def test_validate_image_valid(self) -> None:
        """Test validation of a valid video tensor."""
        video = torch.rand(10, 3, 224, 224)
        validated_video = self.validator.validate_image(video)
        assert isinstance(validated_video, torch.Tensor)
        assert validated_video.shape == (10, 3, 224, 224)
        assert validated_video.dtype == torch.float32
Test validation of a valid video tensor.
tests/unit/data/validators/torch/test_video.py