class_docstr: Multi-Head Attention optimized for efficient ANE deployment
      
code: def _reset_parameters(module):
      if isinstance(module, nn.Conv2d):
          nn.init.xavier_uniform_(module.weight)
          nn.init.constant_(module.bias, 0.0)
  
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 2 for calling the MultiHeadAttention obj's underlying member method code with example usage: obj._reset_parameters(module) without return types