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From wang...@apache.org
Subject [08/15] incubator-singa git commit: SINGA-290 Upgrade to Python 3
Date Fri, 04 Aug 2017 08:32:52 GMT
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/bfeb6127/doc/en/docs/notebook/mlp.ipynb
----------------------------------------------------------------------
diff --git a/doc/en/docs/notebook/mlp.ipynb b/doc/en/docs/notebook/mlp.ipynb
index 5dcbe28..de5fae5 100755
--- a/doc/en/docs/notebook/mlp.ipynb
+++ b/doc/en/docs/notebook/mlp.ipynb
@@ -12,11 +12,12 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
+    "from __future__ import print_function\n",
+    "from builtins import range\n",
+    "\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "%matplotlib inline"
@@ -33,7 +34,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -69,7 +70,7 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -109,15 +110,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f68af50c890>"
+       "<matplotlib.figure.Figure at 0x7f986a5ac198>"
       ]
      },
      "metadata": {},
@@ -154,9 +153,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -171,7 +168,7 @@
     "layer.engine = 'singacpp'\n",
     "dense = layer.Dense('dense', 2, input_sample_shape=(2,))\n",
     "p = dense.param_values()\n",
-    "print p[0].shape, p[1].shape\n",
+    "print(p[0].shape, p[1].shape)\n",
     "\n",
     "# init parameters\n",
     "p[0].gaussian(0, 0.1) # weight matrix\n",
@@ -205,31 +202,29 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "training loss =  0.705488\n",
-      "training loss =  0.479273\n",
-      "training loss =  0.414510\n",
-      "training loss =  0.370120\n",
-      "training loss =  0.337781\n",
-      "training loss =  0.313082\n",
-      "training loss =  0.293514\n",
-      "training loss =  0.277555\n",
-      "training loss =  0.264237\n",
-      "training loss =  0.252912\n"
+      "training loss =  0.704490\n",
+      "training loss =  0.483168\n",
+      "training loss =  0.411447\n",
+      "training loss =  0.362376\n",
+      "training loss =  0.326843\n",
+      "training loss =  0.299900\n",
+      "training loss =  0.278710\n",
+      "training loss =  0.261552\n",
+      "training loss =  0.247332\n",
+      "training loss =  0.235318\n"
      ]
     },
     {
      "data": {
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