code: def testImageUriValidation(self):
      training_input = {
          "scaleTier": "BASIC_GPU",
          "region": "us-central1",
      }
      with self.assertRaisesRegex(ValueError, "image_uri is required"):
          _ = ai_platform_training_component.create_ai_platform_training(
              name="my_training_step",
              project_id="my-project",
              training_input=training_input,
          )
  
file_path: tfx/tfx/orchestration/kubeflow/v2/components/experimental/ai_platform_training_component_test.py
imports: import tensorflow
  from tfx.dsl.component.experimental import placeholders
  from tfx.orchestration.kubeflow.v2.components.experimental import ai_platform_training_component
  from tfx.orchestration.kubeflow.v2.components.experimental import ai_platform_training_executor
  from tfx.types import artifact_utils
  from tfx.types import channel_utils
  from tfx.types import standard_artifacts
  from tfx.utils import json_utils
label_desc: Use image node_id 4 for calling the AiPlatformTrainingComponentTest obj's underlying member method code with example usage: obj.testImageUriValidation() without return types