{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-06-25T06:29:17.879978Z",
     "start_time": "2025-06-25T06:29:16.365981Z"
    }
   },
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "y = torch.randn(2)\n",
    "print(y)\n",
    "\n",
    "m = nn.Softmax(dim=0)\n",
    "out = m(y)\n",
    "print(out)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([-0.9296, -0.1961])\n",
      "tensor([0.3244, 0.6756])\n"
     ]
    }
   ],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-25T06:31:29.348989Z",
     "start_time": "2025-06-25T06:31:29.328174Z"
    }
   },
   "cell_type": "code",
   "source": [
    "x = torch.randint(0, 255, (1, 128 * 128), dtype=torch.float32)\n",
    "fc = nn.Linear(128 * 128, 2)\n",
    "y = fc(x)\n",
    "print(y)"
   ],
   "id": "7a0673da7cb52123",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[59.5330, 43.6760]], grad_fn=<AddmmBackward0>)\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-25T06:31:56.045399Z",
     "start_time": "2025-06-25T06:31:56.041215Z"
    }
   },
   "cell_type": "code",
   "source": [
    "output = nn.Softmax(dim=1)(y)\n",
    "print(output)"
   ],
   "id": "a7135e5b93ea1669",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[1.0000e+00, 1.2984e-07]], grad_fn=<SoftmaxBackward0>)\n"
     ]
    }
   ],
   "execution_count": 3
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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