706a4e840607d50dc94249150366a23ba720a900,examples/deep_fqi_atari/extractor.py,Extractor,_build,#Extractor#Any#,65

Before Change

                shape=[None, convnet_pars["height"], convnet_pars["width"],
                       convnet_pars["history_length"]],
                name="target_prediction")
            self._action = tf.placeholder("uint8", [None], name="action")

            loss = tf.losses.sigmoid_cross_entropy(self._target_prediction,
                                                   self._prediction)
            tf.summary.scalar("loss", loss)

After Change

    def _build(self, convnet_pars):
        with tf.variable_scope(self._name, default_name="deep_fqi_extractor"):
            self._scope_name = tf.get_default_graph().get_name_scope()
            self._x = tf.placeholder(tf.float32,
                                     shape=[None,
                                            convnet_pars["height"],

Instances