code: def load_subtensor(nfeat, labels, seeds, input_nodes, dev_id):
      """
      Extracts features and labels for a subset of nodes.
      """
      batch_inputs = nfeat[input_nodes].to(dev_id)
      batch_labels = labels[seeds].to(dev_id)
      return batch_inputs, batch_labels
  
imports: import argparse
  import math
  import time
  from types import SimpleNamespace
  from typing import NamedTuple
  import dgl
  import dgl.nn.pytorch
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.nn.parallel import DistributedDataParallel
  from ..None import utils
label_desc: Use image node_id 1 for calling a global function with example usage: load_subtensor(nfeat, labels, seeds, input_nodes, dev_id) and returns: batch_inputs,  batch_labels