code: def test_shape(self, input_param, input_shape):
      im = torch.rand(input_shape)
      trunc_normal_(im, **input_param)
      self.assertEqual(im.shape, input_shape)
  
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 1 for calling the TestWeightInit obj's underlying member method code with example usage: obj.test_shape(input_param, input_shape) without return types