{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deep Learning Models -- A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.\n",
    "- Author: Sebastian Raschka\n",
    "- GitHub Repository: https://github.com/rasbt/deeplearning-models\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Author: Sebastian Raschka\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.8.8\n",
      "IPython version      : 7.21.0\n",
      "\n",
      "torch: 1.8.1+cu111\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a 'Sebastian Raschka' -v -p torch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MobileNet-v3 (small) trained on Cifar-10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, \"..\") # to include ../helper_evaluate.py etc.\n",
    "\n",
    "# From local helper files\n",
    "from helper_utils import set_all_seeds, set_deterministic\n",
    "from helper_evaluate import compute_confusion_matrix, compute_accuracy\n",
    "from helper_train import train_classifier_simple_v2\n",
    "from helper_plotting import plot_training_loss, plot_accuracy, show_examples, plot_confusion_matrix\n",
    "from helper_data import get_dataloaders_cifar10, UnNormalize"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Settings and Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "##########################\n",
    "### SETTINGS\n",
    "##########################\n",
    "\n",
    "RANDOM_SEED = 123\n",
    "BATCH_SIZE = 128\n",
    "NUM_EPOCHS = 150\n",
    "DEVICE = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "set_all_seeds(RANDOM_SEED)\n",
    "#set_deterministic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Image batch dimensions: torch.Size([128, 3, 64, 64])\n",
      "Image label dimensions: torch.Size([128])\n",
      "Class labels of 10 examples: tensor([4, 7, 4, 6, 2, 6, 9, 7, 3, 0])\n"
     ]
    }
   ],
   "source": [
    "##########################\n",
    "### CIFAR-10 DATASET\n",
    "##########################\n",
    "\n",
    "### Note: Network trains about 2-3x faster if you don't\n",
    "# resize (keeping the orig. 32x32 res.)\n",
    "# Test acc. I got via the 32x32 was lower though; ~77%\n",
    "\n",
    "train_transforms = torchvision.transforms.Compose([\n",
    "    torchvision.transforms.Resize((70, 70)),\n",
    "    torchvision.transforms.RandomCrop((64, 64)),\n",
    "    torchvision.transforms.ToTensor(),\n",
    "    torchvision.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
    "\n",
    "test_transforms = torchvision.transforms.Compose([\n",
    "    torchvision.transforms.Resize((70, 70)),        \n",
    "    torchvision.transforms.CenterCrop((64, 64)),            \n",
    "    torchvision.transforms.ToTensor(),                \n",
    "    torchvision.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
    "\n",
    "\n",
    "train_loader, valid_loader, test_loader = get_dataloaders_cifar10(\n",
    "    batch_size=BATCH_SIZE,\n",
    "    validation_fraction=0.1,\n",
    "    train_transforms=train_transforms,\n",
    "    test_transforms=test_transforms,\n",
    "    num_workers=2)\n",
    "\n",
    "# Checking the dataset\n",
    "for images, labels in train_loader:  \n",
    "    print('Image batch dimensions:', images.shape)\n",
    "    print('Image label dimensions:', labels.shape)\n",
    "    print('Class labels of 10 examples:', labels[:10])\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7feac55dd520>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.axis(\"off\")\n",
    "plt.title(\"Training Images\")\n",
    "plt.imshow(np.transpose(torchvision.utils.make_grid(images[:64], \n",
    "                                         padding=2, normalize=True),\n",
    "                        (1, 2, 0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using cache found in /home/raschka/.cache/torch/hub/pytorch_vision_v0.9.0\n"
     ]
    }
   ],
   "source": [
    "##########################\n",
    "### MODEL\n",
    "##########################\n",
    "\n",
    "\n",
    "model = torch.hub.load('pytorch/vision:v0.9.0', 'mobilenet_v3_small',\n",
    "                       pretrained=False)\n",
    "\n",
    "model.classifier[-1] = torch.nn.Linear(in_features=1024, # as in original\n",
    "                                       out_features=10) # number of class labels in Cifar-10)\n",
    "\n",
    "model = model.to(DEVICE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using cache found in /home/raschka/.cache/torch/hub/pytorch_vision_v0.9.0\n"
     ]
    }
   ],
   "source": [
    "##########################\n",
    "### MODEL\n",
    "##########################\n",
    "\n",
    "\n",
    "model = torch.hub.load('pytorch/vision:v0.9.0', 'mobilenet_v2',\n",
    "                       pretrained=False)\n",
    "\n",
    "model.classifier[-1] = torch.nn.Linear(in_features=1280, # as in original\n",
    "                                       out_features=10) # number of class labels in Cifar-10)\n",
    "\n",
    "model = model.to(DEVICE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 001/150 | Batch 0000/0351 | Loss: 2.3692\n",
      "Epoch: 001/150 | Batch 0100/0351 | Loss: 1.7399\n",
      "Epoch: 001/150 | Batch 0200/0351 | Loss: 1.7337\n",
      "Epoch: 001/150 | Batch 0300/0351 | Loss: 1.8543\n",
      "Epoch: 001/150 | Train: 35.07% | Validation: 35.82% | Best Validation (Ep. 001): 35.82%\n",
      "Time elapsed: 0.86 min\n",
      "Epoch: 002/150 | Batch 0000/0351 | Loss: 1.6504\n",
      "Epoch: 002/150 | Batch 0100/0351 | Loss: 1.6998\n",
      "Epoch: 002/150 | Batch 0200/0351 | Loss: 1.6812\n",
      "Epoch: 002/150 | Batch 0300/0351 | Loss: 1.6049\n",
      "Epoch: 002/150 | Train: 43.60% | Validation: 43.74% | Best Validation (Ep. 002): 43.74%\n",
      "Time elapsed: 1.72 min\n",
      "Epoch: 003/150 | Batch 0000/0351 | Loss: 1.5176\n",
      "Epoch: 003/150 | Batch 0100/0351 | Loss: 1.6701\n",
      "Epoch: 003/150 | Batch 0200/0351 | Loss: 1.4299\n",
      "Epoch: 003/150 | Batch 0300/0351 | Loss: 1.2884\n",
      "Epoch: 003/150 | Train: 51.53% | Validation: 51.28% | Best Validation (Ep. 003): 51.28%\n",
      "Time elapsed: 2.58 min\n",
      "Epoch: 004/150 | Batch 0000/0351 | Loss: 1.1913\n",
      "Epoch: 004/150 | Batch 0100/0351 | Loss: 1.3229\n",
      "Epoch: 004/150 | Batch 0200/0351 | Loss: 1.3243\n",
      "Epoch: 004/150 | Batch 0300/0351 | Loss: 1.2645\n",
      "Epoch: 004/150 | Train: 56.24% | Validation: 56.16% | Best Validation (Ep. 004): 56.16%\n",
      "Time elapsed: 3.46 min\n",
      "Epoch: 005/150 | Batch 0000/0351 | Loss: 1.0227\n",
      "Epoch: 005/150 | Batch 0100/0351 | Loss: 1.0595\n",
      "Epoch: 005/150 | Batch 0200/0351 | Loss: 1.0355\n",
      "Epoch: 005/150 | Batch 0300/0351 | Loss: 1.2859\n",
      "Epoch: 005/150 | Train: 62.88% | Validation: 63.10% | Best Validation (Ep. 005): 63.10%\n",
      "Time elapsed: 4.32 min\n",
      "Epoch: 006/150 | Batch 0000/0351 | Loss: 0.9670\n",
      "Epoch: 006/150 | Batch 0100/0351 | Loss: 1.0837\n",
      "Epoch: 006/150 | Batch 0200/0351 | Loss: 0.9461\n",
      "Epoch: 006/150 | Batch 0300/0351 | Loss: 0.9424\n",
      "Epoch: 006/150 | Train: 52.37% | Validation: 53.12% | Best Validation (Ep. 005): 63.10%\n",
      "Time elapsed: 5.20 min\n",
      "Epoch: 007/150 | Batch 0000/0351 | Loss: 0.9730\n",
      "Epoch: 007/150 | Batch 0100/0351 | Loss: 0.8154\n",
      "Epoch: 007/150 | Batch 0200/0351 | Loss: 0.8336\n",
      "Epoch: 007/150 | Batch 0300/0351 | Loss: 0.7399\n",
      "Epoch: 007/150 | Train: 67.00% | Validation: 67.66% | Best Validation (Ep. 007): 67.66%\n",
      "Time elapsed: 6.06 min\n",
      "Epoch: 008/150 | Batch 0000/0351 | Loss: 0.7592\n",
      "Epoch: 008/150 | Batch 0100/0351 | Loss: 0.8547\n",
      "Epoch: 008/150 | Batch 0200/0351 | Loss: 0.8489\n",
      "Epoch: 008/150 | Batch 0300/0351 | Loss: 0.7938\n",
      "Epoch: 008/150 | Train: 72.27% | Validation: 71.40% | Best Validation (Ep. 008): 71.40%\n",
      "Time elapsed: 6.93 min\n",
      "Epoch: 009/150 | Batch 0000/0351 | Loss: 0.7434\n",
      "Epoch: 009/150 | Batch 0100/0351 | Loss: 0.6382\n",
      "Epoch: 009/150 | Batch 0200/0351 | Loss: 0.7434\n",
      "Epoch: 009/150 | Batch 0300/0351 | Loss: 0.5128\n",
      "Epoch: 009/150 | Train: 75.03% | Validation: 73.84% | Best Validation (Ep. 009): 73.84%\n",
      "Time elapsed: 7.79 min\n",
      "Epoch: 010/150 | Batch 0000/0351 | Loss: 0.5813\n",
      "Epoch: 010/150 | Batch 0100/0351 | Loss: 0.7054\n",
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      "Epoch: 010/150 | Train: 77.20% | Validation: 76.62% | Best Validation (Ep. 010): 76.62%\n",
      "Time elapsed: 8.66 min\n",
      "Epoch: 011/150 | Batch 0000/0351 | Loss: 0.7189\n",
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      "Epoch: 011/150 | Train: 76.31% | Validation: 74.86% | Best Validation (Ep. 010): 76.62%\n",
      "Time elapsed: 9.53 min\n",
      "Epoch: 012/150 | Batch 0000/0351 | Loss: 0.7127\n",
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      "Epoch: 012/150 | Train: 80.35% | Validation: 79.04% | Best Validation (Ep. 012): 79.04%\n",
      "Time elapsed: 10.44 min\n",
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      "Epoch: 013/150 | Train: 78.98% | Validation: 77.86% | Best Validation (Ep. 012): 79.04%\n",
      "Time elapsed: 11.31 min\n",
      "Epoch: 014/150 | Batch 0000/0351 | Loss: 0.6520\n",
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      "Epoch: 014/150 | Train: 81.25% | Validation: 79.72% | Best Validation (Ep. 014): 79.72%\n",
      "Time elapsed: 12.17 min\n",
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      "Epoch: 015/150 | Train: 84.09% | Validation: 81.84% | Best Validation (Ep. 015): 81.84%\n",
      "Time elapsed: 13.03 min\n",
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      "Epoch: 016/150 | Train: 82.59% | Validation: 80.46% | Best Validation (Ep. 015): 81.84%\n",
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      "Total Training Time: 130.74 min\n",
      "Test accuracy 85.83%\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n",
    "\n",
    "minibatch_loss_list, train_acc_list, valid_acc_list = train_classifier_simple_v2(\n",
    "    model=model,\n",
    "    num_epochs=NUM_EPOCHS,\n",
    "    train_loader=train_loader,\n",
    "    valid_loader=valid_loader,\n",
    "    test_loader=test_loader,\n",
    "    optimizer=optimizer,\n",
    "    best_model_save_path='mobilenet-v2-best-1.pt',\n",
    "    device=DEVICE,\n",
    "    scheduler_on='valid_acc',\n",
    "    logging_interval=100)\n",
    "\n",
    "\n",
    "plot_training_loss(minibatch_loss_list=minibatch_loss_list,\n",
    "                   num_epochs=NUM_EPOCHS,\n",
    "                   iter_per_epoch=len(train_loader),\n",
    "                   results_dir=None,\n",
    "                   averaging_iterations=200)\n",
    "plt.show()\n",
    "\n",
    "plot_accuracy(train_acc_list=train_acc_list,\n",
    "              valid_acc_list=valid_acc_list,\n",
    "              results_dir=None)\n",
    "plt.ylim([60, 100])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "Error(s) in loading state_dict for MobileNetV2:\n\tMissing key(s) in state_dict: \"features.1.conv.0.0.weight\", \"features.1.conv.0.1.weight\", \"features.1.conv.0.1.bias\", \"features.1.conv.0.1.running_mean\", \"features.1.conv.0.1.running_var\", \"features.1.conv.1.weight\", \"features.1.conv.2.weight\", \"features.1.conv.2.bias\", \"features.1.conv.2.running_mean\", \"features.1.conv.2.running_var\", \"features.2.conv.0.0.weight\", \"features.2.conv.0.1.weight\", \"features.2.conv.0.1.bias\", \"features.2.conv.0.1.running_mean\", \"features.2.conv.0.1.running_var\", \"features.2.conv.1.0.weight\", \"features.2.conv.1.1.weight\", \"features.2.conv.1.1.bias\", \"features.2.conv.1.1.running_mean\", \"features.2.conv.1.1.running_var\", \"features.2.conv.2.weight\", \"features.2.conv.3.weight\", \"features.2.conv.3.bias\", \"features.2.conv.3.running_mean\", \"features.2.conv.3.running_var\", \"features.3.conv.0.0.weight\", \"features.3.conv.0.1.weight\", \"features.3.conv.0.1.bias\", \"features.3.conv.0.1.running_mean\", \"features.3.conv.0.1.running_var\", \"features.3.conv.1.0.weight\", \"features.3.conv.1.1.weight\", \"features.3.conv.1.1.bias\", \"features.3.conv.1.1.running_mean\", \"features.3.conv.1.1.running_var\", \"features.3.conv.2.weight\", \"features.3.conv.3.weight\", \"features.3.conv.3.bias\", \"features.3.conv.3.running_mean\", \"features.3.conv.3.running_var\", \"features.4.conv.0.0.weight\", \"features.4.conv.0.1.weight\", \"features.4.conv.0.1.bias\", \"features.4.conv.0.1.running_mean\", \"features.4.conv.0.1.running_var\", \"features.4.conv.1.0.weight\", \"features.4.conv.1.1.weight\", \"features.4.conv.1.1.bias\", \"features.4.conv.1.1.running_mean\", \"features.4.conv.1.1.running_var\", \"features.4.conv.2.weight\", \"features.4.conv.3.weight\", \"features.4.conv.3.bias\", \"features.4.conv.3.running_mean\", \"features.4.conv.3.running_var\", \"features.5.conv.0.0.weight\", \"features.5.conv.0.1.weight\", \"features.5.conv.0.1.bias\", \"features.5.conv.0.1.running_mean\", \"features.5.conv.0.1.running_var\", \"features.5.conv.1.0.weight\", \"features.5.conv.1.1.weight\", \"features.5.conv.1.1.bias\", \"features.5.conv.1.1.running_mean\", \"features.5.conv.1.1.running_var\", \"features.5.conv.2.weight\", \"features.5.conv.3.weight\", \"features.5.conv.3.bias\", \"features.5.conv.3.running_mean\", \"features.5.conv.3.running_var\", \"features.6.conv.0.0.weight\", \"features.6.conv.0.1.weight\", \"features.6.conv.0.1.bias\", \"features.6.conv.0.1.running_mean\", \"features.6.conv.0.1.running_var\", \"features.6.conv.1.0.weight\", \"features.6.conv.1.1.weight\", \"features.6.conv.1.1.bias\", \"features.6.conv.1.1.running_mean\", \"features.6.conv.1.1.running_var\", \"features.6.conv.2.weight\", \"features.6.conv.3.weight\", \"features.6.conv.3.bias\", \"features.6.conv.3.running_mean\", \"features.6.conv.3.running_var\", \"features.7.conv.0.0.weight\", \"features.7.conv.0.1.weight\", \"features.7.conv.0.1.bias\", \"features.7.conv.0.1.running_mean\", \"features.7.conv.0.1.running_var\", \"features.7.conv.1.0.weight\", \"features.7.conv.1.1.weight\", \"features.7.conv.1.1.bias\", \"features.7.conv.1.1.running_mean\", \"features.7.conv.1.1.running_var\", \"features.7.conv.2.weight\", \"features.7.conv.3.weight\", \"features.7.conv.3.bias\", \"features.7.conv.3.running_mean\", \"features.7.conv.3.running_var\", \"features.8.conv.0.0.weight\", \"features.8.conv.0.1.weight\", \"features.8.conv.0.1.bias\", \"features.8.conv.0.1.running_mean\", \"features.8.conv.0.1.running_var\", \"features.8.conv.1.0.weight\", \"features.8.conv.1.1.weight\", \"features.8.conv.1.1.bias\", \"features.8.conv.1.1.running_mean\", \"features.8.conv.1.1.running_var\", \"features.8.conv.2.weight\", \"features.8.conv.3.weight\", \"features.8.conv.3.bias\", \"features.8.conv.3.running_mean\", \"features.8.conv.3.running_var\", \"features.9.conv.0.0.weight\", \"features.9.conv.0.1.weight\", \"features.9.conv.0.1.bias\", \"features.9.conv.0.1.running_mean\", \"features.9.conv.0.1.running_var\", \"features.9.conv.1.0.weight\", \"features.9.conv.1.1.weight\", \"features.9.conv.1.1.bias\", \"features.9.conv.1.1.running_mean\", \"features.9.conv.1.1.running_var\", \"features.9.conv.2.weight\", \"features.9.conv.3.weight\", \"features.9.conv.3.bias\", \"features.9.conv.3.running_mean\", \"features.9.conv.3.running_var\", \"features.10.conv.0.0.weight\", \"features.10.conv.0.1.weight\", \"features.10.conv.0.1.bias\", \"features.10.conv.0.1.running_mean\", \"features.10.conv.0.1.running_var\", \"features.10.conv.1.0.weight\", \"features.10.conv.1.1.weight\", \"features.10.conv.1.1.bias\", \"features.10.conv.1.1.running_mean\", \"features.10.conv.1.1.running_var\", \"features.10.conv.2.weight\", \"features.10.conv.3.weight\", \"features.10.conv.3.bias\", \"features.10.conv.3.running_mean\", \"features.10.conv.3.running_var\", \"features.11.conv.0.0.weight\", \"features.11.conv.0.1.weight\", \"features.11.conv.0.1.bias\", \"features.11.conv.0.1.running_mean\", \"features.11.conv.0.1.running_var\", \"features.11.conv.1.0.weight\", \"features.11.conv.1.1.weight\", \"features.11.conv.1.1.bias\", \"features.11.conv.1.1.running_mean\", \"features.11.conv.1.1.running_var\", \"features.11.conv.2.weight\", \"features.11.conv.3.weight\", \"features.11.conv.3.bias\", \"features.11.conv.3.running_mean\", \"features.11.conv.3.running_var\", \"features.12.conv.0.0.weight\", \"features.12.conv.0.1.weight\", \"features.12.conv.0.1.bias\", \"features.12.conv.0.1.running_mean\", \"features.12.conv.0.1.running_var\", \"features.12.conv.1.0.weight\", \"features.12.conv.1.1.weight\", \"features.12.conv.1.1.bias\", \"features.12.conv.1.1.running_mean\", \"features.12.conv.1.1.running_var\", \"features.12.conv.2.weight\", \"features.12.conv.3.weight\", \"features.12.conv.3.bias\", \"features.12.conv.3.running_mean\", \"features.12.conv.3.running_var\", \"features.13.conv.0.0.weight\", \"features.13.conv.0.1.weight\", \"features.13.conv.0.1.bias\", \"features.13.conv.0.1.running_mean\", \"features.13.conv.0.1.running_var\", \"features.13.conv.1.0.weight\", \"features.13.conv.1.1.weight\", \"features.13.conv.1.1.bias\", \"features.13.conv.1.1.running_mean\", \"features.13.conv.1.1.running_var\", \"features.13.conv.2.weight\", \"features.13.conv.3.weight\", \"features.13.conv.3.bias\", \"features.13.conv.3.running_mean\", \"features.13.conv.3.running_var\", \"features.14.conv.0.0.weight\", \"features.14.conv.0.1.weight\", \"features.14.conv.0.1.bias\", \"features.14.conv.0.1.running_mean\", \"features.14.conv.0.1.running_var\", \"features.14.conv.1.0.weight\", \"features.14.conv.1.1.weight\", \"features.14.conv.1.1.bias\", \"features.14.conv.1.1.running_mean\", \"features.14.conv.1.1.running_var\", \"features.14.conv.2.weight\", \"features.14.conv.3.weight\", \"features.14.conv.3.bias\", \"features.14.conv.3.running_mean\", \"features.14.conv.3.running_var\", \"features.15.conv.0.0.weight\", \"features.15.conv.0.1.weight\", \"features.15.conv.0.1.bias\", \"features.15.conv.0.1.running_mean\", \"features.15.conv.0.1.running_var\", \"features.15.conv.1.0.weight\", \"features.15.conv.1.1.weight\", \"features.15.conv.1.1.bias\", \"features.15.conv.1.1.running_mean\", \"features.15.conv.1.1.running_var\", \"features.15.conv.2.weight\", \"features.15.conv.3.weight\", \"features.15.conv.3.bias\", \"features.15.conv.3.running_mean\", \"features.15.conv.3.running_var\", \"features.16.conv.0.0.weight\", \"features.16.conv.0.1.weight\", \"features.16.conv.0.1.bias\", \"features.16.conv.0.1.running_mean\", \"features.16.conv.0.1.running_var\", \"features.16.conv.1.0.weight\", \"features.16.conv.1.1.weight\", \"features.16.conv.1.1.bias\", \"features.16.conv.1.1.running_mean\", \"features.16.conv.1.1.running_var\", \"features.16.conv.2.weight\", \"features.16.conv.3.weight\", \"features.16.conv.3.bias\", \"features.16.conv.3.running_mean\", \"features.16.conv.3.running_var\", \"features.17.conv.0.0.weight\", \"features.17.conv.0.1.weight\", \"features.17.conv.0.1.bias\", \"features.17.conv.0.1.running_mean\", \"features.17.conv.0.1.running_var\", \"features.17.conv.1.0.weight\", \"features.17.conv.1.1.weight\", \"features.17.conv.1.1.bias\", \"features.17.conv.1.1.running_mean\", \"features.17.conv.1.1.running_var\", \"features.17.conv.2.weight\", \"features.17.conv.3.weight\", \"features.17.conv.3.bias\", \"features.17.conv.3.running_mean\", \"features.17.conv.3.running_var\", \"features.18.0.weight\", \"features.18.1.weight\", \"features.18.1.bias\", \"features.18.1.running_mean\", \"features.18.1.running_var\", \"classifier.1.weight\", \"classifier.1.bias\". \n\tUnexpected key(s) in state_dict: \"features.1.block.0.0.weight\", \"features.1.block.0.1.weight\", \"features.1.block.0.1.bias\", \"features.1.block.0.1.running_mean\", \"features.1.block.0.1.running_var\", \"features.1.block.0.1.num_batches_tracked\", \"features.1.block.1.0.weight\", \"features.1.block.1.1.weight\", \"features.1.block.1.1.bias\", \"features.1.block.1.1.running_mean\", \"features.1.block.1.1.running_var\", \"features.1.block.1.1.num_batches_tracked\", \"features.2.block.0.0.weight\", \"features.2.block.0.1.weight\", \"features.2.block.0.1.bias\", \"features.2.block.0.1.running_mean\", \"features.2.block.0.1.running_var\", \"features.2.block.0.1.num_batches_tracked\", \"features.2.block.1.0.weight\", \"features.2.block.1.1.weight\", \"features.2.block.1.1.bias\", \"features.2.block.1.1.running_mean\", \"features.2.block.1.1.running_var\", \"features.2.block.1.1.num_batches_tracked\", \"features.2.block.2.0.weight\", \"features.2.block.2.1.weight\", \"features.2.block.2.1.bias\", \"features.2.block.2.1.running_mean\", \"features.2.block.2.1.running_var\", \"features.2.block.2.1.num_batches_tracked\", \"features.3.block.0.0.weight\", \"features.3.block.0.1.weight\", \"features.3.block.0.1.bias\", \"features.3.block.0.1.running_mean\", \"features.3.block.0.1.running_var\", \"features.3.block.0.1.num_batches_tracked\", \"features.3.block.1.0.weight\", \"features.3.block.1.1.weight\", \"features.3.block.1.1.bias\", \"features.3.block.1.1.running_mean\", \"features.3.block.1.1.running_var\", \"features.3.block.1.1.num_batches_tracked\", \"features.3.block.2.0.weight\", \"features.3.block.2.1.weight\", \"features.3.block.2.1.bias\", \"features.3.block.2.1.running_mean\", \"features.3.block.2.1.running_var\", \"features.3.block.2.1.num_batches_tracked\", \"features.4.block.0.0.weight\", \"features.4.block.0.1.weight\", \"features.4.block.0.1.bias\", \"features.4.block.0.1.running_mean\", \"features.4.block.0.1.running_var\", \"features.4.block.0.1.num_batches_tracked\", \"features.4.block.1.0.weight\", \"features.4.block.1.1.weight\", \"features.4.block.1.1.bias\", \"features.4.block.1.1.running_mean\", \"features.4.block.1.1.running_var\", \"features.4.block.1.1.num_batches_tracked\", \"features.4.block.2.fc1.weight\", \"features.4.block.2.fc1.bias\", \"features.4.block.2.fc2.weight\", \"features.4.block.2.fc2.bias\", \"features.4.block.3.0.weight\", \"features.4.block.3.1.weight\", \"features.4.block.3.1.bias\", \"features.4.block.3.1.running_mean\", \"features.4.block.3.1.running_var\", \"features.4.block.3.1.num_batches_tracked\", \"features.5.block.0.0.weight\", \"features.5.block.0.1.weight\", \"features.5.block.0.1.bias\", \"features.5.block.0.1.running_mean\", \"features.5.block.0.1.running_var\", \"features.5.block.0.1.num_batches_tracked\", \"features.5.block.1.0.weight\", \"features.5.block.1.1.weight\", \"features.5.block.1.1.bias\", \"features.5.block.1.1.running_mean\", \"features.5.block.1.1.running_var\", \"features.5.block.1.1.num_batches_tracked\", \"features.5.block.2.fc1.weight\", \"features.5.block.2.fc1.bias\", \"features.5.block.2.fc2.weight\", \"features.5.block.2.fc2.bias\", \"features.5.block.3.0.weight\", \"features.5.block.3.1.weight\", \"features.5.block.3.1.bias\", \"features.5.block.3.1.running_mean\", \"features.5.block.3.1.running_var\", \"features.5.block.3.1.num_batches_tracked\", \"features.6.block.0.0.weight\", \"features.6.block.0.1.weight\", \"features.6.block.0.1.bias\", \"features.6.block.0.1.running_mean\", \"features.6.block.0.1.running_var\", \"features.6.block.0.1.num_batches_tracked\", \"features.6.block.1.0.weight\", \"features.6.block.1.1.weight\", \"features.6.block.1.1.bias\", \"features.6.block.1.1.running_mean\", \"features.6.block.1.1.running_var\", \"features.6.block.1.1.num_batches_tracked\", \"features.6.block.2.fc1.weight\", \"features.6.block.2.fc1.bias\", \"features.6.block.2.fc2.weight\", \"features.6.block.2.fc2.bias\", \"features.6.block.3.0.weight\", \"features.6.block.3.1.weight\", \"features.6.block.3.1.bias\", \"features.6.block.3.1.running_mean\", \"features.6.block.3.1.running_var\", \"features.6.block.3.1.num_batches_tracked\", \"features.7.block.0.0.weight\", \"features.7.block.0.1.weight\", \"features.7.block.0.1.bias\", \"features.7.block.0.1.running_mean\", \"features.7.block.0.1.running_var\", \"features.7.block.0.1.num_batches_tracked\", \"features.7.block.1.0.weight\", \"features.7.block.1.1.weight\", \"features.7.block.1.1.bias\", \"features.7.block.1.1.running_mean\", \"features.7.block.1.1.running_var\", \"features.7.block.1.1.num_batches_tracked\", \"features.7.block.2.0.weight\", \"features.7.block.2.1.weight\", \"features.7.block.2.1.bias\", \"features.7.block.2.1.running_mean\", \"features.7.block.2.1.running_var\", \"features.7.block.2.1.num_batches_tracked\", \"features.8.block.0.0.weight\", \"features.8.block.0.1.weight\", \"features.8.block.0.1.bias\", \"features.8.block.0.1.running_mean\", \"features.8.block.0.1.running_var\", \"features.8.block.0.1.num_batches_tracked\", \"features.8.block.1.0.weight\", \"features.8.block.1.1.weight\", \"features.8.block.1.1.bias\", \"features.8.block.1.1.running_mean\", \"features.8.block.1.1.running_var\", \"features.8.block.1.1.num_batches_tracked\", \"features.8.block.2.0.weight\", \"features.8.block.2.1.weight\", \"features.8.block.2.1.bias\", \"features.8.block.2.1.running_mean\", \"features.8.block.2.1.running_var\", \"features.8.block.2.1.num_batches_tracked\", \"features.9.block.0.0.weight\", \"features.9.block.0.1.weight\", \"features.9.block.0.1.bias\", \"features.9.block.0.1.running_mean\", \"features.9.block.0.1.running_var\", \"features.9.block.0.1.num_batches_tracked\", \"features.9.block.1.0.weight\", \"features.9.block.1.1.weight\", \"features.9.block.1.1.bias\", \"features.9.block.1.1.running_mean\", \"features.9.block.1.1.running_var\", \"features.9.block.1.1.num_batches_tracked\", \"features.9.block.2.0.weight\", \"features.9.block.2.1.weight\", \"features.9.block.2.1.bias\", \"features.9.block.2.1.running_mean\", \"features.9.block.2.1.running_var\", \"features.9.block.2.1.num_batches_tracked\", \"features.10.block.0.0.weight\", \"features.10.block.0.1.weight\", \"features.10.block.0.1.bias\", \"features.10.block.0.1.running_mean\", \"features.10.block.0.1.running_var\", \"features.10.block.0.1.num_batches_tracked\", \"features.10.block.1.0.weight\", \"features.10.block.1.1.weight\", \"features.10.block.1.1.bias\", \"features.10.block.1.1.running_mean\", \"features.10.block.1.1.running_var\", \"features.10.block.1.1.num_batches_tracked\", \"features.10.block.2.0.weight\", \"features.10.block.2.1.weight\", \"features.10.block.2.1.bias\", \"features.10.block.2.1.running_mean\", \"features.10.block.2.1.running_var\", \"features.10.block.2.1.num_batches_tracked\", \"features.11.block.0.0.weight\", \"features.11.block.0.1.weight\", \"features.11.block.0.1.bias\", \"features.11.block.0.1.running_mean\", \"features.11.block.0.1.running_var\", \"features.11.block.0.1.num_batches_tracked\", \"features.11.block.1.0.weight\", \"features.11.block.1.1.weight\", \"features.11.block.1.1.bias\", \"features.11.block.1.1.running_mean\", \"features.11.block.1.1.running_var\", \"features.11.block.1.1.num_batches_tracked\", \"features.11.block.2.fc1.weight\", \"features.11.block.2.fc1.bias\", \"features.11.block.2.fc2.weight\", \"features.11.block.2.fc2.bias\", \"features.11.block.3.0.weight\", \"features.11.block.3.1.weight\", \"features.11.block.3.1.bias\", \"features.11.block.3.1.running_mean\", \"features.11.block.3.1.running_var\", \"features.11.block.3.1.num_batches_tracked\", \"features.12.block.0.0.weight\", \"features.12.block.0.1.weight\", \"features.12.block.0.1.bias\", \"features.12.block.0.1.running_mean\", \"features.12.block.0.1.running_var\", \"features.12.block.0.1.num_batches_tracked\", \"features.12.block.1.0.weight\", \"features.12.block.1.1.weight\", \"features.12.block.1.1.bias\", \"features.12.block.1.1.running_mean\", \"features.12.block.1.1.running_var\", \"features.12.block.1.1.num_batches_tracked\", \"features.12.block.2.fc1.weight\", \"features.12.block.2.fc1.bias\", \"features.12.block.2.fc2.weight\", \"features.12.block.2.fc2.bias\", \"features.12.block.3.0.weight\", \"features.12.block.3.1.weight\", \"features.12.block.3.1.bias\", \"features.12.block.3.1.running_mean\", \"features.12.block.3.1.running_var\", \"features.12.block.3.1.num_batches_tracked\", \"features.13.block.0.0.weight\", \"features.13.block.0.1.weight\", \"features.13.block.0.1.bias\", \"features.13.block.0.1.running_mean\", \"features.13.block.0.1.running_var\", \"features.13.block.0.1.num_batches_tracked\", \"features.13.block.1.0.weight\", \"features.13.block.1.1.weight\", \"features.13.block.1.1.bias\", \"features.13.block.1.1.running_mean\", \"features.13.block.1.1.running_var\", \"features.13.block.1.1.num_batches_tracked\", \"features.13.block.2.fc1.weight\", \"features.13.block.2.fc1.bias\", \"features.13.block.2.fc2.weight\", \"features.13.block.2.fc2.bias\", \"features.13.block.3.0.weight\", \"features.13.block.3.1.weight\", \"features.13.block.3.1.bias\", \"features.13.block.3.1.running_mean\", \"features.13.block.3.1.running_var\", \"features.13.block.3.1.num_batches_tracked\", \"features.14.block.0.0.weight\", \"features.14.block.0.1.weight\", \"features.14.block.0.1.bias\", \"features.14.block.0.1.running_mean\", \"features.14.block.0.1.running_var\", \"features.14.block.0.1.num_batches_tracked\", \"features.14.block.1.0.weight\", \"features.14.block.1.1.weight\", \"features.14.block.1.1.bias\", \"features.14.block.1.1.running_mean\", \"features.14.block.1.1.running_var\", \"features.14.block.1.1.num_batches_tracked\", \"features.14.block.2.fc1.weight\", \"features.14.block.2.fc1.bias\", \"features.14.block.2.fc2.weight\", \"features.14.block.2.fc2.bias\", \"features.14.block.3.0.weight\", \"features.14.block.3.1.weight\", \"features.14.block.3.1.bias\", \"features.14.block.3.1.running_mean\", \"features.14.block.3.1.running_var\", \"features.14.block.3.1.num_batches_tracked\", \"features.15.block.0.0.weight\", \"features.15.block.0.1.weight\", \"features.15.block.0.1.bias\", \"features.15.block.0.1.running_mean\", \"features.15.block.0.1.running_var\", \"features.15.block.0.1.num_batches_tracked\", \"features.15.block.1.0.weight\", \"features.15.block.1.1.weight\", \"features.15.block.1.1.bias\", \"features.15.block.1.1.running_mean\", \"features.15.block.1.1.running_var\", \"features.15.block.1.1.num_batches_tracked\", \"features.15.block.2.fc1.weight\", \"features.15.block.2.fc1.bias\", \"features.15.block.2.fc2.weight\", \"features.15.block.2.fc2.bias\", \"features.15.block.3.0.weight\", \"features.15.block.3.1.weight\", \"features.15.block.3.1.bias\", \"features.15.block.3.1.running_mean\", \"features.15.block.3.1.running_var\", \"features.15.block.3.1.num_batches_tracked\", \"features.16.0.weight\", \"features.16.1.weight\", \"features.16.1.bias\", \"features.16.1.running_mean\", \"features.16.1.running_var\", \"features.16.1.num_batches_tracked\", \"classifier.3.weight\", \"classifier.3.bias\", \"classifier.0.weight\", \"classifier.0.bias\". \n\tsize mismatch for features.0.0.weight: copying a param with shape torch.Size([16, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 3, 3, 3]).\n\tsize mismatch for features.0.1.weight: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.running_mean: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.running_var: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-d43cc3db6d49>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_state_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'mobilenet-v2-best-1.pt'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mtest_acc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_accuracy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_loader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mDEVICE\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'Test accuracy: {test_acc:.2f}%'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniforge3/lib/python3.8/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36mload_state_dict\u001b[0;34m(self, state_dict, strict)\u001b[0m\n\u001b[1;32m   1221\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1222\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_msgs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1223\u001b[0;31m             raise RuntimeError('Error(s) in loading state_dict for {}:\\n\\t{}'.format(\n\u001b[0m\u001b[1;32m   1224\u001b[0m                                self.__class__.__name__, \"\\n\\t\".join(error_msgs)))\n\u001b[1;32m   1225\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_IncompatibleKeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmissing_keys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munexpected_keys\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: Error(s) in loading state_dict for MobileNetV2:\n\tMissing key(s) in state_dict: \"features.1.conv.0.0.weight\", \"features.1.conv.0.1.weight\", \"features.1.conv.0.1.bias\", \"features.1.conv.0.1.running_mean\", \"features.1.conv.0.1.running_var\", \"features.1.conv.1.weight\", \"features.1.conv.2.weight\", \"features.1.conv.2.bias\", \"features.1.conv.2.running_mean\", \"features.1.conv.2.running_var\", \"features.2.conv.0.0.weight\", \"features.2.conv.0.1.weight\", \"features.2.conv.0.1.bias\", \"features.2.conv.0.1.running_mean\", \"features.2.conv.0.1.running_var\", \"features.2.conv.1.0.weight\", \"features.2.conv.1.1.weight\", \"features.2.conv.1.1.bias\", \"features.2.conv.1.1.running_mean\", \"features.2.conv.1.1.running_var\", \"features.2.conv.2.weight\", \"features.2.conv.3.weight\", \"features.2.conv.3.bias\", \"features.2.conv.3.running_mean\", \"features.2.conv.3.running_var\", \"features.3.conv.0.0.weight\", \"features.3.conv.0.1.weight\", \"features.3.conv.0.1.bias\", \"features.3.conv.0.1.running_mean\", \"features.3.conv.0.1.running_var\", \"features.3.conv.1.0.weight\", \"features.3.conv.1.1.weight\", \"features.3.conv.1.1.bias\", \"features.3.conv.1.1.running_mean\", \"features.3.conv.1.1.running_var\", \"features.3.conv.2.weight\", \"features.3.conv.3.weight\", \"features.3.conv.3.bias\", \"features.3.conv.3.running_mean\", \"features.3.conv.3.running_var\", \"features.4.conv.0.0.weight\", \"features.4.conv.0.1.weight\", \"features.4.conv.0.1.bias\", \"features.4.conv.0.1.running_mean\", \"features.4.conv.0.1.running_var\", \"features.4.conv.1.0.weight\", \"features.4.conv.1.1.weight\", \"features.4.conv.1.1.bias\", \"features.4.conv.1.1.running_mean\", \"features.4.conv.1.1.running_var\", \"features.4.conv.2.weight\", \"features.4.conv.3.weight\", \"features.4.conv.3.bias\", \"features.4.conv.3.running_mean\", \"features.4.conv.3.running_var\", \"features.5.conv.0.0.weight\", \"features.5.conv.0.1.weight\", \"features.5.conv.0.1.bias\", \"features.5.conv.0.1.running_mean\", \"features.5.conv.0.1.running_var\", \"features.5.conv.1.0.weight\", \"features.5.conv.1.1.weight\", \"features.5.conv.1.1.bias\", \"features.5.conv.1.1.running_mean\", \"features.5.conv.1.1.running_var\", \"features.5.conv.2.weight\", \"features.5.conv.3.weight\", \"features.5.conv.3.bias\", \"features.5.conv.3.running_mean\", \"features.5.conv.3.running_var\", \"features.6.conv.0.0.weight\", \"features.6.conv.0.1.weight\", \"features.6.conv.0.1.bias\", \"features.6.conv.0.1.running_mean\", \"features.6.conv.0.1.running_var\", \"features.6.conv.1.0.weight\", \"features.6.conv.1.1.weight\", \"features.6.conv.1.1.bias\", \"features.6.conv.1.1.running_mean\", \"features.6.conv.1.1.running_var\", \"features.6.conv.2.weight\", \"features.6.conv.3.weight\", \"features.6.conv.3.bias\", \"features.6.conv.3.running_mean\", \"features.6.conv.3.running_var\", \"features.7.conv.0.0.weight\", \"features.7.conv.0.1.weight\", \"features.7.conv.0.1.bias\", \"features.7.conv.0.1.running_mean\", \"features.7.conv.0.1.running_var\", \"features.7.conv.1.0.weight\", \"features.7.conv.1.1.weight\", \"features.7.conv.1.1.bias\", \"features.7.conv.1.1.running_mean\", \"features.7.conv.1.1.running_var\", \"features.7.conv.2.weight\", \"features.7.conv.3.weight\", \"features.7.conv.3.bias\", \"features.7.conv.3.running_mean\", \"features.7.conv.3.running_var\", \"features.8.conv.0.0.weight\", \"features.8.conv.0.1.weight\", \"features.8.conv.0.1.bias\", \"features.8.conv.0.1.running_mean\", \"features.8.conv.0.1.running_var\", \"features.8.conv.1.0.weight\", \"features.8.conv.1.1.weight\", \"features.8.conv.1.1.bias\", \"features.8.conv.1.1.running_mean\", \"features.8.conv.1.1.running_var\", \"features.8.conv.2.weight\", \"features.8.conv.3.weight\", \"features.8.conv.3.bias\", \"features.8.conv.3.running_mean\", \"features.8.conv.3.running_var\", \"features.9.conv.0.0.weight\", \"features.9.conv.0.1.weight\", \"features.9.conv.0.1.bias\", \"features.9.conv.0.1.running_mean\", \"features.9.conv.0.1.running_var\", \"features.9.conv.1.0.weight\", \"features.9.conv.1.1.weight\", \"features.9.conv.1.1.bias\", \"features.9.conv.1.1.running_mean\", \"features.9.conv.1.1.running_var\", \"features.9.conv.2.weight\", \"features.9.conv.3.weight\", \"features.9.conv.3.bias\", \"features.9.conv.3.running_mean\", \"features.9.conv.3.running_var\", \"features.10.conv.0.0.weight\", \"features.10.conv.0.1.weight\", \"features.10.conv.0.1.bias\", \"features.10.conv.0.1.running_mean\", \"features.10.conv.0.1.running_var\", \"features.10.conv.1.0.weight\", \"features.10.conv.1.1.weight\", \"features.10.conv.1.1.bias\", \"features.10.conv.1.1.running_mean\", \"features.10.conv.1.1.running_var\", \"features.10.conv.2.weight\", \"features.10.conv.3.weight\", \"features.10.conv.3.bias\", \"features.10.conv.3.running_mean\", \"features.10.conv.3.running_var\", \"features.11.conv.0.0.weight\", \"features.11.conv.0.1.weight\", \"features.11.conv.0.1.bias\", \"features.11.conv.0.1.running_mean\", \"features.11.conv.0.1.running_var\", \"features.11.conv.1.0.weight\", \"features.11.conv.1.1.weight\", \"features.11.conv.1.1.bias\", \"features.11.conv.1.1.running_mean\", \"features.11.conv.1.1.running_var\", \"features.11.conv.2.weight\", \"features.11.conv.3.weight\", \"features.11.conv.3.bias\", \"features.11.conv.3.running_mean\", \"features.11.conv.3.running_var\", \"features.12.conv.0.0.weight\", \"features.12.conv.0.1.weight\", \"features.12.conv.0.1.bias\", \"features.12.conv.0.1.running_mean\", \"features.12.conv.0.1.running_var\", \"features.12.conv.1.0.weight\", \"features.12.conv.1.1.weight\", \"features.12.conv.1.1.bias\", \"features.12.conv.1.1.running_mean\", \"features.12.conv.1.1.running_var\", \"features.12.conv.2.weight\", \"features.12.conv.3.weight\", \"features.12.conv.3.bias\", \"features.12.conv.3.running_mean\", \"features.12.conv.3.running_var\", \"features.13.conv.0.0.weight\", \"features.13.conv.0.1.weight\", \"features.13.conv.0.1.bias\", \"features.13.conv.0.1.running_mean\", \"features.13.conv.0.1.running_var\", \"features.13.conv.1.0.weight\", \"features.13.conv.1.1.weight\", \"features.13.conv.1.1.bias\", \"features.13.conv.1.1.running_mean\", \"features.13.conv.1.1.running_var\", \"features.13.conv.2.weight\", \"features.13.conv.3.weight\", \"features.13.conv.3.bias\", \"features.13.conv.3.running_mean\", \"features.13.conv.3.running_var\", \"features.14.conv.0.0.weight\", \"features.14.conv.0.1.weight\", \"features.14.conv.0.1.bias\", \"features.14.conv.0.1.running_mean\", \"features.14.conv.0.1.running_var\", \"features.14.conv.1.0.weight\", \"features.14.conv.1.1.weight\", \"features.14.conv.1.1.bias\", \"features.14.conv.1.1.running_mean\", \"features.14.conv.1.1.running_var\", \"features.14.conv.2.weight\", \"features.14.conv.3.weight\", \"features.14.conv.3.bias\", \"features.14.conv.3.running_mean\", \"features.14.conv.3.running_var\", \"features.15.conv.0.0.weight\", \"features.15.conv.0.1.weight\", \"features.15.conv.0.1.bias\", \"features.15.conv.0.1.running_mean\", \"features.15.conv.0.1.running_var\", \"features.15.conv.1.0.weight\", \"features.15.conv.1.1.weight\", \"features.15.conv.1.1.bias\", \"features.15.conv.1.1.running_mean\", \"features.15.conv.1.1.running_var\", \"features.15.conv.2.weight\", \"features.15.conv.3.weight\", \"features.15.conv.3.bias\", \"features.15.conv.3.running_mean\", \"features.15.conv.3.running_var\", \"features.16.conv.0.0.weight\", \"features.16.conv.0.1.weight\", \"features.16.conv.0.1.bias\", \"features.16.conv.0.1.running_mean\", \"features.16.conv.0.1.running_var\", \"features.16.conv.1.0.weight\", \"features.16.conv.1.1.weight\", \"features.16.conv.1.1.bias\", \"features.16.conv.1.1.running_mean\", \"features.16.conv.1.1.running_var\", \"features.16.conv.2.weight\", \"features.16.conv.3.weight\", \"features.16.conv.3.bias\", \"features.16.conv.3.running_mean\", \"features.16.conv.3.running_var\", \"features.17.conv.0.0.weight\", \"features.17.conv.0.1.weight\", \"features.17.conv.0.1.bias\", \"features.17.conv.0.1.running_mean\", \"features.17.conv.0.1.running_var\", \"features.17.conv.1.0.weight\", \"features.17.conv.1.1.weight\", \"features.17.conv.1.1.bias\", \"features.17.conv.1.1.running_mean\", \"features.17.conv.1.1.running_var\", \"features.17.conv.2.weight\", \"features.17.conv.3.weight\", \"features.17.conv.3.bias\", \"features.17.conv.3.running_mean\", \"features.17.conv.3.running_var\", \"features.18.0.weight\", \"features.18.1.weight\", \"features.18.1.bias\", \"features.18.1.running_mean\", \"features.18.1.running_var\", \"classifier.1.weight\", \"classifier.1.bias\". \n\tUnexpected key(s) in state_dict: \"features.1.block.0.0.weight\", \"features.1.block.0.1.weight\", \"features.1.block.0.1.bias\", \"features.1.block.0.1.running_mean\", \"features.1.block.0.1.running_var\", \"features.1.block.0.1.num_batches_tracked\", \"features.1.block.1.0.weight\", \"features.1.block.1.1.weight\", \"features.1.block.1.1.bias\", \"features.1.block.1.1.running_mean\", \"features.1.block.1.1.running_var\", \"features.1.block.1.1.num_batches_tracked\", \"features.2.block.0.0.weight\", \"features.2.block.0.1.weight\", \"features.2.block.0.1.bias\", \"features.2.block.0.1.running_mean\", \"features.2.block.0.1.running_var\", \"features.2.block.0.1.num_batches_tracked\", \"features.2.block.1.0.weight\", \"features.2.block.1.1.weight\", \"features.2.block.1.1.bias\", \"features.2.block.1.1.running_mean\", \"features.2.block.1.1.running_var\", \"features.2.block.1.1.num_batches_tracked\", \"features.2.block.2.0.weight\", \"features.2.block.2.1.weight\", \"features.2.block.2.1.bias\", \"features.2.block.2.1.running_mean\", \"features.2.block.2.1.running_var\", \"features.2.block.2.1.num_batches_tracked\", \"features.3.block.0.0.weight\", \"features.3.block.0.1.weight\", \"features.3.block.0.1.bias\", \"features.3.block.0.1.running_mean\", \"features.3.block.0.1.running_var\", \"features.3.block.0.1.num_batches_tracked\", \"features.3.block.1.0.weight\", \"features.3.block.1.1.weight\", \"features.3.block.1.1.bias\", \"features.3.block.1.1.running_mean\", \"features.3.block.1.1.running_var\", \"features.3.block.1.1.num_batches_tracked\", \"features.3.block.2.0.weight\", \"features.3.block.2.1.weight\", \"features.3.block.2.1.bias\", \"features.3.block.2.1.running_mean\", \"features.3.block.2.1.running_var\", \"features.3.block.2.1.num_batches_tracked\", \"features.4.block.0.0.weight\", \"features.4.block.0.1.weight\", \"features.4.block.0.1.bias\", \"features.4.block.0.1.running_mean\", \"features.4.block.0.1.running_var\", \"features.4.block.0.1.num_batches_tracked\", \"features.4.block.1.0.weight\", \"features.4.block.1.1.weight\", \"features.4.block.1.1.bias\", \"features.4.block.1.1.running_mean\", \"features.4.block.1.1.running_var\", \"features.4.block.1.1.num_batches_tracked\", \"features.4.block.2.fc1.weight\", \"features.4.block.2.fc1.bias\", \"features.4.block.2.fc2.weight\", \"features.4.block.2.fc2.bias\", \"features.4.block.3.0.weight\", \"features.4.block.3.1.weight\", \"features.4.block.3.1.bias\", \"features.4.block.3.1.running_mean\", \"features.4.block.3.1.running_var\", \"features.4.block.3.1.num_batches_tracked\", \"features.5.block.0.0.weight\", \"features.5.block.0.1.weight\", \"features.5.block.0.1.bias\", \"features.5.block.0.1.running_mean\", \"features.5.block.0.1.running_var\", \"features.5.block.0.1.num_batches_tracked\", \"features.5.block.1.0.weight\", \"features.5.block.1.1.weight\", \"features.5.block.1.1.bias\", \"features.5.block.1.1.running_mean\", \"features.5.block.1.1.running_var\", \"features.5.block.1.1.num_batches_tracked\", \"features.5.block.2.fc1.weight\", \"features.5.block.2.fc1.bias\", \"features.5.block.2.fc2.weight\", \"features.5.block.2.fc2.bias\", \"features.5.block.3.0.weight\", \"features.5.block.3.1.weight\", \"features.5.block.3.1.bias\", \"features.5.block.3.1.running_mean\", \"features.5.block.3.1.running_var\", \"features.5.block.3.1.num_batches_tracked\", \"features.6.block.0.0.weight\", \"features.6.block.0.1.weight\", \"features.6.block.0.1.bias\", \"features.6.block.0.1.running_mean\", \"features.6.block.0.1.running_var\", \"features.6.block.0.1.num_batches_tracked\", \"features.6.block.1.0.weight\", \"features.6.block.1.1.weight\", \"features.6.block.1.1.bias\", \"features.6.block.1.1.running_mean\", \"features.6.block.1.1.running_var\", \"features.6.block.1.1.num_batches_tracked\", \"features.6.block.2.fc1.weight\", \"features.6.block.2.fc1.bias\", \"features.6.block.2.fc2.weight\", \"features.6.block.2.fc2.bias\", \"features.6.block.3.0.weight\", \"features.6.block.3.1.weight\", \"features.6.block.3.1.bias\", \"features.6.block.3.1.running_mean\", \"features.6.block.3.1.running_var\", \"features.6.block.3.1.num_batches_tracked\", \"features.7.block.0.0.weight\", \"features.7.block.0.1.weight\", \"features.7.block.0.1.bias\", \"features.7.block.0.1.running_mean\", \"features.7.block.0.1.running_var\", \"features.7.block.0.1.num_batches_tracked\", \"features.7.block.1.0.weight\", \"features.7.block.1.1.weight\", \"features.7.block.1.1.bias\", \"features.7.block.1.1.running_mean\", \"features.7.block.1.1.running_var\", \"features.7.block.1.1.num_batches_tracked\", \"features.7.block.2.0.weight\", \"features.7.block.2.1.weight\", \"features.7.block.2.1.bias\", \"features.7.block.2.1.running_mean\", \"features.7.block.2.1.running_var\", \"features.7.block.2.1.num_batches_tracked\", \"features.8.block.0.0.weight\", \"features.8.block.0.1.weight\", \"features.8.block.0.1.bias\", \"features.8.block.0.1.running_mean\", \"features.8.block.0.1.running_var\", \"features.8.block.0.1.num_batches_tracked\", \"features.8.block.1.0.weight\", \"features.8.block.1.1.weight\", \"features.8.block.1.1.bias\", \"features.8.block.1.1.running_mean\", \"features.8.block.1.1.running_var\", \"features.8.block.1.1.num_batches_tracked\", \"features.8.block.2.0.weight\", \"features.8.block.2.1.weight\", \"features.8.block.2.1.bias\", \"features.8.block.2.1.running_mean\", \"features.8.block.2.1.running_var\", \"features.8.block.2.1.num_batches_tracked\", \"features.9.block.0.0.weight\", \"features.9.block.0.1.weight\", \"features.9.block.0.1.bias\", \"features.9.block.0.1.running_mean\", \"features.9.block.0.1.running_var\", \"features.9.block.0.1.num_batches_tracked\", \"features.9.block.1.0.weight\", \"features.9.block.1.1.weight\", \"features.9.block.1.1.bias\", \"features.9.block.1.1.running_mean\", \"features.9.block.1.1.running_var\", \"features.9.block.1.1.num_batches_tracked\", \"features.9.block.2.0.weight\", \"features.9.block.2.1.weight\", \"features.9.block.2.1.bias\", \"features.9.block.2.1.running_mean\", \"features.9.block.2.1.running_var\", \"features.9.block.2.1.num_batches_tracked\", \"features.10.block.0.0.weight\", \"features.10.block.0.1.weight\", \"features.10.block.0.1.bias\", \"features.10.block.0.1.running_mean\", \"features.10.block.0.1.running_var\", \"features.10.block.0.1.num_batches_tracked\", \"features.10.block.1.0.weight\", \"features.10.block.1.1.weight\", \"features.10.block.1.1.bias\", \"features.10.block.1.1.running_mean\", \"features.10.block.1.1.running_var\", \"features.10.block.1.1.num_batches_tracked\", \"features.10.block.2.0.weight\", \"features.10.block.2.1.weight\", \"features.10.block.2.1.bias\", \"features.10.block.2.1.running_mean\", \"features.10.block.2.1.running_var\", \"features.10.block.2.1.num_batches_tracked\", \"features.11.block.0.0.weight\", \"features.11.block.0.1.weight\", \"features.11.block.0.1.bias\", \"features.11.block.0.1.running_mean\", \"features.11.block.0.1.running_var\", \"features.11.block.0.1.num_batches_tracked\", \"features.11.block.1.0.weight\", \"features.11.block.1.1.weight\", \"features.11.block.1.1.bias\", \"features.11.block.1.1.running_mean\", \"features.11.block.1.1.running_var\", \"features.11.block.1.1.num_batches_tracked\", \"features.11.block.2.fc1.weight\", \"features.11.block.2.fc1.bias\", \"features.11.block.2.fc2.weight\", \"features.11.block.2.fc2.bias\", \"features.11.block.3.0.weight\", \"features.11.block.3.1.weight\", \"features.11.block.3.1.bias\", \"features.11.block.3.1.running_mean\", \"features.11.block.3.1.running_var\", \"features.11.block.3.1.num_batches_tracked\", \"features.12.block.0.0.weight\", \"features.12.block.0.1.weight\", \"features.12.block.0.1.bias\", \"features.12.block.0.1.running_mean\", \"features.12.block.0.1.running_var\", \"features.12.block.0.1.num_batches_tracked\", \"features.12.block.1.0.weight\", \"features.12.block.1.1.weight\", \"features.12.block.1.1.bias\", \"features.12.block.1.1.running_mean\", \"features.12.block.1.1.running_var\", \"features.12.block.1.1.num_batches_tracked\", \"features.12.block.2.fc1.weight\", \"features.12.block.2.fc1.bias\", \"features.12.block.2.fc2.weight\", \"features.12.block.2.fc2.bias\", \"features.12.block.3.0.weight\", \"features.12.block.3.1.weight\", \"features.12.block.3.1.bias\", \"features.12.block.3.1.running_mean\", \"features.12.block.3.1.running_var\", \"features.12.block.3.1.num_batches_tracked\", \"features.13.block.0.0.weight\", \"features.13.block.0.1.weight\", \"features.13.block.0.1.bias\", \"features.13.block.0.1.running_mean\", \"features.13.block.0.1.running_var\", \"features.13.block.0.1.num_batches_tracked\", \"features.13.block.1.0.weight\", \"features.13.block.1.1.weight\", \"features.13.block.1.1.bias\", \"features.13.block.1.1.running_mean\", \"features.13.block.1.1.running_var\", \"features.13.block.1.1.num_batches_tracked\", \"features.13.block.2.fc1.weight\", \"features.13.block.2.fc1.bias\", \"features.13.block.2.fc2.weight\", \"features.13.block.2.fc2.bias\", \"features.13.block.3.0.weight\", \"features.13.block.3.1.weight\", \"features.13.block.3.1.bias\", \"features.13.block.3.1.running_mean\", \"features.13.block.3.1.running_var\", \"features.13.block.3.1.num_batches_tracked\", \"features.14.block.0.0.weight\", \"features.14.block.0.1.weight\", \"features.14.block.0.1.bias\", \"features.14.block.0.1.running_mean\", \"features.14.block.0.1.running_var\", \"features.14.block.0.1.num_batches_tracked\", \"features.14.block.1.0.weight\", \"features.14.block.1.1.weight\", \"features.14.block.1.1.bias\", \"features.14.block.1.1.running_mean\", \"features.14.block.1.1.running_var\", \"features.14.block.1.1.num_batches_tracked\", \"features.14.block.2.fc1.weight\", \"features.14.block.2.fc1.bias\", \"features.14.block.2.fc2.weight\", \"features.14.block.2.fc2.bias\", \"features.14.block.3.0.weight\", \"features.14.block.3.1.weight\", \"features.14.block.3.1.bias\", \"features.14.block.3.1.running_mean\", \"features.14.block.3.1.running_var\", \"features.14.block.3.1.num_batches_tracked\", \"features.15.block.0.0.weight\", \"features.15.block.0.1.weight\", \"features.15.block.0.1.bias\", \"features.15.block.0.1.running_mean\", \"features.15.block.0.1.running_var\", \"features.15.block.0.1.num_batches_tracked\", \"features.15.block.1.0.weight\", \"features.15.block.1.1.weight\", \"features.15.block.1.1.bias\", \"features.15.block.1.1.running_mean\", \"features.15.block.1.1.running_var\", \"features.15.block.1.1.num_batches_tracked\", \"features.15.block.2.fc1.weight\", \"features.15.block.2.fc1.bias\", \"features.15.block.2.fc2.weight\", \"features.15.block.2.fc2.bias\", \"features.15.block.3.0.weight\", \"features.15.block.3.1.weight\", \"features.15.block.3.1.bias\", \"features.15.block.3.1.running_mean\", \"features.15.block.3.1.running_var\", \"features.15.block.3.1.num_batches_tracked\", \"features.16.0.weight\", \"features.16.1.weight\", \"features.16.1.bias\", \"features.16.1.running_mean\", \"features.16.1.running_var\", \"features.16.1.num_batches_tracked\", \"classifier.3.weight\", \"classifier.3.bias\", \"classifier.0.weight\", \"classifier.0.bias\". \n\tsize mismatch for features.0.0.weight: copying a param with shape torch.Size([16, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 3, 3, 3]).\n\tsize mismatch for features.0.1.weight: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.running_mean: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for features.0.1.running_var: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32])."
     ]
    }
   ],
   "source": [
    "model.load_state_dict(torch.load('mobilenet-v2-best-1.pt'))\n",
    "model.eval()\n",
    "test_acc = compute_accuracy(model, test_loader, device=DEVICE)\n",
    "print(f'Test accuracy: {test_acc:.2f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.cpu()\n",
    "unnormalizer = UnNormalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n",
    "class_dict = {0: 'airplane',\n",
    "              1: 'automobile',\n",
    "              2: 'bird',\n",
    "              3: 'cat',\n",
    "              4: 'deer',\n",
    "              5: 'dog',\n",
    "              6: 'frog',\n",
    "              7: 'horse',\n",
    "              8: 'ship',\n",
    "              9: 'truck'}\n",
    "\n",
    "show_examples(model=model, data_loader=test_loader, unnormalizer=unnormalizer, class_dict=class_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mat = compute_confusion_matrix(model=model, data_loader=test_loader, device=torch.device('cpu'))\n",
    "plot_confusion_matrix(mat, class_names=class_dict.values())\n",
    "plt.show()"
   ]
  }
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