U -e@sPddlmZddlmZmZddlmZmZedeeZee e edddZ d S) )TypeVar)Dataset _split_by_node_map_style_dataset)IterableDataset_split_by_node_iterable_dataset DatasetType)datasetrank world_sizereturncCs*t|trt|||dSt|||dSdS)a Split a dataset for the node at rank `rank` in a pool of nodes of size `world_size`. For map-style datasets: Each node is assigned a chunk of data, e.g. rank 0 is given the first chunk of the dataset. To maximize data loading throughput, chunks are made of contiguous data on disk if possible. For iterable datasets: If the dataset has a number of shards that is a factor of `world_size` (i.e. if `dataset.n_shards % world_size == 0`), then the shards are evenly assigned across the nodes, which is the most optimized. Otherwise, each node keeps 1 example out of `world_size`, skipping the other examples. Args: dataset ([`Dataset`] or [`IterableDataset`]): The dataset to split by node. rank (`int`): Rank of the current node. world_size (`int`): Total number of nodes. Returns: [`Dataset`] or [`IterableDataset`]: The dataset to be used on the node at rank `rank`. )r r N) isinstancerrr)r r r rU/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/datasets/distributed.pysplit_dataset_by_node s rN) typingrZ arrow_datasetrrZiterable_datasetrrrintrrrrrs