code: def __init__(self, attr_names, parse_formats, save_path):
      self._attr_format_dict = OrderedDict(
          zip(attr_names, parse_formats)
      )
      self._file = open(save_path, "w")
      self._csv = csv.writer(self._file)
      self._csv.writerow(attr_names)
      self._file.flush()
  
file_path: dgl/examples/pytorch/gcmc/utils.py
imports: import csv
  import re
  from collections import OrderedDict
  import numpy
  import torch
  import torch.nn
  import torch.optim
label_desc: Use image node_id 1 to create a new MetricLogger object from inherited base classes: object with example: obj = MetricLogger(attr_names, parse_formats, save_path)