From ed0ece351bdd9486557ac0278d02959fffc627c9 Mon Sep 17 00:00:00 2001
From: romaingallo <beromrousse@gmail.com>
Date: Mon, 18 Nov 2024 20:24:55 +0100
Subject: [PATCH] PyTorch install and test
Nothing more, except a useless description...
---
TD2 Deep Learning.ipynb | 79 +++++++++++++++++++++++++++++++++++------
1 file changed, 68 insertions(+), 11 deletions(-)
diff --git a/TD2 Deep Learning.ipynb b/TD2 Deep Learning.ipynb
index 00e4fdc..a14730c 100644
--- a/TD2 Deep Learning.ipynb
+++ b/TD2 Deep Learning.ipynb
@@ -33,12 +33,12 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"id": "330a42f5",
"metadata": {},
"outputs": [],
"source": [
- "%pip install torch torchvision"
+ "# ! pip install torch torchvision"
]
},
{
@@ -52,10 +52,72 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"id": "b1950f0a",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "tensor([[ 0.5683, 0.1804, 1.4743, 0.6624, -0.3736, -0.4592, 0.4064, -0.9675,\n",
+ " -0.4277, -0.2650],\n",
+ " [ 0.6056, -0.3486, -1.9553, 0.4105, 0.7670, 0.4662, 0.5283, -0.0456,\n",
+ " 1.8780, 0.4968],\n",
+ " [ 0.8474, -0.4548, 0.2919, 0.2475, 1.4503, 0.6661, 1.7254, 0.8893,\n",
+ " 0.3085, -0.0221],\n",
+ " [ 0.6990, 0.1521, -1.2816, 2.6347, 0.1262, -0.7044, -0.8741, -0.6162,\n",
+ " -0.7049, -1.2797],\n",
+ " [-0.6189, 0.4569, -1.1453, -0.8152, -0.1246, -0.4752, 0.0846, -0.5256,\n",
+ " -0.0601, 1.3087],\n",
+ " [-0.2480, -1.2089, 0.2249, -0.1609, -0.4504, -0.3741, -0.3146, 0.3680,\n",
+ " -0.4713, -1.4470],\n",
+ " [-0.2880, -2.3141, 0.6689, 0.0861, 0.2228, 0.8982, -1.0881, 2.7190,\n",
+ " -0.2674, -0.1549],\n",
+ " [-0.7673, 1.8817, 0.6502, 1.1123, -0.1254, -0.6640, 1.9256, 0.0474,\n",
+ " 0.0234, 0.3481],\n",
+ " [ 0.7740, -0.7716, -0.1533, -2.0054, -0.5630, 0.3676, -0.3526, 0.0617,\n",
+ " 1.9769, -0.7285],\n",
+ " [ 1.3182, -0.2133, 1.3239, 0.4849, 0.3648, 0.2810, 0.1524, 0.5622,\n",
+ " -0.2488, -0.2631],\n",
+ " [-0.6537, 1.8060, -0.0440, -1.2116, 1.8237, 0.5003, 0.8180, -1.3485,\n",
+ " -0.2016, 0.1752],\n",
+ " [-1.4367, 0.8463, -0.6323, -2.0651, 0.5008, -0.4669, 1.2121, 1.3548,\n",
+ " -0.6097, 0.1014],\n",
+ " [-0.8016, -1.0746, 0.7798, 2.7186, 0.5087, 1.8546, -0.9003, 0.6299,\n",
+ " -0.4445, 1.5645],\n",
+ " [-1.2421, -0.7729, 0.2683, 0.1155, -0.6617, -0.0157, 0.7872, 0.5142,\n",
+ " 1.0696, 1.4580]])\n",
+ "AlexNet(\n",
+ " (features): Sequential(\n",
+ " (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))\n",
+ " (1): ReLU(inplace=True)\n",
+ " (2): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
+ " (3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
+ " (4): ReLU(inplace=True)\n",
+ " (5): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
+ " (6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
+ " (7): ReLU(inplace=True)\n",
+ " (8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
+ " (9): ReLU(inplace=True)\n",
+ " (10): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
+ " (11): ReLU(inplace=True)\n",
+ " (12): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
+ " )\n",
+ " (avgpool): AdaptiveAvgPool2d(output_size=(6, 6))\n",
+ " (classifier): Sequential(\n",
+ " (0): Dropout(p=0.5, inplace=False)\n",
+ " (1): Linear(in_features=9216, out_features=4096, bias=True)\n",
+ " (2): ReLU(inplace=True)\n",
+ " (3): Dropout(p=0.5, inplace=False)\n",
+ " (4): Linear(in_features=4096, out_features=4096, bias=True)\n",
+ " (5): ReLU(inplace=True)\n",
+ " (6): Linear(in_features=4096, out_features=1000, bias=True)\n",
+ " )\n",
+ ")\n"
+ ]
+ }
+ ],
"source": [
"import torch\n",
"\n",
@@ -926,7 +988,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3.8.5 ('base')",
+ "display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -940,12 +1002,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
- },
- "vscode": {
- "interpreter": {
- "hash": "9e3efbebb05da2d4a1968abe9a0645745f54b63feb7a85a514e4da0495be97eb"
- }
+ "version": "3.11.9"
}
},
"nbformat": 4,
--
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