Method summary_computed

tensorflow/python/training/supervisor.py:885–902

Indicate that a summary was computed. Args: sess: A `Session` object. summary: A Summary proto, or a string holding a serialized summary proto. global_step: Int. global step this summary is associated with. If `None`, it will try to fetch the current step. Raises:

(self, sess, summary, global_step=None)

    self._coord.wait_for_stop()

  def summary_computed(self, sess, summary, global_step=None):
    """Indicate that a summary was computed.

    Args:
      sess: A `Session` object.
      summary: A Summary proto, or a string holding a serialized summary proto.
      global_step: Int. global step this summary is associated with. If `None`,
        it will try to fetch the current step.

    Raises:
      TypeError: if 'summary' is not a Summary proto or a string.
      RuntimeError: if the Supervisor was created without a `logdir`.
    """
    if not self._summary_writer:
      raise RuntimeError("Writing a summary requires a summary writer.")
    if global_step is None and self.global_step is not None:
      global_step = training_util.global_step(sess, self.global_step)
    self._summary_writer.add_summary(summary, global_step)

  def _default_global_step_tensor(self):
    """Returns the global_step from the default graph.