code: def _sendDummyRequestToModel(self, api, project, model_name):
      resource_name = f"projects/{project}/models/{model_name}"
      res = (
          api.projects()
          .predict(
              name=resource_name,
              body={
                  "instances": {
                      "inputs": ""  # Just use dummy input for basic check.
                  }
              },
          )
          .execute()
      )
      absl.logging.info("Response from the pushed model: %s", res)
  
imports: import os
  import absl
  from googleapiclient import discovery
  from googleapiclient import errors
  import tensorflow
  from tfx import v1
  from tfx.components.pusher.component import Pusher
  from tfx.components.trainer.component import Trainer
  from tfx.dsl.components.base import executor_spec
  from tfx.dsl.components.common import importer
  from tfx.dsl.io import fileio
  from tfx.extensions.google_cloud_ai_platform import constants
  from tfx.extensions.google_cloud_ai_platform import runner
  from tfx.extensions.google_cloud_ai_platform.pusher import executor
  from tfx.extensions.google_cloud_ai_platform.trainer import executor
  from tfx.extensions.google_cloud_ai_platform.tuner import component
  from tfx.extensions.google_cloud_ai_platform.tuner import executor
  from tfx.extensions.google_cloud_big_query.pusher import executor
  from tfx.orchestration import test_utils
  from tfx.orchestration.kubeflow import test_utils
  from tfx.proto import trainer_pb2
  from tfx.proto import tuner_pb2
  from tfx.types import standard_artifacts
  from tfx.utils import path_utils
  from tfx.utils import telemetry_utils
label_desc: Use image node_id 16 for calling the KubeflowGCPIntegrationTest obj's underlying member method code with example usage: obj._sendDummyRequestToModel(api, project, model_name) without return types