§ %`ƒiS$ãó,—ddlmZddlZddlZddlmZddlmZddlm Z m Z mZddlZ ddlZddlmZddlmZddlmZmZmZdd lmZmZmZdd lmZmZdd„Z d?d„Z!d„Z"d@d„Z#dAd!„Z$dBd%„Z%dCd)„Z&dDd-„Z'dEd/„Z(dFd1„Z)dGd3„Z*dHd8„Z+dId:„Z,dId;„Z-dS)Jé)ÚannotationsN)ÚSequence)Úsuppress)ÚAnyÚCallableÚLiteral)Ú tv_tensors)Úsequence_to_str)Ú_check_sequence_inputÚ_setup_angleÚ_setup_size)Úget_dimensionsÚget_sizeÚis_pure_tensor)Ú _FillTypeÚ_FillTypeJITÚargú#int | float | Sequence[int | float]ÚnameÚstrÚreturnúSequence[float]có:—t|tttf¦«s!t |›dt|¦«›¦«‚t|t¦«r3t |¦«dvr"td|›dt |¦«›¦«‚t|t¦«rB|D]?}t|ttf¦«s!t|›dt|¦«›¦«‚Œ@t|ttf¦«rt|¦«t|¦«g}n}t|t¦«rht |¦«dkr+t|d¦«t|d¦«g}n*t|d¦«t|d¦«g}|S)Nz2 should be a number or a sequence of numbers. Got )éézIf z0 is a sequence its length should be 1 or 2. Got z& should be a sequence of numbers. 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The input is tuple or list whose second item is a labels tensor. This happens for already batched classification inputs for MixUp and CutMix (typically after the Dataloder). 2. The input is a tuple or list whose second item is a dictionary that contains the labels tensor under a label-like (see below) key. This happens for the inputs of detection models. 3. The input is a dictionary that is structured as the one from 2. What is "label-like" key? We first search for an case-insensitive match of 'labels' inside the keys of the dictionary. This is the name our detection models expect. If we can't find that, we look for a case-insensitive match of the term 'label' anywhere inside the key, i.e. 'FooLaBeLBar'. 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