class_docstr: Metric
code: def __init__(self, **args):
      self.args = args
  
imports: import torch
  import os
  import re
  import time
  import logging
  from random import random
  from functools import reduce, partial
  import ssl
  import numpy
  import multiprocessing
  import pgl
  import paddle
  import paddle.fluid
  import paddle.fluid.layers
  from args import parser
  from utils.args import print_arguments, check_cuda
  from utils.init import init_checkpoint, init_pretraining_params
  from model import BaseGraph
  from dataloader.ogbl_ppa_dataloader import PPADataGenerator
  from monitor.train_monitor import train_and_evaluate, OgbEvaluator
label_desc: Use image node_id 1 to create a new Metric object from inherited base classes: object with example: obj = Metric()