoked. \\p offset is a byte offset.\n\n \\param hfunc  - Kernel to add parameter to\n \\param offset - Offset to add parameter to argument list\n \\param value  - Value of parameter\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSetf,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuParamSeti(
        &self,
        hfunc: CUfunction,
        offset: ::std::os::raw::c_int,
        value: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuParamSeti
            .as_ref()
            .expect("Expected function, got error."))(hfunc, offset, value)
    }
    #[doc = " \\brief Adds a floating-point parameter to the function's argument list\n\n \\deprecated\n\n Sets a floating-point parameter that will be specified the next time the\n kernel corresponding to \\p hfunc will be invoked. \\p offset is a byte offset.\n\n \\param hfunc  - Kernel to add parameter to\n \\param offset - Offset to add parameter to argument list\n \\param value  - Value of parameter\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSeti,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuParamSetf(
        &self,
        hfunc: CUfunction,
        offset: ::std::os::raw::c_int,
        value: f32,
    ) -> CUresult {
        (self
            .cuParamSetf
            .as_ref()
            .expect("Expected function, got error."))(hfunc, offset, value)
    }
    #[doc = " \\brief Adds arbitrary data to the function's argument list\n\n \\deprecated\n\n Copies an arbitrary amount of data (specified in \\p numbytes) from \\p ptr\n into the parameter space of the kernel corresponding to \\p hfunc. \\p offset\n is a byte offset.\n\n \\param hfunc    - Kernel to add data to\n \\param offset   - Offset to add data to argument list\n \\param ptr      - Pointer to arbitrary data\n \\param numbytes - Size of data to copy in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSetf,\n ::cuParamSeti,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuParamSetv(
        &self,
        hfunc: CUfunction,
        offset: ::std::os::raw::c_int,
        ptr: *mut ::std::os::raw::c_void,
        numbytes: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuParamSetv
            .as_ref()
            .expect("Expected function, got error."))(hfunc, offset, ptr, numbytes)
    }
    #[doc = " \\brief Launches a CUDA function\n\n \\deprecated\n\n Invokes the kernel \\p f on a 1 x 1 x 1 grid of blocks. The block\n contains the number of threads specified by a previous call to\n ::cuFuncSetBlockShape().\n\n The block shape, dynamic shared memory size, and parameter information\n must be set using\n  ::cuFuncSetBlockShape(),\n  ::cuFuncSetSharedSize(),\n  ::cuParamSetSize(),\n  ::cuParamSeti(),\n  ::cuParamSetf(), and\n  ::cuParamSetv()\n prior to calling this function.\n\n Launching a function via ::cuLaunchKernel() invalidates the function's\n block shape, dynamic shared memory size, and parameter information. After\n launching via cuLaunchKernel, this state must be re-initialized prior to\n calling this function. Failure to do so results in undefined behavior.\n\n \\param f - Kernel to launch\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSetf,\n ::cuParamSeti,\n ::cuParamSetv,\n ::cuLaunchGrid,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuLaunch(&self, f: CUfunction) -> CUresult {
        (self
            .cuLaunch
            .as_ref()
            .expect("Expected function, got error."))(f)
    }
    #[doc = " \\brief Launches a CUDA function\n\n \\deprecated\n\n Invokes the kernel \\p f on a \\p grid_width x \\p grid_height grid of\n blocks. Each block contains the number of threads specified by a previous\n call to ::cuFuncSetBlockShape().\n\n The block shape, dynamic shared memory size, and parameter information\n must be set using\n  ::cuFuncSetBlockShape(),\n  ::cuFuncSetSharedSize(),\n  ::cuParamSetSize(),\n  ::cuParamSeti(),\n  ::cuParamSetf(), and\n  ::cuParamSetv()\n prior to calling this function.\n\n Launching a function via ::cuLaunchKernel() invalidates the function's\n block shape, dynamic shared memory size, and parameter information. After\n launching via cuLaunchKernel, this state must be re-initialized prior to\n calling this function. Failure to do so results in undefined behavior.\n\n \\param f           - Kernel to launch\n \\param grid_width  - Width of grid in blocks\n \\param grid_height - Height of grid in blocks\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSetf,\n ::cuParamSeti,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGridAsync,\n ::cuLaunchKernel"]
    pub unsafe fn cuLaunchGrid(
        &self,
        f: CUfunction,
        grid_width: ::std::os::raw::c_int,
        grid_height: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuLaunchGrid
            .as_ref()
            .expect("Expected function, got error."))(f, grid_width, grid_height)
    }
    #[doc = " \\brief Launches a CUDA function\n\n \\deprecated\n\n Invokes the kernel \\p f on a \\p grid_width x \\p grid_height grid of\n blocks. Each block contains the number of threads specified by a previous\n call to ::cuFuncSetBlockShape().\n\n The block shape, dynamic shared memory size, and parameter information\n must be set using\n  ::cuFuncSetBlockShape(),\n  ::cuFuncSetSharedSize(),\n  ::cuParamSetSize(),\n  ::cuParamSeti(),\n  ::cuParamSetf(), and\n  ::cuParamSetv()\n prior to calling this function.\n\n Launching a function via ::cuLaunchKernel() invalidates the function's\n block shape, dynamic shared memory size, and parameter information. After\n launching via cuLaunchKernel, this state must be re-initialized prior to\n calling this function. Failure to do so results in undefined behavior.\n\n \\param f           - Kernel to launch\n \\param grid_width  - Width of grid in blocks\n \\param grid_height - Height of grid in blocks\n \\param hStream     - Stream identifier\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_LAUNCH_FAILED,\n ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,\n ::CUDA_ERROR_LAUNCH_TIMEOUT,\n ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,\n ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED\n\n \\note In certain cases where cubins are created with no ABI (i.e., using \\p ptxas \\p --abi-compile \\p no),\n       this function may serialize kernel launches. The CUDA driver retains asynchronous behavior by\n       growing the per-thread stack as needed per launch and not shrinking it afterwards.\n\n \\note_null_stream\n \\notefnerr\n\n \\sa ::cuFuncSetBlockShape,\n ::cuFuncSetSharedSize,\n ::cuFuncGetAttribute,\n ::cuParamSetSize,\n ::cuParamSetf,\n ::cuParamSeti,\n ::cuParamSetv,\n ::cuLaunch,\n ::cuLaunchGrid,\n ::cuLaunchKernel"]
    pub unsafe fn cuLaunchGridAsync(
        &self,
        f: CUfunction,
        grid_width: ::std::os::raw::c_int,
        grid_height: ::std::os::raw::c_int,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuLaunchGridAsync
            .as_ref()
            .expect("Expected function, got error."))(f, grid_width, grid_height, hStream)
    }
    #[doc = " \\brief Adds a texture-reference to the function's argument list\n\n \\deprecated\n\n Makes the CUDA array or linear memory bound to the texture reference\n \\p hTexRef available to a device program as a texture. In this version of\n CUDA, the texture-reference must be obtained via ::cuModuleGetTexRef() and\n the \\p texunit parameter must be set to ::CU_PARAM_TR_DEFAULT.\n\n \\param hfunc   - Kernel to add texture-reference to\n \\param texunit - Texture unit (must be ::CU_PARAM_TR_DEFAULT)\n \\param hTexRef - Texture-reference to add to argument list\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr"]
    pub unsafe fn cuParamSetTexRef(
        &self,
        hfunc: CUfunction,
        texunit: ::std::os::raw::c_int,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuParamSetTexRef
            .as_ref()
            .expect("Expected function, got error."))(hfunc, texunit, hTexRef)
    }
    #[doc = " \\brief Creates a graph\n\n Creates an empty graph, which is returned via \\p phGraph.\n\n \\param phGraph - Returns newly created graph\n \\param flags   - Graph creation flags, must be 0\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode,\n ::cuGraphInstantiate,\n ::cuGraphDestroy,\n ::cuGraphGetNodes,\n ::cuGraphGetRootNodes,\n ::cuGraphGetEdges,\n ::cuGraphClone"]
    pub unsafe fn cuGraphCreate(
        &self,
        phGraph: *mut CUgraph,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphCreate
            .as_ref()
            .expect("Expected function, got error."))(phGraph, flags)
    }
    pub unsafe fn cuGraphAddKernelNode_v2(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddKernelNode_v2
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    pub unsafe fn cuGraphKernelNodeGetParams_v2(
        &self,
        hNode: CUgraphNode,
        nodeParams: *mut CUDA_KERNEL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphKernelNodeGetParams_v2
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    pub unsafe fn cuGraphKernelNodeSetParams_v2(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphKernelNodeSetParams_v2
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates a memcpy node and adds it to a graph\n\n Creates a new memcpy node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n When the graph is launched, the node will perform the memcpy described by \\p copyParams.\n See ::cuMemcpy3D() for a description of the structure and its restrictions.\n\n Memcpy nodes have some additional restrictions with regards to managed memory, if the\n system contains at least one device which has a zero value for the device attribute\n ::CU_DEVICE_ATTRIBUTE_CONCURRENT_MANAGED_ACCESS. If one or more of the operands refer\n to managed memory, then using the memory type ::CU_MEMORYTYPE_UNIFIED is disallowed\n for those operand(s). The managed memory will be treated as residing on either the\n host or the device, depending on which memory type is specified.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param copyParams      - Parameters for the memory copy\n \\param ctx             - Context on which to run the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemcpy3D,\n ::cuGraphMemcpyNodeGetParams,\n ::cuGraphMemcpyNodeSetParams,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddMemcpyNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        copyParams: *const CUDA_MEMCPY3D,
        ctx: CUcontext,
    ) -> CUresult {
        (self
            .cuGraphAddMemcpyNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            copyParams,
            ctx,
        )
    }
    #[doc = " \\brief Returns a memcpy node's parameters\n\n Returns the parameters of memcpy node \\p hNode in \\p nodeParams.\n\n \\param hNode      - Node to get the parameters for\n \\param nodeParams - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemcpy3D,\n ::cuGraphAddMemcpyNode,\n ::cuGraphMemcpyNodeSetParams"]
    pub unsafe fn cuGraphMemcpyNodeGetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *mut CUDA_MEMCPY3D,
    ) -> CUresult {
        (self
            .cuGraphMemcpyNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Sets a memcpy node's parameters\n\n Sets the parameters of memcpy node \\p hNode to \\p nodeParams.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemcpy3D,\n ::cuGraphAddMemcpyNode,\n ::cuGraphMemcpyNodeGetParams"]
    pub unsafe fn cuGraphMemcpyNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_MEMCPY3D,
    ) -> CUresult {
        (self
            .cuGraphMemcpyNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates a memset node and adds it to a graph\n\n Creates a new memset node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n The element size must be 1, 2, or 4 bytes.\n When the graph is launched, the node will perform the memset described by \\p memsetParams.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param memsetParams    - Parameters for the memory set\n \\param ctx             - Context on which to run the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_CONTEXT\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemsetD2D32,\n ::cuGraphMemsetNodeGetParams,\n ::cuGraphMemsetNodeSetParams,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemcpyNode"]
    pub unsafe fn cuGraphAddMemsetNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        memsetParams: *const CUDA_MEMSET_NODE_PARAMS,
        ctx: CUcontext,
    ) -> CUresult {
        (self
            .cuGraphAddMemsetNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            memsetParams,
            ctx,
        )
    }
    #[doc = " \\brief Returns a memset node's parameters\n\n Returns the parameters of memset node \\p hNode in \\p nodeParams.\n\n \\param hNode      - Node to get the parameters for\n \\param nodeParams - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemsetD2D32,\n ::cuGraphAddMemsetNode,\n ::cuGraphMemsetNodeSetParams"]
    pub unsafe fn cuGraphMemsetNodeGetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *mut CUDA_MEMSET_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphMemsetNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Sets a memset node's parameters\n\n Sets the parameters of memset node \\p hNode to \\p nodeParams.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuMemsetD2D32,\n ::cuGraphAddMemsetNode,\n ::cuGraphMemsetNodeGetParams"]
    pub unsafe fn cuGraphMemsetNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_MEMSET_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphMemsetNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates a host execution node and adds it to a graph\n\n Creates a new CPU execution node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and arguments specified in \\p nodeParams.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n When the graph is launched, the node will invoke the specified CPU function.\n Host nodes are not supported under MPS with pre-Volta GPUs.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param nodeParams      - Parameters for the host node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuLaunchHostFunc,\n ::cuGraphHostNodeGetParams,\n ::cuGraphHostNodeSetParams,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddHostNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *const CUDA_HOST_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddHostNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    #[doc = " \\brief Returns a host node's parameters\n\n Returns the parameters of host node \\p hNode in \\p nodeParams.\n\n \\param hNode      - Node to get the parameters for\n \\param nodeParams - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuLaunchHostFunc,\n ::cuGraphAddHostNode,\n ::cuGraphHostNodeSetParams"]
    pub unsafe fn cuGraphHostNodeGetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *mut CUDA_HOST_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphHostNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Sets a host node's parameters\n\n Sets the parameters of host node \\p hNode to \\p nodeParams.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuLaunchHostFunc,\n ::cuGraphAddHostNode,\n ::cuGraphHostNodeGetParams"]
    pub unsafe fn cuGraphHostNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_HOST_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphHostNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates a child graph node and adds it to a graph\n\n Creates a new node which executes an embedded graph, and adds it to \\p hGraph with\n \\p numDependencies dependencies specified via \\p dependencies.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n If \\p hGraph contains allocation or free nodes, this call will return an error.\n\n The node executes an embedded child graph. The child graph is cloned in this call.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param childGraph      - The graph to clone into this node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphChildGraphNodeGetGraph,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode,\n ::cuGraphClone"]
    pub unsafe fn cuGraphAddChildGraphNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        childGraph: CUgraph,
    ) -> CUresult {
        (self
            .cuGraphAddChildGraphNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            childGraph,
        )
    }
    #[doc = " \\brief Gets a handle to the embedded graph of a child graph node\n\n Gets a handle to the embedded graph in a child graph node. This call\n does not clone the graph. Changes to the graph will be reflected in\n the node, and the node retains ownership of the graph.\n\n Allocation and free nodes cannot be added to the returned graph.\n Attempting to do so will return an error.\n\n \\param hNode   - Node to get the embedded graph for\n \\param phGraph - Location to store a handle to the graph\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddChildGraphNode,\n ::cuGraphNodeFindInClone"]
    pub unsafe fn cuGraphChildGraphNodeGetGraph(
        &self,
        hNode: CUgraphNode,
        phGraph: *mut CUgraph,
    ) -> CUresult {
        (self
            .cuGraphChildGraphNodeGetGraph
            .as_ref()
            .expect("Expected function, got error."))(hNode, phGraph)
    }
    #[doc = " \\brief Creates an empty node and adds it to a graph\n\n Creates a new node which performs no operation, and adds it to \\p hGraph with\n \\p numDependencies dependencies specified via \\p dependencies.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n An empty node performs no operation during execution, but can be used for\n transitive ordering. For example, a phased execution graph with 2 groups of n\n nodes with a barrier between them can be represented using an empty node and\n 2*n dependency edges, rather than no empty node and n^2 dependency edges.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddEmptyNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
    ) -> CUresult {
        (self
            .cuGraphAddEmptyNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
        )
    }
    #[doc = " \\brief Creates an event record node and adds it to a graph\n\n Creates a new event record node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and event specified in \\p event.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n Each launch of the graph will record \\p event to capture execution of the\n node's dependencies.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param event           - Event for the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventWaitNode,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddEventRecordNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphAddEventRecordNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            event,
        )
    }
    #[doc = " \\brief Returns the event associated with an event record node\n\n Returns the event of event record node \\p hNode in \\p event_out.\n\n \\param hNode     - Node to get the event for\n \\param event_out - Pointer to return the event\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventRecordNode,\n ::cuGraphEventRecordNodeSetEvent,\n ::cuGraphEventWaitNodeGetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent"]
    pub unsafe fn cuGraphEventRecordNodeGetEvent(
        &self,
        hNode: CUgraphNode,
        event_out: *mut CUevent,
    ) -> CUresult {
        (self
            .cuGraphEventRecordNodeGetEvent
            .as_ref()
            .expect("Expected function, got error."))(hNode, event_out)
    }
    #[doc = " \\brief Sets an event record node's event\n\n Sets the event of event record node \\p hNode to \\p event.\n\n \\param hNode - Node to set the event for\n \\param event - Event to use\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventRecordNode,\n ::cuGraphEventRecordNodeGetEvent,\n ::cuGraphEventWaitNodeSetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent"]
    pub unsafe fn cuGraphEventRecordNodeSetEvent(
        &self,
        hNode: CUgraphNode,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphEventRecordNodeSetEvent
            .as_ref()
            .expect("Expected function, got error."))(hNode, event)
    }
    #[doc = " \\brief Creates an event wait node and adds it to a graph\n\n Creates a new event wait node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and event specified in \\p event.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n The graph node will wait for all work captured in \\p event.  See ::cuEventRecord()\n for details on what is captured by an event. \\p event may be from a different context\n or device than the launch stream.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param event           - Event for the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventRecordNode,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddEventWaitNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphAddEventWaitNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            event,
        )
    }
    #[doc = " \\brief Returns the event associated with an event wait node\n\n Returns the event of event wait node \\p hNode in \\p event_out.\n\n \\param hNode     - Node to get the event for\n \\param event_out - Pointer to return the event\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventWaitNode,\n ::cuGraphEventWaitNodeSetEvent,\n ::cuGraphEventRecordNodeGetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent"]
    pub unsafe fn cuGraphEventWaitNodeGetEvent(
        &self,
        hNode: CUgraphNode,
        event_out: *mut CUevent,
    ) -> CUresult {
        (self
            .cuGraphEventWaitNodeGetEvent
            .as_ref()
            .expect("Expected function, got error."))(hNode, event_out)
    }
    #[doc = " \\brief Sets an event wait node's event\n\n Sets the event of event wait node \\p hNode to \\p event.\n\n \\param hNode - Node to set the event for\n \\param event - Event to use\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventWaitNode,\n ::cuGraphEventWaitNodeGetEvent,\n ::cuGraphEventRecordNodeSetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent"]
    pub unsafe fn cuGraphEventWaitNodeSetEvent(
        &self,
        hNode: CUgraphNode,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphEventWaitNodeSetEvent
            .as_ref()
            .expect("Expected function, got error."))(hNode, event)
    }
    #[doc = " \\brief Creates an external semaphore signal node and adds it to a graph\n\n Creates a new external semaphore signal node and adds it to \\p hGraph with \\p\n numDependencies dependencies specified via \\p dependencies and arguments specified\n in \\p nodeParams. It is possible for \\p numDependencies to be 0, in which case the\n node will be placed at the root of the graph. \\p dependencies may not have any\n duplicate entries. A handle to the new node will be returned in \\p phGraphNode.\n\n Performs a signal operation on a set of externally allocated semaphore objects\n when the node is launched.  The operation(s) will occur after all of the node's\n dependencies have completed.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param nodeParams      - Parameters for the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphExternalSemaphoresSignalNodeGetParams,\n ::cuGraphExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuImportExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddEventRecordNode,\n ::cuGraphAddEventWaitNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddExternalSemaphoresSignalNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddExternalSemaphoresSignalNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    #[doc = " \\brief Returns an external semaphore signal node's parameters\n\n Returns the parameters of an external semaphore signal node \\p hNode in \\p params_out.\n The \\p extSemArray and \\p paramsArray returned in \\p params_out,\n are owned by the node.  This memory remains valid until the node is destroyed or its\n parameters are modified, and should not be modified\n directly. Use ::cuGraphExternalSemaphoresSignalNodeSetParams to update the\n parameters of this node.\n\n \\param hNode      - Node to get the parameters for\n \\param params_out - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuLaunchKernel,\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuGraphExternalSemaphoresSignalNodeSetParams,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuGraphExternalSemaphoresSignalNodeGetParams(
        &self,
        hNode: CUgraphNode,
        params_out: *mut CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExternalSemaphoresSignalNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, params_out)
    }
    #[doc = " \\brief Sets an external semaphore signal node's parameters\n\n Sets the parameters of an external semaphore signal node \\p hNode to \\p nodeParams.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuGraphExternalSemaphoresSignalNodeSetParams,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuGraphExternalSemaphoresSignalNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExternalSemaphoresSignalNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates an external semaphore wait node and adds it to a graph\n\n Creates a new external semaphore wait node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and arguments specified in \\p nodeParams.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries. A handle\n to the new node will be returned in \\p phGraphNode.\n\n Performs a wait operation on a set of externally allocated semaphore objects\n when the node is launched.  The node's dependencies will not be launched until\n the wait operation has completed.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param nodeParams      - Parameters for the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphExternalSemaphoresWaitNodeGetParams,\n ::cuGraphExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuImportExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddEventRecordNode,\n ::cuGraphAddEventWaitNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddExternalSemaphoresWaitNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddExternalSemaphoresWaitNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    #[doc = " \\brief Returns an external semaphore wait node's parameters\n\n Returns the parameters of an external semaphore wait node \\p hNode in \\p params_out.\n The \\p extSemArray and \\p paramsArray returned in \\p params_out,\n are owned by the node.  This memory remains valid until the node is destroyed or its\n parameters are modified, and should not be modified\n directly. Use ::cuGraphExternalSemaphoresSignalNodeSetParams to update the\n parameters of this node.\n\n \\param hNode      - Node to get the parameters for\n \\param params_out - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuLaunchKernel,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuGraphExternalSemaphoresWaitNodeSetParams,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuGraphExternalSemaphoresWaitNodeGetParams(
        &self,
        hNode: CUgraphNode,
        params_out: *mut CUDA_EXT_SEM_WAIT_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExternalSemaphoresWaitNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, params_out)
    }
    #[doc = " \\brief Sets an external semaphore wait node's parameters\n\n Sets the parameters of an external semaphore wait node \\p hNode to \\p nodeParams.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuGraphExternalSemaphoresWaitNodeSetParams,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync"]
    pub unsafe fn cuGraphExternalSemaphoresWaitNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExternalSemaphoresWaitNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Creates a batch memory operation node and adds it to a graph\n\n Creates a new batch memory operation node and adds it to \\p hGraph with \\p\n numDependencies dependencies specified via \\p dependencies and arguments specified in \\p nodeParams.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries.\n A handle to the new node will be returned in \\p phGraphNode.\n\n When the node is added, the paramArray inside \\p nodeParams is copied and therefore it can be\n freed after the call returns.\n\n \\note\n Warning:\n Improper use of this API may deadlock the application. Synchronization\n ordering established through this API is not visible to CUDA. CUDA tasks\n that are (even indirectly) ordered by this API should also have that order\n expressed with CUDA-visible dependencies such as events. This ensures that\n the scheduler does not serialize them in an improper order. For more\n information, see the Stream Memory Operations section in the programming\n guide(https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html).\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param nodeParams      - Parameters for the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuStreamBatchMemOp,\n ::cuStreamWaitValue32,\n ::cuStreamWriteValue32,\n ::cuStreamWaitValue64,\n ::cuStreamWriteValue64,\n ::cuGraphBatchMemOpNodeGetParams,\n ::cuGraphBatchMemOpNodeSetParams,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddBatchMemOpNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddBatchMemOpNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    #[doc = " \\brief Returns a batch mem op node's parameters\n\n Returns the parameters of batch mem op node \\p hNode in \\p nodeParams_out.\n The \\p paramArray returned in \\p nodeParams_out is owned by the node.\n This memory remains valid until the node is destroyed or its\n parameters are modified, and should not be modified\n directly. Use ::cuGraphBatchMemOpNodeSetParams to update the\n parameters of this node.\n\n \\param hNode          - Node to get the parameters for\n \\param nodeParams_out - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuStreamBatchMemOp,\n ::cuGraphAddBatchMemOpNode,\n ::cuGraphBatchMemOpNodeSetParams"]
    pub unsafe fn cuGraphBatchMemOpNodeGetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams_out: *mut CUDA_BATCH_MEM_OP_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphBatchMemOpNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams_out)
    }
    #[doc = " \\brief Sets a batch mem op node's parameters\n\n Sets the parameters of batch mem op node \\p hNode to \\p nodeParams.\n\n The paramArray inside \\p nodeParams is copied and therefore it can be\n freed after the call returns.\n\n \\param hNode      - Node to set the parameters for\n \\param nodeParams - Parameters to copy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuStreamBatchMemOp,\n ::cuGraphAddBatchMemOpNode,\n ::cuGraphBatchMemOpNodeGetParams"]
    pub unsafe fn cuGraphBatchMemOpNodeSetParams(
        &self,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphBatchMemOpNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, nodeParams)
    }
    #[doc = " \\brief Sets the parameters for a batch mem op node in the given graphExec\n\n Sets the parameters of a batch mem op node in an executable graph \\p hGraphExec.\n The node is identified by the corresponding node \\p hNode in the\n non-executable graph, from which the executable graph was instantiated.\n\n The following fields on operations may be modified on an executable graph:\n\n  op.waitValue.address\n  op.waitValue.value[64]\n  op.waitValue.flags bits corresponding to wait type (i.e. CU_STREAM_WAIT_VALUE_FLUSH bit cannot be modified)\n  op.writeValue.address\n  op.writeValue.value[64]\n\n Other fields, such as the context, count or type of operations, and other types of operations such as membars,\n may not be modified.\n\n \\p hNode must not have been removed from the original graph.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n The paramArray inside \\p nodeParams is copied and therefore it can be\n freed after the call returns.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Batch mem op node from the graph from which graphExec was instantiated\n \\param nodeParams - Updated Parameters to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuStreamBatchMemOp,\n ::cuGraphAddBatchMemOpNode,\n ::cuGraphBatchMemOpNodeGetParams,\n ::cuGraphBatchMemOpNodeSetParams,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecBatchMemOpNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_BATCH_MEM_OP_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExecBatchMemOpNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, nodeParams)
    }
    #[doc = " \\brief Creates an allocation node and adds it to a graph\n\n Creates a new allocation node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and arguments specified in \\p nodeParams.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries. A handle\n to the new node will be returned in \\p phGraphNode.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param nodeParams      - Parameters for the node\n\n When ::cuGraphAddMemAllocNode creates an allocation node, it returns the address of the allocation in\n \\p nodeParams.dptr.  The allocation's address remains fixed across instantiations and launches.\n\n If the allocation is freed in the same graph, by creating a free node using ::cuGraphAddMemFreeNode,\n the allocation can be accessed by nodes ordered after the allocation node but before the free node.\n These allocations cannot be freed outside the owning graph, and they can only be freed once in the\n owning graph.\n\n If the allocation is not freed in the same graph, then it can be accessed not only by nodes in the\n graph which are ordered after the allocation node, but also by stream operations ordered after the\n graph's execution but before the allocation is freed.\n\n Allocations which are not freed in the same graph can be freed by:\n - passing the allocation to ::cuMemFreeAsync or ::cuMemFree;\n - launching a graph with a free node for that allocation; or\n - specifying ::CUDA_GRAPH_INSTANTIATE_FLAG_AUTO_FREE_ON_LAUNCH during instantiation, which makes\n each launch behave as though it called ::cuMemFreeAsync for every unfreed allocation.\n\n It is not possible to free an allocation in both the owning graph and another graph.  If the allocation\n is freed in the same graph, a free node cannot be added to another graph.  If the allocation is freed\n in another graph, a free node can no longer be added to the owning graph.\n\n The following restrictions apply to graphs which contain allocation and/or memory free nodes:\n - Nodes and edges of the graph cannot be deleted.\n - The graph cannot be used in a child node.\n - Only one instantiation of the graph may exist at any point in time.\n - The graph cannot be cloned.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemFreeNode,\n ::cuGraphMemAllocNodeGetParams,\n ::cuDeviceGraphMemTrim,\n ::cuDeviceGetGraphMemAttribute,\n ::cuDeviceSetGraphMemAttribute,\n ::cuMemAllocAsync,\n ::cuMemFreeAsync,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddEventRecordNode,\n ::cuGraphAddEventWaitNode,\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddMemAllocNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        nodeParams: *mut CUDA_MEM_ALLOC_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphAddMemAllocNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            nodeParams,
        )
    }
    #[doc = " \\brief Returns a memory alloc node's parameters\n\n Returns the parameters of a memory alloc node \\p hNode in \\p params_out.\n The \\p poolProps and \\p accessDescs returned in \\p params_out, are owned by the\n node.  This memory remains valid until the node is destroyed.  The returned\n parameters must not be modified.\n\n \\param hNode      - Node to get the parameters for\n \\param params_out - Pointer to return the parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemAllocNode,\n ::cuGraphMemFreeNodeGetParams"]
    pub unsafe fn cuGraphMemAllocNodeGetParams(
        &self,
        hNode: CUgraphNode,
        params_out: *mut CUDA_MEM_ALLOC_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphMemAllocNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, params_out)
    }
    #[doc = " \\brief Creates a memory free node and adds it to a graph\n\n Creates a new memory free node and adds it to \\p hGraph with \\p numDependencies\n dependencies specified via \\p dependencies and arguments specified in \\p nodeParams.\n It is possible for \\p numDependencies to be 0, in which case the node will be placed\n at the root of the graph. \\p dependencies may not have any duplicate entries. A handle\n to the new node will be returned in \\p phGraphNode.\n\n \\param phGraphNode     - Returns newly created node\n \\param hGraph          - Graph to which to add the node\n \\param dependencies    - Dependencies of the node\n \\param numDependencies - Number of dependencies\n \\param dptr            - Address of memory to free\n\n ::cuGraphAddMemFreeNode will return ::CUDA_ERROR_INVALID_VALUE if the user attempts to free:\n - an allocation twice in the same graph.\n - an address that was not returned by an allocation node.\n - an invalid address.\n\n The following restrictions apply to graphs which contain allocation and/or memory free nodes:\n - Nodes and edges of the graph cannot be deleted.\n - The graph cannot be used in a child node.\n - Only one instantiation of the graph may exist at any point in time.\n - The graph cannot be cloned.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_NOT_SUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemAllocNode,\n ::cuGraphMemFreeNodeGetParams,\n ::cuDeviceGraphMemTrim,\n ::cuDeviceGetGraphMemAttribute,\n ::cuDeviceSetGraphMemAttribute,\n ::cuMemAllocAsync,\n ::cuMemFreeAsync,\n ::cuGraphCreate,\n ::cuGraphDestroyNode,\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddEventRecordNode,\n ::cuGraphAddEventWaitNode,\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphAddMemFreeNode(
        &self,
        phGraphNode: *mut CUgraphNode,
        hGraph: CUgraph,
        dependencies: *const CUgraphNode,
        numDependencies: usize,
        dptr: CUdeviceptr,
    ) -> CUresult {
        (self
            .cuGraphAddMemFreeNode
            .as_ref()
            .expect("Expected function, got error."))(
            phGraphNode,
            hGraph,
            dependencies,
            numDependencies,
            dptr,
        )
    }
    #[doc = " \\brief Returns a memory free node's parameters\n\n Returns the address of a memory free node \\p hNode in \\p dptr_out.\n\n \\param hNode    - Node to get the parameters for\n \\param dptr_out - Pointer to return the device address\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemFreeNode,\n ::cuGraphMemAllocNodeGetParams"]
    pub unsafe fn cuGraphMemFreeNodeGetParams(
        &self,
        hNode: CUgraphNode,
        dptr_out: *mut CUdeviceptr,
    ) -> CUresult {
        (self
            .cuGraphMemFreeNodeGetParams
            .as_ref()
            .expect("Expected function, got error."))(hNode, dptr_out)
    }
    #[doc = " \\brief Free unused memory that was cached on the specified device for use with graphs back to the OS.\n\n Blocks which are not in use by a graph that is either currently executing or scheduled to execute are\n freed back to the operating system.\n\n \\param device - The device for which cached memory should be freed.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_DEVICE\n\n \\sa\n ::cuGraphAddMemAllocNode,\n ::cuGraphAddMemFreeNode,\n ::cuDeviceSetGraphMemAttribute,\n ::cuDeviceGetGraphMemAttribute"]
    pub unsafe fn cuDeviceGraphMemTrim(&self, device: CUdevice) -> CUresult {
        (self
            .cuDeviceGraphMemTrim
            .as_ref()
            .expect("Expected function, got error."))(device)
    }
    #[doc = " \\brief Query asynchronous allocation attributes related to graphs\n\n Valid attributes are:\n\n - ::CU_GRAPH_MEM_ATTR_USED_MEM_CURRENT: Amount of memory, in bytes, currently associated with graphs\n - ::CU_GRAPH_MEM_ATTR_USED_MEM_HIGH: High watermark of memory, in bytes, associated with graphs since the\n   last time it was reset.  High watermark can only be reset to zero.\n - ::CU_GRAPH_MEM_ATTR_RESERVED_MEM_CURRENT: Amount of memory, in bytes, currently allocated for use by\n   the CUDA graphs asynchronous allocator.\n - ::CU_GRAPH_MEM_ATTR_RESERVED_MEM_HIGH: High watermark of memory, in bytes, currently allocated for use by\n   the CUDA graphs asynchronous allocator.\n\n \\param device - Specifies the scope of the query\n \\param attr - attribute to get\n \\param value - retrieved value\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_DEVICE\n\n \\sa\n ::cuDeviceSetGraphMemAttribute,\n ::cuGraphAddMemAllocNode,\n ::cuGraphAddMemFreeNode"]
    pub unsafe fn cuDeviceGetGraphMemAttribute(
        &self,
        device: CUdevice,
        attr: CUgraphMem_attribute,
        value: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuDeviceGetGraphMemAttribute
            .as_ref()
            .expect("Expected function, got error."))(device, attr, value)
    }
    #[doc = " \\brief Set asynchronous allocation attributes related to graphs\n\n Valid attributes are:\n\n - ::CU_GRAPH_MEM_ATTR_USED_MEM_HIGH: High watermark of memory, in bytes, associated with graphs since the\n   last time it was reset.  High watermark can only be reset to zero.\n - ::CU_GRAPH_MEM_ATTR_RESERVED_MEM_HIGH: High watermark of memory, in bytes, currently allocated for use by\n   the CUDA graphs asynchronous allocator.\n\n \\param device - Specifies the scope of the query\n \\param attr - attribute to get\n \\param value - pointer to value to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_DEVICE\n\n \\sa\n ::cuDeviceGetGraphMemAttribute,\n ::cuGraphAddMemAllocNode,\n ::cuGraphAddMemFreeNode"]
    pub unsafe fn cuDeviceSetGraphMemAttribute(
        &self,
        device: CUdevice,
        attr: CUgraphMem_attribute,
        value: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuDeviceSetGraphMemAttribute
            .as_ref()
            .expect("Expected function, got error."))(device, attr, value)
    }
    #[doc = " \\brief Clones a graph\n\n This function creates a copy of \\p originalGraph and returns it in \\p phGraphClone.\n All parameters are copied into the cloned graph. The original graph may be modified\n after this call without affecting the clone.\n\n Child graph nodes in the original graph are recursively copied into the clone.\n\n \\param phGraphClone  - Returns newly created cloned graph\n \\param originalGraph - Graph to clone\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OUT_OF_MEMORY\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate,\n ::cuGraphNodeFindInClone"]
    pub unsafe fn cuGraphClone(
        &self,
        phGraphClone: *mut CUgraph,
        originalGraph: CUgraph,
    ) -> CUresult {
        (self
            .cuGraphClone
            .as_ref()
            .expect("Expected function, got error."))(phGraphClone, originalGraph)
    }
    #[doc = " \\brief Finds a cloned version of a node\n\n This function returns the node in \\p hClonedGraph corresponding to \\p hOriginalNode\n in the original graph.\n\n \\p hClonedGraph must have been cloned from \\p hOriginalGraph via ::cuGraphClone.\n \\p hOriginalNode must have been in \\p hOriginalGraph at the time of the call to\n ::cuGraphClone, and the corresponding cloned node in \\p hClonedGraph must not have\n been removed. The cloned node is then returned via \\p phClonedNode.\n\n \\param phNode  - Returns handle to the cloned node\n \\param hOriginalNode - Handle to the original node\n \\param hClonedGraph - Cloned graph to query\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphClone"]
    pub unsafe fn cuGraphNodeFindInClone(
        &self,
        phNode: *mut CUgraphNode,
        hOriginalNode: CUgraphNode,
        hClonedGraph: CUgraph,
    ) -> CUresult {
        (self
            .cuGraphNodeFindInClone
            .as_ref()
            .expect("Expected function, got error."))(phNode, hOriginalNode, hClonedGraph)
    }
    #[doc = " \\brief Returns a node's type\n\n Returns the node type of \\p hNode in \\p type.\n\n \\param hNode - Node to query\n \\param type  - Pointer to return the node type\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphGetNodes,\n ::cuGraphGetRootNodes,\n ::cuGraphChildGraphNodeGetGraph,\n ::cuGraphKernelNodeGetParams,\n ::cuGraphKernelNodeSetParams,\n ::cuGraphHostNodeGetParams,\n ::cuGraphHostNodeSetParams,\n ::cuGraphMemcpyNodeGetParams,\n ::cuGraphMemcpyNodeSetParams,\n ::cuGraphMemsetNodeGetParams,\n ::cuGraphMemsetNodeSetParams"]
    pub unsafe fn cuGraphNodeGetType(
        &self,
        hNode: CUgraphNode,
        type_: *mut CUgraphNodeType,
    ) -> CUresult {
        (self
            .cuGraphNodeGetType
            .as_ref()
            .expect("Expected function, got error."))(hNode, type_)
    }
    #[doc = " \\brief Returns a graph's nodes\n\n Returns a list of \\p hGraph's nodes. \\p nodes may be NULL, in which case this\n function will return the number of nodes in \\p numNodes. Otherwise,\n \\p numNodes entries will be filled in. If \\p numNodes is higher than the actual\n number of nodes, the remaining entries in \\p nodes will be set to NULL, and the\n number of nodes actually obtained will be returned in \\p numNodes.\n\n \\param hGraph   - Graph to query\n \\param nodes    - Pointer to return the nodes\n \\param numNodes - See description\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate,\n ::cuGraphGetRootNodes,\n ::cuGraphGetEdges,\n ::cuGraphNodeGetType,\n ::cuGraphNodeGetDependencies,\n ::cuGraphNodeGetDependentNodes"]
    pub unsafe fn cuGraphGetNodes(
        &self,
        hGraph: CUgraph,
        nodes: *mut CUgraphNode,
        numNodes: *mut usize,
    ) -> CUresult {
        (self
            .cuGraphGetNodes
            .as_ref()
            .expect("Expected function, got error."))(hGraph, nodes, numNodes)
    }
    #[doc = " \\brief Returns a graph's root nodes\n\n Returns a list of \\p hGraph's root nodes. \\p rootNodes may be NULL, in which case this\n function will return the number of root nodes in \\p numRootNodes. Otherwise,\n \\p numRootNodes entries will be filled in. If \\p numRootNodes is higher than the actual\n number of root nodes, the remaining entries in \\p rootNodes will be set to NULL, and the\n number of nodes actually obtained will be returned in \\p numRootNodes.\n\n \\param hGraph       - Graph to query\n \\param rootNodes    - Pointer to return the root nodes\n \\param numRootNodes - See description\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate,\n ::cuGraphGetNodes,\n ::cuGraphGetEdges,\n ::cuGraphNodeGetType,\n ::cuGraphNodeGetDependencies,\n ::cuGraphNodeGetDependentNodes"]
    pub unsafe fn cuGraphGetRootNodes(
        &self,
        hGraph: CUgraph,
        rootNodes: *mut CUgraphNode,
        numRootNodes: *mut usize,
    ) -> CUresult {
        (self
            .cuGraphGetRootNodes
            .as_ref()
            .expect("Expected function, got error."))(hGraph, rootNodes, numRootNodes)
    }
    #[doc = " \\brief Returns a graph's dependency edges\n\n Returns a list of \\p hGraph's dependency edges. Edges are returned via corresponding\n indices in \\p from and \\p to; that is, the node in \\p to[i] has a dependency on the\n node in \\p from[i]. \\p from and \\p to may both be NULL, in which\n case this function only returns the number of edges in \\p numEdges. Otherwise,\n \\p numEdges entries will be filled in. If \\p numEdges is higher than the actual\n number of edges, the remaining entries in \\p from and \\p to will be set to NULL, and\n the number of edges actually returned will be written to \\p numEdges.\n\n \\param hGraph   - Graph to get the edges from\n \\param from     - Location to return edge endpoints\n \\param to       - Location to return edge endpoints\n \\param numEdges - See description\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphGetNodes,\n ::cuGraphGetRootNodes,\n ::cuGraphAddDependencies,\n ::cuGraphRemoveDependencies,\n ::cuGraphNodeGetDependencies,\n ::cuGraphNodeGetDependentNodes"]
    pub unsafe fn cuGraphGetEdges(
        &self,
        hGraph: CUgraph,
        from: *mut CUgraphNode,
        to: *mut CUgraphNode,
        numEdges: *mut usize,
    ) -> CUresult {
        (self
            .cuGraphGetEdges
            .as_ref()
            .expect("Expected function, got error."))(hGraph, from, to, numEdges)
    }
    #[doc = " \\brief Returns a node's dependencies\n\n Returns a list of \\p node's dependencies. \\p dependencies may be NULL, in which case this\n function will return the number of dependencies in \\p numDependencies. Otherwise,\n \\p numDependencies entries will be filled in. If \\p numDependencies is higher than the actual\n number of dependencies, the remaining entries in \\p dependencies will be set to NULL, and the\n number of nodes actually obtained will be returned in \\p numDependencies.\n\n \\param hNode           - Node to query\n \\param dependencies    - Pointer to return the dependencies\n \\param numDependencies - See description\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphNodeGetDependentNodes,\n ::cuGraphGetNodes,\n ::cuGraphGetRootNodes,\n ::cuGraphGetEdges,\n ::cuGraphAddDependencies,\n ::cuGraphRemoveDependencies"]
    pub unsafe fn cuGraphNodeGetDependencies(
        &self,
        hNode: CUgraphNode,
        dependencies: *mut CUgraphNode,
        numDependencies: *mut usize,
    ) -> CUresult {
        (self
            .cuGraphNodeGetDependencies
            .as_ref()
            .expect("Expected function, got error."))(hNode, dependencies, numDependencies)
    }
    #[doc = " \\brief Returns a node's dependent nodes\n\n Returns a list of \\p node's dependent nodes. \\p dependentNodes may be NULL, in which\n case this function will return the number of dependent nodes in \\p numDependentNodes.\n Otherwise, \\p numDependentNodes entries will be filled in. If \\p numDependentNodes is\n higher than the actual number of dependent nodes, the remaining entries in\n \\p dependentNodes will be set to NULL, and the number of nodes actually obtained will\n be returned in \\p numDependentNodes.\n\n \\param hNode             - Node to query\n \\param dependentNodes    - Pointer to return the dependent nodes\n \\param numDependentNodes - See description\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphNodeGetDependencies,\n ::cuGraphGetNodes,\n ::cuGraphGetRootNodes,\n ::cuGraphGetEdges,\n ::cuGraphAddDependencies,\n ::cuGraphRemoveDependencies"]
    pub unsafe fn cuGraphNodeGetDependentNodes(
        &self,
        hNode: CUgraphNode,
        dependentNodes: *mut CUgraphNode,
        numDependentNodes: *mut usize,
    ) -> CUresult {
        (self
            .cuGraphNodeGetDependentNodes
            .as_ref()
            .expect("Expected function, got error."))(
            hNode, dependentNodes, numDependentNodes
        )
    }
    #[doc = " \\brief Adds dependency edges to a graph\n\n The number of dependencies to be added is defined by \\p numDependencies\n Elements in \\p from and \\p to at corresponding indices define a dependency.\n Each node in \\p from and \\p to must belong to \\p hGraph.\n\n If \\p numDependencies is 0, elements in \\p from and \\p to will be ignored.\n Specifying an existing dependency will return an error.\n\n \\param hGraph - Graph to which dependencies are added\n \\param from - Array of nodes that provide the dependencies\n \\param to - Array of dependent nodes\n \\param numDependencies - Number of dependencies to be added\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphRemoveDependencies,\n ::cuGraphGetEdges,\n ::cuGraphNodeGetDependencies,\n ::cuGraphNodeGetDependentNodes"]
    pub unsafe fn cuGraphAddDependencies(
        &self,
        hGraph: CUgraph,
        from: *const CUgraphNode,
        to: *const CUgraphNode,
        numDependencies: usize,
    ) -> CUresult {
        (self
            .cuGraphAddDependencies
            .as_ref()
            .expect("Expected function, got error."))(hGraph, from, to, numDependencies)
    }
    #[doc = " \\brief Removes dependency edges from a graph\n\n The number of \\p dependencies to be removed is defined by \\p numDependencies.\n Elements in \\p from and \\p to at corresponding indices define a dependency.\n Each node in \\p from and \\p to must belong to \\p hGraph.\n\n If \\p numDependencies is 0, elements in \\p from and \\p to will be ignored.\n Specifying a non-existing dependency will return an error.\n\n Dependencies cannot be removed from graphs which contain allocation or free nodes.\n Any attempt to do so will return an error.\n\n \\param hGraph - Graph from which to remove dependencies\n \\param from - Array of nodes that provide the dependencies\n \\param to - Array of dependent nodes\n \\param numDependencies - Number of dependencies to be removed\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddDependencies,\n ::cuGraphGetEdges,\n ::cuGraphNodeGetDependencies,\n ::cuGraphNodeGetDependentNodes"]
    pub unsafe fn cuGraphRemoveDependencies(
        &self,
        hGraph: CUgraph,
        from: *const CUgraphNode,
        to: *const CUgraphNode,
        numDependencies: usize,
    ) -> CUresult {
        (self
            .cuGraphRemoveDependencies
            .as_ref()
            .expect("Expected function, got error."))(hGraph, from, to, numDependencies)
    }
    #[doc = " \\brief Remove a node from the graph\n\n Removes \\p hNode from its graph. This operation also severs any dependencies of other nodes\n on \\p hNode and vice versa.\n\n Nodes which belong to a graph which contains allocation or free nodes cannot be destroyed.\n Any attempt to do so will return an error.\n\n \\param hNode  - Node to remove\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddChildGraphNode,\n ::cuGraphAddEmptyNode,\n ::cuGraphAddKernelNode,\n ::cuGraphAddHostNode,\n ::cuGraphAddMemcpyNode,\n ::cuGraphAddMemsetNode"]
    pub unsafe fn cuGraphDestroyNode(&self, hNode: CUgraphNode) -> CUresult {
        (self
            .cuGraphDestroyNode
            .as_ref()
            .expect("Expected function, got error."))(hNode)
    }
    pub unsafe fn cuGraphInstantiateWithFlags(
        &self,
        phGraphExec: *mut CUgraphExec,
        hGraph: CUgraph,
        flags: ::std::os::raw::c_ulonglong,
    ) -> CUresult {
        (self
            .cuGraphInstantiateWithFlags
            .as_ref()
            .expect("Expected function, got error."))(phGraphExec, hGraph, flags)
    }
    #[doc = " \\brief Creates an executable graph from a graph\n\n Instantiates \\p hGraph as an executable graph according to the \\p instantiateParams structure.\n The graph is validated for any structural constraints or intra-node constraints\n which were not previously validated. If instantiation is successful, a handle to\n the instantiated graph is returned in \\p phGraphExec.\n\n \\p instantiateParams controls the behavior of instantiation and subsequent\n graph launches, as well as returning more detailed information in the event of an error.\n ::CUDA_GRAPH_INSTANTIATE_PARAMS is defined as:\n\n \\code\ntypedef struct {\ncuuint64_t flags;\nCUstream hUploadStream;\nCUgraphNode hErrNode_out;\nCUgraphInstantiateResult result_out;\n} CUDA_GRAPH_INSTANTIATE_PARAMS;\n \\endcode\n\n The \\p flags field controls the behavior of instantiation and subsequent\n graph launches. Valid flags are:\n\n - ::CUDA_GRAPH_INSTANTIATE_FLAG_AUTO_FREE_ON_LAUNCH, which configures a\n graph containing memory allocation nodes to automatically free any\n unfreed memory allocations before the graph is relaunched.\n\n - ::CUDA_GRAPH_INSTANTIATE_FLAG_UPLOAD, which will perform an upload of the graph\n into \\p hUploadStream once the graph has been instantiated.\n\n - ::CUDA_GRAPH_INSTANTIATE_FLAG_DEVICE_LAUNCH, which configures the graph for launch\n from the device. If this flag is passed, the executable graph handle returned can be\n used to launch the graph from both the host and device. This flag can only be used\n on platforms which support unified addressing. This flag cannot be used in\n conjunction with ::CUDA_GRAPH_INSTANTIATE_FLAG_AUTO_FREE_ON_LAUNCH.\n\n - ::CUDA_GRAPH_INSTANTIATE_FLAG_USE_NODE_PRIORITY, which causes the graph\n to use the priorities from the per-node attributes rather than the priority\n of the launch stream during execution. Note that priorities are only available\n on kernel nodes, and are copied from stream priority during stream capture.\n\n If \\p hGraph contains any allocation or free nodes, there can be at most one\n executable graph in existence for that graph at a time. An attempt to instantiate a\n second executable graph before destroying the first with ::cuGraphExecDestroy will\n result in an error.\n\n If \\p hGraph contains kernels which call device-side cudaGraphLaunch() from multiple\n contexts, this will result in an error.\n\n Graphs instantiated for launch on the device have additional restrictions which do not\n apply to host graphs:\n\n - The graph's nodes must reside on a single context.\n - The graph can only contain kernel nodes, memcpy nodes, memset nodes, and child graph nodes.\n   Operation-specific restrictions are outlined below.\n - Kernel nodes:\n   - Use of CUDA Dynamic Parallelism is not permitted.\n   - Cooperative launches are permitted as long as MPS is not in use.\n - Memcpy nodes:\n   - Only copies involving device memory and/or pinned device-mapped host memory are permitted.\n   - Copies involving CUDA arrays are not permitted.\n   - Both operands must be accessible from the current context, and the current context must\n     match the context of other nodes in the graph.\n\n In the event of an error, the \\p result_out and \\p hErrNode_out fields will contain more\n information about the nature of the error. Possible error reporting includes:\n\n - ::CUDA_GRAPH_INSTANTIATE_ERROR, if passed an invalid value or if an unexpected error occurred\n   which is described by the return value of the function. \\p hErrNode_out will be set to NULL.\n - ::CUDA_GRAPH_INSTANTIATE_INVALID_STRUCTURE, if the graph structure is invalid. \\p hErrNode_out\n   will be set to one of the offending nodes.\n - ::CUDA_GRAPH_INSTANTIATE_NODE_OPERATION_NOT_SUPPORTED, if the graph is instantiated for device\n   launch but contains a node of an unsupported node type, or a node which performs unsupported\n   operations, such as use of CUDA dynamic parallelism within a kernel node. \\p hErrNode_out will\n   be set to this node.\n - ::CUDA_GRAPH_INSTANTIATE_MULTIPLE_CTXS_NOT_SUPPORTED, if the graph is instantiated for device\n   launch but a node’s context differs from that of another node. This error can also be returned\n   if a graph is not instantiated for device launch and it contains kernels which call device-side\n   cudaGraphLaunch() from multiple contexts. \\p hErrNode_out will be set to this node.\n\n If instantiation is successful, \\p result_out will be set to ::CUDA_GRAPH_INSTANTIATE_SUCCESS,\n and \\p hErrNode_out will be set to NULL.\n\n \\param phGraphExec       - Returns instantiated graph\n \\param hGraph            - Graph to instantiate\n \\param instantiateParams - Instantiation parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate,\n ::cuGraphInstantiate,\n ::cuGraphExecDestroy"]
    pub unsafe fn cuGraphInstantiateWithParams(
        &self,
        phGraphExec: *mut CUgraphExec,
        hGraph: CUgraph,
        instantiateParams: *mut CUDA_GRAPH_INSTANTIATE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphInstantiateWithParams
            .as_ref()
            .expect("Expected function, got error."))(phGraphExec, hGraph, instantiateParams)
    }
    #[doc = " \\brief Query the instantiation flags of an executable graph\n\n Returns the flags that were passed to instantiation for the given executable graph.\n ::CUDA_GRAPH_INSTANTIATE_FLAG_UPLOAD will not be returned by this API as it does\n not affect the resulting executable graph.\n\n \\param hGraphExec - The executable graph to query\n \\param flags      - Returns the instantiation flags\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphInstantiate,\n ::cuGraphInstantiateWithParams"]
    pub unsafe fn cuGraphExecGetFlags(
        &self,
        hGraphExec: CUgraphExec,
        flags: *mut cuuint64_t,
    ) -> CUresult {
        (self
            .cuGraphExecGetFlags
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, flags)
    }
    pub unsafe fn cuGraphExecKernelNodeSetParams_v2(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_KERNEL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExecKernelNodeSetParams_v2
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, nodeParams)
    }
    #[doc = " \\brief Sets the parameters for a memcpy node in the given graphExec.\n\n Updates the work represented by \\p hNode in \\p hGraphExec as though \\p hNode had\n contained \\p copyParams at instantiation.  hNode must remain in the graph which was\n used to instantiate \\p hGraphExec.  Changed edges to and from hNode are ignored.\n\n The source and destination memory in \\p copyParams must be allocated from the same\n contexts as the original source and destination memory.  Both the instantiation-time\n memory operands and the memory operands in \\p copyParams must be 1-dimensional.\n Zero-length operations are not supported.\n\n The modifications only affect future launches of \\p hGraphExec.  Already enqueued\n or running launches of \\p hGraphExec are not affected by this call.  hNode is also\n not modified by this call.\n\n Returns CUDA_ERROR_INVALID_VALUE if the memory operands' mappings changed or\n either the original or new memory operands are multidimensional.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Memcpy node from the graph which was used to instantiate graphExec\n \\param copyParams - The updated parameters to set\n \\param ctx        - Context on which to run the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemcpyNode,\n ::cuGraphMemcpyNodeSetParams,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecMemcpyNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        copyParams: *const CUDA_MEMCPY3D,
        ctx: CUcontext,
    ) -> CUresult {
        (self
            .cuGraphExecMemcpyNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, copyParams, ctx)
    }
    #[doc = " \\brief Sets the parameters for a memset node in the given graphExec.\n\n Updates the work represented by \\p hNode in \\p hGraphExec as though \\p hNode had\n contained \\p memsetParams at instantiation.  hNode must remain in the graph which was\n used to instantiate \\p hGraphExec.  Changed edges to and from hNode are ignored.\n\n The destination memory in \\p memsetParams must be allocated from the same\n contexts as the original destination memory.  Both the instantiation-time\n memory operand and the memory operand in \\p memsetParams must be 1-dimensional.\n Zero-length operations are not supported.\n\n The modifications only affect future launches of \\p hGraphExec.  Already enqueued\n or running launches of \\p hGraphExec are not affected by this call.  hNode is also\n not modified by this call.\n\n Returns CUDA_ERROR_INVALID_VALUE if the memory operand's mappings changed or\n either the original or new memory operand are multidimensional.\n\n \\param hGraphExec   - The executable graph in which to set the specified node\n \\param hNode        - Memset node from the graph which was used to instantiate graphExec\n \\param memsetParams - The updated parameters to set\n \\param ctx          - Context on which to run the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddMemsetNode,\n ::cuGraphMemsetNodeSetParams,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecMemsetNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        memsetParams: *const CUDA_MEMSET_NODE_PARAMS,
        ctx: CUcontext,
    ) -> CUresult {
        (self
            .cuGraphExecMemsetNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, memsetParams, ctx)
    }
    #[doc = " \\brief Sets the parameters for a host node in the given graphExec.\n\n Updates the work represented by \\p hNode in \\p hGraphExec as though \\p hNode had\n contained \\p nodeParams at instantiation.  hNode must remain in the graph which was\n used to instantiate \\p hGraphExec.  Changed edges to and from hNode are ignored.\n\n The modifications only affect future launches of \\p hGraphExec.  Already enqueued\n or running launches of \\p hGraphExec are not affected by this call.  hNode is also\n not modified by this call.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Host node from the graph which was used to instantiate graphExec\n \\param nodeParams - The updated parameters to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddHostNode,\n ::cuGraphHostNodeSetParams,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecHostNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_HOST_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExecHostNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, nodeParams)
    }
    #[doc = " \\brief Updates node parameters in the child graph node in the given graphExec.\n\n Updates the work represented by \\p hNode in \\p hGraphExec as though the nodes contained\n in \\p hNode's graph had the parameters contained in \\p childGraph's nodes at instantiation.\n \\p hNode must remain in the graph which was used to instantiate \\p hGraphExec.\n Changed edges to and from \\p hNode are ignored.\n\n The modifications only affect future launches of \\p hGraphExec.  Already enqueued\n or running launches of \\p hGraphExec are not affected by this call.  \\p hNode is also\n not modified by this call.\n\n The topology of \\p childGraph, as well as the node insertion order,  must match that\n of the graph contained in \\p hNode.  See ::cuGraphExecUpdate() for a list of restrictions\n on what can be updated in an instantiated graph.  The update is recursive, so child graph\n nodes contained within the top level child graph will also be updated.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Host node from the graph which was used to instantiate graphExec\n \\param childGraph - The graph supplying the updated parameters\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddChildGraphNode,\n ::cuGraphChildGraphNodeGetGraph,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecChildGraphNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        childGraph: CUgraph,
    ) -> CUresult {
        (self
            .cuGraphExecChildGraphNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, childGraph)
    }
    #[doc = " \\brief Sets the event for an event record node in the given graphExec\n\n Sets the event of an event record node in an executable graph \\p hGraphExec.\n The node is identified by the corresponding node \\p hNode in the\n non-executable graph, from which the executable graph was instantiated.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - event record node from the graph from which graphExec was instantiated\n \\param event      - Updated event to use\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventRecordNode,\n ::cuGraphEventRecordNodeGetEvent,\n ::cuGraphEventWaitNodeSetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecEventRecordNodeSetEvent(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphExecEventRecordNodeSetEvent
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, event)
    }
    #[doc = " \\brief Sets the event for an event wait node in the given graphExec\n\n Sets the event of an event wait node in an executable graph \\p hGraphExec.\n The node is identified by the corresponding node \\p hNode in the\n non-executable graph, from which the executable graph was instantiated.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - event wait node from the graph from which graphExec was instantiated\n \\param event      - Updated event to use\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddEventWaitNode,\n ::cuGraphEventWaitNodeGetEvent,\n ::cuGraphEventRecordNodeSetEvent,\n ::cuEventRecordWithFlags,\n ::cuStreamWaitEvent,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecEventWaitNodeSetEvent(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        event: CUevent,
    ) -> CUresult {
        (self
            .cuGraphExecEventWaitNodeSetEvent
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, event)
    }
    #[doc = " \\brief Sets the parameters for an external semaphore signal node in the given graphExec\n\n Sets the parameters of an external semaphore signal node in an executable graph \\p hGraphExec.\n The node is identified by the corresponding node \\p hNode in the\n non-executable graph, from which the executable graph was instantiated.\n\n \\p hNode must not have been removed from the original graph.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n Changing \\p nodeParams->numExtSems is not supported.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - semaphore signal node from the graph from which graphExec was instantiated\n \\param nodeParams - Updated Parameters to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddExternalSemaphoresSignalNode,\n ::cuImportExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresWaitNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecExternalSemaphoresSignalNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_EXT_SEM_SIGNAL_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExecExternalSemaphoresSignalNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, nodeParams)
    }
    #[doc = " \\brief Sets the parameters for an external semaphore wait node in the given graphExec\n\n Sets the parameters of an external semaphore wait node in an executable graph \\p hGraphExec.\n The node is identified by the corresponding node \\p hNode in the\n non-executable graph, from which the executable graph was instantiated.\n\n \\p hNode must not have been removed from the original graph.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n Changing \\p nodeParams->numExtSems is not supported.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - semaphore wait node from the graph from which graphExec was instantiated\n \\param nodeParams - Updated Parameters to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphAddExternalSemaphoresWaitNode,\n ::cuImportExternalSemaphore,\n ::cuSignalExternalSemaphoresAsync,\n ::cuWaitExternalSemaphoresAsync,\n ::cuGraphExecKernelNodeSetParams,\n ::cuGraphExecMemcpyNodeSetParams,\n ::cuGraphExecMemsetNodeSetParams,\n ::cuGraphExecHostNodeSetParams,\n ::cuGraphExecChildGraphNodeSetParams,\n ::cuGraphExecEventRecordNodeSetEvent,\n ::cuGraphExecEventWaitNodeSetEvent,\n ::cuGraphExecExternalSemaphoresSignalNodeSetParams,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate"]
    pub unsafe fn cuGraphExecExternalSemaphoresWaitNodeSetParams(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        nodeParams: *const CUDA_EXT_SEM_WAIT_NODE_PARAMS,
    ) -> CUresult {
        (self
            .cuGraphExecExternalSemaphoresWaitNodeSetParams
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, nodeParams)
    }
    #[doc = " \\brief Enables or disables the specified node in the given graphExec\n\n Sets \\p hNode to be either enabled or disabled. Disabled nodes are functionally equivalent\n to empty nodes until they are reenabled. Existing node parameters are not affected by\n disabling/enabling the node.\n\n The node is identified by the corresponding node \\p hNode in the non-executable\n graph, from which the executable graph was instantiated.\n\n \\p hNode must not have been removed from the original graph.\n\n The modifications only affect future launches of \\p hGraphExec. Already\n enqueued or running launches of \\p hGraphExec are not affected by this call.\n \\p hNode is also not modified by this call.\n\n \\note Currently only kernel, memset and memcpy nodes are supported.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Node from the graph from which graphExec was instantiated\n \\param isEnabled  - Node is enabled if != 0, otherwise the node is disabled\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphNodeGetEnabled,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate\n ::cuGraphLaunch"]
    pub unsafe fn cuGraphNodeSetEnabled(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        isEnabled: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphNodeSetEnabled
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, isEnabled)
    }
    #[doc = " \\brief Query whether a node in the given graphExec is enabled\n\n Sets isEnabled to 1 if \\p hNode is enabled, or 0 if \\p hNode is disabled.\n\n The node is identified by the corresponding node \\p hNode in the non-executable\n graph, from which the executable graph was instantiated.\n\n \\p hNode must not have been removed from the original graph.\n\n \\note Currently only kernel, memset and memcpy nodes are supported.\n\n \\param hGraphExec - The executable graph in which to set the specified node\n \\param hNode      - Node from the graph from which graphExec was instantiated\n \\param isEnabled  - Location to return the enabled status of the node\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphNodeSetEnabled,\n ::cuGraphExecUpdate,\n ::cuGraphInstantiate\n ::cuGraphLaunch"]
    pub unsafe fn cuGraphNodeGetEnabled(
        &self,
        hGraphExec: CUgraphExec,
        hNode: CUgraphNode,
        isEnabled: *mut ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphNodeGetEnabled
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hNode, isEnabled)
    }
    #[doc = " \\brief Uploads an executable graph in a stream\n\n Uploads \\p hGraphExec to the device in \\p hStream without executing it. Uploads of\n the same \\p hGraphExec will be serialized. Each upload is ordered behind both any\n previous work in \\p hStream and any previous launches of \\p hGraphExec.\n Uses memory cached by \\p stream to back the allocations owned by \\p hGraphExec.\n\n \\param hGraphExec - Executable graph to upload\n \\param hStream    - Stream in which to upload the graph\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphInstantiate,\n ::cuGraphLaunch,\n ::cuGraphExecDestroy"]
    pub unsafe fn cuGraphUpload(&self, hGraphExec: CUgraphExec, hStream: CUstream) -> CUresult {
        (self
            .cuGraphUpload
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hStream)
    }
    #[doc = " \\brief Launches an executable graph in a stream\n\n Executes \\p hGraphExec in \\p hStream. Only one instance of \\p hGraphExec may be executing\n at a time. Each launch is ordered behind both any previous work in \\p hStream\n and any previous launches of \\p hGraphExec. To execute a graph concurrently, it must be\n instantiated multiple times into multiple executable graphs.\n\n If any allocations created by \\p hGraphExec remain unfreed (from a previous launch) and\n \\p hGraphExec was not instantiated with ::CUDA_GRAPH_INSTANTIATE_FLAG_AUTO_FREE_ON_LAUNCH,\n the launch will fail with ::CUDA_ERROR_INVALID_VALUE.\n\n \\param hGraphExec - Executable graph to launch\n \\param hStream    - Stream in which to launch the graph\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphInstantiate,\n ::cuGraphUpload,\n ::cuGraphExecDestroy"]
    pub unsafe fn cuGraphLaunch(&self, hGraphExec: CUgraphExec, hStream: CUstream) -> CUresult {
        (self
            .cuGraphLaunch
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hStream)
    }
    #[doc = " \\brief Destroys an executable graph\n\n Destroys the executable graph specified by \\p hGraphExec, as well\n as all of its executable nodes. If the executable graph is\n in-flight, it will not be terminated, but rather freed\n asynchronously on completion.\n\n \\param hGraphExec - Executable graph to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphInstantiate,\n ::cuGraphUpload,\n ::cuGraphLaunch"]
    pub unsafe fn cuGraphExecDestroy(&self, hGraphExec: CUgraphExec) -> CUresult {
        (self
            .cuGraphExecDestroy
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec)
    }
    #[doc = " \\brief Destroys a graph\n\n Destroys the graph specified by \\p hGraph, as well as all of its nodes.\n\n \\param hGraph - Graph to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_VALUE\n \\note_graph_thread_safety\n \\notefnerr\n\n \\sa\n ::cuGraphCreate"]
    pub unsafe fn cuGraphDestroy(&self, hGraph: CUgraph) -> CUresult {
        (self
            .cuGraphDestroy
            .as_ref()
            .expect("Expected function, got error."))(hGraph)
    }
    pub unsafe fn cuGraphExecUpdate_v2(
        &self,
        hGraphExec: CUgraphExec,
        hGraph: CUgraph,
        resultInfo: *mut CUgraphExecUpdateResultInfo,
    ) -> CUresult {
        (self
            .cuGraphExecUpdate_v2
            .as_ref()
            .expect("Expected function, got error."))(hGraphExec, hGraph, resultInfo)
    }
    #[doc = " \\brief Copies attributes from source node to destination node.\n\n Copies attributes from source node \\p src to destination node \\p dst.\n Both node must have the same context.\n\n \\param[out] dst Destination node\n \\param[in] src Source node\n For list of attributes see ::CUkernelNodeAttrID\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuGraphKernelNodeCopyAttributes(
        &self,
        dst: CUgraphNode,
        src: CUgraphNode,
    ) -> CUresult {
        (self
            .cuGraphKernelNodeCopyAttributes
            .as_ref()
            .expect("Expected function, got error."))(dst, src)
    }
    #[doc = " \\brief Queries node attribute.\n\n Queries attribute \\p attr from node \\p hNode and stores it in corresponding\n member of \\p value_out.\n\n \\param[in] hNode\n \\param[in] attr\n \\param[out] value_out\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuGraphKernelNodeGetAttribute(
        &self,
        hNode: CUgraphNode,
        attr: CUkernelNodeAttrID,
        value_out: *mut CUkernelNodeAttrValue,
    ) -> CUresult {
        (self
            .cuGraphKernelNodeGetAttribute
            .as_ref()
            .expect("Expected function, got error."))(hNode, attr, value_out)
    }
    #[doc = " \\brief Sets node attribute.\n\n Sets attribute \\p attr on node \\p hNode from corresponding attribute of\n \\p value.\n\n \\param[out] hNode\n \\param[in] attr\n \\param[out] value\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE\n \\notefnerr\n\n \\sa\n ::CUaccessPolicyWindow"]
    pub unsafe fn cuGraphKernelNodeSetAttribute(
        &self,
        hNode: CUgraphNode,
        attr: CUkernelNodeAttrID,
        value: *const CUkernelNodeAttrValue,
    ) -> CUresult {
        (self
            .cuGraphKernelNodeSetAttribute
            .as_ref()
            .expect("Expected function, got error."))(hNode, attr, value)
    }
    #[doc = " \\brief Write a DOT file describing graph structure\n\n Using the provided \\p hGraph, write to \\p path a DOT formatted description of the graph.\n By default this includes the graph topology, node types, node id, kernel names and memcpy direction.\n \\p flags can be specified to write more detailed information about each node type such as\n parameter values, kernel attributes, node and function handles.\n\n \\param hGraph - The graph to create a DOT file from\n \\param path   - The path to write the DOT file to\n \\param flags  - Flags from CUgraphDebugDot_flags for specifying which additional node information to write\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_OPERATING_SYSTEM"]
    pub unsafe fn cuGraphDebugDotPrint(
        &self,
        hGraph: CUgraph,
        path: *const ::std::os::raw::c_char,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphDebugDotPrint
            .as_ref()
            .expect("Expected function, got error."))(hGraph, path, flags)
    }
    #[doc = " \\brief Create a user object\n\n Create a user object with the specified destructor callback and initial reference count. The\n initial references are owned by the caller.\n\n Destructor callbacks cannot make CUDA API calls and should avoid blocking behavior, as they\n are executed by a shared internal thread. Another thread may be signaled to perform such\n actions, if it does not block forward progress of tasks scheduled through CUDA.\n\n See CUDA User Objects in the CUDA C++ Programming Guide for more information on user objects.\n\n \\param object_out      - Location to return the user object handle\n \\param ptr             - The pointer to pass to the destroy function\n \\param destroy         - Callback to free the user object when it is no longer in use\n \\param initialRefcount - The initial refcount to create the object with, typically 1. The\n                          initial references are owned by the calling thread.\n \\param flags           - Currently it is required to pass ::CU_USER_OBJECT_NO_DESTRUCTOR_SYNC,\n                          which is the only defined flag. This indicates that the destroy\n                          callback cannot be waited on by any CUDA API. Users requiring\n                          synchronization of the callback should signal its completion\n                          manually.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuUserObjectRetain,\n ::cuUserObjectRelease,\n ::cuGraphRetainUserObject,\n ::cuGraphReleaseUserObject,\n ::cuGraphCreate"]
    pub unsafe fn cuUserObjectCreate(
        &self,
        object_out: *mut CUuserObject,
        ptr: *mut ::std::os::raw::c_void,
        destroy: CUhostFn,
        initialRefcount: ::std::os::raw::c_uint,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuUserObjectCreate
            .as_ref()
            .expect("Expected function, got error."))(
            object_out,
            ptr,
            destroy,
            initialRefcount,
            flags,
        )
    }
    #[doc = " \\brief Retain a reference to a user object\n\n Retains new references to a user object. The new references are owned by the caller.\n\n See CUDA User Objects in the CUDA C++ Programming Guide for more information on user objects.\n\n \\param object - The object to retain\n \\param count  - The number of references to retain, typically 1. Must be nonzero\n                 and not larger than INT_MAX.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuUserObjectCreate,\n ::cuUserObjectRelease,\n ::cuGraphRetainUserObject,\n ::cuGraphReleaseUserObject,\n ::cuGraphCreate"]
    pub unsafe fn cuUserObjectRetain(
        &self,
        object: CUuserObject,
        count: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuUserObjectRetain
            .as_ref()
            .expect("Expected function, got error."))(object, count)
    }
    #[doc = " \\brief Release a reference to a user object\n\n Releases user object references owned by the caller. The object's destructor is invoked if\n the reference count reaches zero.\n\n It is undefined behavior to release references not owned by the caller, or to use a user\n object handle after all references are released.\n\n See CUDA User Objects in the CUDA C++ Programming Guide for more information on user objects.\n\n \\param object - The object to release\n \\param count  - The number of references to release, typically 1. Must be nonzero\n                 and not larger than INT_MAX.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuUserObjectCreate,\n ::cuUserObjectRetain,\n ::cuGraphRetainUserObject,\n ::cuGraphReleaseUserObject,\n ::cuGraphCreate"]
    pub unsafe fn cuUserObjectRelease(
        &self,
        object: CUuserObject,
        count: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuUserObjectRelease
            .as_ref()
            .expect("Expected function, got error."))(object, count)
    }
    #[doc = " \\brief Retain a reference to a user object from a graph\n\n Creates or moves user object references that will be owned by a CUDA graph.\n\n See CUDA User Objects in the CUDA C++ Programming Guide for more information on user objects.\n\n \\param graph  - The graph to associate the reference with\n \\param object - The user object to retain a reference for\n \\param count  - The number of references to add to the graph, typically 1. Must be\n                 nonzero and not larger than INT_MAX.\n \\param flags  - The optional flag ::CU_GRAPH_USER_OBJECT_MOVE transfers references\n                 from the calling thread, rather than create new references. Pass 0\n                 to create new references.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuUserObjectCreate,\n ::cuUserObjectRetain,\n ::cuUserObjectRelease,\n ::cuGraphReleaseUserObject,\n ::cuGraphCreate"]
    pub unsafe fn cuGraphRetainUserObject(
        &self,
        graph: CUgraph,
        object: CUuserObject,
        count: ::std::os::raw::c_uint,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphRetainUserObject
            .as_ref()
            .expect("Expected function, got error."))(graph, object, count, flags)
    }
    #[doc = " \\brief Release a user object reference from a graph\n\n Releases user object references owned by a graph.\n\n See CUDA User Objects in the CUDA C++ Programming Guide for more information on user objects.\n\n \\param graph  - The graph that will release the reference\n \\param object - The user object to release a reference for\n \\param count  - The number of references to release, typically 1. Must be nonzero\n                 and not larger than INT_MAX.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuUserObjectCreate,\n ::cuUserObjectRetain,\n ::cuUserObjectRelease,\n ::cuGraphRetainUserObject,\n ::cuGraphCreate"]
    pub unsafe fn cuGraphReleaseUserObject(
        &self,
        graph: CUgraph,
        object: CUuserObject,
        count: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphReleaseUserObject
            .as_ref()
            .expect("Expected function, got error."))(graph, object, count)
    }
    #[doc = " \\brief Returns occupancy of a function\n\n Returns in \\p *numBlocks the number of the maximum active blocks per\n streaming multiprocessor.\n\n \\param numBlocks       - Returned occupancy\n \\param func            - Kernel for which occupancy is calculated\n \\param blockSize       - Block size the kernel is intended to be launched with\n \\param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaOccupancyMaxActiveBlocksPerMultiprocessor"]
    pub unsafe fn cuOccupancyMaxActiveBlocksPerMultiprocessor(
        &self,
        numBlocks: *mut ::std::os::raw::c_int,
        func: CUfunction,
        blockSize: ::std::os::raw::c_int,
        dynamicSMemSize: usize,
    ) -> CUresult {
        (self
            .cuOccupancyMaxActiveBlocksPerMultiprocessor
            .as_ref()
            .expect("Expected function, got error."))(
            numBlocks, func, blockSize, dynamicSMemSize
        )
    }
    #[doc = " \\brief Returns occupancy of a function\n\n Returns in \\p *numBlocks the number of the maximum active blocks per\n streaming multiprocessor.\n\n The \\p Flags parameter controls how special cases are handled. The\n valid flags are:\n\n - ::CU_OCCUPANCY_DEFAULT, which maintains the default behavior as\n   ::cuOccupancyMaxActiveBlocksPerMultiprocessor;\n\n - ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE, which suppresses the\n   default behavior on platform where global caching affects\n   occupancy. On such platforms, if caching is enabled, but\n   per-block SM resource usage would result in zero occupancy, the\n   occupancy calculator will calculate the occupancy as if caching\n   is disabled. Setting ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE makes\n   the occupancy calculator to return 0 in such cases. More information\n   can be found about this feature in the \"Unified L1/Texture Cache\"\n   section of the Maxwell tuning guide.\n\n \\param numBlocks       - Returned occupancy\n \\param func            - Kernel for which occupancy is calculated\n \\param blockSize       - Block size the kernel is intended to be launched with\n \\param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes\n \\param flags           - Requested behavior for the occupancy calculator\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags"]
    pub unsafe fn cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(
        &self,
        numBlocks: *mut ::std::os::raw::c_int,
        func: CUfunction,
        blockSize: ::std::os::raw::c_int,
        dynamicSMemSize: usize,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags
            .as_ref()
            .expect("Expected function, got error."))(
            numBlocks,
            func,
            blockSize,
            dynamicSMemSize,
            flags,
        )
    }
    #[doc = " \\brief Suggest a launch configuration with reasonable occupancy\n\n Returns in \\p *blockSize a reasonable block size that can achieve\n the maximum occupancy (or, the maximum number of active warps with\n the fewest blocks per multiprocessor), and in \\p *minGridSize the\n minimum grid size to achieve the maximum occupancy.\n\n If \\p blockSizeLimit is 0, the configurator will use the maximum\n block size permitted by the device / function instead.\n\n If per-block dynamic shared memory allocation is not needed, the\n user should leave both \\p blockSizeToDynamicSMemSize and \\p\n dynamicSMemSize as 0.\n\n If per-block dynamic shared memory allocation is needed, then if\n the dynamic shared memory size is constant regardless of block\n size, the size should be passed through \\p dynamicSMemSize, and \\p\n blockSizeToDynamicSMemSize should be NULL.\n\n Otherwise, if the per-block dynamic shared memory size varies with\n different block sizes, the user needs to provide a unary function\n through \\p blockSizeToDynamicSMemSize that computes the dynamic\n shared memory needed by \\p func for any given block size. \\p\n dynamicSMemSize is ignored. An example signature is:\n\n \\code\n    // Take block size, returns dynamic shared memory needed\n    size_t blockToSmem(int blockSize);\n \\endcode\n\n \\param minGridSize - Returned minimum grid size needed to achieve the maximum occupancy\n \\param blockSize   - Returned maximum block size that can achieve the maximum occupancy\n \\param func        - Kernel for which launch configuration is calculated\n \\param blockSizeToDynamicSMemSize - A function that calculates how much per-block dynamic shared memory \\p func uses based on the block size\n \\param dynamicSMemSize - Dynamic shared memory usage intended, in bytes\n \\param blockSizeLimit  - The maximum block size \\p func is designed to handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaOccupancyMaxPotentialBlockSize"]
    pub unsafe fn cuOccupancyMaxPotentialBlockSize(
        &self,
        minGridSize: *mut ::std::os::raw::c_int,
        blockSize: *mut ::std::os::raw::c_int,
        func: CUfunction,
        blockSizeToDynamicSMemSize: CUoccupancyB2DSize,
        dynamicSMemSize: usize,
        blockSizeLimit: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuOccupancyMaxPotentialBlockSize
            .as_ref()
            .expect("Expected function, got error."))(
            minGridSize,
            blockSize,
            func,
            blockSizeToDynamicSMemSize,
            dynamicSMemSize,
            blockSizeLimit,
        )
    }
    #[doc = " \\brief Suggest a launch configuration with reasonable occupancy\n\n An extended version of ::cuOccupancyMaxPotentialBlockSize. In\n addition to arguments passed to ::cuOccupancyMaxPotentialBlockSize,\n ::cuOccupancyMaxPotentialBlockSizeWithFlags also takes a \\p Flags\n parameter.\n\n The \\p Flags parameter controls how special cases are handled. The\n valid flags are:\n\n - ::CU_OCCUPANCY_DEFAULT, which maintains the default behavior as\n   ::cuOccupancyMaxPotentialBlockSize;\n\n - ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE, which suppresses the\n   default behavior on platform where global caching affects\n   occupancy. On such platforms, the launch configurations that\n   produces maximal occupancy might not support global\n   caching. Setting ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE\n   guarantees that the the produced launch configuration is global\n   caching compatible at a potential cost of occupancy. More information\n   can be found about this feature in the \"Unified L1/Texture Cache\"\n   section of the Maxwell tuning guide.\n\n \\param minGridSize - Returned minimum grid size needed to achieve the maximum occupancy\n \\param blockSize   - Returned maximum block size that can achieve the maximum occupancy\n \\param func        - Kernel for which launch configuration is calculated\n \\param blockSizeToDynamicSMemSize - A function that calculates how much per-block dynamic shared memory \\p func uses based on the block size\n \\param dynamicSMemSize - Dynamic shared memory usage intended, in bytes\n \\param blockSizeLimit  - The maximum block size \\p func is designed to handle\n \\param flags       - Options\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaOccupancyMaxPotentialBlockSizeWithFlags"]
    pub unsafe fn cuOccupancyMaxPotentialBlockSizeWithFlags(
        &self,
        minGridSize: *mut ::std::os::raw::c_int,
        blockSize: *mut ::std::os::raw::c_int,
        func: CUfunction,
        blockSizeToDynamicSMemSize: CUoccupancyB2DSize,
        dynamicSMemSize: usize,
        blockSizeLimit: ::std::os::raw::c_int,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuOccupancyMaxPotentialBlockSizeWithFlags
            .as_ref()
            .expect("Expected function, got error."))(
            minGridSize,
            blockSize,
            func,
            blockSizeToDynamicSMemSize,
            dynamicSMemSize,
            blockSizeLimit,
            flags,
        )
    }
    #[doc = " \\brief Returns dynamic shared memory available per block when launching \\p numBlocks blocks on SM\n\n Returns in \\p *dynamicSmemSize the maximum size of dynamic shared memory to allow \\p numBlocks blocks per SM.\n\n \\param dynamicSmemSize - Returned maximum dynamic shared memory\n \\param func            - Kernel function for which occupancy is calculated\n \\param numBlocks       - Number of blocks to fit on SM\n \\param blockSize       - Size of the blocks\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr"]
    pub unsafe fn cuOccupancyAvailableDynamicSMemPerBlock(
        &self,
        dynamicSmemSize: *mut usize,
        func: CUfunction,
        numBlocks: ::std::os::raw::c_int,
        blockSize: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuOccupancyAvailableDynamicSMemPerBlock
            .as_ref()
            .expect("Expected function, got error."))(
            dynamicSmemSize, func, numBlocks, blockSize
        )
    }
    #[doc = " \\brief Given the kernel function (\\p func) and launch configuration\n (\\p config), return the maximum cluster size in \\p *clusterSize.\n\n The cluster dimensions in \\p config are ignored. If func has a required\n cluster size set (see ::cudaFuncGetAttributes / ::cuFuncGetAttribute),\\p\n *clusterSize will reflect the required cluster size.\n\n By default this function will always return a value that's portable on\n future hardware. A higher value may be returned if the kernel function\n allows non-portable cluster sizes.\n\n This function will respect the compile time launch bounds.\n\n \\param clusterSize - Returned maximum cluster size that can be launched\n                      for the given kernel function and launch configuration\n \\param func        - Kernel function for which maximum cluster\n                      size is calculated\n \\param config      - Launch configuration for the given kernel function\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaFuncGetAttributes,\n ::cuFuncGetAttribute"]
    pub unsafe fn cuOccupancyMaxPotentialClusterSize(
        &self,
        clusterSize: *mut ::std::os::raw::c_int,
        func: CUfunction,
        config: *const CUlaunchConfig,
    ) -> CUresult {
        (self
            .cuOccupancyMaxPotentialClusterSize
            .as_ref()
            .expect("Expected function, got error."))(clusterSize, func, config)
    }
    #[doc = " \\brief Given the kernel function (\\p func) and launch configuration\n (\\p config), return the maximum number of clusters that could co-exist\n on the target device in \\p *numClusters.\n\n If the function has required cluster size already set (see\n ::cudaFuncGetAttributes / ::cuFuncGetAttribute), the cluster size\n from config must either be unspecified or match the required size.\n Without required sizes, the cluster size must be specified in config,\n else the function will return an error.\n\n Note that various attributes of the kernel function may affect occupancy\n calculation. Runtime environment may affect how the hardware schedules\n the clusters, so the calculated occupancy is not guaranteed to be achievable.\n\n \\param numClusters - Returned maximum number of clusters that\n                      could co-exist on the target device\n \\param func        - Kernel function for which maximum number\n                      of clusters are calculated\n \\param config      - Launch configuration for the given kernel function\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_CLUSTER_SIZE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cudaFuncGetAttributes,\n ::cuFuncGetAttribute"]
    pub unsafe fn cuOccupancyMaxActiveClusters(
        &self,
        numClusters: *mut ::std::os::raw::c_int,
        func: CUfunction,
        config: *const CUlaunchConfig,
    ) -> CUresult {
        (self
            .cuOccupancyMaxActiveClusters
            .as_ref()
            .expect("Expected function, got error."))(numClusters, func, config)
    }
    #[doc = " \\brief Binds an array as a texture reference\n\n \\deprecated\n\n Binds the CUDA array \\p hArray to the texture reference \\p hTexRef. Any\n previous address or CUDA array state associated with the texture reference\n is superseded by this function. \\p Flags must be set to\n ::CU_TRSA_OVERRIDE_FORMAT. Any CUDA array previously bound to \\p hTexRef is\n unbound.\n\n \\param hTexRef - Texture reference to bind\n \\param hArray  - Array to bind\n \\param Flags   - Options (must be ::CU_TRSA_OVERRIDE_FORMAT)\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetArray(
        &self,
        hTexRef: CUtexref,
        hArray: CUarray,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuTexRefSetArray
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, hArray, Flags)
    }
    #[doc = " \\brief Binds a mipmapped array to a texture reference\n\n \\deprecated\n\n Binds the CUDA mipmapped array \\p hMipmappedArray to the texture reference \\p hTexRef.\n Any previous address or CUDA array state associated with the texture reference\n is superseded by this function. \\p Flags must be set to ::CU_TRSA_OVERRIDE_FORMAT.\n Any CUDA array previously bound to \\p hTexRef is unbound.\n\n \\param hTexRef         - Texture reference to bind\n \\param hMipmappedArray - Mipmapped array to bind\n \\param Flags           - Options (must be ::CU_TRSA_OVERRIDE_FORMAT)\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetMipmappedArray(
        &self,
        hTexRef: CUtexref,
        hMipmappedArray: CUmipmappedArray,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuTexRefSetMipmappedArray
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, hMipmappedArray, Flags)
    }
    pub unsafe fn cuTexRefSetAddress_v2(
        &self,
        ByteOffset: *mut usize,
        hTexRef: CUtexref,
        dptr: CUdeviceptr,
        bytes: usize,
    ) -> CUresult {
        (self
            .cuTexRefSetAddress_v2
            .as_ref()
            .expect("Expected function, got error."))(ByteOffset, hTexRef, dptr, bytes)
    }
    pub unsafe fn cuTexRefSetAddress2D_v3(
        &self,
        hTexRef: CUtexref,
        desc: *const CUDA_ARRAY_DESCRIPTOR,
        dptr: CUdeviceptr,
        Pitch: usize,
    ) -> CUresult {
        (self
            .cuTexRefSetAddress2D_v3
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, desc, dptr, Pitch)
    }
    #[doc = " \\brief Sets the format for a texture reference\n\n \\deprecated\n\n Specifies the format of the data to be read by the texture reference\n \\p hTexRef. \\p fmt and \\p NumPackedComponents are exactly analogous to the\n ::Format and ::NumChannels members of the ::CUDA_ARRAY_DESCRIPTOR structure:\n They specify the format of each component and the number of components per\n array element.\n\n \\param hTexRef             - Texture reference\n \\param fmt                 - Format to set\n \\param NumPackedComponents - Number of components per array element\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat,\n ::cudaCreateChannelDesc"]
    pub unsafe fn cuTexRefSetFormat(
        &self,
        hTexRef: CUtexref,
        fmt: CUarray_format,
        NumPackedComponents: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuTexRefSetFormat
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, fmt, NumPackedComponents)
    }
    #[doc = " \\brief Sets the addressing mode for a texture reference\n\n \\deprecated\n\n Specifies the addressing mode \\p am for the given dimension \\p dim of the\n texture reference \\p hTexRef. If \\p dim is zero, the addressing mode is\n applied to the first parameter of the functions used to fetch from the\n texture; if \\p dim is 1, the second, and so on. ::CUaddress_mode is defined\n as:\n \\code\ntypedef enum CUaddress_mode_enum {\nCU_TR_ADDRESS_MODE_WRAP = 0,\nCU_TR_ADDRESS_MODE_CLAMP = 1,\nCU_TR_ADDRESS_MODE_MIRROR = 2,\nCU_TR_ADDRESS_MODE_BORDER = 3\n} CUaddress_mode;\n \\endcode\n\n Note that this call has no effect if \\p hTexRef is bound to linear memory.\n Also, if the flag, ::CU_TRSF_NORMALIZED_COORDINATES, is not set, the only\n supported address mode is ::CU_TR_ADDRESS_MODE_CLAMP.\n\n \\param hTexRef - Texture reference\n \\param dim     - Dimension\n \\param am      - Addressing mode to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetAddressMode(
        &self,
        hTexRef: CUtexref,
        dim: ::std::os::raw::c_int,
        am: CUaddress_mode,
    ) -> CUresult {
        (self
            .cuTexRefSetAddressMode
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, dim, am)
    }
    #[doc = " \\brief Sets the filtering mode for a texture reference\n\n \\deprecated\n\n Specifies the filtering mode \\p fm to be used when reading memory through\n the texture reference \\p hTexRef. ::CUfilter_mode_enum is defined as:\n\n \\code\ntypedef enum CUfilter_mode_enum {\nCU_TR_FILTER_MODE_POINT = 0,\nCU_TR_FILTER_MODE_LINEAR = 1\n} CUfilter_mode;\n \\endcode\n\n Note that this call has no effect if \\p hTexRef is bound to linear memory.\n\n \\param hTexRef - Texture reference\n \\param fm      - Filtering mode to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetFilterMode(&self, hTexRef: CUtexref, fm: CUfilter_mode) -> CUresult {
        (self
            .cuTexRefSetFilterMode
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, fm)
    }
    #[doc = " \\brief Sets the mipmap filtering mode for a texture reference\n\n \\deprecated\n\n Specifies the mipmap filtering mode \\p fm to be used when reading memory through\n the texture reference \\p hTexRef. ::CUfilter_mode_enum is defined as:\n\n \\code\ntypedef enum CUfilter_mode_enum {\nCU_TR_FILTER_MODE_POINT = 0,\nCU_TR_FILTER_MODE_LINEAR = 1\n} CUfilter_mode;\n \\endcode\n\n Note that this call has no effect if \\p hTexRef is not bound to a mipmapped array.\n\n \\param hTexRef - Texture reference\n \\param fm      - Filtering mode to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetMipmapFilterMode(
        &self,
        hTexRef: CUtexref,
        fm: CUfilter_mode,
    ) -> CUresult {
        (self
            .cuTexRefSetMipmapFilterMode
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, fm)
    }
    #[doc = " \\brief Sets the mipmap level bias for a texture reference\n\n \\deprecated\n\n Specifies the mipmap level bias \\p bias to be added to the specified mipmap level when\n reading memory through the texture reference \\p hTexRef.\n\n Note that this call has no effect if \\p hTexRef is not bound to a mipmapped array.\n\n \\param hTexRef - Texture reference\n \\param bias    - Mipmap level bias\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetMipmapLevelBias(&self, hTexRef: CUtexref, bias: f32) -> CUresult {
        (self
            .cuTexRefSetMipmapLevelBias
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, bias)
    }
    #[doc = " \\brief Sets the mipmap min/max mipmap level clamps for a texture reference\n\n \\deprecated\n\n Specifies the min/max mipmap level clamps, \\p minMipmapLevelClamp and \\p maxMipmapLevelClamp\n respectively, to be used when reading memory through the texture reference\n \\p hTexRef.\n\n Note that this call has no effect if \\p hTexRef is not bound to a mipmapped array.\n\n \\param hTexRef        - Texture reference\n \\param minMipmapLevelClamp - Mipmap min level clamp\n \\param maxMipmapLevelClamp - Mipmap max level clamp\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetMipmapLevelClamp(
        &self,
        hTexRef: CUtexref,
        minMipmapLevelClamp: f32,
        maxMipmapLevelClamp: f32,
    ) -> CUresult {
        (self
            .cuTexRefSetMipmapLevelClamp
            .as_ref()
            .expect("Expected function, got error."))(
            hTexRef,
            minMipmapLevelClamp,
            maxMipmapLevelClamp,
        )
    }
    #[doc = " \\brief Sets the maximum anisotropy for a texture reference\n\n \\deprecated\n\n Specifies the maximum anisotropy \\p maxAniso to be used when reading memory through\n the texture reference \\p hTexRef.\n\n Note that this call has no effect if \\p hTexRef is bound to linear memory.\n\n \\param hTexRef  - Texture reference\n \\param maxAniso - Maximum anisotropy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetMaxAnisotropy(
        &self,
        hTexRef: CUtexref,
        maxAniso: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuTexRefSetMaxAnisotropy
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, maxAniso)
    }
    #[doc = " \\brief Sets the border color for a texture reference\n\n \\deprecated\n\n Specifies the value of the RGBA color via the \\p pBorderColor to the texture reference\n \\p hTexRef. The color value supports only float type and holds color components in\n the following sequence:\n pBorderColor[0] holds 'R' component\n pBorderColor[1] holds 'G' component\n pBorderColor[2] holds 'B' component\n pBorderColor[3] holds 'A' component\n\n Note that the color values can be set only when the Address mode is set to\n CU_TR_ADDRESS_MODE_BORDER using ::cuTexRefSetAddressMode.\n Applications using integer border color values have to \"reinterpret_cast\" their values to float.\n\n \\param hTexRef       - Texture reference\n \\param pBorderColor  - RGBA color\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddressMode,\n ::cuTexRefGetAddressMode, ::cuTexRefGetBorderColor"]
    pub unsafe fn cuTexRefSetBorderColor(
        &self,
        hTexRef: CUtexref,
        pBorderColor: *mut f32,
    ) -> CUresult {
        (self
            .cuTexRefSetBorderColor
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, pBorderColor)
    }
    #[doc = " \\brief Sets the flags for a texture reference\n\n \\deprecated\n\n Specifies optional flags via \\p Flags to specify the behavior of data\n returned through the texture reference \\p hTexRef. The valid flags are:\n\n - ::CU_TRSF_READ_AS_INTEGER, which suppresses the default behavior of\n   having the texture promote integer data to floating point data in the\n   range [0, 1]. Note that texture with 32-bit integer format\n   would not be promoted, regardless of whether or not this\n   flag is specified;\n - ::CU_TRSF_NORMALIZED_COORDINATES, which suppresses the\n   default behavior of having the texture coordinates range\n   from [0, Dim) where Dim is the width or height of the CUDA\n   array. Instead, the texture coordinates [0, 1.0) reference\n   the entire breadth of the array dimension;\n - ::CU_TRSF_DISABLE_TRILINEAR_OPTIMIZATION, which disables any trilinear\n   filtering optimizations. Trilinear optimizations improve texture filtering\n   performance by allowing bilinear filtering on textures in scenarios where\n   it can closely approximate the expected results.\n\n \\param hTexRef - Texture reference\n \\param Flags   - Optional flags to set\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefSetFlags(
        &self,
        hTexRef: CUtexref,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuTexRefSetFlags
            .as_ref()
            .expect("Expected function, got error."))(hTexRef, Flags)
    }
    pub unsafe fn cuTexRefGetAddress_v2(
        &self,
        pdptr: *mut CUdeviceptr,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetAddress_v2
            .as_ref()
            .expect("Expected function, got error."))(pdptr, hTexRef)
    }
    #[doc = " \\brief Gets the array bound to a texture reference\n\n \\deprecated\n\n Returns in \\p *phArray the CUDA array bound to the texture reference\n \\p hTexRef, or returns ::CUDA_ERROR_INVALID_VALUE if the texture reference\n is not bound to any CUDA array.\n\n \\param phArray - Returned array\n \\param hTexRef - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetArray(&self, phArray: *mut CUarray, hTexRef: CUtexref) -> CUresult {
        (self
            .cuTexRefGetArray
            .as_ref()
            .expect("Expected function, got error."))(phArray, hTexRef)
    }
    #[doc = " \\brief Gets the mipmapped array bound to a texture reference\n\n \\deprecated\n\n Returns in \\p *phMipmappedArray the CUDA mipmapped array bound to the texture\n reference \\p hTexRef, or returns ::CUDA_ERROR_INVALID_VALUE if the texture reference\n is not bound to any CUDA mipmapped array.\n\n \\param phMipmappedArray - Returned mipmapped array\n \\param hTexRef          - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetMipmappedArray(
        &self,
        phMipmappedArray: *mut CUmipmappedArray,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetMipmappedArray
            .as_ref()
            .expect("Expected function, got error."))(phMipmappedArray, hTexRef)
    }
    #[doc = " \\brief Gets the addressing mode used by a texture reference\n\n \\deprecated\n\n Returns in \\p *pam the addressing mode corresponding to the\n dimension \\p dim of the texture reference \\p hTexRef. Currently, the only\n valid value for \\p dim are 0 and 1.\n\n \\param pam     - Returned addressing mode\n \\param hTexRef - Texture reference\n \\param dim     - Dimension\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetAddressMode(
        &self,
        pam: *mut CUaddress_mode,
        hTexRef: CUtexref,
        dim: ::std::os::raw::c_int,
    ) -> CUresult {
        (self
            .cuTexRefGetAddressMode
            .as_ref()
            .expect("Expected function, got error."))(pam, hTexRef, dim)
    }
    #[doc = " \\brief Gets the filter-mode used by a texture reference\n\n \\deprecated\n\n Returns in \\p *pfm the filtering mode of the texture reference\n \\p hTexRef.\n\n \\param pfm     - Returned filtering mode\n \\param hTexRef - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetFilterMode(
        &self,
        pfm: *mut CUfilter_mode,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetFilterMode
            .as_ref()
            .expect("Expected function, got error."))(pfm, hTexRef)
    }
    #[doc = " \\brief Gets the format used by a texture reference\n\n \\deprecated\n\n Returns in \\p *pFormat and \\p *pNumChannels the format and number\n of components of the CUDA array bound to the texture reference \\p hTexRef.\n If \\p pFormat or \\p pNumChannels is NULL, it will be ignored.\n\n \\param pFormat      - Returned format\n \\param pNumChannels - Returned number of components\n \\param hTexRef      - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags"]
    pub unsafe fn cuTexRefGetFormat(
        &self,
        pFormat: *mut CUarray_format,
        pNumChannels: *mut ::std::os::raw::c_int,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetFormat
            .as_ref()
            .expect("Expected function, got error."))(pFormat, pNumChannels, hTexRef)
    }
    #[doc = " \\brief Gets the mipmap filtering mode for a texture reference\n\n \\deprecated\n\n Returns the mipmap filtering mode in \\p pfm that's used when reading memory through\n the texture reference \\p hTexRef.\n\n \\param pfm     - Returned mipmap filtering mode\n \\param hTexRef - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetMipmapFilterMode(
        &self,
        pfm: *mut CUfilter_mode,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetMipmapFilterMode
            .as_ref()
            .expect("Expected function, got error."))(pfm, hTexRef)
    }
    #[doc = " \\brief Gets the mipmap level bias for a texture reference\n\n \\deprecated\n\n Returns the mipmap level bias in \\p pBias that's added to the specified mipmap\n level when reading memory through the texture reference \\p hTexRef.\n\n \\param pbias   - Returned mipmap level bias\n \\param hTexRef - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetMipmapLevelBias(
        &self,
        pbias: *mut f32,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetMipmapLevelBias
            .as_ref()
            .expect("Expected function, got error."))(pbias, hTexRef)
    }
    #[doc = " \\brief Gets the min/max mipmap level clamps for a texture reference\n\n \\deprecated\n\n Returns the min/max mipmap level clamps in \\p pminMipmapLevelClamp and \\p pmaxMipmapLevelClamp\n that's used when reading memory through the texture reference \\p hTexRef.\n\n \\param pminMipmapLevelClamp - Returned mipmap min level clamp\n \\param pmaxMipmapLevelClamp - Returned mipmap max level clamp\n \\param hTexRef              - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetMipmapLevelClamp(
        &self,
        pminMipmapLevelClamp: *mut f32,
        pmaxMipmapLevelClamp: *mut f32,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetMipmapLevelClamp
            .as_ref()
            .expect("Expected function, got error."))(
            pminMipmapLevelClamp,
            pmaxMipmapLevelClamp,
            hTexRef,
        )
    }
    #[doc = " \\brief Gets the maximum anisotropy for a texture reference\n\n \\deprecated\n\n Returns the maximum anisotropy in \\p pmaxAniso that's used when reading memory through\n the texture reference \\p hTexRef.\n\n \\param pmaxAniso - Returned maximum anisotropy\n \\param hTexRef   - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetMaxAnisotropy(
        &self,
        pmaxAniso: *mut ::std::os::raw::c_int,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetMaxAnisotropy
            .as_ref()
            .expect("Expected function, got error."))(pmaxAniso, hTexRef)
    }
    #[doc = " \\brief Gets the border color used by a texture reference\n\n \\deprecated\n\n Returns in \\p pBorderColor, values of the RGBA color used by\n the texture reference \\p hTexRef.\n The color value is of type float and holds color components in\n the following sequence:\n pBorderColor[0] holds 'R' component\n pBorderColor[1] holds 'G' component\n pBorderColor[2] holds 'B' component\n pBorderColor[3] holds 'A' component\n\n \\param hTexRef  - Texture reference\n \\param pBorderColor   - Returned Type and Value of RGBA color\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddressMode,\n ::cuTexRefSetAddressMode, ::cuTexRefSetBorderColor"]
    pub unsafe fn cuTexRefGetBorderColor(
        &self,
        pBorderColor: *mut f32,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetBorderColor
            .as_ref()
            .expect("Expected function, got error."))(pBorderColor, hTexRef)
    }
    #[doc = " \\brief Gets the flags used by a texture reference\n\n \\deprecated\n\n Returns in \\p *pFlags the flags of the texture reference \\p hTexRef.\n\n \\param pFlags  - Returned flags\n \\param hTexRef - Texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefSetAddress,\n ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,\n ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,\n ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,\n ::cuTexRefGetFilterMode, ::cuTexRefGetFormat"]
    pub unsafe fn cuTexRefGetFlags(
        &self,
        pFlags: *mut ::std::os::raw::c_uint,
        hTexRef: CUtexref,
    ) -> CUresult {
        (self
            .cuTexRefGetFlags
            .as_ref()
            .expect("Expected function, got error."))(pFlags, hTexRef)
    }
    #[doc = " \\brief Creates a texture reference\n\n \\deprecated\n\n Creates a texture reference and returns its handle in \\p *pTexRef. Once\n created, the application must call ::cuTexRefSetArray() or\n ::cuTexRefSetAddress() to associate the reference with allocated memory.\n Other texture reference functions are used to specify the format and\n interpretation (addressing, filtering, etc.) to be used when the memory is\n read through this texture reference.\n\n \\param pTexRef - Returned texture reference\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefDestroy"]
    pub unsafe fn cuTexRefCreate(&self, pTexRef: *mut CUtexref) -> CUresult {
        (self
            .cuTexRefCreate
            .as_ref()
            .expect("Expected function, got error."))(pTexRef)
    }
    #[doc = " \\brief Destroys a texture reference\n\n \\deprecated\n\n Destroys the texture reference specified by \\p hTexRef.\n\n \\param hTexRef - Texture reference to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuTexRefCreate"]
    pub unsafe fn cuTexRefDestroy(&self, hTexRef: CUtexref) -> CUresult {
        (self
            .cuTexRefDestroy
            .as_ref()
            .expect("Expected function, got error."))(hTexRef)
    }
    #[doc = " \\brief Sets the CUDA array for a surface reference.\n\n \\deprecated\n\n Sets the CUDA array \\p hArray to be read and written by the surface reference\n \\p hSurfRef.  Any previous CUDA array state associated with the surface\n reference is superseded by this function.  \\p Flags must be set to 0.\n The ::CUDA_ARRAY3D_SURFACE_LDST flag must have been set for the CUDA array.\n Any CUDA array previously bound to \\p hSurfRef is unbound.\n\n \\param hSurfRef - Surface reference handle\n \\param hArray - CUDA array handle\n \\param Flags - set to 0\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuModuleGetSurfRef,\n ::cuSurfRefGetArray"]
    pub unsafe fn cuSurfRefSetArray(
        &self,
        hSurfRef: CUsurfref,
        hArray: CUarray,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuSurfRefSetArray
            .as_ref()
            .expect("Expected function, got error."))(hSurfRef, hArray, Flags)
    }
    #[doc = " \\brief Passes back the CUDA array bound to a surface reference.\n\n \\deprecated\n\n Returns in \\p *phArray the CUDA array bound to the surface reference\n \\p hSurfRef, or returns ::CUDA_ERROR_INVALID_VALUE if the surface reference\n is not bound to any CUDA array.\n\n \\param phArray - Surface reference handle\n \\param hSurfRef - Surface reference handle\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa ::cuModuleGetSurfRef, ::cuSurfRefSetArray"]
    pub unsafe fn cuSurfRefGetArray(&self, phArray: *mut CUarray, hSurfRef: CUsurfref) -> CUresult {
        (self
            .cuSurfRefGetArray
            .as_ref()
            .expect("Expected function, got error."))(phArray, hSurfRef)
    }
    #[doc = " \\brief Creates a texture object\n\n Creates a texture object and returns it in \\p pTexObject. \\p pResDesc describes\n the data to texture from. \\p pTexDesc describes how the data should be sampled.\n \\p pResViewDesc is an optional argument that specifies an alternate format for\n the data described by \\p pResDesc, and also describes the subresource region\n to restrict access to when texturing. \\p pResViewDesc can only be specified if\n the type of resource is a CUDA array or a CUDA mipmapped array.\n\n Texture objects are only supported on devices of compute capability 3.0 or higher.\n Additionally, a texture object is an opaque value, and, as such, should only be\n accessed through CUDA API calls.\n\n The ::CUDA_RESOURCE_DESC structure is defined as:\n \\code\ntypedef struct CUDA_RESOURCE_DESC_st\n{\nCUresourcetype resType;\n\nunion {\nstruct {\nCUarray hArray;\n} array;\nstruct {\nCUmipmappedArray hMipmappedArray;\n} mipmap;\nstruct {\nCUdeviceptr devPtr;\nCUarray_format format;\nunsigned int numChannels;\nsize_t sizeInBytes;\n} linear;\nstruct {\nCUdeviceptr devPtr;\nCUarray_format format;\nunsigned int numChannels;\nsize_t width;\nsize_t height;\nsize_t pitchInBytes;\n} pitch2D;\n} res;\n\nunsigned int flags;\n} CUDA_RESOURCE_DESC;\n\n \\endcode\n where:\n - ::CUDA_RESOURCE_DESC::resType specifies the type of resource to texture from.\n CUresourceType is defined as:\n \\code\ntypedef enum CUresourcetype_enum {\nCU_RESOURCE_TYPE_ARRAY           = 0x00,\nCU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 0x01,\nCU_RESOURCE_TYPE_LINEAR          = 0x02,\nCU_RESOURCE_TYPE_PITCH2D         = 0x03\n} CUresourcetype;\n \\endcode\n\n \\par\n If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_ARRAY, ::CUDA_RESOURCE_DESC::res::array::hArray\n must be set to a valid CUDA array handle.\n\n \\par\n If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_MIPMAPPED_ARRAY, ::CUDA_RESOURCE_DESC::res::mipmap::hMipmappedArray\n must be set to a valid CUDA mipmapped array handle.\n\n \\par\n If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_LINEAR, ::CUDA_RESOURCE_DESC::res::linear::devPtr\n must be set to a valid device pointer, that is aligned to ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT.\n ::CUDA_RESOURCE_DESC::res::linear::format and ::CUDA_RESOURCE_DESC::res::linear::numChannels\n describe the format of each component and the number of components per array element. ::CUDA_RESOURCE_DESC::res::linear::sizeInBytes\n specifies the size of the array in bytes. The total number of elements in the linear address range cannot exceed\n ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH. The number of elements is computed as (sizeInBytes / (sizeof(format) * numChannels)).\n\n \\par\n If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_PITCH2D, ::CUDA_RESOURCE_DESC::res::pitch2D::devPtr\n must be set to a valid device pointer, that is aligned to ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT.\n ::CUDA_RESOURCE_DESC::res::pitch2D::format and ::CUDA_RESOURCE_DESC::res::pitch2D::numChannels\n describe the format of each component and the number of components per array element. ::CUDA_RESOURCE_DESC::res::pitch2D::width\n and ::CUDA_RESOURCE_DESC::res::pitch2D::height specify the width and height of the array in elements, and cannot exceed\n ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH and ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT respectively.\n ::CUDA_RESOURCE_DESC::res::pitch2D::pitchInBytes specifies the pitch between two rows in bytes and has to be aligned to\n ::CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT. Pitch cannot exceed ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH.\n\n - ::flags must be set to zero.\n\n\n The ::CUDA_TEXTURE_DESC struct is defined as\n \\code\ntypedef struct CUDA_TEXTURE_DESC_st {\nCUaddress_mode addressMode[3];\nCUfilter_mode filterMode;\nunsigned int flags;\nunsigned int maxAnisotropy;\nCUfilter_mode mipmapFilterMode;\nfloat mipmapLevelBias;\nfloat minMipmapLevelClamp;\nfloat maxMipmapLevelClamp;\n} CUDA_TEXTURE_DESC;\n \\endcode\n where\n - ::CUDA_TEXTURE_DESC::addressMode specifies the addressing mode for each dimension of the texture data. ::CUaddress_mode is defined as:\n   \\code\ntypedef enum CUaddress_mode_enum {\nCU_TR_ADDRESS_MODE_WRAP = 0,\nCU_TR_ADDRESS_MODE_CLAMP = 1,\nCU_TR_ADDRESS_MODE_MIRROR = 2,\nCU_TR_ADDRESS_MODE_BORDER = 3\n} CUaddress_mode;\n   \\endcode\n   This is ignored if ::CUDA_RESOURCE_DESC::resType is ::CU_RESOURCE_TYPE_LINEAR. Also, if the flag, ::CU_TRSF_NORMALIZED_COORDINATES\n   is not set, the only supported address mode is ::CU_TR_ADDRESS_MODE_CLAMP.\n\n - ::CUDA_TEXTURE_DESC::filterMode specifies the filtering mode to be used when fetching from the texture. CUfilter_mode is defined as:\n   \\code\ntypedef enum CUfilter_mode_enum {\nCU_TR_FILTER_MODE_POINT = 0,\nCU_TR_FILTER_MODE_LINEAR = 1\n} CUfilter_mode;\n   \\endcode\n   This is ignored if ::CUDA_RESOURCE_DESC::resType is ::CU_RESOURCE_TYPE_LINEAR.\n\n - ::CUDA_TEXTURE_DESC::flags can be any combination of the following:\n   - ::CU_TRSF_READ_AS_INTEGER, which suppresses the default behavior of\n   having the texture promote integer data to floating point data in the\n   range [0, 1]. Note that texture with 32-bit integer format would not be\n   promoted, regardless of whether or not this flag is specified.\n   - ::CU_TRSF_NORMALIZED_COORDINATES, which suppresses the default behavior\n   of having the texture coordinates range from [0, Dim) where Dim is the\n   width or height of the CUDA array. Instead, the texture coordinates\n   [0, 1.0) reference the entire breadth of the array dimension; Note that\n   for CUDA mipmapped arrays, this flag has to be set.\n   - ::CU_TRSF_DISABLE_TRILINEAR_OPTIMIZATION, which disables any trilinear\n   filtering optimizations. Trilinear optimizations improve texture filtering\n   performance by allowing bilinear filtering on textures in scenarios where\n   it can closely approximate the expected results.\n   - ::CU_TRSF_SEAMLESS_CUBEMAP, which enables seamless cube map filtering.\n   This flag can only be specified if the underlying resource is a CUDA array\n   or a CUDA mipmapped array that was created with the flag ::CUDA_ARRAY3D_CUBEMAP.\n   When seamless cube map filtering is enabled, texture address modes specified\n   by ::CUDA_TEXTURE_DESC::addressMode are ignored. Instead, if the ::CUDA_TEXTURE_DESC::filterMode\n   is set to ::CU_TR_FILTER_MODE_POINT the address mode ::CU_TR_ADDRESS_MODE_CLAMP\n   will be applied for all dimensions. If the ::CUDA_TEXTURE_DESC::filterMode is\n   set to ::CU_TR_FILTER_MODE_LINEAR seamless cube map filtering will be performed\n   when sampling along the cube face borders.\n\n - ::CUDA_TEXTURE_DESC::maxAnisotropy specifies the maximum anisotropy ratio to be used when doing anisotropic filtering. This value will be\n   clamped to the range [1,16].\n\n - ::CUDA_TEXTURE_DESC::mipmapFilterMode specifies the filter mode when the calculated mipmap level lies between two defined mipmap levels.\n\n - ::CUDA_TEXTURE_DESC::mipmapLevelBias specifies the offset to be applied to the calculated mipmap level.\n\n - ::CUDA_TEXTURE_DESC::minMipmapLevelClamp specifies the lower end of the mipmap level range to clamp access to.\n\n - ::CUDA_TEXTURE_DESC::maxMipmapLevelClamp specifies the upper end of the mipmap level range to clamp access to.\n\n\n The ::CUDA_RESOURCE_VIEW_DESC struct is defined as\n \\code\ntypedef struct CUDA_RESOURCE_VIEW_DESC_st\n{\nCUresourceViewFormat format;\nsize_t width;\nsize_t height;\nsize_t depth;\nunsigned int firstMipmapLevel;\nunsigned int lastMipmapLevel;\nunsigned int firstLayer;\nunsigned int lastLayer;\n} CUDA_RESOURCE_VIEW_DESC;\n \\endcode\n where:\n - ::CUDA_RESOURCE_VIEW_DESC::format specifies how the data contained in the CUDA array or CUDA mipmapped array should\n   be interpreted. Note that this can incur a change in size of the texture data. If the resource view format is a block\n   compressed format, then the underlying CUDA array or CUDA mipmapped array has to have a base of format ::CU_AD_FORMAT_UNSIGNED_INT32.\n   with 2 or 4 channels, depending on the block compressed format. For ex., BC1 and BC4 require the underlying CUDA array to have\n   a format of ::CU_AD_FORMAT_UNSIGNED_INT32 with 2 channels. The other BC formats require the underlying resource to have the same base\n   format but with 4 channels.\n\n - ::CUDA_RESOURCE_VIEW_DESC::width specifies the new width of the texture data. If the resource view format is a block\n   compressed format, this value has to be 4 times the original width of the resource. For non block compressed formats,\n   this value has to be equal to that of the original resource.\n\n - ::CUDA_RESOURCE_VIEW_DESC::height specifies the new height of the texture data. If the resource view format is a block\n   compressed format, this value has to be 4 times the original height of the resource. For non block compressed formats,\n   this value has to be equal to that of the original resource.\n\n - ::CUDA_RESOURCE_VIEW_DESC::depth specifies the new depth of the texture data. This value has to be equal to that of the\n   original resource.\n\n - ::CUDA_RESOURCE_VIEW_DESC::firstMipmapLevel specifies the most detailed mipmap level. This will be the new mipmap level zero.\n   For non-mipmapped resources, this value has to be zero.::CUDA_TEXTURE_DESC::minMipmapLevelClamp and ::CUDA_TEXTURE_DESC::maxMipmapLevelClamp\n   will be relative to this value. For ex., if the firstMipmapLevel is set to 2, and a minMipmapLevelClamp of 1.2 is specified,\n   then the actual minimum mipmap level clamp will be 3.2.\n\n - ::CUDA_RESOURCE_VIEW_DESC::lastMipmapLevel specifies the least detailed mipmap level. For non-mipmapped resources, this value\n   has to be zero.\n\n - ::CUDA_RESOURCE_VIEW_DESC::firstLayer specifies the first layer index for layered textures. This will be the new layer zero.\n   For non-layered resources, this value has to be zero.\n\n - ::CUDA_RESOURCE_VIEW_DESC::lastLayer specifies the last layer index for layered textures. For non-layered resources,\n   this value has to be zero.\n\n\n \\param pTexObject   - Texture object to create\n \\param pResDesc     - Resource descriptor\n \\param pTexDesc     - Texture descriptor\n \\param pResViewDesc - Resource view descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexObjectDestroy,\n ::cudaCreateTextureObject"]
    pub unsafe fn cuTexObjectCreate(
        &self,
        pTexObject: *mut CUtexObject,
        pResDesc: *const CUDA_RESOURCE_DESC,
        pTexDesc: *const CUDA_TEXTURE_DESC,
        pResViewDesc: *const CUDA_RESOURCE_VIEW_DESC,
    ) -> CUresult {
        (self
            .cuTexObjectCreate
            .as_ref()
            .expect("Expected function, got error."))(
            pTexObject, pResDesc, pTexDesc, pResViewDesc
        )
    }
    #[doc = " \\brief Destroys a texture object\n\n Destroys the texture object specified by \\p texObject.\n\n \\param texObject - Texture object to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexObjectCreate,\n ::cudaDestroyTextureObject"]
    pub unsafe fn cuTexObjectDestroy(&self, texObject: CUtexObject) -> CUresult {
        (self
            .cuTexObjectDestroy
            .as_ref()
            .expect("Expected function, got error."))(texObject)
    }
    #[doc = " \\brief Returns a texture object's resource descriptor\n\n Returns the resource descriptor for the texture object specified by \\p texObject.\n\n \\param pResDesc  - Resource descriptor\n \\param texObject - Texture object\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexObjectCreate,\n ::cudaGetTextureObjectResourceDesc,"]
    pub unsafe fn cuTexObjectGetResourceDesc(
        &self,
        pResDesc: *mut CUDA_RESOURCE_DESC,
        texObject: CUtexObject,
    ) -> CUresult {
        (self
            .cuTexObjectGetResourceDesc
            .as_ref()
            .expect("Expected function, got error."))(pResDesc, texObject)
    }
    #[doc = " \\brief Returns a texture object's texture descriptor\n\n Returns the texture descriptor for the texture object specified by \\p texObject.\n\n \\param pTexDesc  - Texture descriptor\n \\param texObject - Texture object\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexObjectCreate,\n ::cudaGetTextureObjectTextureDesc"]
    pub unsafe fn cuTexObjectGetTextureDesc(
        &self,
        pTexDesc: *mut CUDA_TEXTURE_DESC,
        texObject: CUtexObject,
    ) -> CUresult {
        (self
            .cuTexObjectGetTextureDesc
            .as_ref()
            .expect("Expected function, got error."))(pTexDesc, texObject)
    }
    #[doc = " \\brief Returns a texture object's resource view descriptor\n\n Returns the resource view descriptor for the texture object specified by \\p texObject.\n If no resource view was set for \\p texObject, the ::CUDA_ERROR_INVALID_VALUE is returned.\n\n \\param pResViewDesc - Resource view descriptor\n \\param texObject    - Texture object\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTexObjectCreate,\n ::cudaGetTextureObjectResourceViewDesc"]
    pub unsafe fn cuTexObjectGetResourceViewDesc(
        &self,
        pResViewDesc: *mut CUDA_RESOURCE_VIEW_DESC,
        texObject: CUtexObject,
    ) -> CUresult {
        (self
            .cuTexObjectGetResourceViewDesc
            .as_ref()
            .expect("Expected function, got error."))(pResViewDesc, texObject)
    }
    #[doc = " \\brief Creates a surface object\n\n Creates a surface object and returns it in \\p pSurfObject. \\p pResDesc describes\n the data to perform surface load/stores on. ::CUDA_RESOURCE_DESC::resType must be\n ::CU_RESOURCE_TYPE_ARRAY and  ::CUDA_RESOURCE_DESC::res::array::hArray\n must be set to a valid CUDA array handle. ::CUDA_RESOURCE_DESC::flags must be set to zero.\n\n Surface objects are only supported on devices of compute capability 3.0 or higher.\n Additionally, a surface object is an opaque value, and, as such, should only be\n accessed through CUDA API calls.\n\n \\param pSurfObject - Surface object to create\n \\param pResDesc    - Resource descriptor\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuSurfObjectDestroy,\n ::cudaCreateSurfaceObject"]
    pub unsafe fn cuSurfObjectCreate(
        &self,
        pSurfObject: *mut CUsurfObject,
        pResDesc: *const CUDA_RESOURCE_DESC,
    ) -> CUresult {
        (self
            .cuSurfObjectCreate
            .as_ref()
            .expect("Expected function, got error."))(pSurfObject, pResDesc)
    }
    #[doc = " \\brief Destroys a surface object\n\n Destroys the surface object specified by \\p surfObject.\n\n \\param surfObject - Surface object to destroy\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuSurfObjectCreate,\n ::cudaDestroySurfaceObject"]
    pub unsafe fn cuSurfObjectDestroy(&self, surfObject: CUsurfObject) -> CUresult {
        (self
            .cuSurfObjectDestroy
            .as_ref()
            .expect("Expected function, got error."))(surfObject)
    }
    #[doc = " \\brief Returns a surface object's resource descriptor\n\n Returns the resource descriptor for the surface object specified by \\p surfObject.\n\n \\param pResDesc   - Resource descriptor\n \\param surfObject - Surface object\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuSurfObjectCreate,\n ::cudaGetSurfaceObjectResourceDesc"]
    pub unsafe fn cuSurfObjectGetResourceDesc(
        &self,
        pResDesc: *mut CUDA_RESOURCE_DESC,
        surfObject: CUsurfObject,
    ) -> CUresult {
        (self
            .cuSurfObjectGetResourceDesc
            .as_ref()
            .expect("Expected function, got error."))(pResDesc, surfObject)
    }
    #[doc = " \\brief Create a tensor map descriptor object representing tiled memory region\n\n Creates a descriptor for Tensor Memory Access (TMA) object specified\n by the parameters describing a tiled region and returns it in \\p tensorMap.\n\n Tensor map objects are only supported on devices of compute capability 9.0 or higher.\n Additionally, a tensor map object is an opaque value, and, as such, should only be\n accessed through CUDA API calls.\n\n The parameters passed are bound to the following requirements:\n\n - \\p tensorMap address must be aligned to 64 bytes.\n\n - \\p tensorDataType has to be an enum from ::CUtensorMapDataType which is defined as:\n \\code\ntypedef enum CUtensorMapDataType_enum {\nCU_TENSOR_MAP_DATA_TYPE_UINT8 = 0,       // 1 byte\nCU_TENSOR_MAP_DATA_TYPE_UINT16,          // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_UINT32,          // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_INT32,           // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_UINT64,          // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_INT64,           // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT16,         // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT32,         // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT64,         // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_BFLOAT16,        // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT32_FTZ,     // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_TFLOAT32,        // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_TFLOAT32_FTZ     // 4 bytes\n} CUtensorMapDataType;\n \\endcode\n\n - \\p tensorRank must be non-zero and less than or equal to the maximum supported dimensionality of 5. If \\p interleave is not\n ::CU_TENSOR_MAP_INTERLEAVE_NONE, then \\p tensorRank must additionally be greater than or equal to 3.\n\n - \\p globalAddress, which specifies the starting address of the memory region described, must be 32 byte aligned when \\p interleave is\n ::CU_TENSOR_MAP_INTERLEAVE_32B and 16 byte aligned otherwise.\n\n - \\p globalDim array, which specifies tensor size of each of the \\p tensorRank dimensions, must be non-zero and less than or\n equal to 2^32.\n\n - \\p globalStrides array, which specifies tensor stride of each of the lower \\p tensorRank - 1 dimensions in bytes, must be a\n multiple of 16 and less than 2^40. Additionally, the stride must be a multiple of 32 when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_32B.\n Each following dimension specified includes previous dimension stride:\n \\code\nglobalStrides[0] = globalDim[0] * elementSizeInBytes(tensorDataType) + padding[0];\nfor (i = 1; i < tensorRank - 1; i++)\nglobalStrides[i] = globalStrides[i – 1] * globalStrides[i] + padding[i];\nassert(globalStrides[i] >= globalDim[i]);\n \\endcode\n\n - \\p boxDim array, which specifies number of elements to be traversed along each of the \\p tensorRank dimensions, must be less\n than or equal to 8.\n When \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_NONE, { \\p boxDim[0] * elementSizeInBytes( \\p tensorDataType ) } must be a multiple\n of 16 bytes.\n\n - \\p elementStrides array, which specifies the iteration step along each of the \\p tensorRank dimensions, must be non-zero and less\n than or equal to 8. Note that when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_NONE, the first element of this array is ignored since\n TMA doesn’t support the stride for dimension zero.\n When all elemets of \\p elementStrides array is one, \\p boxDim specifies the number of elements to load. However, if the \\p elementStrides[i]\n is not equal to one, then TMA loads ceil( \\p boxDim[i] / \\p elementStrides[i]) number of elements along i-th dimension. To load N elements along\n i-th dimension, \\p boxDim[i] must be set to N * \\p elementStrides[i].\n\n - \\p interleave specifies the interleaved layout of type ::CUtensorMapInterleave, which is defined as:\n \\code\ntypedef enum CUtensorMapInterleave_enum {\nCU_TENSOR_MAP_INTERLEAVE_NONE = 0,\nCU_TENSOR_MAP_INTERLEAVE_16B,\nCU_TENSOR_MAP_INTERLEAVE_32B\n} CUtensorMapInterleave;\n \\endcode\n TMA supports interleaved layouts like NC/8HWC8 where C8 utilizes 16 bytes in memory assuming 2 byte per channel or NC/16HWC16 where C16\n uses 32 bytes.\n When \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_NONE and \\p swizzle is not ::CU_TENSOR_MAP_SWIZZLE_NONE, the bounding box inner dimension\n (computed as \\p boxDim[0] multiplied by element size derived from \\p tensorDataType) must be less than or equal to the swizzle size.\n    - CU_TENSOR_MAP_SWIZZLE_32B implies the bounding box inner dimension will be <= 32.\n    - CU_TENSOR_MAP_SWIZZLE_64B implies the bounding box inner dimension will be <= 64.\n    - CU_TENSOR_MAP_SWIZZLE_128B implies the bounding box inner dimension will be <= 128.\n\n - \\p swizzle, which specifies the shared memory bank swizzling pattern, has to be of type ::CUtensorMapSwizzle which is defined as:\n \\code\ntypedef enum CUtensorMapSwizzle_enum {\nCU_TENSOR_MAP_SWIZZLE_NONE = 0,\nCU_TENSOR_MAP_SWIZZLE_32B,\nCU_TENSOR_MAP_SWIZZLE_64B,\nCU_TENSOR_MAP_SWIZZLE_128B\n} CUtensorMapSwizzle;\n \\endcode\n Data is organized in specific order in global memory; however, it may not match the order in which data are accessed by application in\n the shared memory. This difference in data organization may cause bank conflicts when shared memory is accessed. In order to avoid this\n problem, data can be loaded to shard memory with shuffling across shared memory banks.\n Note that it’s expected that when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_32B, \\p swizzle should be ::CU_TENSOR_MAP_SWIZZLE_32B mode.\n Other interleave modes can have any swizzling patterns.\n\n - \\p l2Promotion specifies L2 fetch size which indicates the byte granurality at which L2 requests is filled from DRAM. It must be of\n type ::CUtensorMapL2promotion, which is defined as:\n \\code\ntypedef enum CUtensorMapL2promotion_enum {\nCU_TENSOR_MAP_L2_PROMOTION_NONE = 0,\nCU_TENSOR_MAP_L2_PROMOTION_L2_64B,\nCU_TENSOR_MAP_L2_PROMOTION_L2_128B,\nCU_TENSOR_MAP_L2_PROMOTION_L2_256B\n} CUtensorMapL2promotion;\n \\endcode\n\n - \\p oobFill, which indicates whether zero or a special NaN constant should be used to fill out-of-bound elements, must be of type\n ::CUtensorMapFloatOOBfill which is defined as:\n \\code\ntypedef enum CUtensorMapFloatOOBfill_enum {\nCU_TENSOR_MAP_FLOAT_OOB_FILL_NONE = 0,\nCU_TENSOR_MAP_FLOAT_OOB_FILL_NAN_REQUEST_ZERO_FMA\n} CUtensorMapFloatOOBfill;\n \\endcode\n Note that ::CU_TENSOR_MAP_FLOAT_OOB_FILL_NAN_REQUEST_ZERO_FMA can only be used when \\p tensorDataType represents a floating data type.\n\n \\param tensorMap         - Tensor map object to create\n \\param tensorDataType    - Tensor data type\n \\param tensorRank        - Dimensionality of tensor\n \\param globalAddress     - Starting address of memory region described by tensor\n \\param globalDim         - Array containing tensor size (number of elements) along each of the \\p tensorRank dimensions\n \\param globalStrides     - Array containing stride size (in bytes) along each of the \\p tensorRank - 1 dimensions\n \\param boxDim            - Array containing traversal box size (number of elments) along each of the \\p tensorRank dimensions. Specifies how many elements to be traversed along each tensor dimension.\n \\param elementStrides    - Array containing traversal stride in each of the \\p tensorRank dimensions\n \\param interleave        - Type of interleaved layout the tensor addresses\n \\param swizzle           - Bank swizzling pattern inside shared memory\n \\param l2Promotion       - L2 promotion size\n \\param oobFill           - Indicate whether zero or special NaN constant must be used to fill out-of-bound elements\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTensorMapEncodeIm2col,\n ::cuTensorMapReplaceAddress"]
    pub unsafe fn cuTensorMapEncodeTiled(
        &self,
        tensorMap: *mut CUtensorMap,
        tensorDataType: CUtensorMapDataType,
        tensorRank: cuuint32_t,
        globalAddress: *mut ::std::os::raw::c_void,
        globalDim: *const cuuint64_t,
        globalStrides: *const cuuint64_t,
        boxDim: *const cuuint32_t,
        elementStrides: *const cuuint32_t,
        interleave: CUtensorMapInterleave,
        swizzle: CUtensorMapSwizzle,
        l2Promotion: CUtensorMapL2promotion,
        oobFill: CUtensorMapFloatOOBfill,
    ) -> CUresult {
        (self
            .cuTensorMapEncodeTiled
            .as_ref()
            .expect("Expected function, got error."))(
            tensorMap,
            tensorDataType,
            tensorRank,
            globalAddress,
            globalDim,
            globalStrides,
            boxDim,
            elementStrides,
            interleave,
            swizzle,
            l2Promotion,
            oobFill,
        )
    }
    #[doc = " \\brief Create a tensor map descriptor object representing im2col memory region\n\n Creates a descriptor for Tensor Memory Access (TMA) object specified\n by the parameters describing a im2col memory layout and returns it in \\p tensorMap.\n\n Tensor map objects are only supported on devices of compute capability 9.0 or higher.\n Additionally, a tensor map object is an opaque value, and, as such, should only be\n accessed through CUDA API calls.\n\n The parameters passed are bound to the following requirements:\n\n - \\p tensorMap address must be aligned to 64 bytes.\n\n - \\p tensorDataType has to be an enum from ::CUtensorMapDataType which is defined as:\n \\code\ntypedef enum CUtensorMapDataType_enum {\nCU_TENSOR_MAP_DATA_TYPE_UINT8 = 0,       // 1 byte\nCU_TENSOR_MAP_DATA_TYPE_UINT16,          // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_UINT32,          // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_INT32,           // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_UINT64,          // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_INT64,           // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT16,         // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT32,         // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT64,         // 8 bytes\nCU_TENSOR_MAP_DATA_TYPE_BFLOAT16,        // 2 bytes\nCU_TENSOR_MAP_DATA_TYPE_FLOAT32_FTZ,     // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_TFLOAT32,        // 4 bytes\nCU_TENSOR_MAP_DATA_TYPE_TFLOAT32_FTZ     // 4 bytes\n} CUtensorMapDataType;\n \\endcode\n\n - \\p tensorRank must be one of dimensions 3, 4, or 5.\n\n - \\p globalAddress, which specifies the starting address of the memory region described, must be 32 byte aligned when \\p interleave is\n ::CU_TENSOR_MAP_INTERLEAVE_32B and 16 byte aligned otherwise.\n\n - \\p globalDim array, which specifies tensor size of each of the \\p tensorRank dimensions, must be non-zero and less than or\n equal to 2^32.\n\n - \\p globalStrides array, which specifies tensor stride of each of the lower \\p tensorRank - 1 dimensions in bytes, must be a\n multiple of 16 and less than 2^40. Additionally, the stride must be a multiple of 32 when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_32B.\n Each following dimension specified includes previous dimension stride:\n \\code\nglobalStrides[0] = globalDim[0] * elementSizeInBytes(tensorDataType) + padding[0];\nfor (i = 1; i < tensorRank - 1; i++)\nglobalStrides[i] = globalStrides[i – 1] * globalStrides[i] + padding[i];\nassert(globalStrides[i] >= globalDim[i]);\n \\endcode\n\n - \\p pixelBoxLowerCorner array specifies the coordinate offsets {D, H, W} of the bounding box from top/left/front corner. The number of\n offsets and their precision depends on the tensor dimensionality:\n    - When \\p tensorRank is 3, one signed offset within range [-32768, 32767] is supported.\n    - When \\p tensorRank is 4, two signed offsets each within range [-128, 127] are supported.\n    - When \\p tensorRank is 5, three offsets each within range [-16, 15] are supported.\n\n - \\p pixelBoxUpperCorner array specifies the coordinate offsets {D, H, W} of the bounding box from bottom/right/back corner. The number of\n offsets and their precision depends on the tensor dimensionality:\n    - When \\p tensorRank is 3, one signed offset within range [-32768, 32767] is supported.\n    - When \\p tensorRank is 4, two signed offsets each within range [-128, 127] are supported.\n    - When \\p tensorRank is 5, three offsets each within range [-16, 15] are supported.\n The bounding box specified by \\p pixelBoxLowerCorner and \\p pixelBoxUpperCorner must have non-zero area.\n\n - \\p channelsPerPixel, which specifies the number of elements which must be accessed along C dimension, must be less than or equal to 256.\n\n - \\p pixelsPerColumn, which specifies the number of elements that must be accessed along the {N, D, H, W} dimensions, must be less than or\n equal to 1024.\n\n - \\p elementStrides array, which specifies the iteration step along each of the \\p tensorRank dimensions, must be non-zero and less\n than or equal to 8. Note that when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_NONE, the first element of this array is ignored since\n TMA doesn’t support the stride for dimension zero.\n When all elemets of \\p elementStrides array is one, \\p boxDim specifies the number of elements to load. However, if the \\p elementStrides[i]\n is not equal to one, then TMA loads ceil( \\p boxDim[i] / \\p elementStrides[i]) number of elements along i-th dimension. To load N elements along\n i-th dimension, \\p boxDim[i] must be set to N * \\p elementStrides[i].\n\n - \\p interleave specifies the interleaved layout of type ::CUtensorMapInterleave, which is defined as:\n \\code\ntypedef enum CUtensorMapInterleave_enum {\nCU_TENSOR_MAP_INTERLEAVE_NONE = 0,\nCU_TENSOR_MAP_INTERLEAVE_16B,\nCU_TENSOR_MAP_INTERLEAVE_32B\n} CUtensorMapInterleave;\n \\endcode\n TMA supports interleaved layouts like NC/8HWC8 where C8 utilizes 16 bytes in memory assuming 2 byte per channel or NC/16HWC16 where C16\n uses 32 bytes.\n When \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_NONE and \\p swizzle is not ::CU_TENSOR_MAP_SWIZZLE_NONE, the bounding box inner dimension\n (computed as \\p boxDim[0] multiplied by element size derived from \\p tensorDataType) must be less than or equal to the swizzle size.\n    - CU_TENSOR_MAP_SWIZZLE_32B implies the bounding box inner dimension will be <= 32.\n    - CU_TENSOR_MAP_SWIZZLE_64B implies the bounding box inner dimension will be <= 64.\n    - CU_TENSOR_MAP_SWIZZLE_128B implies the bounding box inner dimension will be <= 128.\n\n - \\p swizzle, which specifies the shared memory bank swizzling pattern, has to be of type ::CUtensorMapSwizzle which is defined as:\n \\code\ntypedef enum CUtensorMapSwizzle_enum {\nCU_TENSOR_MAP_SWIZZLE_NONE = 0,\nCU_TENSOR_MAP_SWIZZLE_32B,\nCU_TENSOR_MAP_SWIZZLE_64B,\nCU_TENSOR_MAP_SWIZZLE_128B\n} CUtensorMapSwizzle;\n \\endcode\n Data is organized in specific order in global memory; however, it may not match the order in which data are accessed by application in\n the shared memory. This difference in data organization may cause bank conflicts when shared memory is accessed. In order to avoid this\n problem, data can be loaded to shard memory with shuffling across shared memory banks.\n Note that it’s expected that when \\p interleave is ::CU_TENSOR_MAP_INTERLEAVE_32B, \\p swizzle should be ::CU_TENSOR_MAP_SWIZZLE_32B mode.\n Other interleave modes can have any swizzling patterns.\n\n - \\p l2Promotion specifies L2 fetch size which indicates the byte granurality at which L2 requests is filled from DRAM. It must be of\n type ::CUtensorMapL2promotion, which is defined as:\n \\code\ntypedef enum CUtensorMapL2promotion_enum {\nCU_TENSOR_MAP_L2_PROMOTION_NONE = 0,\nCU_TENSOR_MAP_L2_PROMOTION_L2_64B,\nCU_TENSOR_MAP_L2_PROMOTION_L2_128B,\nCU_TENSOR_MAP_L2_PROMOTION_L2_256B\n} CUtensorMapL2promotion;\n \\endcode\n\n - \\p oobFill, which indicates whether zero or a special NaN constant should be used to fill out-of-bound elements, must be of type\n ::CUtensorMapFloatOOBfill which is defined as:\n \\code\ntypedef enum CUtensorMapFloatOOBfill_enum {\nCU_TENSOR_MAP_FLOAT_OOB_FILL_NONE = 0,\nCU_TENSOR_MAP_FLOAT_OOB_FILL_NAN_REQUEST_ZERO_FMA\n} CUtensorMapFloatOOBfill;\n \\endcode\n Note that ::CU_TENSOR_MAP_FLOAT_OOB_FILL_NAN_REQUEST_ZERO_FMA can only be used when \\p tensorDataType represents a floating data type.\n\n \\param tensorMap             - Tensor map object to create\n \\param tensorDataType        - Tensor data type\n \\param tensorRank            - Dimensionality of tensor, needs to be at least of dimension 3\n \\param globalAddress         - Starting address of memory region described by tensor\n \\param globalDim             - Array containing tensor size (number of elements) along each of the \\p tensorRank dimensions\n \\param globalStrides         - Array containing stride size (in bytes) along each of the \\p tensorRank - 1 dimensions\n \\param pixelBoxLowerCorner   - Array containing DHW dimentions of lower box corner\n \\param pixelBoxUpperCorner   - Array containing DHW dimentions of upper box corner\n \\param channelsPerPixel      - Number of channels per pixel\n \\param pixelsPerColumn       - Number of pixels per column\n \\param elementStrides        - Array containing traversal stride in each of the \\p tensorRank dimensions\n \\param interleave            - Type of interleaved layout the tensor addresses\n \\param swizzle               - Bank swizzling pattern inside shared memory\n \\param l2Promotion           - L2 promotion size\n \\param oobFill               - Indicate whether zero or special NaN constant must be used to fill out-of-bound elements\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTensorMapEncodeTiled,\n ::cuTensorMapReplaceAddress"]
    pub unsafe fn cuTensorMapEncodeIm2col(
        &self,
        tensorMap: *mut CUtensorMap,
        tensorDataType: CUtensorMapDataType,
        tensorRank: cuuint32_t,
        globalAddress: *mut ::std::os::raw::c_void,
        globalDim: *const cuuint64_t,
        globalStrides: *const cuuint64_t,
        pixelBoxLowerCorner: *const ::std::os::raw::c_int,
        pixelBoxUpperCorner: *const ::std::os::raw::c_int,
        channelsPerPixel: cuuint32_t,
        pixelsPerColumn: cuuint32_t,
        elementStrides: *const cuuint32_t,
        interleave: CUtensorMapInterleave,
        swizzle: CUtensorMapSwizzle,
        l2Promotion: CUtensorMapL2promotion,
        oobFill: CUtensorMapFloatOOBfill,
    ) -> CUresult {
        (self
            .cuTensorMapEncodeIm2col
            .as_ref()
            .expect("Expected function, got error."))(
            tensorMap,
            tensorDataType,
            tensorRank,
            globalAddress,
            globalDim,
            globalStrides,
            pixelBoxLowerCorner,
            pixelBoxUpperCorner,
            channelsPerPixel,
            pixelsPerColumn,
            elementStrides,
            interleave,
            swizzle,
            l2Promotion,
            oobFill,
        )
    }
    #[doc = " \\brief Modify an existing tensor map descriptor with an updated global address\n\n Modifies the descriptor for Tensor Memory Access (TMA) object passed in \\p tensorMap with\n an updated \\p globalAddress.\n\n Tensor map objects are only supported on devices of compute capability 9.0 or higher.\n Additionally, a tensor map object is an opaque value, and, as such, should only be\n accessed through CUDA API calls.\n\n \\param tensorMap             - Tensor map object to modify\n \\param globalAddress         - Starting address of memory region described by tensor, must follow previous alignment requirements\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE\n\n \\sa\n ::cuTensorMapEncodeTiled,\n ::cuTensorMapEncodeIm2col"]
    pub unsafe fn cuTensorMapReplaceAddress(
        &self,
        tensorMap: *mut CUtensorMap,
        globalAddress: *mut ::std::os::raw::c_void,
    ) -> CUresult {
        (self
            .cuTensorMapReplaceAddress
            .as_ref()
            .expect("Expected function, got error."))(tensorMap, globalAddress)
    }
    #[doc = " \\brief Queries if a device may directly access a peer device's memory.\n\n Returns in \\p *canAccessPeer a value of 1 if contexts on \\p dev are capable of\n directly accessing memory from contexts on \\p peerDev and 0 otherwise.\n If direct access of \\p peerDev from \\p dev is possible, then access may be\n enabled on two specific contexts by calling ::cuCtxEnablePeerAccess().\n\n \\param canAccessPeer - Returned access capability\n \\param dev           - Device from which allocations on \\p peerDev are to\n                        be directly accessed.\n \\param peerDev       - Device on which the allocations to be directly accessed\n                        by \\p dev reside.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_DEVICE\n \\notefnerr\n\n \\sa\n ::cuCtxEnablePeerAccess,\n ::cuCtxDisablePeerAccess,\n ::cudaDeviceCanAccessPeer"]
    pub unsafe fn cuDeviceCanAccessPeer(
        &self,
        canAccessPeer: *mut ::std::os::raw::c_int,
        dev: CUdevice,
        peerDev: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceCanAccessPeer
            .as_ref()
            .expect("Expected function, got error."))(canAccessPeer, dev, peerDev)
    }
    #[doc = " \\brief Enables direct access to memory allocations in a peer context.\n\n If both the current context and \\p peerContext are on devices which support unified\n addressing (as may be queried using ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING) and same\n major compute capability, then on success all allocations from \\p peerContext will\n immediately be accessible by the current context.  See \\ref CUDA_UNIFIED for additional\n details.\n\n Note that access granted by this call is unidirectional and that in order to access\n memory from the current context in \\p peerContext, a separate symmetric call\n to ::cuCtxEnablePeerAccess() is required.\n\n Note that there are both device-wide and system-wide limitations per system\n configuration, as noted in the CUDA Programming Guide under the section\n \"Peer-to-Peer Memory Access\".\n\n Returns ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED if ::cuDeviceCanAccessPeer() indicates\n that the ::CUdevice of the current context cannot directly access memory\n from the ::CUdevice of \\p peerContext.\n\n Returns ::CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED if direct access of\n \\p peerContext from the current context has already been enabled.\n\n Returns ::CUDA_ERROR_TOO_MANY_PEERS if direct peer access is not possible\n because hardware resources required for peer access have been exhausted.\n\n Returns ::CUDA_ERROR_INVALID_CONTEXT if there is no current context, \\p peerContext\n is not a valid context, or if the current context is \\p peerContext.\n\n Returns ::CUDA_ERROR_INVALID_VALUE if \\p Flags is not 0.\n\n \\param peerContext - Peer context to enable direct access to from the current context\n \\param Flags       - Reserved for future use and must be set to 0\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED,\n ::CUDA_ERROR_TOO_MANY_PEERS,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cuDeviceCanAccessPeer,\n ::cuCtxDisablePeerAccess,\n ::cudaDeviceEnablePeerAccess"]
    pub unsafe fn cuCtxEnablePeerAccess(
        &self,
        peerContext: CUcontext,
        Flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuCtxEnablePeerAccess
            .as_ref()
            .expect("Expected function, got error."))(peerContext, Flags)
    }
    #[doc = " \\brief Disables direct access to memory allocations in a peer context and\n unregisters any registered allocations.\n\nReturns ::CUDA_ERROR_PEER_ACCESS_NOT_ENABLED if direct peer access has\n not yet been enabled from \\p peerContext to the current context.\n\n Returns ::CUDA_ERROR_INVALID_CONTEXT if there is no current context, or if\n \\p peerContext is not a valid context.\n\n \\param peerContext - Peer context to disable direct access to\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_PEER_ACCESS_NOT_ENABLED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n \\notefnerr\n\n \\sa\n ::cuDeviceCanAccessPeer,\n ::cuCtxEnablePeerAccess,\n ::cudaDeviceDisablePeerAccess"]
    pub unsafe fn cuCtxDisablePeerAccess(&self, peerContext: CUcontext) -> CUresult {
        (self
            .cuCtxDisablePeerAccess
            .as_ref()
            .expect("Expected function, got error."))(peerContext)
    }
    #[doc = " \\brief Queries attributes of the link between two devices.\n\n Returns in \\p *value the value of the requested attribute \\p attrib of the\n link between \\p srcDevice and \\p dstDevice. The supported attributes are:\n - ::CU_DEVICE_P2P_ATTRIBUTE_PERFORMANCE_RANK: A relative value indicating the\n   performance of the link between two devices.\n - ::CU_DEVICE_P2P_ATTRIBUTE_ACCESS_SUPPORTED P2P: 1 if P2P Access is enable.\n - ::CU_DEVICE_P2P_ATTRIBUTE_NATIVE_ATOMIC_SUPPORTED: 1 if Atomic operations over\n   the link are supported.\n - ::CU_DEVICE_P2P_ATTRIBUTE_CUDA_ARRAY_ACCESS_SUPPORTED: 1 if cudaArray can\n   be accessed over the link.\n\n Returns ::CUDA_ERROR_INVALID_DEVICE if \\p srcDevice or \\p dstDevice are not valid\n or if they represent the same device.\n\n Returns ::CUDA_ERROR_INVALID_VALUE if \\p attrib is not valid or if \\p value is\n a null pointer.\n\n \\param value         - Returned value of the requested attribute\n \\param attrib        - The requested attribute of the link between \\p srcDevice and \\p dstDevice.\n \\param srcDevice     - The source device of the target link.\n \\param dstDevice     - The destination device of the target link.\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_DEVICE,\n ::CUDA_ERROR_INVALID_VALUE\n \\notefnerr\n\n \\sa\n ::cuCtxEnablePeerAccess,\n ::cuCtxDisablePeerAccess,\n ::cuDeviceCanAccessPeer,\n ::cudaDeviceGetP2PAttribute"]
    pub unsafe fn cuDeviceGetP2PAttribute(
        &self,
        value: *mut ::std::os::raw::c_int,
        attrib: CUdevice_P2PAttribute,
        srcDevice: CUdevice,
        dstDevice: CUdevice,
    ) -> CUresult {
        (self
            .cuDeviceGetP2PAttribute
            .as_ref()
            .expect("Expected function, got error."))(value, attrib, srcDevice, dstDevice)
    }
    #[doc = " \\brief Unregisters a graphics resource for access by CUDA\n\n Unregisters the graphics resource \\p resource so it is not accessible by\n CUDA unless registered again.\n\n If \\p resource is invalid then ::CUDA_ERROR_INVALID_HANDLE is\n returned.\n\n \\param resource - Resource to unregister\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_UNKNOWN\n \\notefnerr\n\n \\sa\n ::cuGraphicsD3D9RegisterResource,\n ::cuGraphicsD3D10RegisterResource,\n ::cuGraphicsD3D11RegisterResource,\n ::cuGraphicsGLRegisterBuffer,\n ::cuGraphicsGLRegisterImage,\n ::cudaGraphicsUnregisterResource"]
    pub unsafe fn cuGraphicsUnregisterResource(&self, resource: CUgraphicsResource) -> CUresult {
        (self
            .cuGraphicsUnregisterResource
            .as_ref()
            .expect("Expected function, got error."))(resource)
    }
    #[doc = " \\brief Get an array through which to access a subresource of a mapped graphics resource.\n\n Returns in \\p *pArray an array through which the subresource of the mapped\n graphics resource \\p resource which corresponds to array index \\p arrayIndex\n and mipmap level \\p mipLevel may be accessed.  The value set in \\p *pArray may\n change every time that \\p resource is mapped.\n\n If \\p resource is not a texture then it cannot be accessed via an array and\n ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY is returned.\n If \\p arrayIndex is not a valid array index for \\p resource then\n ::CUDA_ERROR_INVALID_VALUE is returned.\n If \\p mipLevel is not a valid mipmap level for \\p resource then\n ::CUDA_ERROR_INVALID_VALUE is returned.\n If \\p resource is not mapped then ::CUDA_ERROR_NOT_MAPPED is returned.\n\n \\param pArray      - Returned array through which a subresource of \\p resource may be accessed\n \\param resource    - Mapped resource to access\n \\param arrayIndex  - Array index for array textures or cubemap face\n                      index as defined by ::CUarray_cubemap_face for\n                      cubemap textures for the subresource to access\n \\param mipLevel    - Mipmap level for the subresource to access\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_MAPPED,\n ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY\n \\notefnerr\n\n \\sa\n ::cuGraphicsResourceGetMappedPointer,\n ::cudaGraphicsSubResourceGetMappedArray"]
    pub unsafe fn cuGraphicsSubResourceGetMappedArray(
        &self,
        pArray: *mut CUarray,
        resource: CUgraphicsResource,
        arrayIndex: ::std::os::raw::c_uint,
        mipLevel: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphicsSubResourceGetMappedArray
            .as_ref()
            .expect("Expected function, got error."))(pArray, resource, arrayIndex, mipLevel)
    }
    #[doc = " \\brief Get a mipmapped array through which to access a mapped graphics resource.\n\n Returns in \\p *pMipmappedArray a mipmapped array through which the mapped graphics\n resource \\p resource. The value set in \\p *pMipmappedArray may change every time\n that \\p resource is mapped.\n\n If \\p resource is not a texture then it cannot be accessed via a mipmapped array and\n ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY is returned.\n If \\p resource is not mapped then ::CUDA_ERROR_NOT_MAPPED is returned.\n\n \\param pMipmappedArray - Returned mipmapped array through which \\p resource may be accessed\n \\param resource        - Mapped resource to access\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_VALUE,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_MAPPED,\n ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY\n \\notefnerr\n\n \\sa\n ::cuGraphicsResourceGetMappedPointer,\n ::cudaGraphicsResourceGetMappedMipmappedArray"]
    pub unsafe fn cuGraphicsResourceGetMappedMipmappedArray(
        &self,
        pMipmappedArray: *mut CUmipmappedArray,
        resource: CUgraphicsResource,
    ) -> CUresult {
        (self
            .cuGraphicsResourceGetMappedMipmappedArray
            .as_ref()
            .expect("Expected function, got error."))(pMipmappedArray, resource)
    }
    pub unsafe fn cuGraphicsResourceGetMappedPointer_v2(
        &self,
        pDevPtr: *mut CUdeviceptr,
        pSize: *mut usize,
        resource: CUgraphicsResource,
    ) -> CUresult {
        (self
            .cuGraphicsResourceGetMappedPointer_v2
            .as_ref()
            .expect("Expected function, got error."))(pDevPtr, pSize, resource)
    }
    pub unsafe fn cuGraphicsResourceSetMapFlags_v2(
        &self,
        resource: CUgraphicsResource,
        flags: ::std::os::raw::c_uint,
    ) -> CUresult {
        (self
            .cuGraphicsResourceSetMapFlags_v2
            .as_ref()
            .expect("Expected function, got error."))(resource, flags)
    }
    #[doc = " \\brief Map graphics resources for access by CUDA\n\n Maps the \\p count graphics resources in \\p resources for access by CUDA.\n\n The resources in \\p resources may be accessed by CUDA until they\n are unmapped. The graphics API from which \\p resources were registered\n should not access any resources while they are mapped by CUDA. If an\n application does so, the results are undefined.\n\n This function provides the synchronization guarantee that any graphics calls\n issued before ::cuGraphicsMapResources() will complete before any subsequent CUDA\n work issued in \\p stream begins.\n\n If \\p resources includes any duplicate entries then ::CUDA_ERROR_INVALID_HANDLE is returned.\n If any of \\p resources are presently mapped for access by CUDA then ::CUDA_ERROR_ALREADY_MAPPED is returned.\n\n \\param count      - Number of resources to map\n \\param resources  - Resources to map for CUDA usage\n \\param hStream    - Stream with which to synchronize\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_ALREADY_MAPPED,\n ::CUDA_ERROR_UNKNOWN\n \\note_null_stream\n \\notefnerr\n\n \\sa\n ::cuGraphicsResourceGetMappedPointer,\n ::cuGraphicsSubResourceGetMappedArray,\n ::cuGraphicsUnmapResources,\n ::cudaGraphicsMapResources"]
    pub unsafe fn cuGraphicsMapResources(
        &self,
        count: ::std::os::raw::c_uint,
        resources: *mut CUgraphicsResource,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuGraphicsMapResources
            .as_ref()
            .expect("Expected function, got error."))(count, resources, hStream)
    }
    #[doc = " \\brief Unmap graphics resources.\n\n Unmaps the \\p count graphics resources in \\p resources.\n\n Once unmapped, the resources in \\p resources may not be accessed by CUDA\n until they are mapped again.\n\n This function provides the synchronization guarantee that any CUDA work issued\n in \\p stream before ::cuGraphicsUnmapResources() will complete before any\n subsequently issued graphics work begins.\n\n\n If \\p resources includes any duplicate entries then ::CUDA_ERROR_INVALID_HANDLE is returned.\n If any of \\p resources are not presently mapped for access by CUDA then ::CUDA_ERROR_NOT_MAPPED is returned.\n\n \\param count      - Number of resources to unmap\n \\param resources  - Resources to unmap\n \\param hStream    - Stream with which to synchronize\n\n \\return\n ::CUDA_SUCCESS,\n ::CUDA_ERROR_DEINITIALIZED,\n ::CUDA_ERROR_NOT_INITIALIZED,\n ::CUDA_ERROR_INVALID_CONTEXT,\n ::CUDA_ERROR_INVALID_HANDLE,\n ::CUDA_ERROR_NOT_MAPPED,\n ::CUDA_ERROR_UNKNOWN\n \\note_null_stream\n \\notefnerr\n\n \\sa\n ::cuGraphicsMapResources,\n ::cudaGraphicsUnmapResources"]
    pub unsafe fn cuGraphicsUnmapResources(
        &self,
        count: ::std::os::raw::c_uint,
        resources: *mut CUgraphicsResource,
        hStream: CUstream,
    ) -> CUresult {
        (self
            .cuGraphicsUnmapResources
            .as_ref()
            .expect("Expected function, got error."))(count, resources, hStream)
    }
    pub unsafe fn cuGetProcAddress_v2(
        &self,
        symbol: *const ::std::os::raw::c_char,
        pfn: *mut *mut ::std::os::raw::c_void,
        cudaVersion: ::std::os::raw::c_int,
        flags: cuuint64_t,
        symbolStatus: *mut CUdriverProcAddressQueryResult,
    ) -> CUresult {
        (self
            .cuGetProcAddress_v2
            .as_ref()
            .expect("Expected function, got error."))(
            symbol, pfn, cudaVersion, flags, symbolStatus
        )
    }
    #[doc = " @}"]
    pub unsafe fn cuGetExportTable(
        &self,
        ppExportTable: *mut *const ::std::os::raw::c_void,
        pExportTableId: *const CUuuid,
    ) -> CUresult {
        (self
            .cuGetExportTable
            .as_ref()
            .expect("Expected function, got error."))(ppExportTable, pExportTableId)
    }
}