{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# QAT（resnet18）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "import torch.quantization\n",
    "import torch.quantization._numeric_suite as ns\n",
    "from torch.quantization import (\n",
    "    default_eval_fn,\n",
    "    default_qconfig,\n",
    "    quantize,\n",
    ")\n",
    "\n",
    "# 设置 warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\n",
    "    action='ignore',\n",
    "    category=DeprecationWarning,\n",
    "    module='.*'\n",
    ")\n",
    "warnings.filterwarnings(\n",
    "    action='default',\n",
    "    module='torch.quantization'\n",
    ")\n",
    "warnings.filterwarnings(\n",
    "    action='default',\n",
    "    module='torch.ao.quantization'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "name": "python3"
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
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