code: def test_ill_arg(self, input_param, input_shape):
      with self.assertRaises(ValueError):
          im = torch.rand(input_shape)
          trunc_normal_(im, **input_param)
  
file_path: MONAI/tests/test_weight_init.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks.layers import trunc_normal_
label_desc: Use image node_id 2 for calling the TestWeightInit obj's underlying member method code with example usage: obj.test_ill_arg(input_param, input_shape) without return types