model_12.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing model_12.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile model_12.py\n",
    "\n",
    "# All of the code below is included in the model_12.py\n",
    "\n",
    "# I like to put a comment at the top of the file explaining\n",
    "# how this model is different from the previous one.\n",
    "\n",
    "import torch\n",
    "def train():\n",
    "  # model training code\n",
    "  model.save('model.pt')\n",
    "\n",
    "train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model_12.py\r\n"
     ]
    }
   ],
   "source": [
    "!ls | grep model_12.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "!spell run --machine-type V100x2\\\n",
    "    --pip torch\\>=1.0.0\\\n",
    "    --pip scikit-image\\\n",
    "    --pip torchvision\\\n",
    "    --mount uploads/bob_ross_segmented_v4:/spell/bob_ross_segmented\\\n",
    "    'cd models; python model_12.py'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "!spell cp runs/62/checkpoints/ /tmp/checkpoints"
   ]
  }
 ],
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   "language": "python",
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