{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-06-11T15:26:24.930498Z",
     "start_time": "2025-06-11T15:26:24.925343Z"
    }
   },
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "\n",
    "torch.__version__"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.2.1'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T15:30:24.600025Z",
     "start_time": "2025-06-11T15:30:24.594879Z"
    }
   },
   "cell_type": "code",
   "source": [
    "a = torch.tensor(1)\n",
    "b = a.item()\n",
    "print(a)\n",
    "print(b)"
   ],
   "id": "ec73dc2f6feeece4",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(1)\n",
      "1\n"
     ]
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T15:30:58.264992Z",
     "start_time": "2025-06-11T15:30:58.260725Z"
    }
   },
   "cell_type": "code",
   "source": [
    "a = [1, 2, 3]\n",
    "b = torch.tensor(a)\n",
    "c = b.numpy().tolist()\n",
    "print(c)"
   ],
   "id": "6c3e0063d8fcc299",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3]\n"
     ]
    }
   ],
   "execution_count": 13
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T15:33:27.945096Z",
     "start_time": "2025-06-11T15:33:27.939574Z"
    }
   },
   "cell_type": "code",
   "source": [
    "a = torch.zeros(2, 3, 5)\n",
    "print(a.shape)\n",
    "\n",
    "print(a.size())\n",
    "\n",
    "print(a.numel())\n"
   ],
   "id": "d04c60d3f01351c2",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 3, 5])\n",
      "torch.Size([2, 3, 5])\n",
      "30\n"
     ]
    }
   ],
   "execution_count": 18
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": [
    "x = torch.rand(2, 3, 5)\n",
    "print(x.shape)"
   ],
   "id": "774add1439f9aa94"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
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    "version": 2
   },
   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
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