Install_fastai_on_Google_colab_GPU.ipynb

oct22.ipynb

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        "[View in Colaboratory](https://colab.research.google.com/gist/vijaysaimutyala/e394036b1c065561a134cfe7c25a896a/oct22.ipynb)"
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      "source": [
        "## Installing fastai in GPU enabled runtime\n",
        "\n",
        "Enable GPU runtime from the the runtime menu option-->Change runtime type\n",
        " \n",
        "\n",
        "\n",
        "1.   Enable GPU runtime from the the runtime menu option-->Change runtime type\n",
        "2.   Under the Hardware Accelerator, choose GPU\n",
        "3.   Follow the below steps to install Pytorch GPU version followed by fastai"
      ]
    },
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        "id": "sL1gDkp3FrW8",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
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        "colab_type": "code",
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      "cell_type": "code",
      "source": [
        "!pip install fastai\n"
      ],
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      "outputs": []
    },
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        "outputId": "18114a18-fa21-4a35-db4f-892e9fb7ecce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1003
        }
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      "cell_type": "code",
      "source": [
        "#@title\n",
        "import fastai\n",
        "fastai.show_install(1)"
      ],
      "execution_count": 0,
      "outputs": [
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          "text": [
            "\n",
            "\n",
            "```text\n",
            "=== Software === \n",
            "python version  : 3.6.6\n",
            "fastai version  : 1.0.11\n",
            "torch version   : 1.0.0.dev20181019\n",
            "nvidia driver   : 396.44\n",
            "torch cuda ver  : 9.2.148\n",
            "torch cuda is   : available\n",
            "torch cudnn ver : 7104\n",
            "torch cudnn is  : enabled\n",
            "\n",
            "=== Hardware === \n",
            "nvidia gpus     : 1\n",
            "torch available : 1\n",
            "  - gpu0        : 11441MB | Tesla K80\n",
            "\n",
            "=== Environment === \n",
            "platform        : Linux-4.14.65+-x86_64-with-Ubuntu-18.04-bionic\n",
            "distro          : #1 SMP Sun Sep 9 02:18:33 PDT 2018\n",
            "conda env       : Unknown\n",
            "python          : /usr/bin/python3\n",
            "sys.path        : \n",
            "/env/python\n",
            "/usr/lib/python36.zip\n",
            "/usr/lib/python3.6\n",
            "/usr/lib/python3.6/lib-dynload\n",
            "/usr/local/lib/python3.6/dist-packages\n",
            "/usr/lib/python3/dist-packages\n",
            "/usr/local/lib/python3.6/dist-packages/IPython/extensions\n",
            "/root/.ipython\n",
            "\n",
            "Sun Oct 21 06:21:51 2018       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 396.44                 Driver Version: 396.44                    |\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 K80           Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   34C    P8    31W / 149W |     11MiB / 11441MiB |      0%      Default |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                       GPU Memory |\n",
            "|  GPU       PID   Type   Process name                             Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n",
            "\n",
            "```\n",
            "\n",
            "Please make sure to include opening/closing ``` when you paste into forums/github to make the reports appear formatted as code sections.\n",
            "\n",
            "Optional package(s) to enhance the diagnostics can be installed with:\n",
            "pip install distro\n",
            "Once installed, re-run this utility to get the additional information\n"
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "import torch\n",
        "torch.cuda.is_available()"
      ],
      "execution_count": 0,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
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          "execution_count": 5
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        ""
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