def METHOD_NAME(self):
    """
    Test vert align vs naive implementation with verts as tensor.
    """
    feats = TestVertAlign.init_feats(10, 256)
    verts = (
        torch.rand((10, 100, 3), dtype=torch.float32, device=feats[0].device) * 2.0
        - 1.0
    )
    # feats in list
    out = vert_align(feats, verts, return_packed=True)
    naive_out = TestVertAlign.vert_align_naive(feats, verts, return_packed=True)
    self.assertClose(out, naive_out)
    # feats as tensor
    out = vert_align(feats[0], verts, return_packed=True)
    naive_out = TestVertAlign.vert_align_naive(feats[0], verts, return_packed=True)
    self.assertClose(out, naive_out)
    out2 = vert_align(feats[0], verts, return_packed=True, align_corners=False)
    naive_out2 = TestVertAlign.vert_align_naive(
        feats[0], verts, return_packed=True, align_corners=False
    )
    self.assertFalse(torch.allclose(out, out2))
    self.assertTrue(torch.allclose(out2, naive_out2))