code: def pipeline_with_two_container_spec_components_2() -> (
      tfx.dsl.Pipeline
  ):
      """Pipeline with container."""
  
      container1_task = dummy_producer_component(
          output1=channel_utils.as_channel(
              [tfx.types.standard_artifacts.Model()]
          ),
          param1="value1",
      )
  
      container2_task = dummy_transformer_component(
          input1=container1_task.outputs["output1"],
          output1=channel_utils.as_channel(
              [tfx.types.standard_artifacts.Model()]
          ),
          param1="value2",
      )
  
      return tfx.dsl.Pipeline(
          pipeline_name="pipeline-with-container",
          pipeline_root=_TEST_PIPELINE_ROOT,
          components=[container1_task, container2_task],
      )
  
imports: import datetime
  import os
  from typing import List
  from kfp.pipeline_spec import pipeline_spec_pb2
  import tensorflow_model_analysis
  from tfx import v1
  from tfx.components.example_gen import utils
  from tfx.components.trainer.executor import Executor
  from tfx.dsl.component.experimental import executor_specs
  from tfx.dsl.component.experimental import placeholders
  from tfx.dsl.components.base import base_component
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.components.base import base_node
  from tfx.dsl.components.base import executor_spec
  from tfx.types import channel_utils
  from tfx.types import component_spec
  from tfx.types.experimental import simple_artifacts
  from tfx.utils import proto_utils
  from google.protobuf import message
label_desc: Use image node_id 10 for calling a global function with example usage: pipeline_with_two_container_spec_components_2() and returns: tfx