001_validate_tensorflow_installation.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Validate tensorflow installation\n",
    "=====\n",
    "Reference: https://www.tensorflow.org/install/install_linux#validate_your_installation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add local folder to the module search path\n",
    "import os\n",
    "import sys\n",
    "module_path = os.path.abspath(os.path.join('..'))\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run this cell if you have GPU's\n",
    "# Selects one GPU to run this notebook. Otherwise, all GPU's will be occupied.\n",
    "from utils import gpu\n",
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = str(gpu.pick_gpu_lowest_memory())\n",
    "print('cuda:{}'.format(os.environ[\"CUDA_VISIBLE_DEVICES\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hello = tf.constant('Hello, TensorFlow!')\n",
    "sess = tf.Session()\n",
    "print(sess.run(hello))"
   ]
  }
 ],
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