
    ʩh                          d Z ddlmZ ddlmZmZmZ ddlmZ ddl	m
Z
 ddlmZ ddlmZ 	 dd	lmZ d
Z G d de      Zy# e$ r& 	 dd	lmZ d
Zn# e$ r  G d d      ZeZdZY nw xY wY 6w xY w)zFContains a logger to push training logs to the Hub, using Tensorboard.    )Path)ListOptionalUnion   )CommitScheduler)EntryNotFoundError)	ModelCard)experimental)SummaryWriterTc                       e Zd Zy)_DummySummaryWriterN)__name__
__module____qualname__     a/var/www/html/eduruby.in/venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.pyr   r   '   s    r   r   Fc                        e Zd ZdZed fd       Zddddddddddd
d	ed
ee   dee	e
f   dedee   dee   dee   dee   deeee   ef      deeee   ef      dee   f fdZ fdZ xZS )HFSummaryWritera  
    Wrapper around the tensorboard's `SummaryWriter` to push training logs to the Hub.

    Data is logged locally and then pushed to the Hub asynchronously. Pushing data to the Hub is done in a separate
    thread to avoid blocking the training script. In particular, if the upload fails for any reason (e.g. a connection
    issue), the main script will not be interrupted. Data is automatically pushed to the Hub every `commit_every`
    minutes (default to every 5 minutes).

    <Tip warning={true}>

    `HFSummaryWriter` is experimental. Its API is subject to change in the future without prior notice.

    </Tip>

    Args:
        repo_id (`str`):
            The id of the repo to which the logs will be pushed.
        logdir (`str`, *optional*):
            The directory where the logs will be written. If not specified, a local directory will be created by the
            underlying `SummaryWriter` object.
        commit_every (`int` or `float`, *optional*):
            The frequency (in minutes) at which the logs will be pushed to the Hub. Defaults to 5 minutes.
        squash_history (`bool`, *optional*):
            Whether to squash the history of the repo after each commit. Defaults to `False`. Squashing commits is
            useful to avoid degraded performances on the repo when it grows too large.
        repo_type (`str`, *optional*):
            The type of the repo to which the logs will be pushed. Defaults to "model".
        repo_revision (`str`, *optional*):
            The revision of the repo to which the logs will be pushed. Defaults to "main".
        repo_private (`bool`, *optional*):
            Whether to make the repo private. If `None` (default), the repo will be public unless the organization's default is private. This value is ignored if the repo already exists.
        path_in_repo (`str`, *optional*):
            The path to the folder in the repo where the logs will be pushed. Defaults to "tensorboard/".
        repo_allow_patterns (`List[str]` or `str`, *optional*):
            A list of patterns to include in the upload. Defaults to `"*.tfevents.*"`. Check out the
            [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details.
        repo_ignore_patterns (`List[str]` or `str`, *optional*):
            A list of patterns to exclude in the upload. Check out the
            [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details.
        token (`str`, *optional*):
            Authentication token. Will default to the stored token. See https://huggingface.co/settings/token for more
            details
        kwargs:
            Additional keyword arguments passed to `SummaryWriter`.

    Examples:
    ```diff
    # Taken from https://pytorch.org/docs/stable/tensorboard.html
    - from torch.utils.tensorboard import SummaryWriter
    + from huggingface_hub import HFSummaryWriter

    import numpy as np

    - writer = SummaryWriter()
    + writer = HFSummaryWriter(repo_id="username/my-trained-model")

    for n_iter in range(100):
        writer.add_scalar('Loss/train', np.random.random(), n_iter)
        writer.add_scalar('Loss/test', np.random.random(), n_iter)
        writer.add_scalar('Accuracy/train', np.random.random(), n_iter)
        writer.add_scalar('Accuracy/test', np.random.random(), n_iter)
    ```

    ```py
    >>> from huggingface_hub import HFSummaryWriter

    # Logs are automatically pushed every 15 minutes (5 by default) + when exiting the context manager
    >>> with HFSummaryWriter(repo_id="test_hf_logger", commit_every=15) as logger:
    ...     logger.add_scalar("a", 1)
    ...     logger.add_scalar("b", 2)
    ```
    c                 D    t         st        d      t        |   |       S )NzvYou must have `tensorboard` installed to use `HFSummaryWriter`. Please run `pip install --upgrade tensorboardX` first.)is_summary_writer_availableImportErrorsuper__new__)clsargskwargs	__class__s      r   r   zHFSummaryWriter.__new__x   s)    *(  ws##r   N   Ftensorboardz*.tfevents.*)
logdircommit_everysquash_history	repo_typerepo_revisionrepo_privatepath_in_reporepo_allow_patternsrepo_ignore_patternstokenrepo_idr"   r#   r$   r%   r&   r'   r(   r)   r*   r+   c       
            t        |   dd|i| t        | j                  t              s/t        d| j                   dt        | j                         d      ||dk(  r t        | j                        j                  }n4|j                  d      dz   t        | j                        j                  z   }t        | j                  |||||||	|
||      | _        | j                  j                  | _        | j                  j                  | _        | j                  j                  | _        	 t!        j"                  | j                  | j                        }|j&                  j)                  d	g       }d
|vrH|j+                  d
       ||j&                  d	<   |j-                  | j                  | j                         y y # t$        $ r t!        d      }Y w xY w)Nr"   z%`self.logdir` must be a string. Got 'z
' of type . /)folder_pathr(   r,   r%   revisionprivater+   allow_patternsignore_patternseveryr$   )repo_id_or_pathr%   tagszhf-summary-writer)r,   r%   r   )r   __init__
isinstancer"   str
ValueErrortyper   namestripr   	schedulerr,   r%   r2   r&   r
   loadr	   datagetappendpush_to_hub)selfr,   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r   cardr8   r   s                  r   r9   zHFSummaryWriter.__init__   s   " 	11&1 $++s+DT[[MQ[\`aealal\m[nnopqq <2#5,11L'--c2S84;L;Q;QQL )%" .0)
 ~~--11!^^44	!>>$,,$..YD yy}}VR(d*KK+, $DIIfT\\T^^L + " 	!R=D	!s   .+G GGc                 |    t         |   |||       | j                  j                         }|j	                          y)zLPush to hub in a non-blocking way when exiting the logger's context manager.N)r   __exit__r@   triggerresult)rF   exc_typeexc_valexc_tbfuturer   s        r   rI   zHFSummaryWriter.__exit__   s/    7F3'')r   )returnr   )r   r   r   __doc__r   r   r;   r   r   intfloatboolr   r9   rI   __classcell__)r   s   @r   r   r   .   s   GR $ $ !%*+$#''+'+&3?M@D#:M:M 	:M
 CJ':M :M C=:M  }:M tn:M sm:M &eDIsN&;<:M 'uT#Y^'<=:M }:Mx r   r   N)rQ   pathlibr   typingr   r   r   _commit_schedulerr   errorsr	   repocardr
   utilsr   tensorboardXr   _RuntimeSummaryWriterr   r   torch.utils.tensorboardr   r   r   r   r   <module>r_      s    M  ( ( . &  ,C"&S+ S  ,
,R&*# ,	 	 !4&+#,,s5   A   A+AA+A%"A+$A%%A+*A+