docstr: export the reshape dependencies as a csv file.
  
  Output example:
  Reshape OP, Dependent Layers
  model.view.1,layer1.1.conv2,layer1.0.conv2,conv1
  model.mean.1,layer1.0.conv1
  model.reshape.1,layer1.1.conv1
docstr_tok: ["export","the","reshape","dependencies","as","a","csv","file",".","Output","example",":","Reshape","OP",",","Dependent","Layers","model.view.1",",","layer1.1.conv2",",","layer1.0.conv2",",","conv1","model.mean.1",",","layer1.0.conv1","model.reshape.1",",","layer1.1.conv1"]
code: def export(self, filepath):
      """
      export the reshape dependencies as a csv file.
  
      Output example:
      Reshape OP, Dependent Layers
      model.view.1,layer1.1.conv2,layer1.0.conv2,conv1
      model.mean.1,layer1.0.conv1
      model.reshape.1,layer1.1.conv1
      """
      header = ["Reshape OP", "Dependent Layers"]
      with open(filepath, "w") as csvf:
          csv_w = csv.writer(csvf, delimiter=",")
          csv_w.writerow(header)
          for reshape_op in self.dependency:
              row = [reshape_op].extend(self.dependency[reshape_op])
              csv_w.writerow(row)
  
imports: import csv
  import logging
  import torch
  import numpy
  from .attr import get_nested_attr
label_desc: Use image node_id 4 for calling the ReshapeDependency obj's underlying member method code with example usage: obj.export(filepath) without return types