class_docstr: Multi-Head Attention
docstr: get output of the multi-head attention
docstr_tok: ["get","output","of","the","multi-head","attention"]
code: def get_o(self, x):
      "get output of the multi-head attention"
      batch_size = x.shape[0]
      return self.linears[3](x.view(batch_size, -1))
  
file_path: dgl/examples/pytorch/transformer/modules/attention.py
imports: import numpy
  import torch
  import torch.nn
  from .layers import clones
label_desc: Use image node_id 3 for calling the MultiHeadAttention obj's underlying member method code with example usage: obj.get_o(x) and returns: self