class_docstr: Distributions Plugin for TensorBoard.
  
  This supports both old-style summaries (created with TensorFlow ops
  that output directly to the `histo` field of the proto) and new-
  style summaries (as created by the
  `tensorboard.plugins.histogram.summary` module).
class_docstr_tok: ["Distributions","Plugin","for","TensorBoard",".","This","supports","both","old-style","summaries","(","created","with","TensorFlow","ops","that","output","directly","to","the","`","histo","`","field","of","the","proto",")","and","new-","style","summaries","(","as","created","by","the","`","tensorboard.plugins.histogram.summary","`","module",")","."]
docstr: Instantiates DistributionsPlugin via TensorBoard core.
  
  Args:
    context: A base_plugin.TBContext instance.
docstr_tok: ["Instantiates","DistributionsPlugin","via","TensorBoard","core",".","Args",":","context",":","A","base_plugin.TBContext","instance","."]
code: def __init__(self, context):
      """Instantiates DistributionsPlugin via TensorBoard core.
  
      Args:
        context: A base_plugin.TBContext instance.
      """
      self._histograms_plugin = histograms_plugin.HistogramsPlugin(
          context
      )
  
file_path: tensorboard/tensorboard/plugins/distribution/distributions_plugin.py
imports: from werkzeug import wrappers
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.distribution import compressor
  from tensorboard.plugins.distribution import metadata
  from tensorboard.plugins.histogram import histograms_plugin
label_desc: Use image node_id 1 to create a new DistributionsPlugin object from inherited base classes: base_plugin with example: obj = DistributionsPlugin(context)