7a64a6de40303b7febb4ec02cb925dc948117160,deepplantphenomics/deepplantpheno.py,DPPModel,beginTraining,#DPPModel#,207

Before Change

        if self.__load_from_saved is not False:
            self.__log("Loading from checkpoint file...")
            saver = tf.train.Saver()
            saver.restore(self.__session, tf.train.latest_checkpoint(self.__load_from_saved))

            self.__initializeQueueRunners()

            self.__log("Computing total test accuracy/regression loss...")

After Change

                if hasattr(layer, "name"):
                    tf.summary.histogram("weights/"+layer.name, layer.weights, collections=["custom_summaries"])
                    tf.summary.histogram("biases/"+layer.name, layer.biases, collections=["custom_summaries"])
                    tf.summary.histogram("activations/"+layer.name, layer.activations, collections=["custom_summaries"])

            merged = tf.summary.merge_all(key="custom_summaries")
            train_writer = tf.summary.FileWriter(self.__tb_dir, self.__session.graph)

Instances