practical_colab_starter_HT22.ipynb

practical_colab_starter_ht22.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "practical_colab_starter_HT22.ipynb",
      "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/previtus/93b901eb22e9d780ead9edbf26adbb45/practical_colab_starter_ht22.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*This is a starter notebook which installs the correct python libraries to run on Google Collab (as tested on 2.2.2022).*"
      ],
      "metadata": {
        "id": "5EW65PMGw6Lz"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o9wEHGQEgWzD"
      },
      "source": [
        "# Environment"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sRwrcnodgQVY",
        "outputId": "2d17b482-7108-491d-cff4-868aefee5e17"
      },
      "source": [
        "!pip install networkx"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: networkx in /usr/local/lib/python3.7/dist-packages (2.6.3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FcuyM0V1gSm5",
        "outputId": "c39bb929-fc46-4d25-d0c7-aab78396ff58"
      },
      "source": [
        "!python -c \"import torch; print(torch.__version__)\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1.10.0+cu111\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1HjB5HgqgVf6",
        "outputId": "dbd35b3f-c4cb-42be-c0ef-d65a197e2d2a"
      },
      "source": [
        "!python -c \"import torch; print(torch.version.cuda)\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8iU60yUzgYnA"
      },
      "source": [
        "# using those two numbers we install the correct pytorch-geometric\n",
        "# torch 1.10.0\n",
        "# cuda cu111\n",
        "!pip install --no-index torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cu111.html\n",
        "!pip install --no-index torch-sparse -f https://pytorch-geometric.com/whl/torch-1.10.0+cu111.html\n",
        "!pip install --no-index torch-cluster -f https://pytorch-geometric.com/whl/torch-1.10.0+cu111.html\n",
        "!pip install --no-index torch-spline-conv -f https://pytorch-geometric.com/whl/torch-1.10.0+cu111.html\n",
        "!pip install torch-geometric"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xs7m0TvJhL4O"
      },
      "source": [
        "Suggested tutorials\n",
        "\n",
        "> https://networkx.org/documentation/stable/tutorial.html\n",
        "\n",
        "> https://pytorch-geometric.readthedocs.io/en/latest/notes/colabs.html\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DAd7CzS6gzhM"
      },
      "source": [
        "# Assignment\n",
        "\n",
        "See: https://www.cs.ox.ac.uk/files/13312/ATML_Practical_1.pdf"
      ]
    }
  ]
}