code: def dummy_data():
      ### 3 imgs from mnist that are used to simulated generated ones
      return torch.load(
          os.path.join(PATH, "data/mnist_clean_train_dataset_sample")
      ).data
  
file_path: benchmark_VAE/tests/test_baseSampler.py
imports: import os
  import numpy
  import pytest
  import torch
  from imageio import imread
  from pythae.models import BaseAE, BaseAEConfig
  from pythae.samplers import BaseSampler, BaseSamplerConfig
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_data() and returns: torch