Chapter19 - Pytorch/04. Datasets và DataLoaders.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nguồn:\n",
    "https://pytorch.org/tutorials/beginner/basics/data_tutorial.html\n",
    "\n",
    "# Nội dung chính\n",
    "1. Loading a Dataset\n",
    "2. Iterating and Visualizing the Dataset\n",
    "3. Creating a Custom Dataset for your files\n",
    "4. Preparing your data for training with DataLoaders"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Code để xử lý các mẫu dữ liệu có thể lộn xộn và khó bảo trì; Pytorch cung cấp 2 class chính giúp chúng ta trong việc pre-loader dataset là: **torch.utils.data.Dataset** và **torch.utils.data.Dataloader**.\n",
    "\n",
    "**Dataset** lưu trữ các mẫu và label tương ứng, và **Dataloader** tạo iterator quanh Dataset để dễ dàng truy xuất vào các mẫu dữ liệu.\n",
    "\n",
    "Thư viện miền PyTorch cung cấp một số bộ dữ liệu được tải sẵn (chẳng hạn như FashionMNIST) phân lớp torch.utils.data.Dataset và triển khai các chức năng dành riêng cho dữ liệu cụ thể.  Chúng có thể được sử dụng để tạo mẫu và chuẩn mô hình của bạn. Bạn có thể tìm thấy chúng tại: <a href=\"https://pytorch.org/docs/stable/torchvision/datasets.html\">Image Datasets</a>, <a href=\"https://pytorch.org/text/stable/datasets.html\">Text Datasets</a>, <a href=\"https://pytorch.org/audio/stable/datasets.html\">Audio Datasets</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Loading a Dataset\n",
    "Ở phần này, chúng ta sẽ tìm hiểu làm thế nào để load bộ dữ liệu Fashion-MNIST từ **TorchVision**. Fashion-MNIST là một bộ dữ liệu của Zalado bao gồm 60000 mẫu training và 10000 mẫu testing. Với mỗi mẫu là một ảnh xám 28x28 và có 10 nhãn.\n",
    "\n",
    "Chúng ta load bộ dữ liệu FashionMNIST với các tham số sau:\n",
    "* *root* là đường dẫn để lưu trữ dữ liệu train/test\n",
    "* *train* chỉ định tập dữ liệu train hoặc test\n",
    "* *download=True* Tải dữ liệu từ internet nếu nó không khả dụng tại *root*\n",
    "* *transform* và *target_transform* chuyển đổi các đặc trưng và nhaxn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch.utils.data import Dataset\n",
    "from torchvision import datasets\n",
    "from torchvision.transforms import ToTensor, Lambda\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "training_data = datasets.FashionMNIST(\n",
    "    root=\"./data\",\n",
    "    train=True,\n",
    "    download=True,\n",
    "    transform=ToTensor()\n",
    ")\n",
    "\n",
    "test_data = datasets.FashionMNIST(\n",
    "    root=\"./data\",\n",
    "    train=False,\n",
    "    download=True,\n",
    "    transform=ToTensor()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Iterating and Visualizing the Dataset\n",
    "Chúng ta có thể index **Datasets** như một list: **training_data[index]**. Chúng ta sử dụng **matplotlib** để mô phỏng một số mẫu trong tập training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Created with matplotlib (https://matplotlib.org/) -->\n",
       "<svg height=\"464.398125pt\" version=\"1.1\" viewBox=\"0 0 457.411765 464.398125\" width=\"457.411765pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-03-27T14:46:21.487095</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 464.398125 \n",
       "L 457.411765 464.398125 \n",
       "L 457.411765 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g clip-path=\"url(#pf7d204b665)\">\n",
       "    <image height=\"128\" id=\"imagec90d058242\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"7.2\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-22.224007\"/>\n",
       "   </g>\n",
       "   <g id=\"text_1\">\n",
       "    <!-- Sandal -->\n",
       "    <g transform=\"translate(50.711691 16.318125)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 53.515625 70.515625 \n",
       "L 53.515625 60.890625 \n",
       "Q 47.90625 63.578125 42.921875 64.890625 \n",
       "Q 37.9375 66.21875 33.296875 66.21875 \n",
       "Q 25.25 66.21875 20.875 63.09375 \n",
       "Q 16.5 59.96875 16.5 54.203125 \n",
       "Q 16.5 49.359375 19.40625 46.890625 \n",
       "Q 22.3125 44.4375 30.421875 42.921875 \n",
       "L 36.375 41.703125 \n",
       "Q 47.40625 39.59375 52.65625 34.296875 \n",
       "Q 57.90625 29 57.90625 20.125 \n",
       "Q 57.90625 9.515625 50.796875 4.046875 \n",
       "Q 43.703125 -1.421875 29.984375 -1.421875 \n",
       "Q 24.8125 -1.421875 18.96875 -0.25 \n",
       "Q 13.140625 0.921875 6.890625 3.21875 \n",
       "L 6.890625 13.375 \n",
       "Q 12.890625 10.015625 18.65625 8.296875 \n",
       "Q 24.421875 6.59375 29.984375 6.59375 \n",
       "Q 38.421875 6.59375 43.015625 9.90625 \n",
       "Q 47.609375 13.234375 47.609375 19.390625 \n",
       "Q 47.609375 24.75 44.3125 27.78125 \n",
       "Q 41.015625 30.8125 33.5 32.328125 \n",
       "L 27.484375 33.5 \n",
       "Q 16.453125 35.6875 11.515625 40.375 \n",
       "Q 6.59375 45.0625 6.59375 53.421875 \n",
       "Q 6.59375 63.09375 13.40625 68.65625 \n",
       "Q 20.21875 74.21875 32.171875 74.21875 \n",
       "Q 37.3125 74.21875 42.625 73.28125 \n",
       "Q 47.953125 72.359375 53.515625 70.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-83\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-108\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-83\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "     <use x=\"188.134766\" xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"251.611328\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"312.890625\" xlink:href=\"#DejaVuSans-108\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_2\">\n",
       "   <g clip-path=\"url(#pd45807b7be)\">\n",
       "    <image height=\"128\" id=\"image9c29740b56\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"164.752941\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-22.224007\"/>\n",
       "   </g>\n",
       "   <g id=\"text_2\">\n",
       "    <!-- Sneaker -->\n",
       "    <g transform=\"translate(204.310257 16.318125)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "      <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "      <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-83\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "     <use x=\"126.855469\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "     <use x=\"188.378906\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"249.658203\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "     <use x=\"303.943359\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "     <use x=\"365.466797\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_3\">\n",
       "   <g clip-path=\"url(#p2f66304809)\">\n",
       "    <image height=\"128\" id=\"image66395d0cad\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"322.305882\" xlink:href=\"data:image/png;base64,\n",
       "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAYAAADDPmHLAAAI7klEQVR4nO2dSYyNaxCG65jbTJtao42RNsTQ5lkEEcOGjYglOxESFh1iZ8FCYmVjQSys0G1uJGIWYop5aPMc8zyeu663Xs657v/3lVQ9u7dS5/ynO5Xvr9RXX30ZEclKDVG3bl1j+/btW009/q+kQYMGxvb58+cae36tGntS8FcSAeCcCADnRAA4JyMJJYHz5s0ztjlz5ij98+dP4zNz5kxje/XqldIsefzx44fSderUMT7ZbPa3+ldkMpnfahGR79+/5/TB38jYs2ePsTVq1EjpVatWGZ/t27fn/O58iBXAOREAzokAcI59cf4hrHhRu3ZtpXv37m18iouLjQ1zgHyKRV+/fs3p83/TvHlzY2vfvr2xYe7QuXPnlH5RrADuiQBwTgSAcyIAnJNYEtiuXTtjw8SQJYrdunUztosXLyo9YcKEnJ+rX7++8Xn69KnSBw4cMD4lJSXGNnToUKVbtWplfHbv3q30+/fvjc+TJ0+UHjVqlPFhieHr16+VjiQwSI0IAOdEADgnsRygSZMmxlavXj2l2aYO2wxauHCh0uwdWFVVpXSLFi2Mz44dO5Res2aN8WHs2rVL6SFDhhif8vJypdnfdu3aNaVZnsA2yBo2bKh0y5Ytf/1j/yOxAjgnAsA5EQDOiQBwTmJJYGFhobFh8vLu3TvjgwmPiEhBQYHSrNtm4MCBSuMOoohNDNlu5PPnz42tS5cuSrNi1bNnz5Tu0KGD8cHdUFYI27Ztm7Fh4evRo0fGJyliBXBOBIBzIgCck1gOUFFRYWwvX75UuqioyPj06dPH2I4dO5bTp6ysTOkXL14YH8wBMLcQsR24IiI9evRQunv37sbn1q1bSn/58sX4YF6AhTERkevXrxvbhQsXlD5y5IjxSYpYAZwTAeCcCADnRAA4J7EkcPbs2caGu2ilpaXG5/Hjx8aGRZ6TJ08an3yKJW/fvlWa7Vhi942ILdh8/PjR+GBxihW0sDjVq1cv4zNu3Dhjw44k1u2EHUl/SqwAzokAcE4EgHMiAJyTWBLIWpuwWsaSGbZD2LZtW6WxMiciUl1drTQ7P1irlo5vNkOAfQ4reOxzuT4jYpNAtmO6ZcsWY8Nd1NgNDFIjAsA5EQDOSSwHYF07WHhhZ+FZDlBZWak0G6Z46NAhpc+dO2d8NmzYoDRrr757966xXbp0SWnWSbR69Wql9+/fb3w2bdqk9JgxY4wPKw5hGzz7vyVFrADOiQBwTgSAcyIAnJNYEvjw4UNjw101PK8vIjJy5Ehja926tdKsJWrZsmVKT5o0yfhg8jh37lzjg8UqEZHLly/n/O6bN28qPXbsWOODw57we0X434YtYTdu3DA+SRErgHMiAJwTAeCcxHIA9i7L54gVA9u52efwHcxarvE8/qdPn4wP2+hp2rSp0qx1vHHjxkofP37c+OBmEGuLHzRokLHduXNH6VOnThmfpIgVwDkRAM6JAHBOBIBzEksC2a7W8uXLlWbn9/AMvYhNzNgQSiwWsUQNd/8wuROxreMiNnlkwxyxgIQ3iDDYRHM23Apb3q9evWp8jh49mvN5+RArgHMiAJwTAeCcxHIAVqzAdz4OgRbhhRA8a8+OZu3du1fprl27Gh/s9rl9+7bxYTkAPp8dH8P3Mh5nExHZuXOn0qxYxY7GnTlzRmm2iZQUsQI4JwLAOREAzokAcE5iSeCVK1eMDYcr4S6XCD9Shcnj/fv3jQ8OeMTbOURE9u3bpzRLFHGQlYjIiRMnlH7z5o3x6dmzp9I4mVxEpE2bNkqzrin2/GnTpinNOqmSIlYA50QAOCcCwDkRAM5JLAlkO33YJrZ+/XrjwxIjPEM3ePBg49O/f3+l2QwB3GmcP3++8bl3756x9evXT+np06cbH6wqsmnl+Hdg9VJEZOXKlcaGu6FYGUySWAGcEwHgnAgA5ySWAzCwOMO6dvr27WtsWPhgRSY8Q8+mdeNuICsosQIS5jMPHjwwPjgTiXVE4XyEiRMnGh+Wg7AuobSIFcA5EQDOiQBwTgSAc1JNAnHqdceOHY0PnrETsa1TeF5exF4jw+7uxXZydvULA69xYb8br43DgVQidrgTax0fMGCAsbHCV1rECuCcCADnRAA4J9UcADcx2MBHBnbudOrUyfisW7dOaZxFICJSVVWlNJszwAYxYw4wevRo44O3mODtKCIip0+fVrqkpMT4sOIYGzqZFrECOCcCwDkRAM6JAHBOqkkgtlOzJIy1ReOASdY6jkkYOz+HAxZZ9xG7Sg7P9LHkFYtV7A5gPPeYzWaNDzsbyM4rpkWsAM6JAHBOBIBzUs0BNm/erHQ+Z/FF7DWs7FYPLM6wQhB2++DsHfYsEZHz588rvWjRIuOD8wHY+x0HYbMrcNmATTyaliaxAjgnAsA5EQDOiQBwTqpJIBZiiouLjU9BQYGx4W4guxIOhz6yYk2zZs2UZuf82QRx/C68gpb5sPbyJUuWKL148WLjM3XqVGPbunWrsaVFrADOiQBwTgSAcyIAnJNqEohn6EtLS40Pq46hjV3JtmLFCqVZezW2VuEuo4g9Yyhir3/BgVAi9kwfq2jiXAFWLWSt4thyniaxAjgnAsA5EQDOSTUHwKtT2Tl7dmMIzgf48OGD8RkxYoTSrMiER6zYuXu2G8iKU0gmk1GadS1hBxLeciLCh2fWJLECOCcCwDkRAM6JAHBOYkkgJkUitvDBBi5WVFQYGw6BZK3ThYWFSrOr5XCnj03dHj58uLHh1TZTpkwxPpi8se/G57NCVHl5ubEh+fxv/5RYAZwTAeCcCADnJJYD5PNOYu/AyZMnG9v48eOVHjZsmPGZMWOG0uzauoMHDyo9a9Ys44PFKhH7zq2srDQ+OG+ourra+OBvyucYHCOp9z0jVgDnRAA4JwLAOREAzsmISHoZRg2yYMECY1u7dq3SGzduND5FRUXGVlZWpjS76WTp0qX/9idS0izy5EOsAM6JAHBOBIBzUu0Iygf2DkQb3s6R7/ccPnxYadb9w247O3v2rNLYJZwveKSMHTFjXcE1SawAzokAcE4EgHMiAJzzDy3w6K8wm60cAAAAAElFTkSuQmCC\" y=\"-22.224007\"/>\n",
       "   </g>\n",
       "   <g id=\"text_3\">\n",
       "    <!-- Shirt -->\n",
       "    <g transform=\"translate(372.161636 16.318125)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-104\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-83\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-104\"/>\n",
       "     <use x=\"126.855469\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"154.638672\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"195.751953\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_4\">\n",
       "   <g clip-path=\"url(#p651004f36e)\">\n",
       "    <image height=\"128\" id=\"image88ba169c21\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"7.2\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-175.711066\"/>\n",
       "   </g>\n",
       "   <g id=\"text_4\">\n",
       "    <!-- Trouser -->\n",
       "    <g transform=\"translate(49.283879 169.805184)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M -0.296875 72.90625 \n",
       "L 61.375 72.90625 \n",
       "L 61.375 64.59375 \n",
       "L 35.5 64.59375 \n",
       "L 35.5 0 \n",
       "L 25.59375 0 \n",
       "L 25.59375 64.59375 \n",
       "L -0.296875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-84\"/>\n",
       "      <path d=\"M 30.609375 48.390625 \n",
       "Q 23.390625 48.390625 19.1875 42.75 \n",
       "Q 14.984375 37.109375 14.984375 27.296875 \n",
       "Q 14.984375 17.484375 19.15625 11.84375 \n",
       "Q 23.34375 6.203125 30.609375 6.203125 \n",
       "Q 37.796875 6.203125 41.984375 11.859375 \n",
       "Q 46.1875 17.53125 46.1875 27.296875 \n",
       "Q 46.1875 37.015625 41.984375 42.703125 \n",
       "Q 37.796875 48.390625 30.609375 48.390625 \n",
       "z\n",
       "M 30.609375 56 \n",
       "Q 42.328125 56 49.015625 48.375 \n",
       "Q 55.71875 40.765625 55.71875 27.296875 \n",
       "Q 55.71875 13.875 49.015625 6.21875 \n",
       "Q 42.328125 -1.421875 30.609375 -1.421875 \n",
       "Q 18.84375 -1.421875 12.171875 6.21875 \n",
       "Q 5.515625 13.875 5.515625 27.296875 \n",
       "Q 5.515625 40.765625 12.171875 48.375 \n",
       "Q 18.84375 56 30.609375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-111\"/>\n",
       "      <path d=\"M 8.5 21.578125 \n",
       "L 8.5 54.6875 \n",
       "L 17.484375 54.6875 \n",
       "L 17.484375 21.921875 \n",
       "Q 17.484375 14.15625 20.5 10.265625 \n",
       "Q 23.53125 6.390625 29.59375 6.390625 \n",
       "Q 36.859375 6.390625 41.078125 11.03125 \n",
       "Q 45.3125 15.671875 45.3125 23.6875 \n",
       "L 45.3125 54.6875 \n",
       "L 54.296875 54.6875 \n",
       "L 54.296875 0 \n",
       "L 45.3125 0 \n",
       "L 45.3125 8.40625 \n",
       "Q 42.046875 3.421875 37.71875 1 \n",
       "Q 33.40625 -1.421875 27.6875 -1.421875 \n",
       "Q 18.265625 -1.421875 13.375 4.4375 \n",
       "Q 8.5 10.296875 8.5 21.578125 \n",
       "z\n",
       "M 31.109375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-117\"/>\n",
       "      <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-84\"/>\n",
       "     <use x=\"46.333984\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"85.197266\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "     <use x=\"146.378906\" xlink:href=\"#DejaVuSans-117\"/>\n",
       "     <use x=\"209.757812\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"261.857422\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "     <use x=\"323.380859\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_5\">\n",
       "   <g clip-path=\"url(#pa79d96af6a)\">\n",
       "    <image height=\"128\" id=\"imagec11293ad1d\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"164.752941\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-175.711066\"/>\n",
       "   </g>\n",
       "   <g id=\"text_5\">\n",
       "    <!-- T-Shirt -->\n",
       "    <g transform=\"translate(209.32682 169.805184)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 4.890625 31.390625 \n",
       "L 31.203125 31.390625 \n",
       "L 31.203125 23.390625 \n",
       "L 4.890625 23.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-45\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-84\"/>\n",
       "     <use x=\"51.958984\" xlink:href=\"#DejaVuSans-45\"/>\n",
       "     <use x=\"88.042969\" xlink:href=\"#DejaVuSans-83\"/>\n",
       "     <use x=\"151.519531\" xlink:href=\"#DejaVuSans-104\"/>\n",
       "     <use x=\"214.898438\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"242.681641\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"283.794922\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_6\">\n",
       "   <g clip-path=\"url(#p5f093b8bc6)\">\n",
       "    <image height=\"128\" id=\"imagef6af9dfa98\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"322.305882\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-175.711066\"/>\n",
       "   </g>\n",
       "   <g id=\"text_6\">\n",
       "    <!-- Bag -->\n",
       "    <g transform=\"translate(374.656324 169.805184)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 19.671875 34.8125 \n",
       "L 19.671875 8.109375 \n",
       "L 35.5 8.109375 \n",
       "Q 43.453125 8.109375 47.28125 11.40625 \n",
       "Q 51.125 14.703125 51.125 21.484375 \n",
       "Q 51.125 28.328125 47.28125 31.5625 \n",
       "Q 43.453125 34.8125 35.5 34.8125 \n",
       "z\n",
       "M 19.671875 64.796875 \n",
       "L 19.671875 42.828125 \n",
       "L 34.28125 42.828125 \n",
       "Q 41.5 42.828125 45.03125 45.53125 \n",
       "Q 48.578125 48.25 48.578125 53.8125 \n",
       "Q 48.578125 59.328125 45.03125 62.0625 \n",
       "Q 41.5 64.796875 34.28125 64.796875 \n",
       "z\n",
       "M 9.8125 72.90625 \n",
       "L 35.015625 72.90625 \n",
       "Q 46.296875 72.90625 52.390625 68.21875 \n",
       "Q 58.5 63.53125 58.5 54.890625 \n",
       "Q 58.5 48.1875 55.375 44.234375 \n",
       "Q 52.25 40.28125 46.1875 39.3125 \n",
       "Q 53.46875 37.75 57.5 32.78125 \n",
       "Q 61.53125 27.828125 61.53125 20.40625 \n",
       "Q 61.53125 10.640625 54.890625 5.3125 \n",
       "Q 48.25 0 35.984375 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-66\"/>\n",
       "      <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-66\"/>\n",
       "     <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"129.882812\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_7\">\n",
       "   <g clip-path=\"url(#p10f8c50c25)\">\n",
       "    <image height=\"128\" id=\"imageed7f7811ae\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"7.2\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-329.198125\"/>\n",
       "   </g>\n",
       "   <g id=\"text_7\">\n",
       "    <!-- Ankle Boot -->\n",
       "    <g transform=\"translate(38.694816 323.292243)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 34.1875 63.1875 \n",
       "L 20.796875 26.90625 \n",
       "L 47.609375 26.90625 \n",
       "z\n",
       "M 28.609375 72.90625 \n",
       "L 39.796875 72.90625 \n",
       "L 67.578125 0 \n",
       "L 57.328125 0 \n",
       "L 50.6875 18.703125 \n",
       "L 17.828125 18.703125 \n",
       "L 11.1875 0 \n",
       "L 0.78125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-65\"/>\n",
       "      <path id=\"DejaVuSans-32\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-65\"/>\n",
       "     <use x=\"68.408203\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "     <use x=\"131.787109\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "     <use x=\"189.697266\" xlink:href=\"#DejaVuSans-108\"/>\n",
       "     <use x=\"217.480469\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "     <use x=\"279.003906\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "     <use x=\"310.791016\" xlink:href=\"#DejaVuSans-66\"/>\n",
       "     <use x=\"379.394531\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "     <use x=\"440.576172\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "     <use x=\"501.757812\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_8\">\n",
       "   <g clip-path=\"url(#p9c96c2c884)\">\n",
       "    <image height=\"128\" id=\"image1784eb2449\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"164.752941\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-329.198125\"/>\n",
       "   </g>\n",
       "   <g id=\"text_8\">\n",
       "    <!-- Coat -->\n",
       "    <g transform=\"translate(214.815882 323.292243)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 64.40625 67.28125 \n",
       "L 64.40625 56.890625 \n",
       "Q 59.421875 61.53125 53.78125 63.8125 \n",
       "Q 48.140625 66.109375 41.796875 66.109375 \n",
       "Q 29.296875 66.109375 22.65625 58.46875 \n",
       "Q 16.015625 50.828125 16.015625 36.375 \n",
       "Q 16.015625 21.96875 22.65625 14.328125 \n",
       "Q 29.296875 6.6875 41.796875 6.6875 \n",
       "Q 48.140625 6.6875 53.78125 8.984375 \n",
       "Q 59.421875 11.28125 64.40625 15.921875 \n",
       "L 64.40625 5.609375 \n",
       "Q 59.234375 2.09375 53.4375 0.328125 \n",
       "Q 47.65625 -1.421875 41.21875 -1.421875 \n",
       "Q 24.65625 -1.421875 15.125 8.703125 \n",
       "Q 5.609375 18.84375 5.609375 36.375 \n",
       "Q 5.609375 53.953125 15.125 64.078125 \n",
       "Q 24.65625 74.21875 41.21875 74.21875 \n",
       "Q 47.75 74.21875 53.53125 72.484375 \n",
       "Q 59.328125 70.75 64.40625 67.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-67\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-67\"/>\n",
       "     <use x=\"69.824219\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "     <use x=\"131.005859\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"192.285156\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       "  <g id=\"axes_9\">\n",
       "   <g clip-path=\"url(#p3faa2e73c6)\">\n",
       "    <image height=\"128\" id=\"imagef2e4a5d679\" transform=\"scale(1 -1)translate(0 -128)\" width=\"128\" x=\"322.305882\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-329.198125\"/>\n",
       "   </g>\n",
       "   <g id=\"text_9\">\n",
       "    <!-- Pullover -->\n",
       "    <g transform=\"translate(362.228824 323.292243)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 19.671875 64.796875 \n",
       "L 19.671875 37.40625 \n",
       "L 32.078125 37.40625 \n",
       "Q 38.96875 37.40625 42.71875 40.96875 \n",
       "Q 46.484375 44.53125 46.484375 51.125 \n",
       "Q 46.484375 57.671875 42.71875 61.234375 \n",
       "Q 38.96875 64.796875 32.078125 64.796875 \n",
       "z\n",
       "M 9.8125 72.90625 \n",
       "L 32.078125 72.90625 \n",
       "Q 44.34375 72.90625 50.609375 67.359375 \n",
       "Q 56.890625 61.8125 56.890625 51.125 \n",
       "Q 56.890625 40.328125 50.609375 34.8125 \n",
       "Q 44.34375 29.296875 32.078125 29.296875 \n",
       "L 19.671875 29.296875 \n",
       "L 19.671875 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-80\"/>\n",
       "      <path d=\"M 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 8.796875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "L 35.6875 0 \n",
       "L 23.484375 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-118\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-80\"/>\n",
       "     <use x=\"58.552734\" xlink:href=\"#DejaVuSans-117\"/>\n",
       "     <use x=\"121.931641\" xlink:href=\"#DejaVuSans-108\"/>\n",
       "     <use x=\"149.714844\" xlink:href=\"#DejaVuSans-108\"/>\n",
       "     <use x=\"177.498047\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "     <use x=\"238.679688\" xlink:href=\"#DejaVuSans-118\"/>\n",
       "     <use x=\"297.859375\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "     <use x=\"359.382812\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"pf7d204b665\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"7.2\" y=\"22.318125\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"pd45807b7be\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"164.752941\" y=\"22.318125\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p2f66304809\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"322.305882\" y=\"22.318125\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p651004f36e\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"7.2\" y=\"175.805184\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"pa79d96af6a\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"164.752941\" y=\"175.805184\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p5f093b8bc6\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"322.305882\" y=\"175.805184\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p10f8c50c25\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"7.2\" y=\"329.292243\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p9c96c2c884\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"164.752941\" y=\"329.292243\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p3faa2e73c6\">\n",
       "   <rect height=\"127.905882\" width=\"127.905882\" x=\"322.305882\" y=\"329.292243\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<Figure size 576x576 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels_map = {\n",
    "    0: \"T-Shirt\",\n",
    "    1: \"Trouser\",\n",
    "    2: \"Pullover\",\n",
    "    3: \"Dress\",\n",
    "    4: \"Coat\",\n",
    "    5: \"Sandal\",\n",
    "    6: \"Shirt\",\n",
    "    7: \"Sneaker\",\n",
    "    8: \"Bag\",\n",
    "    9: \"Ankle Boot\",\n",
    "}\n",
    "\n",
    "figure = plt.figure(figsize=(8, 8))\n",
    "cols, rows = 3, 3\n",
    "for i in range(1, cols * rows + 1):\n",
    "    sample_idx = torch.randint(len(training_data), size=(1,)).item()\n",
    "    img, label = training_data[sample_idx]\n",
    "    figure.add_subplot(rows, cols, i)\n",
    "    plt.title(labels_map[label])\n",
    "    plt.axis(\"off\")\n",
    "    plt.imshow(img.squeeze(), cmap=\"gray\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Creating a Custom Dataset for your files\n",
    "Một class Dataset mà chúng ta custom phải thực thi 3 hàm: **__init__**, **__len__**, **__getitem__**. Hãy xem cách triển khai này;  hình ảnh FashionMNIST được lưu trữ trong thư mục **img_dir** và nhãn của chúng được lưu trữ riêng trong tệp CSV **annotations_file**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from PIL import Image\n",
    "\n",
    "class CustomDataset(Dataset):\n",
    "    def __init__(self, annotations_file, img_dir, transform=None, target_transform=None):\n",
    "        self.img_labels = pd.read_csv(annotations_file)\n",
    "        self.img_dir = img_dir\n",
    "        self.transform = transform\n",
    "        self.target_transform = target_transform\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.img_labels)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        img_path = os.path.join(self.img_dir, self.img_labels.iloc[idx, 0])\n",
    "        image = Image.open(img_path)\n",
    "        label = self.img_labels.iloc[idx, 1]\n",
    "        if self.transform:\n",
    "            image = self.transform(image)\n",
    "        if self.target_transform:\n",
    "            label = self.target_transform(label)\n",
    "        sample = {\"image\": image, \"label\": label}\n",
    "        return sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hàm __init__ được chạy một lần khi khởi tạo đối tượng Dataset.  Chúng tôi khởi tạo thư mục chứa hình ảnh, tệp chú thích và cả hai phép biến đổi (được trình bày chi tiết hơn trong phần tiếp theo).\n",
    "\n",
    "Tệp label.csv trông giống như sau:\n",
    ">tshirt1.jpg, 0 <br/>\n",
    "tshirt2.jpg, 0  <br/>\n",
    "...... <br/>\n",
    "ankleboot999.jpg, 9 <br/>\n",
    "\n",
    "\n",
    "Hàm __len__ trả về số lượng mẫu trong tập dữ liệu của chúng tôi.\n",
    "\n",
    "Hàm __getitem__ tải và trả về một mẫu từ tập dữ liệu tại idx chỉ mục đã cho.  Dựa trên chỉ mục, nó xác định vị trí của hình ảnh trên đĩa, chuyển đổi vị trí đó thành tensor bằng cách sử dụng read_image, truy xuất nhãn tương ứng từ dữ liệu csv trong self.img_labels, gọi các hàm biến đổi trên chúng (nếu có) và trả về hình ảnh tensor  và nhãn tương ứng trong một câu lệnh Python."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Preparing your data for training with DataLoaders\n",
    "\n",
    "**Dataset** truy xuất các đặc trưng của tập dữ liệu của chúng tôi và gắn nhãn từng mẫu một. Trong khi huấn luyện mô hình, chúng ta muốn pass các mẫu dữ liệu trong một minibatch, xáo trộn dữ liệu tại mỗi epoch để giảm overfitting, và sử dụng **multiprocessing** để tăng tốc độ.\n",
    "\n",
    "**Dataloader** là một iterable hỗ trợ các công việc phức tạp này trở nên dễ dàng.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader\n",
    "\n",
    "train_dataloader = DataLoader(training_data, batch_size=64, shuffle=True)\n",
    "test_dataloader = DataLoader(test_data, batch_size=64, shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chúng ta có thể load các dataset từ **Dataloader** và có thể iterate qua dataset. Mỗi vòng lặp dưới đây trả về một batch của **train_features** và **train_labels** (64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features shape: torch.Size([64, 1, 28, 28])\n",
      "Labels shape: torch.Size([64])\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Created with matplotlib (https://matplotlib.org/) -->\n",
       "<svg height=\"248.518125pt\" version=\"1.1\" viewBox=\"0 0 251.565 248.518125\" width=\"251.565pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-03-27T15:03:54.610438</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.3, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 248.518125 \n",
       "L 251.565 248.518125 \n",
       "L 251.565 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 26.925 224.64 \n",
       "L 244.365 224.64 \n",
       "L 244.365 7.2 \n",
       "L 26.925 7.2 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g clip-path=\"url(#p0fb03f4788)\">\n",
       "    <image height=\"218\" id=\"image9a0f75f0d4\" transform=\"scale(1 -1)translate(0 -218)\" width=\"218\" x=\"26.925\" xlink:href=\"data:image/png;base64,\n",
       "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\" y=\"-6.64\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"m8a3a66862a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.807857\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(27.626607 239.238437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"69.636429\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 5 -->\n",
       "      <g transform=\"translate(66.455179 239.238437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.796875 72.90625 \n",
       "L 49.515625 72.90625 \n",
       "L 49.515625 64.59375 \n",
       "L 19.828125 64.59375 \n",
       "L 19.828125 46.734375 \n",
       "Q 21.96875 47.46875 24.109375 47.828125 \n",
       "Q 26.265625 48.1875 28.421875 48.1875 \n",
       "Q 40.625 48.1875 47.75 41.5 \n",
       "Q 54.890625 34.8125 54.890625 23.390625 \n",
       "Q 54.890625 11.625 47.5625 5.09375 \n",
       "Q 40.234375 -1.421875 26.90625 -1.421875 \n",
       "Q 22.3125 -1.421875 17.546875 -0.640625 \n",
       "Q 12.796875 0.140625 7.71875 1.703125 \n",
       "L 7.71875 11.625 \n",
       "Q 12.109375 9.234375 16.796875 8.0625 \n",
       "Q 21.484375 6.890625 26.703125 6.890625 \n",
       "Q 35.15625 6.890625 40.078125 11.328125 \n",
       "Q 45.015625 15.765625 45.015625 23.390625 \n",
       "Q 45.015625 31 40.078125 35.4375 \n",
       "Q 35.15625 39.890625 26.703125 39.890625 \n",
       "Q 22.75 39.890625 18.8125 39.015625 \n",
       "Q 14.890625 38.140625 10.796875 36.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-53\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"108.465\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 10 -->\n",
       "      <g transform=\"translate(102.1025 239.238437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"147.293571\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 15 -->\n",
       "      <g transform=\"translate(140.931071 239.238437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"186.122143\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 20 -->\n",
       "      <g transform=\"translate(179.759643 239.238437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"224.950714\" xlink:href=\"#m8a3a66862a\" y=\"224.64\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 25 -->\n",
       "      <g transform=\"translate(218.588214 239.238437)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"m9874b3c734\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"11.082857\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(13.5625 14.882076)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"49.911429\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 5 -->\n",
       "      <g transform=\"translate(13.5625 53.710647)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"88.74\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 10 -->\n",
       "      <g transform=\"translate(7.2 92.539219)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"127.568571\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 15 -->\n",
       "      <g transform=\"translate(7.2 131.36779)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"166.397143\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 20 -->\n",
       "      <g transform=\"translate(7.2 170.196362)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_12\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9874b3c734\" y=\"205.225714\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 25 -->\n",
       "      <g transform=\"translate(7.2 209.024933)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 26.925 224.64 \n",
       "L 26.925 7.2 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 244.365 224.64 \n",
       "L 244.365 7.2 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 26.925 224.64 \n",
       "L 244.365 224.64 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 26.925 7.2 \n",
       "L 244.365 7.2 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p0fb03f4788\">\n",
       "   <rect height=\"217.44\" width=\"217.44\" x=\"26.925\" y=\"7.2\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0)\n"
     ]
    }
   ],
   "source": [
    "train_features, train_labels = next(iter(train_dataloader))\n",
    "print(\"Features shape:\", train_features.size())\n",
    "print(\"Labels shape:\", train_labels.size())\n",
    "\n",
    "img = train_features[0].squeeze()\n",
    "label = train_labels[0]\n",
    "\n",
    "plt.imshow(img, cmap='gray')\n",
    "plt.show()\n",
    "print(label)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Về cơ bản, tới bài này chúng ta đã có thể có các khái niệm để thực hiện một project Deep learning bằng Pytorch, các bạn có thể xem mẫu về 1 project đơn giản bằng pytorch tại github sau: https://github.com/nducthang/BERT-Tweet-Sentiment-Kaggle \n",
    "\n",
    "Trong này tôi đã thực hiện load dataset, xây dựng mô hình và chạy mô hình với Pytorch."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}