class_docstr: Conv1d module with customized initialization.
class_docstr_tok: ["Conv1d","module","with","customized","initialization","."]
docstr: Reset parameters.
docstr_tok: ["Reset","parameters","."]
code: def reset_parameters(self):
      """Reset parameters."""
      torch.nn.init.kaiming_normal_(self.weight, nonlinearity="relu")
      if self.bias is not None:
          torch.nn.init.constant_(self.bias, 0.0)
  
file_path: espnet/espnet2/gan_tts/wavenet/residual_block.py
imports: import math
  from typing import Optional, Tuple
  import torch
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the Conv1d obj's underlying member method code with example usage: obj.reset_parameters() without return types