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From wang...@apache.org
Subject [06/15] incubator-singa git commit: SINGA-290 Upgrade to Python 3
Date Fri, 04 Aug 2017 08:32:50 GMT
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/bfeb6127/doc/en/docs/notebook/rbm.ipynb
----------------------------------------------------------------------
diff --git a/doc/en/docs/notebook/rbm.ipynb b/doc/en/docs/notebook/rbm.ipynb
index c9aadf5..fd3309c 100755
--- a/doc/en/docs/notebook/rbm.ipynb
+++ b/doc/en/docs/notebook/rbm.ipynb
@@ -18,19 +18,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
+    "from __future__ import division\n",
+    "from __future__ import print_function\n",
+    "from future import standard_library\n",
+    "standard_library.install_aliases()\n",
+    "standard_library.install_aliases()\n",
+    "from builtins import range\n",
+    "from past.utils import old_div\n",
+    "\n",
     "import numpy as np\n",
     "import os\n",
     "import gzip\n",
     "import argparse\n",
-    "import cPickle\n",
+    "import pickle\n",
     "import utils\n",
-    "import urllib\n",
+    "import urllib.request, urllib.parse, urllib.error\n",
     "from PIL import Image\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
@@ -39,14 +45,14 @@
     "\n",
     "def load_train_data():\n",
     "    # download the data for the first time running\n",
-    "    print 'downloading data'\n",
-    "    urllib.urlretrieve('https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz', 'data.bin')\n",
-    "    print 'finished data downloading'\n",
+    "    print('downloading data')\n",
+    "    urllib.request.urlretrieve('https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz', 'data.bin')\n",
+    "    print('finished data downloading')\n",
     "    f = gzip.open('data.bin', 'rb')\n",
-    "    train_set, valid_set, test_set = cPickle.load(f)\n",
+    "    train_set, valid_set, test_set = pickle.load(f, encoding='latin1')\n",
     "    traindata = train_set[0].astype(np.float32)\n",
     "    validdata = valid_set[0].astype(np.float32)\n",
-    "    print traindata.shape, validdata.shape\n",
+    "    print(traindata.shape, validdata.shape)\n",
     "    return traindata, validdata"
    ]
   },
@@ -59,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "metadata": {
     "collapsed": true
    },
@@ -68,7 +74,7 @@
     "from singa import initializer\n",
     "from singa import optimizer\n",
     "from singa import device\n",
-    "from singa import tensor\n"
+    "from singa import tensor"
    ]
   },
   {
@@ -85,10 +91,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -111,7 +115,7 @@
     "vb = tensor.from_numpy(np.zeros(vdim, dtype = np.float32))\n",
     "hb = tensor.from_numpy(np.zeros(hdim, dtype = np.float32))\n",
     "\n",
-    "print 'Loading data ..................'\n",
+    "print('Loading data ..................')\n",
     "dat,_ = load_train_data()\n",
     "\n",
     "use_gpu = False\n",
@@ -121,7 +125,7 @@
     "    dev = device.get_default_device()\n",
     "\n",
     "for t in [w, vb, hb]:\n",
-    "    t.to_device(dev)   "
+    "    t.to_device(dev)"
    ]
   },
   {
@@ -140,32 +144,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "metadata": {
-    "collapsed": false
+    "scrolled": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0, Reconstruction error per image = 17.989441\n",
-      "Epoch 1, Reconstruction error per image = 10.955967\n",
-      "Epoch 2, Reconstruction error per image = 9.593508\n",
-      "Epoch 3, Reconstruction error per image = 8.900522\n",
-      "Epoch 4, Reconstruction error per image = 8.485637\n",
-      "Epoch 5, Reconstruction error per image = 8.187351\n",
-      "Epoch 6, Reconstruction error per image = 7.981121\n",
-      "Epoch 7, Reconstruction error per image = 7.825888\n",
-      "Epoch 8, Reconstruction error per image = 7.707948\n",
-      "Epoch 9, Reconstruction error per image = 7.589963\n"
+      "Epoch 0, Reconstruction error per image = 17.919702\n",
+      "Epoch 1, Reconstruction error per image = 10.966256\n",
+      "Epoch 2, Reconstruction error per image = 9.598818\n",
+      "Epoch 3, Reconstruction error per image = 8.899601\n",
+      "Epoch 4, Reconstruction error per image = 8.476742\n",
+      "Epoch 5, Reconstruction error per image = 8.188001\n",
+      "Epoch 6, Reconstruction error per image = 7.974924\n",
+      "Epoch 7, Reconstruction error per image = 7.822625\n",
+      "Epoch 8, Reconstruction error per image = 7.691377\n",
+      "Epoch 9, Reconstruction error per image = 7.588384\n"
      ]
     },
     {
      "data": {
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