f84b3616c71d52b4f3cefebe629ba4808b59b8d8,baseline/tf/tagger/model.py,TaggerModelBase,make_input,#TaggerModelBase#Any#Any#,134

Before Change

        :return:
        
        y = batch_dict.get("y", None)
        if get_version(tf) < 2:
            batch_for_model = new_placeholder_dict(train)

            for k in self.embeddings.keys():
                batch_for_model["{}:0".format(k)] = self.drop_inputs(k, batch_dict[k], train)

After Change

        :return:
        
        y = batch_dict.get("y", None)
        if not tf.executing_eagerly():
            batch_for_model = new_placeholder_dict(train)

            for k in self.embeddings.keys():

Instances