Tensorflow_CheckGPUs.ipynb

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   "cell_type": "code",
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   "metadata": {
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   "source": [
    "import tensorflow as tf"
   ]
  },
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   "execution_count": 2,
   "metadata": {},
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     "data": {
      "text/plain": [
       "[name: \"/cpu:0\"\n",
       " device_type: \"CPU\"\n",
       " memory_limit: 268435456\n",
       " locality {\n",
       " }\n",
       " incarnation: 15018161674468486769, name: \"/gpu:0\"\n",
       " device_type: \"GPU\"\n",
       " memory_limit: 209846272\n",
       " locality {\n",
       "   bus_id: 1\n",
       " }\n",
       " incarnation: 15651173893355476478\n",
       " physical_device_desc: \"device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0\", name: \"/gpu:1\"\n",
       " device_type: \"GPU\"\n",
       " memory_limit: 210173952\n",
       " locality {\n",
       "   bus_id: 1\n",
       " }\n",
       " incarnation: 5861384227968485238\n",
       " physical_device_desc: \"device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0\"]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.python.client import device_lib\n",
    "\n",
    "device_lib.list_local_devices()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "\n"
   ]
  }
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