`iddlmZddlmZddlmZmZmZmZm Z  e e efZ dede ee ffdZdede defd Zd S) )STATE_DICT_TYPE)_version)OBJ_PATH set_elementSTATE_DICT_ITEMtraverse_state_dicttraverse_state_dict_v_2_3 state_dictreturnciidtdtddffd }tjduotjdk}|rt ||nt ||fS)a Flatten ``state_dict`` made of nested dicts and lists into a top level dictionary. Use ``unflatten_state_dict`` to revert this process. Returns: A tuple with the flatten state_dict and a mapping from original to new state_dict. N.B. The new keys are derived from the object paths, joined by dot. For example: ``{ 'a': {'b':...}}`` results in the key `a.b`. pathvaluer Ncdtt|}|vrtd|||<||<dS)N.zduplicated flatten key )joinmapstr ValueError)rrnew_fqn flattenedmappingss }/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/torch/distributed/checkpoint/_nested_dict.py flat_copyz%flatten_state_dict..flat_copy*sX((3sD>>** i  @w@@AA A" ' 2_3)rrr_derived_versionr r )r r use_v_2_3rrs @@rflatten_state_dictrs"$I "H!!!T!!!!!!! !-T(2Ku2T3!*i8888J 222 h rmappingcli}|D]\}}t|||||S)zaRestore the original nested state_dict according to ``mapping`` and the flattened ``state_dict``.)itemsr)r r nestedkeyrs runflatten_state_dictr%>sF!F &&((11 UFGCL%0000 MrN)%torch.distributed.checkpoint.metadatarr _traverserrrr r dictrFLATTEN_MAPPINGtuplerr%rrr-sBAAAAAsH}%   ?O +,    F*9r