diff --git a/cifar_BaseModelAdam.pth b/cifar_BaseModelAdam.pth new file mode 100644 index 0000000000000000000000000000000000000000..65f069469eb1e447600c5dcc2c79a31d993b52bb Binary files /dev/null and b/cifar_BaseModelAdam.pth differ diff --git a/cifar_BaseModelRMSProp.pth b/cifar_BaseModelRMSProp.pth new file mode 100644 index 0000000000000000000000000000000000000000..8e057b666c1ed03198c50ff3540e812990f57263 Binary files /dev/null and b/cifar_BaseModelRMSProp.pth differ diff --git a/cifar_BaseModelSGD.pth b/cifar_BaseModelSGD.pth new file mode 100644 index 0000000000000000000000000000000000000000..516b477f0f2e7e1ad7e14a76ec127f8144125a90 Binary files /dev/null and b/cifar_BaseModelSGD.pth differ diff --git a/cnnBase.ipynb b/cnnBase.ipynb index 7dcdbc9f255ea937aadfc0c946103cd096fe1d00..952418624432088025d9c8e5f316f07860a65fdb 100644 --- a/cnnBase.ipynb +++ b/cnnBase.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -48,14 +48,14 @@ " transforms.ToTensor(),\n", " transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n", "])\n", - "full = True\n", + "full = False\n", "\n", "torch.manual_seed(1)\n", "batch_size = 32\n", "train_dataset = datasets.CIFAR10(root='./data', train=True, download=True, transform=transform_train)\n", "if full:\n", " \n", - " train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True, num_workers=6, pin_memory=True)\n", + " train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True, num_workers=4, pin_memory=True)\n", "\n", " transform_test = transforms.Compose([\n", " transforms.ToTensor(),\n", @@ -96,9 +96,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 197, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ship bird plane plane cat truck ship horse frog truck horse plane truck horse deer bird cat bird truck frog car car car dog bird car plane truck ship plane bird plane\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -123,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 194, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -174,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -233,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 188, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -287,114 +305,19 @@ }, { "cell_type": "code", - "execution_count": 195, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cuda\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f557cccda88e462fa500e6eb6812350a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/110 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (inf --> 1.689897). Saving model ...\n", - "Epoch 1/ 50, Training Loss: 1.8000634345141324, Validation Loss: 1.6898972582309804, Validation Accuracy: 0.37466666666666665, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cdb697e7298f4d04bbd78352f395878f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/110 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (1.689897 --> 1.545304). Saving model ...\n", - "Epoch 2/ 50, Training Loss: 1.5932702367955989, Validation Loss: 1.5453043668828113, Validation Accuracy: 0.43466666666666665, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1efd1e60f8ae4bab9982d7e1e53a188f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/110 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "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\\Main\\Documents\\com3013-comp-intelligence\\cnnBase.ipynb Cell 7\u001b[0m line \u001b[0;36m2\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=20'>21</a>\u001b[0m scheduler_Adam \u001b[39m=\u001b[39m optim\u001b[39m.\u001b[39mlr_scheduler\u001b[39m.\u001b[39mReduceLROnPlateau(optimizer_Adam, mode\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mmin\u001b[39m\u001b[39m'\u001b[39m, patience\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m, factor\u001b[39m=\u001b[39m\u001b[39m0.1\u001b[39m, verbose\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=21'>22</a>\u001b[0m \u001b[39m# Usage example\u001b[39;00m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=22'>23</a>\u001b[0m train_losses_Adam, val_losses_Adam, val_accuracies_Adam \u001b[39m=\u001b[39m train_model(AdamModel, train_loader, val_loader, criterion, optimizer_Adam, scheduler_Adam)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=23'>24</a>\u001b[0m \u001b[39m#train_losses_SGD, val_losses_SGD, val_accuracies_SGD = train_model(SGDModel, train_loader, val_loader, criterion, optimizer_SGD, scheduler_SGD)\u001b[39;00m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=24'>25</a>\u001b[0m \u001b[39m#train_losses_RMSProp, val_losses_RMSProp, val_accuracies_RMSProp = train_model(RMSPropModel, train_loader, val_loader, criterion, optimizer_RMSProp, scheduler_RMSProp)\u001b[39;00m\n", - "\u001b[1;32mc:\\Users\\Main\\Documents\\com3013-comp-intelligence\\cnnBase.ipynb Cell 7\u001b[0m line \u001b[0;36m1\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m model\u001b[39m.\u001b[39mtrain()\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m running_loss \u001b[39m=\u001b[39m \u001b[39m0.0\u001b[39m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=14'>15</a>\u001b[0m \u001b[39mfor\u001b[39;00m inputs, labels \u001b[39min\u001b[39;00m tqdm(train_loader):\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=15'>16</a>\u001b[0m inputs, labels \u001b[39m=\u001b[39m inputs\u001b[39m.\u001b[39mto(device), labels\u001b[39m.\u001b[39mto(device)\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/Main/Documents/com3013-comp-intelligence/cnnBase.ipynb#W5sZmlsZQ%3D%3D?line=16'>17</a>\u001b[0m optimizer\u001b[39m.\u001b[39mzero_grad()\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\tqdm\\notebook.py:249\u001b[0m, in \u001b[0;36mtqdm_notebook.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 247\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 248\u001b[0m it \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39m(tqdm_notebook, \u001b[39mself\u001b[39m)\u001b[39m.\u001b[39m\u001b[39m__iter__\u001b[39m()\n\u001b[1;32m--> 249\u001b[0m \u001b[39mfor\u001b[39;00m obj \u001b[39min\u001b[39;00m it:\n\u001b[0;32m 250\u001b[0m \u001b[39m# return super(tqdm...) will not catch exception\u001b[39;00m\n\u001b[0;32m 251\u001b[0m \u001b[39myield\u001b[39;00m obj\n\u001b[0;32m 252\u001b[0m \u001b[39m# NB: except ... [ as ...] breaks IPython async KeyboardInterrupt\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\tqdm\\std.py:1182\u001b[0m, in \u001b[0;36mtqdm.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1179\u001b[0m time \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_time\n\u001b[0;32m 1181\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 1182\u001b[0m \u001b[39mfor\u001b[39;00m obj \u001b[39min\u001b[39;00m iterable:\n\u001b[0;32m 1183\u001b[0m \u001b[39myield\u001b[39;00m obj\n\u001b[0;32m 1184\u001b[0m \u001b[39m# Update and possibly print the progressbar.\u001b[39;00m\n\u001b[0;32m 1185\u001b[0m \u001b[39m# Note: does not call self.update(1) for speed optimisation.\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\dataloader.py:630\u001b[0m, in \u001b[0;36m_BaseDataLoaderIter.__next__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 627\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_sampler_iter \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 628\u001b[0m \u001b[39m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[39;00m\n\u001b[0;32m 629\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_reset() \u001b[39m# type: ignore[call-arg]\u001b[39;00m\n\u001b[1;32m--> 630\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_next_data()\n\u001b[0;32m 631\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_num_yielded \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n\u001b[0;32m 632\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_dataset_kind \u001b[39m==\u001b[39m _DatasetKind\u001b[39m.\u001b[39mIterable \u001b[39mand\u001b[39;00m \\\n\u001b[0;32m 633\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_IterableDataset_len_called \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \\\n\u001b[0;32m 634\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_num_yielded \u001b[39m>\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_IterableDataset_len_called:\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\dataloader.py:674\u001b[0m, in \u001b[0;36m_SingleProcessDataLoaderIter._next_data\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 672\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_next_data\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m 673\u001b[0m index \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_next_index() \u001b[39m# may raise StopIteration\u001b[39;00m\n\u001b[1;32m--> 674\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_dataset_fetcher\u001b[39m.\u001b[39;49mfetch(index) \u001b[39m# may raise StopIteration\u001b[39;00m\n\u001b[0;32m 675\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_pin_memory:\n\u001b[0;32m 676\u001b[0m data \u001b[39m=\u001b[39m _utils\u001b[39m.\u001b[39mpin_memory\u001b[39m.\u001b[39mpin_memory(data, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_pin_memory_device)\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\_utils\\fetch.py:49\u001b[0m, in \u001b[0;36m_MapDatasetFetcher.fetch\u001b[1;34m(self, possibly_batched_index)\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mauto_collation:\n\u001b[0;32m 48\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset, \u001b[39m\"\u001b[39m\u001b[39m__getitems__\u001b[39m\u001b[39m\"\u001b[39m) \u001b[39mand\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset\u001b[39m.\u001b[39m__getitems__:\n\u001b[1;32m---> 49\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset\u001b[39m.\u001b[39;49m__getitems__(possibly_batched_index)\n\u001b[0;32m 50\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 51\u001b[0m data \u001b[39m=\u001b[39m [\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset[idx] \u001b[39mfor\u001b[39;00m idx \u001b[39min\u001b[39;00m possibly_batched_index]\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\dataset.py:362\u001b[0m, in \u001b[0;36mSubset.__getitems__\u001b[1;34m(self, indices)\u001b[0m\n\u001b[0;32m 358\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__getitems__\u001b[39m(\u001b[39mself\u001b[39m, indices: List[\u001b[39mint\u001b[39m]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m List[T_co]:\n\u001b[0;32m 359\u001b[0m \u001b[39m# add batched sampling support when parent dataset supports it.\u001b[39;00m\n\u001b[0;32m 360\u001b[0m \u001b[39m# see torch.utils.data._utils.fetch._MapDatasetFetcher\u001b[39;00m\n\u001b[0;32m 361\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mcallable\u001b[39m(\u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset, \u001b[39m\"\u001b[39m\u001b[39m__getitems__\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m)):\n\u001b[1;32m--> 362\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset\u001b[39m.\u001b[39;49m__getitems__([\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mindices[idx] \u001b[39mfor\u001b[39;49;00m idx \u001b[39min\u001b[39;49;00m indices]) \u001b[39m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m 363\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 364\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindices[idx]] \u001b[39mfor\u001b[39;00m idx \u001b[39min\u001b[39;00m indices]\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\dataset.py:364\u001b[0m, in \u001b[0;36mSubset.__getitems__\u001b[1;34m(self, indices)\u001b[0m\n\u001b[0;32m 362\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset\u001b[39m.\u001b[39m__getitems__([\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindices[idx] \u001b[39mfor\u001b[39;00m idx \u001b[39min\u001b[39;00m indices]) \u001b[39m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m 363\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 364\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mindices[idx]] \u001b[39mfor\u001b[39;49;00m idx \u001b[39min\u001b[39;49;00m indices]\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\utils\\data\\dataset.py:364\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 362\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset\u001b[39m.\u001b[39m__getitems__([\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindices[idx] \u001b[39mfor\u001b[39;00m idx \u001b[39min\u001b[39;00m indices]) \u001b[39m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m 363\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 364\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mindices[idx]] \u001b[39mfor\u001b[39;00m idx \u001b[39min\u001b[39;00m indices]\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torchvision\\datasets\\cifar.py:118\u001b[0m, in \u001b[0;36mCIFAR10.__getitem__\u001b[1;34m(self, index)\u001b[0m\n\u001b[0;32m 115\u001b[0m img \u001b[39m=\u001b[39m Image\u001b[39m.\u001b[39mfromarray(img)\n\u001b[0;32m 117\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtransform \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m--> 118\u001b[0m img \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtransform(img)\n\u001b[0;32m 120\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtarget_transform \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 121\u001b[0m target \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtarget_transform(target)\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\nn\\modules\\module.py:1518\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1516\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_compiled_call_impl(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 1517\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m-> 1518\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_call_impl(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\nn\\modules\\module.py:1527\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1522\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[0;32m 1523\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[0;32m 1524\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[0;32m 1525\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[0;32m 1526\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[1;32m-> 1527\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[0;32m 1529\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 1530\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torchvision\\transforms\\v2\\_container.py:53\u001b[0m, in \u001b[0;36mCompose.forward\u001b[1;34m(self, *inputs)\u001b[0m\n\u001b[0;32m 51\u001b[0m needs_unpacking \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(inputs) \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m\n\u001b[0;32m 52\u001b[0m \u001b[39mfor\u001b[39;00m transform \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtransforms:\n\u001b[1;32m---> 53\u001b[0m outputs \u001b[39m=\u001b[39m transform(\u001b[39m*\u001b[39;49minputs)\n\u001b[0;32m 54\u001b[0m inputs \u001b[39m=\u001b[39m outputs \u001b[39mif\u001b[39;00m needs_unpacking \u001b[39melse\u001b[39;00m (outputs,)\n\u001b[0;32m 55\u001b[0m \u001b[39mreturn\u001b[39;00m outputs\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\nn\\modules\\module.py:1518\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1516\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_compiled_call_impl(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 1517\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m-> 1518\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_call_impl(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torch\\nn\\modules\\module.py:1527\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1522\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[0;32m 1523\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[0;32m 1524\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[0;32m 1525\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[0;32m 1526\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[1;32m-> 1527\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[0;32m 1529\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 1530\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torchvision\\transforms\\transforms.py:688\u001b[0m, in \u001b[0;36mRandomCrop.forward\u001b[1;34m(self, img)\u001b[0m\n\u001b[0;32m 685\u001b[0m padding \u001b[39m=\u001b[39m [\u001b[39m0\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msize[\u001b[39m0\u001b[39m] \u001b[39m-\u001b[39m height]\n\u001b[0;32m 686\u001b[0m img \u001b[39m=\u001b[39m F\u001b[39m.\u001b[39mpad(img, padding, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfill, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpadding_mode)\n\u001b[1;32m--> 688\u001b[0m i, j, h, w \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_params(img, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msize)\n\u001b[0;32m 690\u001b[0m \u001b[39mreturn\u001b[39;00m F\u001b[39m.\u001b[39mcrop(img, i, j, h, w)\n", - "File \u001b[1;32mc:\\Users\\Main\\anaconda3\\envs\\PyTorch\\Lib\\site-packages\\torchvision\\transforms\\transforms.py:652\u001b[0m, in \u001b[0;36mRandomCrop.get_params\u001b[1;34m(img, output_size)\u001b[0m\n\u001b[0;32m 649\u001b[0m \u001b[39mif\u001b[39;00m w \u001b[39m==\u001b[39m tw \u001b[39mand\u001b[39;00m h \u001b[39m==\u001b[39m th:\n\u001b[0;32m 650\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39m0\u001b[39m, \u001b[39m0\u001b[39m, h, w\n\u001b[1;32m--> 652\u001b[0m i \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39;49mrandint(\u001b[39m0\u001b[39;49m, h \u001b[39m-\u001b[39;49m th \u001b[39m+\u001b[39;49m \u001b[39m1\u001b[39;49m, size\u001b[39m=\u001b[39;49m(\u001b[39m1\u001b[39;49m,))\u001b[39m.\u001b[39mitem()\n\u001b[0;32m 653\u001b[0m j \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mrandint(\u001b[39m0\u001b[39m, w \u001b[39m-\u001b[39m tw \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m, size\u001b[39m=\u001b[39m(\u001b[39m1\u001b[39m,))\u001b[39m.\u001b[39mitem()\n\u001b[0;32m 654\u001b[0m \u001b[39mreturn\u001b[39;00m i, j, th, tw\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], + "outputs": [], "source": [ "criterion = nn.CrossEntropyLoss()\n", - "\n", - "SGDModel = Net() #will use this initally for freezing\n", + "SGDModel = Net()\n", "RMSPropModel = Net()\n", "AdamModel = Net()\n", "print(device)\n", "SGDModel.to(device)\n", "RMSPropModel.to(device)\n", "AdamModel.to(device)\n", - "inputs, labels = images.to(device), labels.to(device)\n", + "\n", "\n", "\n", "#SGD\n", @@ -403,13 +326,13 @@ "#RMSProp\n", "optimizer_RMSProp = optim.RMSprop(RMSPropModel.parameters(), lr=0.001)\n", "scheduler_RMSProp = optim.lr_scheduler.ReduceLROnPlateau(optimizer_RMSProp, mode='min', patience=2, factor=0.1, verbose=True)\n", - "#Adam\n", + "# #Adam\n", "optimizer_Adam = optim.Adamax(AdamModel.parameters(), lr=0.001)\n", "scheduler_Adam = optim.lr_scheduler.ReduceLROnPlateau(optimizer_Adam, mode='min', patience=2, factor=0.1, verbose=True)\n", - "# Usage example\n", + "# # Usage example\n", "train_losses_Adam, val_losses_Adam, val_accuracies_Adam = train_model(AdamModel, train_loader, val_loader, criterion, optimizer_Adam, scheduler_Adam)\n", - "#train_losses_SGD, val_losses_SGD, val_accuracies_SGD = train_model(SGDModel, train_loader, val_loader, criterion, optimizer_SGD, scheduler_SGD)\n", - "#train_losses_RMSProp, val_losses_RMSProp, val_accuracies_RMSProp = train_model(RMSPropModel, train_loader, val_loader, criterion, optimizer_RMSProp, scheduler_RMSProp)" + "train_losses_SGD, val_losses_SGD, val_accuracies_SGD = train_model(SGDModel, train_loader, val_loader, criterion, optimizer_SGD, scheduler_SGD)\n", + "train_losses_RMSProp, val_losses_RMSProp, val_accuracies_RMSProp = train_model(RMSPropModel, train_loader, val_loader, criterion, optimizer_RMSProp, scheduler_RMSProp)" ] }, { @@ -417,373 +340,135 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "PATH = './cifar_BaseModel{0}.pth'\n", + "torch.save(SGDModel.state_dict(), PATH.format(\"SGD\"))\n", + "torch.save(AdamModel.state_dict(), PATH.format(\"Adam\"))\n", + "torch.save(RMSPropModel.state_dict(), PATH.format(\"RMSProp\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ "import copy\n", - "PATH = './cifar_BaseModelSGD.pth'\n", - "torch.save(SGDModel.state_dict(), PATH)\n", + "PATH = './cifar_BaseModel{0}.pth'\n", + "\n", "net = Net()\n", - "net.load_state_dict(torch.load(PATH))\n", + "net.load_state_dict(torch.load(PATH.format(\"SGD\")))\n", "model1 = copy.deepcopy(net)\n", - "model2 = copy.deepcopy(net)\n", - "model3 = copy.deepcopy(net)\n", + "# model2 = copy.deepcopy(net)\n", + "# model3 = copy.deepcopy(net)\n", + "# model4 = copy.deepcopy(net)\n", "# Move the models to the same device as the input tensor\n", "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "model1.to(device)\n", - "model2.to(device)\n", - "model3.to(device)" + "# model2.to(device)\n", + "# model3.to(device)\n", + "print(\"\")" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 115, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "______________________________________\n", - "Adam\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b6d62a32205c48c7a1001a65b62ef2c8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (inf --> 1.629724). Saving model ...\n", - "Epoch 1/ 5, Training Loss: 1.6367928223176436, Validation Loss: 1.6297235737244289, Validation Accuracy: 0.43266666666666664, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "df33595130c74399ac183a85e5676ea0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (1.629724 --> 1.624665). Saving model ...\n", - "Epoch 2/ 5, Training Loss: 1.6378082687204534, Validation Loss: 1.6246654242277145, Validation Accuracy: 0.43933333333333335, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "851b93c2303247d184d7f5e6242dc128", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (1.624665 --> 1.603106). Saving model ...\n", - "Epoch 3/ 5, Training Loss: 1.6432774088599464, Validation Loss: 1.6031060020128887, Validation Accuracy: 0.432, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "94bd74bc1a9b4498aa16d09d001ff39f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 1 out of 5\n", - "Epoch 4/ 5, Training Loss: 1.6412580858577381, Validation Loss: 1.6224672695000966, Validation Accuracy: 0.42733333333333334, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "48a6b65b9cda4727b04fa021a8746a83", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 2 out of 5\n", - "Epoch 5/ 5, Training Loss: 1.6375105966221202, Validation Loss: 1.6330074965953827, Validation Accuracy: 0.4126666666666667, Learning Rate: 0.001\n", - "Finished Training\n", - "SGD\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a9b3482fd49941839fe80a4029293689", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (inf --> 1.628651). Saving model ...\n", - "Epoch 1/ 5, Training Loss: 1.649433690851385, Validation Loss: 1.628651464978854, Validation Accuracy: 0.422, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "14dfcd65de9041a1b9630955220d7159", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (1.628651 --> 1.610876). Saving model ...\n", - "Epoch 2/ 5, Training Loss: 1.6398949428038163, Validation Loss: 1.610875775416692, Validation Accuracy: 0.42533333333333334, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8347a3ece740420b8fbebd9c97ff3e38", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 1 out of 5\n", - "Epoch 3/ 5, Training Loss: 1.6276560068130492, Validation Loss: 1.623688777287801, Validation Accuracy: 0.4066666666666667, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f1435a23c3e148e6b9f6e61e311746c4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 2 out of 5\n", - "Epoch 4/ 5, Training Loss: 1.6404943401163274, Validation Loss: 1.6387872894605, Validation Accuracy: 0.41933333333333334, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "aeb02664758d438db7594d23cc90e9d2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (1.610876 --> 1.608744). Saving model ...\n", - "Epoch 5/ 5, Training Loss: 1.6563103805888784, Validation Loss: 1.60874438782533, Validation Accuracy: 0.43066666666666664, Learning Rate: 0.001\n", - "Finished Training\n", - "______________________________________\n", - "RMSProp\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9c82e72274144ee0bac92435b9116791", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validation loss decreased (inf --> 1.606133). 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}, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 2 out of 5\n", - "Epoch 3/ 5, Training Loss: 1.633270805532282, Validation Loss: 1.6116455644369125, Validation Accuracy: 0.43133333333333335, Learning Rate: 0.001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "edbac7182ad24c4199d05f277bd50c21", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 00004: reducing learning rate of group 0 to 1.0000e-04.\n", - "EarlyStopping counter: 3 out of 5\n", - "Epoch 4/ 5, Training Loss: 1.6294963294809515, Validation Loss: 1.6126659065485, Validation Accuracy: 0.43333333333333335, Learning Rate: 0.0001\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ff37a2571d25475f86760319aaeecf53", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/55 [00:00<?, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EarlyStopping counter: 4 out of 5\n", - "Epoch 5/ 5, Training Loss: 1.6229591326280073, Validation Loss: 1.6171564360459645, Validation Accuracy: 0.42866666666666664, Learning Rate: 0.0001\n", - "Finished Training\n" + "Parameter containing:\n", + "tensor([[ 0.0064, -0.1274, 0.1051, ..., 0.0357, 0.0678, 0.1121],\n", + " [-0.0188, -0.0628, 0.1177, ..., -0.0939, 0.1002, -0.0765],\n", + " [-0.0496, -0.0267, 0.0270, ..., 0.0043, 0.0393, -0.0403],\n", + " ...,\n", + " [ 0.0360, 0.0225, -0.0017, ..., 0.0556, 0.0824, -0.0198],\n", + " [-0.0641, 0.1167, 0.0955, ..., -0.0527, 0.0071, 0.0603],\n", + " [-0.0589, -0.0667, 0.0751, ..., 0.0203, 0.0678, -0.0391]],\n", + " device='cuda:0', requires_grad=True)\n", + "Parameter containing:\n", + "tensor([[-0.0569, 0.0093, 0.0336, ..., -0.0224, -0.0415, 0.0276],\n", + " [-0.0529, -0.0574, -0.0280, ..., -0.0089, -0.0543, -0.0542],\n", + " [ 0.0034, -0.0011, -0.0035, ..., 0.0104, 0.0031, -0.0359],\n", + " ...,\n", + " [-0.0325, 0.0070, 0.0119, ..., -0.0126, 0.0505, 0.0549],\n", + " [-0.0590, 0.0161, -0.0404, ..., -0.0434, 0.0181, -0.0239],\n", + " [ 0.0202, -0.0174, 0.0459, ..., -0.0213, 0.0119, -0.0593]],\n", + " device='cuda:0', requires_grad=True)\n" ] } ], + "source": [ + "import random\n", + "from deap import base, creator, tools, algorithms\n", + "import numpy\n", + "import torch.nn.init as init\n", + "import copy\n", + "PATH = './cifar_BaseModel{0}.pth'\n", + "\n", + "net = Net()\n", + "net.load_state_dict(torch.load(PATH.format(\"SGD\")))\n", + "model1 = copy.deepcopy(net)\n", + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + "model1.to(device)\n", + "\n", + "\n", + "def get_last_linear_layer(model):\n", + " last_linear_layer = None\n", + " for layer in model.children():\n", + " for grandChild in layer.children():\n", + " last_linear_layer = grandChild\n", + " \n", + "\n", + " return last_linear_layer\n", + "\n", + "\n", + "\n", + "def freeze_layers(model, num_layers_to_freeze):\n", + " # Freeze all layers\n", + " for param in model.parameters():\n", + " param.requires_grad = False\n", + "\n", + " # Unfreeze the last num_layers_to_freeze layers\n", + " for param in list(model.parameters())[-num_layers_to_freeze:]:\n", + " param.requires_grad = True\n", + "\n", + "class MyNewLastLayer(nn.Module):\n", + " def __init__(self):\n", + " super(MyNewLastLayer, self).__init__()\n", + " self.fc = nn.Linear(256, 10)\n", + "\n", + " def forward(self, x):\n", + " return self.fc(x)\n", + " \n", + "def replace_last_layer(model, new_last_layer):\n", + " all_layers_except_last = list(model.children())[:-1]\n", + " # Add the new last layer to the existing layers\n", + " new_model = nn.Sequential(*all_layers_except_last, new_last_layer)\n", + " return new_model\n", + "\n", + "print(get_last_linear_layer(model1).weight)\n", + "new_last_layer = MyNewLastLayer()\n", + "model1 = replace_last_layer(model1,new_last_layer)\n", + "model1.to(device)\n", + "print(get_last_linear_layer(model1).weight)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import torch.nn.init as init\n", "\n", @@ -835,26 +520,30 @@ "scheduler_Adam = optim.lr_scheduler.ReduceLROnPlateau(optimizer_Adam, mode='min', patience=2, factor=0.1, verbose=True)\n", "\n", "# Train with different optimization algorithms\n", + "#def runGA(model, train_loader, val_loader, criterion, optimizer, scheduler, num_epochs=20, device=device):\n", + "\n", "print(\"______________________________________\")\n", "print(\"Adam\")\n", - "train_losses_Adam, val_losses_Adam, val_accuracies_Adam = train_model(model3, train_loader, val_loader, criterion, optimizer_Adam, scheduler_Adam,num_epochs=5)\n", + "train_losses_Adam, val_losses_Adam, val_accuracies_Adam = train_model(model3, train_loader, val_loader, criterion, optimizer_Adam, scheduler_Adam,num_epochs=15)\n", "print(\"SGD\")\n", - "train_losses_SGD, val_losses_SGD, val_accuracies_SGD = train_model(model1, train_loader, val_loader, criterion, optimizer_SGD, scheduler_SGD,num_epochs=5)\n", + "train_losses_SGD, val_losses_SGD, val_accuracies_SGD = train_model(model1, train_loader, val_loader, criterion, optimizer_SGD, scheduler_SGD,num_epochs=15)\n", "print(\"______________________________________\")\n", "print(\"RMSProp\")\n", - "train_losses_RMSProp, val_losses_RMSProp, val_accuracies_RMSProp = train_model(model2, train_loader, val_loader, criterion, optimizer_RMSProp, scheduler_RMSProp,num_epochs=5)\n" + "train_losses_RMSProp, val_losses_RMSProp, val_accuracies_RMSProp = train_model(model2, train_loader, val_loader, criterion, optimizer_RMSProp, scheduler_RMSProp,num_epochs=15)\n", + "print(\"______________________________________\")\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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"text/plain": [ - "<Figure size 1200x400 with 2 Axes>" + "<Figure size 640x480 with 2 Axes>" ] }, "metadata": {}, @@ -862,23 +551,34 @@ } ], "source": [ - "# Plotting\n", - "plt.figure(figsize=(12, 4))\n", - "plt.subplot(1, 2, 1)\n", - "plt.plot(train_losses_SGD, label='Training Loss, SGD')\n", - "plt.plot(val_losses_SGD, label='Validation Loss, SGD')\n", - "plt.plot(train_losses_RMSProp, label='Training Loss, RMSProp')\n", - "plt.plot(val_losses_RMSProp, label='Validation Loss, RMSProp')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "\n", - "plt.subplot(1, 2, 2)\n", - "plt.plot(val_accuracies_SGD, label='Validation Accuracy, SGD')\n", - "plt.plot(val_accuracies_RMSProp, label='Validation Accuracy, RMSProp')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.legend()\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Example data (replace these with your actual data)\n", + "epochsAdam = range(1, len(train_losses_Adam) +1)\n", + "epochsSGD = range(1, len(train_losses_SGD) +1)\n", + "epochsRMSProp = range(1, len(train_losses_RMSProp) +1)\n", + "\n", + "\n", + "fig, axs = plt.subplots(2)\n", + "\n", + "# Plotting validation losses\n", + "axs[0].plot(epochsAdam, val_losses_Adam, label='Adam Validation Loss', linestyle='-', marker='o', color='green',markersize=1)\n", + "axs[0].plot(epochsSGD, val_losses_SGD, label='SGD Validation Loss', linestyle='--', marker='s', color='orange',markersize=1)\n", + "axs[0].plot(epochsRMSProp, val_losses_RMSProp, label='RMSProp Validation Loss', linestyle=':', marker='^', color=\"brown\",markersize=1)\n", + "axs[0].set(xlabel='Epochs', ylabel='Validation Loss')\n", + "axs[0].legend()\n", + "axs[0].grid(True)\n", + "\n", + "# Plotting validation accuracies\n", + "axs[1].plot(epochsAdam, val_accuracies_Adam, label='Adam Validation Accuracy', linestyle='-', marker='o', color='green',markersize=1)\n", + "axs[1].plot(epochsSGD, val_accuracies_SGD, label='SGD Validation Accuracy', linestyle='--', marker='s', color='orange',markersize=1)\n", + "axs[1].plot(epochsRMSProp, val_accuracies_RMSProp, label='RMSProp Validation Accuracy', linestyle=':', marker='^', color='brown',markersize=1)\n", + "axs[1].set(xlabel='Epochs', ylabel='Validation Accuracy')\n", + "axs[1].legend()\n", + "axs[1].grid(True)\n", + "\n", + "# Set main title for the figure\n", + "fig.suptitle('Training and Validation Metrics for Different Optimization Algorithms')\n", "\n", "plt.show()" ]