PgZddlmZ dZdZdZdZdZdZdZd Z d Z d Z d Z d Z y)) OrderedDictc:|jr tdy)NzzNYI: Named tensors don't support serialization. Please drop names via `tensor = tensor.rename(None)` before serialization.) has_names RuntimeError)tensors c/var/www/html/suriana-translation/venv/lib/python3.12/site-packages/torch/_namedtensor_internals.pycheck_serializing_named_tensorr s&  M  c|tt|jDcgc] \}}||n||fc}}Scc}}w)zkReturns a map of { dim: dim_name } where dim is a name if the dim is named and the dim index otherwise.)r enumeratenames)ridxnames r build_dim_maprs: @I&,,@WX93#4 .X Xs8 ct|tr|j}t|ds't|tst dt |t|dk(r t dt|S)N__iter__zBExpected namedshape to be OrderedDict or iterable of tuples, got: rz!Expected namedshape to non-empty.) isinstanceritemshasattrtuplertypelenzip) namedshapes runzip_namedshapersq*k*%%' :z *:j%3PPQUV`QaPb c   :!>??  r c |ryy)Nrename_rename)inplaces rnamer_api_namer!(s r c"|tk(xs|dk(S)Nz...)Ellipsis)items r is_ellipsisr%/s 8  ,tu},r ct|Dcgc]\}}t|s|}}}t|dk\rt|d|dt|dk(r|dSycc}}w)Nz1: More than one Ellipsis ('...') found in names (z-). This function supports up to one Ellipsis.r)r r%rr)r fn_nameirellipsis_indicess rsingle_ellipsis_indexr,3s{)25)9Oga[=NOO !iHgB D   !"" Ps AAc$||t||z S)N)r)numel_pre_globnumel_post_globr s rexpand_single_ellipsisr0?s #e*"> ??r c\t|t||z dz |}|d||z||dzdzS)Nr()r0r) ellipsis_idxr tensor_names globbed_namess rreplace_ellipsis_by_positionr5CsG*c%j</!3\M , - /% q8H8J2K KKr c<t||}||St|||S)zX Expands ... inside `names` to be equal to a list of names from `tensor_names`. )r,r5)r r3r)r2s rresolve_ellipsisr7Js*)8L ' e\ JJr c t|dk(r|d|jd|S|jt||jt ||S)Nr(r)r _update_namesr7r r!)rr r s rupdate_names_with_listr:TsS 5zQ58+##D'22    nW.EF r c &t|}|jD]K}||}||jvr|||< tt|d|d|d|jd|d |j t |j|S)Nz: Tried to rename dim 'z ' to dim z in Tensor[z ] but dim 'z' does not exist)rkeysrr!r r9rvalues)r rename_mapr dim_mapold_dimnew_dims rupdate_names_with_mappingrB^sF#G??$W% glln $&GG !'*++B7)9);v||nKyHXZ     gnn&6 7 AAr c t|dkD}t|}|r1|r/tt|dt|dt|d|s|s t |||S|r t |||St |||S)aThere are two usages: tensor.rename(*names) returns a view on tensor with named dims `names`. `names` must be of length `tensor.dim()`; otherwise, if '...' is in `names`, then it is expanded greedily to be equal to the corresponding names from `tensor.names`. For example, ``` >>> # xdoctest: +SKIP >>> x = torch.empty(2, 3, 5, 7, names=('N', 'C', 'H', 'W')) >>> x.rename('...', 'height', 'width').names ('N', 'C', 'height', 'width') >>> # xdoctest: +SKIP >>> x.rename('batch', '...', 'width').names ('batch', 'C', 'H', 'width') ``` tensor.rename(**rename_map) returns a view on tensor that has rename dims as specified in the mapping `rename_map`. For example, ``` >>> # xdoctest: +SKIP >>> x = torch.empty(2, 3, 5, 7, names=('N', 'C', 'H', 'W')) >>> x.rename(W='width', H='height').names ('N', 'C', 'height', 'width') ``` Finally, tensor.rename has an in-place version called tensor.rename_. rzW: This function takes either positional args or keyword args, but not both. Use tensor.z!(*names) to name dims and tensor.z(**rename_map) to rename dims.)rboolrr!r:rB)rr r>r rhas_rename_pairss r update_namesrFlsFE QIJ'%g&'(>>LW>U=VW''5g'>&?@    -%feW==%feW== $VZ AAr N) collectionsrr rrr!r%r,r0r5r7r:rBrFrr rrHsN#  - @LK B3Br