vit_jax_train.ipynb

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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-MYot7DJh9kk"
      },
      "source": [
        "See code at https://github.com/google-research/vision_transformer/\n",
        "\n",
        "See papers at\n",
        "\n",
        "- Vision Transformer: https://arxiv.org/abs/2010.11929\n",
        "- MLP-Mixer: https://arxiv.org/abs/2105.01601\n",
        "- How to train your ViT: https://arxiv.org/abs/2106.10270\n",
        "- When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations: https://arxiv.org/abs/2106.01548\n",
        "\n",
        "This Colab allows you to run the [JAX](https://jax.readthedocs.org) implementation of the Vision Transformer.\n",
        "\n",
        "If you just want to load a pre-trained checkpoint from a large repository and\n",
        "directly use it for inference, you probably want to go [this Colab](https://colab.research.google.com/github/google-research/vision_transformer/blob/main/vit_jax_augreg.ipynb)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sXhZm0kpPpH6"
      },
      "source": [
        "##### Copyright 2021 Google LLC.  University of Windsor"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cfe6jvTCo1yQ"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "cellView": "form",
        "id": "KfmzfvFxPuk7"
      },
      "outputs": [],
      "source": [
        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iOVCm4CnP1Do"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/google-research/vision_transformer/blob/main/vit_jax.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cyD76dm5JaeW"
      },
      "source": [
        "### Setup\n",
        "\n",
        "Needs to be executed once in every VM.\n",
        "\n",
        "The cell below downloads the code from Github and install necessary dependencies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "id": "zZvI8OXt78sj",
        "outputId": "493cfd02-ff31-405d-981e-047f82c699a1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<h1 style=\"color:red\">CHANGES NOT PERSISTED</h1>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#@markdown Select whether you would like to store data in your personal drive.\n",
        "#@markdown\n",
        "#@markdown If you select **yes**, you will need to authorize Colab to access\n",
        "#@markdown your personal drive\n",
        "#@markdown\n",
        "#@markdown If you select **no**, then any changes you make will diappear when\n",
        "#@markdown this Colab's VM restarts after some time of inactivity...\n",
        "use_gdrive = 'no'  #@param [\"yes\", \"no\"]\n",
        "\n",
        "if use_gdrive == 'yes':\n",
        "  from google.colab import drive\n",
        "  drive.mount('/gdrive')\n",
        "  root = '/gdrive/My Drive/vision_transformer_colab'\n",
        "  import os\n",
        "  if not os.path.isdir(root):\n",
        "    os.mkdir(root)\n",
        "  os.chdir(root)\n",
        "  print(f'\\nChanged CWD to \"{root}\"')\n",
        "else:\n",
        "  from IPython import display\n",
        "  display.display(display.HTML(\n",
        "      '<h1 style=\"color:red\">CHANGES NOT PERSISTED</h1>'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GeEy6gN71CDa",
        "outputId": "a8ef5cbd-cdba-4aca-bcf9-075527654d66"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'vision_transformer'...\n",
            "remote: Enumerating objects: 49, done.\u001b[K\n",
            "remote: Counting objects: 100% (49/49), done.\u001b[K\n",
            "remote: Compressing objects: 100% (42/42), done.\u001b[K\n",
            "remote: Total 49 (delta 6), reused 21 (delta 3), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (49/49), 1.66 MiB | 6.21 MiB/s, done.\n",
            "Already up to date.\n"
          ]
        }
      ],
      "source": [
        "# Clone repository and pull latest changes.\n",
        "![ -d vision_transformer ] || git clone --depth=1 https://github.com/khalilchris/vision_transformer\n",
        "!cd vision_transformer && git pull"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sCN4d-GQJdU4",
        "outputId": "d76ffb9f-110b-4378-f1a2-67ebcc23dcd5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.2/98.2 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.2/42.2 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m231.8/231.8 MB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.0/6.0 MB\u001b[0m \u001b[31m55.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m349.9/349.9 kB\u001b[0m \u001b[31m29.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m149.6/149.6 MB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for flaxformer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for ml-collections (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install -qr vision_transformer/vit_jax/requirements.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "%cd vision_transformer\n",
        "!ls\n",
        "%cd vit_jax\n",
        "!ls\n",
        "!python main.py"
      ]
    }
  ],
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