* Fix ipynb file

tensor2tensor/visualization/TransformerVisualization.ipynb

@@ -15,7 +15,9 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from __future__ import absolute_import\n",
@@ -34,7 +36,9 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -72,7 +76,9 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -105,6 +111,7 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -178,7 +185,9 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -193,13 +202,15 @@
    ],
    "source": [
     "spec = utils.model_builder.model_fn(MODEL, features, tf.estimator.ModeKeys.EVAL, hparams, problem_names=[PROBLEM])\n",
-    "predictions_dict = spec.predictions",
+    "predictions_dict = spec.predictions"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -216,7 +227,7 @@
    "source": [
     "with tf.variable_scope(tf.get_variable_scope(), reuse=True):\n",
     "    spec = utils.model_builder.model_fn(MODEL, features, tf.estimator.ModeKeys.PREDICT, hparams, problem_names=[PROBLEM])\n",
-    "    beam_out = spec.predictions['outputs']",
+    "    beam_out = spec.predictions['outputs']"
    ]
   },
   {
@@ -229,7 +240,9 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -309,6 +322,7 @@
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
+    "collapsed": false,
     "scrolled": false
    },
    "outputs": [
@@ -355,7 +369,9 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -394,7 +410,9 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -442,6 +460,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "scrolled": true
    },
    "outputs": [],
@@ -469,9 +488,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.12"
+   "version": "2.7.13"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}