code: def _upload_training_data(pytorch):
      return pytorch.sagemaker_session.upload_data(
          path=os.path.join(MNIST_DIR, "training"),
          key_prefix="integ-test-data/pytorch_mnist/training",
      )
  
imports: from __future__ import absolute_import
  import numpy
  import os
  import pytest
  from sagemaker.pytorch.estimator import PyTorch
  from sagemaker.pytorch.model import PyTorchModel
  from sagemaker.pytorch.processing import PyTorchProcessor
  from sagemaker.serverless import ServerlessInferenceConfig
  from sagemaker.utils import unique_name_from_base
  from tests.integ import test_region, DATA_DIR, TRAINING_DEFAULT_TIMEOUT_MINUTES, EI_SUPPORTED_REGIONS
  from tests.integ.timeout import timeout, timeout_and_delete_endpoint_by_name
label_desc: Use image node_id 11 for calling a global function with example usage: _upload_training_data(pytorch) and returns: pytorch