code: def get_current_avg_span(self):
      avg_span = 0.0
      for layer in self.layers:
          avg_span += (
              layer.attn.attn.adaptive_span.get_current_avg_span()
          )
      return avg_span / len(self.layers)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq.modules.layer_norm import LayerNorm
  from .adaptive_span_attention import AdaptiveSpan
label_desc: Use image node_id 5 for calling the TransformerSeq obj's underlying member method code with example usage: obj.get_current_avg_span() and returns: unknown