torchvision breaking changes

0.29.0

8 breaking changes, first published September 2, 2026.

• Removed decode_image.apply_exif_orientation
  EXIF orientation is now always applied. Remove the apply_exif_orientation argument from calls. meta-pytorch.org
• Removed encode_jpeg
  Instantiate JpegEncoder with the image and call to_tensor with quality instead. meta-pytorch.org
• Removed encode_png
  Instantiate PngEncoder with the image and call to_tensor with compression_level instead. meta-pytorch.org
• Removed torchvision.io.read_file
  No equivalent is needed. Pass the file path directly to the decoder instead. meta-pytorch.org
• Default changed decode_image
  Calls that relied on the source's own channel layout must pass mode="UNCHANGED" explicitly. meta-pytorch.org
• Signature changed torchvision.io.write_file
  Use the to_file method of an encoder class instead. pypi.org
• Signature changed torchvision.io.write_jpeg
  Instantiate JpegEncoder with the image and call to_file with quality instead. pypi.org
• Signature changed torchvision.io.write_png
  Instantiate PngEncoder with the image and call to_file with compression_level instead. pypi.org

0.28.0

33 breaking changes, first published July 8, 2026.

• Behavior changed F.resize
  Mask inputs passed to F.resize with NEAREST_EXACT now get NEAREST_EXACT output rather than plain NEAREST output. Code that relied on the old mask output may see different results. github.com
• Signature changed torchvision.transforms.v2.AugMix.__init__
  Was def __init__(self, severity: int = 3, mixture_width: int = 3, chain_depth: int = -1, alpha: float = 1.0, all_ops: bool = True, interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR, fill: Union[_FillType... pypi.org
• Signature changed torchvision.transforms.v2.AutoAugment.__init__
  Was def __init__(self, policy: AutoAugmentPolicy = AutoAugmentPolicy.IMAGENET, interpolation: Union[InterpolationMode, int] = InterpolationMode.NEAREST, fill: Union[_FillType, dict[Union[type, str], _FillType]] = None) -> None; now def... pypi.org
• Signature changed torchvision.transforms.v2.ElasticTransform.__init__
  Was def __init__(self, alpha: Union[float, Sequence[float]] = 50.0, sigma: Union[float, Sequence[float]] = 5.0, interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR, fill: Union[_FillType, dict[Union[type, str]... pypi.org
• Signature changed torchvision.transforms.v2.functional.affine
  Was def affine(inpt: torch.Tensor, angle: Union[int, float], translate: list[float], scale: float, shear: list[float], interpolation: Union[InterpolationMode, int] = InterpolationMode.NEAREST, fill: _FillTypeJIT = None, center... pypi.org
• Signature changed torchvision.transforms.v2.functional.affine_image
  Was def affine_image(image: torch.Tensor, angle: Union[int, float], translate: list[float], scale: float, shear: list[float], interpolation: Union[InterpolationMode, int] = InterpolationMode.NEAREST, fill: _FillTypeJIT = None, center... pypi.org
• Signature changed torchvision.transforms.v2.functional.affine_video
  Was def affine_video(video: torch.Tensor, angle: Union[int, float], translate: list[float], scale: float, shear: list[float], interpolation: Union[InterpolationMode, int] = InterpolationMode.NEAREST, fill: _FillTypeJIT = None, center... pypi.org
• Signature changed torchvision.transforms.v2.functional.elastic
  Was def elastic(inpt: torch.Tensor, displacement: torch.Tensor, interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR, fill: _FillTypeJIT = None) -> torch.Tensor; now def elastic(inpt: torch.Tensor, displacement... pypi.org
• Signature changed torchvision.transforms.v2.functional.elastic_image
  Was def elastic_image(image: torch.Tensor, displacement: torch.Tensor, interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR, fill: _FillTypeJIT = None) -> torch.Tensor; now def elastic_image(image: torch.Tensor... pypi.org
• Signature changed torchvision.transforms.v2.functional.elastic_video
  Was def elastic_video(video: torch.Tensor, displacement: torch.Tensor, interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR, fill: _FillTypeJIT = None) -> torch.Tensor; now def elastic_video(video: torch.Tensor... pypi.org

And 23 more in this version.

Check your code

These are the changes. To see which of them reach your code, scan a public repository, or have your coding agent call check_code with your manifest or lockfile over MCP. The API reads every change in every version, not only the newest. On Team and up, a fix pull request opens for the changes that reach a connected repository. Nothing merges or deploys.