Equalize CV-CUDA Backend #9292
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Equalize CV-CUDA Backend #9292
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9292
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 5 New FailuresAs of commit 29f70f5 with merge base aa35ca1 ( NEW FAILURES - The following jobs have failed:
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zy1git
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Jan 5, 2026
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I left one comment for the first round review. Feel free to let me know your thoughts.
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| if is_cvcuda: | ||
| image = F.to_cvcuda_tensor(image) | ||
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| actual = fn(image) | ||
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| if is_cvcuda: | ||
| image = F.cvcuda_to_tensor(image)[0].cpu() |
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Maybe we could combine the two if to one by writing:
if is_cvcuda:
image = F.to_cvcuda_tensor(image)
actual = fn(image)
image = F.cvcuda_to_tensor(image)[0].cpu()
else:
actual = fn(image)
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Summary
Implements the Equalize transform for CV-CUDA backend using
cvcuda.histogrameqTesting
python3 -m pytest test/test_transforms_v2.py::TestEqualize