allow float fill for integer images in F.pad #7950
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pmeier commented Sep 8, 2023
Comment on lines +421 to +422
| # turns all warnings into errors for this module | ||
| pytestmark = pytest.mark.filterwarnings("error") |
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This makes sure, we never miss a warning coming from the transforms again.
| return value | ||
| | ||
| max_value = get_max_value(dtype) | ||
| value_type = float if dtype.is_floating_point else int |
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If we adapt the fill value, we also want to adapt the type. I've checked and this does not hide the errors that we are fixing here.
| if isinstance(input, tv_tensors.Mask) and isinstance(value, (tuple, list)): | ||
| pytest.skip("F.pad_mask doesn't support non-scalar fill.") | ||
| | ||
| kwargs["fill"] = adapt_fill( |
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I've missed to adapt the value here.
| def test_image_correctness(self, padding, padding_mode, fill, fn): | ||
| image = make_image(dtype=torch.uint8, device="cpu") | ||
| | ||
| fill = adapt_fill(fill, dtype=torch.uint8) |
pmeier added a commit to pmeier/vision that referenced this pull request Sep 8, 2023
Conflicts: test/test_transforms_v2_refactored.py
This was referenced Sep 8, 2023
facebook-github-bot pushed a commit that referenced this pull request Sep 26, 2023
Reviewed By: matteobettini Differential Revision: D49600774 fbshipit-source-id: 3671923921f6da913ce94c327e075e4304f2e964
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Fixes #7948
cc @vfdev-5