Fix overflow and dtype handling in rgblike_to_depthmap (NumPy + PyTorch) #12546
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DN6
reviewed
Oct 27, 2025
src/diffusers/image_processor.py
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| # You may want to cast the final result to uint16, but casting to a | ||
| # larger int type (like int32) is sufficient to fix the overflow. | ||
| # depth_map = depth_map.to(torch.uint16) # Uncomment if uint16 is strictly required | ||
| return depth_map |
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Change looks good. Could we just store the original dtype and cast back once the computation is done.
original_dtype = image.dtype
# perform compute
return depth_map.to(original_dtype)
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@bot /style |
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Style bot fixed some files and pushed the changes. |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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This PR fixes a potential overflow bug in
rgblike_to_depthmapwhen computingdepth values from RGB-like depth images.
Changes:
int32before performing the 16-bit combination (*256 +).uint8or small int.uint16casting.Rationale:
The original implementation used
2**8multiplication directly on small integer tensors,which could overflow for high byte values (≥128). The fix ensures safe arithmetic and
consistent return types.
cc @patrickvonplaten @multimodalart @psuraj