{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2b6bb4be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc802b47",
   "metadata": {},
   "outputs": [],
   "source": [
    "models_path = \"./current_model_120k_vi.pth\"\n",
    "name = \"./model.pth\"\n",
    "params_whole = torch.load(models_path, map_location='cpu')\n",
    "\n",
    "for key in list(params_whole.keys()):\n",
    "    if key != 'net':\n",
    "        params_whole.pop(key)\n",
    "\n",
    "keep = ['decoder', 'predictor', 'text_encoder', 'style_encoder']\n",
    "for module_name in list(params_whole['net'].keys()):\n",
    "    if module_name not in keep:\n",
    "        params_whole['net'].pop(module_name)\n",
    "\n",
    "torch.save(params_whole, name)\n",
    "\n",
    "\n",
    "os.remove(models_path)"
   ]
  }
 ],
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   "name": "python3"
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