class_docstr: Fast self-attention used in Fastformer.
code: def init_weights(self, module):
      if isinstance(module, torch.nn.Linear):
          module.weight.data.normal_(mean=0.0, std=0.02)
      if (
          isinstance(module, torch.nn.Linear)
          and module.bias is not None
      ):
          module.bias.data.zero_()
  
file_path: espnet/espnet2/asr/layers/fastformer.py
imports: import numpy
  import torch
label_desc: Use image node_id 3 for calling the FastSelfAttention obj's underlying member method code with example usage: obj.init_weights(module) without return types