diff --git a/TD2 Deep Learning_AS.ipynb b/TD2 Deep Learning_AS.ipynb index d92c8e2d3abb15d65731f614a882d8c33f8379e1..342e60319a67868cd48329a10fb7e0f166cd8c86 100644 --- a/TD2 Deep Learning_AS.ipynb +++ b/TD2 Deep Learning_AS.ipynb @@ -299,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 3, "id": "b1950f0a", "metadata": {}, "outputs": [ @@ -307,34 +307,34 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([[-1.7472, -1.4374, -2.3920, 1.1368, -1.6179, -0.5839, 0.4861, -0.3995,\n", - " 0.4744, -0.2460],\n", - " [-1.2061, -0.2228, -0.8828, -0.7838, 0.6396, -0.7841, 0.9941, 0.0364,\n", - " 1.1352, -0.5071],\n", - " [ 0.5947, -0.9137, 0.4443, -1.8503, -0.1235, 0.3128, -1.6600, 0.8294,\n", - " 0.0213, 1.2495],\n", - " [-0.2328, 0.4233, 1.0323, -1.2687, -0.1806, 0.4282, -1.1382, 1.0321,\n", - " -0.8307, 0.2805],\n", - " [-0.8187, 1.4948, -0.8397, 0.7158, -0.8612, -0.1178, -0.9045, 0.1217,\n", - " 0.1524, -0.1895],\n", - " [ 0.4454, 0.4478, 0.6185, 0.5297, -1.1142, 1.6396, -1.0366, -1.0538,\n", - " -0.3789, 0.2747],\n", - " [ 0.7200, -0.7713, 3.0929, -0.5966, -0.0426, 0.8586, 0.3812, -0.4560,\n", - " 1.0214, 0.9401],\n", - " [-0.1564, -0.5461, 0.9168, 0.1568, -0.9573, -0.0876, -0.7733, 0.0362,\n", - " 2.4656, -1.2985],\n", - " [ 1.4899, 1.0457, -0.8055, 1.3784, -0.4825, 0.2561, 0.6096, -0.9438,\n", - " 0.0378, -0.2114],\n", - " [-0.9302, 0.8654, 1.2883, -0.8626, -0.0725, 0.3062, -1.8039, -2.7696,\n", - " -1.0206, -0.9466],\n", - " [ 1.4055, 0.9954, 1.8162, -1.4883, 1.6857, -0.1049, -0.6223, 0.4719,\n", - " 1.1519, 1.5565],\n", - " [-0.6420, -1.8022, -0.7695, -1.4587, 0.5868, -0.1670, 0.7660, -0.0545,\n", - " 0.0386, -0.2413],\n", - " [-1.1648, 0.1223, 0.1116, -1.0671, 0.0425, -1.0759, 0.0378, 0.7289,\n", - " 0.1929, -0.4515],\n", - " [-0.3728, 0.5038, -0.3667, -0.7378, 0.1783, 0.4434, -0.5464, -0.4222,\n", - " 0.9506, 0.4715]])\n", + "tensor([[ 0.2555, 0.5142, 0.9050, 0.6887, -3.4806, -0.2438, -0.9182, 0.3653,\n", + " -0.9298, -0.1004],\n", + " [ 0.1015, 0.1290, 0.3338, -1.4685, -0.9104, -0.5621, 1.2732, -0.6638,\n", + " 0.1203, 1.1361],\n", + " [-1.1418, -0.1904, -0.1097, 0.8402, 0.1132, 1.6985, -1.9142, 0.5754,\n", + " -0.2390, 0.3977],\n", + " [ 1.4522, -1.0028, -1.3353, 0.5364, -1.8395, 1.3521, 0.0924, -0.8649,\n", + " -0.1557, 0.2052],\n", + " [ 0.8001, -0.5585, 0.8460, -0.9609, -1.1242, 1.5402, -2.4606, -2.0300,\n", + " -0.6318, -0.0838],\n", + " [ 0.2683, -0.2505, -0.1922, 0.9091, 0.2451, 0.1776, -1.0072, -2.0003,\n", + " 1.0307, 2.2512],\n", + " [-1.2950, 0.6823, 0.6947, 0.4725, -0.1428, 1.4061, 0.5532, 1.2814,\n", + " 0.8082, 0.8662],\n", + " [-1.3510, 0.2161, 0.0375, 1.0638, 0.2757, 0.1830, 0.8016, 0.9672,\n", + " -0.8459, -0.3823],\n", + " [-1.1632, 0.0980, 0.9728, -0.6465, -1.6451, 1.2031, 0.8534, 0.8798,\n", + " -0.0494, 2.5921],\n", + " [-0.5641, -0.0493, -0.4666, 0.1480, 0.5392, 1.2259, 1.4591, -0.7750,\n", + " 0.1584, 1.9908],\n", + " [-0.4800, -0.3408, -0.7084, -0.1890, -0.1886, 1.3318, 0.1626, -0.9777,\n", + " 0.3622, -1.4674],\n", + " [ 1.2429, 1.0757, -1.2823, -0.8961, -0.3589, -1.9026, 1.0818, -0.1697,\n", + " -2.6758, 1.9248],\n", + " [ 0.3162, 0.5869, -0.0535, -0.1426, 0.3261, 1.0134, -0.1007, 0.7444,\n", + " -1.2844, -0.3796],\n", + " [-1.2372, 0.6372, 0.6880, 0.1457, -2.2376, -1.4584, -1.2674, 1.7228,\n", + " -0.8804, -0.5135]])\n", "AlexNet(\n", " (features): Sequential(\n", " (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))\n", @@ -404,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "6e18f2fd", "metadata": {}, "outputs": [ @@ -438,7 +438,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "462666a2", "metadata": {}, "outputs": [ @@ -446,8 +446,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "Files already downloaded and verified\n", - "Files already downloaded and verified\n" + "Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to data\\cifar-10-python.tar.gz\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "20.0%\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\Users\\arman\\Desktop\\Cours_Centrale\\Apprentissage_profond\\BE2\\mod-4-6-td-2-as\\TD2 Deep Learning_AS.ipynb Cell 12\u001b[0m line \u001b[0;36m1\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m transform \u001b[39m=\u001b[39m transforms\u001b[39m.\u001b[39mCompose(\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=13'>14</a>\u001b[0m [transforms\u001b[39m.\u001b[39mToTensor(), transforms\u001b[39m.\u001b[39mNormalize((\u001b[39m0.5\u001b[39m, \u001b[39m0.5\u001b[39m, \u001b[39m0.5\u001b[39m), (\u001b[39m0.5\u001b[39m, \u001b[39m0.5\u001b[39m, \u001b[39m0.5\u001b[39m))]\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=14'>15</a>\u001b[0m )\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=16'>17</a>\u001b[0m \u001b[39m# choose the training and test datasets\u001b[39;00m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=17'>18</a>\u001b[0m train_data \u001b[39m=\u001b[39m datasets\u001b[39m.\u001b[39;49mCIFAR10(\u001b[39m\"\u001b[39;49m\u001b[39mdata\u001b[39;49m\u001b[39m\"\u001b[39;49m, train\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, download\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, transform\u001b[39m=\u001b[39;49mtransform)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=18'>19</a>\u001b[0m test_data \u001b[39m=\u001b[39m datasets\u001b[39m.\u001b[39mCIFAR10(\u001b[39m\"\u001b[39m\u001b[39mdata\u001b[39m\u001b[39m\"\u001b[39m, train\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m, download\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, transform\u001b[39m=\u001b[39mtransform)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/arman/Desktop/Cours_Centrale/Apprentissage_profond/BE2/mod-4-6-td-2-as/TD2%20Deep%20Learning_AS.ipynb#X14sZmlsZQ%3D%3D?line=20'>21</a>\u001b[0m \u001b[39m# obtain training indices that will be used for validation\u001b[39;00m\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\cifar.py:65\u001b[0m, in \u001b[0;36mCIFAR10.__init__\u001b[1;34m(self, root, train, transform, target_transform, download)\u001b[0m\n\u001b[0;32m 62\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtrain \u001b[39m=\u001b[39m train \u001b[39m# training set or test set\u001b[39;00m\n\u001b[0;32m 64\u001b[0m \u001b[39mif\u001b[39;00m download:\n\u001b[1;32m---> 65\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdownload()\n\u001b[0;32m 67\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_integrity():\n\u001b[0;32m 68\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mDataset not found or corrupted. You can use download=True to download it\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\cifar.py:139\u001b[0m, in \u001b[0;36mCIFAR10.download\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 137\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mFiles already downloaded and verified\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 138\u001b[0m \u001b[39mreturn\u001b[39;00m\n\u001b[1;32m--> 139\u001b[0m download_and_extract_archive(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49murl, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mroot, filename\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfilename, md5\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtgz_md5)\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\utils.py:434\u001b[0m, in \u001b[0;36mdownload_and_extract_archive\u001b[1;34m(url, download_root, extract_root, filename, md5, remove_finished)\u001b[0m\n\u001b[0;32m 431\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m filename:\n\u001b[0;32m 432\u001b[0m filename \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mbasename(url)\n\u001b[1;32m--> 434\u001b[0m download_url(url, download_root, filename, md5)\n\u001b[0;32m 436\u001b[0m archive \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mjoin(download_root, filename)\n\u001b[0;32m 437\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mExtracting \u001b[39m\u001b[39m{\u001b[39;00marchive\u001b[39m}\u001b[39;00m\u001b[39m to \u001b[39m\u001b[39m{\u001b[39;00mextract_root\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\utils.py:144\u001b[0m, in \u001b[0;36mdownload_url\u001b[1;34m(url, root, filename, md5, max_redirect_hops)\u001b[0m\n\u001b[0;32m 142\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 143\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mDownloading \u001b[39m\u001b[39m\"\u001b[39m \u001b[39m+\u001b[39m url \u001b[39m+\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m to \u001b[39m\u001b[39m\"\u001b[39m \u001b[39m+\u001b[39m fpath)\n\u001b[1;32m--> 144\u001b[0m _urlretrieve(url, fpath)\n\u001b[0;32m 145\u001b[0m \u001b[39mexcept\u001b[39;00m (urllib\u001b[39m.\u001b[39merror\u001b[39m.\u001b[39mURLError, \u001b[39mOSError\u001b[39;00m) \u001b[39mas\u001b[39;00m e: \u001b[39m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m 146\u001b[0m \u001b[39mif\u001b[39;00m url[:\u001b[39m5\u001b[39m] \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mhttps\u001b[39m\u001b[39m\"\u001b[39m:\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\utils.py:48\u001b[0m, in \u001b[0;36m_urlretrieve\u001b[1;34m(url, filename, chunk_size)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_urlretrieve\u001b[39m(url: \u001b[39mstr\u001b[39m, filename: \u001b[39mstr\u001b[39m, chunk_size: \u001b[39mint\u001b[39m \u001b[39m=\u001b[39m \u001b[39m1024\u001b[39m \u001b[39m*\u001b[39m \u001b[39m32\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 47\u001b[0m \u001b[39mwith\u001b[39;00m urllib\u001b[39m.\u001b[39mrequest\u001b[39m.\u001b[39murlopen(urllib\u001b[39m.\u001b[39mrequest\u001b[39m.\u001b[39mRequest(url, headers\u001b[39m=\u001b[39m{\u001b[39m\"\u001b[39m\u001b[39mUser-Agent\u001b[39m\u001b[39m\"\u001b[39m: USER_AGENT})) \u001b[39mas\u001b[39;00m response:\n\u001b[1;32m---> 48\u001b[0m _save_response_content(\u001b[39miter\u001b[39;49m(\u001b[39mlambda\u001b[39;49;00m: response\u001b[39m.\u001b[39;49mread(chunk_size), \u001b[39mb\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m\"\u001b[39;49m), filename, length\u001b[39m=\u001b[39;49mresponse\u001b[39m.\u001b[39;49mlength)\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\utils.py:37\u001b[0m, in \u001b[0;36m_save_response_content\u001b[1;34m(content, destination, length)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_save_response_content\u001b[39m(\n\u001b[0;32m 32\u001b[0m content: Iterator[\u001b[39mbytes\u001b[39m],\n\u001b[0;32m 33\u001b[0m destination: \u001b[39mstr\u001b[39m,\n\u001b[0;32m 34\u001b[0m length: Optional[\u001b[39mint\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 35\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 36\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mopen\u001b[39m(destination, \u001b[39m\"\u001b[39m\u001b[39mwb\u001b[39m\u001b[39m\"\u001b[39m) \u001b[39mas\u001b[39;00m fh, tqdm(total\u001b[39m=\u001b[39mlength) \u001b[39mas\u001b[39;00m pbar:\n\u001b[1;32m---> 37\u001b[0m \u001b[39mfor\u001b[39;49;00m chunk \u001b[39min\u001b[39;49;00m content:\n\u001b[0;32m 38\u001b[0m \u001b[39m# filter out keep-alive new chunks\u001b[39;49;00m\n\u001b[0;32m 39\u001b[0m \u001b[39mif\u001b[39;49;00m \u001b[39mnot\u001b[39;49;00m chunk:\n\u001b[0;32m 40\u001b[0m \u001b[39mcontinue\u001b[39;49;00m\n", + "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\utils.py:48\u001b[0m, in \u001b[0;36m_urlretrieve.<locals>.<lambda>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_urlretrieve\u001b[39m(url: \u001b[39mstr\u001b[39m, filename: \u001b[39mstr\u001b[39m, chunk_size: \u001b[39mint\u001b[39m \u001b[39m=\u001b[39m \u001b[39m1024\u001b[39m \u001b[39m*\u001b[39m \u001b[39m32\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 47\u001b[0m \u001b[39mwith\u001b[39;00m urllib\u001b[39m.\u001b[39mrequest\u001b[39m.\u001b[39murlopen(urllib\u001b[39m.\u001b[39mrequest\u001b[39m.\u001b[39mRequest(url, headers\u001b[39m=\u001b[39m{\u001b[39m\"\u001b[39m\u001b[39mUser-Agent\u001b[39m\u001b[39m\"\u001b[39m: USER_AGENT})) \u001b[39mas\u001b[39;00m response:\n\u001b[1;32m---> 48\u001b[0m _save_response_content(\u001b[39miter\u001b[39m(\u001b[39mlambda\u001b[39;00m: response\u001b[39m.\u001b[39;49mread(chunk_size), \u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m), filename, length\u001b[39m=\u001b[39mresponse\u001b[39m.\u001b[39mlength)\n", + "File \u001b[1;32mC:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.11_3.11.1776.0_x64__qbz5n2kfra8p0\\Lib\\http\\client.py:466\u001b[0m, in \u001b[0;36mHTTPResponse.read\u001b[1;34m(self, amt)\u001b[0m\n\u001b[0;32m 463\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m amt \u001b[39m>\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength:\n\u001b[0;32m 464\u001b[0m \u001b[39m# clip the read to the \"end of response\"\u001b[39;00m\n\u001b[0;32m 465\u001b[0m amt \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength\n\u001b[1;32m--> 466\u001b[0m s \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfp\u001b[39m.\u001b[39mread(amt)\n\u001b[0;32m 467\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m s \u001b[39mand\u001b[39;00m amt:\n\u001b[0;32m 468\u001b[0m \u001b[39m# Ideally, we would raise IncompleteRead if the content-length\u001b[39;00m\n\u001b[0;32m 469\u001b[0m \u001b[39m# wasn't satisfied, but it might break compatibility.\u001b[39;00m\n\u001b[0;32m 470\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_close_conn()\n", + "File \u001b[1;32mC:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.11_3.11.1776.0_x64__qbz5n2kfra8p0\\Lib\\socket.py:706\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m 704\u001b[0m \u001b[39mwhile\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[0;32m 705\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 706\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_sock\u001b[39m.\u001b[39;49mrecv_into(b)\n\u001b[0;32m 707\u001b[0m \u001b[39mexcept\u001b[39;00m timeout:\n\u001b[0;32m 708\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_timeout_occurred \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n", + "File \u001b[1;32mC:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.11_3.11.1776.0_x64__qbz5n2kfra8p0\\Lib\\ssl.py:1311\u001b[0m, in \u001b[0;36mSSLSocket.recv_into\u001b[1;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[0;32m 1307\u001b[0m \u001b[39mif\u001b[39;00m flags \u001b[39m!=\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m 1308\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 1309\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m\n\u001b[0;32m 1310\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m)\n\u001b[1;32m-> 1311\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mread(nbytes, buffer)\n\u001b[0;32m 1312\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 1313\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mrecv_into(buffer, nbytes, flags)\n", + "File \u001b[1;32mC:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.11_3.11.1776.0_x64__qbz5n2kfra8p0\\Lib\\ssl.py:1167\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[1;34m(self, len, buffer)\u001b[0m\n\u001b[0;32m 1165\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 1166\u001b[0m \u001b[39mif\u001b[39;00m buffer \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m-> 1167\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_sslobj\u001b[39m.\u001b[39;49mread(\u001b[39mlen\u001b[39;49m, buffer)\n\u001b[0;32m 1168\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 1169\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_sslobj\u001b[39m.\u001b[39mread(\u001b[39mlen\u001b[39m)\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m: " ] } ], @@ -1281,7 +1309,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 16, "id": "c4c65d4b", "metadata": {}, "outputs": [ @@ -1289,16 +1317,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "model: int8 \t Size (KB): 659.806\n" + "model: int8 \t Size (KB): 96379.996\n" ] }, { "data": { "text/plain": [ - "659806" + "96379996" ] }, - "execution_count": 23, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1427,20 +1455,68 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "b4d13080", + "execution_count": 11, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\arman\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", - " warnings.warn(\n", - "C:\\Users\\arman\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n", - " warnings.warn(msg)\n" + "model: fp32 \t Size (KB): 102523.238\n" ] }, + { + "data": { + "text/plain": [ + "102523238" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "\n", + "\n", + "def print_size_of_model(model, label=\"\"):\n", + " torch.save(model.state_dict(), \"temp.p\")\n", + " size = os.path.getsize(\"temp.p\")\n", + " print(\"model: \", label, \" \\t\", \"Size (KB):\", size / 1e3)\n", + " os.remove(\"temp.p\")\n", + " return size\n", + "\n", + "\n", + "print_size_of_model(model, \"fp32\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from torchvision import datasets, transforms\n", + "from torch.utils.data.sampler import SubsetRandomSampler" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b4d13080", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", @@ -1522,7 +1598,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1538,7 +1614,7 @@ "102523238" ] }, - "execution_count": 26, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1547,9 +1623,16 @@ "print_size_of_model(model, \"ResNet\")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Le modèle de ResNet fait un peu plus de 0.1 Go" + ] + }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -1565,7 +1648,7 @@ "96379996" ] }, - "execution_count": 13, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1578,6 +1661,33 @@ "print_size_of_model(quantized_model, \"smoll_resnet\")" ] }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5.992048358831584" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(102523.238 - 96379.996)/102523.238 *100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Le processus de quantization permet une réduction de la taille du modèle de 6%" + ] + }, { "cell_type": "code", "execution_count": 14, @@ -1653,6 +1763,155 @@ "Le modèle quantized parvient à prédire la même classe que le modèle initial pour la même image" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Essayons le modèle Squeeze net de Pytorch" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\arman\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", + " warnings.warn(\n", + "C:\\Users\\arman\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=SqueezeNet1_0_Weights.IMAGENET1K_V1`. You can also use `weights=SqueezeNet1_0_Weights.DEFAULT` to get the most up-to-date weights.\n", + " warnings.warn(msg)\n", + "Downloading: \"https://download.pytorch.org/models/squeezenet1_0-b66bff10.pth\" to C:\\Users\\arman/.cache\\torch\\hub\\checkpoints\\squeezenet1_0-b66bff10.pth\n", + "100.0%\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted class is: Tibetan Mastiff\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import json\n", + "from PIL import Image\n", + "\n", + "# Choose an image to pass through the model\n", + "test_image = \"dog_but_cooler.png\"\n", + "\n", + "# Configure matplotlib for pretty inline plots\n", + "#%matplotlib inline\n", + "#%config InlineBackend.figure_format = 'retina'\n", + "\n", + "# Prepare the labels\n", + "with open(\"imagenet-simple-labels.json\") as f:\n", + " labels = json.load(f)\n", + "\n", + "# First prepare the transformations: resize the image to what the model was trained on and convert it to a tensor\n", + "data_transform = transforms.Compose(\n", + " [\n", + " transforms.Resize((224, 224)),\n", + " transforms.ToTensor(),\n", + " transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n", + " ]\n", + ")\n", + "# Load the image\n", + "\n", + "image = Image.open(test_image)\n", + "plt.imshow(image), plt.xticks([]), plt.yticks([])\n", + "\n", + "# Now apply the transformation, expand the batch dimension, and send the image to the GPU\n", + "# image = data_transform(image).unsqueeze(0).cuda()\n", + "image = data_transform(image).unsqueeze(0)\n", + "\n", + "# Download the model if it's not there already. It will take a bit on the first run, after that it's fast\n", + "model = models.squeezenet1_0(pretrained=True)\n", + "# Send the model to the GPU\n", + "# model.cuda()\n", + "# Set layers such as dropout and batchnorm in evaluation mode\n", + "model.eval()\n", + "\n", + "# Get the 1000-dimensional model output\n", + "out = model(image)\n", + "# Find the predicted class\n", + "print(\"Predicted class is: {}\".format(labels[out.argmax()]))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "model: SqueezeNet \t Size (KB): 5009.234\n" + ] + }, + { + "data": { + "text/plain": [ + "5009234" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print_size_of_model(model, \"SqueezeNet\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "model: smoll_squeezenet \t Size (KB): 5009.234\n" + ] + }, + { + "data": { + "text/plain": [ + "5009234" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "quantized_model = torch.quantization.quantize_dynamic(model, dtype=torch.qint8)\n", + "print_size_of_model(quantized_model, \"smoll_squeezenet\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Essayer de réduire la taille du modèle squeeze ne conduit à aucun changement, car celui-ci est déjà réduit" + ] + }, { "cell_type": "markdown", "id": "5d57da4b",