Can you run the following and report the output?

  
      github.com
  
  
    QuantScientist/Deep-Learning-Boot-Camp/blob/master/day02-PyTORCH-and-PyCUDA/PyCUDA/01 PyCUDA verify CUDA 8.0.ipynb 38
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Deep Learning Bootcamp November 2017, GPU Computing for Data Scientists\n",
    "\n",
    "<img src=\"../images/bcamp.png\" align=\"center\">\n",
    "\n",
    "## Using CUDA, Jupyter, PyCUDA and PyTorch\n",
    "\n",
    "### 01 PyCUDA verify CUDA 8.0\n",
    "\n",
    "Web: https://www.meetup.com/Tel-Aviv-Deep-Learning-Bootcamp/events/241762893/\n",
    "\n",


  This file has been truncated. show original

  
  
    
    
  
  



  
      github.com
  
  
    QuantScientist/Deep-Learning-Boot-Camp/blob/master/day02-PyTORCH-and-PyCUDA/PyTorch/01 PyTorch GPU support test.ipynb 17
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "% reset -f\n",
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "import math\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "# ! pip install torchvision"
   ]
  },


  This file has been truncated. show original