code: def __init__(self, indices):
      self.indices = indices
  
file_path: dgl/examples/mxnet/gin/dataloader.py
imports: import math
  import dgl
  import numpy
  from mxnet import nd
  from mxnet.gluon.data import DataLoader, Sampler
  from sklearn.model_selection import StratifiedKFold
label_desc: Use image node_id 1 to create a new SubsetRandomSampler object from inherited base classes: Sampler with example: obj = SubsetRandomSampler(indices)