Apache MXNet/gluon on Colab.ipynb

apache-mxnet-gluon-on-colab.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Apache MXNet/gluon on Colab.ipynb",
      "provenance": [],
      "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/serithemage/54bf347b41980b98ade2353b2e27d899/apache-mxnet-gluon-on-colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NcFWElylPeA2",
        "colab_type": "text"
      },
      "source": [
        "# Apache MXNet/gluon on Colab\n",
        "\n",
        "- 이 문서는 Google Colab에서 Apache MXNet/gluon을 실행하기 위한 설정을 다루고 있습니다.\n",
        "- 런타입 유형은 Python3에 하드웨어 가속은 GPU를 선택합니다.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R8SAdVwRPLSD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "outputId": "8ce06c58-9963-4468-f3e2-fee9b13c9976"
      },
      "source": [
        "# CUDA버전을 확인합니다. 2019년 9월29일 현재 CUDA버전은 10.1입니다.\n",
        "!nvidia-smi"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sat Sep 28 23:38:24 2019       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 430.40       Driver Version: 418.67       CUDA Version: 10.1     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   47C    P8    10W /  70W |      0MiB / 15079MiB |      0%      Default |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                       GPU Memory |\n",
            "|  GPU       PID   Type   Process name                             Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "APnIKwwSbwNt",
        "colab_type": "code",
        "outputId": "ea411070-7fdc-4d3c-c38d-28690d6309e7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        }
      },
      "source": [
        "# CUDA버전에 맞춰 MXNet을 설치합니다. cudart를 포함한 일부 라이브러리가 10.1이 아닌 10.0으로 되어 있으므로 cu100으로 설치하였습니다.\n",
        "!pip install mxnet-cu100"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting mxnet-cu100\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/56/d3/e939814957c2f09ecdd22daa166898889d54e5981e356832425d514edfb6/mxnet_cu100-1.5.0-py2.py3-none-manylinux1_x86_64.whl (540.1MB)\n",
            "\u001b[K     |████████████████████████████████| 540.1MB 44kB/s \n",
            "\u001b[?25hRequirement already satisfied: graphviz<0.9.0,>=0.8.1 in /usr/local/lib/python3.6/dist-packages (from mxnet-cu100) (0.8.4)\n",
            "Requirement already satisfied: numpy<2.0.0,>1.16.0 in /usr/local/lib/python3.6/dist-packages (from mxnet-cu100) (1.16.5)\n",
            "Requirement already satisfied: requests<3,>=2.20.0 in /usr/local/lib/python3.6/dist-packages (from mxnet-cu100) (2.21.0)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.20.0->mxnet-cu100) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.20.0->mxnet-cu100) (2019.6.16)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.20.0->mxnet-cu100) (2.8)\n",
            "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.20.0->mxnet-cu100) (1.24.3)\n",
            "Installing collected packages: mxnet-cu100\n",
            "Successfully installed mxnet-cu100-1.5.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FUkiCBfRb8mx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# 정상적으로 MXNet이 설치되었는지 테스트 합니다. 에러가 나지 않으면 정상 설치가 된 것 입니다.\n",
        "import mxnet as mx\n",
        "from mxnet import nd, autograd, gluon"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UxJlmkq0RAwE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}