{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e1e8183d-1c75-43d5-84f2-11ed4a043e95",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5488"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "56*98"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e179529c-1e9e-484c-810d-cc5283b301e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[0.4938, 0.6272, 0.7424, 0.8706, 0.0350, 0.4712, 0.2920, 0.3668, 0.1011],\n",
      "        [0.2043, 0.3699, 0.6485, 0.3753, 0.7622, 0.6652, 0.9545, 0.9230, 0.1376],\n",
      "        [0.0024, 0.9363, 0.4466, 0.0182, 0.6990, 0.2950, 0.9408, 0.4459, 0.4602],\n",
      "        [0.9974, 0.5928, 0.1695, 0.4071, 0.9829, 0.9592, 0.5724, 0.5596, 0.1615],\n",
      "        [0.7799, 0.5518, 0.4942, 0.0703, 0.3000, 0.8426, 0.4958, 0.7940, 0.2984]])\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "A = torch.rand(5,9)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c4ff8b0e-5adc-482c-a224-425c3794ec80",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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