Bugs in PixArtImageProcessor.resize_and_crop_tensor
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 68/100
- Issue type
- Bug
- Clarity
- Clearly specified
- Activity status
- Quiet
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
Research direction
Start at PixArtImageProcessor.resize_and_crop_tensor and run the reproduction from the issue with the specified input and target sizes. Trace the returned tensor shape and verify the result is torch.Size([1, 3, 960, 1280]); done means the reported case produces the expected height and width without breaking the method’s existing behavior.
Written by the indexing model from the issue text.
Description
Describe the bug
PixArtImageProcessor.resize_and_crop_tensor returns image with incorrect size
Reproduction
import torch
from diffusers.image_processor import PixArtImageProcessor
orig_height, orig_width = (832, 1152)
new_height, new_width = (960, 1280)
image = torch.rand((1, 3, orig_height, orig_width))
image = PixArtImageProcessor.resize_and_crop_tensor(image, new_width, new_height)
print(image.size())
# expected: torch.Size([1, 3, 960, 1280])
# actual: torch.Size([1, 3, 1, 1280])
Logs
No response
System Info
diffusers==0.30.0.dev0
Who can help?
No response
- Dominant language
- Python
- Stars
- 34.6k
- Forks
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- Avg merge
- 3d 16h
- Merged PRs (30d)
- 74
Contributor guide
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