HME100K_ICAL/notebook.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyPc8c/oC/h9ymUQLJ5vo+Cd"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8iBaas-bE2O0","executionInfo":{"status":"ok","timestamp":1755100046531,"user_tz":-345,"elapsed":27437,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"40c2e741-dda5-4825-aa06-20de425eb6c0"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hGo7bdLRi3Hv","executionInfo":{"status":"ok","timestamp":1755100051637,"user_tz":-345,"elapsed":5101,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"b266f701-d97f-40e8-d194-ce825add13c8","collapsed":true},"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'ICAL'...\n","remote: Enumerating objects: 97, done.\u001b[K\n","remote: Counting objects: 100% (11/11), done.\u001b[K\n","remote: Compressing objects: 100% (8/8), done.\u001b[K\n","remote: Total 97 (delta 3), reused 11 (delta 3), pack-reused 86 (from 1)\u001b[K\n","Receiving objects: 100% (97/97), 107.00 MiB | 37.46 MiB/s, done.\n","Resolving deltas: 100% (35/35), done.\n","/content/ICAL\n"]}],"source":["!git clone https://github.com/qingzhenduyu/ICAL.git\n","%cd ICAL"]},{"cell_type":"code","source":["%mkdir data"],"metadata":{"id":"Pb74PWTsFYQ5","executionInfo":{"status":"ok","timestamp":1755100051734,"user_tz":-345,"elapsed":89,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["!unzip  /content/drive/MyDrive/HME100k.zip -d /content/ICAL/data/"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"nF7nWbvVFLL-","executionInfo":{"status":"ok","timestamp":1755100151921,"user_tz":-345,"elapsed":100185,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"3ff1d483-ea7a-4433-f252-031031f19a41"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Archive:  /content/drive/MyDrive/HME100k.zip\n","   creating: /content/ICAL/data/HME100k/\n","  inflating: /content/ICAL/data/HME100k/dictionary.txt  \n","   creating: /content/ICAL/data/HME100k/subset/\n","  inflating: /content/ICAL/data/HME100k/subset/easy.json  \n","  inflating: /content/ICAL/data/HME100k/subset/hard.json  \n","  inflating: /content/ICAL/data/HME100k/subset/medium.json  \n","   creating: /content/ICAL/data/HME100k/test/\n","  inflating: /content/ICAL/data/HME100k/test/caption.txt  \n","  inflating: /content/ICAL/data/HME100k/test/images.pkl  \n","   creating: /content/ICAL/data/HME100k/train/\n","  inflating: /content/ICAL/data/HME100k/train/caption.txt  \n","  inflating: /content/ICAL/data/HME100k/train/images.pkl  \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":"ULYWDWDSn84u","executionInfo":{"status":"ok","timestamp":1755100179050,"user_tz":-345,"elapsed":27132,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"9956c5da-fc04-4e78-de04-c54e5ff24725","collapsed":true},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["--2025-08-13 15:49:16--  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   173MB/s    in 0.9s    \n","\n","2025-08-13 15:49:17 (173 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 newenv python=3.7 -y"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vXxpjjwioB35","executionInfo":{"status":"ok","timestamp":1755100187827,"user_tz":-345,"elapsed":8775,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"c841db67-23dd-4820-a4aa-df2a3e07e684","collapsed":true},"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\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/newenv\n","\n","  added / updated specs:\n","    - python=3.7\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","    certifi-2022.12.7          |   py37h06a4308_0         150 KB\n","    ncurses-6.5                |       h7934f7d_0         1.1 MB\n","    openssl-1.1.1w             |       h7f8727e_0         3.7 MB\n","    pip-22.3.1                 |   py37h06a4308_0         2.7 MB\n","    python-3.7.16              |       h7a1cb2a_0        44.8 MB\n","    readline-8.3               |       hc2a1206_0         471 KB\n","    setuptools-65.6.3          |   py37h06a4308_0         1.1 MB\n","    wheel-0.38.4               |   py37h06a4308_0          63 KB\n","    ------------------------------------------------------------\n","                                           Total:        54.3 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","  certifi            pkgs/main/linux-64::certifi-2022.12.7-py37h06a4308_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-1.1.1w-h7f8727e_0 \n","  pip                pkgs/main/linux-64::pip-22.3.1-py37h06a4308_0 \n","  pthread-stubs      pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 \n","  python             pkgs/main/linux-64::python-3.7.16-h7a1cb2a_0 \n","  readline           pkgs/main/linux-64::readline-8.3-hc2a1206_0 \n","  setuptools         pkgs/main/linux-64::setuptools-65.6.3-py37h06a4308_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","  wheel              pkgs/main/linux-64::wheel-0.38.4-py37h06a4308_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-3.7.16        | 44.8 MB   | :   0% 0/1 [00:00<?, ?it/s]\n","openssl-1.1.1w       | 3.7 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n","\n","pip-22.3.1           | 2.7 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n","\n","\n","setuptools-65.6.3    | 1.1 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\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\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\n","\n","\n","\n","\n","\n","certifi-2022.12.7    | 150 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-0.38.4         | 63 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","\n","\n","python-3.7.16        | 44.8 MB   | :   0% 0.0013937533284165474/1 [00:00<01:12, 72.87s/it]\n","openssl-1.1.1w       | 3.7 MB    | :   2% 0.016748775774793164/1 [00:00<00:05,  6.08s/it]\u001b[A\n","\n","\n","setuptools-65.6.3    | 1.1 MB    | :  58% 0.576551939091245/1 [00:00<00:00,  5.76it/s]\u001b[A\u001b[A\u001b[A\n","\n","pip-22.3.1           | 2.7 MB    | :   1% 0.00579954747671544/1 [00:00<00:19, 19.29s/it]\u001b[A\u001b[A\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | :   3% 0.03400397653924861/1 [00:00<00:03,  3.32s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:00<00:00,  3.32s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","python-3.7.16        | 44.8 MB   | :   8% 0.07770174805922252/1 [00:00<00:02,  2.22s/it]  \n","openssl-1.1.1w       | 3.7 MB    | :  84% 0.8416259826833565/1 [00:00<00:00,  4.87it/s]  \u001b[A\n","\n","\n","\n","\n","\n","certifi-2022.12.7    | 150 KB    | :  11% 0.10679390158848107/1 [00:00<00:01,  1.84s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","certifi-2022.12.7    | 150 KB    | : 100% 1.0/1 [00:00<00:00,  1.84s/it]                \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<00:01,  1.67s/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,  1.67s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.38.4         | 63 KB     | :  25% 0.25267963171450164/1 [00:00<00:00,  1.09it/s]\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-0.38.4         | 63 KB     | : 100% 1.0/1 [00:00<00:00,  1.09it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","pip-22.3.1           | 2.7 MB    | : 100% 1.0/1 [00:00<00:00,  4.29it/s]                \u001b[A\u001b[A\n","\n","pip-22.3.1           | 2.7 MB    | : 100% 1.0/1 [00:00<00:00,  4.29it/s]\u001b[A\u001b[A\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:00<00:00,  4.27it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","readline-8.3         | 471 KB    | : 100% 1.0/1 [00:00<00:00,  4.27it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","python-3.7.16        | 44.8 MB   | :  82% 0.8233597787620754/1 [00:00<00:00,  1.20it/s]\n","\n","\n","setuptools-65.6.3    | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  5.76it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","certifi-2022.12.7    | 150 KB    | : 100% 1.0/1 [00:00<00:00,  1.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","python-3.7.16        | 44.8 MB   | :  95% 0.9505397699800854/1 [00:00<00:00,  1.21it/s]\n","\n","\n","\n","\n","\n","\n","ca-certificates-2025 | 126 KB    | : 100% 1.0/1 [00:00<00:00,  1.14it/s]\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,  1.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","wheel-0.38.4         | 63 KB     | : 100% 1.0/1 [00:00<00:00,  1.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","python-3.7.16        | 44.8 MB   | : 100% 1.0/1 [00:01<00:00,  1.21it/s]               \n","\n","pip-22.3.1           | 2.7 MB    | : 100% 1.0/1 [00:01<00:00,  4.29it/s]\u001b[A\u001b[A\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:02<00:00,  2.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:02<00:00,  2.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n","                                                                        \n","                                                                        \u001b[A\n","\n","                                                                        \u001b[A\u001b[A\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\n","\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","Preparing transaction: - \b\b\\ \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\b| \b\bdone\n","Executing transaction: - \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 newenv\n","#\n","# To deactivate an active environment, use\n","#\n","#     $ conda deactivate\n","\n"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && conda install pytorch=1.8.1 torchvision=0.9.1 cudatoolkit=11.1 pillow=8.4.0 -c pytorch -c nvidia -y # torchvison 0.2.2 is nota vailable so 0.9.1"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"ZtDSIC4poIqp","executionInfo":{"status":"ok","timestamp":1755100493449,"user_tz":-345,"elapsed":305618,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"3b87e8f9-255b-4410-a2cf-ccb420909929"},"execution_count":7,"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"," - pytorch\n"," - nvidia\n"," - defaults\n","Platform: linux-64\n","Collecting package metadata (repodata.json): - \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/newenv\n","\n","  added / updated specs:\n","    - cudatoolkit=11.1\n","    - pillow=8.4.0\n","    - pytorch=1.8.1\n","    - torchvision=0.9.1\n","\n","\n","The following packages will be downloaded:\n","\n","    package                    |            build\n","    ---------------------------|-----------------\n","    blas-1.0                   |              mkl           6 KB\n","    cudatoolkit-11.1.74        |       h6bb024c_0        1.19 GB  nvidia\n","    ffmpeg-4.3                 |       hf484d3e_0         9.9 MB  pytorch\n","    flit-core-3.6.0            |     pyhd3eb1b0_0          42 KB\n","    freetype-2.13.3            |       h4a9f257_0         686 KB\n","    giflib-5.2.2               |       h5eee18b_0          80 KB\n","    gmp-6.3.0                  |       h6a678d5_0         608 KB\n","    gnutls-3.6.15              |       he1e5248_0         1.0 MB\n","    intel-openmp-2021.4.0      |    h06a4308_3561         4.2 MB\n","    jpeg-9b                    |       h024ee3a_2         214 KB\n","    lame-3.100                 |       h7b6447c_0         323 KB\n","    lcms2-2.12                 |       h3be6417_0         312 KB\n","    libiconv-1.16              |       h5eee18b_3         759 KB\n","    libidn2-2.3.4              |       h5eee18b_0         146 KB\n","    libpng-1.6.39              |       h5eee18b_0         304 KB\n","    libtasn1-4.19.0            |       h5eee18b_0          63 KB\n","    libtiff-4.2.0              |       h85742a9_0         502 KB\n","    libunistring-0.9.10        |       h27cfd23_0         536 KB\n","    libuv-1.48.0               |       h5eee18b_0         950 KB\n","    libwebp-1.2.0              |       h89dd481_0         493 KB\n","    libwebp-base-1.2.0         |       h27cfd23_0         437 KB\n","    mkl-2021.4.0               |     h06a4308_640       142.6 MB\n","    mkl-service-2.4.0          |   py37h7f8727e_0          56 KB\n","    mkl_fft-1.3.1              |   py37hd3c417c_0         172 KB\n","    mkl_random-1.2.2           |   py37h51133e4_0         287 KB\n","    nettle-3.7.3               |       hbbd107a_1         809 KB\n","    ninja-1.12.1               |       h06a4308_0           8 KB\n","    ninja-base-1.12.1          |       hdb19cb5_0         157 KB\n","    numpy-1.21.5               |   py37h6c91a56_3          10 KB\n","    numpy-base-1.21.5          |   py37ha15fc14_3         4.8 MB\n","    olefile-0.46               |     pyhd3eb1b0_0          34 KB\n","    openh264-2.1.1             |       h4ff587b_0         711 KB\n","    pillow-8.4.0               |   py37h5aabda8_0         644 KB\n","    pytorch-1.8.1              |py3.7_cuda11.1_cudnn8.0.5_0        1.27 GB  pytorch\n","    six-1.16.0                 |     pyhd3eb1b0_1          18 KB\n","    torchvision-0.9.1          |       py37_cu111        25.9 MB  pytorch\n","    typing_extensions-4.4.0    |   py37h06a4308_0          45 KB\n","    zstd-1.4.9                 |       haebb681_0         480 KB\n","    ------------------------------------------------------------\n","                                           Total:        2.65 GB\n","\n","The following NEW packages will be INSTALLED:\n","\n","  blas               pkgs/main/linux-64::blas-1.0-mkl \n","  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 \n","  cudatoolkit        nvidia/linux-64::cudatoolkit-11.1.74-h6bb024c_0 \n","  ffmpeg             pytorch/linux-64::ffmpeg-4.3-hf484d3e_0 \n","  flit-core          pkgs/main/noarch::flit-core-3.6.0-pyhd3eb1b0_0 \n","  freetype           pkgs/main/linux-64::freetype-2.13.3-h4a9f257_0 \n","  giflib             pkgs/main/linux-64::giflib-5.2.2-h5eee18b_0 \n","  gmp                pkgs/main/linux-64::gmp-6.3.0-h6a678d5_0 \n","  gnutls             pkgs/main/linux-64::gnutls-3.6.15-he1e5248_0 \n","  intel-openmp       pkgs/main/linux-64::intel-openmp-2021.4.0-h06a4308_3561 \n","  jpeg               pkgs/main/linux-64::jpeg-9b-h024ee3a_2 \n","  lame               pkgs/main/linux-64::lame-3.100-h7b6447c_0 \n","  lcms2              pkgs/main/linux-64::lcms2-2.12-h3be6417_0 \n","  libiconv           pkgs/main/linux-64::libiconv-1.16-h5eee18b_3 \n","  libidn2            pkgs/main/linux-64::libidn2-2.3.4-h5eee18b_0 \n","  libpng             pkgs/main/linux-64::libpng-1.6.39-h5eee18b_0 \n","  libtasn1           pkgs/main/linux-64::libtasn1-4.19.0-h5eee18b_0 \n","  libtiff            pkgs/main/linux-64::libtiff-4.2.0-h85742a9_0 \n","  libunistring       pkgs/main/linux-64::libunistring-0.9.10-h27cfd23_0 \n","  libuv              pkgs/main/linux-64::libuv-1.48.0-h5eee18b_0 \n","  libwebp            pkgs/main/linux-64::libwebp-1.2.0-h89dd481_0 \n","  libwebp-base       pkgs/main/linux-64::libwebp-base-1.2.0-h27cfd23_0 \n","  lz4-c              pkgs/main/linux-64::lz4-c-1.9.4-h6a678d5_1 \n","  mkl                pkgs/main/linux-64::mkl-2021.4.0-h06a4308_640 \n","  mkl-service        pkgs/main/linux-64::mkl-service-2.4.0-py37h7f8727e_0 \n","  mkl_fft            pkgs/main/linux-64::mkl_fft-1.3.1-py37hd3c417c_0 \n","  mkl_random         pkgs/main/linux-64::mkl_random-1.2.2-py37h51133e4_0 \n","  nettle             pkgs/main/linux-64::nettle-3.7.3-hbbd107a_1 \n","  ninja              pkgs/main/linux-64::ninja-1.12.1-h06a4308_0 \n","  ninja-base         pkgs/main/linux-64::ninja-base-1.12.1-hdb19cb5_0 \n","  numpy              pkgs/main/linux-64::numpy-1.21.5-py37h6c91a56_3 \n","  numpy-base         pkgs/main/linux-64::numpy-base-1.21.5-py37ha15fc14_3 \n","  olefile            pkgs/main/noarch::olefile-0.46-pyhd3eb1b0_0 \n","  openh264           pkgs/main/linux-64::openh264-2.1.1-h4ff587b_0 \n","  pillow             pkgs/main/linux-64::pillow-8.4.0-py37h5aabda8_0 \n","  pytorch            pytorch/linux-64::pytorch-1.8.1-py3.7_cuda11.1_cudnn8.0.5_0 \n","  six                pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1 \n","  torchvision        pytorch/linux-64::torchvision-0.9.1-py37_cu111 \n","  typing_extensions  pkgs/main/linux-64::typing_extensions-4.4.0-py37h06a4308_0 \n","  zstd               pkgs/main/linux-64::zstd-1.4.9-haebb681_0 \n","\n","\n","\n","Downloading and Extracting Packages:\n","pytorch-1.8.1        | 1.27 GB   | :   0% 0/1 [00:00<?, ?it/s]\n","cudatoolkit-11.1.74  | 1.19 GB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n","\n","mkl-2021.4.0         | 142.6 MB  | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n","\n","\n","torchvision-0.9.1    | 25.9 MB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","ffmpeg-4.3           | 9.9 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","numpy-base-1.21.5    | 4.8 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","intel-openmp-2021.4. | 4.2 MB    | :   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","gnutls-3.6.15        | 1.0 MB    | :   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","libuv-1.48.0         | 950 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","\n","\n","\n","\n","\n","\n","\n","nettle-3.7.3         | 809 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","libiconv-1.16        | 759 KB   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2.47s/it]  \u001b[A\u001b[A\u001b[A\n","\n","mkl-2021.4.0         | 142.6 MB  | :   3% 0.025746099012027287/1 [00:00<00:08,  9.21s/it]    \u001b[A\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :   1% 0.0066636751646501095/1 [00:00<00:39, 40.07s/it]\n","\n","\n","\n","ffmpeg-4.3           | 9.9 MB    | :  83% 0.8328015346492018/1 [00:00<00:00,  2.87it/s] \u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","torchvision-0.9.1    | 25.9 MB   | :  25% 0.25065192222777394/1 [00:00<00:00,  1.15s/it]\u001b[A\u001b[A\u001b[A\n","\n","mkl-2021.4.0         | 142.6 MB  | :   7% 0.06628251022245323/1 [00:00<00:04,  4.57s/it] \u001b[A\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :   1% 0.009252441055953029/1 [00:00<00:39, 39.55s/it] \n","\n","\n","torchvision-0.9.1    | 25.9 MB   | :  39% 0.39319132860308637/1 [00:00<00:00,  1.07it/s]\u001b[A\u001b[A\u001b[A\n","\n","mkl-2021.4.0         | 142.6 MB  | :  10% 0.09509622954229653/1 [00:00<00:03,  4.13s/it]\u001b[A\u001b[A\n","pytorch-1.8.1        | 1.27 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0.33011559125022055/1 [00:09<00:18, 28.02s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  33% 0.334262410687215/1 [00:10<00:18, 27.76s/it]  \n","pytorch-1.8.1        | 1.27 GB   | :  34% 0.3386609156969751/1 [00:10<00:17, 26.15s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  38% 0.3799536055709154/1 [00:10<00:14, 23.60s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  34% 0.3432871362249516/1 [00:10<00:16, 25.24s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  35% 0.3472781503073769/1 [00:10<00:18, 28.99s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  35% 0.35086167346246755/1 [00:10<00:24, 38.09s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  35% 0.3543133613175381/1 [00:10<00:23, 36.06s/it] \n","pytorch-1.8.1        | 1.27 GB   | :  36% 0.3576931390089614/1 [00:10<00:22, 34.71s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  36% 0.3608092461003445/1 [00:10<00:23, 36.96s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  36% 0.3643568141736115/1 [00:11<00:21, 34.57s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  37% 0.3680601876014476/1 [00:11<00:20, 32.40s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  37% 0.37184745622020554/1 [00:11<00:19, 31.28s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  38% 0.3752871590480016/1 [00:11<00:19, 30.65s/it] \n","pytorch-1.8.1        | 1.27 GB   | :  38% 0.37900251750311226/1 [00:11<00:18, 29.63s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  39% 0.3869006504770411/1 [00:12<01:01, 100.13s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  44% 0.4370855220983141/1 [00:12<00:54, 97.51s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  39% 0.39455908290547886/1 [00:14<01:21, 134.64s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  40% 0.39822650125149134/1 [00:14<01:02, 103.84s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  40% 0.4042549699705903/1 [00:14<00:40, 68.73s/it]  \n","pytorch-1.8.1        | 1.27 GB   | :  41% 0.41141003125349696/1 [00:14<00:27, 46.52s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  42% 0.41807370641814706/1 [00:14<00:20, 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\n","pytorch-1.8.1        | 1.27 GB   | :  51% 0.5067988633316448/1 [00:17<00:11, 22.85s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  51% 0.5112572934777776/1 [00:18<00:44, 90.58s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  51% 0.5144932508419063/1 [00:20<01:44, 214.50s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  53% 0.525567416043591/1 [00:20<00:47, 99.66s/it]  \n","pytorch-1.8.1        | 1.27 GB   | :  53% 0.5307089927443732/1 [00:20<00:35, 74.92s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  54% 0.535059557645035/1 [00:20<00:31, 66.85s/it] \n","pytorch-1.8.1        | 1.27 GB   | :  54% 0.5387629310728712/1 [00:21<00:31, 68.39s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  54% 0.5442520735646154/1 [00:21<00:23, 51.13s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  55% 0.5503644374746361/1 [00:21<00:17, 38.82s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  55% 0.5548228676207689/1 [00:21<00:15, 35.92s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  56% 0.5606236208216514/1 [00:21<00:13, 29.76s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  57% 0.5699479720412517/1 [00:21<00:11, 26.08s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  64% 0.6420557560498639/1 [00:21<00:11, 32.47s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  57% 0.5745382374874046/1 [00:21<00:10, 25.58s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  58% 0.5789846826062628/1 [00:21<00:10, 25.93s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  58% 0.5833472325341993/1 [00:21<00:10, 25.24s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  59% 0.5879374979803521/1 [00:22<00:09, 24.21s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  59% 0.592288062881014/1 [00:22<00:10, 24.74s/it] \n","\n","\n","torchvision-0.9.1    | 25.9 MB   | : 100% 1.0/1 [00:22<00:00,  1.44it/s]\u001b[A\u001b[A\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  60% 0.5979689658091509/1 [00:22<00:08, 22.30s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  60% 0.602846871909893/1 [00:22<00:08, 22.05s/it] \n","pytorch-1.8.1        | 1.27 GB   | :  61% 0.607485077465144/1 [00:22<00:09, 24.16s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  61% 0.611751747174884/1 [00:22<00:09, 24.49s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  62% 0.6241562504040439/1 [00:22<00:07, 19.52s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  63% 0.6293937073230225/1 [00:22<00:07, 19.75s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  63% 0.6345472690510792/1 [00:23<00:20, 56.42s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  64% 0.6393292949336249/1 [00:23<00:16, 46.55s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  64% 0.6434281742615212/1 [00:23<00:14, 41.40s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  65% 0.6474431583984956/1 [00:24<00:13, 38.99s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  65% 0.6511824869081554/1 [00:24<00:12, 36.59s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  66% 0.6551974710451298/1 [00:24<00:11, 33.75s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  66% 0.6593083354003006/1 [00:24<00:10, 30.98s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  66% 0.6631195740736078/1 [00:24<00:10, 30.16s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  67% 0.6677218245470351/1 [00:24<00:09, 27.48s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  67% 0.6734386825569958/1 [00:24<00:07, 23.98s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  68% 0.6779090977304031/1 [00:24<00:07, 24.34s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  68% 0.6822237075492413/1 [00:24<00:08, 25.88s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  69% 0.6871016136499835/1 [00:25<00:07, 24.18s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  69% 0.6923151005144129/1 [00:25<00:06, 22.71s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  70% 0.6976244675970388/1 [00:25<00:06, 22.08s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  70% 0.7022387030977407/1 [00:25<00:07, 24.89s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  71% 0.7064094925892843/1 [00:25<00:07, 24.97s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  79% 0.79411177966825/1 [00:25<00:04, 20.26s/it]  \u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  71% 0.7114551890718701/1 [00:25<00:06, 23.96s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  72% 0.7226372195190258/1 [00:25<00:05, 21.11s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  81% 0.8097867304328008/1 [00:25<00:03, 20.37s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  73% 0.7274432154561206/1 [00:25<00:05, 21.77s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  74% 0.7368155067848191/1 [00:26<00:05, 22.30s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  83% 0.8251659274093411/1 [00:26<00:03, 20.91s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  74% 0.7415256225037175/1 [00:26<00:05, 22.11s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  75% 0.7480934174501712/1 [00:26<00:04, 19.74s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  75% 0.7539780658419755/1 [00:26<00:04, 19.03s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  76% 0.7604379955429582/1 [00:26<00:04, 17.85s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  86% 0.8563100871728702/1 [00:26<00:02, 15.66s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  77% 0.766070958361997/1 [00:26<00:05, 25.31s/it] \n","pytorch-1.8.1        | 1.27 GB   | :  78% 0.7752754593088519/1 [00:26<00:05, 24.08s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  78% 0.7811601077006561/1 [00:27<00:04, 21.77s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  79% 0.7877039325925608/1 [00:27<00:04, 19.61s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  79% 0.7935286558479924/1 [00:27<00:03, 18.87s/it]\n","cudatoolkit-11.1.74  | 1.19 GB   | :  90% 0.895401022631635/1 [00:27<00:01, 17.98s/it] \u001b[A\n","\n","pytorch-1.8.1        | 1.27 GB   | :  80% 0.7991496336397566/1 [00:27<00:03, 18.74s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  81% 0.8056575034498376/1 [00:27<00:03, 17.74s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  81% 0.8114223015688963/1 [00:27<00:03, 19.10s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  82% 0.8182537671153901/1 [00:27<00:03, 17.71s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  82% 0.8248095770345693/1 [00:27<00:02, 16.94s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  83% 0.834445538963308/1 [00:27<00:02, 14.41s/it] \n","cudatoolkit-11.1.74  | 1.19 GB   | :  94% 0.9418343673492665/1 [00:27<00:00, 14.57s/it]\u001b[A\n","pytorch-1.8.1        | 1.27 GB   | :  84% 0.8414927350007436/1 [00:28<00:02, 17.80s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  85% 0.8494627781383198/1 [00:28<00:02, 16.11s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  86% 0.8568335699121684/1 [00:28<00:02, 15.36s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  86% 0.8637009905404859/1 [00:28<00:02, 16.35s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  88% 0.8811272201976824/1 [00:28<00:01, 14.50s/it]\n","pytorch-1.8.1        | 1.27 GB   | :  99% 0.9942658776694396/1 [00:30<00:00, 15.74s/it]\n","pytorch-1.8.1        | 1.27 GB   | : 100% 1.0/1 [00:38<00:00, 15.74s/it]               \n","pytorch-1.8.1        | 1.27 GB   | : 100% 1.0/1 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transaction: | \b\b/ \b\b- \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\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\\ By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html\n","\n","\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"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && conda install pytorch-lightning=1.4.9 torchmetrics=0.6.0 -c conda-forge"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"N8ohQIReoM_w","executionInfo":{"status":"ok","timestamp":1755100543669,"user_tz":-345,"elapsed":50214,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"984a8b1d-1ad3-4f0e-9760-e08fa591773b","collapsed":true},"execution_count":8,"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"," - conda-forge\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\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","Solving environment: / \b\b- \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/newenv\n","\n","  added / updated specs:\n","    - pytorch-lightning=1.4.9\n","    - torchmetrics=0.6.0\n","\n","\n","The following packages will be downloaded:\n","\n","    package                    |            build\n","    ---------------------------|-----------------\n","    absl-py-2.1.0              |     pyhd8ed1ab_0         105 KB  conda-forge\n","    aiohttp-3.7.4.post0        |   py37h5e8e339_1         626 KB  conda-forge\n","    async-timeout-3.0.1        |          py_1000          11 KB  conda-forge\n","    attrs-24.2.0               |     pyh71513ae_0          55 KB  conda-forge\n","    blinker-1.6.3              |     pyhd8ed1ab_0          18 KB  conda-forge\n","    brotli-python-1.0.9        |   py37hd23a5d3_7         352 KB  conda-forge\n","    c-ares-1.18.1              |       h7f98852_0         113 KB  conda-forge\n","    ca-certificates-2025.8.3   |       hbd8a1cb_0         151 KB  conda-forge\n","    cachetools-5.5.0           |     pyhd8ed1ab_0          14 KB  conda-forge\n","    certifi-2024.8.30          |     pyhd8ed1ab_0         160 KB  conda-forge\n","    cffi-1.15.0                |   py37h036bc23_0         225 KB  conda-forge\n","    chardet-4.0.0              |   py37h89c1867_3         198 KB  conda-forge\n","    charset-normalizer-3.4.0   |     pyhd8ed1ab_0          46 KB  conda-forge\n","    click-8.1.3                |   py37h89c1867_0         145 KB  conda-forge\n","    colorama-0.4.6             |     pyhd8ed1ab_0          25 KB  conda-forge\n","    cryptography-39.0.1        |   py37h9ce1e76_0         1.4 MB\n","    fsspec-2023.1.0            |     pyhd8ed1ab_0         106 KB  conda-forge\n","    future-0.18.2              |   py37h89c1867_5         713 KB  conda-forge\n","    google-auth-2.35.0         |     pyhff2d567_0         113 KB  conda-forge\n","    google-auth-oauthlib-0.4.6 |     pyhd8ed1ab_0          19 KB  conda-forge\n","    grpcio-1.38.1              |   py37hb27c1af_0         2.2 MB  conda-forge\n","    idna-3.10                  |     pyhd8ed1ab_0          49 KB  conda-forge\n","    importlib-metadata-4.11.4  |   py37h89c1867_0          33 KB  conda-forge\n","    libprotobuf-3.20.1         |       h4ff587b_0         2.1 MB\n","    markdown-3.6               |     pyhd8ed1ab_0          76 KB  conda-forge\n","    markupsafe-2.1.1           |   py37h540881e_1          22 KB  conda-forge\n","    multidict-6.0.2            |   py37h540881e_1          49 KB  conda-forge\n","    oauthlib-3.2.2             |     pyhd8ed1ab_0          90 KB  conda-forge\n","    packaging-23.2             |     pyhd8ed1ab_0          48 KB  conda-forge\n","    protobuf-3.20.1            |   py37hd23a5d3_0         329 KB  conda-forge\n","    pyasn1-0.5.1               |     pyhd8ed1ab_0          62 KB  conda-forge\n","    pyasn1-modules-0.3.0       |     pyhd8ed1ab_0          93 KB  conda-forge\n","    pycparser-2.21             |     pyhd8ed1ab_0         100 KB  conda-forge\n","    pydeprecate-0.3.1          |     pyhd8ed1ab_0          13 KB  conda-forge\n","    pyjwt-2.8.0                |     pyhd8ed1ab_1          24 KB  conda-forge\n","    pyopenssl-23.2.0           |     pyhd8ed1ab_1         126 KB  conda-forge\n","    pysocks-1.7.1              |   py37h89c1867_5          28 KB  conda-forge\n","    python_abi-3.7             |          2_cp37m           4 KB  conda-forge\n","    pytorch-lightning-1.4.9    |     pyhd8ed1ab_0         288 KB  conda-forge\n","    pyu2f-0.1.5                |     pyhd8ed1ab_0          31 KB  conda-forge\n","    pyyaml-6.0                 |   py37h540881e_4         178 KB  conda-forge\n","    requests-2.32.2            |     pyhd8ed1ab_0          57 KB  conda-forge\n","    requests-oauthlib-2.0.0    |     pyhd8ed1ab_0          25 KB  conda-forge\n","    rsa-4.9                    |     pyhd8ed1ab_0          29 KB  conda-forge\n","    tensorboard-2.11.2         |     pyhd8ed1ab_0         5.4 MB  conda-forge\n","    tensorboard-data-server-0.6.0|   py37h38fbfac_2         3.1 MB  conda-forge\n","    tensorboard-plugin-wit-1.8.1|     pyhd8ed1ab_0         668 KB  conda-forge\n","    torchmetrics-0.6.0         |     pyhd8ed1ab_0         142 KB  conda-forge\n","    tqdm-4.67.1                |     pyhd8ed1ab_0          87 KB  conda-forge\n","    typing-extensions-4.4.0    |   py37h06a4308_0           8 KB\n","    urllib3-2.2.1              |     pyhd8ed1ab_0          92 KB  conda-forge\n","    werkzeug-2.2.3             |     pyhd8ed1ab_0         247 KB  conda-forge\n","    yaml-0.2.5                 |       h7f98852_2          87 KB  conda-forge\n","    yarl-1.7.2                 |   py37h540881e_2         132 KB  conda-forge\n","    zipp-3.15.0                |     pyhd8ed1ab_0          17 KB  conda-forge\n","    ------------------------------------------------------------\n","                                           Total:        20.5 MB\n","\n","The following NEW packages will be INSTALLED:\n","\n","  absl-py            conda-forge/noarch::absl-py-2.1.0-pyhd8ed1ab_0 \n","  aiohttp            conda-forge/linux-64::aiohttp-3.7.4.post0-py37h5e8e339_1 \n","  async-timeout      conda-forge/noarch::async-timeout-3.0.1-py_1000 \n","  attrs              conda-forge/noarch::attrs-24.2.0-pyh71513ae_0 \n","  blinker            conda-forge/noarch::blinker-1.6.3-pyhd8ed1ab_0 \n","  brotli-python      conda-forge/linux-64::brotli-python-1.0.9-py37hd23a5d3_7 \n","  c-ares             conda-forge/linux-64::c-ares-1.18.1-h7f98852_0 \n","  cachetools         conda-forge/noarch::cachetools-5.5.0-pyhd8ed1ab_0 \n","  cffi               conda-forge/linux-64::cffi-1.15.0-py37h036bc23_0 \n","  chardet            conda-forge/linux-64::chardet-4.0.0-py37h89c1867_3 \n","  charset-normalizer conda-forge/noarch::charset-normalizer-3.4.0-pyhd8ed1ab_0 \n","  click              conda-forge/linux-64::click-8.1.3-py37h89c1867_0 \n","  colorama           conda-forge/noarch::colorama-0.4.6-pyhd8ed1ab_0 \n","  cryptography       pkgs/main/linux-64::cryptography-39.0.1-py37h9ce1e76_0 \n","  fsspec             conda-forge/noarch::fsspec-2023.1.0-pyhd8ed1ab_0 \n","  future             conda-forge/linux-64::future-0.18.2-py37h89c1867_5 \n","  google-auth        conda-forge/noarch::google-auth-2.35.0-pyhff2d567_0 \n","  google-auth-oauth~ conda-forge/noarch::google-auth-oauthlib-0.4.6-pyhd8ed1ab_0 \n","  grpcio             conda-forge/linux-64::grpcio-1.38.1-py37hb27c1af_0 \n","  idna               conda-forge/noarch::idna-3.10-pyhd8ed1ab_0 \n","  importlib-metadata conda-forge/linux-64::importlib-metadata-4.11.4-py37h89c1867_0 \n","  libprotobuf        pkgs/main/linux-64::libprotobuf-3.20.1-h4ff587b_0 \n","  markdown           conda-forge/noarch::markdown-3.6-pyhd8ed1ab_0 \n","  markupsafe         conda-forge/linux-64::markupsafe-2.1.1-py37h540881e_1 \n","  multidict          conda-forge/linux-64::multidict-6.0.2-py37h540881e_1 \n","  oauthlib           conda-forge/noarch::oauthlib-3.2.2-pyhd8ed1ab_0 \n","  packaging          conda-forge/noarch::packaging-23.2-pyhd8ed1ab_0 \n","  protobuf           conda-forge/linux-64::protobuf-3.20.1-py37hd23a5d3_0 \n","  pyasn1             conda-forge/noarch::pyasn1-0.5.1-pyhd8ed1ab_0 \n","  pyasn1-modules     conda-forge/noarch::pyasn1-modules-0.3.0-pyhd8ed1ab_0 \n","  pycparser          conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0 \n","  pydeprecate        conda-forge/noarch::pydeprecate-0.3.1-pyhd8ed1ab_0 \n","  pyjwt              conda-forge/noarch::pyjwt-2.8.0-pyhd8ed1ab_1 \n","  pyopenssl          conda-forge/noarch::pyopenssl-23.2.0-pyhd8ed1ab_1 \n","  pysocks            conda-forge/linux-64::pysocks-1.7.1-py37h89c1867_5 \n","  python_abi         conda-forge/linux-64::python_abi-3.7-2_cp37m \n","  pytorch-lightning  conda-forge/noarch::pytorch-lightning-1.4.9-pyhd8ed1ab_0 \n","  pyu2f              conda-forge/noarch::pyu2f-0.1.5-pyhd8ed1ab_0 \n","  pyyaml             conda-forge/linux-64::pyyaml-6.0-py37h540881e_4 \n","  requests           conda-forge/noarch::requests-2.32.2-pyhd8ed1ab_0 \n","  requests-oauthlib  conda-forge/noarch::requests-oauthlib-2.0.0-pyhd8ed1ab_0 \n","  rsa                conda-forge/noarch::rsa-4.9-pyhd8ed1ab_0 \n","  tensorboard        conda-forge/noarch::tensorboard-2.11.2-pyhd8ed1ab_0 \n","  tensorboard-data-~ conda-forge/linux-64::tensorboard-data-server-0.6.0-py37h38fbfac_2 \n","  tensorboard-plugi~ conda-forge/noarch::tensorboard-plugin-wit-1.8.1-pyhd8ed1ab_0 \n","  torchmetrics       conda-forge/noarch::torchmetrics-0.6.0-pyhd8ed1ab_0 \n","  tqdm               conda-forge/noarch::tqdm-4.67.1-pyhd8ed1ab_0 \n","  typing-extensions  pkgs/main/linux-64::typing-extensions-4.4.0-py37h06a4308_0 \n","  urllib3            conda-forge/noarch::urllib3-2.2.1-pyhd8ed1ab_0 \n","  werkzeug           conda-forge/noarch::werkzeug-2.2.3-pyhd8ed1ab_0 \n","  yaml               conda-forge/linux-64::yaml-0.2.5-h7f98852_2 \n","  yarl               conda-forge/linux-64::yarl-1.7.2-py37h540881e_2 \n","  zipp               conda-forge/noarch::zipp-3.15.0-pyhd8ed1ab_0 \n","\n","The following packages will be UPDATED:\n","\n","  ca-certificates    pkgs/main/linux-64::ca-certificates-2~ --> conda-forge/noarch::ca-certificates-2025.8.3-hbd8a1cb_0 \n","  certifi            pkgs/main/linux-64::certifi-2022.12.7~ --> conda-forge/noarch::certifi-2024.8.30-pyhd8ed1ab_0 \n","\n","\n","Proceed ([y]/n)? y\n","\n","\n","Downloading and Extracting Packages:\n","tensorboard-2.11.2   | 5.4 MB    | :   0% 0/1 [00:00<?, ?it/s]\n","tensorboard-data-ser | 3.1 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n","\n","grpcio-1.38.1        | 2.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n","\n","\n","libprotobuf-3.20.1   | 2.1 MB    | : 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soupsieve, sniffio, Send2Trash, qtpy, pyzmq, python-dateutil, pyrsistent, pyparsing, pygments, pyflakes, pycodestyle, psutil, prompt-toolkit, prometheus-client, pkgutil-resolve-name, pexpect, pathspec, parso, pandocfilters, opencv-python, nest-asyncio, mypy-extensions, mistune, lxml, jupyterlab_widgets, jupyterlab-pygments, jsonargparse, jinja2, isort, importlib-resources, fonttools, entrypoints, docstring-parser, defusedxml, decorator, debugpy, cycler, bleach, terminado, platformdirs, matplotlib-inline, kiwisolver, jupyter-core, jedi, exceptiongroup, comm, beautifulsoup4, argon2-cffi-bindings, matplotlib, jupyter-client, ipython, flake8, argon2-cffi, anyio, typer, jsonschema, ipywidgets, ipykernel, black, qtconsole, nbformat, jupyter-console, nbclient, nbconvert, jupyter-server, notebook-shim, nbclassic, notebook, jupyter\n","  Attempting uninstall: editdistance\n","    Found existing installation: editdistance 0.6.2\n","    Uninstalling editdistance-0.6.2:\n","      Successfully 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jsonschema-4.17.3 jupyter-1.0.0 jupyter-client-7.4.9 jupyter-console-6.6.3 jupyter-core-4.12.0 jupyter-server-1.24.0 jupyterlab-pygments-0.2.2 jupyterlab_widgets-3.0.15 kiwisolver-1.4.5 lxml-5.4.0 matplotlib-3.5.1 matplotlib-inline-0.1.6 mccabe-0.6.1 mistune-3.0.2 mypy-extensions-1.0.0 nbclassic-1.2.0 nbclient-0.7.4 nbconvert-7.6.0 nbformat-5.8.0 nest-asyncio-1.6.0 notebook-6.5.7 notebook-shim-0.2.4 opencv-python-4.5.4.60 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.11.2 pexpect-4.9.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 platformdirs-4.0.0 prometheus-client-0.17.1 prompt-toolkit-3.0.48 psutil-7.0.0 ptyprocess-0.7.0 pycodestyle-2.7.0 pyflakes-2.3.1 pygments-2.17.2 pyparsing-3.1.4 pyrsistent-0.19.3 python-dateutil-2.9.0.post0 pyzmq-26.2.1 qtconsole-5.4.4 qtpy-2.4.3 sniffio-1.3.1 soupsieve-2.4.1 terminado-0.17.1 tinycss2-1.2.1 tomli-2.0.1 tornado-6.2 traitlets-5.9.0 typed-ast-1.5.5 typer-0.4.1 typing-extensions-4.7.1 wcwidth-0.2.13 webencodings-0.5.1 websocket-client-1.6.1 widgetsnbextension-4.0.14\n"]}]},{"cell_type":"code","source":["#change line 14 and line 52 of /content/ICAL/config/hme100k.yaml  according to ur resources available on colab optimal was because of 1 gpu available\n","# line 14 : gpus: 1\n","# line 52 :  num_workers: 2\n","# LINE 46 : folder: data/HME100k"],"metadata":{"id":"iz8sZ3c-GuvL","executionInfo":{"status":"ok","timestamp":1755100543719,"user_tz":-345,"elapsed":36,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["# train ICAL model using 4 gpus and ddp on hme100k dataset\n","!source /usr/local/bin/activate newenv && python -u train.py --config config/hme100k.yaml"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ixQLYlLhGf9H","executionInfo":{"status":"ok","timestamp":1755101146057,"user_tz":-345,"elapsed":75654,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"4d3c1e0c-90f1-4f6d-d954-556b7df5a845"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["Global seed set to 7\n","Load data from: data/HME100k\n","GPU available: True, used: True\n","TPU available: False, using: 0 TPU cores\n","IPU available: False, using: 0 IPUs\n","Global seed set to 7\n","initializing ddp: GLOBAL_RANK: 0, MEMBER: 1/1\n","----------------------------------------------------------------------------------------------------\n","distributed_backend=nccl\n","All DDP processes registered. Starting ddp with 1 processes\n","----------------------------------------------------------------------------------------------------\n","\n","Extract data from: train, with data size: 74502\n","total  12535 batch data loaded\n","Extract data from: test, with data size: 24607\n","total  6507 batch data loaded\n","/usr/local/envs/newenv/lib/python3.7/site-packages/jsonargparse/typehints.py:402: UserWarning: Not possible to serialize an instance of Plugin. It will be represented as the string <pytorch_lightning.plugins.training_type.ddp.DDPPlugin object at 0x7f4e5c1d93d0>. If this was set as a default, consider setting a dict or using lazy_instance.\n","  'string ' + val + '. If this was set as a default, consider setting a dict or using lazy_instance.'\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","\n","  | Name             | Type            | Params\n","-----------------------------------------------------\n","0 | ical_model       | ICAL            | 7.5 M \n","1 | exprate_recorder | ExpRateRecorder | 0     \n","-----------------------------------------------------\n","7.5 M     Trainable params\n","0         Non-trainable params\n","7.5 M     Total params\n","30.032    Total estimated model params size (MB)\n","Global seed set to 7\n","Epoch 0:   0% 20/12535 [00:05<58:51,  3.54it/s, loss=11.5, v_num=3]/usr/local/envs/newenv/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py:1051: UserWarning: Detected KeyboardInterrupt, attempting graceful shutdown...\n","  rank_zero_warn(\"Detected KeyboardInterrupt, attempting graceful shutdown...\")\n"]}]}]}