{
 "cells": [
  {
   "cell_type": "code",
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   "id": "448d884d",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0.0140)\n",
      "20\n",
      "cpu\n",
      "cuda\n"
     ]
    }
   ],
   "source": [
    "import lib\n",
    "\n",
    "import torch\n",
    "\n",
    "T = torch.rand(8, 4)\n",
    "Q = lib.quantize_q4_1(T)\n",
    "\n",
    "dif = T - Q.dequantize()\n",
    "print(abs(dif.sum()))\n",
    "\n",
    "print(Q.nbytes)\n",
    "\n",
    "print(Q.device)\n",
    "\n",
    "Q.to(\"cuda\")\n",
    "print(Q.device)\n"
   ]
  }
 ],
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