a h@s&ddlZddlZddlmZmZddlmZddlZddlm Z m Z ddl m Z m Z mZgdZe ee ddd Ze eeee d d d Ze ed ddZe jfe eee dddZe ed ddZd!e eee dddZedede ee dddZe ed ddZe eje ddd ZdS)"N)AnyOptional) deprecated)_ShardingIterDataPipeSHARDING_PRIORITIES)DataPipe DataPipeGraph traverse_dps)apply_random_seedapply_shardingapply_shuffle_seedapply_shuffle_settingsget_all_graph_pipes)graphreturncCs t|tSN)_get_all_graph_pipes_helperset)rrM/var/www/auris/lib/python3.9/site-packages/torch/utils/data/graph_settings.pyrsr)rid_cachercCsLg}|D]:\}\}}||vr"q |||||t||q |Sr)itemsaddappendextendr)rrresultsZdp_iddatapipe sub_graphrrrrs  r)rrcCs t|tpt|dot|jS)Nr ) isinstancerhasattrinspectismethodr rrrr_is_sharding_datapipe)s   r#)rnum_of_instances instance_idrcs(t|}dfdd ||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. Ncs|D]\}}d}t|rt|dur8td|d|t|j}t|jdkr`|n|jd|}|dur|}||qdS)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)rZ prev_appliedZdprZappliedsig_helperr%r$r'rrr/=s* zapply_sharding.._helper)N)r )rr$r%r'rrr.rr 0s r cCs,t|do*t|do*t|jo*t|jS)N set_shuffleset_seed)rr r!r0r1r"rrr_is_shuffle_datapipeXs   r2)rshufflercCsb|dur |St|}t|}dd|D}|sJ|rJtd|}|g}|D]}||qN|S)aE Traverse the graph of ``DataPipes`` to find and set shuffle attribute. Apply the method 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) NcSsg|]}t|r|qSr)r2).0piperrr sz*apply_shuffle_settings..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 rwarningswarnr3r0)rr3r all_pipesZ shufflersZshufflerrrrr as  r z`apply_shuffle_seed` is deprecated since 1.12 and will be removed in the future releases. Please use `apply_random_seed` instead.)category)rrngrcCs t||Sr)r )rr<rrrr sr cCst|dot|jS)Nr1)rr r!r1r"rrr_is_random_datapipesr=cCst|}t|}t}g}|D]2}t||vr0qt|r|||t|q|D].}ttj dtj dj |d }| |qV|S)a6 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 to those ``DataPipe``. Args: datapipe: DataPipe that needs to set randomness rng: Random number generator to generate random seeds r)Zdtype) generator)r rridr=rrinttorchemptyint64Zrandom_itemr1)rr<rr:cacheZrandom_datapipesr5Z random_seedrrrr s    r )N) r r8typingrrZtyping_extensionsrrAZ(torch.utils.data.datapipes.iter.shardingrrZtorch.utils.data.graphrrr __all__listrrr@rboolr#DEFAULTr r2r FutureWarningr r= Generatorr rrrrs@     (  #