קggddlZddlmZddlmZmZmZmZmZddl Z ddl Z ddl Z ddl Z ddl Z ddlZ ddlZ ddlZ ddlmZejddZejddZGdde jjZdS) N) nullcontext)AnyCallableDictOptionalSequence)torch_function_passthroughc  ttjftjtjjftjjtjjjftjtjjftjtjjftjtjjfg}itjjtjj tjj tjj tjj tjj tjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjjtjj tjj tjj!tjj!tjj"tjj"tjj#tjj#tjj$tjj$tjj%tjj%tjj&tj'j(tjj)tj'j)i}|D]D\}}|j*D]7}|j+,|||j+,|<8Et[tjD]T}|tjj*vr?tjj+,||t]tj|<Utjj/j*D]^}t]tj|dpt]t|}tjj/j+,|||<_|S)z} Mapping of torch API functions to torch._refs functions. E.g. torch_to_refs_map()[torch.add] == torch._refs.add N)0torch_refsnn functionalspecialfftlinalgTensor __invert__ bitwise_not__xor__ bitwise_xor__and__ bitwise_and__or__ bitwise_or__eq__eq__rsub__rsub __rtruediv__rtruediv __floordiv__ floor_divide __rfloordiv__ rfloordiv__pow__pow__rpow__rpow new_emptynew_full new_zerosnew_onesfill_zero_to sum_to_sizecopy__primscopy_toresize__all____dict__getdirgetattr _conversions)modulesr mod_torchmod_refss tensor_attrs P/var/www/html/ai-engine/env/lib/python3.11/site-packages/torch/_prims/context.pytorch_to_refs_maprBs;   5;>"  ekn78  +, EKO$ u{)* G !8 ek5  ek5  U[3   U[^   u{/   !5;#7  !5;#;  "EK$9  eko  u{/   5  u{3   5  u{3  EK-!"  EK-#$    %+"9 EL0 U\0-A0 'DD 8! D DA+3+<+@+@+C+CAi $$Q'' ( ( D  FF  # # #*/+*>*B*B1*E*EAgelA&& '[ % -BBelAt44Iq8I8I 1:>>qAA+ Hc8dtjjDS)zJ Set of all prim functions, e.g., torch._prims.add in all_prims() cVh|]&}tjj|'S)r r2r6r7).0r?s rA zall_prims..Ms+ G G GQEL ! % %a ( ( G G GrC)r r2r5rFrCrA all_primsrIHs H G%,2F G G GGrCc XeZdZdZddefdZ d deded eed e e fd Z dS) TorchRefsModeaB Switches the interpretation of torch.* functions and Tensor methods to use PrimTorch refs in torch._refs. (Direct calls to _refs are unaffected.) >>> # xdoctest: +SKIP >>> with TorchRefsMode(): ... torch.add(x, y) # calls torch._refs.add(x, y) By default, this context manager will fall back on the torch.* if the ref does not exist; set strict=True to error if this occurs. If the ref exists we still would like to fall back on the torch.* sometimes, this behavior can be customized by passing a function to should_fallback_fn. FcdS)NFrF)_s rAzTorchRefsMode.bserCc0||_||_||_dS)N)strictshould_fallback_fnprims_mode_cls)selfrPrQrRs rA__init__zTorchRefsMode.__init___s!  "4,rCrFN orig_functypesargskwargsc2|i}|tvs|tvr4|5||i|cdddS#1swxYwYt}||d}|Et |t jjr&t j j |d}nY|Wt |t jj r8t|dd}|%t j j |d}|C| |||||r||i|S|5||i|cdddS#1swxYwY|jr/tdt j|||i|S)Ndefaultzno _refs support for )r rIrRrBr7 isinstancer _ops OpOverload_decompdecomposition_tableOpOverloadPacketr9rQrP RuntimeError overrides resolve_name)rSrUrVrWrXmappingfuncrZs rA__torch_function__z TorchRefsMode.__torch_function__is> >F 2 2 2i9;;6N6N$$&& 2 2 y$1&11 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2#%%{{9d++ rxsU""""""::::::::::::::  ::::::T3 3 3 lTHHHB*B*B*B*B*EO5B*B*B*B*B*rC