code: def get_dynamic_plugins():
      """Returns a list specifying TensorBoard's dynamically loaded plugins.
  
      A dynamic TensorBoard plugin is specified using entry_points [1] and it is
      the robust way to integrate plugins into TensorBoard.
  
      This list can be passed to the `tensorboard.program.TensorBoard` API.
  
      Returns:
        The list of dynamic plugins.
  
      :rtype: list[Type[base_plugin.TBLoader] | Type[base_plugin.TBPlugin]]
  
      [1]: https://packaging.python.org/specifications/entry-points/
      """
      return [
          entry_point.resolve()
          for entry_point in pkg_resources.iter_entry_points(
              "tensorboard_plugins"
          )
      ]
  
imports: import logging
  import pkg_resources
  from tensorboard.plugins.audio import audio_plugin
  from tensorboard.plugins.core import core_plugin
  from tensorboard.plugins.custom_scalar import custom_scalars_plugin
  from tensorboard.plugins.debugger_v2 import debugger_v2_plugin
  from tensorboard.plugins.distribution import distributions_plugin
  from tensorboard.plugins.graph import graphs_plugin
  from tensorboard.plugins.histogram import histograms_plugin
  from tensorboard.plugins.hparams import hparams_plugin
  from tensorboard.plugins.image import images_plugin
  from tensorboard.plugins.metrics import metrics_plugin
  from tensorboard.plugins.pr_curve import pr_curves_plugin
  from tensorboard.plugins.profile_redirect import profile_redirect_plugin
  from tensorboard.plugins.scalar import scalars_plugin
  from tensorboard.plugins.text import text_plugin
  from tensorboard.plugins.mesh import mesh_plugin
  from tensorboard.plugins.wit_redirect import wit_redirect_plugin
label_desc: Use image node_id 3 for calling a global function with example usage: get_dynamic_plugins() and returns: unknown