code: def prepare_batch(filename="train-batch.pt"):
      file = hf_hub_download(
          repo_id="hf-internal-testing/tourism-monthly-batch",
          filename=filename,
          repo_type="dataset",
      )
      batch = torch.load(file, map_location=torch_device)
      return batch
  
imports: import inspect
  import tempfile
  import unittest
  import numpy
  from huggingface_hub import hf_hub_download
  from transformers import is_torch_available
  from transformers.testing_utils import is_flaky, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_batch(filename) and returns: batch