3Ki! SSKJr SSKrSSKrSSKJr SSKJr SS/r "SS\R5r \RR\S5 SSS .S \S \ S-S \S-S S4Sjjrg))AnyN) _to_dlpack)Device DLDeviceType from_dlpackcP\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rSrSrSrSrg)r))))))) ) ) ) ) )r )))N)__name__ __module__ __qualname____firstlineno__kDLCPUkDLCUDA kDLCUDAHost kDLOpenCL kDLVulkankDLMetalkDLVPIkDLROCM kDLROCMHost kDLExtDevkDLCUDAManaged kDLOneAPI kDLWebGPU kDLHexagonkDLMAIA__static_attributes__rT/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/torch/utils/dlpack.pyrrsM FGKIIH FGKINIIJGr-ato_dlpack(tensor) -> PyCapsule Returns an opaque object (a "DLPack capsule") representing the tensor. .. note:: ``to_dlpack`` is a legacy DLPack interface. The capsule it returns cannot be used for anything in Python other than use it as input to ``from_dlpack``. The more idiomatic use of DLPack is to call ``from_dlpack`` directly on the tensor object - this works when that object has a ``__dlpack__`` method, which PyTorch and most other libraries indeed have now. .. warning:: Only call ``from_dlpack`` once per capsule produced with ``to_dlpack``. Behavior when a capsule is consumed multiple times is undefined. Args: tensor: a tensor to be exported The DLPack capsule shares the tensor's memory. )devicecopy ext_tensorr/r0returnz torch.Tensorc~[US5(GaI0nSUS'UnSnSnUbX#S'UR5nUb[U[5(a[R "U5n[U[R 5(d[ S[U535e[RRU5nXx:gnU(dXS 'U(aUSLa[S US US 35eUS [R[R4;ad[RRSUS35n US [R:Hn U (aU R S :XaSO U R n XS'Sn UR""S0UD6n U c%UR'SS5 UR""S0UD6n U c'UR'SS5 SnUR""S0UD6n U c$UR'S S5 UR""S0UD6n [RR)U 5n USLaU(dU(dU R+5n U(aU R-U5n U $UcUb [ S5eUn [RR)U 5$![$a GNf=f![$a Nf=f![$a Nf=f)a from_dlpack(ext_tensor) -> Tensor Converts a tensor from an external library into a ``torch.Tensor``. The returned PyTorch tensor will share the memory with the input tensor (which may have come from another library). Note that in-place operations will therefore also affect the data of the input tensor. This may lead to unexpected issues (e.g., other libraries may have read-only flags or immutable data structures), so the user should only do this if they know for sure that this is fine. Args: ext_tensor (object with ``__dlpack__`` attribute, or a DLPack capsule): The tensor or DLPack capsule to convert. If ``ext_tensor`` is a tensor (or ndarray) object, it must support the ``__dlpack__`` protocol (i.e., have a ``ext_tensor.__dlpack__`` method). Otherwise ``ext_tensor`` may be a DLPack capsule, which is an opaque ``PyCapsule`` instance, typically produced by a ``to_dlpack`` function or method. device (torch.device or str or None): An optional PyTorch device specifying where to place the new tensor. If None (default), the new tensor will be on the same device as ``ext_tensor``. copy (bool or None): An optional boolean indicating whether or not to copy ``self``. If None, PyTorch will copy only if necessary. Examples:: >>> import torch.utils.dlpack >>> t = torch.arange(4) # Convert a tensor directly (supported in PyTorch >= 1.10) >>> t2 = torch.from_dlpack(t) >>> t2[:2] = -1 # show that memory is shared >>> t2 tensor([-1, -1, 2, 3]) >>> t tensor([-1, -1, 2, 3]) # The old-style DLPack usage, with an intermediate capsule object >>> capsule = torch.utils.dlpack.to_dlpack(t) >>> capsule >>> t3 = torch.from_dlpack(capsule) >>> t3 tensor([-1, -1, 2, 3]) >>> t3[0] = -9 # now we're sharing memory between 3 tensors >>> t3 tensor([-9, -1, 2, 3]) >>> t2 tensor([-9, -1, 2, 3]) >>> t tensor([-9, -1, 2, 3]) __dlpack__)r r max_versionTFNr0z&from_dlpack: unsupported device type: dl_devicez&cannot move DLPack tensor from device z to z- without copying. Set copy=None or copy=True.rzcuda:r streamzQdevice and copy kwargs not supported when ext_tensor is already a DLPack capsule.r)hasattr__dlpack_device__ isinstancestrtorchr/AssertionErrortype_C_torchDeviceToDLDevice ValueErrorrrr$cudacurrent_stream cuda_streamr4 TypeErrorpop _from_dlpackcloneto)r1r/r0kwargsrequested_copyproducer_handled_copycross_device_transfer ext_devicetarget_dl_devicer7is_cuda stream_ptrdlpacktensors r.rr:s@z<(("$ &} $ %  !6N  113  &#&&f-fell33$'MdSYl^%\]] %xx>>vF &0%C !)&6{#%  JJ}d + #..88 > JJvt $$) ! #..88 > JJ{D )**4V4F&&v. T !*?H]\\^F !YYv&F   !1 c xx$$V,,Y       s65JJJ/ JJ J,+J,/ J<;J<)typingrr<enumtorch._Cr to_dlpack torch.typesr_Device__all__IntEnumrr? _add_docstrboolrrr-r.r^s ,)  4<<&Y!8" m-m- dNm- + m-  m-r-