code: def init_weights(m):
      """
      Initialize the weights of a 1D convolutional layer.
      """
      if isinstance(m, nn.Conv1d):
          nn.init.trunc_normal_(m.weight, std=0.02)
          nn.init.constant_(m.bias, 0)
  
imports: import math
  from pathlib import Path
  from typing import List, Union
  import logging
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils.parametrizations import weight_norm
label_desc: Use image node_id 3 for calling a global function with example usage: init_weights(m) without return types