Method result

tensorflow/contrib/eager/python/metrics_impl.py:340–362

Returns the result of the Metric. Args: write_summary: bool indicating whether to feed the result to the summary before returning. Returns: aggregated metric as float. Raises: ValueError: if the optional argument is not bool

(self, write_summary=True)

    return values, weights

  def result(self, write_summary=True):
    """Returns the result of the Metric.

    Args:
      write_summary: bool indicating whether to feed the result to the summary
        before returning.
    Returns:
      aggregated metric as float.
    Raises:
      ValueError: if the optional argument is not bool
    """
    # Convert the boolean to tensor for tf.cond, if it is not.
    if not isinstance(write_summary, ops.Tensor):
      write_summary = ops.convert_to_tensor(write_summary)
    t = self.numer / self.denom
    def write_summary_f():
      summary_ops.scalar(name=self.name, tensor=t)
      return t
    smart_cond.smart_cond(write_summary,
                          write_summary_f,
                          lambda: t,
                          name="")
    return t


class Accuracy(Mean):