# SPDX-FileCopyrightText: Copyright (c) 2021-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # This code was automatically generated with version 13.4.1. Do not modify it directly. # CYTHON-BINDINGS-GENERATED-DO-NOT-MODIFY-THIS-FILE: format=1; content-sha256=7449c15b6137a39e8e9c26a3aee810954cead6b88b7c8a768abb9a2bc5875913 cimport cuda.bindings.cyruntime as cyruntime include "_lib/utils.pxd" cimport cuda.bindings.driver as driver cdef class cudaDevResourceDesc_t: """ An opaque descriptor handle. The descriptor encapsulates multiple created and configured resources. Created via ::cudaDeviceResourceGenerateDesc Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevResourceDesc_t _pvt_val cdef cyruntime.cudaDevResourceDesc_t* _pvt_ptr cdef class cudaExecutionContext_t: """ An opaque handle to a CUDA execution context. It represents an execution context created via CUDA Runtime APIs such as cudaGreenCtxCreate. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExecutionContext_t _pvt_val cdef cyruntime.cudaExecutionContext_t* _pvt_ptr cdef class cudaArray_t: """ CUDA array Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaArray_t _pvt_val cdef cyruntime.cudaArray_t* _pvt_ptr cdef class cudaArray_const_t: """ CUDA array (as source copy argument) Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaArray_const_t _pvt_val cdef cyruntime.cudaArray_const_t* _pvt_ptr cdef class cudaMipmappedArray_t: """ CUDA mipmapped array Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMipmappedArray_t _pvt_val cdef cyruntime.cudaMipmappedArray_t* _pvt_ptr cdef class cudaMipmappedArray_const_t: """ CUDA mipmapped array (as source argument) Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMipmappedArray_const_t _pvt_val cdef cyruntime.cudaMipmappedArray_const_t* _pvt_ptr cdef class cudaGraphicsResource_t: """ CUDA graphics resource types Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphicsResource_t _pvt_val cdef cyruntime.cudaGraphicsResource_t* _pvt_ptr cdef class cudaExternalMemory_t: """ CUDA external memory Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemory_t _pvt_val cdef cyruntime.cudaExternalMemory_t* _pvt_ptr cdef class cudaExternalSemaphore_t: """ CUDA external semaphore Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphore_t _pvt_val cdef cyruntime.cudaExternalSemaphore_t* _pvt_ptr cdef class cudaKernel_t: """ CUDA kernel Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaKernel_t _pvt_val cdef cyruntime.cudaKernel_t* _pvt_ptr cdef class cudaLibrary_t: """ CUDA library Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLibrary_t _pvt_val cdef cyruntime.cudaLibrary_t* _pvt_ptr cdef class cudaGraphDeviceNode_t: """ CUDA device node handle for device-side node update Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphDeviceNode_t _pvt_val cdef cyruntime.cudaGraphDeviceNode_t* _pvt_ptr cdef class cudaAsyncCallbackHandle_t: """ CUDA async callback handle Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAsyncCallbackHandle_t _pvt_val cdef cyruntime.cudaAsyncCallbackHandle_t* _pvt_ptr cdef class cudaLogsCallbackHandle: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLogsCallbackHandle _pvt_val cdef cyruntime.cudaLogsCallbackHandle* _pvt_ptr cdef class EGLImageKHR: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.EGLImageKHR _pvt_val cdef cyruntime.EGLImageKHR* _pvt_ptr cdef class EGLStreamKHR: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.EGLStreamKHR _pvt_val cdef cyruntime.EGLStreamKHR* _pvt_ptr cdef class EGLSyncKHR: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.EGLSyncKHR _pvt_val cdef cyruntime.EGLSyncKHR* _pvt_ptr cdef class cudaHostFn_t: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaHostFn_t _pvt_val cdef cyruntime.cudaHostFn_t* _pvt_ptr cdef class cudaAsyncCallback: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAsyncCallback _pvt_val cdef cyruntime.cudaAsyncCallback* _pvt_ptr cdef class cudaStreamCallback_t: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaStreamCallback_t _pvt_val cdef cyruntime.cudaStreamCallback_t* _pvt_ptr cdef class cudaGraphRecaptureCallback_t: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphRecaptureCallback_t _pvt_val cdef cyruntime.cudaGraphRecaptureCallback_t* _pvt_ptr cdef class cudaLogsCallback_t: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLogsCallback_t _pvt_val cdef cyruntime.cudaLogsCallback_t* _pvt_ptr cdef class dim3: """ Attributes ---------- x : unsigned int y : unsigned int z : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.dim3 _pvt_val cdef cyruntime.dim3* _pvt_ptr cdef class cudaChannelFormatDesc: """ CUDA Channel format descriptor Attributes ---------- x : int x y : int y z : int z w : int w f : cudaChannelFormatKind Channel format kind Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaChannelFormatDesc _pvt_val cdef cyruntime.cudaChannelFormatDesc* _pvt_ptr cdef class anon_struct0: """ Attributes ---------- width : unsigned int height : unsigned int depth : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaArraySparseProperties* _pvt_ptr cdef class cudaArraySparseProperties: """ Sparse CUDA array and CUDA mipmapped array properties Attributes ---------- tileExtent : anon_struct0 miptailFirstLevel : unsigned int First mip level at which the mip tail begins miptailSize : unsigned long long Total size of the mip tail. flags : unsigned int Flags will either be zero or cudaArraySparsePropertiesSingleMipTail Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaArraySparseProperties _pvt_val cdef cyruntime.cudaArraySparseProperties* _pvt_ptr cdef anon_struct0 _tileExtent cdef class cudaArrayMemoryRequirements: """ CUDA array and CUDA mipmapped array memory requirements Attributes ---------- size : size_t Total size of the array. alignment : size_t Alignment necessary for mapping the array. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaArrayMemoryRequirements _pvt_val cdef cyruntime.cudaArrayMemoryRequirements* _pvt_ptr cdef class cudaPitchedPtr: """ CUDA Pitched memory pointer make_cudaPitchedPtr Attributes ---------- ptr : Any Pointer to allocated memory pitch : size_t Pitch of allocated memory in bytes xsize : size_t Logical width of allocation in elements ysize : size_t Logical height of allocation in elements Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaPitchedPtr _pvt_val cdef cyruntime.cudaPitchedPtr* _pvt_ptr cdef _HelperInputVoidPtr _cyptr cdef class cudaExtent: """ CUDA extent make_cudaExtent Attributes ---------- width : size_t Width in elements when referring to array memory, in bytes when referring to linear memory height : size_t Height in elements depth : size_t Depth in elements Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExtent _pvt_val cdef cyruntime.cudaExtent* _pvt_ptr cdef class cudaPos: """ CUDA 3D position make_cudaPos Attributes ---------- x : size_t x y : size_t y z : size_t z Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaPos _pvt_val cdef cyruntime.cudaPos* _pvt_ptr cdef class cudaMemcpy3DParms: """ CUDA 3D memory copying parameters Attributes ---------- srcArray : cudaArray_t Source memory address srcPos : cudaPos Source position offset srcPtr : cudaPitchedPtr Pitched source memory address dstArray : cudaArray_t Destination memory address dstPos : cudaPos Destination position offset dstPtr : cudaPitchedPtr Pitched destination memory address extent : cudaExtent Requested memory copy size kind : cudaMemcpyKind Type of transfer Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DParms _pvt_val cdef cyruntime.cudaMemcpy3DParms* _pvt_ptr cdef cudaArray_t _srcArray cdef cudaPos _srcPos cdef cudaPitchedPtr _srcPtr cdef cudaArray_t _dstArray cdef cudaPos _dstPos cdef cudaPitchedPtr _dstPtr cdef cudaExtent _extent cdef class cudaMemcpyNodeParams: """ Memcpy node parameters Attributes ---------- flags : int Must be zero ctx : cudaExecutionContext_t Context in which to run the memcpy. If NULL will try to use the current context. copyParams : cudaMemcpy3DParms Parameters for the memory copy Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpyNodeParams _pvt_val cdef cyruntime.cudaMemcpyNodeParams* _pvt_ptr cdef cudaExecutionContext_t _ctx cdef cudaMemcpy3DParms _copyParams cdef class cudaMemcpy3DPeerParms: """ CUDA 3D cross-device memory copying parameters Attributes ---------- srcArray : cudaArray_t Source memory address srcPos : cudaPos Source position offset srcPtr : cudaPitchedPtr Pitched source memory address srcDevice : int Source device dstArray : cudaArray_t Destination memory address dstPos : cudaPos Destination position offset dstPtr : cudaPitchedPtr Pitched destination memory address dstDevice : int Destination device extent : cudaExtent Requested memory copy size Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DPeerParms _pvt_val cdef cyruntime.cudaMemcpy3DPeerParms* _pvt_ptr cdef cudaArray_t _srcArray cdef cudaPos _srcPos cdef cudaPitchedPtr _srcPtr cdef cudaArray_t _dstArray cdef cudaPos _dstPos cdef cudaPitchedPtr _dstPtr cdef cudaExtent _extent cdef class cudaMemsetParams: """ CUDA Memset node parameters Attributes ---------- dst : Any Destination device pointer pitch : size_t Pitch of destination device pointer. Unused if height is 1 value : unsigned int Value to be set elementSize : unsigned int Size of each element in bytes. Must be 1, 2, or 4. width : size_t Width of the row in elements height : size_t Number of rows Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemsetParams _pvt_val cdef cyruntime.cudaMemsetParams* _pvt_ptr cdef _HelperInputVoidPtr _cydst cdef class cudaMemsetParamsV2: """ CUDA Memset node parameters Attributes ---------- dst : Any Destination device pointer pitch : size_t Pitch of destination device pointer. Unused if height is 1 value : unsigned int Value to be set elementSize : unsigned int Size of each element in bytes. Must be 1, 2, or 4. width : size_t Width of the row in elements height : size_t Number of rows ctx : cudaExecutionContext_t Context in which to run the memset. If NULL will try to use the current context. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemsetParamsV2 _pvt_val cdef cyruntime.cudaMemsetParamsV2* _pvt_ptr cdef _HelperInputVoidPtr _cydst cdef cudaExecutionContext_t _ctx cdef class cudaAccessPolicyWindow: """ Specifies an access policy for a window, a contiguous extent of memory beginning at base_ptr and ending at base_ptr + num_bytes. Partition into many segments and assign segments such that. sum of "hit segments" / window == approx. ratio. sum of "miss segments" / window == approx 1-ratio. Segments and ratio specifications are fitted to the capabilities of the architecture. Accesses in a hit segment apply the hitProp access policy. Accesses in a miss segment apply the missProp access policy. Attributes ---------- base_ptr : Any Starting address of the access policy window. CUDA driver may align it. num_bytes : size_t Size in bytes of the window policy. CUDA driver may restrict the maximum size and alignment. hitRatio : float hitRatio specifies percentage of lines assigned hitProp, rest are assigned missProp. hitProp : cudaAccessProperty ::CUaccessProperty set for hit. missProp : cudaAccessProperty ::CUaccessProperty set for miss. Must be either NORMAL or STREAMING. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAccessPolicyWindow _pvt_val cdef cyruntime.cudaAccessPolicyWindow* _pvt_ptr cdef _HelperInputVoidPtr _cybase_ptr cdef class cudaHostNodeParams: """ CUDA host node parameters Attributes ---------- fn : cudaHostFn_t The function to call when the node executes userData : Any Argument to pass to the function Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaHostNodeParams _pvt_val cdef cyruntime.cudaHostNodeParams* _pvt_ptr cdef cudaHostFn_t _fn cdef _HelperInputVoidPtr _cyuserData cdef class cudaHostNodeParamsV2: """ CUDA host node parameters Attributes ---------- fn : cudaHostFn_t The function to call when the node executes userData : Any Argument to pass to the function syncMode : unsigned int The synchronization mode to use for the host task ctx : cudaExecutionContext_t CUDA Execution Context Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaHostNodeParamsV2 _pvt_val cdef cyruntime.cudaHostNodeParamsV2* _pvt_ptr cdef cudaHostFn_t _fn cdef _HelperInputVoidPtr _cyuserData cdef cudaExecutionContext_t _ctx cdef class anon_struct1: """ Attributes ---------- array : cudaArray_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef cudaArray_t _array cdef class anon_struct2: """ Attributes ---------- mipmap : cudaMipmappedArray_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef cudaMipmappedArray_t _mipmap cdef class anon_struct3: """ Attributes ---------- devPtr : Any desc : cudaChannelFormatDesc sizeInBytes : size_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef _HelperInputVoidPtr _cydevPtr cdef cudaChannelFormatDesc _desc cdef class anon_struct4: """ Attributes ---------- devPtr : Any desc : cudaChannelFormatDesc width : size_t height : size_t pitchInBytes : size_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef _HelperInputVoidPtr _cydevPtr cdef cudaChannelFormatDesc _desc cdef class anon_struct5: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef class anon_union0: """ Attributes ---------- array : anon_struct1 mipmap : anon_struct2 linear : anon_struct3 pitch2D : anon_struct4 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef anon_struct1 _array cdef anon_struct2 _mipmap cdef anon_struct3 _linear cdef anon_struct4 _pitch2D cdef class cudaResourceDesc: """ CUDA resource descriptor Attributes ---------- resType : cudaResourceType Resource type res : anon_union0 flags : unsigned int Flags (must be zero) Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceDesc* _val_ptr cdef cyruntime.cudaResourceDesc* _pvt_ptr cdef anon_union0 _res cdef class cudaResourceViewDesc: """ CUDA resource view descriptor Attributes ---------- format : cudaResourceViewFormat Resource view format width : size_t Width of the resource view height : size_t Height of the resource view depth : size_t Depth of the resource view firstMipmapLevel : unsigned int First defined mipmap level lastMipmapLevel : unsigned int Last defined mipmap level firstLayer : unsigned int First layer index lastLayer : unsigned int Last layer index Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaResourceViewDesc _pvt_val cdef cyruntime.cudaResourceViewDesc* _pvt_ptr cdef class cudaPointerAttributes: """ CUDA pointer attributes Attributes ---------- type : cudaMemoryType The type of memory - cudaMemoryTypeUnregistered, cudaMemoryTypeHost, cudaMemoryTypeDevice or cudaMemoryTypeManaged. device : int The device against which the memory was allocated or registered. If the memory type is cudaMemoryTypeDevice then this identifies the device on which the memory referred physically resides. If the memory type is cudaMemoryTypeHost or::cudaMemoryTypeManaged then this identifies the device which was current when the memory was allocated or registered (and if that device is deinitialized then this allocation will vanish with that device's state). devicePointer : Any The address which may be dereferenced on the current device to access the memory or NULL if no such address exists. hostPointer : Any The address which may be dereferenced on the host to access the memory or NULL if no such address exists. CUDA doesn't check if unregistered memory is allocated so this field may contain invalid pointer if an invalid pointer has been passed to CUDA. localityDomainOrdinal : int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaPointerAttributes* _val_ptr cdef cyruntime.cudaPointerAttributes* _pvt_ptr cdef _HelperInputVoidPtr _cydevicePointer cdef _HelperInputVoidPtr _cyhostPointer cdef class cudaFuncAttributes: """ CUDA function attributes Attributes ---------- sharedSizeBytes : size_t The size in bytes of statically-allocated shared memory per block required by this function. This does not include dynamically- allocated shared memory requested by the user at runtime. constSizeBytes : size_t The size in bytes of user-allocated constant memory required by this function. localSizeBytes : size_t The size in bytes of local memory used by each thread of this function. maxThreadsPerBlock : int The maximum number of threads per block, beyond which a launch of the function would fail. This number depends on both the function and the device on which the function is currently loaded. numRegs : int The number of registers used by each thread of this function. ptxVersion : int The PTX virtual architecture version for which the function was compiled. This value is the major PTX version * 10 + the minor PTX version, so a PTX version 1.3 function would return the value 13. binaryVersion : int The binary architecture version for which the function was compiled. This value is the major binary version * 10 + the minor binary version, so a binary version 1.3 function would return the value 13. cacheModeCA : int The attribute to indicate whether the function has been compiled with user specified option "-Xptxas --dlcm=ca" set. maxDynamicSharedSizeBytes : int The maximum size in bytes of dynamic shared memory per block for this function. Any launch must have a dynamic shared memory size smaller than this value. This attribute is ignored if the sharedMemoryMode function or launch attribute is set. This attribute cannot be used to access oversized shared memory. Oversized shared memory can only be accessed by setting the shared memory mode. See cudaFuncSetAttribute preferredShmemCarveout : int On devices where the L1 cache and shared memory use the same hardware resources, this sets the shared memory carveout preference, in percent of the maximum shared memory. Refer to cudaDevAttrMaxSharedMemoryPerMultiprocessor. This is only a hint, and the driver can choose a different ratio if required to execute the function. See cudaFuncSetAttribute clusterDimMustBeSet : int If this attribute is set, the kernel must launch with a valid cluster dimension specified. requiredClusterWidth : int The required cluster width/height/depth in blocks. The values must either all be 0 or all be positive. The validity of the cluster dimensions is otherwise checked at launch time. If the value is set during compile time, it cannot be set at runtime. Setting it at runtime should return cudaErrorNotPermitted. See cudaFuncSetAttribute requiredClusterHeight : int requiredClusterDepth : int clusterSchedulingPolicyPreference : int The block scheduling policy of a function. See cudaFuncSetAttribute nonPortableClusterSizeAllowed : int Whether the function can be launched with non-portable cluster size. 1 is allowed, 0 is disallowed. A non-portable cluster size may only function on the specific SKUs the program is tested on. The launch might fail if the program is run on a different hardware platform. CUDA API provides cudaOccupancyMaxActiveClusters to assist with checking whether the desired size can be launched on the current device. Portable Cluster Size A portable cluster size is guaranteed to be functional on all compute capabilities higher than the target compute capability. The portable cluster size for sm_90 is 8 blocks per cluster. This value may increase for future compute capabilities. The specific hardware unit may support higher cluster sizes that’s not guaranteed to be portable. See cudaFuncSetAttribute deviceNodeUpdateStatus : int Whether the function can be updated on device. 1 means device node update is supported, 0 is unsupported or driver is too old to check the value. sharedMemoryMode : cudaSharedMemoryMode This controls a kernel's use of non-portable or oversized shared memory configurations. See cudaFuncSetAttribute Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaFuncAttributes _pvt_val cdef cyruntime.cudaFuncAttributes* _pvt_ptr cdef class anon_struct6: """ Attributes ---------- deviceId : bytes localityDomainId : bytes Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemLocation* _pvt_ptr cdef class cudaMemLocation: """ Specifies a memory location. To specify a gpu, set type = cudaMemLocationTypeDevice and set id = the gpu's device ordinal. To specify a cpu NUMA node, set type = cudaMemLocationTypeHostNuma and set id = host NUMA node id. Attributes ---------- type : cudaMemLocationType Specifies the location type, which modifies the meaning of id. id : int Identifier for cudaMemLocationType::cudaMemLocationTypeDevice, cudaMemLocationType::cudaMemLocationTypeHost, or cudaMemLocationType::cudaMemLocationTypeHostNuma. localized : anon_struct6 Identifier for cudaMemLocationType::cudaMemLocationTypeDeviceLocalityDomain. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemLocation* _val_ptr cdef cyruntime.cudaMemLocation* _pvt_ptr cdef anon_struct6 _localized cdef class cudaMemAccessDesc: """ Memory access descriptor Attributes ---------- location : cudaMemLocation Location on which the request is to change it's accessibility flags : cudaMemAccessFlags ::CUmemProt accessibility flags to set on the request Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemAccessDesc _pvt_val cdef cyruntime.cudaMemAccessDesc* _pvt_ptr cdef cudaMemLocation _location cdef class cudaMemPoolProps: """ Specifies the properties of allocations made from the pool. Attributes ---------- allocType : cudaMemAllocationType Allocation type. Currently must be specified as cudaMemAllocationTypePinned handleTypes : cudaMemAllocationHandleType Handle types that will be supported by allocations from the pool. location : cudaMemLocation Location allocations should reside. win32SecurityAttributes : Any Windows-specific LPSECURITYATTRIBUTES required when cudaMemHandleTypeWin32 is specified. This security attribute defines the scope of which exported allocations may be tranferred to other processes. In all other cases, this field is required to be zero. maxSize : size_t Maximum pool size. When set to 0, defaults to a system dependent value. usage : unsigned short Bitmask indicating intended usage for the pool. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemPoolProps _pvt_val cdef cyruntime.cudaMemPoolProps* _pvt_ptr cdef cudaMemLocation _location cdef _HelperInputVoidPtr _cywin32SecurityAttributes cdef class cudaMemPoolPtrExportData: """ Opaque data for exporting a pool allocation Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemPoolPtrExportData _pvt_val cdef cyruntime.cudaMemPoolPtrExportData* _pvt_ptr cdef class cudaMemAllocNodeParams: """ Memory allocation node parameters Attributes ---------- poolProps : cudaMemPoolProps in: location where the allocation should reside (specified in ::location). ::handleTypes must be cudaMemHandleTypeNone. IPC is not supported. in: array of memory access descriptors. Used to describe peer GPU access accessDescs : cudaMemAccessDesc in: number of memory access descriptors. Must not exceed the number of GPUs. accessDescCount : size_t in: Number of `accessDescs`s bytesize : size_t in: size in bytes of the requested allocation dptr : Any out: address of the allocation returned by CUDA Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemAllocNodeParams _pvt_val cdef cyruntime.cudaMemAllocNodeParams* _pvt_ptr cdef cudaMemPoolProps _poolProps cdef size_t _accessDescs_length cdef cyruntime.cudaMemAccessDesc* _accessDescs cdef _HelperInputVoidPtr _cydptr cdef class cudaMemAllocNodeParamsV2: """ Memory allocation node parameters Attributes ---------- poolProps : cudaMemPoolProps in: location where the allocation should reside (specified in ::location). ::handleTypes must be cudaMemHandleTypeNone. IPC is not supported. in: array of memory access descriptors. Used to describe peer GPU access accessDescs : cudaMemAccessDesc in: number of memory access descriptors. Must not exceed the number of GPUs. accessDescCount : size_t in: Number of `accessDescs`s bytesize : size_t in: size in bytes of the requested allocation dptr : Any out: address of the allocation returned by CUDA Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemAllocNodeParamsV2 _pvt_val cdef cyruntime.cudaMemAllocNodeParamsV2* _pvt_ptr cdef cudaMemPoolProps _poolProps cdef size_t _accessDescs_length cdef cyruntime.cudaMemAccessDesc* _accessDescs cdef _HelperInputVoidPtr _cydptr cdef class cudaMemFreeNodeParams: """ Memory free node parameters Attributes ---------- dptr : Any in: the pointer to free Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemFreeNodeParams _pvt_val cdef cyruntime.cudaMemFreeNodeParams* _pvt_ptr cdef _HelperInputVoidPtr _cydptr cdef class cudaMemcpyAttributes: """ Attributes specific to copies within a batch. For more details on usage see cudaMemcpyBatchAsync. Attributes ---------- srcAccessOrder : cudaMemcpySrcAccessOrder Source access ordering to be observed for copies with this attribute. srcLocHint : cudaMemLocation Hint location for the source operand. Ignored when the pointers are not managed memory or memory allocated outside CUDA. dstLocHint : cudaMemLocation Hint location for the destination operand. Ignored when the pointers are not managed memory or memory allocated outside CUDA. flags : unsigned int Additional flags for copies with this attribute. See cudaMemcpyFlags. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpyAttributes _pvt_val cdef cyruntime.cudaMemcpyAttributes* _pvt_ptr cdef cudaMemLocation _srcLocHint cdef cudaMemLocation _dstLocHint cdef class cudaOffset3D: """ Struct representing offset into a cudaArray_t in elements Attributes ---------- x : size_t y : size_t z : size_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaOffset3D _pvt_val cdef cyruntime.cudaOffset3D* _pvt_ptr cdef class anon_struct7: """ Attributes ---------- ptr : Any rowLength : size_t layerHeight : size_t locHint : cudaMemLocation Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DOperand* _pvt_ptr cdef _HelperInputVoidPtr _cyptr cdef cudaMemLocation _locHint cdef class anon_struct8: """ Attributes ---------- array : cudaArray_t offset : cudaOffset3D Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DOperand* _pvt_ptr cdef cudaArray_t _array cdef cudaOffset3D _offset cdef class anon_union3: """ Attributes ---------- ptr : anon_struct7 array : anon_struct8 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DOperand* _pvt_ptr cdef anon_struct7 _ptr cdef anon_struct8 _array cdef class cudaMemcpy3DOperand: """ Struct representing an operand for copy with cudaMemcpy3DBatchAsync Attributes ---------- type : cudaMemcpy3DOperandType op : anon_union3 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DOperand* _val_ptr cdef cyruntime.cudaMemcpy3DOperand* _pvt_ptr cdef anon_union3 _op cdef class cudaMemcpy3DBatchOp: """ Attributes ---------- src : cudaMemcpy3DOperand Source memcpy operand. dst : cudaMemcpy3DOperand Destination memcpy operand. extent : cudaExtent Extents of the memcpy between src and dst. The width, height and depth components must not be 0. srcAccessOrder : cudaMemcpySrcAccessOrder Source access ordering to be observed for copy from src to dst. flags : unsigned int Additional flags for copy from src to dst. See cudaMemcpyFlags. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemcpy3DBatchOp _pvt_val cdef cyruntime.cudaMemcpy3DBatchOp* _pvt_ptr cdef cudaMemcpy3DOperand _src cdef cudaMemcpy3DOperand _dst cdef cudaExtent _extent cdef class CUuuid_st: """ Attributes ---------- bytes : bytes < CUDA definition of UUID Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.CUuuid_st _pvt_val cdef cyruntime.CUuuid_st* _pvt_ptr cdef class cudaDeviceProp: """ CUDA device properties Attributes ---------- name : bytes ASCII string identifying device uuid : cudaUUID_t 16-byte unique identifier luid : bytes 8-byte locally unique identifier. Value is undefined on TCC and non-Windows platforms luidDeviceNodeMask : unsigned int LUID device node mask. Value is undefined on TCC and non-Windows platforms totalGlobalMem : size_t Global memory available on device in bytes sharedMemPerBlock : size_t Shared memory available per block in bytes regsPerBlock : int 32-bit registers available per block warpSize : int Warp size in threads memPitch : size_t Maximum pitch in bytes allowed by memory copies maxThreadsPerBlock : int Maximum number of threads per block maxThreadsDim : list[int] Maximum size of each dimension of a block maxGridSize : list[int] Maximum size of each dimension of a grid totalConstMem : size_t Constant memory available on device in bytes major : int Major compute capability minor : int Minor compute capability textureAlignment : size_t Alignment requirement for textures texturePitchAlignment : size_t Pitch alignment requirement for texture references bound to pitched memory multiProcessorCount : int Number of multiprocessors on device integrated : int Device is integrated as opposed to discrete canMapHostMemory : int Device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer maxTexture1D : int Maximum 1D texture size maxTexture1DMipmap : int Maximum 1D mipmapped texture size maxTexture2D : list[int] Maximum 2D texture dimensions maxTexture2DMipmap : list[int] Maximum 2D mipmapped texture dimensions maxTexture2DLinear : list[int] Maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory maxTexture2DGather : list[int] Maximum 2D texture dimensions if texture gather operations have to be performed maxTexture3D : list[int] Maximum 3D texture dimensions maxTexture3DAlt : list[int] Maximum alternate 3D texture dimensions maxTextureCubemap : int Maximum Cubemap texture dimensions maxTexture1DLayered : list[int] Maximum 1D layered texture dimensions maxTexture2DLayered : list[int] Maximum 2D layered texture dimensions maxTextureCubemapLayered : list[int] Maximum Cubemap layered texture dimensions maxSurface1D : int Maximum 1D surface size maxSurface2D : list[int] Maximum 2D surface dimensions maxSurface3D : list[int] Maximum 3D surface dimensions maxSurface1DLayered : list[int] Maximum 1D layered surface dimensions maxSurface2DLayered : list[int] Maximum 2D layered surface dimensions maxSurfaceCubemap : int Maximum Cubemap surface dimensions maxSurfaceCubemapLayered : list[int] Maximum Cubemap layered surface dimensions surfaceAlignment : size_t Alignment requirements for surfaces concurrentKernels : int Device can possibly execute multiple kernels concurrently ECCEnabled : int Device has ECC support enabled pciBusID : int PCI bus ID of the device pciDeviceID : int PCI device ID of the device pciDomainID : int PCI domain ID of the device tccDriver : int 1 if device is a Tesla device using TCC driver, 0 otherwise asyncEngineCount : int Number of asynchronous engines unifiedAddressing : int Device shares a unified address space with the host memoryBusWidth : int Global memory bus width in bits l2CacheSize : int Size of L2 cache in bytes persistingL2CacheMaxSize : int Device's maximum l2 persisting lines capacity setting in bytes maxThreadsPerMultiProcessor : int Maximum resident threads per multiprocessor streamPrioritiesSupported : int Device supports stream priorities globalL1CacheSupported : int Device supports caching globals in L1 localL1CacheSupported : int Device supports caching locals in L1 sharedMemPerMultiprocessor : size_t Shared memory available per multiprocessor in bytes regsPerMultiprocessor : int 32-bit registers available per multiprocessor managedMemory : int Device supports allocating managed memory on this system isMultiGpuBoard : int Device is on a multi-GPU board multiGpuBoardGroupID : int Unique identifier for a group of devices on the same multi-GPU board hostNativeAtomicSupported : int Link between the device and the host supports native atomic operations pageableMemoryAccess : int Device supports coherently accessing pageable memory without calling cudaHostRegister on it concurrentManagedAccess : int Device can coherently access managed memory concurrently with the CPU computePreemptionSupported : int Device supports Compute Preemption canUseHostPointerForRegisteredMem : int Device can access host registered memory at the same virtual address as the CPU cooperativeLaunch : int Device supports launching cooperative kernels via cudaLaunchCooperativeKernel sharedMemPerBlockOptin : size_t Per device maximum shared memory per block usable by special opt in pageableMemoryAccessUsesHostPageTables : int Device accesses pageable memory via the host's page tables directManagedMemAccessFromHost : int Host can directly access managed memory on the device without migration. maxBlocksPerMultiProcessor : int Maximum number of resident blocks per multiprocessor accessPolicyMaxWindowSize : int The maximum value of cudaAccessPolicyWindow::num_bytes. reservedSharedMemPerBlock : size_t Shared memory reserved by CUDA driver per block in bytes hostRegisterSupported : int Device supports host memory registration via cudaHostRegister. sparseCudaArraySupported : int 1 if the device supports sparse CUDA arrays and sparse CUDA mipmapped arrays, 0 otherwise hostRegisterReadOnlySupported : int Device supports using the cudaHostRegister flag cudaHostRegisterReadOnly to register memory that must be mapped as read-only to the GPU timelineSemaphoreInteropSupported : int External timeline semaphore interop is supported on the device memoryPoolsSupported : int 1 if the device supports using the cudaMallocAsync and cudaMemPool family of APIs, 0 otherwise gpuDirectRDMASupported : int 1 if the device supports GPUDirect RDMA APIs, 0 otherwise gpuDirectRDMAFlushWritesOptions : unsigned int Bitmask to be interpreted according to the cudaFlushGPUDirectRDMAWritesOptions enum gpuDirectRDMAWritesOrdering : int See the cudaGPUDirectRDMAWritesOrdering enum for numerical values memoryPoolSupportedHandleTypes : unsigned int Bitmask of handle types supported with mempool-based IPC deferredMappingCudaArraySupported : int 1 if the device supports deferred mapping CUDA arrays and CUDA mipmapped arrays ipcEventSupported : int Device supports IPC Events. clusterLaunch : int Indicates device supports cluster launch unifiedFunctionPointers : int Indicates device supports unified pointers deviceNumaConfig : int NUMA configuration of a device: value is of type cudaDeviceNumaConfig enum deviceNumaId : int NUMA node ID of the GPU memory mpsEnabled : int Indicates if contexts created on this device will be shared via MPS hostNumaId : int NUMA ID of the host node closest to the device or -1 when system does not support NUMA gpuPciDeviceID : unsigned int The combined 16-bit PCI device ID and 16-bit PCI vendor ID gpuPciSubsystemID : unsigned int The combined 16-bit PCI subsystem ID and 16-bit PCI subsystem vendor ID hostNumaMultinodeIpcSupported : int 1 if the device supports HostNuma location IPC between nodes in a multi-node system. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDeviceProp _pvt_val cdef cyruntime.cudaDeviceProp* _pvt_ptr cdef cudaUUID_t _uuid cdef class cudaIpcEventHandle_st: """ CUDA IPC event handle Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaIpcEventHandle_st _pvt_val cdef cyruntime.cudaIpcEventHandle_st* _pvt_ptr cdef class cudaIpcMemHandle_st: """ CUDA IPC memory handle Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaIpcMemHandle_st _pvt_val cdef cyruntime.cudaIpcMemHandle_st* _pvt_ptr cdef class cudaMemFabricHandle_st: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaMemFabricHandle_st _pvt_val cdef cyruntime.cudaMemFabricHandle_st* _pvt_ptr cdef class anon_struct9: """ Attributes ---------- handle : Any name : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemoryHandleDesc* _pvt_ptr cdef _HelperInputVoidPtr _cyhandle cdef _HelperInputVoidPtr _cyname cdef class anon_union4: """ Attributes ---------- fd : int win32 : anon_struct9 nvSciBufObject : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemoryHandleDesc* _pvt_ptr cdef anon_struct9 _win32 cdef _HelperInputVoidPtr _cynvSciBufObject cdef class cudaExternalMemoryHandleDesc: """ External memory handle descriptor Attributes ---------- type : cudaExternalMemoryHandleType Type of the handle handle : anon_union4 size : unsigned long long Size of the memory allocation flags : unsigned int Flags must either be zero or cudaExternalMemoryDedicated Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemoryHandleDesc* _val_ptr cdef cyruntime.cudaExternalMemoryHandleDesc* _pvt_ptr cdef anon_union4 _handle cdef class cudaExternalMemoryBufferDesc: """ External memory buffer descriptor Attributes ---------- offset : unsigned long long Offset into the memory object where the buffer's base is size : unsigned long long Size of the buffer flags : unsigned int Flags reserved for future use. Must be zero. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemoryBufferDesc _pvt_val cdef cyruntime.cudaExternalMemoryBufferDesc* _pvt_ptr cdef class cudaExternalMemoryMipmappedArrayDesc: """ External memory mipmap descriptor Attributes ---------- offset : unsigned long long Offset into the memory object where the base level of the mipmap chain is. formatDesc : cudaChannelFormatDesc Format of base level of the mipmap chain extent : cudaExtent Dimensions of base level of the mipmap chain flags : unsigned int Flags associated with CUDA mipmapped arrays. See cudaMallocMipmappedArray numLevels : unsigned int Total number of levels in the mipmap chain Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalMemoryMipmappedArrayDesc _pvt_val cdef cyruntime.cudaExternalMemoryMipmappedArrayDesc* _pvt_ptr cdef cudaChannelFormatDesc _formatDesc cdef cudaExtent _extent cdef class anon_struct10: """ Attributes ---------- handle : Any name : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreHandleDesc* _pvt_ptr cdef _HelperInputVoidPtr _cyhandle cdef _HelperInputVoidPtr _cyname cdef class anon_union5: """ Attributes ---------- fd : int win32 : anon_struct10 nvSciSyncObj : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreHandleDesc* _pvt_ptr cdef anon_struct10 _win32 cdef _HelperInputVoidPtr _cynvSciSyncObj cdef class cudaExternalSemaphoreHandleDesc: """ External semaphore handle descriptor Attributes ---------- type : cudaExternalSemaphoreHandleType Type of the handle handle : anon_union5 flags : unsigned int Flags reserved for the future. Must be zero. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreHandleDesc* _val_ptr cdef cyruntime.cudaExternalSemaphoreHandleDesc* _pvt_ptr cdef anon_union5 _handle cdef class anon_struct11: """ Attributes ---------- value : unsigned long long Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalParams* _pvt_ptr cdef class anon_union6: """ Attributes ---------- fence : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalParams* _pvt_ptr cdef _HelperInputVoidPtr _cyfence cdef class anon_struct12: """ Attributes ---------- key : unsigned long long Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalParams* _pvt_ptr cdef class anon_struct13: """ Attributes ---------- fence : anon_struct11 nvSciSync : anon_union6 keyedMutex : anon_struct12 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalParams* _pvt_ptr cdef anon_struct11 _fence cdef anon_union6 _nvSciSync cdef anon_struct12 _keyedMutex cdef class cudaExternalSemaphoreSignalParams: """ External semaphore signal parameters, compatible with driver type Attributes ---------- params : anon_struct13 flags : unsigned int Only when cudaExternalSemaphoreSignalParams is used to signal a cudaExternalSemaphore_t of type cudaExternalSemaphoreHandleTypeNvSciSync, the valid flag is cudaExternalSemaphoreSignalSkipNvSciBufMemSync: which indicates that while signaling the cudaExternalSemaphore_t, no memory synchronization operations should be performed for any external memory object imported as cudaExternalMemoryHandleTypeNvSciBuf. For all other types of cudaExternalSemaphore_t, flags must be zero. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalParams _pvt_val cdef cyruntime.cudaExternalSemaphoreSignalParams* _pvt_ptr cdef anon_struct13 _params cdef class anon_struct14: """ Attributes ---------- value : unsigned long long Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitParams* _pvt_ptr cdef class anon_union7: """ Attributes ---------- fence : Any Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitParams* _pvt_ptr cdef _HelperInputVoidPtr _cyfence cdef class anon_struct15: """ Attributes ---------- key : unsigned long long timeoutMs : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitParams* _pvt_ptr cdef class anon_struct16: """ Attributes ---------- fence : anon_struct14 nvSciSync : anon_union7 keyedMutex : anon_struct15 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitParams* _pvt_ptr cdef anon_struct14 _fence cdef anon_union7 _nvSciSync cdef anon_struct15 _keyedMutex cdef class cudaExternalSemaphoreWaitParams: """ External semaphore wait parameters, compatible with driver type Attributes ---------- params : anon_struct16 flags : unsigned int Only when cudaExternalSemaphoreSignalParams is used to signal a cudaExternalSemaphore_t of type cudaExternalSemaphoreHandleTypeNvSciSync, the valid flag is cudaExternalSemaphoreSignalSkipNvSciBufMemSync: which indicates that while waiting for the cudaExternalSemaphore_t, no memory synchronization operations should be performed for any external memory object imported as cudaExternalMemoryHandleTypeNvSciBuf. For all other types of cudaExternalSemaphore_t, flags must be zero. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitParams _pvt_val cdef cyruntime.cudaExternalSemaphoreWaitParams* _pvt_ptr cdef anon_struct16 _params cdef class cudaDevSmResource: """ Data for SM-related resources All parameters in this structure are OUTPUT only. Do not write to any of the fields in this structure. Attributes ---------- smCount : unsigned int The amount of streaming multiprocessors available in this resource. minSmPartitionSize : unsigned int The minimum number of streaming multiprocessors required to partition this resource. smCoscheduledAlignment : unsigned int The number of streaming multiprocessors in this resource that are guaranteed to be co-scheduled on the same GPU processing cluster. smCount will be a multiple of this value, unless the backfill flag is set. flags : unsigned int The flags set on this SM resource. For available flags see cudaDevSmResourceGroup_flags. localityDomainId : unsigned int Locality domain that the SM must be located on. Only valid if cudaDevSmResourceConstraintTypeLocalityDomainId is set in flags Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevSmResource _pvt_val cdef cyruntime.cudaDevSmResource* _pvt_ptr cdef class cudaDevWorkqueueConfigResource: """ Data for workqueue configuration related resources Attributes ---------- device : int The device on which the workqueue resources are available wqConcurrencyLimit : unsigned int The expected maximum number of concurrent stream-ordered workloads sharingScope : cudaDevWorkqueueConfigScope The sharing scope for the workqueue resources Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevWorkqueueConfigResource _pvt_val cdef cyruntime.cudaDevWorkqueueConfigResource* _pvt_ptr cdef class cudaDevWorkqueueResource: """ Handle to a pre-existing workqueue related resource Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevWorkqueueResource _pvt_val cdef cyruntime.cudaDevWorkqueueResource* _pvt_ptr cdef class cudaDevSmResourceGroupParams_st: """ Input data for splitting SMs Attributes ---------- smCount : unsigned int The amount of SMs available in this resource. coscheduledSmCount : unsigned int The amount of co-scheduled SMs grouped together for locality purposes. preferredCoscheduledSmCount : unsigned int When possible, combine co-scheduled groups together into larger groups of this size. flags : unsigned int Combination of `cudaDevSmResourceGroup_flags` values to indicate this this group is created. localityDomainId : unsigned int Locality domain that the SM must be located on. Only valid if cudaDevSmResourceGroupLocalityDomainId is set in flags Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevSmResourceGroupParams_st _pvt_val cdef cyruntime.cudaDevSmResourceGroupParams_st* _pvt_ptr cdef class cudaDevResource_st: """ A tagged union describing different resources identified by the type field. This structure should not be directly modified outside of the API that created it. struct enumcudaDevResourceTypetype; union structcudaDevSmResourcesm; structcudaDevWorkqueueConfigResourcewqConfig; structcudaDevWorkqueueResourcewq; ; ; - If `typename` is `cudaDevResourceTypeInvalid`, this resoure is not valid and cannot be further accessed. - If `typename` is `cudaDevResourceTypeSm`, the cudaDevSmResource structure `sm` is filled in. For example, `sm.smCount` will reflect the amount of streaming multiprocessors available in this resource. - If `typename` is `cudaDevResourceTypeWorkqueueConfig`, the cudaDevWorkqueueConfigResource structure `wqConfig` is filled in. - If `typename` is `cudaDevResourceTypeWorkqueue`, the cudaDevWorkqueueResource structure `wq` is filled in. Attributes ---------- type : cudaDevResourceType Type of resource, dictates which union field was last set _internal_padding : bytes sm : cudaDevSmResource Resource corresponding to cudaDevResourceTypeSm `typename`. wqConfig : cudaDevWorkqueueConfigResource Resource corresponding to cudaDevResourceTypeWorkqueueConfig `typename`. wq : cudaDevWorkqueueResource Resource corresponding to cudaDevResourceTypeWorkqueue `typename`. _oversize : bytes nextResource : cudaDevResource_st Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaDevResource_st* _val_ptr cdef cyruntime.cudaDevResource_st* _pvt_ptr cdef cudaDevSmResource _sm cdef cudaDevWorkqueueConfigResource _wqConfig cdef cudaDevWorkqueueResource _wq cdef size_t _nextResource_length cdef cyruntime.cudaDevResource_st* _nextResource cdef class cudalibraryHostUniversalFunctionAndDataTable: """ Attributes ---------- functionTable : Any functionWindowSize : size_t dataTable : Any dataWindowSize : size_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudalibraryHostUniversalFunctionAndDataTable _pvt_val cdef cyruntime.cudalibraryHostUniversalFunctionAndDataTable* _pvt_ptr cdef _HelperInputVoidPtr _cyfunctionTable cdef _HelperInputVoidPtr _cydataTable cdef class cudaKernelNodeParams: """ CUDA GPU kernel node parameters Attributes ---------- func : Any Kernel to launch gridDim : dim3 Grid dimensions blockDim : dim3 Block dimensions sharedMemBytes : unsigned int Dynamic shared-memory size per thread block in bytes kernelParams : Any Array of pointers to individual kernel arguments extra : Any Pointer to kernel arguments in the "extra" format Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaKernelNodeParams _pvt_val cdef cyruntime.cudaKernelNodeParams* _pvt_ptr cdef _HelperInputVoidPtr _cyfunc cdef dim3 _gridDim cdef dim3 _blockDim cdef _HelperKernelParams _cykernelParams cdef class cudaKernelNodeParamsV2: """ CUDA GPU kernel node parameters Attributes ---------- func : Any functionType = cudaKernelFucntionTypeDevice kern : cudaKernel_t functionType = cudaKernelFucntionTypeKernel cuFunc : cudaFunction_t functionType = cudaKernelFucntionTypeFunction gridDim : dim3 Grid dimensions blockDim : dim3 Block dimensions sharedMemBytes : unsigned int Dynamic shared-memory size per thread block in bytes kernelParams : Any Array of pointers to individual kernel arguments extra : Any Pointer to kernel arguments in the "extra" format ctx : cudaExecutionContext_t Context in which to run the kernel. If NULL will try to use the current context. functionType : cudaKernelFunctionType Type of handle passed in the func/kern/cuFunc union above Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaKernelNodeParamsV2* _val_ptr cdef cyruntime.cudaKernelNodeParamsV2* _pvt_ptr cdef _HelperInputVoidPtr _cyfunc cdef cudaKernel_t _kern cdef cudaFunction_t _cuFunc cdef dim3 _gridDim cdef dim3 _blockDim cdef _HelperKernelParams _cykernelParams cdef cudaExecutionContext_t _ctx cdef class cudaExternalSemaphoreSignalNodeParams: """ External semaphore signal node parameters Attributes ---------- extSemArray : cudaExternalSemaphore_t Array of external semaphore handles. paramsArray : cudaExternalSemaphoreSignalParams Array of external semaphore signal parameters. numExtSems : unsigned int Number of handles and parameters supplied in extSemArray and paramsArray. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalNodeParams _pvt_val cdef cyruntime.cudaExternalSemaphoreSignalNodeParams* _pvt_ptr cdef size_t _extSemArray_length cdef cyruntime.cudaExternalSemaphore_t* _extSemArray cdef size_t _paramsArray_length cdef cyruntime.cudaExternalSemaphoreSignalParams* _paramsArray cdef class cudaExternalSemaphoreSignalNodeParamsV2: """ External semaphore signal node parameters Attributes ---------- extSemArray : cudaExternalSemaphore_t Array of external semaphore handles. paramsArray : cudaExternalSemaphoreSignalParams Array of external semaphore signal parameters. numExtSems : unsigned int Number of handles and parameters supplied in extSemArray and paramsArray. ctx : cudaExecutionContext_t CUDA Execution Context Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreSignalNodeParamsV2 _pvt_val cdef cyruntime.cudaExternalSemaphoreSignalNodeParamsV2* _pvt_ptr cdef size_t _extSemArray_length cdef cyruntime.cudaExternalSemaphore_t* _extSemArray cdef size_t _paramsArray_length cdef cyruntime.cudaExternalSemaphoreSignalParams* _paramsArray cdef cudaExecutionContext_t _ctx cdef class cudaExternalSemaphoreWaitNodeParams: """ External semaphore wait node parameters Attributes ---------- extSemArray : cudaExternalSemaphore_t Array of external semaphore handles. paramsArray : cudaExternalSemaphoreWaitParams Array of external semaphore wait parameters. numExtSems : unsigned int Number of handles and parameters supplied in extSemArray and paramsArray. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitNodeParams _pvt_val cdef cyruntime.cudaExternalSemaphoreWaitNodeParams* _pvt_ptr cdef size_t _extSemArray_length cdef cyruntime.cudaExternalSemaphore_t* _extSemArray cdef size_t _paramsArray_length cdef cyruntime.cudaExternalSemaphoreWaitParams* _paramsArray cdef class cudaExternalSemaphoreWaitNodeParamsV2: """ External semaphore wait node parameters Attributes ---------- extSemArray : cudaExternalSemaphore_t Array of external semaphore handles. paramsArray : cudaExternalSemaphoreWaitParams Array of external semaphore wait parameters. numExtSems : unsigned int Number of handles and parameters supplied in extSemArray and paramsArray. ctx : cudaExecutionContext_t CUDA Execution Context Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaExternalSemaphoreWaitNodeParamsV2 _pvt_val cdef cyruntime.cudaExternalSemaphoreWaitNodeParamsV2* _pvt_ptr cdef size_t _extSemArray_length cdef cyruntime.cudaExternalSemaphore_t* _extSemArray cdef size_t _paramsArray_length cdef cyruntime.cudaExternalSemaphoreWaitParams* _paramsArray cdef cudaExecutionContext_t _ctx cdef class cudaConditionalNodeParams: """ CUDA conditional node parameters Attributes ---------- handle : cudaGraphConditionalHandle Conditional node handle. Handles must be created in advance of creating the node using cudaGraphConditionalHandleCreate. type : cudaGraphConditionalNodeType Type of conditional node. size : unsigned int Size of graph output array. Allowed values are 1 for cudaGraphCondTypeWhile, 1 or 2 for cudaGraphCondTypeIf, or any value greater than zero for cudaGraphCondTypeSwitch. phGraph_out : cudaGraph_t CUDA-owned array populated with conditional node child graphs during creation of the node. Valid for the lifetime of the conditional node. The contents of the graph(s) are subject to the following constraints: - Allowed node types are kernel nodes, empty nodes, child graphs, memsets, memcopies, and conditionals. This applies recursively to child graphs and conditional bodies. - All kernels, including kernels in nested conditionals or child graphs at any level, must belong to the same device context. These graphs may be populated using graph node creation APIs or cudaStreamBeginCaptureToGraph. cudaGraphCondTypeIf: phGraph_out[0] is executed when the condition is non-zero. If `size` == 2, phGraph_out[1] will be executed when the condition is zero. cudaGraphCondTypeWhile: phGraph_out[0] is executed as long as the condition is non-zero. cudaGraphCondTypeSwitch: phGraph_out[n] is executed when the condition is equal to n. If the condition >= `size`, no body graph is executed. ctx : cudaExecutionContext_t CUDA Execution Context Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaConditionalNodeParams _pvt_val cdef cyruntime.cudaConditionalNodeParams* _pvt_ptr cdef cudaGraphConditionalHandle _handle cdef size_t _phGraph_out_length cdef cyruntime.cudaGraph_t* _phGraph_out cdef cudaExecutionContext_t _ctx cdef class cudaChildGraphNodeParams: """ Child graph node parameters Attributes ---------- graph : cudaGraph_t The child graph to clone into the node for node creation, or a handle to the graph owned by the node for node query. The graph must not contain conditional nodes. Graphs containing memory allocation or memory free nodes must set the ownership to be moved to the parent. ownership : cudaGraphChildGraphNodeOwnership The ownership relationship of the child graph node. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaChildGraphNodeParams _pvt_val cdef cyruntime.cudaChildGraphNodeParams* _pvt_ptr cdef cudaGraph_t _graph cdef class cudaEventRecordNodeParams: """ Event record node parameters Attributes ---------- event : cudaEvent_t The event to record when the node executes ctx : cudaExecutionContext_t CUDA Execution Context Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaEventRecordNodeParams _pvt_val cdef cyruntime.cudaEventRecordNodeParams* _pvt_ptr cdef cudaEvent_t _event cdef cudaExecutionContext_t _ctx cdef class cudaEventWaitNodeParams: """ Event wait node parameters Attributes ---------- event : cudaEvent_t The event to wait on from the node Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaEventWaitNodeParams _pvt_val cdef cyruntime.cudaEventWaitNodeParams* _pvt_ptr cdef cudaEvent_t _event cdef class cudaGraphNodeParams: """ Graph node parameters. See cudaGraphAddNode. Attributes ---------- type : cudaGraphNodeType Type of the node kernel : cudaKernelNodeParamsV2 Kernel node parameters. memcpy : cudaMemcpyNodeParams Memcpy node parameters. memset : cudaMemsetParamsV2 Memset node parameters. host : cudaHostNodeParamsV2 Host node parameters. graph : cudaChildGraphNodeParams Child graph node parameters. eventWait : cudaEventWaitNodeParams Event wait node parameters. eventRecord : cudaEventRecordNodeParams Event record node parameters. extSemSignal : cudaExternalSemaphoreSignalNodeParamsV2 External semaphore signal node parameters. extSemWait : cudaExternalSemaphoreWaitNodeParamsV2 External semaphore wait node parameters. alloc : cudaMemAllocNodeParamsV2 Memory allocation node parameters. free : cudaMemFreeNodeParams Memory free node parameters. conditional : cudaConditionalNodeParams Conditional node parameters. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphNodeParams* _val_ptr cdef cyruntime.cudaGraphNodeParams* _pvt_ptr cdef cudaKernelNodeParamsV2 _kernel cdef cudaMemcpyNodeParams _memcpy cdef cudaMemsetParamsV2 _memset cdef cudaHostNodeParamsV2 _host cdef cudaChildGraphNodeParams _graph cdef cudaEventWaitNodeParams _eventWait cdef cudaEventRecordNodeParams _eventRecord cdef cudaExternalSemaphoreSignalNodeParamsV2 _extSemSignal cdef cudaExternalSemaphoreWaitNodeParamsV2 _extSemWait cdef cudaMemAllocNodeParamsV2 _alloc cdef cudaMemFreeNodeParams _free cdef cudaConditionalNodeParams _conditional cdef class cudaGraphEdgeData_st: """ Optional annotation for edges in a CUDA graph. Note, all edges implicitly have annotations and default to a zero-initialized value if not specified. A zero-initialized struct indicates a standard full serialization of two nodes with memory visibility. Attributes ---------- from_port : bytes This indicates when the dependency is triggered from the upstream node on the edge. The meaning is specfic to the node type. A value of 0 in all cases means full completion of the upstream node, with memory visibility to the downstream node or portion thereof (indicated by `to_port`). Only kernel nodes define non-zero ports. A kernel node can use the following output port types: cudaGraphKernelNodePortDefault, cudaGraphKernelNodePortProgrammatic, or cudaGraphKernelNodePortLaunchCompletion. to_port : bytes This indicates what portion of the downstream node is dependent on the upstream node or portion thereof (indicated by `from_port`). The meaning is specific to the node type. A value of 0 in all cases means the entirety of the downstream node is dependent on the upstream work. Currently no node types define non-zero ports. Accordingly, this field must be set to zero. type : bytes This should be populated with a value from cudaGraphDependencyType. (It is typed as char due to compiler-specific layout of bitfields.) See cudaGraphDependencyType. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphEdgeData_st _pvt_val cdef cyruntime.cudaGraphEdgeData_st* _pvt_ptr cdef class cudaGraphInstantiateParams_st: """ Graph instantiation parameters Attributes ---------- flags : unsigned long long Instantiation flags uploadStream : cudaStream_t Upload stream errNode_out : cudaGraphNode_t The node which caused instantiation to fail, if any result_out : cudaGraphInstantiateResult Whether instantiation was successful. If it failed, the reason why Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphInstantiateParams_st _pvt_val cdef cyruntime.cudaGraphInstantiateParams_st* _pvt_ptr cdef cudaStream_t _uploadStream cdef cudaGraphNode_t _errNode_out cdef class cudaGraphExecUpdateResultInfo_st: """ Result information returned by cudaGraphExecUpdate Attributes ---------- result : cudaGraphExecUpdateResult Gives more specific detail when a cuda graph update fails. errorNode : cudaGraphNode_t The "to node" of the error edge when the topologies do not match. The error node when the error is associated with a specific node. NULL when the error is generic. errorFromNode : cudaGraphNode_t The from node of error edge when the topologies do not match. Otherwise NULL. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphExecUpdateResultInfo_st _pvt_val cdef cyruntime.cudaGraphExecUpdateResultInfo_st* _pvt_ptr cdef cudaGraphNode_t _errorNode cdef cudaGraphNode_t _errorFromNode cdef class anon_struct17: """ Attributes ---------- pValue : Any offset : size_t size : size_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphKernelNodeUpdate* _pvt_ptr cdef _HelperInputVoidPtr _cypValue cdef class anon_union11: """ Attributes ---------- gridDim : dim3 param : anon_struct17 isEnabled : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphKernelNodeUpdate* _pvt_ptr cdef dim3 _gridDim cdef anon_struct17 _param cdef class cudaGraphKernelNodeUpdate: """ Struct to specify a single node update to pass as part of a larger array to ::cudaGraphKernelNodeUpdatesApply Attributes ---------- node : cudaGraphDeviceNode_t Node to update field : cudaGraphKernelNodeField Which type of update to apply. Determines how updateData is interpreted updateData : anon_union11 Update data to apply. Which field is used depends on field's value Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphKernelNodeUpdate* _val_ptr cdef cyruntime.cudaGraphKernelNodeUpdate* _pvt_ptr cdef cudaGraphDeviceNode_t _node cdef anon_union11 _updateData cdef class cudaLaunchMemSyncDomainMap_st: """ Memory Synchronization Domain map See cudaLaunchMemSyncDomain. By default, kernels are launched in domain 0. Kernel launched with cudaLaunchMemSyncDomainRemote will have a different domain ID. User may also alter the domain ID with cudaLaunchMemSyncDomainMap for a specific stream / graph node / kernel launch. See cudaLaunchAttributeMemSyncDomainMap. Domain ID range is available through cudaDevAttrMemSyncDomainCount. Attributes ---------- default_ : bytes The default domain ID to use for designated kernels remote : bytes The remote domain ID to use for designated kernels Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchMemSyncDomainMap_st _pvt_val cdef cyruntime.cudaLaunchMemSyncDomainMap_st* _pvt_ptr cdef class anon_struct18: """ Attributes ---------- x : unsigned int y : unsigned int z : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef class anon_struct19: """ Attributes ---------- event : cudaEvent_t flags : int triggerAtBlockStart : int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef cudaEvent_t _event cdef class anon_struct20: """ Attributes ---------- x : unsigned int y : unsigned int z : unsigned int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef class anon_struct21: """ Attributes ---------- event : cudaEvent_t flags : int Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef cudaEvent_t _event cdef class anon_struct22: """ Attributes ---------- deviceUpdatable : int devNode : cudaGraphDeviceNode_t Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef cudaGraphDeviceNode_t _devNode cdef class cudaLaunchAttributeValue: """ Launch attributes union; used as value field of cudaLaunchAttribute Attributes ---------- pad : bytes accessPolicyWindow : cudaAccessPolicyWindow Value of launch attribute cudaLaunchAttributeAccessPolicyWindow. cooperative : int Value of launch attribute cudaLaunchAttributeCooperative. Nonzero indicates a cooperative kernel (see cudaLaunchCooperativeKernel). syncPolicy : cudaSynchronizationPolicy Value of launch attribute cudaLaunchAttributeSynchronizationPolicy. cudaSynchronizationPolicy for work queued up in this stream. clusterDim : anon_struct18 Value of launch attribute cudaLaunchAttributeClusterDimension that represents the desired cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the cluster, in blocks. Must be a divisor of the grid X dimension. - `y` - The Y dimension of the cluster, in blocks. Must be a divisor of the grid Y dimension. - `z` - The Z dimension of the cluster, in blocks. Must be a divisor of the grid Z dimension. clusterSchedulingPolicyPreference : cudaClusterSchedulingPolicy Value of launch attribute cudaLaunchAttributeClusterSchedulingPolicyPreference. Cluster scheduling policy preference for the kernel. programmaticStreamSerializationAllowed : int Value of launch attribute cudaLaunchAttributeProgrammaticStreamSerialization. programmaticEvent : anon_struct19 Value of launch attribute cudaLaunchAttributeProgrammaticEvent with the following fields: - `cudaEvent_t` event - Event to fire when all blocks trigger it. - `int` flags; - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. - `int` triggerAtBlockStart - If this is set to non-0, each block launch will automatically trigger the event. priority : int Value of launch attribute cudaLaunchAttributePriority. Execution priority of the kernel. memSyncDomainMap : cudaLaunchMemSyncDomainMap Value of launch attribute cudaLaunchAttributeMemSyncDomainMap. See cudaLaunchMemSyncDomainMap. memSyncDomain : cudaLaunchMemSyncDomain Value of launch attribute cudaLaunchAttributeMemSyncDomain. See cudaLaunchMemSyncDomain. preferredClusterDim : anon_struct20 Value of launch attribute cudaLaunchAttributePreferredClusterDimension that represents the desired preferred cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the preferred cluster, in blocks. Must be a divisor of the grid X dimension, and must be a multiple of the `x` field of cudaLaunchAttributeValue::clusterDim. - `y` - The Y dimension of the preferred cluster, in blocks. Must be a divisor of the grid Y dimension, and must be a multiple of the `y` field of cudaLaunchAttributeValue::clusterDim. - `z` - The Z dimension of the preferred cluster, in blocks. Must be equal to the `z` field of cudaLaunchAttributeValue::clusterDim. launchCompletionEvent : anon_struct21 Value of launch attribute cudaLaunchAttributeLaunchCompletionEvent with the following fields: - `cudaEvent_t` event - Event to fire when the last block launches. - `int` flags - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. deviceUpdatableKernelNode : anon_struct22 Value of launch attribute cudaLaunchAttributeDeviceUpdatableKernelNode with the following fields: - `int` deviceUpdatable - Whether or not the resulting kernel node should be device-updatable. - `cudaGraphDeviceNode_t` devNode - Returns a handle to pass to the various device-side update functions. sharedMemCarveout : unsigned int Value of launch attribute cudaLaunchAttributePreferredSharedMemoryCarveout. nvlinkUtilCentricScheduling : unsigned int Value of launch attribute cudaLaunchAttributeNvlinkUtilCentricScheduling. portableClusterSizeMode : cudaLaunchAttributePortableClusterMode Value of launch attribute cudaLaunchAttributePortableClusterSizeMode sharedMemoryMode : cudaSharedMemoryMode Value of launch attribute cudaLaunchAttributeSharedMemoryMode. See cudaSharedMemoryMode for acceptable values. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttributeValue _pvt_val cdef cyruntime.cudaLaunchAttributeValue* _pvt_ptr cdef cudaAccessPolicyWindow _accessPolicyWindow cdef anon_struct18 _clusterDim cdef anon_struct19 _programmaticEvent cdef cudaLaunchMemSyncDomainMap _memSyncDomainMap cdef anon_struct20 _preferredClusterDim cdef anon_struct21 _launchCompletionEvent cdef anon_struct22 _deviceUpdatableKernelNode cdef class cudaLaunchAttribute_st: """ Launch attribute Attributes ---------- id : cudaLaunchAttributeID Attribute to set val : cudaLaunchAttributeValue Value of the attribute Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLaunchAttribute_st _pvt_val cdef cyruntime.cudaLaunchAttribute_st* _pvt_ptr cdef cudaLaunchAttributeValue _val cdef class anon_struct23: """ Attributes ---------- bytesOverBudget : unsigned long long Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAsyncNotificationInfo* _pvt_ptr cdef class anon_union12: """ Attributes ---------- overBudget : anon_struct23 Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAsyncNotificationInfo* _pvt_ptr cdef anon_struct23 _overBudget cdef class cudaAsyncNotificationInfo: """ Information describing an async notification event Attributes ---------- type : cudaAsyncNotificationType The type of notification being sent info : anon_union12 Information about the notification. `typename` must be checked in order to interpret this field. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaAsyncNotificationInfo* _val_ptr cdef cyruntime.cudaAsyncNotificationInfo* _pvt_ptr cdef anon_union12 _info cdef class cudaTextureDesc: """ CUDA texture descriptor Attributes ---------- addressMode : list[cudaTextureAddressMode] Texture address mode for up to 3 dimensions filterMode : cudaTextureFilterMode Texture filter mode readMode : cudaTextureReadMode Texture read mode sRGB : int Perform sRGB->linear conversion during texture read borderColor : list[float] Texture Border Color normalizedCoords : int Indicates whether texture reads are normalized or not maxAnisotropy : unsigned int Limit to the anisotropy ratio mipmapFilterMode : cudaTextureFilterMode Mipmap filter mode mipmapLevelBias : float Offset applied to the supplied mipmap level minMipmapLevelClamp : float Lower end of the mipmap level range to clamp access to maxMipmapLevelClamp : float Upper end of the mipmap level range to clamp access to disableTrilinearOptimization : int Disable any trilinear filtering optimizations. seamlessCubemap : int Enable seamless cube map filtering. Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaTextureDesc _pvt_val cdef cyruntime.cudaTextureDesc* _pvt_ptr cdef class cudaGraphRecaptureCallbackData: """ Struct of user callback data that is invoked when node parameter mismatches are detected while recapturing to an existing graph Attributes ---------- callbackFunc : cudaGraphRecaptureCallback_t Callback function that will be invoked userData : Any Generic pointer that is passed to the callback function Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphRecaptureCallbackData _pvt_val cdef cyruntime.cudaGraphRecaptureCallbackData* _pvt_ptr cdef cudaGraphRecaptureCallback_t _callbackFunc cdef _HelperInputVoidPtr _cyuserData cdef class cudaEglPlaneDesc_st: """ CUDA EGL Plane Descriptor - structure defining each plane of a CUDA EGLFrame Attributes ---------- width : unsigned int Width of plane height : unsigned int Height of plane depth : unsigned int Depth of plane pitch : unsigned int Pitch of plane numChannels : unsigned int Number of channels for the plane channelDesc : cudaChannelFormatDesc Channel Format Descriptor Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaEglPlaneDesc_st _pvt_val cdef cyruntime.cudaEglPlaneDesc_st* _pvt_ptr cdef cudaChannelFormatDesc _channelDesc cdef class anon_union13: """ Attributes ---------- pArray : list[cudaArray_t] pPitch : list[cudaPitchedPtr] Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaEglFrame_st* _pvt_ptr cdef class cudaEglFrame_st: """ CUDA EGLFrame Descriptor - structure defining one frame of EGL. Each frame may contain one or more planes depending on whether the surface is Multiplanar or not. Each plane of EGLFrame is represented by cudaEglPlaneDesc which is defined as: typedefstructcudaEglPlaneDesc_st unsignedintwidth; unsignedintheight; unsignedintdepth; unsignedintpitch; unsignedintnumChannels; structcudaChannelFormatDescchannelDesc; unsignedintreserved[4]; cudaEglPlaneDesc; Attributes ---------- frame : anon_union13 planeDesc : list[cudaEglPlaneDesc] CUDA EGL Plane Descriptor cudaEglPlaneDesc planeCount : unsigned int Number of planes frameType : cudaEglFrameType Array or Pitch eglColorFormat : cudaEglColorFormat CUDA EGL Color Format Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaEglFrame_st* _val_ptr cdef cyruntime.cudaEglFrame_st* _pvt_ptr cdef anon_union13 _frame cdef class CUuuid(CUuuid_st): """ Attributes ---------- bytes : bytes < CUDA definition of UUID Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaUUID_t(CUuuid_st): """ Attributes ---------- bytes : bytes < CUDA definition of UUID Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaIpcEventHandle_t(cudaIpcEventHandle_st): """ CUDA IPC event handle Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaIpcMemHandle_t(cudaIpcMemHandle_st): """ CUDA IPC memory handle Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaMemFabricHandle_t(cudaMemFabricHandle_st): """ Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaDevSmResourceGroupParams(cudaDevSmResourceGroupParams_st): """ Input data for splitting SMs Attributes ---------- smCount : unsigned int The amount of SMs available in this resource. coscheduledSmCount : unsigned int The amount of co-scheduled SMs grouped together for locality purposes. preferredCoscheduledSmCount : unsigned int When possible, combine co-scheduled groups together into larger groups of this size. flags : unsigned int Combination of `cudaDevSmResourceGroup_flags` values to indicate this this group is created. localityDomainId : unsigned int Locality domain that the SM must be located on. Only valid if cudaDevSmResourceGroupLocalityDomainId is set in flags Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaDevResource(cudaDevResource_st): """ A tagged union describing different resources identified by the type field. This structure should not be directly modified outside of the API that created it. struct enumcudaDevResourceTypetype; union structcudaDevSmResourcesm; structcudaDevWorkqueueConfigResourcewqConfig; structcudaDevWorkqueueResourcewq; ; ; - If `typename` is `cudaDevResourceTypeInvalid`, this resoure is not valid and cannot be further accessed. - If `typename` is `cudaDevResourceTypeSm`, the cudaDevSmResource structure `sm` is filled in. For example, `sm.smCount` will reflect the amount of streaming multiprocessors available in this resource. - If `typename` is `cudaDevResourceTypeWorkqueueConfig`, the cudaDevWorkqueueConfigResource structure `wqConfig` is filled in. - If `typename` is `cudaDevResourceTypeWorkqueue`, the cudaDevWorkqueueResource structure `wq` is filled in. Attributes ---------- type : cudaDevResourceType Type of resource, dictates which union field was last set _internal_padding : bytes sm : cudaDevSmResource Resource corresponding to cudaDevResourceTypeSm `typename`. wqConfig : cudaDevWorkqueueConfigResource Resource corresponding to cudaDevResourceTypeWorkqueueConfig `typename`. wq : cudaDevWorkqueueResource Resource corresponding to cudaDevResourceTypeWorkqueue `typename`. _oversize : bytes nextResource : cudaDevResource_st Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphEdgeData(cudaGraphEdgeData_st): """ Optional annotation for edges in a CUDA graph. Note, all edges implicitly have annotations and default to a zero-initialized value if not specified. A zero-initialized struct indicates a standard full serialization of two nodes with memory visibility. Attributes ---------- from_port : bytes This indicates when the dependency is triggered from the upstream node on the edge. The meaning is specfic to the node type. A value of 0 in all cases means full completion of the upstream node, with memory visibility to the downstream node or portion thereof (indicated by `to_port`). Only kernel nodes define non-zero ports. A kernel node can use the following output port types: cudaGraphKernelNodePortDefault, cudaGraphKernelNodePortProgrammatic, or cudaGraphKernelNodePortLaunchCompletion. to_port : bytes This indicates what portion of the downstream node is dependent on the upstream node or portion thereof (indicated by `from_port`). The meaning is specific to the node type. A value of 0 in all cases means the entirety of the downstream node is dependent on the upstream work. Currently no node types define non-zero ports. Accordingly, this field must be set to zero. type : bytes This should be populated with a value from cudaGraphDependencyType. (It is typed as char due to compiler-specific layout of bitfields.) See cudaGraphDependencyType. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphInstantiateParams(cudaGraphInstantiateParams_st): """ Graph instantiation parameters Attributes ---------- flags : unsigned long long Instantiation flags uploadStream : cudaStream_t Upload stream errNode_out : cudaGraphNode_t The node which caused instantiation to fail, if any result_out : cudaGraphInstantiateResult Whether instantiation was successful. If it failed, the reason why Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphExecUpdateResultInfo(cudaGraphExecUpdateResultInfo_st): """ Result information returned by cudaGraphExecUpdate Attributes ---------- result : cudaGraphExecUpdateResult Gives more specific detail when a cuda graph update fails. errorNode : cudaGraphNode_t The "to node" of the error edge when the topologies do not match. The error node when the error is associated with a specific node. NULL when the error is generic. errorFromNode : cudaGraphNode_t The from node of error edge when the topologies do not match. Otherwise NULL. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaLaunchMemSyncDomainMap(cudaLaunchMemSyncDomainMap_st): """ Memory Synchronization Domain map See cudaLaunchMemSyncDomain. By default, kernels are launched in domain 0. Kernel launched with cudaLaunchMemSyncDomainRemote will have a different domain ID. User may also alter the domain ID with cudaLaunchMemSyncDomainMap for a specific stream / graph node / kernel launch. See cudaLaunchAttributeMemSyncDomainMap. Domain ID range is available through cudaDevAttrMemSyncDomainCount. Attributes ---------- default_ : bytes The default domain ID to use for designated kernels remote : bytes The remote domain ID to use for designated kernels Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaLaunchAttribute(cudaLaunchAttribute_st): """ Launch attribute Attributes ---------- id : cudaLaunchAttributeID Attribute to set val : cudaLaunchAttributeValue Value of the attribute Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaAsyncNotificationInfo_t(cudaAsyncNotificationInfo): """ Information describing an async notification event Attributes ---------- type : cudaAsyncNotificationType The type of notification being sent info : anon_union12 Information about the notification. `typename` must be checked in order to interpret this field. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaStreamAttrValue(cudaLaunchAttributeValue): """ Launch attributes union; used as value field of cudaLaunchAttribute Attributes ---------- pad : bytes accessPolicyWindow : cudaAccessPolicyWindow Value of launch attribute cudaLaunchAttributeAccessPolicyWindow. cooperative : int Value of launch attribute cudaLaunchAttributeCooperative. Nonzero indicates a cooperative kernel (see cudaLaunchCooperativeKernel). syncPolicy : cudaSynchronizationPolicy Value of launch attribute cudaLaunchAttributeSynchronizationPolicy. cudaSynchronizationPolicy for work queued up in this stream. clusterDim : anon_struct18 Value of launch attribute cudaLaunchAttributeClusterDimension that represents the desired cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the cluster, in blocks. Must be a divisor of the grid X dimension. - `y` - The Y dimension of the cluster, in blocks. Must be a divisor of the grid Y dimension. - `z` - The Z dimension of the cluster, in blocks. Must be a divisor of the grid Z dimension. clusterSchedulingPolicyPreference : cudaClusterSchedulingPolicy Value of launch attribute cudaLaunchAttributeClusterSchedulingPolicyPreference. Cluster scheduling policy preference for the kernel. programmaticStreamSerializationAllowed : int Value of launch attribute cudaLaunchAttributeProgrammaticStreamSerialization. programmaticEvent : anon_struct19 Value of launch attribute cudaLaunchAttributeProgrammaticEvent with the following fields: - `cudaEvent_t` event - Event to fire when all blocks trigger it. - `int` flags; - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. - `int` triggerAtBlockStart - If this is set to non-0, each block launch will automatically trigger the event. priority : int Value of launch attribute cudaLaunchAttributePriority. Execution priority of the kernel. memSyncDomainMap : cudaLaunchMemSyncDomainMap Value of launch attribute cudaLaunchAttributeMemSyncDomainMap. See cudaLaunchMemSyncDomainMap. memSyncDomain : cudaLaunchMemSyncDomain Value of launch attribute cudaLaunchAttributeMemSyncDomain. See cudaLaunchMemSyncDomain. preferredClusterDim : anon_struct20 Value of launch attribute cudaLaunchAttributePreferredClusterDimension that represents the desired preferred cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the preferred cluster, in blocks. Must be a divisor of the grid X dimension, and must be a multiple of the `x` field of cudaLaunchAttributeValue::clusterDim. - `y` - The Y dimension of the preferred cluster, in blocks. Must be a divisor of the grid Y dimension, and must be a multiple of the `y` field of cudaLaunchAttributeValue::clusterDim. - `z` - The Z dimension of the preferred cluster, in blocks. Must be equal to the `z` field of cudaLaunchAttributeValue::clusterDim. launchCompletionEvent : anon_struct21 Value of launch attribute cudaLaunchAttributeLaunchCompletionEvent with the following fields: - `cudaEvent_t` event - Event to fire when the last block launches. - `int` flags - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. deviceUpdatableKernelNode : anon_struct22 Value of launch attribute cudaLaunchAttributeDeviceUpdatableKernelNode with the following fields: - `int` deviceUpdatable - Whether or not the resulting kernel node should be device-updatable. - `cudaGraphDeviceNode_t` devNode - Returns a handle to pass to the various device-side update functions. sharedMemCarveout : unsigned int Value of launch attribute cudaLaunchAttributePreferredSharedMemoryCarveout. nvlinkUtilCentricScheduling : unsigned int Value of launch attribute cudaLaunchAttributeNvlinkUtilCentricScheduling. portableClusterSizeMode : cudaLaunchAttributePortableClusterMode Value of launch attribute cudaLaunchAttributePortableClusterSizeMode sharedMemoryMode : cudaSharedMemoryMode Value of launch attribute cudaLaunchAttributeSharedMemoryMode. See cudaSharedMemoryMode for acceptable values. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaKernelNodeAttrValue(cudaLaunchAttributeValue): """ Launch attributes union; used as value field of cudaLaunchAttribute Attributes ---------- pad : bytes accessPolicyWindow : cudaAccessPolicyWindow Value of launch attribute cudaLaunchAttributeAccessPolicyWindow. cooperative : int Value of launch attribute cudaLaunchAttributeCooperative. Nonzero indicates a cooperative kernel (see cudaLaunchCooperativeKernel). syncPolicy : cudaSynchronizationPolicy Value of launch attribute cudaLaunchAttributeSynchronizationPolicy. cudaSynchronizationPolicy for work queued up in this stream. clusterDim : anon_struct18 Value of launch attribute cudaLaunchAttributeClusterDimension that represents the desired cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the cluster, in blocks. Must be a divisor of the grid X dimension. - `y` - The Y dimension of the cluster, in blocks. Must be a divisor of the grid Y dimension. - `z` - The Z dimension of the cluster, in blocks. Must be a divisor of the grid Z dimension. clusterSchedulingPolicyPreference : cudaClusterSchedulingPolicy Value of launch attribute cudaLaunchAttributeClusterSchedulingPolicyPreference. Cluster scheduling policy preference for the kernel. programmaticStreamSerializationAllowed : int Value of launch attribute cudaLaunchAttributeProgrammaticStreamSerialization. programmaticEvent : anon_struct19 Value of launch attribute cudaLaunchAttributeProgrammaticEvent with the following fields: - `cudaEvent_t` event - Event to fire when all blocks trigger it. - `int` flags; - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. - `int` triggerAtBlockStart - If this is set to non-0, each block launch will automatically trigger the event. priority : int Value of launch attribute cudaLaunchAttributePriority. Execution priority of the kernel. memSyncDomainMap : cudaLaunchMemSyncDomainMap Value of launch attribute cudaLaunchAttributeMemSyncDomainMap. See cudaLaunchMemSyncDomainMap. memSyncDomain : cudaLaunchMemSyncDomain Value of launch attribute cudaLaunchAttributeMemSyncDomain. See cudaLaunchMemSyncDomain. preferredClusterDim : anon_struct20 Value of launch attribute cudaLaunchAttributePreferredClusterDimension that represents the desired preferred cluster dimensions for the kernel. Opaque type with the following fields: - `x` - The X dimension of the preferred cluster, in blocks. Must be a divisor of the grid X dimension, and must be a multiple of the `x` field of cudaLaunchAttributeValue::clusterDim. - `y` - The Y dimension of the preferred cluster, in blocks. Must be a divisor of the grid Y dimension, and must be a multiple of the `y` field of cudaLaunchAttributeValue::clusterDim. - `z` - The Z dimension of the preferred cluster, in blocks. Must be equal to the `z` field of cudaLaunchAttributeValue::clusterDim. launchCompletionEvent : anon_struct21 Value of launch attribute cudaLaunchAttributeLaunchCompletionEvent with the following fields: - `cudaEvent_t` event - Event to fire when the last block launches. - `int` flags - Event record flags, see cudaEventRecordWithFlags. Does not accept cudaEventRecordExternal. deviceUpdatableKernelNode : anon_struct22 Value of launch attribute cudaLaunchAttributeDeviceUpdatableKernelNode with the following fields: - `int` deviceUpdatable - Whether or not the resulting kernel node should be device-updatable. - `cudaGraphDeviceNode_t` devNode - Returns a handle to pass to the various device-side update functions. sharedMemCarveout : unsigned int Value of launch attribute cudaLaunchAttributePreferredSharedMemoryCarveout. nvlinkUtilCentricScheduling : unsigned int Value of launch attribute cudaLaunchAttributeNvlinkUtilCentricScheduling. portableClusterSizeMode : cudaLaunchAttributePortableClusterMode Value of launch attribute cudaLaunchAttributePortableClusterSizeMode sharedMemoryMode : cudaSharedMemoryMode Value of launch attribute cudaLaunchAttributeSharedMemoryMode. See cudaSharedMemoryMode for acceptable values. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaEglPlaneDesc(cudaEglPlaneDesc_st): """ CUDA EGL Plane Descriptor - structure defining each plane of a CUDA EGLFrame Attributes ---------- width : unsigned int Width of plane height : unsigned int Height of plane depth : unsigned int Depth of plane pitch : unsigned int Pitch of plane numChannels : unsigned int Number of channels for the plane channelDesc : cudaChannelFormatDesc Channel Format Descriptor Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaEglFrame(cudaEglFrame_st): """ CUDA EGLFrame Descriptor - structure defining one frame of EGL. Each frame may contain one or more planes depending on whether the surface is Multiplanar or not. Each plane of EGLFrame is represented by cudaEglPlaneDesc which is defined as: typedefstructcudaEglPlaneDesc_st unsignedintwidth; unsignedintheight; unsignedintdepth; unsignedintpitch; unsignedintnumChannels; structcudaChannelFormatDescchannelDesc; unsignedintreserved[4]; cudaEglPlaneDesc; Attributes ---------- frame : anon_union13 planeDesc : list[cudaEglPlaneDesc] CUDA EGL Plane Descriptor cudaEglPlaneDesc planeCount : unsigned int Number of planes frameType : cudaEglFrameType Array or Pitch eglColorFormat : cudaEglColorFormat CUDA EGL Color Format Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaStream_t(driver.CUstream): """ CUDA stream Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaEvent_t(driver.CUevent): """ CUDA event types Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraph_t(driver.CUgraph): """ CUDA graph Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphNode_t(driver.CUgraphNode): """ CUDA graph node. Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaUserObject_t(driver.CUuserObject): """ CUDA user object for graphs Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaFunction_t(driver.CUfunction): """ CUDA function Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaMemPool_t(driver.CUmemoryPool): """ CUDA memory pool Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphExec_t(driver.CUgraphExec): """ CUDA executable (launchable) graph Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaEglStreamConnection(driver.CUeglStreamConnection): """ CUDA EGLSream Connection Methods ------- getPtr() Get memory address of class instance """ pass cdef class cudaGraphConditionalHandle: """ CUDA handle for conditional graph nodes Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaGraphConditionalHandle _pvt_val cdef cyruntime.cudaGraphConditionalHandle* _pvt_ptr cdef class cudaLogIterator: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaLogIterator _pvt_val cdef cyruntime.cudaLogIterator* _pvt_ptr cdef class cudaSurfaceObject_t: """ An opaque value that represents a CUDA Surface object Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaSurfaceObject_t _pvt_val cdef cyruntime.cudaSurfaceObject_t* _pvt_ptr cdef class cudaTextureObject_t: """ An opaque value that represents a CUDA texture object Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.cudaTextureObject_t _pvt_val cdef cyruntime.cudaTextureObject_t* _pvt_ptr cdef class GLenum: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.GLenum _pvt_val cdef cyruntime.GLenum* _pvt_ptr cdef class GLuint: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.GLuint _pvt_val cdef cyruntime.GLuint* _pvt_ptr cdef class EGLint: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.EGLint _pvt_val cdef cyruntime.EGLint* _pvt_ptr cdef class VdpDevice: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.VdpDevice _pvt_val cdef cyruntime.VdpDevice* _pvt_ptr cdef class VdpGetProcAddress: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.VdpGetProcAddress _pvt_val cdef cyruntime.VdpGetProcAddress* _pvt_ptr cdef class VdpVideoSurface: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.VdpVideoSurface _pvt_val cdef cyruntime.VdpVideoSurface* _pvt_ptr cdef class VdpOutputSurface: """ Methods ------- getPtr() Get memory address of class instance """ cdef cyruntime.VdpOutputSurface _pvt_val cdef cyruntime.VdpOutputSurface* _pvt_ptr