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Added Type Check for cocodetection dataset #8227
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8227
Note: Links to docs will display an error until the docs builds have been completed. ❌ 14 New Failures, 18 Unrelated FailuresAs of commit 3187381 with merge base 6d64cb3 (): NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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Thanks for the PR @RazaProdigy, and thanks @sadra-barikbin for the original report.
The changes LGTM. Before merging, could you please add a small non-regression test here:
Line 829 in 6f0deb9
Something like this (I haven't checked that it works):
def test_slice_error(self):
with self.create_dataset() as (dataset, _):
with pytest.raises(ValueError, match="Index must be of type integer"):
dataset[:2]
Thank you!
@NicolasHug Test seems to pass! |
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Thanks a lot @RazaProdigy
Reviewed By: vmoens Differential Revision: D55062775 fbshipit-source-id: 3bfbb2e607b31373bece42ef449bebb863057b34 Co-authored-by: RazaProdigy <rizaidi@hotmail.com> Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>
Fixes #7824
###Key changes:
For now added type checking in getitem function of cocodetection (coco.py) to ensure value passed is int and not a slice.
Current getitem function does not handle slice inputs and returns wrong result.
We can also work on enhancing the code to allow for slice inputs. Please do let me know if this feature is required i can work on it.