Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add detail to type for functional.to_tensor pic #8449

Open
wants to merge 7 commits into
base: main
Choose a base branch
from
Open
Changes from 5 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion torchvision/transforms/functional.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@
from PIL import Image
from PIL.Image import Image as PILImage
from torch import Tensor
from numpy.typing import NDArray

try:
import accimage
Expand Down Expand Up @@ -124,7 +125,7 @@
return img.ndim in {2, 3}


def to_tensor(pic: Union[PILImage, np.ndarray]) -> Tensor:
def to_tensor(pic: Union[PILImage, NDArray[np.uint8]]) -> Tensor:

Check warning on line 128 in torchvision/transforms/functional.py

View workflow job for this annotation

GitHub Actions / bc

Function to_tensor: pic changed from Union[PILImage, np.ndarray] to Union[PILImage, NDArray[np.uint8]]
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Sorry @adamtheturtle I don't think this is correct, to_tensor also accepts numpy arrays of float values.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Thank you for taking another look @NicolasHug . I have attempted to update this PR. We will get there!

"""Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor.
This function does not support torchscript.

Expand Down
Loading