[Th<SSKJrJr SSKr\"SS\55rg))Protocolruntime_checkableNcn\rSrSrSrS\S\S\\4SjrS\\4Sjr S\ S\ R4S jr S rg ) _Checkpointablea  Interface for checkpointable objects. Implemented as a protocol, implicit subtyping is supported so subclasses do not need to inherit this explicitly. This is to allow arbitrary objects/tensor subclasses to hook into DCP seamlessly through implementing the interface. fqnobjectreturnc[S5e)z9 Return a list of WriteItems based on object's contents. z6_Checkpointable._create_write_items is not implementedNotImplementedError)selfrr s Y/var/www/auris/envauris/lib/python3.13/site-packages/torch/distributed/_checkpointable.py__create_write_items__&_Checkpointable.__create_write_items__s" D  c[S5e)zE Return a list of `ChunkStorageMetadata` based on object's contents. z5_Checkpointable._create_chunk_list is not implementedr )rs r__create_chunk_list__%_Checkpointable.__create_chunk_list__s" C  rindexc[S5e)z9 Return a 'torch.Tensor' shard based on 'MetadataIndex'. z4_Checkpointable._get_tensor_shard is not implementedr )rrs r__get_tensor_shard__$_Checkpointable.__get_tensor_shard__s" B  rN)__name__ __module__ __qualname____firstlineno____doc__strr listrrinttorchTensorr__static_attributes__rrrrrsL  # v $v,  tF|  # %,, rr)typingrrr#rrrrr's&.  h  r