o ois@sddlmZddlZddlmZddlmZmZmZm Z m Z m Z m Z zddl mZWn ey3YnwdadZd d Zd d Zd dZddZddZddZdS))ModuleN) extension)_meta_registrationsdatasetsiomodelsops transformsutils) __version__PILpyavcCs |dvr td|d|adS)a* Specifies the package used to load images. Args: backend (string): Name of the image backend. one of {'PIL', 'accimage'}. The :mod:`accimage` package uses the Intel IPP library. It is generally faster than PIL, but does not support as many operations. )r accimagezInvalid backend 'z#'. Options are 'PIL' and 'accimage'N) ValueError_image_backendbackendr^/var/www/addictedbytheproject.nl/epg/venv/lib/python3.10/site-packages/torchvision/__init__.pyset_image_backends rcCtS)z: Gets the name of the package used to load images )rrrrrget_image_backend$srcCsdS)a Specifies the package used to decode videos. Args: backend (string): Name of the video backend. Only 'pyav' is supported. The :mod:`pyav` package uses the 3rd party PyAv library. It is a Pythonic binding for the FFmpeg libraries. Nrrrrrset_video_backend+s rcCr)z Returns the currently active video backend used to decode videos. Returns: str: Name of the video backend. Currently only 'pyav' is supported. )_video_backendrrrrget_video_backend7srcCs tjSN)torch_C_get_tracing_staterrrr _is_tracingBs r cCsdSrrrrrrdisable_beta_transforms_warningFsr!) modulefinderrrr torchvisionrrrrr r r versionr ImportErrorrrrrrrr r!rrrrs"  $