Stanford_Cars_ProMetaR/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","source":["#change line 4 of /content/ProMetaR/scripts/base2new_train.sh to\n","#DATA=\"content/ProMetaR/data\"  # to the Root folder just above your datset folder is"],"metadata":{"id":"Bs5gwwyEGUrW"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!git clone https://github.com/jhpohovey/StanfordCars.git\n","!mv StanfordCars/stanford_cars ./stanford_cars"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"J1R8t_Yr8H9z","outputId":"4822deaa-53bf-4595-acb2-cc908a57a655","executionInfo":{"status":"ok","timestamp":1755266601771,"user_tz":-345,"elapsed":72011,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'StanfordCars'...\n","remote: Enumerating objects: 16175, done.\u001b[K\n","remote: Counting objects: 100% (14/14), done.\u001b[K\n","remote: Compressing objects: 100% (13/13), done.\u001b[K\n","remote: Total 16175 (delta 5), reused 4 (delta 0), pack-reused 16161 (from 1)\u001b[K\n","Receiving objects: 100% (16175/16175), 1.82 GiB | 30.54 MiB/s, done.\n","Resolving deltas: 100% (5/5), done.\n","Updating files: 100% (16196/16196), done.\n"]}]},{"cell_type":"code","source":["!gdown 1ObCFbaAgVu0I-k_Au-gIUcefirdAuizT"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1WweKXSm-tVn","outputId":"3d37a2fc-11b2-4a5e-a7d0-69526c9968b4","executionInfo":{"status":"ok","timestamp":1755266604460,"user_tz":-345,"elapsed":2682,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading...\n","From: https://drive.google.com/uc?id=1ObCFbaAgVu0I-k_Au-gIUcefirdAuizT\n","To: /content/split_zhou_StanfordCars.json\n","\r  0% 0.00/1.86M [00:00<?, ?B/s]\r 57% 1.05M/1.86M [00:00<00:00, 10.2MB/s]\r100% 1.86M/1.86M [00:00<00:00, 14.7MB/s]\n"]}]},{"cell_type":"code","source":["!mv /content/split_zhou_StanfordCars.json /content/stanford_cars"],"metadata":{"id":"RycpfIbd_BSM","executionInfo":{"status":"ok","timestamp":1755266604566,"user_tz":-345,"elapsed":92,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["!git clone https://github.com/mlvlab/ProMetaR.git"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4kWKuDzF_I8E","outputId":"199bd5e1-0519-4523-dd92-3735d60fa0da","executionInfo":{"status":"ok","timestamp":1755266605605,"user_tz":-345,"elapsed":1025,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'ProMetaR'...\n","remote: Enumerating objects: 141, done.\u001b[K\n","remote: Counting objects: 100% (141/141), done.\u001b[K\n","remote: Compressing objects: 100% (93/93), done.\u001b[K\n","remote: Total 141 (delta 45), reused 108 (delta 28), pack-reused 0 (from 0)\u001b[K\n","Receiving objects: 100% (141/141), 2.90 MiB | 6.91 MiB/s, done.\n","Resolving deltas: 100% (45/45), done.\n"]}]},{"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/"},"id":"sXUbw0_c_ZNQ","outputId":"ff30679c-a5fe-41dd-f542-bcfeeb969da4","executionInfo":{"status":"ok","timestamp":1755266628492,"user_tz":-345,"elapsed":22885,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["--2025-08-15 14:03:30--  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:bf9e, ...\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   171MB/s    in 0.9s    \n","\n","2025-08-15 14:03:32 (171 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 -y -n nenv python=3.8"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"pHr1a_Kd_aKe","outputId":"d514f4b9-6960-4904-da31-2ec7bd9c4d4c","executionInfo":{"status":"ok","timestamp":1755266637242,"user_tz":-345,"elapsed":8747,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":6,"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\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \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=3.8\n","\n","\n","The following packages will be downloaded:\n","\n","    package                    |            build\n","    ---------------------------|-----------------\n","    ca-certificates-2025.7.15  |       h06a4308_0         126 KB\n","    ncurses-6.5                |       h7934f7d_0         1.1 MB\n","    openssl-3.0.17             |       h5eee18b_0         5.2 MB\n","    pip-24.2                   |   py38h06a4308_0         2.2 MB\n","    python-3.8.20              |       he870216_0        23.8 MB\n","    readline-8.3               |       hc2a1206_0         471 KB\n","    setuptools-75.1.0          |   py38h06a4308_0         1.7 MB\n","    tk-8.6.15                  |       h54e0aa7_0         3.4 MB\n","    wheel-0.44.0               |   py38h06a4308_0         108 KB\n","    ------------------------------------------------------------\n","                                           Total:        38.1 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","  ca-certificates    pkgs/main/linux-64::ca-certificates-2025.7.15-h06a4308_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","  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/linux-64::pip-24.2-py38h06a4308_0 \n","  pthread-stubs      pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 \n","  python             pkgs/main/linux-64::python-3.8.20-he870216_0 \n","  readline           pkgs/main/linux-64::readline-8.3-hc2a1206_0 \n","  setuptools         pkgs/main/linux-64::setuptools-75.1.0-py38h06a4308_0 \n","  sqlite             pkgs/main/linux-64::sqlite-3.50.2-hb25bd0a_1 \n","  tk                 pkgs/main/linux-64::tk-8.6.15-h54e0aa7_0 \n","  wheel              pkgs/main/linux-64::wheel-0.44.0-py38h06a4308_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-3.8.20        | 23.8 MB   | :   0% 0/1 [00:00<?, ?it/s]\n","openssl-3.0.17       | 5.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n","\n","tk-8.6.15            | 3.4 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n","\n","\n","pip-24.2             | 2.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","tk-8.6.15            | 3.4 MB    | :   0% 0.00453827661272385/1 [00:00<00:22, 22.63s/it]\u001b[A\u001b[A\n","\n","\n","pip-24.2             | 2.2 MB    | :   1% 0.014146381897051917/1 [00:00<00:07,  7.52s/it]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | :   2% 0.01849850907707298/1 [00:00<00:05,  5.70s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n","python-3.8.20        | 23.8 MB   | :   0% 0.0006572008194954067/1 [00:00<03:03, 184.01s/it]\n","\n","tk-8.6.15            | 3.4 MB    | :  54% 0.544593193526862/1 [00:00<00:00,  3.16it/s]  \u001b[A\u001b[A\n","python-3.8.20        | 23.8 MB   | :  10% 0.098580122924311/1 [00:00<00:01,  1.88s/it]     \n","\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | : 100% 1.0/1 [00:00<00:00,  5.41it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | : 100% 1.0/1 [00:00<00:00,  5.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","pip-24.2             | 2.2 MB    | : 100% 1.0/1 [00:00<00:00,  4.99it/s]                 \u001b[A\u001b[A\u001b[A\n","\n","\n","pip-24.2             | 2.2 MB    | : 100% 1.0/1 [00:00<00:00,  4.99it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | :   1% 0.014401655346517857/1 [00:00<00:18, 18.90s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | :   3% 0.03400397653924861/1 [00:00<00:08,  8.33s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:00<00:00,  8.33s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","python-3.8.20        | 23.8 MB   | :  27% 0.26550913107614427/1 [00:00<00:00,  1.03it/s]\n","\n","tk-8.6.15            | 3.4 MB    | : 100% 1.0/1 [00:00<00:00,  3.32it/s]              \u001b[A\u001b[A\n","\n","tk-8.6.15            | 3.4 MB    | : 100% 1.0/1 [00:00<00:00,  3.32it/s]\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | :  15% 0.14783134378186213/1 [00:00<00:02,  2.37s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | : 100% 1.0/1 [00:00<00:00,  2.37s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | :  13% 0.12723855676187815/1 [00:00<00:02,  2.81s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | : 100% 1.0/1 [00:00<00:00,  2.81s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","openssl-3.0.17       | 5.2 MB    | : 100% 1.0/1 [00:00<00:00,  2.90it/s]               \u001b[A\n","python-3.8.20        | 23.8 MB   | : 100% 1.0/1 [00:00<00:00,  1.02it/s]\n","\n","\n","pip-24.2             | 2.2 MB    | : 100% 1.0/1 [00:01<00:00,  4.99it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | : 100% 1.0/1 [00:01<00:00,  5.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","tk-8.6.15            | 3.4 MB    | : 100% 1.0/1 [00:01<00:00,  3.32it/s]\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | : 100% 1.0/1 [00:01<00:00,  1.49s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | : 100% 1.0/1 [00:01<00:00,  1.49s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | : 100% 1.0/1 [00:01<00:00,  1.49s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | : 100% 1.0/1 [00:01<00:00,  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kB)\n","Downloading filelock-3.16.1-py3-none-any.whl (16 kB)\n","Downloading PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (746 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m746.5/746.5 kB\u001b[0m \u001b[31m41.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hDownloading cachetools-5.5.2-py3-none-any.whl (10 kB)\n","Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)\n","Downloading charset_normalizer-3.4.3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (147 kB)\n","Downloading idna-3.10-py3-none-any.whl (70 kB)\n","Downloading importlib_metadata-8.5.0-py3-none-any.whl (26 kB)\n","Downloading MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26 kB)\n","Downloading pyasn1_modules-0.4.2-py3-none-any.whl (181 kB)\n","Downloading PySocks-1.7.1-py3-none-any.whl (16 kB)\n","Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)\n","Downloading requests_oauthlib-2.0.0-py2.py3-none-any.whl (24 kB)\n","Downloading rsa-4.9.1-py3-none-any.whl (34 kB)\n","Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)\n","Downloading soupsieve-2.7-py3-none-any.whl (36 kB)\n","Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)\n","Downloading urllib3-2.2.3-py3-none-any.whl (126 kB)\n","Downloading littleutils-0.2.4-py3-none-any.whl (8.1 kB)\n","Downloading oauthlib-3.3.1-py3-none-any.whl (160 kB)\n","Downloading pyasn1-0.6.1-py3-none-any.whl (83 kB)\n","Downloading zipp-3.20.2-py3-none-any.whl (9.2 kB)\n","Installing collected packages: yapf, wcwidth, pytz, mccabe, zipp, urllib3, tzdata, tqdm, threadpoolctl, tensorboard-data-server, tabulate, soupsieve, six, scipy, regex, PyYAML, PySocks, pyflakes, pycodestyle, pyasn1, protobuf, oauthlib, MarkupSafe, littleutils, joblib, isort, idna, grpcio, future, ftfy, filelock, entrypoints, charset_normalizer, certifi, cachetools, absl-py, yacs, werkzeug, scikit-learn, rsa, requests, python-dateutil, pyasn1-modules, importlib-metadata, flake8, beautifulsoup4, requests-oauthlib, pandas, outdated, markdown, google-auth, ogb, google-auth-oauthlib, gdown, wilds, tb-nightly\n","Successfully installed MarkupSafe-2.1.5 PySocks-1.7.1 PyYAML-6.0.2 absl-py-2.3.1 beautifulsoup4-4.13.4 cachetools-5.5.2 certifi-2025.8.3 charset_normalizer-3.4.3 entrypoints-0.3 filelock-3.16.1 flake8-3.7.9 ftfy-6.2.3 future-1.0.0 gdown-5.2.0 google-auth-2.40.3 google-auth-oauthlib-1.0.0 grpcio-1.70.0 idna-3.10 importlib-metadata-8.5.0 isort-4.3.21 joblib-1.4.2 littleutils-0.2.4 markdown-3.7 mccabe-0.6.1 oauthlib-3.3.1 ogb-1.3.6 outdated-0.2.2 pandas-2.0.3 protobuf-5.29.5 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycodestyle-2.5.0 pyflakes-2.1.1 python-dateutil-2.9.0.post0 pytz-2025.2 regex-2024.11.6 requests-2.32.4 requests-oauthlib-2.0.0 rsa-4.9.1 scikit-learn-1.3.2 scipy-1.10.1 six-1.17.0 soupsieve-2.7 tabulate-0.9.0 tb-nightly-2.14.0a20230808 tensorboard-data-server-0.7.2 threadpoolctl-3.5.0 tqdm-4.67.1 tzdata-2025.2 urllib3-2.2.3 wcwidth-0.2.13 werkzeug-3.0.6 wilds-1.2.2 yacs-0.1.8 yapf-0.29.0 zipp-3.20.2\n","running develop\n","/usr/local/envs/nenv/lib/python3.8/site-packages/setuptools/command/develop.py:41: EasyInstallDeprecationWarning: easy_install command is deprecated.\n","!!\n","\n","        ********************************************************************************\n","        Please avoid running ``setup.py`` and ``easy_install``.\n","        Instead, use pypa/build, pypa/installer or other\n","        standards-based tools.\n","\n","        See https://github.com/pypa/setuptools/issues/917 for details.\n","        ********************************************************************************\n","\n","!!\n","  easy_install.initialize_options(self)\n","/usr/local/envs/nenv/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n","!!\n","\n","        ********************************************************************************\n","        Please avoid running ``setup.py`` directly.\n","        Instead, use pypa/build, pypa/installer or other\n","        standards-based tools.\n","\n","        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n","        ********************************************************************************\n","\n","!!\n","  self.initialize_options()\n","running egg_info\n","creating dassl.egg-info\n","writing dassl.egg-info/PKG-INFO\n","writing dependency_links to dassl.egg-info/dependency_links.txt\n","writing requirements to dassl.egg-info/requires.txt\n","writing top-level names to dassl.egg-info/top_level.txt\n","writing manifest file 'dassl.egg-info/SOURCES.txt'\n","reading manifest file 'dassl.egg-info/SOURCES.txt'\n","adding license file 'LICENSE'\n","writing manifest file 'dassl.egg-info/SOURCES.txt'\n","running build_ext\n","Creating /usr/local/envs/nenv/lib/python3.8/site-packages/dassl.egg-link (link to .)\n","Adding dassl 0.6.3 to easy-install.pth file\n","\n","Installed /content/Dassl.pytorch\n","Processing dependencies for dassl==0.6.3\n","Searching for tabulate==0.9.0\n","Best match: tabulate 0.9.0\n","Adding tabulate 0.9.0 to easy-install.pth file\n","Installing tabulate script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for wilds==1.2.2\n","Best match: wilds 1.2.2\n","Adding wilds 1.2.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for regex==2024.11.6\n","Best match: regex 2024.11.6\n","Adding regex 2024.11.6 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for ftfy==6.2.3\n","Best match: ftfy 6.2.3\n","Adding ftfy 6.2.3 to easy-install.pth file\n","Installing ftfy script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for tqdm==4.67.1\n","Best match: tqdm 4.67.1\n","Adding tqdm 4.67.1 to easy-install.pth file\n","Installing tqdm script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for scikit-learn==1.3.2\n","Best match: scikit-learn 1.3.2\n","Adding scikit-learn 1.3.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for scipy==1.10.1\n","Best match: scipy 1.10.1\n","Adding scipy 1.10.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for future==1.0.0\n","Best match: future 1.0.0\n","Adding future 1.0.0 to easy-install.pth file\n","Installing futurize script to /usr/local/envs/nenv/bin\n","Installing pasteurize script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for tb-nightly==2.14.0a20230808\n","Best match: tb-nightly 2.14.0a20230808\n","Adding tb-nightly 2.14.0a20230808 to easy-install.pth file\n","Installing tensorboard script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for gdown==5.2.0\n","Best match: gdown 5.2.0\n","Adding gdown 5.2.0 to easy-install.pth file\n","Installing gdown script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for yacs==0.1.8\n","Best match: yacs 0.1.8\n","Adding yacs 0.1.8 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for isort==4.3.21\n","Best match: isort 4.3.21\n","Adding isort 4.3.21 to easy-install.pth file\n","Installing isort script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for yapf==0.29.0\n","Best match: yapf 0.29.0\n","Adding yapf 0.29.0 to easy-install.pth file\n","Installing yapf script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for flake8==3.7.9\n","Best match: flake8 3.7.9\n","Adding flake8 3.7.9 to easy-install.pth file\n","Installing flake8 script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for torchvision==0.10.0+cu111\n","Best match: torchvision 0.10.0+cu111\n","Adding torchvision 0.10.0+cu111 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for torch==1.9.0+cu111\n","Best match: torch 1.9.0+cu111\n","Adding torch 1.9.0+cu111 to easy-install.pth file\n","Installing convert-caffe2-to-onnx script to /usr/local/envs/nenv/bin\n","Installing convert-onnx-to-caffe2 script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pytz==2025.2\n","Best match: pytz 2025.2\n","Adding pytz 2025.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pillow==10.4.0\n","Best match: pillow 10.4.0\n","Adding pillow 10.4.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pandas==2.0.3\n","Best match: pandas 2.0.3\n","Adding pandas 2.0.3 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for outdated==0.2.2\n","Best match: outdated 0.2.2\n","Adding outdated 0.2.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for ogb==1.3.6\n","Best match: ogb 1.3.6\n","Adding ogb 1.3.6 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for numpy==1.24.4\n","Best match: numpy 1.24.4\n","Adding numpy 1.24.4 to easy-install.pth file\n","Installing f2py script to /usr/local/envs/nenv/bin\n","Installing f2py3 script to /usr/local/envs/nenv/bin\n","Installing f2py3.8 script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for wcwidth==0.2.13\n","Best match: wcwidth 0.2.13\n","Adding wcwidth 0.2.13 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for threadpoolctl==3.5.0\n","Best match: threadpoolctl 3.5.0\n","Adding threadpoolctl 3.5.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for joblib==1.4.2\n","Best match: joblib 1.4.2\n","Adding joblib 1.4.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for wheel==0.44.0\n","Best match: wheel 0.44.0\n","Adding wheel 0.44.0 to easy-install.pth file\n","Installing wheel script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for werkzeug==3.0.6\n","Best match: werkzeug 3.0.6\n","Adding werkzeug 3.0.6 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for tensorboard-data-server==0.7.2\n","Best match: tensorboard-data-server 0.7.2\n","Adding tensorboard-data-server 0.7.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for setuptools==75.1.0\n","Best match: setuptools 75.1.0\n","Adding setuptools 75.1.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for requests==2.32.4\n","Best match: requests 2.32.4\n","Adding requests 2.32.4 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for protobuf==5.29.5\n","Best match: protobuf 5.29.5\n","Adding protobuf 5.29.5 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for Markdown==3.7\n","Best match: Markdown 3.7\n","Adding Markdown 3.7 to easy-install.pth file\n","Installing markdown_py script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for google-auth-oauthlib==1.0.0\n","Best match: google-auth-oauthlib 1.0.0\n","Adding google-auth-oauthlib 1.0.0 to easy-install.pth file\n","Installing google-oauthlib-tool script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for google-auth==2.40.3\n","Best match: google-auth 2.40.3\n","Adding google-auth 2.40.3 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for grpcio==1.70.0\n","Best match: grpcio 1.70.0\n","Adding grpcio 1.70.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for absl-py==2.3.1\n","Best match: absl-py 2.3.1\n","Adding absl-py 2.3.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for filelock==3.16.1\n","Best match: filelock 3.16.1\n","Adding filelock 3.16.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for beautifulsoup4==4.13.4\n","Best match: beautifulsoup4 4.13.4\n","Adding beautifulsoup4 4.13.4 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for PyYAML==6.0.2\n","Best match: PyYAML 6.0.2\n","Adding PyYAML 6.0.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for mccabe==0.6.1\n","Best match: mccabe 0.6.1\n","Adding mccabe 0.6.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pycodestyle==2.5.0\n","Best match: pycodestyle 2.5.0\n","Adding pycodestyle 2.5.0 to easy-install.pth file\n","Installing pycodestyle script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pyflakes==2.1.1\n","Best match: pyflakes 2.1.1\n","Adding pyflakes 2.1.1 to easy-install.pth file\n","Installing pyflakes script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for entrypoints==0.3\n","Best match: entrypoints 0.3\n","Adding entrypoints 0.3 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for typing-extensions==4.13.2\n","Best match: typing-extensions 4.13.2\n","Adding typing-extensions 4.13.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for tzdata==2025.2\n","Best match: tzdata 2025.2\n","Adding tzdata 2025.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for python-dateutil==2.9.0.post0\n","Best match: python-dateutil 2.9.0.post0\n","Adding python-dateutil 2.9.0.post0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for littleutils==0.2.4\n","Best match: littleutils 0.2.4\n","Adding littleutils 0.2.4 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for urllib3==2.2.3\n","Best match: urllib3 2.2.3\n","Adding urllib3 2.2.3 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for six==1.17.0\n","Best match: six 1.17.0\n","Adding six 1.17.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for MarkupSafe==2.1.5\n","Best match: MarkupSafe 2.1.5\n","Adding MarkupSafe 2.1.5 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for certifi==2025.8.3\n","Best match: certifi 2025.8.3\n","Adding certifi 2025.8.3 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for idna==3.10\n","Best match: idna 3.10\n","Adding idna 3.10 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for charset-normalizer==3.4.3\n","Best match: charset-normalizer 3.4.3\n","Adding charset-normalizer 3.4.3 to easy-install.pth file\n","Installing normalizer script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for importlib-metadata==8.5.0\n","Best match: importlib-metadata 8.5.0\n","Adding importlib-metadata 8.5.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for requests-oauthlib==2.0.0\n","Best match: requests-oauthlib 2.0.0\n","Adding requests-oauthlib 2.0.0 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for rsa==4.9.1\n","Best match: rsa 4.9.1\n","Adding rsa 4.9.1 to easy-install.pth file\n","Installing pyrsa-decrypt script to /usr/local/envs/nenv/bin\n","Installing pyrsa-encrypt script to /usr/local/envs/nenv/bin\n","Installing pyrsa-keygen script to /usr/local/envs/nenv/bin\n","Installing pyrsa-priv2pub script to /usr/local/envs/nenv/bin\n","Installing pyrsa-sign script to /usr/local/envs/nenv/bin\n","Installing pyrsa-verify script to /usr/local/envs/nenv/bin\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pyasn1-modules==0.4.2\n","Best match: pyasn1-modules 0.4.2\n","Adding pyasn1-modules 0.4.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for cachetools==5.5.2\n","Best match: cachetools 5.5.2\n","Adding cachetools 5.5.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for PySocks==1.7.1\n","Best match: PySocks 1.7.1\n","Adding PySocks 1.7.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for soupsieve==2.7\n","Best match: soupsieve 2.7\n","Adding soupsieve 2.7 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for zipp==3.20.2\n","Best match: zipp 3.20.2\n","Adding zipp 3.20.2 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for oauthlib==3.3.1\n","Best match: oauthlib 3.3.1\n","Adding oauthlib 3.3.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Searching for pyasn1==0.6.1\n","Best match: pyasn1 0.6.1\n","Adding pyasn1 0.6.1 to easy-install.pth file\n","\n","Using /usr/local/envs/nenv/lib/python3.8/site-packages\n","Finished processing dependencies for dassl==0.6.3\n","/content\n"]}]},{"cell_type":"code","source":["# Clone ProMetaR code base\n","!git clone https://github.com/mlvlab/ProMetaR.git\n","\n","%cd ProMetaR/\n","# Install requirements\n","\n","!source /usr/local/bin/activate nenv &&  pip install -r requirements.txt\n","\n","# Update setuptools package\n","!source /usr/local/bin/activate nenv && pip install setuptools==59.5.0"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iO2KGA88A4bV","outputId":"a5ca709b-63ec-4e97-cfbe-15f4fabf7e9e","collapsed":true,"executionInfo":{"status":"ok","timestamp":1755266843701,"user_tz":-345,"elapsed":53925,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}}},"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["fatal: destination path 'ProMetaR' already exists and is not an empty directory.\n","/content/ProMetaR\n","Collecting ftfy==6.1.1 (from -r requirements.txt (line 1))\n","  Downloading ftfy-6.1.1-py3-none-any.whl.metadata (6.1 kB)\n","Requirement already satisfied: regex in /usr/local/envs/nenv/lib/python3.8/site-packages (from -r requirements.txt (line 2)) (2024.11.6)\n","Requirement already satisfied: tqdm in /usr/local/envs/nenv/lib/python3.8/site-packages (from -r requirements.txt (line 3)) (4.67.1)\n","Collecting learn2learn==0.2.0 (from -r requirements.txt (line 4))\n","  Downloading learn2learn-0.2.0.tar.gz (7.0 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m17.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: wcwidth>=0.2.5 in /usr/local/envs/nenv/lib/python3.8/site-packages (from ftfy==6.1.1->-r requirements.txt (line 1)) (0.2.13)\n","Requirement already satisfied: numpy>=1.15.4 in /usr/local/envs/nenv/lib/python3.8/site-packages (from learn2learn==0.2.0->-r requirements.txt (line 4)) (1.24.4)\n","Collecting gym>=0.14.0 (from learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading gym-0.26.2.tar.gz (721 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m721.7/721.7 kB\u001b[0m \u001b[31m38.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n","  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n","  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: torch>=1.1.0 in /usr/local/envs/nenv/lib/python3.8/site-packages (from learn2learn==0.2.0->-r requirements.txt (line 4)) (1.9.0+cu111)\n","Requirement already satisfied: torchvision>=0.3.0 in /usr/local/envs/nenv/lib/python3.8/site-packages (from learn2learn==0.2.0->-r requirements.txt (line 4)) (0.10.0+cu111)\n","Requirement already satisfied: scipy in /usr/local/envs/nenv/lib/python3.8/site-packages (from learn2learn==0.2.0->-r requirements.txt (line 4)) (1.10.1)\n","Requirement already satisfied: requests in /usr/local/envs/nenv/lib/python3.8/site-packages (from learn2learn==0.2.0->-r requirements.txt (line 4)) (2.32.4)\n","Collecting gsutil (from learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading gsutil-5.34.tar.gz (3.0 MB)\n","\u001b[2K     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qpth>=0.0.15->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading cvxpy-1.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.9 kB)\n","Requirement already satisfied: typing-extensions in /usr/local/envs/nenv/lib/python3.8/site-packages (from torch>=1.1.0->learn2learn==0.2.0->-r requirements.txt (line 4)) (4.13.2)\n","Requirement already satisfied: pillow>=5.3.0 in /usr/local/envs/nenv/lib/python3.8/site-packages (from torchvision>=0.3.0->learn2learn==0.2.0->-r requirements.txt (line 4)) (10.4.0)\n","Collecting argcomplete>=3.5.1 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading argcomplete-3.6.2-py3-none-any.whl.metadata (16 kB)\n","Collecting crcmod>=1.7 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading crcmod-1.7.tar.gz (89 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Collecting fasteners>=0.14.1 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading fasteners-0.20-py3-none-any.whl.metadata (4.8 kB)\n","Collecting gcs-oauth2-boto-plugin>=3.2 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading gcs_oauth2_boto_plugin-3.3.tar.gz (22 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Collecting google-apitools>=0.5.32 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading google_apitools-0.5.32-py3-none-any.whl.metadata (2.3 kB)\n","Collecting httplib2==0.20.4 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading httplib2-0.20.4-py3-none-any.whl.metadata (2.5 kB)\n","Collecting google-reauth>=0.1.0 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading google_reauth-0.1.1-py2.py3-none-any.whl.metadata (2.6 kB)\n","Collecting monotonic>=1.4 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading monotonic-1.6-py2.py3-none-any.whl.metadata (1.5 kB)\n","Collecting pyOpenSSL<=24.2.1,>=0.13 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading pyOpenSSL-24.2.1-py3-none-any.whl.metadata (13 kB)\n","Collecting retry_decorator>=1.0.0 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading retry_decorator-1.1.1.tar.gz (3.9 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: six>=1.16.0 in /usr/local/envs/nenv/lib/python3.8/site-packages (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4)) (1.17.0)\n","Collecting google-auth==2.17.0 (from google-auth[aiohttp]==2.17.0->gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading google_auth-2.17.0-py2.py3-none-any.whl.metadata (4.3 kB)\n","Collecting google-auth-httplib2>=0.2.0 (from gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading google_auth_httplib2-0.2.0-py2.py3-none-any.whl.metadata (2.2 kB)\n","Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/envs/nenv/lib/python3.8/site-packages (from google-auth==2.17.0->google-auth[aiohttp]==2.17.0->gsutil->learn2learn==0.2.0->-r requirements.txt (line 4)) (5.5.2)\n","Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/envs/nenv/lib/python3.8/site-packages (from google-auth==2.17.0->google-auth[aiohttp]==2.17.0->gsutil->learn2learn==0.2.0->-r requirements.txt (line 4)) (0.4.2)\n","Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/envs/nenv/lib/python3.8/site-packages (from google-auth==2.17.0->google-auth[aiohttp]==2.17.0->gsutil->learn2learn==0.2.0->-r requirements.txt (line 4)) (4.9.1)\n","Collecting aiohttp<4.0.0dev,>=3.6.2 (from google-auth[aiohttp]==2.17.0->gsutil->learn2learn==0.2.0->-r requirements.txt (line 4))\n","  Downloading aiohttp-3.10.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB)\n","Collecting pyparsing!=3.0.0,!=3.0.1,!=3.0.2,!=3.0.3,<4,>=2.4.2 (from 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/usr/local/bin/activate nenv && bash /content/ProMetaR/scripts/base2new_train.sh stanford_cars 1 0\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RXt99tGlD5NQ","executionInfo":{"status":"ok","timestamp":1755268208970,"user_tz":-345,"elapsed":564851,"user":{"displayName":"Santosh Upreti","userId":"15542637101614503540"}},"outputId":"71a8bc41-a5be-4088-d2b8-af456f7c6bc8"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Run this job and save the output to output/base2new/train_base/stanford_cars/shots_16/ProMetaR/vit_b16_c2_ep10_batch4_4+4ctx/seed1\n","Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.\n","Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.\n","Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.\n","See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.\n","Setting fixed seed: 1\n","***************\n","** Arguments **\n","***************\n","backbone: \n","config_file: configs/trainers/ProMetaR/vit_b16_c2_ep10_batch4_4+4ctx.yaml\n","dataset_config_file: configs/datasets/stanford_cars.yaml\n","eval_only: False\n","head: \n","load_epoch: None\n","model_dir: \n","no_train: False\n","opts: ['DATASET.NUM_SHOTS', '16', 'DATASET.SUBSAMPLE_CLASSES', 'base']\n","output_dir: output/base2new/train_base/stanford_cars/shots_16/ProMetaR/vit_b16_c2_ep10_batch4_4+4ctx/seed1\n","resume: \n","root: /content/ProMetaR\n","seed: 1\n","source_domains: None\n","target_domains: None\n","trainer: ProMetaR\n","transforms: None\n","************\n","** Config **\n","************\n","DATALOADER:\n","  K_TRANSFORMS: 1\n","  NUM_WORKERS: 8\n","  RETURN_IMG0: False\n","  TEST:\n","    BATCH_SIZE: 100\n","    SAMPLER: SequentialSampler\n","  TRAIN_U:\n","    BATCH_SIZE: 32\n","    N_DOMAIN: 0\n","    N_INS: 16\n","    SAME_AS_X: True\n","    SAMPLER: RandomSampler\n","  TRAIN_X:\n","    BATCH_SIZE: 4\n","    N_DOMAIN: 0\n","    N_INS: 16\n","    SAMPLER: RandomSampler\n","DATASET:\n","  ALL_AS_UNLABELED: False\n","  CIFAR_C_LEVEL: 1\n","  CIFAR_C_TYPE: \n","  NAME: StanfordCars\n","  NUM_LABELED: -1\n","  NUM_SHOTS: 16\n","  ROOT: /content/ProMetaR\n","  SOURCE_DOMAINS: ()\n","  STL10_FOLD: -1\n","  SUBSAMPLE_CLASSES: base\n","  TARGET_DOMAINS: ()\n","  VAL_PERCENT: 0.1\n","INPUT:\n","  COLORJITTER_B: 0.4\n","  COLORJITTER_C: 0.4\n","  COLORJITTER_H: 0.1\n","  COLORJITTER_S: 0.4\n","  CROP_PADDING: 4\n","  CUTOUT_LEN: 16\n","  CUTOUT_N: 1\n","  GB_K: 21\n","  GB_P: 0.5\n","  GN_MEAN: 0.0\n","  GN_STD: 0.15\n","  INTERPOLATION: bicubic\n","  NO_TRANSFORM: False\n","  PIXEL_MEAN: [0.48145466, 0.4578275, 0.40821073]\n","  PIXEL_STD: [0.26862954, 0.26130258, 0.27577711]\n","  RANDAUGMENT_M: 10\n","  RANDAUGMENT_N: 2\n","  RGS_P: 0.2\n","  RRCROP_SCALE: (0.08, 1.0)\n","  SIZE: (224, 224)\n","  TRANSFORMS: ('random_resized_crop', 'random_flip', 'normalize')\n","MODEL:\n","  BACKBONE:\n","    NAME: ViT-B/16\n","    PRETRAINED: True\n","  HEAD:\n","    ACTIVATION: relu\n","    BN: True\n","    DROPOUT: 0.0\n","    HIDDEN_LAYERS: ()\n","    NAME: \n","  INIT_WEIGHTS: \n","OPTIM:\n","  ADAM_BETA1: 0.9\n","  ADAM_BETA2: 0.999\n","  BASE_LR_MULT: 0.1\n","  GAMMA: 0.1\n","  LR: 0.0025\n","  LR_SCHEDULER: cosine\n","  MAX_EPOCH: 10\n","  MOMENTUM: 0.9\n","  NAME: sgd\n","  NEW_LAYERS: ()\n","  RMSPROP_ALPHA: 0.99\n","  SGD_DAMPNING: 0\n","  SGD_NESTEROV: False\n","  STAGED_LR: False\n","  STEPSIZE: (-1,)\n","  WARMUP_CONS_LR: 1e-05\n","  WARMUP_EPOCH: 1\n","  WARMUP_MIN_LR: 1e-05\n","  WARMUP_RECOUNT: True\n","  WARMUP_TYPE: constant\n","  WEIGHT_DECAY: 0.0005\n","OPTIM_VNET:\n","  ADAM_BETA1: 0.9\n","  ADAM_BETA2: 0.999\n","  BASE_LR_MULT: 0.1\n","  GAMMA: 0.1\n","  LR: 0.00025\n","  LR_SCHEDULER: cosine\n","  MAX_EPOCH: 10\n","  MOMENTUM: 0.9\n","  NAME: sgd\n","  NEW_LAYERS: ()\n","  RMSPROP_ALPHA: 0.99\n","  SGD_DAMPNING: 0\n","  SGD_NESTEROV: False\n","  STAGED_LR: False\n","  STEPSIZE: (-1,)\n","  WARMUP_CONS_LR: 1e-06\n","  WARMUP_EPOCH: 1\n","  WARMUP_MIN_LR: 1e-05\n","  WARMUP_RECOUNT: True\n","  WARMUP_TYPE: constant\n","  WEIGHT_DECAY: 0.0005\n","OUTPUT_DIR: output/base2new/train_base/stanford_cars/shots_16/ProMetaR/vit_b16_c2_ep10_batch4_4+4ctx/seed1\n","RESUME: \n","SEED: 1\n","TEST:\n","  COMPUTE_CMAT: False\n","  EVALUATOR: Classification\n","  FINAL_MODEL: last_step\n","  NO_TEST: False\n","  PER_CLASS_RESULT: False\n","  SPLIT: test\n","TRAIN:\n","  CHECKPOINT_FREQ: 0\n","  COUNT_ITER: train_x\n","  PRINT_FREQ: 20\n","TRAINER:\n","  CDAC:\n","    CLASS_LR_MULTI: 10\n","    P_THRESH: 0.95\n","    RAMPUP_COEF: 30\n","    RAMPUP_ITRS: 1000\n","    STRONG_TRANSFORMS: ()\n","    TOPK_MATCH: 5\n","  CROSSGRAD:\n","    ALPHA_D: 0.5\n","    ALPHA_F: 0.5\n","    EPS_D: 1.0\n","    EPS_F: 1.0\n","  DAEL:\n","    CONF_THRE: 0.95\n","    STRONG_TRANSFORMS: ()\n","    WEIGHT_U: 0.5\n","  DAELDG:\n","    CONF_THRE: 0.95\n","    STRONG_TRANSFORMS: ()\n","    WEIGHT_U: 0.5\n","  DDAIG:\n","    ALPHA: 0.5\n","    CLAMP: False\n","    CLAMP_MAX: 1.0\n","    CLAMP_MIN: -1.0\n","    G_ARCH: \n","    LMDA: 0.3\n","    WARMUP: 0\n","  DOMAINMIX:\n","    ALPHA: 1.0\n","    BETA: 1.0\n","    TYPE: crossdomain\n","  ENTMIN:\n","    LMDA: 0.001\n","  FIXMATCH:\n","    CONF_THRE: 0.95\n","    STRONG_TRANSFORMS: ()\n","    WEIGHT_U: 1.0\n","  IVLP:\n","    CTX_INIT: a photo of a\n","    N_CTX_TEXT: 2\n","    N_CTX_VISION: 2\n","    PREC: fp16\n","    PROMPT_DEPTH_TEXT: 9\n","    PROMPT_DEPTH_VISION: 9\n","  M3SDA:\n","    LMDA: 0.5\n","    N_STEP_F: 4\n","  MCD:\n","    N_STEP_F: 4\n","  MEANTEACHER:\n","    EMA_ALPHA: 0.999\n","    RAMPUP: 5\n","    WEIGHT_U: 1.0\n","  MIXMATCH:\n","    MIXUP_BETA: 0.75\n","    RAMPUP: 20000\n","    TEMP: 2.0\n","    WEIGHT_U: 100.0\n","  MME:\n","    LMDA: 0.1\n","  NAME: ProMetaR\n","  PROMETAR:\n","    ADAPT_LR: 0.0005\n","    CTX_INIT: a photo of a\n","    DIM_RATE: 8\n","    FAST_ADAPTATION: False\n","    LR_RATIO: 0.0005\n","    MIXUP_ALPHA: 0.5\n","    MIXUP_BETA: 0.5\n","    N_CTX_TEXT: 4\n","    N_CTX_VISION: 4\n","    PREC: fp16\n","    PROMPT_DEPTH_TEXT: 9\n","    PROMPT_DEPTH_VISION: 9\n","  SE:\n","    CONF_THRE: 0.95\n","    EMA_ALPHA: 0.999\n","    RAMPUP: 300\n","USE_CUDA: True\n","VERBOSE: True\n","VERSION: 1\n","Collecting env info ...\n","** System info **\n","PyTorch version: 1.9.0+cu111\n","Is debug build: False\n","CUDA used to build PyTorch: 11.1\n","ROCM used to build PyTorch: N/A\n","\n","OS: Ubuntu 22.04.4 LTS (x86_64)\n","GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\n","Clang version: 14.0.0-1ubuntu1.1\n","CMake version: version 3.31.6\n","Libc version: glibc-2.35\n","\n","Python version: 3.8 (64-bit runtime)\n","Python platform: Linux-6.1.123+-x86_64-with-glibc2.17\n","Is CUDA available: True\n","CUDA runtime version: 12.5.82\n","GPU models and configuration: GPU 0: Tesla T4\n","Nvidia driver version: 550.54.15\n","cuDNN version: Probably one of the following:\n","/usr/lib/x86_64-linux-gnu/libcudnn.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.2.1\n","/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.2.1\n","HIP runtime version: N/A\n","MIOpen runtime version: N/A\n","\n","Versions of relevant libraries:\n","[pip3] numpy==1.24.4\n","[pip3] torch==1.9.0+cu111\n","[pip3] torchaudio==0.9.0\n","[pip3] torchvision==0.10.0+cu111\n","[conda] numpy                      1.24.4           pypi_0           pypi\n","[conda] torch                      1.9.0+cu111      pypi_0           pypi\n","[conda] torchaudio                 0.9.0            pypi_0           pypi\n","[conda] torchvision                0.10.0+cu111     pypi_0           pypi\n","        Pillow (10.4.0)\n","\n","Loading trainer: ProMetaR\n","Loading dataset: StanfordCars\n","Reading split from /content/ProMetaR/data/split_zhou_StanfordCars.json\n","Creating a 16-shot dataset\n","Creating a 4-shot dataset\n","Saving preprocessed few-shot data to /content/ProMetaR/data/split_fewshot/shot_16-seed_1.pkl\n","SUBSAMPLE BASE CLASSES!\n","Building transform_train\n","+ random resized crop (size=(224, 224), scale=(0.08, 1.0))\n","+ random flip\n","+ to torch tensor of range [0, 1]\n","+ normalization (mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711])\n","Building transform_test\n","+ resize the smaller edge to 224\n","+ 224x224 center crop\n","+ to torch tensor of range [0, 1]\n","+ normalization (mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711])\n","/usr/local/envs/nenv/lib/python3.8/site-packages/torch/utils/data/dataloader.py:478: UserWarning: This DataLoader will create 8 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(_create_warning_msg(\n","---------  ------------\n","Dataset    StanfordCars\n","# classes  98\n","# train_x  1,568\n","# val      392\n","# test     4,002\n","---------  ------------\n","Loading CLIP (backbone: ViT-B/16)\n","100%|███████████████████████████████████████| 351M/351M [01:16<00:00, 4.56MiB/s]\n","Weights not found for some missing keys:  ['visual.VPT', 'visual.transformer.resblocks.1.VPT_shallow', 'visual.transformer.resblocks.2.VPT_shallow', 'visual.transformer.resblocks.3.VPT_shallow', 'visual.transformer.resblocks.4.VPT_shallow', 'visual.transformer.resblocks.5.VPT_shallow', 'visual.transformer.resblocks.6.VPT_shallow', 'visual.transformer.resblocks.7.VPT_shallow', 'visual.transformer.resblocks.8.VPT_shallow', 'transformer.resblocks.1.VPT_shallow', 'transformer.resblocks.2.VPT_shallow', 'transformer.resblocks.3.VPT_shallow', 'transformer.resblocks.4.VPT_shallow', 'transformer.resblocks.5.VPT_shallow', 'transformer.resblocks.6.VPT_shallow', 'transformer.resblocks.7.VPT_shallow', 'transformer.resblocks.8.VPT_shallow']\n","Building custom CLIP\n","Independent V-L design\n","Initial text context: \"a photo of a\"\n","Number of context words (tokens) for Language prompting: 4\n","Number of context words (tokens) for Vision prompting: 4\n","Turning off gradients in both the image and the text encoder\n","Parameters to be updated: {'text_encoder.transformer.resblocks.6.VPT_shallow', 'image_encoder.transformer.resblocks.3.VPT_shallow', 'image_encoder.transformer.resblocks.5.VPT_shallow', 'image_encoder.transformer.resblocks.8.VPT_shallow', 'image_encoder.VPT', 'image_encoder.transformer.resblocks.4.VPT_shallow', 'text_encoder.transformer.resblocks.8.VPT_shallow', 'image_encoder.transformer.resblocks.6.VPT_shallow', 'text_encoder.transformer.resblocks.3.VPT_shallow', 'image_encoder.transformer.resblocks.2.VPT_shallow', 'image_encoder.transformer.resblocks.1.VPT_shallow', 'prompt_learner.ctx', 'text_encoder.transformer.resblocks.2.VPT_shallow', 'text_encoder.transformer.resblocks.7.VPT_shallow', 'text_encoder.transformer.resblocks.1.VPT_shallow', 'text_encoder.transformer.resblocks.5.VPT_shallow', 'image_encoder.transformer.resblocks.7.VPT_shallow', 'text_encoder.transformer.resblocks.4.VPT_shallow'}\n","Parameters count: 18\n","Loading evaluator: Classification\n","No checkpoint found, train from scratch\n","Initialize tensorboard (log_dir=output/base2new/train_base/stanford_cars/shots_16/ProMetaR/vit_b16_c2_ep10_batch4_4+4ctx/seed1/tensorboard)\n","/usr/local/envs/nenv/lib/python3.8/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.\n","  warnings.warn(warning.format(ret))\n","epoch [1/10] batch [20/392] time 1.943 (1.992) data 0.000 (0.044) loss 0.0014 (0.0012) lr 1.0000e-05 eta 2:09:30\n","epoch [1/10] batch [40/392] time 1.976 (1.976) data 0.000 (0.022) loss 0.0008 (0.0014) lr 1.0000e-05 eta 2:07:46\n","epoch [1/10] batch [60/392] time 1.992 (1.987) data 0.001 (0.015) loss 0.0009 (0.0013) lr 1.0000e-05 eta 2:07:50\n","epoch [1/10] batch [80/392] time 2.011 (1.989) data 0.000 (0.012) loss 0.0004 (0.0013) lr 1.0000e-05 eta 2:07:17\n","epoch [1/10] batch [100/392] time 1.974 (1.989) data 0.000 (0.009) loss 0.0009 (0.0013) lr 1.0000e-05 eta 2:06:36\n","epoch [1/10] batch [120/392] time 1.978 (1.989) data 0.001 (0.008) loss 0.0022 (0.0013) lr 1.0000e-05 eta 2:06:00\n","epoch [1/10] batch [140/392] time 1.983 (1.990) data 0.001 (0.007) loss 0.0009 (0.0013) lr 1.0000e-05 eta 2:05:21\n","epoch [1/10] batch [160/392] time 1.982 (1.990) data 0.000 (0.006) loss 0.0018 (0.0013) lr 1.0000e-05 eta 2:04:42\n","epoch [1/10] batch [180/392] time 1.982 (1.990) data 0.000 (0.006) loss 0.0011 (0.0013) lr 1.0000e-05 eta 2:04:01\n","epoch [1/10] batch [200/392] time 1.998 (1.990) data 0.000 (0.005) loss 0.0004 (0.0012) lr 1.0000e-05 eta 2:03:21\n","epoch [1/10] batch [220/392] time 2.034 (1.989) data 0.001 (0.005) loss 0.0014 (0.0013) lr 1.0000e-05 eta 2:02:41\n","Traceback (most recent call last):\n","  File \"train.py\", line 259, in <module>\n","    main(args)\n","  File \"train.py\", line 202, in main\n","    trainer.train()\n","  File \"/content/Dassl.pytorch/dassl/engine/trainer.py\", line 386, in train\n","    super().train(self.start_epoch, self.max_epoch)\n","  File \"/content/Dassl.pytorch/dassl/engine/trainer.py\", line 250, in train\n","    self.run_epoch()\n","  File \"/content/Dassl.pytorch/dassl/engine/trainer.py\", line 596, in run_epoch\n","    loss_summary = self.forward_backward(batch)\n","  File \"/content/ProMetaR/trainers/prometar.py\", line 450, in forward_backward\n","    task_model.adapt(adaptation_loss_ce, adaptation_rag_text, adaptation_rag_image, allow_nograd=True, grad_func=self.vnet, allow_unused=True)\n","  File \"/content/ProMetaR/meta_learning/maml.py\", line 150, in adapt\n","    grad_params2 = grad(loss2,\n","  File \"/usr/local/envs/nenv/lib/python3.8/site-packages/torch/autograd/__init__.py\", line 226, in grad\n","    return Variable._execution_engine.run_backward(\n","KeyboardInterrupt\n","^C\n"]}]}]}