class_docstr: Start a trainer job on Google Cloud AI Platform using a default Trainer.
class_docstr_tok: ["Start","a","trainer","job","on","Google","Cloud","AI","Platform","using","a","default","Trainer","."]
code: def _GetExecutorClass(self):
      return tfx_trainer_executor.Executor
  
file_path: tfx/tfx/extensions/google_cloud_ai_platform/trainer/executor.py
imports: from typing import Any, Dict, List
  import absl
  from tfx import types
  from tfx.components.trainer import executor
  from tfx.dsl.components.base import base_executor
  from tfx.extensions.google_cloud_ai_platform import runner
  from tfx.extensions.google_cloud_ai_platform.constants import ENABLE_VERTEX_KEY
  from tfx.extensions.google_cloud_ai_platform.constants import VERTEX_REGION_KEY
  from tfx.types import standard_component_specs
  from tfx.utils import doc_controls
  from tfx.utils import json_utils
  from tfx.utils import name_utils
label_desc: Use image node_id 1 for calling the Executor obj's underlying member method code with example usage: obj._GetExecutorClass() and returns: tfx_trainer_executor