feat: add initial Jupyter notebook for basic tensor operations and convolution layer demonstration

09.ipynb

@@ -0,0 +1,101 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-06-16T08:22:25.477936Z",
+     "start_time": "2025-06-16T08:22:25.474514Z"
+    }
+   },
+   "source": [
+    "import torch\n",
+    "import torch.nn as nn"
+   ],
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-06-16T08:20:55.729969Z",
+     "start_time": "2025-06-16T08:20:55.664951Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "input_feat = torch.tensor([[4, 1, 7, 5], [4, 4, 2, 5], [7, 7, 2, 4], [1, 0, 2, 4]], dtype=torch.float32)\n",
+    "print(input_feat)\n",
+    "print(input_feat.shape)"
+   ],
+   "id": "c2fef52f697ea63",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor([[4., 1., 7., 5.],\n",
+      "        [4., 4., 2., 5.],\n",
+      "        [7., 7., 2., 4.],\n",
+      "        [1., 0., 2., 4.]])\n",
+      "torch.Size([4, 4])\n"
+     ]
+    }
+   ],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-06-16T08:22:26.834622Z",
+     "start_time": "2025-06-16T08:22:26.825132Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "conv2d = nn.Conv2d(1, 1, (2, 2), stride=1, padding='same', bias=True)\n",
+    "# 默认情况随机初始化参数\n",
+    "print(conv2d.weight)\n",
+    "print(conv2d.bias)"
+   ],
+   "id": "1903942bae26fde7",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Parameter containing:\n",
+      "tensor([[[[ 0.4068, -0.3036],\n",
+      "          [ 0.4212,  0.4779]]]], requires_grad=True)\n",
+      "Parameter containing:\n",
+      "tensor([0.0521], requires_grad=True)\n"
+     ]
+    }
+   ],
+   "execution_count": 5
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}