Office-31_EUDA/notebook.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p5sYZ3flQspL",
        "outputId": "711f1e4f-a2a9-4842-fcce-9da82be59eb9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'EUDA'...\n",
            "remote: Enumerating objects: 261, done.\u001b[K\n",
            "remote: Counting objects: 100% (261/261), done.\u001b[K\n",
            "remote: Compressing objects: 100% (200/200), done.\u001b[K\n",
            "remote: Total 261 (delta 53), reused 253 (delta 49), pack-reused 0 (from 0)\u001b[K\n",
            "Receiving objects: 100% (261/261), 6.39 MiB | 16.66 MiB/s, done.\n",
            "Resolving deltas: 100% (53/53), done.\n",
            "/content/EUDA\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/A-Abedi/EUDA.git\n",
        "%cd EUDA"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
        "!chmod +x Miniconda3-latest-Linux-x86_64.sh\n",
        "!bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n",
        "\n",
        "import sys\n",
        "sys.path.append('/usr/local/lib/python3.9/site-packages')\n",
        "\n",
        "!conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main\n",
        "!conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "eo2xywbcQ5I7",
        "outputId": "3154987b-e9ce-462b-d022-76fd0632d116"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2025-08-07 11:21:20--  https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
            "Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.191.158, 104.16.32.241, 2606:4700::6810:20f1, ...\n",
            "Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.191.158|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 160039710 (153M) [application/octet-stream]\n",
            "Saving to: ‘Miniconda3-latest-Linux-x86_64.sh’\n",
            "\n",
            "Miniconda3-latest-L 100%[===================>] 152.62M   206MB/s    in 0.7s    \n",
            "\n",
            "2025-08-07 11:21:21 (206 MB/s) - ‘Miniconda3-latest-Linux-x86_64.sh’ saved [160039710/160039710]\n",
            "\n",
            "PREFIX=/usr/local\n",
            "Unpacking payload ...\n",
            "entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
            "entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
            "\n",
            "Installing base environment...\n",
            "\n",
            "Preparing transaction: ...working... done\n",
            "Executing transaction: ...working... done\n",
            "entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
            "installation finished.\n",
            "WARNING:\n",
            "    You currently have a PYTHONPATH environment variable set. This may cause\n",
            "    unexpected behavior when running the Python interpreter in Miniconda3.\n",
            "    For best results, please verify that your PYTHONPATH only points to\n",
            "    directories of packages that are compatible with the Python interpreter\n",
            "    in Miniconda3: /usr/local\n",
            "accepted Terms of Service for \u001b[4;94mhttps://repo.anaconda.com/pkgs/main\u001b[0m\n",
            "accepted Terms of Service for \u001b[4;94mhttps://repo.anaconda.com/pkgs/r\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!conda create -n nenv python=3.10 -y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "Up7TMJwCQ8Ca",
        "outputId": "ca141367-1e32-4b3b-8b77-0fd3285ac39b"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;32m2\u001b[0m\u001b[1;32m channel Terms of Service accepted\u001b[0m\n",
            "Channels:\n",
            " - defaults\n",
            "Platform: linux-64\n",
            "Collecting package metadata (repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Solving environment: / \b\bdone\n",
            "\n",
            "\n",
            "==> WARNING: A newer version of conda exists. <==\n",
            "    current version: 25.5.1\n",
            "    latest version: 25.7.0\n",
            "\n",
            "Please update conda by running\n",
            "\n",
            "    $ conda update -n base -c defaults conda\n",
            "\n",
            "\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local/envs/nenv\n",
            "\n",
            "  added / updated specs:\n",
            "    - python=3.10\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    python-3.10.18             |       h1a3bd86_0        26.5 MB\n",
            "    setuptools-78.1.1          |  py310h06a4308_0         1.7 MB\n",
            "    wheel-0.45.1               |  py310h06a4308_0         115 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:        28.4 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main \n",
            "  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu \n",
            "  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 \n",
            "  ca-certificates    pkgs/main/linux-64::ca-certificates-2025.2.25-h06a4308_0 \n",
            "  expat              pkgs/main/linux-64::expat-2.7.1-h6a678d5_0 \n",
            "  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0 \n",
            "  libffi             pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1 \n",
            "  libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 \n",
            "  libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 \n",
            "  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 \n",
            "  libuuid            pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0 \n",
            "  libxcb             pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 \n",
            "  ncurses            pkgs/main/linux-64::ncurses-6.5-h7934f7d_0 \n",
            "  openssl            pkgs/main/linux-64::openssl-3.0.17-h5eee18b_0 \n",
            "  pip                pkgs/main/noarch::pip-25.1-pyhc872135_2 \n",
            "  pthread-stubs      pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 \n",
            "  python             pkgs/main/linux-64::python-3.10.18-h1a3bd86_0 \n",
            "  readline           pkgs/main/linux-64::readline-8.3-hc2a1206_0 \n",
            "  setuptools         pkgs/main/linux-64::setuptools-78.1.1-py310h06a4308_0 \n",
            "  sqlite             pkgs/main/linux-64::sqlite-3.50.2-hb25bd0a_1 \n",
            "  tk                 pkgs/main/linux-64::tk-8.6.14-h993c535_1 \n",
            "  tzdata             pkgs/main/noarch::tzdata-2025b-h04d1e81_0 \n",
            "  wheel              pkgs/main/linux-64::wheel-0.45.1-py310h06a4308_0 \n",
            "  xorg-libx11        pkgs/main/linux-64::xorg-libx11-1.8.12-h9b100fa_1 \n",
            "  xorg-libxau        pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 \n",
            "  xorg-libxdmcp      pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 \n",
            "  xorg-xorgproto     pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1 \n",
            "  xz                 pkgs/main/linux-64::xz-5.6.4-h5eee18b_1 \n",
            "  zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1 \n",
            "\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages:\n",
            "python-3.10.18       | 26.5 MB   | :   0% 0/1 [00:00<?, ?it/s]\n",
            "setuptools-78.1.1    | 1.7 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "\n",
            "wheel-0.45.1         | 115 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
            "\n",
            "wheel-0.45.1         | 115 KB    | : 100% 1.0/1 [00:00<00:00, 20.07it/s]\u001b[A\u001b[A\n",
            "python-3.10.18       | 26.5 MB   | :  14% 0.13831733760104933/1 [00:00<00:00,  1.38it/s]\n",
            "\n",
            "wheel-0.45.1         | 115 KB    | : 100% 1.0/1 [00:00<00:00,  6.99it/s]\u001b[A\u001b[A\n",
            "\n",
            "python-3.10.18       | 26.5 MB   | :  75% 0.7510337139529317/1 [00:00<00:00,  2.71it/s]\n",
            "setuptools-78.1.1    | 1.7 MB    | : 100% 1.0/1 [00:00<00:00,  1.78it/s]\u001b[A\n",
            "                                                                        \n",
            "                                                                        \u001b[A\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\n",
            "Preparing transaction: \\ \b\b| \b\bdone\n",
            "Verifying transaction: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Executing transaction: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "#\n",
            "# To activate this environment, use\n",
            "#\n",
            "#     $ conda activate nenv\n",
            "#\n",
            "# To deactivate an active environment, use\n",
            "#\n",
            "#     $ conda deactivate\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!source /usr/local/bin/activate nenv && pip install -r requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "ejBzWU2ERETC",
        "outputId": "be3a1d96-c75d-468b-f720-98b88746ee44"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117\n",
            "Collecting scikit-learn==1.3.2 (from -r requirements.txt (line 2))\n",
            "  Downloading scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "Collecting six==1.16.0 (from -r requirements.txt (line 3))\n",
            "  Using cached six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)\n",
            "Collecting tensorboard==2.14.0 (from -r requirements.txt (line 4))\n",
            "  Using cached tensorboard-2.14.0-py3-none-any.whl.metadata (1.8 kB)\n",
            "Collecting timm==0.4.9 (from -r requirements.txt (line 5))\n",
            "  Using cached timm-0.4.9-py3-none-any.whl.metadata (27 kB)\n",
            "Collecting torch==1.13.1+cu117 (from -r requirements.txt (line 6))\n",
            "  Downloading https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp310-cp310-linux_x86_64.whl (1801.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 GB\u001b[0m \u001b[31m16.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchvision==0.14.1+cu117 (from -r requirements.txt (line 7))\n",
            "  Downloading https://download.pytorch.org/whl/cu117/torchvision-0.14.1%2Bcu117-cp310-cp310-linux_x86_64.whl (24.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.3/24.3 MB\u001b[0m \u001b[31m176.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting tqdm==4.66.2 (from -r requirements.txt (line 8))\n",
            "  Using cached tqdm-4.66.2-py3-none-any.whl.metadata (57 kB)\n",
            "Collecting numpy<2.0,>=1.17.3 (from scikit-learn==1.3.2->-r requirements.txt (line 2))\n",
            "  Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n",
            "Collecting scipy>=1.5.0 (from scikit-learn==1.3.2->-r requirements.txt (line 2))\n",
            "  Downloading scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n",
            "Collecting joblib>=1.1.1 (from scikit-learn==1.3.2->-r requirements.txt (line 2))\n",
            "  Downloading joblib-1.5.1-py3-none-any.whl.metadata (5.6 kB)\n",
            "Collecting threadpoolctl>=2.0.0 (from scikit-learn==1.3.2->-r requirements.txt (line 2))\n",
            "  Downloading threadpoolctl-3.6.0-py3-none-any.whl.metadata (13 kB)\n",
            "Collecting absl-py>=0.4 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached absl_py-2.3.1-py3-none-any.whl.metadata (3.3 kB)\n",
            "Collecting grpcio>=1.48.2 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading grpcio-1.74.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)\n",
            "Collecting google-auth<3,>=1.6.3 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached google_auth-2.40.3-py2.py3-none-any.whl.metadata (6.2 kB)\n",
            "Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached google_auth_oauthlib-1.0.0-py2.py3-none-any.whl.metadata (2.7 kB)\n",
            "Collecting markdown>=2.6.8 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading markdown-3.8.2-py3-none-any.whl.metadata (5.1 kB)\n",
            "Collecting protobuf>=3.19.6 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl.metadata (593 bytes)\n",
            "Collecting requests<3,>=2.21.0 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached requests-2.32.4-py3-none-any.whl.metadata (4.9 kB)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/envs/nenv/lib/python3.10/site-packages (from tensorboard==2.14.0->-r requirements.txt (line 4)) (78.1.1)\n",
            "Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl.metadata (1.1 kB)\n",
            "Collecting werkzeug>=1.0.1 (from tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading werkzeug-3.1.3-py3-none-any.whl.metadata (3.7 kB)\n",
            "Requirement already satisfied: wheel>=0.26 in /usr/local/envs/nenv/lib/python3.10/site-packages (from tensorboard==2.14.0->-r requirements.txt (line 4)) (0.45.1)\n",
            "Collecting typing-extensions (from torch==1.13.1+cu117->-r requirements.txt (line 6))\n",
            "  Downloading typing_extensions-4.14.1-py3-none-any.whl.metadata (3.0 kB)\n",
            "Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.14.1+cu117->-r requirements.txt (line 7))\n",
            "  Downloading pillow-11.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (9.0 kB)\n",
            "Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached cachetools-5.5.2-py3-none-any.whl.metadata (5.4 kB)\n",
            "Collecting pyasn1-modules>=0.2.1 (from google-auth<3,>=1.6.3->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached pyasn1_modules-0.4.2-py3-none-any.whl.metadata (3.5 kB)\n",
            "Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached rsa-4.9.1-py3-none-any.whl.metadata (5.6 kB)\n",
            "Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<1.1,>=0.5->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached requests_oauthlib-2.0.0-py2.py3-none-any.whl.metadata (11 kB)\n",
            "Collecting charset_normalizer<4,>=2 (from requests<3,>=2.21.0->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (35 kB)\n",
            "Collecting idna<4,>=2.5 (from requests<3,>=2.21.0->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached idna-3.10-py3-none-any.whl.metadata (10 kB)\n",
            "Collecting urllib3<3,>=1.21.1 (from requests<3,>=2.21.0->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Downloading urllib3-2.5.0-py3-none-any.whl.metadata (6.5 kB)\n",
            "Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached certifi-2025.8.3-py3-none-any.whl.metadata (2.4 kB)\n",
            "Collecting pyasn1>=0.1.3 (from rsa<5,>=3.1.4->google-auth<3,>=1.6.3->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached pyasn1-0.6.1-py3-none-any.whl.metadata (8.4 kB)\n",
            "Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
            "  Using cached oauthlib-3.3.1-py3-none-any.whl.metadata (7.9 kB)\n",
            "Collecting MarkupSafe>=2.1.1 (from werkzeug>=1.0.1->tensorboard==2.14.0->-r requirements.txt (line 4))\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!source /usr/local/bin/activate nenv && pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ix7j-QrjWPEe",
        "outputId": "564f6cb6-cf09-408b-ad21-6ac434d33f9a"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://download.pytorch.org/whl/cu118\n",
            "Requirement already satisfied: torch in /usr/local/envs/nenv/lib/python3.10/site-packages (1.13.1+cu117)\n",
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            "Collecting torchaudio\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.7.1%2Bcu118-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (6.6 kB)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/envs/nenv/lib/python3.10/site-packages (from torch) (4.14.1)\n",
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            "Requirement already satisfied: requests in /usr/local/envs/nenv/lib/python3.10/site-packages (from torchvision) (2.32.4)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/envs/nenv/lib/python3.10/site-packages (from torchvision) (11.3.0)\n",
            "INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.7.0%2Bcu118-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (6.6 kB)\n",
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            "\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.1.1%2Bcu118-cp310-cp310-linux_x86_64.whl (3.2 MB)\n",
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            "\u001b[?25hCollecting torchvision\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.22.1%2Bcu118-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (6.1 kB)\n",
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            "\u001b[?25hCollecting nvidia-cusolver-cu11==11.4.1.48 (from torch)\n",
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            "  Downloading https://download.pytorch.org/whl/cu118/nvidia_nvtx_cu11-11.8.86-py3-none-manylinux1_x86_64.whl (99 kB)\n",
            "Collecting triton==3.3.1 (from torch)\n",
            "  Downloading https://download.pytorch.org/whl/triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.5 kB)\n",
            "Requirement already satisfied: setuptools>=40.8.0 in /usr/local/envs/nenv/lib/python3.10/site-packages (from triton==3.3.1->torch) (78.1.1)\n",
            "Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch)\n",
            "  Downloading https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)\n",
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            "Downloading https://download.pytorch.org/whl/cu118/torchvision-0.22.1%2Bcu118-cp310-cp310-manylinux_2_28_x86_64.whl (6.7 MB)\n",
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            "\u001b[?25hDownloading https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl (11 kB)\n",
            "Downloading https://download.pytorch.org/whl/fsspec-2024.6.1-py3-none-any.whl (177 kB)\n",
            "Downloading https://download.pytorch.org/whl/Jinja2-3.1.4-py3-none-any.whl (133 kB)\n",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m92.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: mpmath, triton, sympy, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, networkx, jinja2, fsspec, filelock, nvidia-cusolver-cu11, nvidia-cudnn-cu11, torch, torchvision, torchaudio\n",
            "\u001b[2K  Attempting uninstall: torch\n",
            "\u001b[2K    Found existing installation: torch 1.13.1+cu117\n",
            "\u001b[2K    Uninstalling torch-1.13.1+cu117:\n",
            "\u001b[2K      Successfully uninstalled torch-1.13.1+cu117\n",
            "\u001b[2K  Attempting uninstall: torchvision\n",
            "\u001b[2K    Found existing installation: torchvision 0.14.1+cu117\n",
            "\u001b[2K    Uninstalling torchvision-0.14.1+cu117:\n",
            "\u001b[2K      Successfully uninstalled torchvision-0.14.1+cu117\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21/21\u001b[0m [torchaudio]\n",
            "\u001b[1A\u001b[2KSuccessfully installed filelock-3.13.1 fsspec-2024.6.1 jinja2-3.1.4 mpmath-1.3.0 networkx-3.3 nvidia-cublas-cu11-11.11.3.6 nvidia-cuda-cupti-cu11-11.8.87 nvidia-cuda-nvrtc-cu11-11.8.89 nvidia-cuda-runtime-cu11-11.8.89 nvidia-cudnn-cu11-9.1.0.70 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.3.0.86 nvidia-cusolver-cu11-11.4.1.48 nvidia-cusparse-cu11-11.7.5.86 nvidia-nccl-cu11-2.21.5 nvidia-nvtx-cu11-11.8.86 sympy-1.13.3 torch-2.7.1+cu118 torchaudio-2.7.1+cu118 torchvision-0.22.1+cu118 triton-3.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown 0B4IapRTv9pJ1WGZVd1VDMmhwdlE"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nrXirABsRUxa",
        "outputId": "598cf9ff-a848-4ef8-e2bf-a88f552ff0f8"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From (original): https://drive.google.com/uc?id=0B4IapRTv9pJ1WGZVd1VDMmhwdlE\n",
            "From (redirected): https://drive.google.com/uc?id=0B4IapRTv9pJ1WGZVd1VDMmhwdlE&confirm=t&uuid=50c7b9d7-f9dc-411a-bad5-7a5f2f2559e5\n",
            "To: /content/EUDA/domain_adaptation_images.tar.gz\n",
            "100% 77.2M/77.2M [00:06<00:00, 11.9MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%mkdir datasetsoffice-31"
      ],
      "metadata": {
        "id": "_sXpaEUESD6K"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!tar -xvzf /content/EUDA/domain_adaptation_images.tar.gz -C /content/EUDA/datasetsoffice-31\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "L8MUFFqMRtBq",
        "outputId": "da4a7a2c-e1cd-4f99-d99e-36f422b51791"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "webcam/images/trash_can/frame_0003.jpg\n",
            "webcam/images/trash_can/frame_0004.jpg\n",
            "webcam/images/trash_can/frame_0005.jpg\n",
            "webcam/images/trash_can/frame_0006.jpg\n",
            "webcam/images/trash_can/frame_0007.jpg\n",
            "webcam/images/trash_can/frame_0008.jpg\n",
            "webcam/images/trash_can/frame_0009.jpg\n",
            "webcam/images/trash_can/frame_0010.jpg\n",
            "webcam/images/trash_can/frame_0011.jpg\n",
            "webcam/images/trash_can/frame_0012.jpg\n",
            "webcam/images/trash_can/frame_0013.jpg\n",
            "webcam/images/trash_can/frame_0014.jpg\n",
            "webcam/images/trash_can/frame_0015.jpg\n",
            "webcam/images/trash_can/frame_0016.jpg\n",
            "webcam/images/trash_can/frame_0017.jpg\n",
            "webcam/images/trash_can/frame_0018.jpg\n",
            "webcam/images/trash_can/frame_0019.jpg\n",
            "webcam/images/trash_can/frame_0020.jpg\n",
            "webcam/images/trash_can/frame_0021.jpg\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/facebookresearch/dinov2.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lixatOFZTNh6",
        "outputId": "88511933-10f2-4e3f-e5a4-02ea59b9e950"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'dinov2'...\n",
            "remote: Enumerating objects: 535, done.\u001b[K\n",
            "remote: Total 535 (delta 0), reused 0 (delta 0), pack-reused 535 (from 1)\u001b[K\n",
            "Receiving objects: 100% (535/535), 1.77 MiB | 33.53 MiB/s, done.\n",
            "Resolving deltas: 100% (259/259), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#on /content/EUDA/dinov2/dinov2/models/vision_transformer.py\n",
        "#change line 21 to\n",
        "#from dinov2.dinov2.layers import Mlp, PatchEmbed, SwiGLUFFNFused, MemEffAttention, NestedTensorBlock as Block"
      ],
      "metadata": {
        "id": "bDHIrKRPUY7B"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!source /usr/local/bin/activate nenv && python3 Main.py \\\n",
        "  --train_batch_size 32 \\\n",
        "  --dataset office \\\n",
        "  --name office_da \\\n",
        "  --train_list /content/EUDA/Data/office/dslr_list.txt \\\n",
        "  --test_list /content/EUDA/Data/office/amazon_list.txt \\\n",
        "  --num_classes 65 \\\n",
        "  --backbone_size base \\\n",
        "  --bottleneck_size base \\\n",
        "  --num_steps 2000 \\\n",
        "  --img_size 224 \\\n",
        "  --gpu_id 0 \\\n",
        "  --dataset_path /content/EUDA/datasets\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uJfUt9j1SNWJ",
        "outputId": "ae0158fc-800b-46c0-a838-e5e372436d5c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WARNING:root:Adapting /content/EUDA/Data/office/dslr_list.txt to /content/EUDA/Data/office/amazon_list.txt\n",
            "WARNING:__main__:Process device: cuda:0, gpu id: 0\n",
            "/content/EUDA/dinov2/dinov2/layers/swiglu_ffn.py:51: UserWarning: xFormers is not available (SwiGLU)\n",
            "  warnings.warn(\"xFormers is not available (SwiGLU)\")\n",
            "/content/EUDA/dinov2/dinov2/layers/attention.py:33: UserWarning: xFormers is not available (Attention)\n",
            "  warnings.warn(\"xFormers is not available (Attention)\")\n",
            "/content/EUDA/dinov2/dinov2/layers/block.py:40: UserWarning: xFormers is not available (Block)\n",
            "  warnings.warn(\"xFormers is not available (Block)\")\n",
            "/usr/local/envs/nenv/lib/python3.10/site-packages/torch/utils/data/dataloader.py:626: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(\n",
            "Training (1 / 2000 Steps) (loss=2.98803):   0% 0/88 [00:05<?, ?it/s]/usr/local/envs/nenv/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:332: UserWarning: To get the last learning rate computed by the scheduler, please use `get_last_lr()`.\n",
            "  _warn_get_lr_called_within_step(self)\n",
            "Training (88 / 2000 Steps) (loss=1.79481): 100% 88/88 [03:01<00:00,  2.06s/it]\n",
            "Training (100 / 2000 Steps) (loss=1.31001):  12% 11/88 [00:25<02:32,  1.98s/it]\n",
            "Validating... (loss=X.X):   0% 0/45 [00:00<?, ?it/s]\u001b[A\n",
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            "Validating... (loss=3.55539):  93% 42/45 [00:36<00:02,  1.16it/s]\u001b[A\n",
            "Validating... (loss=2.85986):  93% 42/45 [00:37<00:02,  1.16it/s]\u001b[A\n",
            "Validating... (loss=2.85986):  96% 43/45 [00:37<00:01,  1.16it/s]\u001b[A\n",
            "Validating... (loss=3.42853):  96% 43/45 [00:38<00:01,  1.16it/s]\u001b[A\n",
            "Validating... (loss=3.42853):  98% 44/45 [00:38<00:00,  1.16it/s]\u001b[A\n",
            "Validating... (loss=3.89900): 100% 45/45 [00:38<00:00,  1.16it/s]\n",
            "Training (129 / 2000 Steps) (loss=0.55697):  47% 41/88 [02:13<02:32,  3.25s/it]\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/EUDA/Main.py\", line 128, in <module>\n",
            "    main()\n",
            "  File \"/content/EUDA/Main.py\", line 125, in main\n",
            "    train(args, model)\n",
            "  File \"/content/EUDA/Process/Train.py\", line 119, in train\n",
            "    losses.update(loss.item())\n",
            "KeyboardInterrupt\n",
            "^C\n"
          ]
        }
      ]
    }
  ]
}