nsor: f32[1, 1, 2] = torch.ops.aten.add.Tensor(arg0, 8.0);  arg0 = None

        #         # File: path/to/pytorch/test_constant_input.py:6, code: z = y.relu()
        #         relu_default: f32[1, 1, 2] = torch.ops.aten.relu.default(add_tensor)
        #         return pytree.tree_unflatten([add_tensor, relu_default], self._out_spec)

    Empty torch.fx.Node input leading to a mismatched number of input with PyTorch, as
    it's ignored in ONNX graph. Thus, we delete the useless input here.

    r