class_docstr: Multi-Head Attention optimized for efficient ANE deployment
      
code: def forward(self, q, k, v, **kwargs):
      return self._forward_impl(q, k, v, **kwargs)
  
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 5 for calling the MultiHeadAttention obj's underlying member method code with example usage: obj.forward(q, k, v) and returns: self