{
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Namespace(act='ReLU', batch_size=128, bins='0,0.01,0.1,1.2', clip_grad=None, dataset='hotel', input_size=2, kernel_size=3, lr=1.0, lr_sh_rate=45, n_stgcnn=1, n_txpcnn=1, num_epochs=50, obs_seq_len=8, output_size=5, pmode='zeros', pred_seq_len=12, refpoint=0, tag='NOISE1CORR0_COS_hotel2_v1', use_lrschd=True, w_cos=1e-05, w_norm=1e-05)\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import pprint\n",
    "\n",
    "# Load the .pkl file into a Python object\n",
    "with open('/home/worker/yt/CVPRW23/Social-Implicit/checkpoint/social-implicit-hotel/args.pkl', 'rb') as f:\n",
    "    data = pickle.load(f)\n",
    "\n",
    "# Use pprint to pretty-print the object's structure\n",
    "pprint.pprint(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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