code: def shuffle_dataset(dataset):
      """Shuffle the dataset"""
      perm = torch.randperm(len(dataset))
      return torch.utils.data.Subset(dataset, perm)
  
imports: import argparse
  import os
  import warnings
  from pathlib import Path
  from typing import List, Union
  import numpy
  import torch
  import torch.distributed
  import torchvision.models.optical_flow
  import torchvision.prototype.models.depth.stereo
  import utils
  import visualization
  from parsing import make_dataset, make_eval_transform, make_train_transform, VALID_DATASETS
  from torch import nn
  from torchvision.transforms.functional import get_dimensions, InterpolationMode, resize
  from utils.metrics import AVAILABLE_METRICS
  from utils.norm import freeze_batch_norm
label_desc: Use image node_id 3 for calling a global function with example usage: shuffle_dataset(dataset) and returns: torch