9j dZddlmZddlZddlmZmZddlZddlm Z ddl m Z ddl m Z dd lmZerdd lmZdd ZGd d ZdddZdddZddZ d ddZ d ddZy)zM Python implementation of function wrapping functionality for functorch.dim. ) annotationsN)Any TYPE_CHECKING)tree_map)DimEntry)EnableAllLayers) TensorInfo)Callablec|S)z8Handle tensor conversion for torch function integration.)tensors S/media/conek/DATA/Code/OCR/venv/lib/python3.12/site-packages/functorch/dim/_wrap.pyhandle_from_tensorrs Mc.eZdZdZ d ddZddZy)WrappedOperatorzP This class wraps PyTorch operations to support first-class dimensions. c2||_||_t|dd|_t|dd|_||_d|_d|_d|_d|_ d|_ |jr/|j r"|jd|j d |_yyy) N__name____doc__FrrTz Argument 'z5' can be either an integer or a torchdim.Dim object. ) origwrapper_implementationgetattrnamedocdim_name is_pointwise dim_offsetkeepdim_offset single_dimreduce)selfrrrs r__init__zWrappedOperator.__init__ s &<#D*b1 4D1  !  88 ((< >tuDH&8rc|dfd }tj|jddj|_|S)z@Create a wrapped function that calls our wrapper implementation.c0jg|i|S)N)r)argskwargsr#s r wrapped_funcz.WrappedOperator.function..wrapped_func6s .4..tEdEfE Er)rr )assignedupdated)r'rr(rreturnr) functoolsupdate_wrapperrrr)r#r)s` rfunctionzWrappedOperator.function3s: F   $))mR  $xx rN)dim)rr rr rstr)r,r )r __module__ __qualname__rr$r/r rrrrs4 QVvv6>vJMv& rrcddlm}t||r|r tdt |St|t r|}|dk\r ||z}|dk\r t |St S)z:Convert single dimension specification to DimEntry object.r)Dimz8cannot preserve first-class dimensions with keepdim=Truer)rr5 isinstance ValueErrorrint)r0ndimkeepdimr5is r _wrap_dimr<Bsb#s WX X} C  1f IA1f{zrct|||}g}|js|j||S|D]}|jt||| |S)z.wrap_results2 c5<< ( ))#z4??K K r)rMrr,r)r7getrrlenr createrr levels batchedtensorAssertionErrorinplace_update_layerslistr from_batchedrLr"r boolr9rC enumeratehasattrrGr1r?tuplecopyrr)wrapperr'r(dim_argdim_idxguardnew_argsrAr: keepdim_arg keepdim_idxr9dims dim_indicesseenrBmidxr;level level_strs py_indices new_kwargsrPrNrOs @@rpatched_dim_methodrn_s @AAjj))*G7--D 9$$q( SY 7mG  aeT7<<00 0 T[[ ) ?U!!)$%LMM  ' '(:(:DKK HDzH,T-?-?@HQK!W\\86v6F%%fdoo> ? ?   T!W %D w||T,V,,G~~jj+  7#9#9CI#E!0014KSY&";/  ";'G 99;D gtW -D K 7S% %D !!$++. HAuz  <%dkk2 55),q1AD  |6:kkBUc%jB B -j\9KA3OT 4 +!0J~~g!$++. )HAu7!!%( )[[^  ;1%a. ;' DzHJ {{=>>$T[[1HQK:%'1 7##$$$q( S] "H~H *HW W\\8 2z 2F K ((E ? ?`Cs-BO9P9Pc|xsd}t|t|}|||_|||_|||_|||_|j S)a Wrap a PyTorch function to support first-class dimensions. Args: orig: Original function to wrap dim_offset: Offset for dimension argument (default: 0) keepdim_offset: Offset for keepdim argument (default: 1) dim_name: Name of dimension parameter (default: "dim") single_dim: Whether function takes single dimension (default: False) reduce: Whether function reduces dimensions (default: True) r0)rrnrr r!r"r/)rrr rr!r"r_s r_wraprpsc& 5Hd$6AG'!!/'     rc>|i}ddlm}|j||||S)z@ Handle __torch_function__ calls for wrapped operators. r)_Tensor)rrr__torch_function__)r_functypesr'r(rrs rcall_torch_functionrvs,~  % %dE4 @@r)r torch.Tensorr,rw)F)r0rr9r8r:rZr,r)r0rr9r8r:rZr,zlist[DimEntry])r_rr'rr(rr,r)NNNNN)rr r int | Noner rxrz str | Noner! bool | Noner"ryr,r )r N) r_rrtr rur]r'r]r(z dict | Noner,r)r __future__rr-typingrrrJtorch.utils._pytreer _dim_entryr_enable_all_layersr _tensor_infor collections.abcr rrr<rCrnrprvr rrrs#% ( /$( $$N" w)x"!%"           N A A A A  A  A  Ar