Shortcuts

XzFileLoader

class torchdata.datapipes.iter.XzFileLoader(datapipe: Iterable[Tuple[str, BufferedIOBase]], length: int = - 1)

Decompresses xz (lzma) binary streams from an Iterable DataPipe which contains tuples of path name and xy binary streams, and yields a tuple of path name and extracted binary stream (functional name: load_from_xz).

Parameters:
  • datapipe – Iterable DataPipe that provides tuples of path name and xy binary stream

  • length – Nominal length of the DataPipe

Note

The opened file handles will be closed automatically if the default DecoderDataPipe is attached. Otherwise, user should be responsible to close file handles explicitly or let Python’s GC close them periodically.

Example

>>> from torchdata.datapipes.iter import FileLister, FileOpener
>>> datapipe1 = FileLister(".", "*.xz")
>>> datapipe2 = FileOpener(datapipe1, mode="b")
>>> xz_loader_dp = datapipe2.load_from_xz()
>>> for _, stream in xz_loader_dp:
>>>     print(stream.read())
b'0123456789abcdef'

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources