4691abc3017a4c3bc71dd5d056da42b28b51dcb2,tensorforce/models/model.py,Model,setup,#Model#,219

Before Change

                        )

                // Add all summaries specified in summary_labels
                if any(k in self.summary_labels for k in ["inputs", "states"]):
                    for name in sorted(states):
                        tf.contrib.summary.histogram(name=(self.scope + "/inputs/states/" + name), tensor=states[name])
                if any(k in self.summary_labels for k in ["inputs", "actions"]):

After Change

                    tf.contrib.summary.histogram(name="reward", tensor=reward)

                if "graph" in self.summary_labels:
                    with tf.name_scope(name="summarizer"):
                        graph_def = self.graph.as_graph_def()
                        graph_str = tf.constant(
                            value=graph_def.SerializeToString(),
                            dtype=tf.string,
                            shape=()
                        )
                        self.graph_summary = tf.contrib.summary.graph(
                            param=graph_str,
                            step=self.global_timestep
                        )
                        if "meta_param_recorder_class" in self.summarizer_spec:
                            self.graph_summary = tf.group(
                                self.graph_summary,
                                self.summarizer_spec["meta_param_recorder_class"].build_metagraph_list()
                            )

                if self.summarizer_spec is not None:
                    record_summaries.__exit__(None, None, None)
                    default_summarizer.__exit__(None, None, None)

Instances