Method _trigger_epoch

tensorpack/callbacks/inference.py:41–52

(self)

        pass

    def _trigger_epoch(self):
        ret = self._after_inference()
        if ret is None:
            return
        for k, v in six.iteritems(ret):
            try:
                v = float(v)
            except ValueError:
                logger.warn("{} returns a non-scalar statistics!".format(type(self).__name__))
                continue
            else:
                self.trainer.monitors.put_scalar(k, v)

    def _after_inference(self):
        """