docstr: train the embedding
docstr_tok: ["train","the","embedding"]
code: def train(self):
      """train the embedding"""
      if len(self.args.gpus) > 1:
          self.fast_train_mp()
      else:
          self.fast_train()
  
file_path: dgl/examples/pytorch/ogb/deepwalk/deepwalk.py
imports: import argparse
  import os
  import random
  import time
  import dgl
  import numpy
  import torch
  import torch.multiprocessing
  from model import SkipGramModel
  from reading_data import DeepwalkDataset
  from torch.utils.data import DataLoader
  from utils import shuffle_walks, sum_up_params
label_desc: Use image node_id 3 for calling the DeepwalkTrainer obj's underlying member method code with example usage: obj.train() without return types