9i9SSKJr SrSrg))Mappingc~SSKn[U[[45(a[ U5"SU55$[U[ 5(a/UR 5VVs0sHup#U[U5_M snn$[XR5(a UR5nUR5$U$s snnf)zNumpify nested torch tensors. NOTE: If the type of input tensors is dict-like(Mapping, dict, OrderedDict, etc.), the return type will be dict. Args: tensors: Nested torch tensors. Returns: The numpify tensors. rNc38# UHn[U5v M g7fN)torch_nested_numpify.0ts ]/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/modelscope/utils/tensor_utils.py 'torch_nested_numpify..sFg1!44g) torch isinstancelisttupletyperitemsrTensorcpunumpytensorsrkr s r rrsF'D%=))G}FgFFF'7##7>}}Gtq'**GG'<<(( KKMwwy N Hs!B9c^SSKn[U[[45(a[ U5"SU55$[U[ 5(a/UR 5VVs0sHup#U[U5_M snn$[XR5(aUR5$U$s snnf)zDetach nested torch tensors. NOTE: If the type of input tensors is dict-like(Mapping, dict, OrderedDict, etc.), the return type will be dict. Args: tensors: Nested torch tensors. Returns: The detached tensors. rNc38# UHn[U5v M g7fr)torch_nested_detachrs r r &torch_nested_detach...sEW033Wr) rrrrrrrrrdetachrs r rrsE'D%=))G}EWEEE'7##6=mmoFoda&q))oFF'<<((~~ NGs!B)N)collections.abcrrrr r#s$2r"