o پi)#@sdZddlZddlZddlmZmZmZmZddlZdddddd eej d e d e d e d e deeej ee ee e fff ddZ dddej de de dej fddZ dddej dee e fdee de de dej f ddZGdddZdS)uVariable‑size Mixup / CutMix utilities for NaFlex data loaders. This module provides: * `mix_batch_variable_size` – pixel‑level Mixup/CutMix that operates on a list of images whose spatial sizes differ, mixing only their central overlap so no resizing is required. * `pairwise_mixup_target` – builds soft‑label targets that exactly match the per‑sample pixel provenance produced by the mixer. * `NaFlexMixup` – a callable functor that wraps the two helpers and stores all augmentation hyper‑parameters in one place, making it easy to plug into different dataset wrappers. Hacked together by / Copyright 2025, Ross Wightman, Hugging Face N)DictListTupleUnion皙??? mixup_alpha cutmix_alpha switch_prob local_shuffleimgsr r r rreturnc/stdkr td|dkr"|dkr"td|k}|r|n|}n|dkr+d}|}n |dkr4d}|}ntdtj||}tdt d|}t t tfd d d }|d krst d t||D] } t || | |qei} t|ddd|d ddD] \} } | | | <| | | <qtdr|dnd} dgt}dgt}t tD]}|| kr|||<q| |}||}}|j\}}}|j\}}}||}t ||t ||}}||}||d||d}}||d||d}} |}|rwtd|}!t||!t||!}"}#|"|#}$t d ||"}%t d ||#}&||%||&}'}(||%| |&})}*|dd|)|)|"|*|*|#f|dd|'|'|"|(|(|#f<|||<d|$t|}+|+||<q|dd||||||f},|dd|||| | |f}-|,|j|-d|d}.|.|dd||||||f<|||<||||||}+|+||<q||| fS)aOApply Mixup or CutMix on a batch of variable-sized images. Sorts images by aspect ratio and pairs neighboring samples. Only the mutual central overlap region of each pair is mixed. Args: imgs: List of transformed images shaped (C, H, W). mixup_alpha: Beta distribution alpha for Mixup. Set to 0 to disable. cutmix_alpha: Beta distribution alpha for CutMix. Set to 0 to disable. switch_prob: Probability of using CutMix when both modes are enabled. local_shuffle: Size of local windows for shuffling after aspect sorting. Returns: Tuple of (mixed_imgs, lam_list, pair_to) where: - mixed_imgs: List of mixed images - lam_list: Per-sample lambda values representing mixing degree - pair_to: Mapping i -> j of which sample was mixed with which z1Need at least two images to perform Mixup/CutMix.FTu=Both mixup_alpha and cutmix_alpha are zero – nothing to do.rcs|jd|jdS)Nr)shape)irrJ/home/ubuntu/.local/lib/python3.10/site-packages/timm/data/naflex_mixup.pyEsz)mix_batch_variable_size..)keyrrNalpha)len ValueErrortorchranditem distributionsBetasamplemaxminsortedrangerandomshuffleziprclonemathsqrtintrandintfloatmuladd_)/rr r r r use_cutmixrlam_raworderstartpair_toabodd_one mixed_imgslam_listrjxixj_hiwihjwj dest_areaohow overlap_areatop_ileft_itop_jleft_j cut_ratiochcwcut_areay_offx_offyl_ixl_iyl_jxl_j corrected_lampatch_ipatch_jblendedrrrmix_batch_variable_sizesv &    @ """  r]r) smoothingtargets num_classesr^cCsL||}d||}tj|d|f|tj|jd}|d|d||S)Nrr)dtypedevicer)r fullsizefloat32rbscatter_ unsqueeze)r_r`r^off_valon_valy_onehotrrrsmoothed_sparse_targets  rkr9r>c CsTt|||d}|}|D]\}}||}|||j||d|dq|S)uCreate soft targets that match the pixel‑level mixing performed. Args: targets: (B,) tensor of integer class indices. pair_to: Mapping of sample index to its mixed partner as returned by mix_batch_variable_size(). lam_list: Per‑sample fractions of own pixels, also from the mixer. num_classes: Total number of classes in the dataset. smoothing: Label‑smoothing value in the range [0, 1). Returns: Tensor of shape (B, num_classes) whose rows sum to 1. r`r^rr)rkr-itemsmul_r4) r_r9r>r`r^rjrr?lamrrrpairwise_mixup_targets "rpc@s|eZdZdZdddddddded ed ed ed ed ededdfddZdeej dej de eej eej ffddZ dS) NaFlexMixupzr9rrr__call__s(   zNaFlexMixup.__call__) __name__ __module__ __qualname____doc__r0r2rurr rwrrzrrrrrqs@  rq)r~r.r*typingrrrrr rwr2r0r]rkrprqrrrrs^ q