code: def _compute_aspect_ratios_subset_dataset(dataset, indices=None):
      if indices is None:
          indices = range(len(dataset))
  
      ds_indices = [dataset.indices[i] for i in indices]
      return compute_aspect_ratios(dataset.dataset, ds_indices)
  
imports: import bisect
  from collections import defaultdict
  import copy
  from itertools import repeat, chain
  import math
  import numpy
  import torch
  import torch.utils.data
  from torch.utils.data.sampler import BatchSampler, Sampler
  from torch.utils.model_zoo import tqdm
  import torchvision
  from PIL import Image
label_desc: Use image node_id 6 for calling a global function with example usage: _compute_aspect_ratios_subset_dataset(dataset, indices) and returns: compute_aspect_ratios