U
    ,-eW                     @   s  d dl Z d dlZd dlmZmZmZmZ d dlZd dlm	Z	m
Z
 d dlmZmZmZ ddddd	gZeee d
dd	Zeee ee dddZeedddZe
jfeeeedddZeedddZdeee edddZeeedddZeedddZeejedddZdS )    N)AnyListOptionalSet)_ShardingIterDataPipeSHARDING_PRIORITIES)DataPipeDataPipeGraphtraverse_dpsapply_random_seedapply_shardingapply_shuffle_seedapply_shuffle_settingsget_all_graph_pipes)graphreturnc                 C   s   t | t S N)_get_all_graph_pipes_helperset)r    r   `/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/torch/utils/data/graph_settings.pyr      s    )r   id_cacher   c                 C   sL   g }|   D ]:\}\}}||kr"q|| || |t|| q|S r   )itemsaddappendextendr   )r   r   resultsZdp_iddatapipe	sub_graphr   r   r   r      s    

r   )r   r   c                 C   s,   t | trdS t| dr(t| jr(dS dS )NTr   F)
isinstancer   hasattrinspectismethodr   r   r   r   r   _is_sharding_datapipe&   s
    
r$   )r   num_of_instancesinstance_idr   c                    s(   t | }d fdd	  | | S )z
    Apply dynamic sharding over the ``sharding_filter`` DataPipe that has a method ``apply_sharding``.
    RuntimeError will be raised when multiple ``sharding_filter`` are presented in the same branch.
    Nc                    s   |   D ]\}}d }t|rt|d k	r8td| d| t|j}t|jdk r`| n|jd |}|d kr|} || qd S )NzoSharding twice on a single pipeline is likely unintended and will cause data loss. Sharding already applied to z while trying to apply to    )sharding_group)valuesr$   RuntimeErrorr!   	signaturer   len
parameters)r   Zprev_appliedZdpr   Zappliedsig_helperr&   r%   r(   r   r   r0   8   s    zapply_sharding.<locals>._helper)N)r
   )r   r%   r&   r(   r   r   r/   r   r   .   s    c                 C   s8   t | drt | dsdS t| jr0t| js4dS dS )Nset_shuffleset_seedFT)r    r!   r"   r1   r2   r#   r   r   r   _is_shuffle_datapipeO   s
    r3   )r   shuffler   c                 C   sb   |dkr| S t | }t|}dd |D }|sJ|rJtd |  } | g}|D ]}|| qN| S )a.  
    Traverse the graph of ``DataPipes`` to find and set shuffle attribute
    to each `DataPipe` that has APIs of ``set_shuffle`` and ``set_seed``.

    Args:
        datapipe: DataPipe that needs to set shuffle attribute
        shuffle: Shuffle option (default: ``None`` and no-op to the graph)
    Nc                 S   s   g | ]}t |r|qS r   )r3   ).0piper   r   r   
<listcomp>e   s      z*apply_shuffle_settings.<locals>.<listcomp>z`shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. Be aware that the default buffer size might not be sufficient for your task.)r
   r   warningswarnr4   r1   )r   r4   r   	all_pipesZ	shufflersZshufflerr   r   r   r   W   s    	)r   rngr   c                 C   s   t d t| |S )Nz`apply_shuffle_seed` is deprecated since 1.12 and will be removed in the future releases.
Please use `apply_random_seed` instead.)r8   r9   r   )r   r;   r   r   r   r   t   s    c                 C   s   t | drt| jrdS dS )Nr2   TF)r    r!   r"   r2   r#   r   r   r   _is_random_datapipe|   s    r<   c                 C   s   t | }t|}t }g }|D ]2}t||kr0qt|r|| |t| q|D ].}ttj	dtj
dj|d }|| qV| S )a  
    Traverse the graph of ``DataPipes`` to find random ``DataPipe`` with an API of
    ``set_seed`` then set the random seed based on the provided RNG.

    Args:
        datapipe: DataPipe that needs to set randomness
        rng: Random number generator to generate random seeds
    r   )Zdtype)	generator)r
   r   r   idr<   r   r   inttorchemptyZint64Zrandom_itemr2   )r   r;   r   r:   cacheZrandom_datapipesr6   Zrandom_seedr   r   r   r      s    	
 )N)r!   r8   typingr   r   r   r   r@   Z(torch.utils.data.datapipes.iter.shardingr   r   Ztorch.utils.data.graphr   r	   r
   __all__r   r?   r   boolr$   DEFAULTr   r3   r   r   r<   	Generatorr   r   r   r   r   <module>   s2   	!