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    پi!                     @   s  d Z ddlZddlmZ ddlmZmZmZmZm	Z	m
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 z
ddlmZ dZW n ey1   dZY nw z
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dd
lmZ dZW n eys   dZY nw ddlmZmZ eeeeee	dZedddZeddddddZdd Z													d%dedee dedededededededee ded ed!ed"efd#d$ZdS )&zE Dataset Factory

Hacked together by / Copyright 2021, Ross Wightman
    N)Optional)CIFAR100CIFAR10MNISTKMNISTFashionMNISTImageFolder)	Places365TF)INaturalist)QMNIST)ImageNet   )IterableImageDatasetImageDataset)cifar10cifar100mnistkmnistfashion_mnist)traintraining)valvalid
validationeval
evaluationc                    s`   | dd }tj |}tj|r|S  fdd}|tv r&|t  S |tv r.|t  S )N[r   c                    s0   | D ]}t j |}t j|r|  S q S N)ospathjoinexists)synstry_rootroot M/home/ubuntu/.local/lib/python3.10/site-packages/timm/data/dataset_factory.py_try2   s   z_search_split.<locals>._try)splitr   r   r    r!   _TRAIN_SYNONYM_EVAL_SYNONYM)r&   r*   
split_namer$   r)   r'   r%   r(   _search_split+   s   r.   r   *   RGBnamer&   r*   search_split	class_map
load_bytesis_trainingdownload
batch_sizenum_samplesseedrepeatsinput_img_modetrust_remote_codec                 K   s  dd |  D }|  } | dr| ddd } td+||d|}| tv r<t|  }|tv }|d+d|i|}|S | d	ksD| d
krtsJJ dd}|d}t|dkrl|d d}t|dkrh|d }|d }|tv rsd}n|t	v ryd}t
d+||d|}|S | dkrtsJ d|tv rd}n|t	v rd}td+d|i|}|S | dkrtsJ d|tv }td+d|i|}|S | dkr|d tsJ d|t	v rd}td+d|i|}|S | dks| dkr|rtj|rt||}t|fi |}|S J d |  | d!rt|f| ||||d"|}|S | d#r8t|f| ||||||	||
||d$|}|S | d%rSt|f| ||||||	||
|d&
|}|S | d'rmt|f| |||||	||
|d(	|}|S |r|tj|r|t||}t|f| |||d)|}|S ),a   Dataset factory method

    In parentheses after each arg are the type of dataset supported for each arg, one of:
      * Folder - default, timm folder (or tar) based ImageDataset
      * Torch - torchvision based datasets
      * HFDS - Hugging Face Datasets
      * HFIDS - Hugging Face Datasets Iterable (streaming mode, with IterableDataset)
      * TFDS - Tensorflow-datasets wrapper in IterabeDataset interface via IterableImageDataset
      * WDS - Webdataset
      * All - any of the above

    Args:
        name: Dataset name, empty is okay for folder based datasets
        root: Root folder of dataset (All)
        split: Dataset split (All)
        search_split: Search for split specific child fold from root so one can specify
            `imagenet/` instead of `/imagenet/val`, etc on cmd line / config. (Folder, Torch)
        class_map: Specify class -> index mapping via text file or dict (Folder)
        load_bytes: Load data, return images as undecoded bytes (Folder)
        download: Download dataset if not present and supported (HFIDS, TFDS, Torch)
        is_training: Create dataset in train mode, this is different from the split.
            For Iterable / TDFS it enables shuffle, ignored for other datasets. (TFDS, WDS, HFIDS)
        batch_size: Batch size hint for iterable datasets (TFDS, WDS, HFIDS)
        seed: Seed for iterable datasets (TFDS, WDS, HFIDS)
        repeats: Dataset repeats per iteration i.e. epoch (TFDS, WDS, HFIDS)
        input_img_mode: Input image color conversion mode e.g. 'RGB', 'L' (folder, TFDS, WDS, HFDS, HFIDS)
        trust_remote_code: Trust remote code in Hugging Face Datasets if True (HFDS, HFIDS)
        **kwargs: Other args to pass through to underlying Dataset and/or Reader classes

    Returns:
        Dataset object
    c                 S   s   i | ]\}}|d ur||qS r   r'   ).0kvr'   r'   r(   
<dictcomp>p   s    z"create_dataset.<locals>.<dictcomp>ztorch//   )r&   r6   r   inaturalistinatz@Please update to PyTorch 1.10, torchvision 0.11+ for Inaturalistfullr   r   _
2021_train
2021_valid)versiontarget_type	places365zGPlease update to a newer PyTorch and torchvision for Places365 dataset.ztrain-standardr   r*   qmnistzDPlease update to a newer PyTorch and torchvision for QMNIST dataset.imagenetr6   zFPlease update to a newer PyTorch and torchvision for ImageNet dataset.image_folderfolderFzUnknown torchvision dataset zhfds/)readerr*   r3   r;   r<   zhfids/)rQ   r*   r3   r5   r6   r7   r8   r:   r9   r;   r<   ztfds/)
rQ   r*   r3   r5   r6   r7   r8   r:   r9   r;   zwds/)	rQ   r*   r3   r5   r7   r8   r:   r9   r;   )rQ   r3   r4   r;   Nr'   )itemslower
startswithr*   dict_TORCH_BASIC_DSr+   has_inaturalistlenr,   r
   has_places365r	   
has_qmnistr   pophas_imagenetr   r   r   isdirr.   r   r   r   )r1   r&   r*   r2   r3   r4   r5   r6   r7   r8   r9   r:   r;   r<   kwargstorch_kwargsds_class	use_traindsrK   split_splitr'   r'   r(   create_dataset?   s  1n
`YU
O
IC9)
rd   )Nr   TNFFFr   Nr/   r   r0   F) __doc__r   typingr   torchvision.datasetsr   r   r   r   r   r   r	   rY   ImportErrorr
   rW   r   rZ   r   r\   datasetr   r   rU   rV   r+   r,   r.   strboolintrd   r'   r'   r'   r(   <module>   s     	
