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Created April 24, 2019 03:57
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Colab Example.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Colab Example.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/michael-iuzzolino/36b68227c2008118490d11b849c12c38/colab-example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"metadata": {
"id": "_lJv2_UQSpbn",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Check for Colab Environment"
]
},
{
"metadata": {
"id": "jcjJFVaEO1F3",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "03d2b152-4813-4f69-be1f-775382c7d310"
},
"cell_type": "code",
"source": [
"import os\n",
"COLAB_ENV = False\n",
"for key in list(os.environ.keys()):\n",
" if 'COLAB' in key:\n",
" COLAB_ENV = True\n",
" break\n",
"print(f\"Colab Environment Detected: {COLAB_ENV}\")"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Colab Environment Detected: True\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "SsRRYN9TUwDy",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Clone Git Repo"
]
},
{
"metadata": {
"id": "_Gv8GGhIPkNA",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 238
},
"outputId": "de325ee3-ec0d-469c-9b4f-7d13646e944a"
},
"cell_type": "code",
"source": [
"if COLAB_ENV:\n",
" # Set Paths\n",
" git_path = \"https://github.com/michael-iuzzolino/PyTorchTest.git\"\n",
" main_dir_path = git_path.split(os.path.sep)[-1].replace('.git', '')\n",
" requirements_path = f\"{main_dir_path}/requirements.txt\"\n",
" \n",
" # Clone, install requirements, and change to directory\n",
" !git clone $git_path\n",
" !pip install -q -r $requirements_path\n",
" os.chdir(main_dir_path)"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Cloning into 'PyTorchTest'...\n",
"remote: Enumerating objects: 23, done.\u001b[K\n",
"remote: Counting objects: 100% (23/23), done.\u001b[K\n",
"remote: Compressing objects: 100% (20/20), done.\u001b[K\n",
"remote: Total 23 (delta 6), reused 20 (delta 3), pack-reused 0\u001b[K\n",
"Unpacking objects: 100% (23/23), done.\n",
"\u001b[K 100% |████████████████████████████████| 12.9MB 3.0MB/s \n",
"\u001b[K 100% |████████████████████████████████| 13.9MB 3.4MB/s \n",
"\u001b[K 100% |████████████████████████████████| 25.4MB 1.5MB/s \n",
"\u001b[K 100% |████████████████████████████████| 61kB 30.1MB/s \n",
"\u001b[?25h Building wheel for torchfile (setup.py) ... \u001b[?25ldone\n",
"\u001b[31mdatascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
"\u001b[31malbumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.8 which is incompatible.\u001b[0m\n",
"\u001b[?25h"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "SNUsRz_ASzpe",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Imports"
]
},
{
"metadata": {
"id": "vOdr8dHzS4lc",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"import sys\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import torch\n",
"import torch.nn as nn\n",
"import torch.optim as optim\n",
"import torchvision\n",
"import torchvision.transforms\n",
"from torchvision.datasets import MNIST, CIFAR10\n",
"from torch.utils.data import DataLoader\n",
"import torchvision.utils"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "2L7RdkQ2Pr-C",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"import importlib\n",
"import ipynb.fs.full.Model as Model # use importlib.reload(Model) after changes to Model.ipynb"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "Oy0zMz4PTGpw",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Data Setup"
]
},
{
"metadata": {
"id": "fJgTEvStTimD",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"class CustomTransform:\n",
" def __call__(self, x):\n",
" \"\"\" Set values into range [-1, 1]\"\"\"\n",
" x = x*2 - 1\n",
" return x"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "O7UcYsr6THxk",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"transformations = torchvision.transforms.Compose([\n",
" torchvision.transforms.ToTensor(), # Note, ToTensor implicity converts [0, 255] uint8 -> [0, 1] float\n",
" CustomTransform()\n",
"])"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "345IEG_qTpY_",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"root_dir = 'datasets'\n",
"if not os.path.exists(root_dir):\n",
" os.mkdir(root_dir)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "OdDkltV4U__h",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "122a36c1-a474-4ecc-b196-8f00683ee884"
},
"cell_type": "code",
"source": [
"datasets = [MNIST, CIFAR10]\n",
"\n",
"train_src = datasets[1](root_dir, download=True, train=True, transform=transformations)"
],
"execution_count": 70,
"outputs": [
{
"output_type": "stream",
"text": [
"Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to datasets/cifar-10-python.tar.gz\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "ICJsy8Rmejrb",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "d0f20667-ab24-4262-87e6-478dc10a5fed"
},
"cell_type": "code",
"source": [
"train_src.train_data.shape"
],
"execution_count": 80,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(50000, 32, 32, 3)"
]
},
"metadata": {
"tags": []
},
"execution_count": 80
}
]
},
{
"metadata": {
"id": "RA5PiN1peeRi",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "5468a930-98db-450f-9dd0-18c06d8838e1"
},
"cell_type": "code",
"source": [
"data_dim = train_src.train_data.shape[1]\n",
"data_shape = train_src.train_data.shape\n",
"if len(data_shape) == 4:\n",
" data_c_channels = data_shape[-1]\n",
"else:\n",
" data_c_channels = 1\n",
"num_classes = len(np.unique(train_src.train_labels))\n",
"data_dim, data_c_channels, num_classes"
],
"execution_count": 81,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(32, 3, 10)"
]
},
"metadata": {
"tags": []
},
"execution_count": 81
}
]
},
{
"metadata": {
"id": "7-Rj-0XpT7hd",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"BATCH_SIZE = 512\n",
"train_loader = DataLoader(train_src, batch_size=BATCH_SIZE)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "tRhlI-K_UANI",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## Check"
]
},
{
"metadata": {
"id": "BopsvKNpUEwO",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 239
},
"outputId": "72195ad1-c5be-4d31-ef21-895c37bbdd73"
},
"cell_type": "code",
"source": [
"for X, y in train_loader:\n",
" break\n",
"\n",
"grid_img = torchvision.utils.make_grid(X[:32], normalize=True, pad_value=0.75, padding=5)\n",
"plt.imshow(grid_img.permute(1,2,0))"
],
"execution_count": 83,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7fa092453a58>"
]
},
"metadata": {
"tags": []
},
"execution_count": 83
},
{
"output_type": "display_data",
"data": {
"image/png": 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RSVQZHVeY1LWLaYHt+qRhyu3tHe7v7dNuttjcqPLd/d4S7U4HyzAxtXo496VmkRJ6p1ag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8hz/of/7p/zj7st+mvfZn54h9a+Y1BdaBdcjuHWjet45x6mVpbSSmaTKflc0E6cI5ZezDRTDEaH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\nxhhjfEQxngDGGGOMMT6i+P8B3swwHOibRxYAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "cNi7ez-KS1nl",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Model Setup"
]
},
{
"metadata": {
"id": "WD-xcPraVVKU",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"GPU_num = 0\n",
"DEVICE = torch.device(f'cuda:{GPU_num}' if torch.cuda.is_available() else 'cpu')"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "cf7mMLBkQoxp",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "df87b8c0-022a-4ce1-8ac3-c1108e272039"
},
"cell_type": "code",
"source": [
"model = Model.CNN(data_dim, data_c_channels, num_classes)\n",
"\n",
"print(f\"Placing model onto {DEVICE}\")\n",
"model = model.to(DEVICE)"
],
"execution_count": 85,
"outputs": [
{
"output_type": "stream",
"text": [
"Placing model onto cuda:0\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "wF7e-ioDRmds",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"LEARNING_RATE = 0.001\n",
"optimizer = optim.Adam(model.parameters(), lr=LEARNING_RATE)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "EQL6qkXzZuW2",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"criterion = nn.CrossEntropyLoss()"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "C0s-fsX_aAhU",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Train"
]
},
{
"metadata": {
"id": "YdQjwOhSaBo3",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
},
"outputId": "3437845f-7da8-40c1-a57c-b2ec30c63e57"
},
"cell_type": "code",
"source": [
"N_EPOCHS = 100\n",
"epoch_loss = []\n",
"\n",
"try:\n",
" for epoch_i in range(N_EPOCHS):\n",
" batch_loss = 0\n",
" for batch_i, (X, y) in enumerate(train_loader):\n",
" X = X.to(DEVICE)\n",
" y = y.to(DEVICE)\n",
"\n",
" optimizer.zero_grad() \n",
" net_out = model(X)\n",
" loss = criterion(net_out, y)\n",
" loss.backward() # Accumulate gradients\n",
" optimizer.step() # Apply gradients to parameters\n",
"\n",
" batch_loss += loss.detach()\n",
"\n",
" sys.stdout.write(f'\\rEpoch {epoch_i+1}/{N_EPOCHS} -- Batch {batch_i+1}/{len(train_loader)} -- Loss: {loss.item():0.4f}')\n",
" sys.stdout.flush()\n",
" epoch_loss.append(batch_loss) \n",
"except KeyboardInterrupt:\n",
" print(\"\\nEnding Early.\")"
],
"execution_count": 95,
"outputs": [
{
"output_type": "stream",
"text": [
"Epoch 11/100 -- Batch 62/98 -- Loss: 0.4076\n",
"Ending Early.\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "xqjZ8Zy1c3jQ",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Training Curve"
]
},
{
"metadata": {
"id": "1Xbvb9-AaXb4",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 286
},
"outputId": "631ae551-1119-4b73-d974-2d8eb7cb3083"
},
"cell_type": "code",
"source": [
"plt.plot(epoch_loss)"
],
"execution_count": 96,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fa09264fbe0>]"
]
},
"metadata": {
"tags": []
},
"execution_count": 96
},
{
"output_type": "display_data",
"data": {
"image/png": 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Kfjcwwcw6mZkBGcAWYBlwjW+bm4C3WxZRWsLM+OboPiy96yLuvjiNlTsb5+//+89bNX8v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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "H7bIl6qNc6cI",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Vis Weights"
]
},
{
"metadata": {
"id": "TSHrO9HDcUAe",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"def vis_weights(layer_i, filter_i=0):\n",
" found_weight = False\n",
" for key, weights in model.named_parameters():\n",
" if key == f'conv_{layer_i+1}.weight':\n",
" found_weight = True\n",
" break\n",
" if not found_weight:\n",
" print(\"Invalid selection.\")\n",
" return\n",
" \n",
" if weights.shape[1] not in [1,3]:\n",
" weights = weights[:,filter_i:filter_i+1]\n",
" weights_img = torchvision.utils.make_grid(weights, normalize=True).cpu().detach()\n",
" \n",
" fig, ax = plt.subplots(figsize=(12,12))\n",
" ax.imshow(weights_img.permute(1,2,0))"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "zzDBjkK7cohl",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 398
},
"outputId": "85cb448c-4a04-4c38-b7b1-16f86c5b4892"
},
"cell_type": "code",
"source": [
"vis_weights(layer_i=0)"
],
"execution_count": 98,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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AgGgxhgEAABAtxjAAAACitc9cjrnhkFKu/OePH23O1hi2xNU9ccmZ5uy7l1d3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\n",
"text/plain": [
"<Figure size 864x864 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "bRNngFz0fCN-",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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