9jcjddlmZddlmZmZerddlmZddlZddlm Z m Z m Z d d dZ d dZ y) ) annotations)Any TYPE_CHECKING)SequenceN) _match_levelsDimEntryndim_of_levelscddlm}| |r tSt||r t|St|tr"|dkr |}t|S||z }t|StS)a& Convert various dimension representations to DimEntry. Args: arg: The argument to convert (Dim, int, or other) orig_ndim: Original number of dimensions allow_none: Whether to allow None values Returns: DimEntry representation of the dimension r)Dimr)r r isinstanceint)arg orig_ndim allow_noner poss T/media/conek/DATA/Code/OCR/venv/lib/python3.12/site-packages/functorch/dim/_order.py _wrap_dimrsi {zz C } C  7C} /C}zc ddlm}m}m}t ||r(|j dd}|j }|j}n6t ||rt|g}|j}d}n tdgg}|ddt d  fd } d} |D]} t| d} | js| | | dz } .t | |r(| jD]} | t| | dz } b| dz } t| ds td t!| }|j#t%t%|f|D]2}t| d} | jr td | | 4d }g}D]U}|jr|j'r!|d k(rt%|}|j)|j#|W|d k(rt%|}|j)| t+d t-|||}|rDg}|j/}t1|D]}|j#||d}|D]b\}}||kr"|j#|||z|dz }||kr"d}t1|D]}||||z|zz}|j#|||z }d|t%kr+|j#|||z|dz }|t%kr+t1|t%zt%D]}|j#||t%| z }|dkDr|d||||zdz}|j3|}d}t1t%|dz d d D]7}||j's||k\s||| zks%|dz}t|||<9|j5|||}|S)a Reorder the dimensions of a tensor or create a tensor from a dimension. It allows reordering tensor dimensions using first-class dimensions and positional indices. Args: tensor_or_dim: Input tensor with first-class dimensions, or a Dim object *dims: Dimensions or sequences of dimensions specifying the new order Returns: Tensor with reordered dimensions Examples: >>> import torch >>> from functorch.dim import dims >>> batch, channel, height, width = dims(4) >>> x = torch.randn(2, 3, 4, 5)[batch, channel, height, width] >>> # Reorder to [height, width, batch, channel] >>> y = order(x, height, width, batch, channel) r)r DimListTensorNFz-First argument must be a Tensor or Dim objectc, j|}|P|jr#tdd|jzdtd|j dt |<j |y#t$rd}Y~wxYw)zEAdd a dimension to the reordering, removing it from available levels.Nz tensor has z positional dimensions, but z% specified, or it was specified twiceztensor does not contain dim z or it was specified twice)index ValueError is_positionalpositiondimr append)didxflat_positional_dimslevelsrs r append_dimzorder..append_dimXs ,,q/C ;  !),HXaIaHbc01 !21557);UVjs ##A& C sB BBr__iter__z+expected a Dim, List[Dim], or Sequence[Dim]zexpected a Dim or intzCannot reorder None tensor)r!r returnNone)r r rrr_levels_tensor _has_devicer _get_rangerr ris_none_dimshasattrlistr lenrextendAssertionErrorrsizerangereshapefrom_positional)! tensor_or_dimdimsr rr orig_levelsdata has_device to_flattenr%n_new_positionalrentryrseqitem insert_point new_levelslevelndata view_shapesizesi start_idxlengthnew_sizej n_to_removeseenresultr#r$rs! @@@rorderrQ*sP0'&-(#++A. $$".. M3 ' ./ '') HIIJ ^Fv&I'("#y%0}} u   !  W %yy &8C=) A%  &  ! 3 + !NOOs)C   s#78#c(C D "!$ 59==?$%<==5!  ")"6L!#J! ==?     r!": !!"67% !r: ./ |9:: $ Z 8E  |$ (A   eAh ' ( !+  Ivi-!!% q(8"9:Qi- H6] 8E,"2Q"677 8   h ' KA #*++   eL1$45 6 FA#*++ |c*>&??VM (A   eAh ' (./2BB ?=L)J|k7Q7S,TT  j) D 3z?Q&B /+ a= & & (  !l5E&E"E AID$TNJqM + # #E:z BF Mr)T)rrrrrboolr(r )r9ztorch.Tensor | Anyr:zAny | Sequence[Any]r(z torch.Tensor) __future__rtypingrrcollections.abcrtorch _dim_entryrr r rrQrrrYsB"%( ??8m%m.Ammr