code: def pipeline_name():
      return utils.unique_name_from_base("my-pipeline-training")
  
imports: from __future__ import absolute_import
  import os
  import uuid
  import logging
  import pytest
  from tests.integ.sagemaker.workflow.helpers import wait_pipeline_execution
  from sagemaker import TrainingInput, get_execution_role, utils, image_uris
  from sagemaker.debugger import DebuggerHookConfig, Rule, rule_configs
  from sagemaker.estimator import Estimator
  from sagemaker.pytorch.estimator import PyTorch
  from sagemaker.tensorflow import TensorFlow
  from sagemaker.utils import sagemaker_timestamp
  from sagemaker.workflow.functions import Join
  from sagemaker.workflow.parameters import ParameterInteger, ParameterString
  from sagemaker.workflow.pipeline import Pipeline
  from sagemaker.workflow.steps import TrainingStep
  from tests.integ.retry import retries
  from tests.integ import DATA_DIR
label_desc: Use image node_id 2 for calling a global function with example usage: pipeline_name() and returns: utils