code: def _run_with_retry(self, f, initial_retry_delay_s: int = 10):
      assert callable(f)
      return exponential_backoff_retry(
          f,
          retry_exceptions=Exception,
          initial_retry_delay_s=initial_retry_delay_s,
          max_retries=3,
      )
  
imports: import os
  import shutil
  import sys
  import tempfile
  from typing import Optional
  import boto3
  from google.cloud import storage
  from ray_release.aws import RELEASE_AWS_BUCKET
  from ray_release.cluster_manager.cluster_manager import ClusterManager
  from ray_release.exception import FileDownloadError, FileUploadError
  from ray_release.file_manager.file_manager import FileManager
  from ray_release.job_manager import JobManager
  from ray_release.logger import logger
  from ray_release.util import exponential_backoff_retry, generate_tmp_cloud_storage_path, S3_CLOUD_STORAGE, GS_CLOUD_STORAGE, GS_BUCKET
label_desc: Use image node_id 2 for calling the JobFileManager obj's underlying member method code with example usage: obj._run_with_retry(f, initial_retry_delay_s) and returns: exponential_backoff_retry