class_docstr: Conv2d module with customized initialization.
class_docstr_tok: ["Conv2d","module","with","customized","initialization","."]
docstr: Reset parameters.
docstr_tok: ["Reset","parameters","."]
code: def reset_parameters(self):
      """Reset parameters."""
      self.weight.data.fill_(1.0 / np.prod(self.kernel_size))
      if self.bias is not None:
          torch.nn.init.constant_(self.bias, 0.0)
  
imports: from typing import Any, Dict, List, Optional
  import numpy
  import torch
  import torch.nn.functional
  from espnet2.gan_tts.wavenet.residual_block import Conv1d
label_desc: Use image node_id 2 for calling the Conv2d obj's underlying member method code with example usage: obj.reset_parameters() without return types