3-mnist-run-metadata-and-histograms.py 文件源码

def train(self, images, labels):
        self.steps += 1
        feed_dict = {self.images: images, self.labels: labels}

        if self.steps == 1:
            metadata = tf.RunMetadata()
            self.session.run(self.training, feed_dict, options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE), run_metadata = metadata)
            self.summary_writer.add_run_metadata(metadata, 'step1')
        elif self.steps % 100 == 0:
            _, summary = self.session.run([self.training, self.summaries['training']], feed_dict)
            self.summary_writer.add_summary(summary, self.steps)
        else:
            self.session.run(self.training, feed_dict)