code: def map_location_cuda(storage, loc):
      return storage.cuda()
  
file_path: MachineLearningNotebooks/how-to-use-azureml/automated-machine-learning/forecasting-pipelines/scripts/infer.py
imports: import argparse
  from datetime import datetime
  import os
  import uuid
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  import joblib
  from sklearn.metrics import mean_absolute_error, mean_squared_error
  from azureml.data.dataset_factory import TabularDatasetFactory
  from azureml.automl.runtime.shared.score import scoring, constants
  import azureml.automl.core.shared.constants
  from azureml.core import Run, Dataset, Model
label_desc: Use image node_id 2 for calling a global function with example usage: map_location_cuda(storage, loc) and returns: storage