test: relax tolerance for TestResize.test_bounding_boxes_correctness

[ddelgadovargas-cyber]

Relax tolerance for Resize transform unit tests. I'm having the following error with the default tolerance:

AssertionError: Tensor-likes are not close!

Mismatched elements: 1 / 5 (20.0%)
Greatest absolute difference: 1.049041748046875e-05 at index (0, 0) (up to 1e-05 allowed)
Greatest relative difference: inf at index (0, 0) (up to 1.3e-06 allowed)
self = <torchvision.test.test_transforms_v2.TestResize object at 0x72bf2e9107d0>
format = <BoundingBoxFormat.XYWHR: 'XYWHR'>, size = (12, 13)
use_max_size = False
fn = <function transform_cls_to_functional.<locals>.wrapper at 0x72bf2d625da0>

    @pytest.mark.parametrize("format", list(tv_tensors.BoundingBoxFormat))
    @pytest.mark.parametrize("size", OUTPUT_SIZES)
    @pytest.mark.parametrize("use_max_size", [True, False])
    @pytest.mark.parametrize("fn", [F.resize, transform_cls_to_functional(transforms.Resize)])
    def test_bounding_boxes_correctness(self, format, size, use_max_size, fn):
        if not (max_size_kwarg := self._make_max_size_kwarg(use_max_size=use_max_size, size=size)):
            return
    
        bounding_boxes = make_bounding_boxes(format=format, canvas_size=self.INPUT_SIZE)
    
        actual = fn(bounding_boxes, size=size, **max_size_kwarg)
        expected = self._reference_resize_bounding_boxes(bounding_boxes, format=format, size=size, **max_size_kwarg)
    
        self._check_output_size(bounding_boxes, actual, size=size, **max_size_kwarg)
>       torch.testing.assert_close(actual, expected)
E       AssertionError: Tensor-likes are not close!
E       
E       Mismatched elements: 1 / 5 (20.0%)
E       Greatest absolute difference: 1.049041748046875e-05 at index (0, 0) (up to 1e-05 allowed)
E       Greatest relative difference: inf at index (0, 0) (up to 1.3e-06 allowed)

[test/test_transforms_v2](http://test/test_transforms_v2).py:925: AssertionError

[pytorch-bot]

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