diff --git a/TD2 Deep Learning.ipynb b/TD2 Deep Learning.ipynb index 80f3e2e9f745ac2698e143588fb78b13b33a7fbc..cd32251d2497ed8b145a474a0a94663bbad44a7f 100644 --- a/TD2 Deep Learning.ipynb +++ b/TD2 Deep Learning.ipynb @@ -95,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 15, "id": "6e18f2fd", "metadata": {}, "outputs": [ @@ -875,7 +875,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 12, "id": "ef623c26", "metadata": {}, "outputs": [], @@ -1667,10 +1667,19 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "20e31c0a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "# Import all necessary libraries for this section\n", "import copy\n", @@ -1684,7 +1693,8 @@ "import torch.optim as optim\n", "import torchvision\n", "from torch.optim import lr_scheduler\n", - "from torchvision import datasets, transforms" + "from torchvision import datasets, transforms\n", + "from torchvision import models" ] }, { @@ -1750,13 +1760,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 7, "id": "be2d31f5", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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"text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -1960,7 +1970,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 8, "id": "6b24abd4", "metadata": {}, "outputs": [], @@ -2027,7 +2037,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 9, "id": "ed5e580e", "metadata": {}, "outputs": [], @@ -2112,14 +2122,14 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, "id": "c17f897f", "metadata": {}, "outputs": [], "source": [ "# Create function to instanciate the 1st fine tuned ResNet18 model\n", "def instantiate_model1():\n", - " model1 = torchvision.models.resnet18(pretrained=True)\n", + " model1 = models.quantization.resnet18() # Instanciate a quantizable ResNet18 model\n", " for param in model1.parameters():\n", " param.requires_grad = False\n", "\n", @@ -2131,24 +2141,97 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "id": "9e154207", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "----------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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: 0.8218 Acc: 0.5459\n", + "val Loss: 0.6752 Acc: 0.5285\n", + "\n", + "Epoch 2/10\n", + "----------\n", + "train Loss: 0.7212 Acc: 0.5714\n", + "val Loss: 0.6313 Acc: 0.6992\n", + "\n", + "Epoch 3/10\n", + "----------\n", + "train Loss: 0.7842 Acc: 0.5408\n", + "val Loss: 0.6299 Acc: 0.6341\n", + "\n", + "Epoch 4/10\n", + "----------\n", + "train Loss: 0.7188 Acc: 0.5561\n", + "val Loss: 0.9087 Acc: 0.5447\n", + "\n", + "Epoch 5/10\n", + "----------\n", + "train Loss: 0.7167 Acc: 0.5765\n", + "val Loss: 0.7315 Acc: 0.5528\n", + "\n", + "Epoch 6/10\n", + "----------\n", + "train Loss: 0.7275 Acc: 0.5408\n", + "val Loss: 0.6152 Acc: 0.6748\n", + "\n", + "Epoch 7/10\n", + "----------\n", + "train Loss: 0.6435 Acc: 0.6429\n", + "val Loss: 0.6141 Acc: 0.6748\n", + "\n", + "Epoch 8/10\n", + "----------\n", + "train Loss: 0.6382 Acc: 0.6276\n", + "val Loss: 0.6076 Acc: 0.6911\n", + "\n", + "Epoch 9/10\n", + "----------\n", + "train Loss: 0.6524 Acc: 0.6020\n", + "val Loss: 0.6230 Acc: 0.6423\n", + "\n", + "Epoch 10/10\n", + "----------\n", + "train Loss: 0.6679 Acc: 0.6020\n", + "val Loss: 0.6146 Acc: 0.6504\n", + "\n", + "Training complete in 4m 12s\n", + "Best val Acc: 0.699187\n" + ] + } + ], "source": [ "# ------------- Train model1 phase -------------\n", "\n", "# Instantiate model1\n", "model1 = instantiate_model1()\n", "# Send the model to the GPU\n", - "model = model.to(device)\n", + "model1 = model1.to(device)\n", "\n", "criterion = nn.CrossEntropyLoss() # Binary Cross Entropy Loss\n", - "optimizer_conv = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9) # Only parameters of final layer are being optimized\n", + "optimizer_conv = optim.SGD(model1.fc.parameters(), lr=0.001, momentum=0.9) # Only parameters of final layer are being optimized\n", "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1) # Decay LR by a factor of 0.1 every 7 epochs\n", "\n", "model1, epoch_time = train_model(\n", - " model1, criterion, optimizer_conv, exp_lr_scheduler, classes, num_epochs=10\n", + " model1, dataloaders, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n", ")\n", "\n", "torch.save(model1.state_dict(), 'model1.pt')" @@ -2156,28 +2239,18 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 30, "id": "cf8d3f16", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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": [ - "Test Accuracy of ants: 92% (35/38)\n", - "Test Accuracy of bees: 97% (39/40)\n", + "Test Accuracy of ants: 44% (17/38)\n", + "Test Accuracy of bees: 95% (38/40)\n", "\n", - "Test Accuracy (Overall): 94% (74/78)\n" + "Test Accuracy (Overall): 70% (55/78)\n" ] } ], @@ -2191,6 +2264,14 @@ "eval_model(model1, test_loader, classes)" ] }, + { + "cell_type": "markdown", + "id": "cd1aeb52", + "metadata": {}, + "source": [ + "During training, the highest accuracy achieved on the validation set was 0.699. Similarly, during inference on the test set, we obtained an accuracy of 70%. Note that the detection accuracy for the bee class is higher than for ants. However, the recall metric for both categories is needed to better assess the quality of the fine-tuned classifier." + ] + }, { "cell_type": "markdown", "id": "64a7f5a6", @@ -2199,9 +2280,26 @@ "#### 5.2 Post Training Quantized Model1" ] }, + { + "cell_type": "markdown", + "id": "0f414aa1", + "metadata": {}, + "source": [ + "I initially tried to apply dynamic QPT (static quantization of weights and dynamic quantization of activations). The compression rate was nearly zero. Specifically, except for the last fine-tuned layer, the network layers were not quantized (weights remained in float32 after quantization).\n", + "\n", + "\n", + "Actually, certain layers in a model like ResNet need adjustments to support quantization. That is why We will use *torchvision model builder* which makes these necessary modifications automatically (use of **models.quantization.resnet18()**).\n", + "\n", + "Next, we will perform a static PTQ (statically quantized weights and activations) on the instantiated quantizable model. Generally, the flow for static PTQ is:\n", + "\n", + "- Prepare: Insert observer/fake quantization modules\n", + "- Calibrate: Allow observers to collect statistics or enable fake quantization modules to learn quantization parameters\n", + "- Convert: Transform the calibrated model into a quantized model" + ] + }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 31, "id": "71cbf48e", "metadata": {}, "outputs": [ @@ -2209,21 +2307,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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" + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\ao\\quantization\\observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch.\n", + " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "model: fp32 \t Size (KB): 44780.42\n", - "model: int8 \t Size (KB): 44778.17\n", - "Size of PTQ model1 : 99.99 % of the original model1 size\n", - "Test Accuracy difference of ants between model and its quantized version: 0 instance(s) (0.00%)\n", - "Test Accuracy difference of bees between model and its quantized version: 0 instance(s) (0.00%)\n", + "model: fp32 \t Size (KB): 44781.316\n", + "model: int8 \t Size (KB): 11392.19\n", + "Size of PTQ model1 : 25.44 % of the original model1 size\n", + "Test Accuracy difference of ants between model and its quantized version: -2 instance(s) (-11.76%)\n", + "Test Accuracy difference of bees between model and its quantized version: 2 instance(s) (5.26%)\n", "\n", "Test Accuracy (Overall) difference between model and its quantized version: 0 instance(s) (0.00%)\n" ] @@ -2233,9 +2329,19 @@ "# ------------- Quantize model1 (PTQ) & compare accuracy -------------\n", "\n", "# Instantiate model1\n", - "model1 = instantiate_model1()\n", - "model1.load_state_dict(torch.load('model1.pt'))\n", - "post_training_quantized_model1 = torch.quantization.quantize_dynamic(model1, dtype=torch.qint8)\n", + "post_training_quantized_model1 = instantiate_model1()\n", + "post_training_quantized_model1.load_state_dict(torch.load('model1.pt'))\n", + "\n", + "# Prepare\n", + "post_training_quantized_model1.qconfig = torch.quantization.get_default_qconfig('fbgemm')\n", + "post_training_quantized_model1 = torch.quantization.prepare(post_training_quantized_model1)\n", + "\n", + "# Calibration\n", + "with torch.no_grad():\n", + " post_training_quantized_model1(torch.randn(1,3,224,224))\n", + "\n", + "# Convert\n", + "post_training_quantized_model1 = torch.quantization.convert(post_training_quantized_model1,inplace=True)\n", "\n", "# Evaluation compression rate\n", "model1_size = print_size_of_model(model1, \"fp32\")\n", @@ -2246,6 +2352,16 @@ "compare_evaluation_model(model1, post_training_quantized_model1, classes, test_loader)" ] }, + { + "cell_type": "markdown", + "id": "f9e7c117", + "metadata": {}, + "source": [ + "We observe a very interesting compression rate (the model size is reduced by a factor of 4).\n", + "\n", + "There is a loss of precision on the ants class (which was already not very precise) and a slight improvement on the bees class (which was already very precise). Overall, these effects balance each other out, and there is no loss of overall accuracy." + ] + }, { "cell_type": "markdown", "id": "1ea4be31", @@ -2256,7 +2372,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "id": "fe4b2a01", "metadata": {}, "outputs": [], @@ -2265,37 +2381,101 @@ "def instantiate_qat_model1():\n", "\n", " # Download a pre-trained ResNet18 model and freeze its weights\n", - " qat_model1 = torchvision.models.resnet18(pretrained=True)\n", + " qat_model1 = models.quantization.resnet18() # Instanciate a quantizable ResNet18 model\n", " for param in qat_model1.parameters():\n", " param.requires_grad = False\n", " \n", " num_ftrs = qat_model1.fc.in_features\n", - " qat_model1.fc = nn.Sequential(\n", - " torch.quantization.QuantStub(), \n", - " nn.Linear(num_ftrs, 2), \n", - " torch.quantization.DeQuantStub() \n", - " )\n", + " qat_model1.fc = nn.Sequential(nn.Linear(num_ftrs, 2))\n", "\n", - " # Only apply QAT to the last layer\n", - " qat_model1.fc.qconfig = torch.quantization.get_default_qat_qconfig('x86') # recommended in pytorch documentation\n", - " torch.quantization.prepare_qat(qat_model1.fc, inplace=True) # add fake quantization modules to simulate quantization during training\n", + " qat_model1.qconfig = torch.quantization.get_default_qconfig('fbgemm')\n", + " qat_model1 = torch.quantization.prepare(qat_model1)\n", "\n", " return qat_model1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, "id": "cdd21828", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\ao\\quantization\\observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch.\n", + " warnings.warn(\n", + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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": [ + "Epoch 1/10\n", + "----------\n", + "train Loss: 0.8089 Acc: 0.5306\n", + "val Loss: 0.9356 Acc: 0.4553\n", + "\n", + "Epoch 2/10\n", + "----------\n", + "train Loss: 0.7107 Acc: 0.5561\n", + "val Loss: 0.7449 Acc: 0.5447\n", + "\n", + "Epoch 3/10\n", + "----------\n", + "train Loss: 0.7436 Acc: 0.5867\n", + "val Loss: 0.6350 Acc: 0.6179\n", + "\n", + "Epoch 4/10\n", + "----------\n", + "train Loss: 0.7437 Acc: 0.5051\n", + "val Loss: 0.6286 Acc: 0.6341\n", + "\n", + "Epoch 5/10\n", + "----------\n", + "train Loss: 0.7613 Acc: 0.4949\n", + "val Loss: 0.6396 Acc: 0.6423\n", + "\n", + "Epoch 6/10\n", + "----------\n", + "train Loss: 0.7521 Acc: 0.5663\n", + "val Loss: 0.8170 Acc: 0.5203\n", + "\n", + "Epoch 7/10\n", + "----------\n", + "train Loss: 0.6888 Acc: 0.5561\n", + "val Loss: 0.6184 Acc: 0.6341\n", + "\n", + "Epoch 8/10\n", + "----------\n", + "train Loss: 0.6523 Acc: 0.6020\n", + "val Loss: 0.6071 Acc: 0.6504\n", + "\n", + "Epoch 9/10\n", + "----------\n", + "train Loss: 0.6606 Acc: 0.6020\n", + "val Loss: 0.6545 Acc: 0.5691\n", + "\n", + "Epoch 10/10\n", + "----------\n", + "train Loss: 0.6467 Acc: 0.6224\n", + "val Loss: 0.6194 Acc: 0.6260\n", + "\n", + "Training complete in 5m 59s\n", + "Best val Acc: 0.650407\n" + ] + } + ], "source": [ "# ------------- Train qat_model1 phase -------------\n", "\n", "# Instantiate qat_model1\n", "qat_model1 = instantiate_qat_model1()\n", "# Send the model to the GPU\n", - "qat_model = qat_model.to(device)\n", + "qat_model1 = qat_model1.to(device)\n", "\n", "criterion = nn.CrossEntropyLoss() # Binary Cross Entropy Loss\n", "optimizer_conv = optim.SGD(qat_model1.fc.parameters(), lr=0.001, momentum=0.9) # Only parameters of final layer are being optimized\n", @@ -2303,7 +2483,7 @@ "\n", "# Let's train the model!\n", "qat_model1, epoch_time = train_model(\n", - " qat_model1, criterion, optimizer_conv, exp_lr_scheduler, classes, num_epochs=10\n", + " qat_model1, dataloaders, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n", ")\n", "\n", "torch.save(qat_model1.state_dict(), 'qat_model1.pt')" @@ -2311,7 +2491,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 80, "id": "078d9bbb", "metadata": {}, "outputs": [ @@ -2319,10 +2499,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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", "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\ao\\quantization\\observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch.\n", " warnings.warn(\n" ] @@ -2331,13 +2507,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "model: fp32 \t Size (KB): 44780.42\n", - "model: int8 \t Size (KB): 44779.366\n", - "Size of qat_model1 after quantization: 100.0 % of the original model1 size\n", - "Test Accuracy difference of ants between model and its quantized version: -2 instance(s) (-5.71%)\n", - "Test Accuracy difference of bees between model and its quantized version: 1 instance(s) (2.56%)\n", + "model: fp32 \t Size (KB): 44781.316\n", + "model: int8 \t Size (KB): 11392.19\n", + "Size of qat_model1 after quantization: 25.44 % of the original model1 size\n", + "Test Accuracy difference of ants between model and its quantized version: -8 instance(s) (-47.06%)\n", + "Test Accuracy difference of bees between model and its quantized version: 14 instance(s) (36.84%)\n", "\n", - "Test Accuracy (Overall) difference between model and its quantized version: -1 instance(s) (-1.35%)\n" + "Test Accuracy (Overall) difference between model and its quantized version: 6 instance(s) (10.91%)\n" ] } ], @@ -2360,6 +2536,20 @@ "compare_evaluation_model(model1, qat_model1, classes, test_loader)" ] }, + { + "cell_type": "markdown", + "id": "8e418a7d", + "metadata": {}, + "source": [ + "The quantized QAT model has a size reduced to 25% of the non-quantized model. During training, the accuracy of the validation set reaches 0.65 (which is lower than that of the non-quantized model, which was 0.69).\n", + "\n", + "It performs better at classifying instances of the \"ants\" class (8 more instances correctly classified) and worse at classifying instances of the \"bees\" class (14 fewer instances correctly classified).\n", + "\n", + "There is a loss of overall accuracy of about 11%. We therefore favor the static PTQ.\n", + "\n", + "**Note**: It may be possible that by increasing the number of epochs, the QAT model could achieve better accuracy on the validation set than the non-quantized model (due to inertia from having to also learn with fake quantization modules)." + ] + }, { "cell_type": "markdown", "id": "32c13c41", @@ -2378,14 +2568,14 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 69, "id": "998ff2dd", "metadata": {}, "outputs": [], "source": [ "# Create function to instanciate the 2nd fine tuned ResNet18 model\n", "def instantiate_model2():\n", - " model2 = torchvision.models.resnet18(pretrained=True)\n", + " model2 = models.quantization.resnet18() # Instanciate a quantizable ResNet18 model\n", " for param in model2.parameters():\n", " param.requires_grad = False\n", "\n", @@ -2403,10 +2593,83 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "id": "a37aebc1", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "----------\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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: 0.7838 Acc: 0.4643\n", + "val Loss: 0.7034 Acc: 0.4553\n", + "\n", + "Epoch 2/10\n", + "----------\n", + "train Loss: 0.9344 Acc: 0.4949\n", + "val Loss: 0.6741 Acc: 0.5854\n", + "\n", + "Epoch 3/10\n", + "----------\n", + "train Loss: 0.7418 Acc: 0.4490\n", + "val Loss: 0.6752 Acc: 0.5528\n", + "\n", + "Epoch 4/10\n", + "----------\n", + "train Loss: 0.7191 Acc: 0.5051\n", + "val Loss: 0.7008 Acc: 0.4472\n", + "\n", + "Epoch 5/10\n", + "----------\n", + "train Loss: 0.7251 Acc: 0.4949\n", + "val Loss: 0.6724 Acc: 0.6016\n", + "\n", + "Epoch 6/10\n", + "----------\n", + "train Loss: 0.7213 Acc: 0.4898\n", + "val Loss: 0.6825 Acc: 0.5041\n", + "\n", + "Epoch 7/10\n", + "----------\n", + "train Loss: 0.6918 Acc: 0.5306\n", + "val Loss: 0.6867 Acc: 0.5528\n", + "\n", + "Epoch 8/10\n", + "----------\n", + "train Loss: 0.7032 Acc: 0.5000\n", + "val Loss: 0.6817 Acc: 0.5447\n", + "\n", + "Epoch 9/10\n", + "----------\n", + "train Loss: 0.6853 Acc: 0.5051\n", + "val Loss: 0.6817 Acc: 0.5122\n", + "\n", + "Epoch 10/10\n", + "----------\n", + "train Loss: 0.6810 Acc: 0.5765\n", + "val Loss: 0.6801 Acc: 0.5772\n", + "\n", + "Training complete in 3m 57s\n", + "Best val Acc: 0.601626\n" + ] + } + ], "source": [ "# ------------- Train model2 phase -------------\n", "\n", @@ -2415,7 +2678,7 @@ "# Send the model to the CPU (for my case)\n", "model2 = model2.to(device)\n", "criterion = nn.CrossEntropyLoss() # Binary Cross Entropy Loss (2 classes only)\n", - "optimizer_conv = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9) # Only the parameters of the final layer are being optimized\n", + "optimizer_conv = optim.SGD(model2.fc.parameters(), lr=0.001, momentum=0.9) # Only the parameters of the final layer are being optimized\n", "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1) # Decay LR by a factor of 0.1 every 7 epochs\n", "\n", "# Let's train the model!\n", @@ -2428,7 +2691,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 48, "id": "81f265ea", "metadata": {}, "outputs": [ @@ -2436,10 +2699,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test Accuracy of ants: 86% (33/38)\n", - "Test Accuracy of bees: 97% (39/40)\n", + "Test Accuracy of ants: 31% (12/38)\n", + "Test Accuracy of bees: 90% (36/40)\n", "\n", - "Test Accuracy (Overall): 92% (72/78)\n" + "Test Accuracy (Overall): 61% (48/78)\n" ] } ], @@ -2453,6 +2716,14 @@ "eval_model(model2, test_loader, classes)" ] }, + { + "cell_type": "markdown", + "id": "ce7a0af2", + "metadata": {}, + "source": [ + "During training, the highest accuracy achieved on the validation set was 0.602. Similarly, during inference on the test set, we obtained an accuracy of 61%. Note that the detection accuracy for the bee class, likewise model1, is higher than for ants. However, the recall metric for both categories is needed to better assess the quality of the fine-tuned classifier." + ] + }, { "cell_type": "markdown", "id": "8573d8be", @@ -2463,30 +2734,48 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 36, "id": "f54f9301", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\ao\\quantization\\observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch.\n", + " warnings.warn(\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "model: fp32 \t Size (KB): 45831.61\n", - "model: int8 \t Size (KB): 45043.622\n", - "Size of PTQ model2: 98.28 % of the no quantized model2 size\n", - "Test Accuracy difference of ants between model and its quantized version: 0 instance(s) (0.00%)\n", - "Test Accuracy difference of bees between model and its quantized version: 0 instance(s) (0.00%)\n", + "model: fp32 \t Size (KB): 45832.57\n", + "model: int8 \t Size (KB): 11666.208\n", + "Size of PTQ model2: 25.45 % of the no quantized model2 size\n", + "Test Accuracy difference of ants between model and its quantized version: -1 instance(s) (-8.33%)\n", + "Test Accuracy difference of bees between model and its quantized version: -1 instance(s) (-2.78%)\n", "\n", - "Test Accuracy (Overall) difference between model and its quantized version: 0 instance(s) (0.00%)\n" + "Test Accuracy (Overall) difference between model and its quantized version: -2 instance(s) (-4.17%)\n" ] } ], "source": [ "# ------------- Quantize model2 (PTQ) & compare accuracy -------------\n", + "# Instantiate model2\n", "post_training_quantized_model2 = instantiate_model2()\n", "post_training_quantized_model2.load_state_dict(torch.load('model2.pt'))\n", "\n", - "post_training_quantized_model2 = torch.quantization.quantize_dynamic(post_training_quantized_model2, dtype=torch.qint8)\n", + "# Prepare\n", + "post_training_quantized_model2.qconfig = torch.quantization.get_default_qconfig('fbgemm')\n", + "post_training_quantized_model2 = torch.quantization.prepare(post_training_quantized_model2)\n", + "\n", + "# Calibration\n", + "with torch.no_grad():\n", + " post_training_quantized_model2(torch.randn(1,3,224,224))\n", + "\n", + "# Convert\n", + "post_training_quantized_model2 = torch.quantization.convert(post_training_quantized_model2,inplace=True)\n", "\n", "# Estimate the percentage of compression\n", "model2_size = print_size_of_model(model2, \"fp32\")\n", @@ -2497,6 +2786,16 @@ "compare_evaluation_model(model2, post_training_quantized_model2, classes, test_loader)" ] }, + { + "cell_type": "markdown", + "id": "e0ca5495", + "metadata": {}, + "source": [ + "As well as for model1, we observe a very interesting compression rate (the model size is reduced by a factor of 4).\n", + "\n", + "There is a slight loss of precision on the ants class (which was already not very precise) and on the bees class (which was pretty precise). Overall, these effects lead to an overall accuracy of 4.2%" + ] + }, { "cell_type": "markdown", "id": "db729e87", @@ -2507,7 +2806,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 88, "id": "c4553729", "metadata": {}, "outputs": [], @@ -2516,34 +2815,101 @@ "def instantiate_qat_model2():\n", "\n", " # Download a pre-trained ResNet18 model and freeze its weights\n", - " qat_model2 = torchvision.models.resnet18(pretrained=True)\n", + " qat_model2 = models.quantization.resnet18() # Instanciate a quantizable ResNet18 model\n", " for param in qat_model2.parameters():\n", " param.requires_grad = False\n", " \n", " num_ftrs = qat_model2.fc.in_features\n", - " qat_model2.fc = nn.Sequential(\n", - " torch.quantization.QuantStub(), \n", + " qat_model2.fc = nn.Sequential( \n", " nn.Linear(num_ftrs, 512), \n", " nn.ReLU(), \n", " nn.Dropout(p=0.5), \n", " nn.Linear(512, 2), \n", " nn.Dropout(p=0.5), \n", - " torch.quantization.DeQuantStub() \n", " )\n", "\n", - " # Only apply QAT to the last layer\n", - " qat_model2.fc.qconfig = torch.quantization.get_default_qat_qconfig('x86') # recommended in pytorch documentation\n", - " torch.quantization.prepare_qat(qat_model2.fc, inplace=True) # add fake quantization modules to simulate quantization during training\n", - "\n", + " # Only for training step\n", + " qat_model2.qconfig = torch.quantization.get_default_qconfig('fbgemm')\n", + " qat_model2 = torch.quantization.prepare(qat_model2)\n", + " \n", " return qat_model2" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 89, "id": "d8a59604", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\ao\\quantization\\observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch.\n", + " warnings.warn(\n", + "c:\\Users\\Danie\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\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": [ + "Epoch 1/10\n", + "----------\n", + "train Loss: 0.7325 Acc: 0.5408\n", + "val Loss: 0.7184 Acc: 0.5447\n", + "\n", + "Epoch 2/10\n", + "----------\n", + "train Loss: 0.7446 Acc: 0.5408\n", + "val Loss: 0.6764 Acc: 0.5447\n", + "\n", + "Epoch 3/10\n", + "----------\n", + "train Loss: 0.7614 Acc: 0.5306\n", + "val Loss: 0.6663 Acc: 0.5528\n", + "\n", + "Epoch 4/10\n", + "----------\n", + "train Loss: 0.7674 Acc: 0.5000\n", + "val Loss: 0.6710 Acc: 0.6179\n", + "\n", + "Epoch 5/10\n", + "----------\n", + "train Loss: 0.6988 Acc: 0.5765\n", + "val Loss: 0.6909 Acc: 0.4878\n", + "\n", + "Epoch 6/10\n", + "----------\n", + "train Loss: 0.7298 Acc: 0.5612\n", + "val Loss: 0.6775 Acc: 0.6341\n", + "\n", + "Epoch 7/10\n", + "----------\n", + "train Loss: 0.6930 Acc: 0.5051\n", + "val Loss: 0.6852 Acc: 0.5528\n", + "\n", + "Epoch 8/10\n", + "----------\n", + "train Loss: 0.7140 Acc: 0.5000\n", + "val Loss: 0.6790 Acc: 0.6016\n", + "\n", + "Epoch 9/10\n", + "----------\n", + "train Loss: 0.6987 Acc: 0.4847\n", + "val Loss: 0.6864 Acc: 0.5041\n", + "\n", + "Epoch 10/10\n", + "----------\n", + "train Loss: 0.6850 Acc: 0.5408\n", + "val Loss: 0.6766 Acc: 0.6341\n", + "\n", + "Training complete in 5m 55s\n", + "Best val Acc: 0.634146\n" + ] + } + ], "source": [ "# ------------- Train qat_model2 phase -------------\n", "\n", @@ -2558,7 +2924,7 @@ "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1) # Decay LR by a factor of 0.1 every 7 epochs\n", "\n", "qat_model2, epoch_time = train_model(\n", - " qat_model2, criterion, optimizer_conv, exp_lr_scheduler, classes, num_epochs=10\n", + " qat_model2, dataloaders, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n", ")\n", "\n", "torch.save(qat_model2.state_dict(), 'qat_model2.pt')" @@ -2566,7 +2932,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 90, "id": "1cf47022", "metadata": {}, "outputs": [ @@ -2574,13 +2940,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "model: fp32 \t Size (KB): 45831.61\n", - "model: int8 \t Size (KB): 45053.384\n", - "Size of qat_model2 after quantization: 98.3 % of the original model2 size\n", - "Test Accuracy difference of ants between model and its quantized version: -3 instance(s) (-9.09%)\n", - "Test Accuracy difference of bees between model and its quantized version: 0 instance(s) (0.00%)\n", + "model: fp32 \t Size (KB): 45832.57\n", + "model: int8 \t Size (KB): 11666.208\n", + "Size of qat_model2 after quantization: 25.45 % of the original model2 size\n", + "Test Accuracy difference of ants between model and its quantized version: -8 instance(s) (-66.67%)\n", + "Test Accuracy difference of bees between model and its quantized version: -1 instance(s) (-2.78%)\n", "\n", - "Test Accuracy (Overall) difference between model and its quantized version: -3 instance(s) (-4.17%)\n" + "Test Accuracy (Overall) difference between model and its quantized version: -9 instance(s) (-18.75%)\n" ] } ], @@ -2600,6 +2966,37 @@ "compare_evaluation_model(model2, qat_model2, classes, test_loader)" ] }, + { + "cell_type": "code", + "execution_count": 91, + "id": "0970ae6a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test Accuracy of ants: 52% (20/38)\n", + "Test Accuracy of bees: 92% (37/40)\n", + "\n", + "Test Accuracy (Overall): 73% (57/78)\n" + ] + } + ], + "source": [ + "eval_model(qat_model2, test_loader, classes)" + ] + }, + { + "cell_type": "markdown", + "id": "c59ef8bd", + "metadata": {}, + "source": [ + "Unlike the first fine-tuning of ResNet, the second fine-tuning is much more effective in terms of accuracy when transitioning from the non-quantized model to the quantized QAT model. There is an accuracy gain of 18% compared to the non-quantized model 2!\n", + "\n", + "It even outperforms the non-quantized model 1. It is possible that the architecture of the last layer allowed for a more effective QAT. Therefore, we will retain this final model, which is compressed (25%) and exhibits the best accuracy." + ] + }, { "cell_type": "markdown", "id": "bbd48800", @@ -2616,17 +3013,6 @@ "Apply ther quantization (post and quantization aware) and evaluate impact on model size and accuracy." ] }, - { - "cell_type": "markdown", - "id": "fb3bc8cb", - "metadata": {}, - "source": [ - "**Commentaires**\n", - "\n", - "\n", - "This code allows you to download the pre-trained ResNet18 network and freeze its weights. It then replaces the final layer of the model with a fully connected layer for binary classification (between ants and bees). The parameters of this final layer can be modified, allowing for fine-tuning on the Hymenoptera dataset. Before fine-tuning, the final layer has model.fc.in_features input neurons and 1000 output neurons (for all ImageNet classes). Here, we modify it to have only 2 output neurons (specifically for the 2 classes to be discriminated)." - ] - }, { "cell_type": "markdown", "id": "04a263f0",