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)

FSSpecFileLister

class torchdata.datapipes.iter.FSSpecFileLister(root: Union[str, Sequence[str], IterDataPipe], masks: Union[str, List[str]] = '', **kwargs)

Lists the contents of the directory at the provided root pathname or URL, and yields the full pathname or URL for each file within the directory (functional name: list_files_by_fsspec).

Parameters:

• root – The root fsspec path directory or list of path directories to list files from

• masks – Unix style filter string or string list for filtering file name(s)

• kwargs – Extra options that make sense to a particular storage connection, e.g. host, port, username, password, etc.

Example:

from torchdata.datapipes.iter import FSSpecFileLister

datapipe = FSSpecFileLister(root=dir_path)