Attention
June 2024 Status Update: Removing DataPipes and DataLoader V2
We are re-focusing the torchdata repo to be an iterative enhancement of torch.utils.data.DataLoader. We do not plan on continuing development or maintaining the [DataPipes] and [DataLoaderV2] solutions, and they will be removed from the torchdata repo. We’ll also be revisiting the DataPipes references in pytorch/pytorch. In release torchdata==0.8.0 (July 2024) they will be marked as deprecated, and in 0.9.0 (Oct 2024) they will be deleted. Existing users are advised to pin to torchdata==0.8.0 or an older version until they are able to migrate away. Subsequent releases will not include DataPipes or DataLoaderV2. Please reach out if you suggestions or comments (please use this issue for feedback)
AISFileLister¶
- class torchdata.datapipes.iter.AISFileLister(source_datapipe: IterDataPipe[str], url: str, length: int = - 1)¶
Iterable Datapipe that lists files from the AIStore backends with the given URL prefixes (functional name:
list_files_by_ais
). Acceptable prefixes include but not limited to - ais://bucket-name, ais://bucket-name/Note
This function also supports files from multiple backends (aws://.., gcp://.., azure://.., etc)
Input must be a list and direct URLs are not supported.
- length is -1 by default, all calls to len() are invalid as
not all items are iterated at the start.
This internally uses AIStore Python SDK.
- Parameters:
source_datapipe (IterDataPipe[str]) – a DataPipe that contains URLs/URL prefixes to objects on AIS
url (str) – AIStore endpoint
length (int) – length of the datapipe
Example
>>> from torchdata.datapipes.iter import IterableWrapper, AISFileLister >>> ais_prefixes = IterableWrapper(['gcp://bucket-name/folder/', 'aws:bucket-name/folder/', 'ais://bucket-name/folder/', ...]) >>> dp_ais_urls = AISFileLister(url='localhost:8080', source_datapipe=ais_prefixes) >>> for url in dp_ais_urls: ... pass >>> # Functional API >>> dp_ais_urls = ais_prefixes.list_files_by_ais(url='localhost:8080') >>> for url in dp_ais_urls: ... pass