MNIST_download.ipynb

mnist_download.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MNIST_download.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPddvG5YQJCuO2wGi0aTsEE",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/mlelarge/60ddefa9e16bc06f7f4fc7bff769bdb1/mnist_download.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2biaCSOWtdrg",
        "outputId": "08a5d7cf-4330-4ef4-bcd1-4d279f56ec0a"
      },
      "source": [
        "!wget www.di.ens.fr/~lelarge/MNIST.tar.gz"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-03-03 16:01:32--  http://www.di.ens.fr/~lelarge/MNIST.tar.gz\n",
            "Resolving www.di.ens.fr (www.di.ens.fr)... 129.199.99.14\n",
            "Connecting to www.di.ens.fr (www.di.ens.fr)|129.199.99.14|:80... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://www.di.ens.fr/~lelarge/MNIST.tar.gz [following]\n",
            "--2021-03-03 16:01:32--  https://www.di.ens.fr/~lelarge/MNIST.tar.gz\n",
            "Connecting to www.di.ens.fr (www.di.ens.fr)|129.199.99.14|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [application/x-gzip]\n",
            "Saving to: ‘MNIST.tar.gz’\n",
            "\n",
            "MNIST.tar.gz            [             <=>    ]  33.20M  9.78MB/s    in 4.2s    \n",
            "\n",
            "2021-03-03 16:01:36 (7.94 MB/s) - ‘MNIST.tar.gz’ saved [34813078]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IfTvk6oMypbS",
        "outputId": "55e1fbce-19bd-4693-d424-ad742d438d37"
      },
      "source": [
        "!tar -zxvf MNIST.tar.gz"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "MNIST/\n",
            "MNIST/raw/\n",
            "MNIST/raw/train-labels-idx1-ubyte\n",
            "MNIST/raw/t10k-labels-idx1-ubyte.gz\n",
            "MNIST/raw/t10k-labels-idx1-ubyte\n",
            "MNIST/raw/t10k-images-idx3-ubyte.gz\n",
            "MNIST/raw/train-images-idx3-ubyte\n",
            "MNIST/raw/train-labels-idx1-ubyte.gz\n",
            "MNIST/raw/t10k-images-idx3-ubyte\n",
            "MNIST/raw/train-images-idx3-ubyte.gz\n",
            "MNIST/processed/\n",
            "MNIST/processed/training.pt\n",
            "MNIST/processed/test.pt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B4Iq2Jg5sgk8",
        "outputId": "cfa6a5d3-0045-4f33-f4ef-ee42a4ac2f65"
      },
      "source": [
        "import torchvision\n",
        "import torchvision.transforms as transforms\n",
        "root_dir = './'\n",
        "torchvision.datasets.MNIST(root=root_dir,download=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Dataset MNIST\n",
              "    Number of datapoints: 60000\n",
              "    Root location: ./\n",
              "    Split: Train"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W3cG6FOSy0aA"
      },
      "source": [
        "train_set = torchvision.datasets.MNIST(root=root_dir, train=True, download=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZPUL6w7z0zcg"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}