code: def tensorboard(args):
      """Visualize runs with TensorBoard.
  
      This command will start a TensorBoard process and open a browser
      window for you. TensorBoard will show the views that are selected
      using the commands filters. This list corresponds to the the runs
      shown when running ``guild runs``.
  
      This command will not exit until you type ``Ctrl-c`` to stop it.
  
      If you'd like to change the filters used to select runs, stop the
      command and re-run it with a different set of filters. You may
      alternatively start another instance of TensorBoard in a separate
      console.
  
      TensorBoard will automatically refresh with the current run data.
  
      If you're prefer that Guild not open a browser window, run the
      command with the `--no-open` option.
  
      By default, Guild will start the TensorBoard process on a randomly
      selected free port. If you'd like to specify the port that
      TensorBoard runs on, use the `--port` option.
  
      Guild will not include batch runs by default. To include batch
      runs, use `--include-batch`.
  
      {{ runs_support.runs_arg }}
  
      {{ runs_support.all_filters }}
      """
      from . import tensorboard_impl
  
      tensorboard_impl.main(args)
  
imports: import click
  from guild import click_util
  from .None import runs_support
  from .None import server_support
label_desc: Use image node_id 1 for calling a global function with example usage: tensorboard(args) without return types