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      "execution_count": 2,
      "metadata": {
        "id": "6WNoL04M7rTa"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "# Clone the repository (can take 3min)\n",
        "!git clone --depth 1 https://github.com/Unity-Technologies/ml-agents"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "# Go inside the repository and install the package (can take 3min)\n",
        "%cd ml-agents\n",
        "!pip3 install -e ./ml-agents-envs\n",
        "!pip3 install -e ./ml-agents"
      ],
      "metadata": {
        "id": "DOHT2iB7yLZH"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "C9Ls6_6eOKiA"
      },
      "outputs": [],
      "source": [
        "!mkdir ./trained-envs-executables\n",
        "!mkdir ./trained-envs-executables/linux"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget \"https://github.com/huggingface/Huggy/raw/main/Huggy.zip\" -O ./trained-envs-executables/linux/Huggy.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c--QZt_ayLbV",
        "outputId": "c8f5f3d5-80b7-4d97-b7b1-568a3ca5d64a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-02-23 11:50:39--  https://github.com/huggingface/Huggy/raw/main/Huggy.zip\n",
            "Resolving github.com (github.com)... 140.82.114.3\n",
            "Connecting to github.com (github.com)|140.82.114.3|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip [following]\n",
            "--2024-02-23 11:50:40--  https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip\n",
            "Resolving media.githubusercontent.com (media.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to media.githubusercontent.com (media.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 39214997 (37M) [application/zip]\n",
            "Saving to: ‘./trained-envs-executables/linux/Huggy.zip’\n",
            "\n",
            "./trained-envs-exec 100%[===================>]  37.40M   221MB/s    in 0.2s    \n",
            "\n",
            "2024-02-23 11:50:42 (221 MB/s) - ‘./trained-envs-executables/linux/Huggy.zip’ saved [39214997/39214997]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "!unzip -d ./trained-envs-executables/linux/ ./trained-envs-executables/linux/Huggy.zip"
      ],
      "metadata": {
        "id": "vowa1oKhyLcn"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!chmod -R 755 ./trained-envs-executables/linux/Huggy"
      ],
      "metadata": {
        "id": "ozPPLU1_yLg-"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=\"Huggy2\" --no-graphics"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wI1jZsj9yLkZ",
        "outputId": "159df410-fade-4c62-f20c-da3af985145b"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torch/__init__.py:696: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at ../torch/csrc/tensor/python_tensor.cpp:451.)\n",
            "  _C._set_default_tensor_type(t)\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/trainers/cli_utils.py\", line 322, in load_config\n",
            "    with open(config_path) as data_file:\n",
            "FileNotFoundError: [Errno 2] No such file or directory: './config/ppo/Huggy.yaml'\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/mlagents-learn\", line 33, in <module>\n",
            "    sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')())\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/trainers/learn.py\", line 270, in main\n",
            "    run_cli(parse_command_line())\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/trainers/learn.py\", line 56, in parse_command_line\n",
            "    return RunOptions.from_argparse(args)\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/trainers/settings.py\", line 914, in from_argparse\n",
            "    configured_dict.update(load_config(config_path))\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/trainers/cli_utils.py\", line 326, in load_config\n",
            "    raise TrainerConfigError(f\"Config file could not be found at {abs_path}.\")\n",
            "mlagents.trainers.exception.TrainerConfigError: Config file could not be found at /content/ml-agents/config/ppo/Huggy.yaml.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import notebook_login\n",
        "notebook_login()"
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            "6638ab7ae7db460aa61485f830bbcd0a",
            "709c9c0818d344bd9ee729c294306e45"
          ]
        },
        "id": "_SURusNa2lZt",
        "outputId": "d7012a26-0ad6-4d3f-e08e-6140cfbbf569"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "197637a1275b48778c87e68d500cce76"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mlagents-push-to-hf --run-id=\"HuggyTraining\" --local-dir=\"./results/Huggy\" --repo-id=\"ThomasSimonini/ppo-Huggy\" --commit-message=\"Huggy\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D9jXQUft2lku",
        "outputId": "b609cf38-3aa4-40d0-abe3-7bcfb7cd00ea"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[INFO] This function will create a model card and upload your HuggyTraining into HuggingFace Hub. This is a work in progress: If you encounter a bug, please send open an issue\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/mlagents-push-to-hf\", line 33, in <module>\n",
            "    sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-push-to-hf')())\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 205, in main\n",
            "    package_to_hub(\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 159, in package_to_hub\n",
            "    _generate_config(local_path, configfile_name)\n",
            "  File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 29, in _generate_config\n",
            "    with open(os.path.join(local_dir, configfile_name)) as yaml_in:\n",
            "FileNotFoundError: [Errno 2] No such file or directory: 'results/Huggy/configuration.yaml'\n"
          ]
        }
      ]
    }
  ]
}