class_docstr: Abstract base class for TensorBoard fetchers.
  
  Syncs TensorBoard files from remote file blob stores.
docstr: Performs actual file fetch from the remote filepath to the internal local_dir
  
  Arguments:
      filepath (str): Filepath as a string of the file's remote location
      new_file_callback (Callable, optional): Callback function that
          is fired each time a new file is fetched
docstr_tok: ["Performs","actual","file","fetch","from","the","remote","filepath","to","the","internal","local_dir","Arguments",":","filepath","(","str",")",":","Filepath","as","a","string","of","the","file","'s","remote","location","new_file_callback","(","Callable",",","optional",")",":","Callback","function","that","is","fired","each","time","a","new","file","is","fetched"]
code: def _fetch(self, filepath: str, new_file_callback: Callable) -> None:
      """Performs actual file fetch from the remote filepath to the internal local_dir
  
      Arguments:
          filepath (str): Filepath as a string of the file's remote location
          new_file_callback (Callable, optional): Callback function that
              is fired each time a new file is fetched
      """
      pass
  
file_path: determined/harness/determined/tensorboard/fetchers/base.py
imports: import abc
  import datetime
  from typing import Any, Callable, Dict, Generator, List
label_desc: Use image node_id 3 for calling the Fetcher obj's underlying member method code with example usage: obj._fetch(filepath, new_file_callback) without return types