docstr: Export the group dependency to a csv file. Each line describes an attention layer.
  
  Output example:
  Attention layer matmul op, Group
docstr_tok: ["Export","the","group","dependency","to","a","csv","file",".","Each","line","describes","an","attention","layer",".","Output","example",":","Attention","layer","matmul","op",",","Group"]
code: def export(self, filepath):
      """
      Export the group dependency to a csv file. Each line describes an attention layer.
  
      Output example:
      Attention layer matmul op, Group
      """
      header = ["Attention layer matmul op", "Group"]
      with open(filepath, "w") as csvf:
          csv_w = csv.writer(csvf, delimiter=",")
          csv_w.writerow(header)
          for name in self.dependency:
              group = self.dependency[name]
              if len(group) > 0:
                  csv_w.writerow([name, group])
  
imports: import csv
  import logging
  import torch
  import numpy
  from .attr import get_nested_attr
label_desc: Use image node_id 6 for calling the AttentionWeightDependency obj's underlying member method code with example usage: obj.export(filepath) without return types