[ThvSSKrSSKr"SS\R5r"SS\R5r\"5rg)Nc.^\rSrSrU4SjrSrSrU=r$)_ClassNamespacec6>[TU]SU-5 XlgNz torch.classes)super__init__name)selfr __class__s F/var/www/auris/envauris/lib/python3.13/site-packages/torch/_classes.pyr _ClassNamespace.__init__s 4/0 c[RRURU5nUc[ SURSUS35eU$)NzClass .z not registered!)torch_C _get_custom_class_python_wrapperr RuntimeError)r attrproxys r __getattr___ClassNamespace.__getattr__ sE99$))TJ = {!D69IJK K r)r )__name__ __module__ __qualname____firstlineno__r r__static_attributes__ __classcell__r s@r rrsrrcL^\rSrSrSrSU4SjjrSr\S5rSr Sr U=r $) _Classesz _classes.pyc$>[TU]S5 gr)rr )r r s r r _Classes.__init__s )rc4[U5n[XU5 U$N)rsetattr)r r namespaces r r_Classes.__getattr__s#D) I&rc6[RR$r')ropsloaded_libraries)r s r r-_Classes.loaded_librariessyy)))rcB[RRU5 g)a Loads a shared library from the given path into the current process. The library being loaded may run global initialization code to register custom classes with the PyTorch JIT runtime. This allows dynamically loading custom classes. For this, you should compile your class and the static registration code into a shared library object, and then call ``torch.classes.load_library('path/to/libcustom.so')`` to load the shared object. After the library is loaded, it is added to the ``torch.classes.loaded_libraries`` attribute, a set that may be inspected for the paths of all libraries loaded using this function. Args: path (str): A path to a shared library to load. N)rr, load_library)r paths r r0_Classes.load_library"s$  t$r)returnN) rrrr__file__r rpropertyr-r0rrr s@r r"r"s0H* **%%rr")typestorch._Cr ModuleTyperr"classesr3rr r;s9  e&& !%u!%J *r