o Zh@srddlmZ ddZddZddZdd Zd d Zd d ZddZddZ ddZ ddZ ddZ ddZ dS)) OrderedDictcCs|rtddS)NzzNYI: Named tensors don't support serialization. Please drop names via `tensor = tensor.rename(None)` before serialization.) has_names RuntimeErrortensorrK/var/www/auris/lib/python3.10/site-packages/torch/_namedtensor_internals.pycheck_serializing_named_tensor s r cCstddt|jDS)zkReturns a map of { dim: dim_name } where dim is a name if the dim is named and the dim index otherwise.cSs$g|]\}}|dur |n||fqSNr).0idxnamerrr s$z!build_dim_map..)r enumeratenamesrrrr build_dim_mapsrcCsTt|tr |}t|dst|tstdt|t|dkr&tdt|S)N__iter__zBExpected namedshape to be OrderedDict or iterable of tuples, got: rz!Expected namedshape to non-empty.) isinstanceritemshasattrtuplertypelenzip)Z namedshaperrrunzip_namedshapes   rcCs |rdSdS)NZrename_renamer)inplacerrrnamer_api_name(srcCs|tkp|dkS)Nz...)Ellipsis)itemrrr is_ellipsis/sr cCsJddt|D}t|dkrt|d|dt|dkr#|dSdS)NcSsg|] \}}t|r|qSr)r )r ir rrrr4sz)single_ellipsis_index..z1: More than one Ellipsis ('...') found in names (z-). This function supports up to one Ellipsis.r)rrr)rfn_nameZellipsis_indicesrrrsingle_ellipsis_index3s  r%cCs||t||Sr )r)Znumel_pre_globZnumel_post_globrrrrexpand_single_ellipsis?sr&cCs8t|t||d|}|d||||ddS)Nr#)r&r) ellipsis_idxr tensor_namesZ globbed_namesrrrreplace_ellipsis_by_positionCs r)cCs"t||}|dur |St|||S)zX Expands ... inside `names` to be equal to a list of names from `tensor_names`. N)r%r))rr(r$r'rrrresolve_ellipsisJs  r*cCs>t|dkr|ddur|d|S|t||jt||S)Nr#r)r _update_namesr*rr)rrrrrrupdate_names_with_listTs  r,c Csrt|}|D]&}||}||vr|||<qtt|d|d|d|jd|d |t||S)Nz: Tried to rename dim 'z ' to dim z in Tensor[z ] but dim 'z' does not exist)rkeysrrrr+rvalues)r rename_maprZdim_mapZold_dimZnew_dimrrrupdate_names_with_mapping^s   r0cCsrt|dk}t|}|r!|r!tt|dt|dt|d|s+|s+t|||S|r3t|||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.)rboolrrr,r0)rrr/rrZhas_rename_pairsrrr update_namesls #    r2N) collectionsrr rrrr r%r&r)r*r,r0r2rrrrs