Colab_04_13_Cifar10_Pytorch_CNN.ipynb

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Last test at Colab : 2022-04-26\n","\n","## 한글\n","\n","\n","\n","*   이론 :  https://wikidocs.net/164365 and https://wikidocs.net/164823  and https://wikidocs.net/164835 \n","*   구현 : https://wikidocs.net/165034  and https://wikidocs.net/164499 \n","\n","\n","## English\n","\n","\n","*   Theory : https://wikidocs.net/165403 and https://wikidocs.net/165405  and https://wikidocs.net/165406 \n","*   Implementation : https://wikidocs.net/165443  and https://wikidocs.net/165444 \n","\n"],"metadata":{"id":"J466PR95VW-P"}},{"cell_type":"markdown","source":["### Below part is same with FFN."],"metadata":{"id":"NsEhOdUhdFkO"}},{"cell_type":"code","source":["import torch\n","import torch.nn as nn\n","import torch.nn.functional as F\n","import torchvision\n","import torchvision.transforms as transforms\n","import matplotlib.pyplot as plt\n","import numpy as np\n","\n","# Device configuration\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","\n","# Hyper-parameters \n","hidden_size = 256 \n","num_classes = 10\n","EPOCHS = 5\n","batch_size = 100\n","learning_rate = 0.001"],"metadata":{"id":"zaiFSvy3gGrz","executionInfo":{"status":"ok","timestamp":1650954622125,"user_tz":-540,"elapsed":363,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}}},"execution_count":10,"outputs":[]},{"cell_type":"markdown","source":["In the case of Pytorch, CIFAR10 data can be easily loaded. Just change the dataset name as in the code below."],"metadata":{"id":"a1cFW64VgJ3h"}},{"cell_type":"code","source":["# CIFAR10 dataset \n","train_dataset = torchvision.datasets.CIFAR10(root='./data', \n","                                           train=True, \n","                                           transform=transforms.ToTensor(),  \n","                                           download=True)\n","\n","test_dataset = torchvision.datasets.CIFAR10(root='./data', \n","                                          train=False, \n","                                          transform=transforms.ToTensor())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"K_OQqtUFgMrp","executionInfo":{"status":"ok","timestamp":1650954623669,"user_tz":-540,"elapsed":1159,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}},"outputId":"21542c66-8aeb-4869-bd5a-111f97afa130"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Files already downloaded and verified\n"]}]},{"cell_type":"markdown","source":["### Below part is same with FFN."],"metadata":{"id":"QQZFpBuigW2g"}},{"cell_type":"code","source":["# Data loader\n","train_ds = torch.utils.data.DataLoader(dataset=train_dataset,\n","                                       batch_size=batch_size, \n","                                       shuffle=True)\n","\n","test_ds = torch.utils.data.DataLoader(dataset=test_dataset,\n","                                      batch_size=batch_size, \n","                                      shuffle=False)"],"metadata":{"id":"_1UGLYVVgXza","executionInfo":{"status":"ok","timestamp":1650954623670,"user_tz":-540,"elapsed":3,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","execution_count":13,"metadata":{"collapsed":true,"id":"eK3j7lAR2uQk","executionInfo":{"status":"ok","timestamp":1650954623670,"user_tz":-540,"elapsed":3,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}}},"outputs":[],"source":["# Specify the image classes\n","classes = [\"airplane\", \"automobile\", \"bird\", \"cat\", \"deer\", \"dog\", \"frog\",\n","          \"horse\", \"ship\", \"truck\"]\n","\n","# Helper function to display the image\n","def imshow(img):\n","    # Un-normalize and display the image\n","    img = img / 2 + 0.5\n","    # Convert from tensor image\n","    plt.imshow(np.transpose(img, (1,2,0)))"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":377},"id":"QWn3aHjg2uQk","executionInfo":{"status":"ok","timestamp":1650954624597,"user_tz":-540,"elapsed":929,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}},"outputId":"efeb7649-6e30-4c5b-ad4e-cfd1e4501348"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x432 with 9 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\n"},"metadata":{}}],"source":["# Get one batch of training images\n","dataiter = iter(test_ds)\n","images, labels = dataiter.next()\n","# Convert images to numpy for display\n","images = images.numpy()\n","\n","# Plot the images in the batch\n","fig = plt.figure(figsize=(6, 6))\n","\n","# Display 20 images\n","for idx in np.arange(9):\n","    ax = fig.add_subplot(3, 9/3, idx+1, xticks=[], yticks=[])\n","    imshow(images[idx])\n","    ax.set_title(classes[labels[idx]])"]},{"cell_type":"markdown","source":["In the case of CIFAR10, since there are 3 input channels, the number of input channels can be changed in parallel.\n","\n","This is the part to be careful about when dealing with Pytorch. In the case of Pytorch, the number of input layers must be specified in the linear layer that comes after pooling. You can find out by printing out the structure of the created network, so you only need to pay attention to the benefits."],"metadata":{"id":"HBnCdZBzgcca"}},{"cell_type":"code","source":["# 3-Layers Convolution neural network with one hidden layer\n","class CNN_Model(nn.Module):\n","    def __init__(self):\n","        super(CNN_Model, self).__init__()\n","        \n","        # Convolution 1\n","        self.conv1 = nn.Conv2d(in_channels=3, out_channels=64, kernel_size=3, stride=1, padding=0)\n","        self.relu1 = nn.ReLU()\n","        \n","        # Max pool 1\n","        self.maxpool2d1 = nn.MaxPool2d(kernel_size=2)\n","     \n","        # Convolution 2\n","        self.conv2 = nn.Conv2d(in_channels=64, out_channels=128, kernel_size=3, stride=1, padding=0)\n","        self.relu2 = nn.ReLU()\n","        \n","        # Max pool 2\n","        self.maxpool2d2 = nn.MaxPool2d(kernel_size=2)\n","        \n","        # Convolution 3\n","        self.conv3 = nn.Conv2d(in_channels=128, out_channels=256, kernel_size=3, stride=1, padding=0)\n","        self.relu3 = nn.ReLU()\n","        \n","        # Max pool 3\n","        self.maxpool2d3 = nn.MaxPool2d(kernel_size=2)\n","        \n","        # Fully connected 1 (readout)\n","        self.d1 = nn.Linear(256 * 2 * 2, 256) \n","        self.d2 = nn.Dropout(0.2)\n","        self.d3 = nn.Linear(256, num_classes) \n","\n","    def forward(self, x):\n","        # Convolution 1\n","        x = self.conv1(x)\n","        x = self.relu1(x)\n","        \n","        # Max pool 1\n","        x = self.maxpool2d1(x)\n","        \n","        # Convolution 2 \n","        x = self.conv2(x)\n","        x = self.relu2(x)\n","        \n","        # Max pool 2 \n","        x = self.maxpool2d2(x)\n","        \n","        # Convolution 3\n","        x = self.conv3(x)\n","        x = self.relu3(x)\n","        \n","        # Max pool 3\n","        x = self.maxpool2d3(x)\n","        \n","        # Resize\n","        # Original size: (100, 256, 2, 2)\n","        # out.size(0): 100\n","        # New out size: (100, 256*2*2)\n","        x = x.view(x.size(0), -1)\n","\n","        # Linear function (readout)\n","        x = self.d1(x)\n","        x = self.d2(x)\n","        out = self.d3(x)\n","        return out"],"metadata":{"id":"KBZwWFtogisC","executionInfo":{"status":"ok","timestamp":1650954624598,"user_tz":-540,"elapsed":5,"user":{"displayName":"Richard Minsoo Go","userId":"09628967547080180869"}}},"execution_count":15,"outputs":[]},{"cell_type":"markdown","source":["### Below part is same with FFN."],"metadata":{"id":"jtRzHmxzgq0-"}},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["2837b49f6a7d45fd9e45bb581b83ad5b","87bd90328d6c49aa8e919da84b9bc706","300eb94620c0462d828ed4309686b01e","6c20d44221af4472856b31f3a1669a49","29c6dfaa8be54234bbe234040286de4b","7a00afe57f9941058c4b85ba679a73c9","754320b97791482a8361e0beeac1d6bb","126b0631babe450584ddcd5c89bcd18a","a12ef05a0c9e4fa5b26bc1c9a154a54f","4df3c813f33146ef9983490f411925d8","6d745bd6c3354f0ebe21ceec0a9b2181","ed2eea0035aa4a14aa0d633471ffcfde","e0abe84351334da6858484cd25061ad9","cfa244e59fae46fe827ccd7280f2f90d","094d1cf92e7148ed8501cb13569fe6a6","a3e870daf4894599b8b815fc9f94a93e","0debb963194b40b290de72f85a14a15e","0b3cc36abcee4f409e8a04da4d3d763a","5e69c5436cf143b0b61d7cc627c8a22e","d6e9fada00e7479489e2dec8f11b45fe","ad156c73fc564d89811faddd292ec6f2","246567bd3737454fb2adb3d35ff03b1d","c9da018f01eb4ca1a173e7909a0514c3","d4e62e8496c84456baeff50000e9c591","a88340fc27ca4cc3aeb593d4dd3a4a3d","be5178bd4b0b4646a8f625202c016c86","1721ebd184f44dde939a441884f558e1","df8cf73ec8274a199b520587b8e16eb4","dafe1a46f61644d18f84944ac172aab0","11d190e902ad4661aeb3bce23b247346","936fcb39e8714e4fa0ab3daaae8ba10a","ac06310448f847469b42285a695dfa53","311af92cce9842cdaedaf56024b8e1e2","d1893d2f0a2645ef9e8c724db93ee3b6","c195f6fa98954344a463ba2df1618039","3f3c7e012c804cca9b2e7e07aa03b1fd","7a786466cf4142db85692b053e3312de","0cbf452761f344279b93e514b7904a53","0bbe2049e6f74660ab7e5e56f4495731","0a12505daa8549a8954c7a88460645c9","4c28c76d358241928573490ae861e814","c631b85229714b78a9da3f5e22c144a3","40f65115b9234772af610df52c6e67d8","2d98d2cd4cd0464db048e5388b5ad6ea","bc1397543a9a443cbe2715861f185108","b1c913355d6d4128971bf9c447819282","2d15f13e4f9b4a21950bfde4a6620ca1","7512b48aa1584accb4f31b3428feda41","f45b770bd4434bd495d7ddac2220d33c","eb74e4e761c54c2ea375875b9ed5fa09","497ecaa4915f4eac9ae17f204bae89ba","74f21b7c09f94c3e8f9a52878d7d441a","ab48edadda41443398e0a86006ffd5ee","2bbf7ce7a6ad4ef2b5f7c069c0da09a7","16173cc7c21949f48d6808a004bdf58d","39acd84099044545b57fef8e0f50b14a","031eb5ba85ea47819f5f9934e1b1db3c","78e90826df5a47728054d60acd823a8d","087447ed654d4cc086a3984124b1631b","261ce4ec62bb425eaf361d3e69d1c113","07e367f5210e4168987ee73cab92db54","a320b826cda14c18b2a28b352bf8efef","eb8ed77b18d54d77b77b781d478bf526","1b22853e58c048bbaaca0b011934fe10","5ee413b5c79e45c8b5fe4492cdaec4b5","358f3709c87b4afd985d8ef917ca3bf7","d2f14a5aef8542138220bc2f396f738d","92bd7980a18d471a9768aefdf84da333","e42c93ceebeb4601a76879cb73fdfb46","22586a09fee1496899b4458bf34f99d9","a5b9bccbd59546f9a70ca17e2af0d4be","fb4cbd958d29420b8e62a91cec28ad50","f4075d9024ce45c7994d455a03c3c7a2","996878483fca45a9892d8836ae5804b6","7e4441cde24740e695633946a989ffce","8d4aa47adabf40559fe9dc1e70a04b89","95935901e2cc4f52908ec21007579a6f","9b33b71a18b8415e920297b61fad9194","363bf9c7a97d46779bfc9f6bf7dcaf59","7fae364c6bc04ffd91c0402a199fdc2d","59aa5ac62ffb408bb2ca0c098f0295e8","ccca55d1ccce4f7e9148f514bbeae8b2","07f6efc6f2c44cf1906cbf8679109ff2","588cff38c0334bc8971f499fb1848d83","960680297b8349b79dd2be493f5ac0ac","f17605cd5e71460a96c2e30635009d31","692faa6aa0a243a68b13000f496021d8","6fb68e3e726e481f9efcea5af5f3f34f","1649cd414dc04d0aa9879c8fa9d35fe7","41b699d070df48eb99b319f036cbbb78","d27bd1c62a7441e78eabdc4228db5fdb","910e91948dfc4683865c896070716bf4","a0b2a22e04954e7d980d23e0cca89b38","080cc398b3eb48aa920f21aedf18d857","f2bc867159b045a689e4e54c5f45757f","c9bb8d57c5e442ee98544e0305dd2dc8","8323e8b84ca340ab9929d534c3119f04","07d3d77e2c7244db92d2d4f340f05d26","77551858c09e4261b586eb62dab9a097","cd8efef546c44b22bb8dfa1a0df63ec0","52360b81b9354043b0c78dca3a9341fc","aaa0b2ba2cff4d8bbd752b3f3be6e7fd","6ae39010536a4e79a728ead1d9c82bb2","a7098036c41b4fd58cc4ffaa004be8d0","3f41ea3e1cb24bccb3a47bc253aba53f","6d3317bfeb1d45e7988ca9c5924a0b13","a0385a29d62445cfa083a28ae9948186","30f92d0be2d342f6bf2979cd3685249c","adf988a40ca74c4a80e884f3cacdb786","8bb439c2b48b4daeba85765ec50ae787","8e9a9ebf59d8430287fc650a500669e8","becffc2f905f432a8674494e82452a89","d50e8a9f274d4a629960d757a3e3c20e","c1b60dfe7c28449490e705e80e90783b","4119baf9598c47e4acac5137586f7b0f","a8f2560195274d89bbe0e26c13a635bd","45fd5ece947c4c82960471a5180ee719","64ef0c28b0e64fe98cf7ff2e1d592534","0d3c50cf910842919cc8dff6b3ac37da","a8688a70d3bd4c23904fbc9a5c951e9f","8d09f94e2c0d43108a09c97b61c01129","94ff656540f947d1b56341bb6c7f0756","4c577b6fb0714df88f10a23f4a5b19a3","7450f474bb3540598a01e48bcb86e9e7","ff9607da9b0a427a95aed8c90f63f27a","6e4e715673784396b144338a0f064d0e","778f88e17e6a4df085e7fb47ffbfc228","1b8d83cb14ae43a6b891ff047dbc577e","4202d5df401146f2846611e87483789b","b9cb37d30b984be59b1740bb042f28d6","c2999aaf77a74ae2a3393012ca2c0a6b","335a021e782d45feb3d14874ab2fb41d","dab547f1ecb24050b89f82264de9481b","bd40d83d04534024b13634fc5c6bd380","ce43373704764632a047a990a1a4671e","bb69132c42a4486c9c3d5b0aff010c75","9f91a1c80b754b148cfcaf71981b84b7","baa2f646ff7b46ab9a999b0e805d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0/100 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"39acd84099044545b57fef8e0f50b14a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Train Epoch 4:   0%|          | 0/500 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d2f14a5aef8542138220bc2f396f738d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Test_ Epoch 4:   0%|          | 0/100 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9b33b71a18b8415e920297b61fad9194"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Train Epoch 5:   0%|          | 0/500 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1649cd414dc04d0aa9879c8fa9d35fe7"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Test_ Epoch 5:   0%| 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labels)\n","    loss_val = loss.item()\n","\n","    # Backward and optimize\n","    optimizer.zero_grad()\n","    loss.backward()\n","    optimizer.step()\n","\n","    # Pytorch need a manual coding for accuracy\n","    # max returns (value ,index)\n","    _, predicted = torch.max(outputs.data, 1)           \n","    n_samples = labels.size(0)\n","    n_correct = (predicted == labels).sum().item()\n","    acc = 100.0 * n_correct / n_samples\n","    \n","    return loss_val, acc\n","\n","def test_step(model, images, labels):\n","    model.eval()\n","    # origin shape: [100, 1, 28, 28]\n","    images = images.to(device)\n","    labels = labels.to(device)\n","\n","    # Forward pass\n","    outputs = model(images)\n","    loss = criterion(outputs, labels)\n","    loss_val = loss.item()\n","\n","    # Pytorch need a manual coding for accuracy\n","    # max returns (value ,index)\n","    _, predicted = torch.max(outputs.data, 1)           \n","    n_samples = labels.size(0)\n","    n_correct = (predicted == labels).sum().item()\n","    acc = 100.0 * n_correct / n_samples\n","    \n","    return loss_val, acc\n","\n","from tqdm import tqdm, tqdm_notebook, trange\n","\n","for epoch in range(EPOCHS):\n","    \n","    with tqdm_notebook(total=len(train_ds), desc=f\"Train Epoch {epoch+1}\") as pbar:    \n","        train_losses = []\n","        train_accuracies = []\n","        \n","        for i, (images, labels) in enumerate(train_ds):\n","         \n","            loss_val, acc = train_step(model, images, labels)\n","            \n","            train_losses.append(loss_val)\n","            train_accuracies.append(acc)\n","            \n","            pbar.update(1)\n","            pbar.set_postfix_str(f\"Loss: {loss_val:.4f} ({np.mean(train_losses):.4f}) Acc: {acc:.3f} ({np.mean(train_accuracies):.3f})\")\n","\n","\n","    # Test the model\n","    # In test phase, we don't need to compute gradients (for memory efficiency)\n","    with torch.no_grad():\n","        \n","        with tqdm_notebook(total=len(test_ds), desc=f\"Test_ Epoch {epoch+1}\") as pbar:    \n","            test_losses = []\n","            test_accuracies = []\n","\n","            for images, labels in test_ds:\n","                loss_val, acc = test_step(model, images, labels)\n","\n","                test_losses.append(loss_val)\n","                test_accuracies.append(acc)\n","\n","                pbar.update(1)\n","                pbar.set_postfix_str(f\"Loss: {loss_val:.4f} ({np.mean(test_losses):.4f}) Acc: {acc:.3f} ({np.mean(test_accuracies):.3f})\")\n","            \n"]}]}