diff --git "a/Deep_Learning_with_TensorFlow/1.0.0/Chapter09/2. \346\224\271\351\200\240\345\220\216\347\232\204mnist_train.ipynb" "b/Deep_Learning_with_TensorFlow/1.0.0/Chapter09/2. \346\224\271\351\200\240\345\220\216\347\232\204mnist_train.ipynb"
index 1594c97a..35db9866 100644
--- "a/Deep_Learning_with_TensorFlow/1.0.0/Chapter09/2. \346\224\271\351\200\240\345\220\216\347\232\204mnist_train.ipynb"	
+++ "b/Deep_Learning_with_TensorFlow/1.0.0/Chapter09/2. \346\224\271\351\200\240\345\220\216\347\232\204mnist_train.ipynb"	
@@ -87,6 +87,7 @@
     "    # 训练模型。\n",
     "    with tf.Session() as sess:\n",
     "        tf.global_variables_initializer().run()\n",
+    "        writer = tf.summary.FileWriter(\"/log/modified_mnist_train.log\", tf.get_default_graph())\n",
     "        for i in range(TRAINING_STEPS):\n",
     "            xs, ys = mnist.train.next_batch(BATCH_SIZE)\n",
     "\n",
@@ -98,13 +99,14 @@
     "                _, loss_value, step = sess.run(\n",
     "                    [train_op, loss, global_step], feed_dict={x: xs, y_: ys},\n",
     "                    options=run_options, run_metadata=run_metadata)\n",
+    "                writer.add_run_metadata(run_metadata=run_metadata, tag=(\"tag%d\"%i), global_step=i),
     "                print(\"After %d training step(s), loss on training batch is %g.\" % (step, loss_value))\n",
     "            else:\n",
     "                _, loss_value, step = sess.run([train_op, loss, global_step], feed_dict={x: xs, y_: ys})\n",
     "\n",
     "\n",
-    "    writer = tf.summary.FileWriter(\"/log/modified_mnist_train.log\", tf.get_default_graph())\n",
-    "    writer.close()"
+    "    
+    "        writer.close()"
    ]
   },
   {