{
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a89c0273",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "\n",
    "def convert_pth_to_pt(pth_path, pt_path, model_class):\n",
    "    state_dict = torch.load(pth_path)\n",
    "    model = model_class()\n",
    "    model.load_state_dict(state_dict)\n",
    "    torch.save(model, pt_path)\n",
    "    print(f'Model saved to {pt_path}')\n",
    "\n",
    "class ModelClass(torch.nn.Module):\n",
    "    def __init__(self):\n",
    "        super(ModelClass, self).__init__()\n",
    "\n",
    "    def forward(self, x):\n",
    "        pass\n",
    "\n",
    "pth_path = 'model.pth'\n",
    "pt_path = 'model.pt'\n",
    "\n",
    "convert_pth_to_pt(pth_path, pt_path, ModelClass)\n"
   ]
  }
 ],
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