class_docstr: Store and load tf event logs from gcs.
  
  Authentication is currently only supported via the "Application
  Default Credentials" method in GCP [1]. Typical configuration:
  ensure your VM runs in a service account that has sufficient
  permissions to read/write/delete from the GCS bucket where
  checkpoints will be stored (this only works when running in GCE).
code: def get_storage_prefix(self, storage_id: pathlib.Path) -> str:
      return os.path.join(self.prefix, storage_id)
  
file_path: determined/harness/determined/tensorboard/gcs.py
imports: import logging
  import os
  import pathlib
  from typing import Any, List, Optional, no_type_check
  import requests.exceptions
  import urllib3.exceptions
  from determined.common.storage.s3 import normalize_prefix
  from determined.tensorboard import base
label_desc: Use image node_id 2 for calling the GCSTensorboardManager obj's underlying member method code with example usage: obj.get_storage_prefix(storage_id) and returns: os