b558468a95e64ee2a0d154eedc0f6bc1d9b26862,deeppavlov/skills/go_bot/network.py,GoalOrientedBotNetwork,_build_graph,#GoalOrientedBotNetwork#,66

Before Change

        self._loss = tf.nn.sparse_softmax_cross_entropy_with_logits(
            logits=_logits, labels=self._action, name="loss"
        )
        self._step = tf.Variable(0, trainable=False, name="global_step")
        self._train_op = tf.train.AdadeltaOptimizer(self.learning_rate)\
            .minimize(self._loss, global_step=self._step, name="train_op")

    def _add_placeholders(self):

After Change

        print("DEBUG: logits =", _logits)

        // probabilities normalization : elemwise multiply with action mask
        self._probs = tf.squeeze(tf.nn.softmax(_logits))
        //TODO: add action mask
        //self._probs = tf.multiply(tf.squeeze(tf.nn.softmax(_logits)),
        //                          self._action_mask,
        //                          name="probs")

Instances