diff --git a/.gitignore b/.gitignore index f3436fe1fd3e8a7064887098b38e50dfda48b27d..dcd64bfd17bd311094a22638b3d76463d2eb2b44 100644 --- a/.gitignore +++ b/.gitignore @@ -168,3 +168,6 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ + +/hymenoptera_data +hymenoptera_data.zip diff --git a/TD2 Deep Learning.ipynb b/TD2 Deep Learning.ipynb index 1b828439e7257a9252155ed50c1670484c112560..4b1a638f060a9510b7ba9b5c63f81a27fd556995 100644 --- a/TD2 Deep Learning.ipynb +++ b/TD2 Deep Learning.ipynb @@ -7,16 +7,7 @@ "id": "7edf7168" }, "source": [ - "# TD2: Deep learning" - ] - }, - { - "cell_type": "markdown", - "id": "fbb8c8df", - "metadata": { - "id": "fbb8c8df" - }, - "source": [ + "# TD2: Deep learning\n", "In this TD, you must modify this notebook to answer the questions. To do this,\n", "\n", "1. Fork this repository\n", @@ -278,6 +269,7 @@ ], "source": [ "import numpy as np\n", + "import torch\n", "from torchvision import datasets, transforms\n", "from torch.utils.data.sampler import SubsetRandomSampler\n", "\n", @@ -376,14 +368,16 @@ "import torch.nn.functional as F\n", "\n", "# define the CNN architecture\n", - "\n", - "\n", "class Net(nn.Module):\n", " def __init__(self):\n", " super(Net, self).__init__()\n", - " self.conv1 = nn.Conv2d(3, 6, 5) # 3 input image channel, 6 output channels, 5x5 square convolution kernel\n", - " self.pool = nn.MaxPool2d(2, 2) # max pooling over a (2, 2) window\n", - " self.conv2 = nn.Conv2d(6, 16, 5) # 6 input image channel, 16 output channels, 5x5 square convolution kernel\n", + " self.conv1 = nn.Conv2d(\n", + " 3, 6, 5\n", + " ) # 3 input image channel, 6 output channels, 5x5 square convolution kernel\n", + " self.pool = nn.MaxPool2d(2, 2) # max pooling over a (2, 2) window\n", + " self.conv2 = nn.Conv2d(\n", + " 6, 16, 5\n", + " ) # 6 input image channel, 16 output channels, 5x5 square convolution kernel\n", " self.fc1 = nn.Linear(16 * 5 * 5, 120)\n", " self.fc2 = nn.Linear(120, 84)\n", " self.fc3 = nn.Linear(84, 10)\n", @@ -391,7 +385,7 @@ " def forward(self, x):\n", " x = self.pool(F.relu(self.conv1(x)))\n", " x = self.pool(F.relu(self.conv2(x)))\n", - " x = x.view(-1, 16 * 5 * 5) # flatten image input\n", + " x = x.view(-1, 16 * 5 * 5) # flatten image input\n", " x = F.relu(self.fc1(x))\n", " x = F.relu(self.fc2(x))\n", " x = self.fc3(x)\n", @@ -413,16 +407,8 @@ "id": "a2dc4974" }, "source": [ - "Loss function and training using SGD (Stochastic Gradient Descent) optimizer" - ] - }, - { - "cell_type": "markdown", - "id": "UnZE1mV2CgbL", - "metadata": { - "id": "UnZE1mV2CgbL" - }, - "source": [ + "Loss function and training using SGD (Stochastic Gradient Descent) optimizer\n", + "\n", "Training and validation accuracies are tracked to identify if overfit occurs." ] }, @@ -472,13 +458,14 @@ } ], "source": [ + "import torch.nn as nn\n", "import torch.optim as optim\n", "\n", "criterion = nn.CrossEntropyLoss() # specify loss function\n", "optimizer = optim.SGD(model.parameters(), lr=0.01) # specify optimizer\n", "\n", "# n_epochs = 30 # number of epochs to train the model\n", - "n_epochs = 15 # early stopping\n", + "n_epochs = 15 # early stopping\n", "train_loss_list = [] # list to store loss to visualize\n", "train_acc_list = [] # list to store training accuracy to visualize\n", "valid_acc_list = [] # list to store validation accuracy to visualize\n", @@ -510,7 +497,7 @@ " # Perform a single optimization step (parameter update)\n", " optimizer.step()\n", " # Update training loss\n", - " train_loss += loss.item() * data.size(0) # loss.item() * data.size(0) = loss\n", + " train_loss += loss.item() * data.size(0) # loss.item() * data.size(0) = loss\n", " # Update training accuracy\n", " _, pred = torch.max(output, 1)\n", " correct_tensor = pred.eq(target.data.view_as(pred))\n", @@ -808,14 +795,19 @@ ], "source": [ "# define the CNN architecture\n", - "\n", "class NewNet(nn.Module):\n", " def __init__(self, dropout=0.2):\n", " super(NewNet, self).__init__()\n", - " self.conv1 = nn.Conv2d(3, 16, 3, padding=1) # -- input, 16 output, 3x3 square convolution kernel with padding of 1\n", - " self.conv2 = nn.Conv2d(16, 32, 3, padding=1) # 16 input, 32 output, 3x3 square convolution kernel with padding of 1\n", - " self.conv3 = nn.Conv2d(32, 64, 3, padding=1) # 32 input, 64 output, 3x3 square convolution kernel with padding of 1\n", - " self.pool = nn.MaxPool2d(2, 2) # max pooling over a (2, 2) window\n", + " self.conv1 = nn.Conv2d(\n", + " 3, 16, 3, padding=1\n", + " ) # -- input, 16 output, 3x3 square convolution kernel with padding of 1\n", + " self.conv2 = nn.Conv2d(\n", + " 16, 32, 3, padding=1\n", + " ) # 16 input, 32 output, 3x3 square convolution kernel with padding of 1\n", + " self.conv3 = nn.Conv2d(\n", + " 32, 64, 3, padding=1\n", + " ) # 32 input, 64 output, 3x3 square convolution kernel with padding of 1\n", + " self.pool = nn.MaxPool2d(2, 2) # max pooling over a (2, 2) window\n", " self.fc1 = nn.Linear(64 * 4 * 4, 512)\n", " self.fc2 = nn.Linear(512, 64)\n", " self.fc3 = nn.Linear(64, 10)\n", @@ -825,7 +817,7 @@ " x = self.pool(F.relu(self.conv1(x)))\n", " x = self.pool(F.relu(self.conv2(x)))\n", " x = self.pool(F.relu(self.conv3(x)))\n", - " x = x.view(-1, 64 * 4 * 4) # flatten image input\n", + " x = x.view(-1, 64 * 4 * 4) # flatten image input\n", " x = self.dropout(F.relu(self.fc1(x)))\n", " x = self.dropout(F.relu(self.fc2(x)))\n", " x = self.fc3(x)\n", @@ -899,7 +891,7 @@ "optimizer = optim.SGD(model_new.parameters(), lr=0.01) # specify optimizer\n", "\n", "# n_epochs = 30 # number of epochs to train the model\n", - "n_epochs = 20 # early stopping\n", + "n_epochs = 20 # early stopping\n", "train_loss_list = [] # list to store loss to visualize\n", "train_acc_list = [] # list to store training accuracy to visualize\n", "valid_acc_list = [] # list to store validation accuracy to visualize\n", @@ -931,7 +923,7 @@ " # Perform a single optimization step (parameter update)\n", " optimizer.step()\n", " # Update training loss\n", - " train_loss += loss.item() * data.size(0) # loss.item() * data.size(0) = loss\n", + " train_loss += loss.item() * data.size(0) # loss.item() * data.size(0) = loss\n", " # Update training accuracy\n", " _, pred = torch.max(output, 1)\n", " correct_tensor = pred.eq(target.data.view_as(pred))\n", @@ -1416,6 +1408,13 @@ "Try training aware quantization to mitigate the impact on the accuracy (doc available here https://pytorch.org/docs/stable/quantization.html#torch.quantization.quantize_dynamic)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As the impact of quantization is limited, using aware quantization does not seem necessary here." + ] + }, { "cell_type": "markdown", "id": "201470f9", @@ -1474,11 +1473,11 @@ "# Choose an image to pass through the model\n", "# test_image = \"dog.png\" # Golden Retriever\n", "# test_image = 'porte.jpeg' # Doormat\n", - "test_image = \"table.jpeg\" # Dining table\n", + "test_image = \"table.jpeg\" # Dining table\n", "\n", "# Configure matplotlib for pretty inline plots\n", - "#%matplotlib inline\n", - "#%config InlineBackend.figure_format = 'retina'\n", + "# %matplotlib inline\n", + "# %config InlineBackend.figure_format = 'retina'\n", "\n", "# Prepare the labels\n", "with open(\"imagenet-simple-labels.json\") as f:\n", @@ -1602,7 +1601,7 @@ "source": [ "# Check if the quantized model still predicts the same class\n", "# Choose an image to pass through the model\n", - "test_image = \"dog.png\" # Golden Retriever\n", + "test_image = \"dog.png\" # Golden Retriever\n", "# test_image = 'porte.jpeg' # Doormat\n", "# test_image = \"table.jpeg\" # Dining table\n", "\n", @@ -1685,7 +1684,7 @@ "\n", "# Choose an image to pass through the model\n", "# test_image = \"dog.png\" # Golden Retriever\n", - "test_image = 'porte.jpeg' # Doormat\n", + "test_image = \"porte.jpeg\" # Doormat\n", "# test_image = \"table.jpeg\" # Dining table\n", "\n", "# Prepare the labels\n", @@ -1749,32 +1748,25 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 15, "id": "be2d31f5", "metadata": { "id": "be2d31f5" }, "outputs": [ { - "ename": "FileNotFoundError", - "evalue": "[WinError 3] Le chemin d’accès spécifié est introuvable: 'hymenoptera_data\\\\train'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\sophi\\OneDrive\\Documents\\ETUDES\\6-ECL\\3A\\MOD\\4_6\\mod_4_6-td2\\TD2 Deep Learning.ipynb Cell 48\u001b[0m line \u001b[0;36m3\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=33'>34</a>\u001b[0m data_dir \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mhymenoptera_data\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=34'>35</a>\u001b[0m \u001b[39m# Create train and validation datasets and loaders\u001b[39;00m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=35'>36</a>\u001b[0m image_datasets \u001b[39m=\u001b[39m {\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=36'>37</a>\u001b[0m x: datasets\u001b[39m.\u001b[39;49mImageFolder(os\u001b[39m.\u001b[39;49mpath\u001b[39m.\u001b[39;49mjoin(data_dir, x), data_transforms[x])\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=37'>38</a>\u001b[0m \u001b[39mfor\u001b[39;49;00m x \u001b[39min\u001b[39;49;00m [\u001b[39m\"\u001b[39;49m\u001b[39mtrain\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mval\u001b[39;49m\u001b[39m\"\u001b[39;49m]\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=38'>39</a>\u001b[0m }\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=39'>40</a>\u001b[0m dataloaders \u001b[39m=\u001b[39m {\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=40'>41</a>\u001b[0m x: torch\u001b[39m.\u001b[39mutils\u001b[39m.\u001b[39mdata\u001b[39m.\u001b[39mDataLoader(\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=41'>42</a>\u001b[0m image_datasets[x], batch_size\u001b[39m=\u001b[39m\u001b[39m4\u001b[39m, shuffle\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, num_workers\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=42'>43</a>\u001b[0m )\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=43'>44</a>\u001b[0m \u001b[39mfor\u001b[39;00m x \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mtrain\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mval\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=44'>45</a>\u001b[0m }\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=45'>46</a>\u001b[0m dataset_sizes \u001b[39m=\u001b[39m {x: \u001b[39mlen\u001b[39m(image_datasets[x]) \u001b[39mfor\u001b[39;00m x \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mtrain\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mval\u001b[39m\u001b[39m\"\u001b[39m]}\n", - "\u001b[1;32mc:\\Users\\sophi\\OneDrive\\Documents\\ETUDES\\6-ECL\\3A\\MOD\\4_6\\mod_4_6-td2\\TD2 Deep Learning.ipynb Cell 48\u001b[0m line \u001b[0;36m3\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=33'>34</a>\u001b[0m data_dir \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mhymenoptera_data\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=34'>35</a>\u001b[0m \u001b[39m# Create train and validation datasets and loaders\u001b[39;00m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=35'>36</a>\u001b[0m image_datasets \u001b[39m=\u001b[39m {\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=36'>37</a>\u001b[0m x: datasets\u001b[39m.\u001b[39;49mImageFolder(os\u001b[39m.\u001b[39;49mpath\u001b[39m.\u001b[39;49mjoin(data_dir, x), data_transforms[x])\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=37'>38</a>\u001b[0m \u001b[39mfor\u001b[39;00m x \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mtrain\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mval\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=38'>39</a>\u001b[0m }\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=39'>40</a>\u001b[0m dataloaders \u001b[39m=\u001b[39m {\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=40'>41</a>\u001b[0m x: torch\u001b[39m.\u001b[39mutils\u001b[39m.\u001b[39mdata\u001b[39m.\u001b[39mDataLoader(\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=41'>42</a>\u001b[0m image_datasets[x], batch_size\u001b[39m=\u001b[39m\u001b[39m4\u001b[39m, shuffle\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, num_workers\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=42'>43</a>\u001b[0m )\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=43'>44</a>\u001b[0m \u001b[39mfor\u001b[39;00m x \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mtrain\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mval\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=44'>45</a>\u001b[0m }\n\u001b[0;32m <a href='vscode-notebook-cell:/c%3A/Users/sophi/OneDrive/Documents/ETUDES/6-ECL/3A/MOD/4_6/mod_4_6-td2/TD2%20Deep%20Learning.ipynb#X62sZmlsZQ%3D%3D?line=45'>46</a>\u001b[0m dataset_sizes \u001b[39m=\u001b[39m {x: \u001b[39mlen\u001b[39m(image_datasets[x]) \u001b[39mfor\u001b[39;00m x \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mtrain\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mval\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\\folder.py:309\u001b[0m, in \u001b[0;36mImageFolder.__init__\u001b[1;34m(self, root, transform, target_transform, loader, is_valid_file)\u001b[0m\n\u001b[0;32m 301\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__init__\u001b[39m(\n\u001b[0;32m 302\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[0;32m 303\u001b[0m root: \u001b[39mstr\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 307\u001b[0m is_valid_file: Optional[Callable[[\u001b[39mstr\u001b[39m], \u001b[39mbool\u001b[39m]] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 308\u001b[0m ):\n\u001b[1;32m--> 309\u001b[0m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49m\u001b[39m__init__\u001b[39;49m(\n\u001b[0;32m 310\u001b[0m root,\n\u001b[0;32m 311\u001b[0m loader,\n\u001b[0;32m 312\u001b[0m IMG_EXTENSIONS \u001b[39mif\u001b[39;49;00m is_valid_file \u001b[39mis\u001b[39;49;00m \u001b[39mNone\u001b[39;49;00m \u001b[39melse\u001b[39;49;00m \u001b[39mNone\u001b[39;49;00m,\n\u001b[0;32m 313\u001b[0m transform\u001b[39m=\u001b[39;49mtransform,\n\u001b[0;32m 314\u001b[0m target_transform\u001b[39m=\u001b[39;49mtarget_transform,\n\u001b[0;32m 315\u001b[0m is_valid_file\u001b[39m=\u001b[39;49mis_valid_file,\n\u001b[0;32m 316\u001b[0m )\n\u001b[0;32m 317\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mimgs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msamples\n", - "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\folder.py:144\u001b[0m, in \u001b[0;36mDatasetFolder.__init__\u001b[1;34m(self, root, loader, extensions, transform, target_transform, is_valid_file)\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__init__\u001b[39m(\n\u001b[0;32m 135\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[0;32m 136\u001b[0m root: \u001b[39mstr\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 141\u001b[0m is_valid_file: Optional[Callable[[\u001b[39mstr\u001b[39m], \u001b[39mbool\u001b[39m]] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 142\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 143\u001b[0m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39m\u001b[39m__init__\u001b[39m(root, transform\u001b[39m=\u001b[39mtransform, target_transform\u001b[39m=\u001b[39mtarget_transform)\n\u001b[1;32m--> 144\u001b[0m classes, class_to_idx \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfind_classes(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mroot)\n\u001b[0;32m 145\u001b[0m samples \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmake_dataset(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mroot, class_to_idx, extensions, is_valid_file)\n\u001b[0;32m 147\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloader \u001b[39m=\u001b[39m loader\n", - "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\folder.py:218\u001b[0m, in \u001b[0;36mDatasetFolder.find_classes\u001b[1;34m(self, directory)\u001b[0m\n\u001b[0;32m 191\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfind_classes\u001b[39m(\u001b[39mself\u001b[39m, directory: \u001b[39mstr\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tuple[List[\u001b[39mstr\u001b[39m], Dict[\u001b[39mstr\u001b[39m, \u001b[39mint\u001b[39m]]:\n\u001b[0;32m 192\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"Find the class folders in a dataset structured as follows::\u001b[39;00m\n\u001b[0;32m 193\u001b[0m \n\u001b[0;32m 194\u001b[0m \u001b[39m directory/\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 216\u001b[0m \u001b[39m (Tuple[List[str], Dict[str, int]]): List of all classes and dictionary mapping each class to an index.\u001b[39;00m\n\u001b[0;32m 217\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 218\u001b[0m \u001b[39mreturn\u001b[39;00m find_classes(directory)\n", - "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torchvision\\datasets\\folder.py:40\u001b[0m, in \u001b[0;36mfind_classes\u001b[1;34m(directory)\u001b[0m\n\u001b[0;32m 35\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfind_classes\u001b[39m(directory: \u001b[39mstr\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tuple[List[\u001b[39mstr\u001b[39m], Dict[\u001b[39mstr\u001b[39m, \u001b[39mint\u001b[39m]]:\n\u001b[0;32m 36\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"Finds the class folders in a dataset.\u001b[39;00m\n\u001b[0;32m 37\u001b[0m \n\u001b[0;32m 38\u001b[0m \u001b[39m See :class:`DatasetFolder` for details.\u001b[39;00m\n\u001b[0;32m 39\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 40\u001b[0m classes \u001b[39m=\u001b[39m \u001b[39msorted\u001b[39m(entry\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m entry \u001b[39min\u001b[39;00m os\u001b[39m.\u001b[39;49mscandir(directory) \u001b[39mif\u001b[39;00m entry\u001b[39m.\u001b[39mis_dir())\n\u001b[0;32m 41\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m classes:\n\u001b[0;32m 42\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mFileNotFoundError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mCouldn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt find any class folder in \u001b[39m\u001b[39m{\u001b[39;00mdirectory\u001b[39m}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] Le chemin d’accès spécifié est introuvable: 'hymenoptera_data\\\\train'" - ] + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ "import os\n", - "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import torch\n", @@ -1822,6 +1814,7 @@ "class_names = image_datasets[\"train\"].classes\n", "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", "\n", + "\n", "# Helper function for displaying images\n", "def imshow(inp, title=None):\n", " \"\"\"Imshow for Tensor.\"\"\"\n", @@ -1846,8 +1839,7 @@ "# Make a grid from batch\n", "out = torchvision.utils.make_grid(inputs)\n", "\n", - "imshow(out, title=[class_names[x] for x in classes])\n", - "\n" + "imshow(out, title=[class_names[x] for x in classes])" ] }, { @@ -1862,17 +1854,109 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "572d824c", "metadata": { "id": "572d824c" }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sophi\\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\\sophi\\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=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n", + " warnings.warn(msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "----------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\sophi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\torch\\optim\\lr_scheduler.py:136: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate\n", + " warnings.warn(\"Detected call of `lr_scheduler.step()` before `optimizer.step()`. \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "train Loss: 0.5545 Acc: 0.7090\n", + "val Loss: 0.2637 Acc: 0.9085\n", + "\n", + "Epoch 2/10\n", + "----------\n", + "train Loss: 0.5136 Acc: 0.7623\n", + "val Loss: 0.2343 Acc: 0.9150\n", + "\n", + "Epoch 3/10\n", + "----------\n", + "train Loss: 0.5148 Acc: 0.7828\n", + "val Loss: 0.3013 Acc: 0.8889\n", + "\n", + "Epoch 4/10\n", + "----------\n", + "train Loss: 0.4762 Acc: 0.7951\n", + "val Loss: 0.2759 Acc: 0.8954\n", + "\n", + "Epoch 5/10\n", + "----------\n", + "train Loss: 0.3721 Acc: 0.8525\n", + "val Loss: 0.2749 Acc: 0.8954\n", + "\n", + "Epoch 6/10\n", + "----------\n", + "train Loss: 0.4640 Acc: 0.8074\n", + "val Loss: 0.1939 Acc: 0.9608\n", + "\n", + "Epoch 7/10\n", + "----------\n", + "train Loss: 0.2695 Acc: 0.8893\n", + "val Loss: 0.1720 Acc: 0.9542\n", + "\n", + "Epoch 8/10\n", + "----------\n", + "train Loss: 0.3130 Acc: 0.8770\n", + "val Loss: 0.1921 Acc: 0.9412\n", + "\n", + "Epoch 9/10\n", + "----------\n", + "train Loss: 0.3839 Acc: 0.8197\n", + "val Loss: 0.1909 Acc: 0.9542\n", + "\n", + "Epoch 10/10\n", + "----------\n", + "train Loss: 0.3843 Acc: 0.8074\n", + "val Loss: 0.1935 Acc: 0.9542\n", + "\n", + "Training complete in 3m 29s\n", + "Best val Acc: 0.960784\n" + ] + } + ], "source": [ "import copy\n", "import os\n", "import time\n", - "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import torch\n", @@ -1899,9 +1983,9 @@ " ),\n", " \"val\": transforms.Compose(\n", " [\n", - " transforms.Resize(256),\n", - " transforms.CenterCrop(224),\n", - " transforms.ToTensor(),\n", + " transforms.Resize(256), # resize the image to 256x256\n", + " transforms.CenterCrop(224), # crop the image to 224x224 around the center\n", + " transforms.ToTensor(), # convert it to a PyTorch tensor\n", " transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n", " ]\n", " ),\n", @@ -1912,17 +1996,18 @@ "image_datasets = {\n", " x: datasets.ImageFolder(os.path.join(data_dir, x), data_transforms[x])\n", " for x in [\"train\", \"val\"]\n", - "}\n", + "} # create datasets\n", "dataloaders = {\n", " x: torch.utils.data.DataLoader(\n", " image_datasets[x], batch_size=4, shuffle=True, num_workers=4\n", " )\n", " for x in [\"train\", \"val\"]\n", - "}\n", - "dataset_sizes = {x: len(image_datasets[x]) for x in [\"train\", \"val\"]}\n", - "class_names = image_datasets[\"train\"].classes\n", + "} # create dataloaders\n", + "dataset_sizes = {x: len(image_datasets[x]) for x in [\"train\", \"val\"]} # get dataset sizes\n", + "class_names = image_datasets[\"train\"].classes # get class names\n", "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", "\n", + "\n", "# Helper function for displaying images\n", "def imshow(inp, title=None):\n", " \"\"\"Imshow for Tensor.\"\"\"\n", @@ -1942,15 +2027,15 @@ "\n", "\n", "# Get a batch of training data\n", - "# inputs, classes = next(iter(dataloaders['train']))\n", + "inputs, classes = next(iter(dataloaders['train']))\n", "\n", "# Make a grid from batch\n", - "# out = torchvision.utils.make_grid(inputs)\n", + "out = torchvision.utils.make_grid(inputs)\n", "\n", - "# imshow(out, title=[class_names[x] for x in classes])\n", - "# training\n", + "imshow(out, title=[class_names[x] for x in classes])\n", "\n", "\n", + "# training\n", "def train_model(model, criterion, optimizer, scheduler, num_epochs=25):\n", " since = time.time()\n", "\n", @@ -2043,10 +2128,10 @@ "\n", "# Observe that only the parameters of the final layer are being optimized\n", "optimizer_conv = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9)\n", - "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)\n", + "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1) # lr decay\n", "model, epoch_time = train_model(\n", " model, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n", - ")\n" + ")" ] }, { @@ -2067,6 +2152,265 @@ "Apply ther quantization (post and quantization aware) and evaluate impact on model size and accuracy." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Evaluation on a test set" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "import copy\n", + "import os\n", + "import time\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import torch\n", + "import torch.nn as nn\n", + "import torch.optim as optim\n", + "import torchvision\n", + "from torch.optim import lr_scheduler\n", + "from torchvision import datasets, transforms\n", + "import shutil" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We divide the input data in three sets: a training set, a validation set, and a test set." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hymenoptera_data\\all_images\\ants\n", + "hymenoptera_data\\all_images\\bees\n", + "hymenoptera_data\\all_images\\train\n", + "hymenoptera_data\\all_images\\val\n", + "hymenoptera_data\\all_images\\test\n", + "hymenoptera_data\\all_images\\train\\ants\n", + "hymenoptera_data\\all_images\\train\\bees\n", + "hymenoptera_data\\all_images\\val\\ants\n", + "hymenoptera_data\\all_images\\val\\bees\n", + "hymenoptera_data\\all_images\\test\\ants\n", + "hymenoptera_data\\all_images\\test\\bees\n", + "124\n", + "121\n" + ] + } + ], + "source": [ + "data_transforms = {\n", + " \"train\": transforms.Compose( # Data augmentation and normalization for training\n", + " [\n", + " transforms.RandomResizedCrop(\n", + " 224\n", + " ), # ImageNet models were trained on 224x224 images\n", + " transforms.RandomHorizontalFlip(), # flip horizontally 50% of the time - increases train set variability\n", + " transforms.ToTensor(), # convert it to a PyTorch tensor\n", + " transforms.Normalize(\n", + " [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]\n", + " ), # ImageNet models expect this norm\n", + " ]\n", + " ),\n", + " \"val\": transforms.Compose( # Just normalization for validation\n", + " [\n", + " transforms.Resize(256), # resize the image to 256x256\n", + " transforms.CenterCrop(224), # crop the image to 224x224 around the center\n", + " transforms.ToTensor(), # convert it to a PyTorch tensor\n", + " transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n", + " ]\n", + " ),\n", + " \"test\": transforms.Compose(\n", + " [\n", + " transforms.Resize(256), # resize the image to 256x256\n", + " transforms.CenterCrop(224), # crop the image to 224x224 around the center\n", + " transforms.ToTensor(), # convert it to a PyTorch tensor\n", + " transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n", + " ]\n", + " )\n", + "}\n", + "\n", + "data_dir = \"hymenoptera_data\"\n", + "lists = [\"train\", \"val\", \"test\"]\n", + "# Create a new directory called all_images\n", + "all_images_dir = os.path.join(data_dir, \"all_images\")\n", + "# Create two sub-directories in all_images called ants and bees\n", + "for x in [\"ants\", \"bees\"]:\n", + " os.makedirs(os.path.join(all_images_dir, x), exist_ok=True)\n", + " print(os.path.join(all_images_dir, x))\n", + "# Create three sub-directories in all_images called train, val and test\n", + "for x in lists:\n", + " os.makedirs(os.path.join(all_images_dir, x), exist_ok=True)\n", + " print(os.path.join(all_images_dir, x))\n", + "# For each folder, create sub-directories called ants and bees\n", + "for x in lists:\n", + " for y in [\"ants\", \"bees\"]:\n", + " os.makedirs(os.path.join(all_images_dir, x, y), exist_ok=True)\n", + " print(os.path.join(all_images_dir, x, y))\n", + "# Count the total number of ants in train and val folders\n", + "ants_train = len(os.listdir(os.path.join(data_dir, \"train\", \"ants\")))\n", + "ants_val = len(os.listdir(os.path.join(data_dir, \"val\", \"ants\")))\n", + "num_ants = ants_train + ants_val\n", + "# Count the total number of bees in train and val folders\n", + "bees_train = len(os.listdir(os.path.join(data_dir, \"train\", \"bees\")))\n", + "bees_val = len(os.listdir(os.path.join(data_dir, \"val\", \"bees\")))\n", + "num_bees = bees_train + bees_val\n", + "# Rename the images in the train and val folders with the following format: ant01.jpg, ant02.jpg, ..., bee01.jpg, bee02.jpg, ...\n", + "for x in [\"train\", \"val\"]:\n", + " for y in [\"ants\", \"bees\"]:\n", + " num = len(os.listdir(os.path.join(data_dir, x, y)))\n", + " for i in range(num):\n", + " src = os.path.join(data_dir, x, y, os.listdir(os.path.join(data_dir, x, y))[i])\n", + " dst = os.path.join(all_images_dir, y, y + str(i).zfill(2) + \".jpg\")\n", + " shutil.copyfile(src, dst)\n", + "# Copy 80% of the ants and from all_images to all_images/train/ants\n", + "for y in [\"ants\", \"bees\"]:\n", + " # Count the number of files like ants00.jpg, ants01.jpg, ... in all_images\n", + " num = len(os.listdir(os.path.join(all_images_dir, y)))\n", + " print(num)\n", + " for x in range(int(num * 0.8)):\n", + " src = os.path.join(all_images_dir, y, y + str(x).zfill(2) + \".jpg\")\n", + " dst = os.path.join(all_images_dir, \"train\", y, y + str(x).zfill(2) + \".jpg\")\n", + " shutil.copyfile(src, dst)\n", + " # Copy 10% of the ants and bees from all_images to all_images/val/ants and all_images/val/bees\n", + " for x in range(int(num * 0.8), int(num * 0.9)):\n", + " src = os.path.join(all_images_dir, y, y + str(x).zfill(2) + \".jpg\")\n", + " dst = os.path.join(all_images_dir, \"val\", y, y + str(x).zfill(2) + \".jpg\")\n", + " shutil.copyfile(src, dst)\n", + " # Copy 10% of the ants and bees from all_images to all_images/test/ants and all_images/test/bees\n", + " for x in range(int(num * 0.9), num):\n", + " src = os.path.join(all_images_dir, y, y + str(x).zfill(2) + \".jpg\")\n", + " dst = os.path.join(all_images_dir, \"test\", y, y + str(x).zfill(2) + \".jpg\")\n", + " shutil.copyfile(src, dst)\n", + "\n", + "# Create train, validation and test datasets and loaders\n", + "image_datasets = {\n", + " x: datasets.ImageFolder(os.path.join(all_images_dir, x), data_transforms[x])\n", + " for x in lists\n", + "}\n", + "dataloaders = {\n", + " x: torch.utils.data.DataLoader(\n", + " image_datasets[x], batch_size=4, shuffle=True, num_workers=4\n", + " )\n", + " for x in lists\n", + "}\n", + "dataset_sizes = {x: len(image_datasets[x]) for x in lists}\n", + "class_names = image_datasets[\"train\"].classes\n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create an eval_model function to allow the evaluation of the model on a test set (different from the learning and validation sets used during the learning phase)." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "def eval_model(model, criterion, data_loaders):\n", + " \"\"\"Evaluate the model on a test set which is different from the learning and validation sets used during the learning phase\n", + " Args:\n", + " model: PyTorch model\n", + " criterion: loss function\n", + " data_loaders: dictionary of data loaders\n", + " Returns:\n", + " model accuracy: float\n", + " \"\"\"\n", + " model.eval()\n", + " running_loss = 0.0\n", + " running_corrects = 0\n", + "\n", + " # Iterate over data.\n", + " for inputs, labels in data_loaders[\"test\"]:\n", + " inputs = inputs.to(device)\n", + " labels = labels.to(device)\n", + "\n", + " # Forward\n", + " # Track history if only in training phase\n", + " with torch.set_grad_enabled(False):\n", + " outputs = model(inputs)\n", + " _, preds = torch.max(outputs, 1)\n", + " loss = criterion(outputs, labels)\n", + "\n", + " # Statistics\n", + " running_loss += loss.item() * inputs.size(0)\n", + " running_corrects += torch.sum(preds == labels.data)\n", + "\n", + " test_loss = running_loss / dataset_sizes[\"test\"]\n", + " test_acc = running_corrects.double() / dataset_sizes[\"test\"]\n", + "\n", + " print(\"Test Loss: {:.4f} Acc: {:.4f}\".format(test_loss, test_acc))\n", + " return test_acc" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test Loss: 0.0381 Acc: 1.0000\n" + ] + }, + { + "data": { + "text/plain": [ + "tensor(1., dtype=torch.float64)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "criterion = nn.CrossEntropyLoss()\n", + "\n", + "eval_model(model, criterion, dataloaders)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Replacement of the current classification layer with a set of two layers using a \"relu\" activation function for the middle layer, and the \"dropout\" mechanism for both layers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "04a263f0",