code: def run():
      """Define a pipeline to be executed using Kubeflow V2 runner."""
  
      runner_config = kubeflow_v2_dag_runner.KubeflowV2DagRunnerConfig(
          default_image=configs.PIPELINE_IMAGE
      )
  
      dsl_pipeline = pipeline.create_pipeline(
          pipeline_name=configs.PIPELINE_NAME,
          pipeline_root=_PIPELINE_ROOT,
          data_path=_DATA_PATH,
          # TODO(step 7): (Optional) Uncomment here to use BigQueryExampleGen.
          # query=configs.BIG_QUERY_QUERY,
          preprocessing_fn=configs.PREPROCESSING_FN,
          run_fn=configs.RUN_FN,
          train_args=trainer_pb2.TrainArgs(
              num_steps=configs.TRAIN_NUM_STEPS
          ),
          eval_args=trainer_pb2.EvalArgs(
              num_steps=configs.EVAL_NUM_STEPS
          ),
          eval_accuracy_threshold=configs.EVAL_ACCURACY_THRESHOLD,
          serving_model_dir=_SERVING_MODEL_DIR,
          # TODO(step 7): (Optional) Uncomment here to use provide GCP related
          #               config for BigQuery with Beam DirectRunner.
          # beam_pipeline_args=configs.
          # BIG_QUERY_WITH_DIRECT_RUNNER_BEAM_PIPELINE_ARGS,
          # TODO(step 8): (Optional) Uncomment below to use Dataflow.
          # beam_pipeline_args=configs.DATAFLOW_BEAM_PIPELINE_ARGS,
          # TODO(step 9): (Optional) Uncomment below to use Cloud AI Platform.
          # ai_platform_training_args=configs.GCP_AI_PLATFORM_TRAINING_ARGS,
          # TODO(step 9): (Optional) Uncomment below to use Cloud AI Platform.
          # ai_platform_serving_args=configs.GCP_AI_PLATFORM_SERVING_ARGS,
      )
  
      runner = kubeflow_v2_dag_runner.KubeflowV2DagRunner(
          config=runner_config
      )
  
      runner.run(pipeline=dsl_pipeline)
  
imports: import os
  from absl import logging
  from tfx.experimental.templates.taxi.pipeline import configs
  from tfx.experimental.templates.taxi.pipeline import pipeline
  from tfx.orchestration.kubeflow.v2 import kubeflow_v2_dag_runner
  from tfx.proto import trainer_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: run() without return types