5-Datasets_CODE-CL/notebook.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyPI3oBByTEx4LVaj1TZbcYb"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"o_4RMyjdGKwe","executionInfo":{"status":"ok","timestamp":1754210595834,"user_tz":-345,"elapsed":1332,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"8aa96f4f-f8e3-4269-9bb3-f08c1e49c697"},"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'CODE-CL'...\n","remote: Enumerating objects: 33, done.\u001b[K\n","remote: Counting objects: 100% (33/33), done.\u001b[K\n","remote: Compressing objects: 100% (26/26), done.\u001b[K\n","remote: Total 33 (delta 3), reused 30 (delta 3), pack-reused 0 (from 0)\u001b[K\n","Receiving objects: 100% (33/33), 226.65 KiB | 28.33 MiB/s, done.\n","Resolving deltas: 100% (3/3), done.\n"]}],"source":["!git clone https://github.com/mapolinario94/CODE-CL.git"]},{"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"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"9Xi8EI1IGfpL","executionInfo":{"status":"ok","timestamp":1754210706148,"user_tz":-345,"elapsed":21111,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"6b85e5c5-96cc-4ec0-a702-8b8065465489"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["--2025-08-03 08:44:45--  https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n","Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.32.241, 104.16.191.158, 2606:4700::6810:20f1, ...\n","Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.32.241|: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.1’\n","\n","Miniconda3-latest-L 100%[===================>] 152.62M   322MB/s    in 0.5s    \n","\n","2025-08-03 08:44:45 (322 MB/s) - ‘Miniconda3-latest-Linux-x86_64.sh.1’ 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"]}]},{"cell_type":"code","source":["import sys\n","sys.path.append('/usr/local/lib/python3.9/site-packages')"],"metadata":{"id":"ikwRcn4DG4ME","executionInfo":{"status":"ok","timestamp":1754210733485,"user_tz":-345,"elapsed":3,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["!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":"9vcsoodMG6es","executionInfo":{"status":"ok","timestamp":1754210744251,"user_tz":-345,"elapsed":2213,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"e4e56fdb-28e8-47b5-af9e-533c79defe81"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["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=3.8.5 -y\n","!source /usr/local/bin/activate newenv && pip install \\\n","    avalanche-lib==0.5.0 mlflow==2.10.2 numpy==1.24.1 Pillow==11.0.0 scikit-learn==1.4.2 torch==2.2.1+cu118 torchvision==0.17.1+cu118 \\\n","    -f https://download.pytorch.org/whl/cu118/torch_stable.html"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"92wlIuf5G8mE","executionInfo":{"status":"ok","timestamp":1754210769588,"user_tz":-345,"elapsed":17085,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"f68b6b8f-09f6-4f65-e632-2eae877a0b86"},"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"," - 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\bdone\n","Solving environment: / \b\bdone\n","\n","## Package Plan ##\n","\n","  environment location: /usr/local/envs/newenv\n","\n","  added / updated specs:\n","    - python=3.8.5\n","\n","\n","The following packages will be downloaded:\n","\n","    package                    |            build\n","    ---------------------------|-----------------\n","    libffi-3.3                 |       he6710b0_2          50 KB\n","    ncurses-6.5                |       h7934f7d_0         1.1 MB\n","    openssl-1.1.1w             |       h7f8727e_0         3.7 MB\n","    pip-24.2                   |   py38h06a4308_0         2.2 MB\n","    python-3.8.5               |       h7579374_1        49.3 MB\n","    setuptools-75.1.0          |   py38h06a4308_0         1.7 MB\n","    wheel-0.44.0               |   py38h06a4308_0         108 KB\n","    ------------------------------------------------------------\n","                                           Total:        58.1 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-2025.2.25-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-3.3-he6710b0_2 \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-24.2-py38h06a4308_0 \n","  pthread-stubs      pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 \n","  python             pkgs/main/linux-64::python-3.8.5-h7579374_1 \n","  readline           pkgs/main/linux-64::readline-8.2-h5eee18b_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-8.6.14-h993c535_1 \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-3.8.5         | 49.3 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-24.2             | 2.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n","\n","\n","setuptools-75.1.0    | 1.7 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","wheel-0.44.0         | 108 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","libffi-3.3           | 50 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","python-3.8.5         | 49.3 MB   | :   7% 0.06563289571463958/1 [00:00<00:01,  1.54s/it]\n","\n","pip-24.2             | 2.2 MB    | : 100% 0.99731992374216/1 [00:00<00:00,  9.97it/s]\u001b[A\u001b[A\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | :  76% 0.7584388721599923/1 [00:00<00:00,  7.32it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  9.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  9.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","pip-24.2             | 2.2 MB    | : 100% 1.0/1 [00:00<00:00,  9.97it/s]             \u001b[A\u001b[A\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | :  15% 0.14783134378186213/1 [00:00<00:00,  1.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | : 100% 1.0/1 [00:00<00:00,  1.08it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","setuptools-75.1.0    | 1.7 MB    | : 100% 1.0/1 [00:00<00:00,  7.32it/s]               \u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","libffi-3.3           | 50 KB     | :  32% 0.3178705158799449/1 [00:00<00:00,  1.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","python-3.8.5         | 49.3 MB   | :  17% 0.165509041367352/1 [00:00<00:00,  1.17s/it]  \n","python-3.8.5         | 49.3 MB   | :  97% 0.9654694079762199/1 [00:00<00:00,  1.23it/s]\n","\n","pip-24.2             | 2.2 MB    | : 100% 1.0/1 [00:01<00:00,  9.97it/s]\u001b[A\u001b[A\n","\n","\n","\n","\n","wheel-0.44.0         | 108 KB    | : 100% 1.0/1 [00:01<00:00,  1.17s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","python-3.8.5         | 49.3 MB   | : 100% 1.0/1 [00:01<00:00,  1.23it/s]               \n","\n","\n","setuptools-75.1.0    | 1.7 MB    | : 100% 1.0/1 [00:01<00:00,  7.32it/s]\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","libffi-3.3           | 50 KB     | : 100% 1.0/1 [00:01<00:00,  2.03s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","\n","\n","libffi-3.3           | 50 KB     | : 100% 1.0/1 [00:01<00:00,  2.03s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n","\n","\n","\n","ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:01<00:00,  9.23it/s]\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","Preparing transaction: \\ \b\b| \b\bdone\n","Verifying transaction: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n","Executing transaction: / \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","Looking in links: https://download.pytorch.org/whl/cu118/torch_stable.html\n","Collecting avalanche-lib==0.5.0\n","  Downloading avalanche_lib-0.5.0-py3-none-any.whl.metadata (12 kB)\n","Collecting mlflow==2.10.2\n","  Downloading mlflow-2.10.2-py3-none-any.whl.metadata (13 kB)\n","Collecting numpy==1.24.1\n","  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)\n","\u001b[31mERROR: Ignored the following versions that require a different python version: 1.25.0 Requires-Python >=3.9; 1.25.1 Requires-Python >=3.9; 1.25.2 Requires-Python >=3.9; 1.26.0 Requires-Python <3.13,>=3.9; 1.26.1 Requires-Python <3.13,>=3.9; 1.26.2 Requires-Python >=3.9; 1.26.3 Requires-Python >=3.9; 1.26.4 Requires-Python >=3.9; 11.0.0 Requires-Python >=3.9; 11.1.0 Requires-Python >=3.9; 11.2.1 Requires-Python >=3.9; 11.3.0 Requires-Python >=3.9; 2.0.0 Requires-Python >=3.9; 2.0.1 Requires-Python >=3.9; 2.0.2 Requires-Python >=3.9; 2.1.0 Requires-Python >=3.10; 2.1.1 Requires-Python >=3.10; 2.1.2 Requires-Python >=3.10; 2.1.3 Requires-Python >=3.10; 2.18.0 Requires-Python >=3.9; 2.18.0rc0 Requires-Python >=3.9; 2.19.0 Requires-Python >=3.9; 2.19.0rc0 Requires-Python >=3.9; 2.2.0 Requires-Python >=3.10; 2.2.1 Requires-Python >=3.10; 2.2.2 Requires-Python >=3.10; 2.2.3 Requires-Python >=3.10; 2.2.4 Requires-Python >=3.10; 2.2.5 Requires-Python >=3.10; 2.2.6 Requires-Python >=3.10; 2.20.0 Requires-Python >=3.9; 2.20.0rc0 Requires-Python >=3.9; 2.20.1 Requires-Python >=3.9; 2.20.2 Requires-Python >=3.9; 2.20.3 Requires-Python >=3.9; 2.20.4 Requires-Python >=3.9; 2.21.0 Requires-Python >=3.9; 2.21.0rc0 Requires-Python >=3.9; 2.21.1 Requires-Python >=3.9; 2.21.2 Requires-Python >=3.9; 2.21.3 Requires-Python >=3.9; 2.22.0 Requires-Python >=3.9; 2.22.0rc0 Requires-Python >=3.9; 2.22.1 Requires-Python >=3.9; 2.3.0 Requires-Python >=3.11; 2.3.1 Requires-Python >=3.11; 2.3.2 Requires-Python >=3.11; 3.0.0 Requires-Python >=3.9; 3.0.0rc0 Requires-Python >=3.9; 3.0.0rc1 Requires-Python >=3.9; 3.0.0rc2 Requires-Python >=3.9; 3.0.0rc3 Requires-Python >=3.9; 3.0.1 Requires-Python >=3.9; 3.1.0 Requires-Python >=3.9; 3.1.0rc0 Requires-Python >=3.9; 3.1.1 Requires-Python >=3.9; 3.1.2 Requires-Python >=3.9; 3.1.3 Requires-Python >=3.9; 3.1.4 Requires-Python >=3.9; 3.2.0rc0 Requires-Python >=3.10\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: Could not find a version that satisfies the requirement Pillow==11.0.0 (from versions: 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7.0, 1.7.1, 1.7.2, 1.7.3, 1.7.4, 1.7.5, 1.7.6, 1.7.7, 1.7.8, 2.0.0, 2.1.0, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.7.0, 2.8.0, 2.8.1, 2.8.2, 2.9.0, 3.0.0, 3.1.0rc1, 3.1.0, 3.1.1, 3.1.2, 3.2.0, 3.3.0, 3.3.1, 3.3.2, 3.3.3, 3.4.0, 3.4.1, 3.4.2, 4.0.0, 4.1.0, 4.1.1, 4.2.0, 4.2.1, 4.3.0, 5.0.0, 5.1.0, 5.2.0, 5.3.0, 5.4.0, 5.4.1, 6.0.0, 6.1.0, 6.2.0, 6.2.1, 6.2.2, 7.0.0, 7.1.0, 7.1.1, 7.1.2, 7.2.0, 8.0.0, 8.0.1, 8.1.0, 8.1.1, 8.1.2, 8.2.0, 8.3.0, 8.3.1, 8.3.2, 8.4.0, 9.0.0, 9.0.1, 9.1.0, 9.1.1, 9.2.0, 9.3.0, 9.4.0, 9.5.0, 10.0.0, 10.0.1, 10.1.0, 10.2.0, 10.3.0, 10.4.0)\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: No matching distribution found for Pillow==11.0.0\u001b[0m\u001b[31m\n","\u001b[0m"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && pip install \\\n","    avalanche-lib==0.5.0 \\\n","    mlflow==2.10.2 \\\n","    numpy==1.23.5 \\\n","    Pillow==10.4.0 \\\n","    scikit-learn==1.4.2 \\\n","    torch==2.2.1+cu118 \\\n","    torchvision==0.17.1+cu118 \\\n","    -f https://download.pytorch.org/whl/cu118/torch_stable.html"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"lxIutipyHEAM","executionInfo":{"status":"ok","timestamp":1754210836178,"user_tz":-345,"elapsed":12044,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"b662ab99-aefc-4bb6-a4ea-792c28749110"},"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in links: https://download.pytorch.org/whl/cu118/torch_stable.html\n","Collecting avalanche-lib==0.5.0\n","  Using cached avalanche_lib-0.5.0-py3-none-any.whl.metadata (12 kB)\n","Collecting mlflow==2.10.2\n","  Using cached mlflow-2.10.2-py3-none-any.whl.metadata (13 kB)\n","Collecting numpy==1.23.5\n","  Downloading numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)\n","Collecting Pillow==10.4.0\n","  Downloading pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (9.2 kB)\n","\u001b[31mERROR: Ignored the following versions that require a different python version: 1.25.0 Requires-Python >=3.9; 1.25.1 Requires-Python >=3.9; 1.25.2 Requires-Python >=3.9; 1.26.0 Requires-Python <3.13,>=3.9; 1.26.1 Requires-Python <3.13,>=3.9; 1.26.2 Requires-Python >=3.9; 1.26.3 Requires-Python >=3.9; 1.26.4 Requires-Python >=3.9; 1.4.0 Requires-Python >=3.9; 1.4.0rc1 Requires-Python >=3.9; 1.4.1.post1 Requires-Python >=3.9; 1.4.2 Requires-Python >=3.9; 1.5.0 Requires-Python >=3.9; 1.5.0rc1 Requires-Python >=3.9; 1.5.1 Requires-Python >=3.9; 1.5.2 Requires-Python >=3.9; 1.6.0 Requires-Python >=3.9; 1.6.0rc1 Requires-Python >=3.9; 1.6.1 Requires-Python >=3.9; 1.7.0 Requires-Python >=3.10; 1.7.0rc1 Requires-Python >=3.10; 1.7.1 Requires-Python >=3.10; 11.0.0 Requires-Python >=3.9; 11.1.0 Requires-Python >=3.9; 11.2.1 Requires-Python >=3.9; 11.3.0 Requires-Python >=3.9; 2.0.0 Requires-Python >=3.9; 2.0.1 Requires-Python >=3.9; 2.0.2 Requires-Python >=3.9; 2.1.0 Requires-Python >=3.10; 2.1.1 Requires-Python >=3.10; 2.1.2 Requires-Python >=3.10; 2.1.3 Requires-Python >=3.10; 2.18.0 Requires-Python >=3.9; 2.18.0rc0 Requires-Python >=3.9; 2.19.0 Requires-Python >=3.9; 2.19.0rc0 Requires-Python >=3.9; 2.2.0 Requires-Python >=3.10; 2.2.1 Requires-Python >=3.10; 2.2.2 Requires-Python >=3.10; 2.2.3 Requires-Python >=3.10; 2.2.4 Requires-Python >=3.10; 2.2.5 Requires-Python >=3.10; 2.2.6 Requires-Python >=3.10; 2.20.0 Requires-Python >=3.9; 2.20.0rc0 Requires-Python >=3.9; 2.20.1 Requires-Python >=3.9; 2.20.2 Requires-Python >=3.9; 2.20.3 Requires-Python >=3.9; 2.20.4 Requires-Python >=3.9; 2.21.0 Requires-Python >=3.9; 2.21.0rc0 Requires-Python >=3.9; 2.21.1 Requires-Python >=3.9; 2.21.2 Requires-Python >=3.9; 2.21.3 Requires-Python >=3.9; 2.22.0 Requires-Python >=3.9; 2.22.0rc0 Requires-Python >=3.9; 2.22.1 Requires-Python >=3.9; 2.3.0 Requires-Python >=3.11; 2.3.1 Requires-Python >=3.11; 2.3.2 Requires-Python >=3.11; 3.0.0 Requires-Python >=3.9; 3.0.0rc0 Requires-Python >=3.9; 3.0.0rc1 Requires-Python >=3.9; 3.0.0rc2 Requires-Python >=3.9; 3.0.0rc3 Requires-Python >=3.9; 3.0.1 Requires-Python >=3.9; 3.1.0 Requires-Python >=3.9; 3.1.0rc0 Requires-Python >=3.9; 3.1.1 Requires-Python >=3.9; 3.1.2 Requires-Python >=3.9; 3.1.3 Requires-Python >=3.9; 3.1.4 Requires-Python >=3.9; 3.2.0rc0 Requires-Python >=3.10\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: Could not find a version that satisfies the requirement scikit-learn==1.4.2 (from versions: 0.9, 0.10, 0.11, 0.12, 0.12.1, 0.13, 0.13.1, 0.14, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0, 0.16.1, 0.17, 0.17.1, 0.18, 0.18.1, 0.18.2, 0.19.0, 0.19.1, 0.19.2, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.20.4, 0.21.1, 0.21.2, 0.21.3, 0.22, 0.22.1, 0.22.2, 0.22.2.post1, 0.23.0, 0.23.1, 0.23.2, 0.24.0, 0.24.1, 0.24.2, 1.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.2.0rc1, 1.2.0, 1.2.1, 1.2.2, 1.3.0rc1, 1.3.0, 1.3.1, 1.3.2)\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: No matching distribution found for scikit-learn==1.4.2\u001b[0m\u001b[31m\n","\u001b[0m"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && pip install \\\n","    avalanche-lib==0.5.0 \\\n","    mlflow==2.10.2 \\\n","    numpy==1.23.5 \\\n","    Pillow==10.4.0 \\\n","    scikit-learn==1.3.2"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"v7HevgoyHbjD","executionInfo":{"status":"ok","timestamp":1754211117335,"user_tz":-345,"elapsed":228450,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"e0506d03-b9aa-4889-d7f1-4923872d3d74"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting avalanche-lib==0.5.0\n","  Using cached avalanche_lib-0.5.0-py3-none-any.whl.metadata (12 kB)\n","Collecting mlflow==2.10.2\n","  Using cached mlflow-2.10.2-py3-none-any.whl.metadata (13 kB)\n","Collecting numpy==1.23.5\n","  Using cached numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)\n","Collecting Pillow==10.4.0\n","  Using cached pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (9.2 kB)\n","Collecting scikit-learn==1.3.2\n","  Downloading scikit_learn-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n","Collecting typing-extensions>=4.6.0 (from avalanche-lib==0.5.0)\n","  Downloading typing_extensions-4.13.2-py3-none-any.whl.metadata (3.0 kB)\n","Collecting psutil (from avalanche-lib==0.5.0)\n","  Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB)\n","Collecting gputil (from avalanche-lib==0.5.0)\n","  Downloading GPUtil-1.4.0.tar.gz (5.5 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Collecting matplotlib (from avalanche-lib==0.5.0)\n","  Downloading matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (5.7 kB)\n","Collecting pytorchcv (from avalanche-lib==0.5.0)\n","  Downloading pytorchcv-0.0.67-py2.py3-none-any.whl.metadata (133 kB)\n","Collecting wandb (from avalanche-lib==0.5.0)\n","  Downloading wandb-0.21.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)\n","Collecting tensorboard>=1.15 (from avalanche-lib==0.5.0)\n","  Downloading tensorboard-2.14.0-py3-none-any.whl.metadata (1.8 kB)\n","Collecting tqdm (from avalanche-lib==0.5.0)\n","  Downloading tqdm-4.67.1-py3-none-any.whl.metadata (57 kB)\n","Collecting torch (from avalanche-lib==0.5.0)\n","  Downloading torch-2.4.1-cp38-cp38-manylinux1_x86_64.whl.metadata (26 kB)\n","Collecting torchvision (from avalanche-lib==0.5.0)\n","  Downloading torchvision-0.19.1-cp38-cp38-manylinux1_x86_64.whl.metadata (6.0 kB)\n","Collecting torchmetrics (from avalanche-lib==0.5.0)\n","  Downloading torchmetrics-1.5.2-py3-none-any.whl.metadata (20 kB)\n","Collecting gdown (from avalanche-lib==0.5.0)\n","  Downloading gdown-5.2.0-py3-none-any.whl.metadata (5.8 kB)\n","Collecting qpsolvers[open_source_solvers] (from avalanche-lib==0.5.0)\n","  Downloading qpsolvers-4.8.0-py3-none-any.whl.metadata (12 kB)\n","Collecting dill (from avalanche-lib==0.5.0)\n","  Downloading dill-0.4.0-py3-none-any.whl.metadata (10 kB)\n","Collecting packaging (from avalanche-lib==0.5.0)\n","  Downloading packaging-25.0-py3-none-any.whl.metadata (3.3 kB)\n","Collecting click<9,>=7.0 (from mlflow==2.10.2)\n","  Downloading click-8.1.8-py3-none-any.whl.metadata (2.3 kB)\n","Collecting cloudpickle<4 (from mlflow==2.10.2)\n","  Downloading cloudpickle-3.1.1-py3-none-any.whl.metadata (7.1 kB)\n","Collecting entrypoints<1 (from mlflow==2.10.2)\n","  Downloading entrypoints-0.4-py3-none-any.whl.metadata (2.6 kB)\n","Collecting gitpython<4,>=2.1.0 (from mlflow==2.10.2)\n","  Downloading gitpython-3.1.45-py3-none-any.whl.metadata (13 kB)\n","Collecting pyyaml<7,>=5.1 (from mlflow==2.10.2)\n","  Downloading PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)\n","Collecting protobuf<5,>=3.12.0 (from mlflow==2.10.2)\n","  Downloading protobuf-4.25.8-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)\n","Collecting pytz<2024 (from mlflow==2.10.2)\n","  Downloading pytz-2023.4-py2.py3-none-any.whl.metadata (22 kB)\n","Collecting requests<3,>=2.17.3 (from mlflow==2.10.2)\n","  Downloading requests-2.32.4-py3-none-any.whl.metadata (4.9 kB)\n","Collecting packaging (from avalanche-lib==0.5.0)\n","  Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)\n","Collecting importlib-metadata!=4.7.0,<8,>=3.7.0 (from mlflow==2.10.2)\n","  Downloading importlib_metadata-7.2.1-py3-none-any.whl.metadata (4.6 kB)\n","Collecting sqlparse<1,>=0.4.0 (from mlflow==2.10.2)\n","  Downloading sqlparse-0.5.3-py3-none-any.whl.metadata (3.9 kB)\n","Collecting alembic!=1.10.0,<2 (from mlflow==2.10.2)\n","  Downloading alembic-1.14.1-py3-none-any.whl.metadata (7.4 kB)\n","Collecting docker<8,>=4.0.0 (from mlflow==2.10.2)\n","  Downloading docker-7.1.0-py3-none-any.whl.metadata (3.8 kB)\n","Collecting Flask<4 (from mlflow==2.10.2)\n","  Downloading flask-3.0.3-py3-none-any.whl.metadata (3.2 kB)\n","Collecting scipy<2 (from mlflow==2.10.2)\n","  Downloading scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (58 kB)\n","Collecting pandas<3 (from mlflow==2.10.2)\n","  Downloading pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)\n","Collecting querystring-parser<2 (from mlflow==2.10.2)\n","  Downloading querystring_parser-1.2.4-py2.py3-none-any.whl.metadata (559 bytes)\n","Collecting sqlalchemy<3,>=1.4.0 (from mlflow==2.10.2)\n","  Downloading sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.6 kB)\n","Collecting pyarrow<16,>=4.0.0 (from mlflow==2.10.2)\n","  Downloading pyarrow-15.0.2-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (3.0 kB)\n","Collecting markdown<4,>=3.3 (from mlflow==2.10.2)\n","  Downloading Markdown-3.7-py3-none-any.whl.metadata (7.0 kB)\n","Collecting gunicorn<22 (from mlflow==2.10.2)\n","  Downloading gunicorn-21.2.0-py3-none-any.whl.metadata (4.1 kB)\n","Collecting Jinja2<4,>=2.11 (from mlflow==2.10.2)\n","  Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)\n","Collecting joblib>=1.1.1 (from scikit-learn==1.3.2)\n","  Downloading joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB)\n","Collecting threadpoolctl>=2.0.0 (from scikit-learn==1.3.2)\n","  Downloading threadpoolctl-3.5.0-py3-none-any.whl.metadata (13 kB)\n","Collecting Mako (from alembic!=1.10.0,<2->mlflow==2.10.2)\n","  Downloading mako-1.3.10-py3-none-any.whl.metadata (2.9 kB)\n","Collecting importlib-resources (from alembic!=1.10.0,<2->mlflow==2.10.2)\n","  Downloading importlib_resources-6.4.5-py3-none-any.whl.metadata (4.0 kB)\n","Collecting urllib3>=1.26.0 (from docker<8,>=4.0.0->mlflow==2.10.2)\n","  Downloading urllib3-2.2.3-py3-none-any.whl.metadata (6.5 kB)\n","Collecting Werkzeug>=3.0.0 (from Flask<4->mlflow==2.10.2)\n","  Downloading werkzeug-3.0.6-py3-none-any.whl.metadata (3.7 kB)\n","Collecting itsdangerous>=2.1.2 (from Flask<4->mlflow==2.10.2)\n","  Downloading itsdangerous-2.2.0-py3-none-any.whl.metadata (1.9 kB)\n","Collecting blinker>=1.6.2 (from Flask<4->mlflow==2.10.2)\n","  Downloading blinker-1.8.2-py3-none-any.whl.metadata (1.6 kB)\n","Collecting gitdb<5,>=4.0.1 (from gitpython<4,>=2.1.0->mlflow==2.10.2)\n","  Downloading gitdb-4.0.12-py3-none-any.whl.metadata (1.2 kB)\n","Collecting zipp>=0.5 (from importlib-metadata!=4.7.0,<8,>=3.7.0->mlflow==2.10.2)\n","  Downloading zipp-3.20.2-py3-none-any.whl.metadata (3.7 kB)\n","Collecting MarkupSafe>=2.0 (from Jinja2<4,>=2.11->mlflow==2.10.2)\n","  Downloading MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\n","Collecting contourpy>=1.0.1 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading contourpy-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.9 kB)\n","Collecting cycler>=0.10 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)\n","Collecting fonttools>=4.22.0 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading fonttools-4.57.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (102 kB)\n","Collecting kiwisolver>=1.0.1 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (6.3 kB)\n","Collecting pyparsing>=2.3.1 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading pyparsing-3.1.4-py3-none-any.whl.metadata (5.1 kB)\n","Collecting python-dateutil>=2.7 (from matplotlib->avalanche-lib==0.5.0)\n","  Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)\n","Collecting tzdata>=2022.1 (from pandas<3->mlflow==2.10.2)\n","  Downloading tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)\n","Collecting six (from querystring-parser<2->mlflow==2.10.2)\n","  Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)\n","Collecting charset_normalizer<4,>=2 (from requests<3,>=2.17.3->mlflow==2.10.2)\n","  Downloading charset_normalizer-3.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (35 kB)\n","Collecting idna<4,>=2.5 (from requests<3,>=2.17.3->mlflow==2.10.2)\n","  Downloading idna-3.10-py3-none-any.whl.metadata (10 kB)\n","Collecting certifi>=2017.4.17 (from requests<3,>=2.17.3->mlflow==2.10.2)\n","  Downloading certifi-2025.8.3-py3-none-any.whl.metadata (2.4 kB)\n","Collecting greenlet>=1 (from sqlalchemy<3,>=1.4.0->mlflow==2.10.2)\n","  Downloading greenlet-3.1.1-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (3.8 kB)\n","Collecting absl-py>=0.4 (from tensorboard>=1.15->avalanche-lib==0.5.0)\n","  Downloading absl_py-2.3.1-py3-none-any.whl.metadata (3.3 kB)\n","Collecting grpcio>=1.48.2 (from tensorboard>=1.15->avalanche-lib==0.5.0)\n","  Downloading grpcio-1.70.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.9 kB)\n","Collecting google-auth<3,>=1.6.3 (from tensorboard>=1.15->avalanche-lib==0.5.0)\n","  Downloading google_auth-2.40.3-py2.py3-none-any.whl.metadata (6.2 kB)\n","Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard>=1.15->avalanche-lib==0.5.0)\n","  Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl.metadata (2.7 kB)\n","Requirement already satisfied: setuptools>=41.0.0 in /usr/local/envs/newenv/lib/python3.8/site-packages (from tensorboard>=1.15->avalanche-lib==0.5.0) (75.1.0)\n","Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard>=1.15->avalanche-lib==0.5.0)\n","  Downloading tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl.metadata (1.1 kB)\n","Requirement already satisfied: wheel>=0.26 in /usr/local/envs/newenv/lib/python3.8/site-packages (from tensorboard>=1.15->avalanche-lib==0.5.0) (0.44.0)\n","Collecting beautifulsoup4 (from gdown->avalanche-lib==0.5.0)\n","  Downloading beautifulsoup4-4.13.4-py3-none-any.whl.metadata (3.8 kB)\n","Collecting 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pyasn1, psutil, protobuf, platformdirs, Pillow, packaging, opt-einsum, oauthlib, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, MarkupSafe, kiwisolver, joblib, itsdangerous, idna, grpcio, greenlet, fsspec, fonttools, filelock, eval-type-backport, entrypoints, dill, cycler, cvxopt, cloudpickle, click, charset_normalizer, certifi, cachetools, blinker, absl-py, Werkzeug, triton, sqlalchemy, sentry-sdk, scipy, rsa, requests, querystring-parser, quadprog, python-dateutil, pydantic-core, pyasn1-modules, pyarrow, nvidia-cusparse-cu12, nvidia-cudnn-cu12, ml-dtypes, Mako, lightning-utilities, Jinja2, importlib-resources, importlib-metadata, highspy, gunicorn, gitdb, contourpy, cmeel, beautifulsoup4, annotated-types, scs, scikit-learn, requests-oauthlib, qpsolvers, qpalm, qdldl, pytorchcv, pydantic, proxsuite, piqp, pandas, nvidia-cusolver-cu12, matplotlib, markdown, jaxlib, jax, google-auth, gitpython, Flask, ecos, docker, clarabel, alembic, wandb, torch, qpax, osqp, mlflow, jaxopt, google-auth-oauthlib, gdown, torchvision, torchmetrics, tensorboard, avalanche-lib\n","Successfully installed Flask-3.0.3 Jinja2-3.1.6 Mako-1.3.10 MarkupSafe-2.1.5 Pillow-10.4.0 PySocks-1.7.1 Werkzeug-3.0.6 absl-py-2.3.1 alembic-1.14.1 annotated-types-0.7.0 avalanche-lib-0.5.0 beautifulsoup4-4.13.4 blinker-1.8.2 cachetools-5.5.2 certifi-2025.8.3 charset_normalizer-3.4.2 clarabel-0.9.0 click-8.1.8 cloudpickle-3.1.1 cmeel-0.57.3 contourpy-1.1.1 cvxopt-1.3.2 cycler-0.12.1 daqp-0.7.1 dill-0.4.0 docker-7.1.0 ecos-2.0.14 entrypoints-0.4 eval-type-backport-0.2.2 filelock-3.16.1 fonttools-4.57.0 fsspec-2025.3.0 gdown-5.2.0 gitdb-4.0.12 gitpython-3.1.45 google-auth-2.40.3 google-auth-oauthlib-1.0.0 gputil-1.4.0 greenlet-3.1.1 grpcio-1.70.0 gunicorn-21.2.0 highspy-1.11.0 idna-3.10 importlib-metadata-7.2.1 importlib-resources-6.4.5 itsdangerous-2.2.0 jax-0.4.13 jaxlib-0.4.13 jaxopt-0.8.5 joblib-1.4.2 kiwisolver-1.4.7 lightning-utilities-0.11.9 markdown-3.7 matplotlib-3.7.5 ml-dtypes-0.2.0 mlflow-2.10.2 mpmath-1.3.0 networkx-3.1 numpy-1.23.5 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.9.86 nvidia-nvtx-cu12-12.1.105 oauthlib-3.3.1 opt-einsum-3.4.0 osqp-0.6.7.post3 packaging-23.2 pandas-2.0.3 piqp-0.6.0 platformdirs-4.3.6 protobuf-4.25.8 proxsuite-0.7.2 psutil-7.0.0 pyarrow-15.0.2 pyasn1-0.6.1 pyasn1-modules-0.4.2 pydantic-2.10.6 pydantic-core-2.27.2 pyparsing-3.1.4 python-dateutil-2.9.0.post0 pytorchcv-0.0.67 pytz-2023.4 pyyaml-6.0.2 qdldl-0.1.7.post5 qpalm-1.2.5 qpax-0.0.9 qpsolvers-4.6.0 quadprog-0.1.12 querystring-parser-1.2.4 requests-2.32.4 requests-oauthlib-2.0.0 rsa-4.9.1 scikit-learn-1.3.2 scipy-1.10.1 scs-3.2.7.post2 sentry-sdk-2.34.1 six-1.17.0 smmap-5.0.2 soupsieve-2.7 sqlalchemy-2.0.42 sqlparse-0.5.3 sympy-1.13.3 tensorboard-2.14.0 tensorboard-data-server-0.7.2 threadpoolctl-3.5.0 tomli-2.2.1 torch-2.4.1 torchmetrics-1.5.2 torchvision-0.19.1 tqdm-4.67.1 triton-3.0.0 typing-extensions-4.13.2 tzdata-2025.2 urllib3-2.2.3 wandb-0.21.0 zipp-3.20.2\n"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && python CODE-CL/main.py \\\n","    --lr 0.01 \\\n","    --aperture 3 3 3 3 3 3 \\\n","    --data-aug \\\n","    --dropout \\\n","    --basis-batch-size 100 \\\n","    --avg-pool \\\n","    --threshold-conv 0.9 \\\n","    --threshold-linear 0.95 \\\n","    --epochs 100 \\\n","    --model ResNet18 \\\n","    --dataset five_datasets \\\n","    --n-experiences 5 \\\n","    --print-freq 50 \\\n","    --batch-size 32 \\\n","    --aperture-gain 0.5 \\\n","    --save-path ./experiments_logs \\\n","    --experiment-name CL_Conceptors_Test \\\n","    --patience 5 \\\n","    --lr-threshold 1e-6 \\\n","    --lr-decay 1.5 \\\n","    --num-free-dim 10"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W4vRCPvkIXxb","executionInfo":{"status":"ok","timestamp":1754211225278,"user_tz":-345,"elapsed":7829,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"0a7b03c5-32b3-493c-ccef-53b75ed40d9c"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["usage: main.py\n","       [-h]\n","       [--lr LR]\n","       [--aperture APERTURE [APERTURE ...]]\n","       [--data-aug]\n","       [--dropout]\n","       [--basis-batch-size BASIS_BATCH_SIZE]\n","       [--avg-pool]\n","       [--threshold-conv THRESHOLD_CONV]\n","       [--threshold-linear THRESHOLD_LINEAR]\n","       [--epochs EPOCHS]\n","       [--model {AlexNet,MLP,ResNet18}]\n","       [--dataset {SplitCIFAR100,PermutedMNIST,MiniIMAGENET}]\n","       [--n-experiences N_EXPERIENCES]\n","       [--print-freq PRINT_FREQ]\n","       [--batch-size BATCH_SIZE]\n","       [--aperture-gain APERTURE_GAIN]\n","       [--save-path SAVE_PATH]\n","       [--experiment-name EXPERIMENT_NAME]\n","       [--patience PATIENCE]\n","       [--lr-threshold LR_THRESHOLD]\n","       [--lr-decay LR_DECAY]\n","       [--num-free-dim NUM_FREE_DIM]\n","main.py: error: argument --dataset: invalid choice: 'five_datasets' (choose from 'SplitCIFAR100', 'PermutedMNIST', 'MiniIMAGENET')\n"]}]},{"cell_type":"code","source":["!source /usr/local/bin/activate newenv && python CODE-CL/main_5datasets.py \\\n","    --lr 0.01 \\\n","    --aperture 3 3 3 3 3 3 \\\n","    --data-aug \\\n","    --dropout \\\n","    --basis-batch-size 100 \\\n","    --avg-pool \\\n","    --threshold-conv 0.9 \\\n","    --threshold-linear 0.95 \\\n","    --epochs 100 \\\n","    --model ResNet18 \\\n","    --n-experiences 5 \\\n","    --print-freq 50 \\\n","    --batch-size 32 \\\n","    --aperture-gain 0.5 \\\n","    --save-path ./experiments_logs \\\n","    --experiment-name CL_Conceptors_Test \\\n","    --patience 5 \\\n","    --lr-threshold 1e-6 \\\n","    --lr-decay 1.5 \\\n","    --num-free-dim 10"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"zH9hEIc7I9T7","executionInfo":{"status":"ok","timestamp":1754211991336,"user_tz":-345,"elapsed":269506,"user":{"displayName":"Santosh Upreti","userId":"01961227760879466523"}},"outputId":"f1ce1867-8fad-49aa-f617-de2f2f852cef"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["Namespace(aperture=[3.0, 3.0, 3.0, 3.0, 3.0, 3.0], aperture_gain=0.5, avg_pool=True, basis_batch_size=100, batch_size=32, data_aug=True, dataset='SplitCIFAR100', dropout=True, epochs=100, experiment_name='CL_Conceptors_Test', lr=0.01, lr_decay=1.5, lr_threshold=1e-06, model='ResNet18', n_experiences=5, num_free_dim=10, patience=5.0, print_freq=50, save_path='./experiments_logs/CL_Conceptors_Test_28532', threshold_conv=0.9, threshold_linear=0.95)\n","=> Everything will be saved to ./experiments_logs/CL_Conceptors_Test_28532/log.log\n","Task order = [0 1 2 3 4]\n","/content/CODE-CL/utils/five_datasets.py:224: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n","  data[n][s]['x'] = torch.load(os.path.join(os.path.expanduser('./Datasets/binary_mixture_5_Data'),'data'+str(idx)+s+'x.bin'))\n","/content/CODE-CL/utils/five_datasets.py:225: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n","  data[n][s]['y'] = torch.load(os.path.join(os.path.expanduser('./Datasets/binary_mixture_5_Data'),'data'+str(idx)+s+'y.bin'))\n","Starting experiment...\n","****************************************************************************************************\n","Task  0 (cifar10)\n","****************************************************************************************************\n","Start of experience 0\n","####################\n","Training on task: 0\n","####################\n","Epoch: [0][  49/1485]\tTime  0.012 ( 0.062)\tData  0.001 ( 0.010)\tLoss 2.2363e+00 (3.0075e+00)\tAcc@1  31.25 ( 14.00)\tAcc@5  65.62 ( 55.75)\n","Epoch: [0][  99/1485]\tTime  0.013 ( 0.038)\tData  0.001 ( 0.006)\tLoss 1.8985e+00 (2.5653e+00)\tAcc@1  34.38 ( 18.00)\tAcc@5  84.38 ( 64.69)\n","Epoch: [0][ 149/1485]\tTime  0.013 ( 0.029)\tData  0.001 ( 0.004)\tLoss 2.1593e+00 (2.3669e+00)\tAcc@1  18.75 ( 20.73)\tAcc@5  84.38 ( 70.19)\n","Epoch: [0][ 199/1485]\tTime  0.014 ( 0.025)\tData  0.001 ( 0.004)\tLoss 1.8083e+00 (2.2469e+00)\tAcc@1  34.38 ( 22.77)\tAcc@5  84.38 ( 73.19)\n","Epoch: [0][ 249/1485]\tTime  0.013 ( 0.023)\tData  0.002 ( 0.003)\tLoss 1.9343e+00 (2.1686e+00)\tAcc@1  31.25 ( 24.55)\tAcc@5  81.25 ( 75.29)\n","Epoch: [0][ 299/1485]\tTime  0.012 ( 0.021)\tData  0.001 ( 0.003)\tLoss 1.8606e+00 (2.1085e+00)\tAcc@1  28.12 ( 26.04)\tAcc@5  90.62 ( 77.18)\n","Epoch: [0][ 349/1485]\tTime  0.013 ( 0.020)\tData  0.001 ( 0.003)\tLoss 1.5749e+00 (2.0526e+00)\tAcc@1  46.88 ( 27.39)\tAcc@5  90.62 ( 78.83)\n","Epoch: [0][ 399/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.003)\tLoss 1.9145e+00 (2.0078e+00)\tAcc@1  31.25 ( 28.53)\tAcc@5  90.62 ( 80.04)\n","Epoch: [0][ 449/1485]\tTime  0.013 ( 0.018)\tData  0.001 ( 0.002)\tLoss 2.0308e+00 (1.9720e+00)\tAcc@1  28.12 ( 29.46)\tAcc@5  75.00 ( 80.92)\n","Epoch: [0][ 499/1485]\tTime  0.013 ( 0.018)\tData  0.001 ( 0.002)\tLoss 1.5772e+00 (1.9398e+00)\tAcc@1  40.62 ( 30.26)\tAcc@5  93.75 ( 81.81)\n","Epoch: [0][ 549/1485]\tTime  0.014 ( 0.017)\tData  0.001 ( 0.002)\tLoss 1.5989e+00 (1.9116e+00)\tAcc@1  46.88 ( 31.14)\tAcc@5  84.38 ( 82.56)\n","Epoch: [0][ 599/1485]\tTime  0.015 ( 0.017)\tData  0.003 ( 0.002)\tLoss 1.4565e+00 (1.8846e+00)\tAcc@1  59.38 ( 32.08)\tAcc@5  90.62 ( 83.20)\n","Epoch: [0][ 649/1485]\tTime  0.017 ( 0.017)\tData  0.003 ( 0.002)\tLoss 1.5476e+00 (1.8612e+00)\tAcc@1  40.62 ( 32.89)\tAcc@5  87.50 ( 83.76)\n","Epoch: [0][ 699/1485]\tTime  0.012 ( 0.017)\tData  0.001 ( 0.002)\tLoss 1.7601e+00 (1.8404e+00)\tAcc@1  40.62 ( 33.50)\tAcc@5  81.25 ( 84.24)\n","Epoch: [0][ 749/1485]\tTime  0.013 ( 0.017)\tData  0.001 ( 0.002)\tLoss 1.3903e+00 (1.8208e+00)\tAcc@1  46.88 ( 34.16)\tAcc@5  93.75 ( 84.64)\n","Epoch: [0][ 799/1485]\tTime  0.014 ( 0.017)\tData  0.001 ( 0.002)\tLoss 1.4619e+00 (1.7975e+00)\tAcc@1  43.75 ( 34.96)\tAcc@5  90.62 ( 85.04)\n","Epoch: [0][ 849/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.002)\tLoss 9.7924e-01 (1.7763e+00)\tAcc@1  62.50 ( 35.64)\tAcc@5  96.88 ( 85.50)\n","Epoch: [0][ 899/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.002)\tLoss 1.3768e+00 (1.7604e+00)\tAcc@1  56.25 ( 36.20)\tAcc@5  90.62 ( 85.80)\n","Epoch: [0][ 949/1485]\tTime  0.012 ( 0.016)\tData  0.001 ( 0.002)\tLoss 1.4363e+00 (1.7435e+00)\tAcc@1  43.75 ( 36.81)\tAcc@5  93.75 ( 86.16)\n","Epoch: [0][ 999/1485]\tTime  0.016 ( 0.016)\tData  0.002 ( 0.002)\tLoss 1.6501e+00 (1.7286e+00)\tAcc@1  37.50 ( 37.29)\tAcc@5  93.75 ( 86.49)\n","Epoch: [0][1049/1485]\tTime  0.013 ( 0.016)\tData  0.002 ( 0.002)\tLoss 1.4941e+00 (1.7157e+00)\tAcc@1  40.62 ( 37.67)\tAcc@5  93.75 ( 86.76)\n","Epoch: [0][1099/1485]\tTime  0.012 ( 0.016)\tData  0.001 ( 0.002)\tLoss 1.3599e+00 (1.7010e+00)\tAcc@1  46.88 ( 38.20)\tAcc@5 100.00 ( 87.04)\n","Epoch: [0][1149/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.002)\tLoss 1.5318e+00 (1.6883e+00)\tAcc@1  56.25 ( 38.70)\tAcc@5  84.38 ( 87.26)\n","Epoch: [0][1199/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.3746e+00 (1.6731e+00)\tAcc@1  40.62 ( 39.28)\tAcc@5  96.88 ( 87.52)\n","Epoch: [0][1249/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.002)\tLoss 2.0206e+00 (1.6573e+00)\tAcc@1  50.00 ( 39.91)\tAcc@5  81.25 ( 87.74)\n","Epoch: [0][1299/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.4563e+00 (1.6444e+00)\tAcc@1  37.50 ( 40.33)\tAcc@5  90.62 ( 87.96)\n","Epoch: [0][1349/1485]\tTime  0.012 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.2230e+00 (1.6324e+00)\tAcc@1  43.75 ( 40.74)\tAcc@5  96.88 ( 88.18)\n","Epoch: [0][1399/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.3500e+00 (1.6206e+00)\tAcc@1  50.00 ( 41.18)\tAcc@5  96.88 ( 88.40)\n","Epoch: [0][1449/1485]\tTime  0.014 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.0440e+00 (1.6077e+00)\tAcc@1  59.38 ( 41.67)\tAcc@5  96.88 ( 88.62)\n","Testing on current experience 0 at epoch 0:\n"," @Testing * Acc@1 53.720 Acc@5 95.320 Loss 1.270617094039917\n","Epoch: [1][  49/1485]\tTime  0.013 ( 0.023)\tData  0.001 ( 0.010)\tLoss 8.8563e-01 (1.1827e+00)\tAcc@1  68.75 ( 58.06)\tAcc@5 100.00 ( 96.12)\n","Epoch: [1][  99/1485]\tTime  0.013 ( 0.018)\tData  0.001 ( 0.006)\tLoss 1.3101e+00 (1.1843e+00)\tAcc@1  59.38 ( 57.28)\tAcc@5  93.75 ( 95.56)\n","Epoch: [1][ 149/1485]\tTime  0.013 ( 0.017)\tData  0.002 ( 0.004)\tLoss 1.0093e+00 (1.1881e+00)\tAcc@1  59.38 ( 57.23)\tAcc@5  96.88 ( 95.33)\n","Epoch: [1][ 199/1485]\tTime  0.013 ( 0.016)\tData  0.002 ( 0.004)\tLoss 1.1713e+00 (1.1891e+00)\tAcc@1  50.00 ( 57.11)\tAcc@5  96.88 ( 95.38)\n","Epoch: [1][ 249/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 1.2692e+00 (1.1943e+00)\tAcc@1  50.00 ( 57.31)\tAcc@5  96.88 ( 95.24)\n","Epoch: [1][ 299/1485]\tTime  0.014 ( 0.015)\tData  0.002 ( 0.003)\tLoss 8.0098e-01 (1.1870e+00)\tAcc@1  71.88 ( 57.65)\tAcc@5 100.00 ( 95.29)\n","Epoch: [1][ 349/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.2845e+00 (1.1818e+00)\tAcc@1  53.12 ( 57.81)\tAcc@5  93.75 ( 95.25)\n","Epoch: [1][ 399/1485]\tTime  0.020 ( 0.014)\tData  0.004 ( 0.003)\tLoss 9.9675e-01 (1.1711e+00)\tAcc@1  71.88 ( 58.19)\tAcc@5  96.88 ( 95.37)\n","Epoch: [1][ 449/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 9.2276e-01 (1.1628e+00)\tAcc@1  68.75 ( 58.39)\tAcc@5 100.00 ( 95.40)\n","Epoch: [1][ 499/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.1378e+00 (1.1544e+00)\tAcc@1  65.62 ( 58.63)\tAcc@5  84.38 ( 95.44)\n","Epoch: [1][ 549/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.0180e+00 (1.1479e+00)\tAcc@1  65.62 ( 58.93)\tAcc@5  93.75 ( 95.57)\n","Epoch: [1][ 599/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.1931e+00 (1.1365e+00)\tAcc@1  65.62 ( 59.32)\tAcc@5  93.75 ( 95.69)\n","Epoch: [1][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.0834e-01 (1.1294e+00)\tAcc@1  62.50 ( 59.46)\tAcc@5 100.00 ( 95.74)\n","Epoch: [1][ 699/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.8831e-01 (1.1251e+00)\tAcc@1  65.62 ( 59.63)\tAcc@5  96.88 ( 95.80)\n","Epoch: [1][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.2638e+00 (1.1210e+00)\tAcc@1  56.25 ( 59.79)\tAcc@5  93.75 ( 95.82)\n","Epoch: [1][ 799/1485]\tTime  0.020 ( 0.014)\tData  0.007 ( 0.002)\tLoss 1.0200e+00 (1.1135e+00)\tAcc@1  59.38 ( 60.02)\tAcc@5  93.75 ( 95.86)\n","Epoch: [1][ 849/1485]\tTime  0.014 ( 0.014)\tData  0.003 ( 0.002)\tLoss 7.7443e-01 (1.1083e+00)\tAcc@1  68.75 ( 60.17)\tAcc@5 100.00 ( 95.95)\n","Epoch: [1][ 899/1485]\tTime  0.020 ( 0.014)\tData  0.004 ( 0.002)\tLoss 1.0685e+00 (1.1015e+00)\tAcc@1  56.25 ( 60.47)\tAcc@5  96.88 ( 95.99)\n","Epoch: [1][ 949/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 9.3804e-01 (1.0959e+00)\tAcc@1  56.25 ( 60.71)\tAcc@5 100.00 ( 96.02)\n","Epoch: [1][ 999/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.0091e+00 (1.0903e+00)\tAcc@1  68.75 ( 61.01)\tAcc@5  93.75 ( 96.07)\n","Epoch: [1][1049/1485]\tTime  0.012 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.8093e-01 (1.0858e+00)\tAcc@1  62.50 ( 61.14)\tAcc@5 100.00 ( 96.09)\n","Epoch: [1][1099/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.2957e-01 (1.0792e+00)\tAcc@1  75.00 ( 61.45)\tAcc@5 100.00 ( 96.16)\n","Epoch: [1][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.0369e+00 (1.0756e+00)\tAcc@1  53.12 ( 61.54)\tAcc@5 100.00 ( 96.19)\n","Epoch: [1][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.4651e-01 (1.0719e+00)\tAcc@1  59.38 ( 61.67)\tAcc@5  96.88 ( 96.22)\n","Epoch: [1][1249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 7.9204e-01 (1.0671e+00)\tAcc@1  78.12 ( 61.89)\tAcc@5  96.88 ( 96.23)\n","Epoch: [1][1299/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.0091e-01 (1.0609e+00)\tAcc@1  81.25 ( 62.10)\tAcc@5 100.00 ( 96.28)\n","Epoch: [1][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.4975e-01 (1.0569e+00)\tAcc@1  65.62 ( 62.26)\tAcc@5 100.00 ( 96.31)\n","Epoch: [1][1399/1485]\tTime  0.017 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.2549e+00 (1.0508e+00)\tAcc@1  59.38 ( 62.43)\tAcc@5  96.88 ( 96.37)\n","Epoch: [1][1449/1485]\tTime  0.014 ( 0.014)\tData  0.003 ( 0.002)\tLoss 9.5548e-01 (1.0464e+00)\tAcc@1  56.25 ( 62.60)\tAcc@5  96.88 ( 96.40)\n","Testing on current experience 0 at epoch 1:\n"," @Testing * Acc@1 66.400 Acc@5 97.120 Loss 0.9367021169662476\n","Epoch: [2][  49/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.007)\tLoss 6.6201e-01 (8.0409e-01)\tAcc@1  81.25 ( 73.44)\tAcc@5  96.88 ( 97.94)\n","Epoch: [2][  99/1485]\tTime  0.018 ( 0.017)\tData  0.002 ( 0.005)\tLoss 8.2993e-01 (8.2263e-01)\tAcc@1  71.88 ( 72.56)\tAcc@5 100.00 ( 97.69)\n","Epoch: [2][ 149/1485]\tTime  0.015 ( 0.017)\tData  0.003 ( 0.004)\tLoss 7.8128e-01 (8.1535e-01)\tAcc@1  78.12 ( 72.75)\tAcc@5  96.88 ( 97.85)\n","Epoch: [2][ 199/1485]\tTime  0.017 ( 0.017)\tData  0.004 ( 0.004)\tLoss 9.0881e-01 (8.2230e-01)\tAcc@1  71.88 ( 71.97)\tAcc@5  96.88 ( 98.02)\n","Epoch: [2][ 249/1485]\tTime  0.013 ( 0.017)\tData  0.002 ( 0.004)\tLoss 8.1723e-01 (8.1584e-01)\tAcc@1  65.62 ( 71.81)\tAcc@5 100.00 ( 98.06)\n","Epoch: [2][ 299/1485]\tTime  0.013 ( 0.016)\tData  0.002 ( 0.003)\tLoss 9.1874e-01 (8.1282e-01)\tAcc@1  78.12 ( 71.67)\tAcc@5  96.88 ( 98.11)\n","Epoch: [2][ 349/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.003)\tLoss 8.7831e-01 (8.0690e-01)\tAcc@1  68.75 ( 71.82)\tAcc@5 100.00 ( 98.13)\n","Epoch: [2][ 399/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 5.8249e-01 (8.0275e-01)\tAcc@1  78.12 ( 71.96)\tAcc@5 100.00 ( 98.16)\n","Epoch: [2][ 449/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 7.2069e-01 (8.0221e-01)\tAcc@1  81.25 ( 71.88)\tAcc@5  96.88 ( 98.11)\n","Epoch: [2][ 499/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.2127e+00 (8.0086e-01)\tAcc@1  62.50 ( 71.84)\tAcc@5  93.75 ( 98.14)\n","Epoch: [2][ 549/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 6.0001e-01 (8.0049e-01)\tAcc@1  84.38 ( 71.78)\tAcc@5 100.00 ( 98.14)\n","Epoch: [2][ 599/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 5.1268e-01 (7.9665e-01)\tAcc@1  78.12 ( 71.79)\tAcc@5 100.00 ( 98.19)\n","Epoch: [2][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.5951e-01 (7.9619e-01)\tAcc@1  68.75 ( 71.94)\tAcc@5 100.00 ( 98.17)\n","Epoch: [2][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 8.1840e-01 (7.9510e-01)\tAcc@1  65.62 ( 71.93)\tAcc@5 100.00 ( 98.17)\n","Epoch: [2][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 8.4162e-01 (7.9346e-01)\tAcc@1  68.75 ( 72.05)\tAcc@5  96.88 ( 98.13)\n","Epoch: [2][ 799/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 7.1521e-01 (7.9388e-01)\tAcc@1  87.50 ( 72.15)\tAcc@5  93.75 ( 98.08)\n","Epoch: [2][ 849/1485]\tTime  0.019 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.1057e+00 (7.9367e-01)\tAcc@1  62.50 ( 72.16)\tAcc@5  93.75 ( 98.09)\n","Epoch: [2][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 8.0915e-01 (7.9111e-01)\tAcc@1  78.12 ( 72.25)\tAcc@5  96.88 ( 98.10)\n","Epoch: [2][ 949/1485]\tTime  0.012 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.8519e-01 (7.8893e-01)\tAcc@1  68.75 ( 72.29)\tAcc@5  96.88 ( 98.10)\n","Epoch: [2][ 999/1485]\tTime  0.016 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.1656e+00 (7.8895e-01)\tAcc@1  65.62 ( 72.33)\tAcc@5 100.00 ( 98.08)\n","Epoch: [2][1049/1485]\tTime  0.015 ( 0.014)\tData  0.004 ( 0.002)\tLoss 7.1985e-01 (7.8778e-01)\tAcc@1  68.75 ( 72.47)\tAcc@5 100.00 ( 98.08)\n","Epoch: [2][1099/1485]\tTime  0.019 ( 0.014)\tData  0.002 ( 0.002)\tLoss 8.8579e-01 (7.8661e-01)\tAcc@1  68.75 ( 72.48)\tAcc@5  96.88 ( 98.09)\n","Epoch: [2][1149/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 5.3268e-01 (7.8393e-01)\tAcc@1  87.50 ( 72.59)\tAcc@5 100.00 ( 98.10)\n","Epoch: [2][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.5254e-01 (7.8189e-01)\tAcc@1  68.75 ( 72.70)\tAcc@5  96.88 ( 98.11)\n","Epoch: [2][1249/1485]\tTime  0.018 ( 0.014)\tData  0.002 ( 0.002)\tLoss 9.9005e-01 (7.7989e-01)\tAcc@1  71.88 ( 72.74)\tAcc@5  96.88 ( 98.13)\n","Epoch: [2][1299/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.1703e-01 (7.7848e-01)\tAcc@1  78.12 ( 72.80)\tAcc@5 100.00 ( 98.12)\n","Epoch: [2][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.2381e-01 (7.7848e-01)\tAcc@1  71.88 ( 72.82)\tAcc@5  96.88 ( 98.11)\n","Epoch: [2][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.2259e+00 (7.7721e-01)\tAcc@1  65.62 ( 72.85)\tAcc@5  90.62 ( 98.11)\n","Epoch: [2][1449/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.6461e-01 (7.7593e-01)\tAcc@1  84.38 ( 72.91)\tAcc@5 100.00 ( 98.13)\n","Testing on current experience 0 at epoch 2:\n"," @Testing * Acc@1 71.200 Acc@5 98.080 Loss 0.8211112301826478\n","Epoch: [3][  49/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.007)\tLoss 1.0966e+00 (6.0394e-01)\tAcc@1  65.62 ( 79.88)\tAcc@5  96.88 ( 99.06)\n","Epoch: [3][  99/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.004)\tLoss 5.3958e-01 (6.0440e-01)\tAcc@1  78.12 ( 78.88)\tAcc@5  96.88 ( 99.03)\n","Epoch: [3][ 149/1485]\tTime  0.014 ( 0.015)\tData  0.001 ( 0.003)\tLoss 6.7051e-01 (6.2130e-01)\tAcc@1  75.00 ( 78.17)\tAcc@5 100.00 ( 99.02)\n","Epoch: [3][ 199/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.003)\tLoss 6.3028e-01 (6.1757e-01)\tAcc@1  75.00 ( 78.31)\tAcc@5 100.00 ( 98.98)\n","Epoch: [3][ 249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.003)\tLoss 9.1985e-01 (6.1405e-01)\tAcc@1  65.62 ( 78.24)\tAcc@5  96.88 ( 98.98)\n","Epoch: [3][ 299/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 8.1050e-01 (6.2023e-01)\tAcc@1  71.88 ( 77.99)\tAcc@5  96.88 ( 98.89)\n","Epoch: [3][ 349/1485]\tTime  0.016 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.1670e-01 (6.1786e-01)\tAcc@1  81.25 ( 77.96)\tAcc@5  96.88 ( 98.94)\n","Epoch: [3][ 399/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.003)\tLoss 8.4037e-01 (6.1703e-01)\tAcc@1  68.75 ( 77.97)\tAcc@5  96.88 ( 99.01)\n","Epoch: [3][ 449/1485]\tTime  0.018 ( 0.015)\tData  0.003 ( 0.003)\tLoss 6.5253e-01 (6.2157e-01)\tAcc@1  71.88 ( 77.81)\tAcc@5 100.00 ( 98.92)\n","Epoch: [3][ 499/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 7.3534e-01 (6.2598e-01)\tAcc@1  59.38 ( 77.69)\tAcc@5  96.88 ( 98.89)\n","Epoch: [3][ 549/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.0625e+00 (6.2393e-01)\tAcc@1  62.50 ( 77.78)\tAcc@5  96.88 ( 98.87)\n","Epoch: [3][ 599/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 7.4389e-01 (6.2432e-01)\tAcc@1  78.12 ( 77.79)\tAcc@5  93.75 ( 98.89)\n","Epoch: [3][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.5773e-01 (6.2581e-01)\tAcc@1  71.88 ( 77.86)\tAcc@5 100.00 ( 98.88)\n","Epoch: [3][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.1988e-01 (6.2377e-01)\tAcc@1  90.62 ( 77.95)\tAcc@5 100.00 ( 98.88)\n","Epoch: [3][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.0246e+00 (6.2305e-01)\tAcc@1  65.62 ( 77.99)\tAcc@5 100.00 ( 98.84)\n","Epoch: [3][ 799/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.0606e-01 (6.2130e-01)\tAcc@1  84.38 ( 78.15)\tAcc@5  96.88 ( 98.85)\n","Epoch: [3][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.8834e-01 (6.2163e-01)\tAcc@1  84.38 ( 78.14)\tAcc@5 100.00 ( 98.83)\n","Epoch: [3][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.9973e-01 (6.2244e-01)\tAcc@1  81.25 ( 78.18)\tAcc@5 100.00 ( 98.83)\n","Epoch: [3][ 949/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.5492e-01 (6.1979e-01)\tAcc@1  87.50 ( 78.32)\tAcc@5 100.00 ( 98.83)\n","Epoch: [3][ 999/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.0841e-01 (6.1979e-01)\tAcc@1  65.62 ( 78.34)\tAcc@5 100.00 ( 98.83)\n","Epoch: [3][1049/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 7.1391e-01 (6.1688e-01)\tAcc@1  78.12 ( 78.42)\tAcc@5  96.88 ( 98.83)\n","Epoch: [3][1099/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.5957e-01 (6.1727e-01)\tAcc@1  90.62 ( 78.41)\tAcc@5 100.00 ( 98.84)\n","Epoch: [3][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.9127e-01 (6.1579e-01)\tAcc@1  78.12 ( 78.43)\tAcc@5 100.00 ( 98.85)\n","Epoch: [3][1199/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.2311e-01 (6.1438e-01)\tAcc@1  84.38 ( 78.50)\tAcc@5 100.00 ( 98.86)\n","Epoch: [3][1249/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.002)\tLoss 4.8819e-01 (6.1435e-01)\tAcc@1  81.25 ( 78.51)\tAcc@5 100.00 ( 98.87)\n","Epoch: [3][1299/1485]\tTime  0.014 ( 0.014)\tData  0.003 ( 0.002)\tLoss 3.8758e-01 (6.1367e-01)\tAcc@1  84.38 ( 78.52)\tAcc@5 100.00 ( 98.87)\n","Epoch: [3][1349/1485]\tTime  0.020 ( 0.014)\tData  0.003 ( 0.002)\tLoss 4.8146e-01 (6.1280e-01)\tAcc@1  84.38 ( 78.54)\tAcc@5 100.00 ( 98.86)\n","Epoch: [3][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.2236e-01 (6.1453e-01)\tAcc@1  71.88 ( 78.46)\tAcc@5  93.75 ( 98.84)\n","Epoch: [3][1449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.8689e-01 (6.1422e-01)\tAcc@1  78.12 ( 78.50)\tAcc@5 100.00 ( 98.84)\n","Testing on current experience 0 at epoch 3:\n"," @Testing * Acc@1 74.120 Acc@5 98.600 Loss 0.7264616066932679\n","Epoch: [4][  49/1485]\tTime  0.013 ( 0.019)\tData  0.002 ( 0.007)\tLoss 6.1248e-01 (4.7533e-01)\tAcc@1  81.25 ( 83.06)\tAcc@5 100.00 ( 99.50)\n","Epoch: [4][  99/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.004)\tLoss 4.9273e-01 (4.7527e-01)\tAcc@1  84.38 ( 83.06)\tAcc@5 100.00 ( 99.53)\n","Epoch: [4][ 149/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 4.6848e-01 (4.6613e-01)\tAcc@1  81.25 ( 83.71)\tAcc@5  96.88 ( 99.54)\n","Epoch: [4][ 199/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.003)\tLoss 5.4183e-01 (4.6832e-01)\tAcc@1  84.38 ( 83.67)\tAcc@5  96.88 ( 99.50)\n","Epoch: [4][ 249/1485]\tTime  0.017 ( 0.014)\tData  0.002 ( 0.003)\tLoss 4.2973e-01 (4.8218e-01)\tAcc@1  87.50 ( 83.08)\tAcc@5  96.88 ( 99.39)\n","Epoch: [4][ 299/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.1682e-01 (4.8268e-01)\tAcc@1  78.12 ( 83.15)\tAcc@5 100.00 ( 99.40)\n","Epoch: [4][ 349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.1461e-01 (4.8529e-01)\tAcc@1  84.38 ( 82.91)\tAcc@5 100.00 ( 99.39)\n","Epoch: [4][ 399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.0003e-01 (4.8008e-01)\tAcc@1  93.75 ( 83.10)\tAcc@5 100.00 ( 99.38)\n","Epoch: [4][ 449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.7929e-01 (4.7891e-01)\tAcc@1  87.50 ( 83.21)\tAcc@5 100.00 ( 99.37)\n","Epoch: [4][ 499/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.0619e+00 (4.7771e-01)\tAcc@1  65.62 ( 83.25)\tAcc@5 100.00 ( 99.39)\n","Epoch: [4][ 549/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.4503e-01 (4.7562e-01)\tAcc@1  75.00 ( 83.23)\tAcc@5 100.00 ( 99.38)\n","Epoch: [4][ 599/1485]\tTime  0.015 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.5940e-01 (4.7929e-01)\tAcc@1  93.75 ( 83.19)\tAcc@5 100.00 ( 99.37)\n","Epoch: [4][ 649/1485]\tTime  0.019 ( 0.014)\tData  0.004 ( 0.002)\tLoss 6.3250e-01 (4.8178e-01)\tAcc@1  81.25 ( 83.13)\tAcc@5 100.00 ( 99.38)\n","Epoch: [4][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.6080e-01 (4.8370e-01)\tAcc@1  84.38 ( 83.08)\tAcc@5 100.00 ( 99.38)\n","Epoch: [4][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 5.7855e-01 (4.8293e-01)\tAcc@1  84.38 ( 83.16)\tAcc@5  96.88 ( 99.39)\n","Epoch: [4][ 799/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.7392e-01 (4.8277e-01)\tAcc@1  84.38 ( 83.12)\tAcc@5 100.00 ( 99.39)\n","Epoch: [4][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.1319e-01 (4.8304e-01)\tAcc@1  84.38 ( 83.12)\tAcc@5  96.88 ( 99.38)\n","Epoch: [4][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.1447e-01 (4.8508e-01)\tAcc@1  81.25 ( 83.02)\tAcc@5 100.00 ( 99.37)\n","Epoch: [4][ 949/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.3931e-01 (4.8478e-01)\tAcc@1  81.25 ( 83.06)\tAcc@5 100.00 ( 99.37)\n","Epoch: [4][ 999/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.1421e-01 (4.8554e-01)\tAcc@1  84.38 ( 83.07)\tAcc@5 100.00 ( 99.37)\n","Epoch: [4][1049/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.8794e-01 (4.8830e-01)\tAcc@1  90.62 ( 83.02)\tAcc@5 100.00 ( 99.34)\n","Epoch: [4][1099/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.9903e-01 (4.9000e-01)\tAcc@1  78.12 ( 82.94)\tAcc@5 100.00 ( 99.32)\n","Epoch: [4][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.9612e-01 (4.9060e-01)\tAcc@1  78.12 ( 82.95)\tAcc@5 100.00 ( 99.29)\n","Epoch: [4][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.4428e-01 (4.9079e-01)\tAcc@1  84.38 ( 82.93)\tAcc@5 100.00 ( 99.30)\n","Epoch: [4][1249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.2285e-01 (4.8965e-01)\tAcc@1  71.88 ( 82.98)\tAcc@5 100.00 ( 99.29)\n","Epoch: [4][1299/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.8509e-01 (4.8952e-01)\tAcc@1  87.50 ( 82.98)\tAcc@5 100.00 ( 99.29)\n","Epoch: [4][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.3956e-01 (4.9014e-01)\tAcc@1  78.12 ( 82.97)\tAcc@5  96.88 ( 99.28)\n","Epoch: [4][1399/1485]\tTime  0.018 ( 0.014)\tData  0.003 ( 0.002)\tLoss 5.7369e-01 (4.9215e-01)\tAcc@1  78.12 ( 82.91)\tAcc@5 100.00 ( 99.28)\n","Epoch: [4][1449/1485]\tTime  0.017 ( 0.014)\tData  0.004 ( 0.002)\tLoss 5.6256e-01 (4.9309e-01)\tAcc@1  81.25 ( 82.87)\tAcc@5 100.00 ( 99.27)\n","Testing on current experience 0 at epoch 4:\n"," @Testing * Acc@1 77.640 Acc@5 98.560 Loss 0.6453893349647521\n","Epoch: [5][  49/1485]\tTime  0.013 ( 0.022)\tData  0.001 ( 0.009)\tLoss 4.0582e-01 (3.5766e-01)\tAcc@1  90.62 ( 87.50)\tAcc@5 100.00 ( 99.56)\n","Epoch: [5][  99/1485]\tTime  0.013 ( 0.018)\tData  0.001 ( 0.005)\tLoss 6.2541e-01 (3.6604e-01)\tAcc@1  71.88 ( 86.84)\tAcc@5  96.88 ( 99.72)\n","Epoch: [5][ 149/1485]\tTime  0.014 ( 0.016)\tData  0.001 ( 0.004)\tLoss 2.9632e-01 (3.7217e-01)\tAcc@1  90.62 ( 86.71)\tAcc@5 100.00 ( 99.60)\n","Epoch: [5][ 199/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.003)\tLoss 3.2972e-01 (3.6704e-01)\tAcc@1  93.75 ( 87.03)\tAcc@5 100.00 ( 99.64)\n","Epoch: [5][ 249/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 2.6273e-01 (3.7061e-01)\tAcc@1  93.75 ( 87.00)\tAcc@5 100.00 ( 99.68)\n","Epoch: [5][ 299/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 2.0376e-01 (3.7639e-01)\tAcc@1  90.62 ( 86.82)\tAcc@5 100.00 ( 99.61)\n","Epoch: [5][ 349/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 2.3543e-01 (3.7830e-01)\tAcc@1  93.75 ( 86.67)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][ 399/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.8057e-01 (3.8026e-01)\tAcc@1  96.88 ( 86.63)\tAcc@5 100.00 ( 99.65)\n","Epoch: [5][ 449/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.6443e-01 (3.7579e-01)\tAcc@1  84.38 ( 86.78)\tAcc@5  96.88 ( 99.64)\n","Epoch: [5][ 499/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.4076e-01 (3.7372e-01)\tAcc@1  78.12 ( 86.83)\tAcc@5 100.00 ( 99.65)\n","Epoch: [5][ 549/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.2717e-01 (3.7874e-01)\tAcc@1  84.38 ( 86.74)\tAcc@5  93.75 ( 99.62)\n","Epoch: [5][ 599/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.2885e-01 (3.7694e-01)\tAcc@1  81.25 ( 86.78)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.1490e-01 (3.7838e-01)\tAcc@1  93.75 ( 86.69)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.0620e-01 (3.7768e-01)\tAcc@1  81.25 ( 86.71)\tAcc@5  96.88 ( 99.64)\n","Epoch: [5][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.7073e-01 (3.7876e-01)\tAcc@1  93.75 ( 86.65)\tAcc@5 100.00 ( 99.64)\n","Epoch: [5][ 799/1485]\tTime  0.016 ( 0.014)\tData  0.003 ( 0.002)\tLoss 3.9064e-01 (3.8284e-01)\tAcc@1  87.50 ( 86.45)\tAcc@5 100.00 ( 99.64)\n","Epoch: [5][ 849/1485]\tTime  0.021 ( 0.014)\tData  0.007 ( 0.002)\tLoss 4.3150e-01 (3.8347e-01)\tAcc@1  84.38 ( 86.44)\tAcc@5 100.00 ( 99.65)\n","Epoch: [5][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.7062e-01 (3.8470e-01)\tAcc@1  90.62 ( 86.42)\tAcc@5 100.00 ( 99.65)\n","Epoch: [5][ 949/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 5.0830e-01 (3.8591e-01)\tAcc@1  84.38 ( 86.37)\tAcc@5 100.00 ( 99.65)\n","Epoch: [5][ 999/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.7875e-01 (3.8460e-01)\tAcc@1  87.50 ( 86.39)\tAcc@5 100.00 ( 99.64)\n","Epoch: [5][1049/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.1447e-01 (3.8595e-01)\tAcc@1  96.88 ( 86.35)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1099/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.8603e-01 (3.8765e-01)\tAcc@1  93.75 ( 86.30)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.1000e-01 (3.8840e-01)\tAcc@1  84.38 ( 86.30)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.4648e-01 (3.9023e-01)\tAcc@1  81.25 ( 86.24)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.6892e-01 (3.9175e-01)\tAcc@1  87.50 ( 86.18)\tAcc@5 100.00 ( 99.62)\n","Epoch: [5][1299/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.1430e-01 (3.9150e-01)\tAcc@1  93.75 ( 86.19)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1349/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.7169e-01 (3.9104e-01)\tAcc@1  93.75 ( 86.20)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.6153e-01 (3.9252e-01)\tAcc@1  93.75 ( 86.17)\tAcc@5 100.00 ( 99.63)\n","Epoch: [5][1449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.8334e-01 (3.9261e-01)\tAcc@1  93.75 ( 86.17)\tAcc@5 100.00 ( 99.63)\n","Testing on current experience 0 at epoch 5:\n"," @Testing * Acc@1 78.600 Acc@5 98.640 Loss 0.6262456686973572\n","Epoch: [6][  49/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.007)\tLoss 2.7227e-01 (2.4242e-01)\tAcc@1  84.38 ( 91.25)\tAcc@5 100.00 ( 99.81)\n","Epoch: [6][  99/1485]\tTime  0.015 ( 0.017)\tData  0.003 ( 0.005)\tLoss 1.6099e-01 (2.6966e-01)\tAcc@1  93.75 ( 90.59)\tAcc@5 100.00 ( 99.81)\n","Epoch: [6][ 149/1485]\tTime  0.015 ( 0.017)\tData  0.003 ( 0.004)\tLoss 5.4836e-01 (2.7244e-01)\tAcc@1  87.50 ( 90.27)\tAcc@5 100.00 ( 99.79)\n","Epoch: [6][ 199/1485]\tTime  0.016 ( 0.017)\tData  0.001 ( 0.004)\tLoss 9.0173e-02 (2.6978e-01)\tAcc@1 100.00 ( 90.33)\tAcc@5 100.00 ( 99.78)\n","Epoch: [6][ 249/1485]\tTime  0.013 ( 0.016)\tData  0.002 ( 0.004)\tLoss 1.0790e-01 (2.7482e-01)\tAcc@1  93.75 ( 90.06)\tAcc@5 100.00 ( 99.79)\n","Epoch: [6][ 299/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.003)\tLoss 1.9169e-01 (2.7402e-01)\tAcc@1  93.75 ( 90.08)\tAcc@5 100.00 ( 99.80)\n","Epoch: [6][ 349/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.003)\tLoss 3.1814e-01 (2.7582e-01)\tAcc@1  84.38 ( 89.99)\tAcc@5 100.00 ( 99.81)\n","Epoch: [6][ 399/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 2.2437e-01 (2.7962e-01)\tAcc@1  93.75 ( 89.88)\tAcc@5 100.00 ( 99.80)\n","Epoch: [6][ 449/1485]\tTime  0.016 ( 0.015)\tData  0.002 ( 0.003)\tLoss 2.7757e-01 (2.8421e-01)\tAcc@1  93.75 ( 89.78)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 499/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 3.4895e-01 (2.8480e-01)\tAcc@1  87.50 ( 89.79)\tAcc@5 100.00 ( 99.79)\n","Epoch: [6][ 549/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.2789e-01 (2.8443e-01)\tAcc@1  93.75 ( 89.81)\tAcc@5 100.00 ( 99.81)\n","Epoch: [6][ 599/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.7213e-01 (2.8727e-01)\tAcc@1  87.50 ( 89.73)\tAcc@5 100.00 ( 99.80)\n","Epoch: [6][ 649/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 2.2005e-01 (2.9071e-01)\tAcc@1  90.62 ( 89.59)\tAcc@5 100.00 ( 99.78)\n","Epoch: [6][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.8644e-01 (2.9084e-01)\tAcc@1  96.88 ( 89.61)\tAcc@5 100.00 ( 99.76)\n","Epoch: [6][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.2817e-01 (2.9135e-01)\tAcc@1  87.50 ( 89.58)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 799/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.2867e-01 (2.9091e-01)\tAcc@1  87.50 ( 89.62)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.4870e-01 (2.9149e-01)\tAcc@1  78.12 ( 89.58)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 899/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.1212e-01 (2.9368e-01)\tAcc@1  84.38 ( 89.49)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 949/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.2703e-01 (2.9554e-01)\tAcc@1  81.25 ( 89.41)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][ 999/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.0370e-01 (2.9730e-01)\tAcc@1  84.38 ( 89.34)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][1049/1485]\tTime  0.016 ( 0.014)\tData  0.003 ( 0.002)\tLoss 8.1891e-02 (2.9673e-01)\tAcc@1 100.00 ( 89.33)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][1099/1485]\tTime  0.016 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.0398e-01 (2.9909e-01)\tAcc@1  87.50 ( 89.29)\tAcc@5 100.00 ( 99.76)\n","Epoch: [6][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.0641e-01 (2.9933e-01)\tAcc@1  84.38 ( 89.28)\tAcc@5 100.00 ( 99.76)\n","Epoch: [6][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.6021e-01 (3.0051e-01)\tAcc@1  81.25 ( 89.26)\tAcc@5 100.00 ( 99.75)\n","Epoch: [6][1249/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.6621e-01 (3.0262e-01)\tAcc@1  90.62 ( 89.23)\tAcc@5 100.00 ( 99.75)\n","Epoch: [6][1299/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 2.5226e-01 (3.0480e-01)\tAcc@1  90.62 ( 89.14)\tAcc@5 100.00 ( 99.75)\n","Epoch: [6][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.2749e-01 (3.0499e-01)\tAcc@1  93.75 ( 89.12)\tAcc@5 100.00 ( 99.76)\n","Epoch: [6][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.0666e-01 (3.0446e-01)\tAcc@1  84.38 ( 89.18)\tAcc@5 100.00 ( 99.77)\n","Epoch: [6][1449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.2389e-01 (3.0598e-01)\tAcc@1  93.75 ( 89.11)\tAcc@5 100.00 ( 99.77)\n","Testing on current experience 0 at epoch 6:\n"," @Testing * Acc@1 79.840 Acc@5 98.840 Loss 0.6563968218803405\n","Epoch: [7][  49/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.007)\tLoss 1.5588e-01 (2.0136e-01)\tAcc@1  96.88 ( 92.38)\tAcc@5 100.00 ( 99.75)\n","Epoch: [7][  99/1485]\tTime  0.018 ( 0.016)\tData  0.001 ( 0.004)\tLoss 1.4429e-01 (1.8766e-01)\tAcc@1  90.62 ( 93.66)\tAcc@5 100.00 ( 99.88)\n","Epoch: [7][ 149/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 9.5425e-02 (1.8922e-01)\tAcc@1 100.00 ( 93.48)\tAcc@5 100.00 ( 99.92)\n","Epoch: [7][ 199/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.2088e-01 (1.8640e-01)\tAcc@1  96.88 ( 93.53)\tAcc@5 100.00 ( 99.94)\n","Epoch: [7][ 249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.003)\tLoss 1.9942e-01 (1.8768e-01)\tAcc@1  93.75 ( 93.58)\tAcc@5 100.00 ( 99.94)\n","Epoch: [7][ 299/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.002)\tLoss 1.4222e-01 (1.8749e-01)\tAcc@1  96.88 ( 93.59)\tAcc@5 100.00 ( 99.92)\n","Epoch: [7][ 349/1485]\tTime  0.015 ( 0.015)\tData  0.001 ( 0.003)\tLoss 3.2178e-01 (1.8905e-01)\tAcc@1  81.25 ( 93.40)\tAcc@5 100.00 ( 99.93)\n","Epoch: [7][ 399/1485]\tTime  0.015 ( 0.015)\tData  0.003 ( 0.003)\tLoss 3.2296e-01 (1.9552e-01)\tAcc@1  87.50 ( 93.21)\tAcc@5 100.00 ( 99.93)\n","Epoch: [7][ 449/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 4.4446e-01 (1.9864e-01)\tAcc@1  81.25 ( 93.01)\tAcc@5 100.00 ( 99.94)\n","Epoch: [7][ 499/1485]\tTime  0.014 ( 0.015)\tData  0.002 ( 0.002)\tLoss 9.6460e-02 (2.0005e-01)\tAcc@1  96.88 ( 92.98)\tAcc@5 100.00 ( 99.92)\n","Epoch: [7][ 549/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.6849e-01 (2.0201e-01)\tAcc@1  96.88 ( 92.95)\tAcc@5 100.00 ( 99.91)\n","Epoch: [7][ 599/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 7.2702e-02 (2.0134e-01)\tAcc@1 100.00 ( 92.98)\tAcc@5 100.00 ( 99.91)\n","Epoch: [7][ 649/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 2.1755e-01 (2.0201e-01)\tAcc@1  93.75 ( 92.93)\tAcc@5 100.00 ( 99.91)\n","Epoch: [7][ 699/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 2.4335e-01 (2.0475e-01)\tAcc@1  90.62 ( 92.85)\tAcc@5 100.00 ( 99.90)\n","Epoch: [7][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.1137e-01 (2.0454e-01)\tAcc@1  87.50 ( 92.85)\tAcc@5 100.00 ( 99.90)\n","Epoch: [7][ 799/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.6660e-01 (2.0612e-01)\tAcc@1  90.62 ( 92.79)\tAcc@5 100.00 ( 99.90)\n","Epoch: [7][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.2657e-01 (2.0782e-01)\tAcc@1  90.62 ( 92.74)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.0004e-01 (2.0930e-01)\tAcc@1  96.88 ( 92.67)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][ 949/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.0110e-01 (2.1005e-01)\tAcc@1  96.88 ( 92.65)\tAcc@5 100.00 ( 99.88)\n","Epoch: [7][ 999/1485]\tTime  0.018 ( 0.014)\tData  0.002 ( 0.002)\tLoss 4.0106e-01 (2.1258e-01)\tAcc@1  87.50 ( 92.54)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1049/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.4623e-01 (2.1411e-01)\tAcc@1  96.88 ( 92.51)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1099/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.1723e-01 (2.1549e-01)\tAcc@1  96.88 ( 92.43)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1149/1485]\tTime  0.021 ( 0.014)\tData  0.004 ( 0.002)\tLoss 1.3509e-01 (2.1841e-01)\tAcc@1 100.00 ( 92.36)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1199/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.002)\tLoss 4.4021e-01 (2.1991e-01)\tAcc@1  84.38 ( 92.26)\tAcc@5  96.88 ( 99.88)\n","Epoch: [7][1249/1485]\tTime  0.019 ( 0.014)\tData  0.004 ( 0.002)\tLoss 2.8045e-01 (2.2117e-01)\tAcc@1  93.75 ( 92.23)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1299/1485]\tTime  0.019 ( 0.014)\tData  0.004 ( 0.002)\tLoss 3.9497e-01 (2.2274e-01)\tAcc@1  84.38 ( 92.14)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1349/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.1876e-01 (2.2430e-01)\tAcc@1  87.50 ( 92.09)\tAcc@5 100.00 ( 99.88)\n","Epoch: [7][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 9.7336e-02 (2.2405e-01)\tAcc@1  96.88 ( 92.11)\tAcc@5 100.00 ( 99.89)\n","Epoch: [7][1449/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.3577e-01 (2.2725e-01)\tAcc@1  84.38 ( 91.95)\tAcc@5 100.00 ( 99.88)\n","Testing on current experience 0 at epoch 7:\n"," @Testing * Acc@1 77.040 Acc@5 98.600 Loss 0.7520723799705505\n","Epoch: [8][  49/1485]\tTime  0.013 ( 0.019)\tData  0.001 ( 0.007)\tLoss 8.7246e-02 (1.3351e-01)\tAcc@1 100.00 ( 95.56)\tAcc@5 100.00 (100.00)\n","Epoch: [8][  99/1485]\tTime  0.014 ( 0.016)\tData  0.001 ( 0.004)\tLoss 1.0760e-01 (1.4128e-01)\tAcc@1  96.88 ( 95.31)\tAcc@5 100.00 ( 99.91)\n","Epoch: [8][ 149/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 7.7475e-02 (1.3156e-01)\tAcc@1  96.88 ( 95.40)\tAcc@5 100.00 ( 99.94)\n","Epoch: [8][ 199/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 9.2149e-02 (1.3812e-01)\tAcc@1 100.00 ( 95.08)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 249/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.1086e-01 (1.4017e-01)\tAcc@1  93.75 ( 95.01)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 299/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.8370e-01 (1.3920e-01)\tAcc@1  93.75 ( 95.00)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][ 349/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.5542e-01 (1.3839e-01)\tAcc@1  87.50 ( 95.07)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][ 399/1485]\tTime  0.019 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.4872e-01 (1.4099e-01)\tAcc@1  93.75 ( 94.97)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.3336e-01 (1.4420e-01)\tAcc@1  90.62 ( 94.93)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 499/1485]\tTime  0.016 ( 0.014)\tData  0.003 ( 0.002)\tLoss 2.0684e-01 (1.4452e-01)\tAcc@1  90.62 ( 94.93)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 549/1485]\tTime  0.016 ( 0.014)\tData  0.004 ( 0.002)\tLoss 1.8503e-01 (1.4644e-01)\tAcc@1  96.88 ( 94.90)\tAcc@5 100.00 ( 99.94)\n","Epoch: [8][ 599/1485]\tTime  0.019 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.3709e-02 (1.4608e-01)\tAcc@1  96.88 ( 94.89)\tAcc@5 100.00 ( 99.94)\n","Epoch: [8][ 649/1485]\tTime  0.014 ( 0.015)\tData  0.002 ( 0.002)\tLoss 1.5808e-01 (1.4753e-01)\tAcc@1  90.62 ( 94.79)\tAcc@5 100.00 ( 99.94)\n","Epoch: [8][ 699/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.1338e-01 (1.5033e-01)\tAcc@1  93.75 ( 94.67)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.0442e-01 (1.5298e-01)\tAcc@1  87.50 ( 94.57)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 799/1485]\tTime  0.016 ( 0.014)\tData  0.004 ( 0.002)\tLoss 7.3456e-02 (1.5430e-01)\tAcc@1 100.00 ( 94.51)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.7370e-02 (1.5535e-01)\tAcc@1 100.00 ( 94.50)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.8392e-02 (1.5729e-01)\tAcc@1 100.00 ( 94.43)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][ 949/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.2032e-01 (1.5847e-01)\tAcc@1  84.38 ( 94.37)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][ 999/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.1429e-01 (1.6054e-01)\tAcc@1  96.88 ( 94.28)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][1049/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.2154e-01 (1.6318e-01)\tAcc@1  96.88 ( 94.17)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][1099/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.2150e-01 (1.6408e-01)\tAcc@1  93.75 ( 94.12)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.0166e-01 (1.6476e-01)\tAcc@1  84.38 ( 94.10)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][1199/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.9127e-01 (1.6565e-01)\tAcc@1  87.50 ( 94.08)\tAcc@5 100.00 ( 99.96)\n","Epoch: [8][1249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.4547e-01 (1.6694e-01)\tAcc@1  84.38 ( 94.03)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][1299/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.4624e-01 (1.6862e-01)\tAcc@1  93.75 ( 93.99)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.9523e-01 (1.6951e-01)\tAcc@1  90.62 ( 93.97)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][1399/1485]\tTime  0.015 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.7997e-02 (1.6979e-01)\tAcc@1 100.00 ( 93.97)\tAcc@5 100.00 ( 99.95)\n","Epoch: [8][1449/1485]\tTime  0.015 ( 0.014)\tData  0.004 ( 0.002)\tLoss 1.2608e-01 (1.7063e-01)\tAcc@1  96.88 ( 93.94)\tAcc@5 100.00 ( 99.95)\n","Testing on current experience 0 at epoch 8:\n"," @Testing * Acc@1 79.880 Acc@5 98.720 Loss 0.7025143823623657\n","Epoch: [9][  49/1485]\tTime  0.013 ( 0.019)\tData  0.002 ( 0.007)\tLoss 1.3873e-01 (9.8683e-02)\tAcc@1  93.75 ( 96.75)\tAcc@5 100.00 (100.00)\n","Epoch: [9][  99/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.004)\tLoss 3.1516e-01 (9.8539e-02)\tAcc@1  90.62 ( 96.88)\tAcc@5 100.00 (100.00)\n","Epoch: [9][ 149/1485]\tTime  0.016 ( 0.016)\tData  0.004 ( 0.004)\tLoss 1.5709e-02 (9.3053e-02)\tAcc@1 100.00 ( 96.98)\tAcc@5 100.00 (100.00)\n","Epoch: [9][ 199/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 3.5294e-02 (9.3024e-02)\tAcc@1 100.00 ( 96.92)\tAcc@5 100.00 (100.00)\n","Epoch: [9][ 249/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 1.3783e-01 (9.1321e-02)\tAcc@1  96.88 ( 96.93)\tAcc@5 100.00 (100.00)\n","Epoch: [9][ 299/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 5.2528e-02 (9.4563e-02)\tAcc@1 100.00 ( 96.80)\tAcc@5 100.00 ( 99.99)\n","Epoch: [9][ 349/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 9.5471e-03 (9.5568e-02)\tAcc@1 100.00 ( 96.78)\tAcc@5 100.00 ( 99.99)\n","Epoch: [9][ 399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.1037e-02 (9.5210e-02)\tAcc@1 100.00 ( 96.83)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 449/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.4778e-01 (9.6231e-02)\tAcc@1  96.88 ( 96.74)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 499/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.9589e-02 (9.8531e-02)\tAcc@1  96.88 ( 96.68)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 549/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.1049e-01 (9.7829e-02)\tAcc@1  96.88 ( 96.68)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 599/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 4.1920e-02 (9.9133e-02)\tAcc@1 100.00 ( 96.60)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.6928e-02 (9.9875e-02)\tAcc@1 100.00 ( 96.58)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 699/1485]\tTime  0.020 ( 0.014)\tData  0.004 ( 0.002)\tLoss 5.3526e-02 (1.0147e-01)\tAcc@1 100.00 ( 96.54)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 749/1485]\tTime  0.016 ( 0.014)\tData  0.003 ( 0.002)\tLoss 1.3622e-02 (1.0249e-01)\tAcc@1 100.00 ( 96.54)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 799/1485]\tTime  0.018 ( 0.014)\tData  0.002 ( 0.002)\tLoss 2.7624e-02 (1.0367e-01)\tAcc@1 100.00 ( 96.47)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 849/1485]\tTime  0.014 ( 0.015)\tData  0.002 ( 0.002)\tLoss 7.2721e-02 (1.0445e-01)\tAcc@1  96.88 ( 96.43)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 899/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.9861e-01 (1.0466e-01)\tAcc@1  93.75 ( 96.43)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 949/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.2385e-02 (1.0531e-01)\tAcc@1  96.88 ( 96.39)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][ 999/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 2.1616e-01 (1.0761e-01)\tAcc@1  93.75 ( 96.29)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1049/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 2.5480e-01 (1.0964e-01)\tAcc@1  87.50 ( 96.20)\tAcc@5 100.00 ( 99.99)\n","Epoch: [9][1099/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 7.5019e-02 (1.1078e-01)\tAcc@1  93.75 ( 96.16)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1149/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.6923e-01 (1.1252e-01)\tAcc@1  96.88 ( 96.08)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1199/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.5484e-01 (1.1370e-01)\tAcc@1  93.75 ( 96.03)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1249/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 6.9790e-02 (1.1542e-01)\tAcc@1 100.00 ( 95.97)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1299/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.2656e-02 (1.1599e-01)\tAcc@1 100.00 ( 95.96)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1349/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.5334e-01 (1.1867e-01)\tAcc@1  93.75 ( 95.84)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1399/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.6023e-01 (1.1980e-01)\tAcc@1  93.75 ( 95.81)\tAcc@5 100.00 ( 99.98)\n","Epoch: [9][1449/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 6.5061e-02 (1.2131e-01)\tAcc@1  96.88 ( 95.77)\tAcc@5 100.00 ( 99.98)\n","Testing on current experience 0 at epoch 9:\n"," @Testing * Acc@1 80.200 Acc@5 98.680 Loss 0.7644826324462891\n","Epoch: [10][  49/1485]\tTime  0.015 ( 0.022)\tData  0.003 ( 0.008)\tLoss 1.2742e-01 (7.7385e-02)\tAcc@1  96.88 ( 97.19)\tAcc@5 100.00 (100.00)\n","Epoch: [10][  99/1485]\tTime  0.015 ( 0.019)\tData  0.003 ( 0.006)\tLoss 9.0168e-02 (7.4096e-02)\tAcc@1  96.88 ( 97.41)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 149/1485]\tTime  0.020 ( 0.018)\tData  0.003 ( 0.005)\tLoss 1.0719e-01 (7.0589e-02)\tAcc@1  93.75 ( 97.58)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 199/1485]\tTime  0.013 ( 0.017)\tData  0.001 ( 0.004)\tLoss 8.9888e-02 (7.0438e-02)\tAcc@1  96.88 ( 97.61)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 249/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.004)\tLoss 1.4523e-01 (7.0351e-02)\tAcc@1  90.62 ( 97.55)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 299/1485]\tTime  0.020 ( 0.016)\tData  0.002 ( 0.003)\tLoss 3.9225e-02 (6.9737e-02)\tAcc@1  96.88 ( 97.58)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 349/1485]\tTime  0.013 ( 0.016)\tData  0.001 ( 0.003)\tLoss 1.4086e-01 (7.1349e-02)\tAcc@1  93.75 ( 97.47)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 399/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 8.6265e-02 (7.0500e-02)\tAcc@1  96.88 ( 97.50)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 449/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.003)\tLoss 1.8250e-01 (7.2937e-02)\tAcc@1  93.75 ( 97.45)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 499/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.003)\tLoss 6.4637e-02 (7.4385e-02)\tAcc@1  96.88 ( 97.38)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 549/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 1.6608e-02 (7.6145e-02)\tAcc@1 100.00 ( 97.34)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 599/1485]\tTime  0.013 ( 0.015)\tData  0.002 ( 0.002)\tLoss 7.1039e-02 (7.7608e-02)\tAcc@1  96.88 ( 97.24)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 649/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.9377e-02 (7.9375e-02)\tAcc@1  96.88 ( 97.14)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 699/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 1.2482e-02 (7.9633e-02)\tAcc@1 100.00 ( 97.17)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 749/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 3.0285e-02 (8.2319e-02)\tAcc@1 100.00 ( 97.07)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 799/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.002)\tLoss 1.8325e-01 (8.5111e-02)\tAcc@1  90.62 ( 96.93)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 849/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 5.4378e-03 (8.6323e-02)\tAcc@1 100.00 ( 96.90)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 899/1485]\tTime  0.014 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.8319e-01 (8.8564e-02)\tAcc@1  96.88 ( 96.83)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 949/1485]\tTime  0.015 ( 0.014)\tData  0.003 ( 0.002)\tLoss 4.2841e-02 (8.9290e-02)\tAcc@1  96.88 ( 96.80)\tAcc@5 100.00 (100.00)\n","Epoch: [10][ 999/1485]\tTime  0.021 ( 0.014)\tData  0.004 ( 0.002)\tLoss 1.2654e-01 (9.0909e-02)\tAcc@1  96.88 ( 96.74)\tAcc@5 100.00 (100.00)\n","Epoch: [10][1049/1485]\tTime  0.013 ( 0.015)\tData  0.001 ( 0.002)\tLoss 3.4702e-02 (9.2014e-02)\tAcc@1 100.00 ( 96.68)\tAcc@5 100.00 (100.00)\n","Epoch: [10][1099/1485]\tTime  0.013 ( 0.014)\tData  0.001 ( 0.002)\tLoss 3.8051e-02 (9.4440e-02)\tAcc@1 100.00 ( 96.59)\tAcc@5 100.00 (100.00)\n","Epoch: [10][1149/1485]\tTime  0.013 ( 0.014)\tData  0.002 ( 0.002)\tLoss 1.0129e-01 (9.4890e-02)\tAcc@1  96.88 ( 96.58)\tAcc@5 100.00 (100.00)\n","Epoch: [10][1199/1485]\tTime  0.014 ( 0.014)\tData  0.001 ( 0.002)\tLoss 8.5114e-02 (9.6024e-02)\tAcc@1  96.88 ( 96.55)\tAcc@5 100.00 (100.00)\n","Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7e50d5d0f670>\n","Traceback (most recent call last):\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/utils/data/dataloader.py\", line 1477, in __del__\n","    self._shutdown_workers()\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/utils/data/dataloader.py\", line 1441, in _shutdown_workers\n","    w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)\n","  File \"/usr/local/envs/newenv/lib/python3.8/multiprocessing/process.py\", line 149, in join\n","    res = self._popen.wait(timeout)\n","  File \"/usr/local/envs/newenv/lib/python3.8/multiprocessing/popen_fork.py\", line 44, in wait\n","    if not wait([self.sentinel], timeout):\n","  File \"/usr/local/envs/newenv/lib/python3.8/multiprocessing/connection.py\", line 931, in wait\n","    ready = selector.select(timeout)\n","  File \"/usr/local/envs/newenv/lib/python3.8/selectors.py\", line 415, in select\n","    fd_event_list = self._selector.poll(timeout)\n","KeyboardInterrupt: \n","Traceback (most recent call last):\n","  File \"CODE-CL/main_5datasets.py\", line 112, in <module>\n","    cl_strategy.train(experience_train, experience_test, experience_zero=experience_test_zero)\n","  File \"/content/CODE-CL/cl_method/strategy.py\", line 139, in train\n","    outputs = self.model(inputs, labels, self.experience_id)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 1553, in _wrapped_call_impl\n","    return self._call_impl(*args, **kwargs)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 1562, in _call_impl\n","    return forward_call(*args, **kwargs)\n","  File \"/content/CODE-CL/models/nn_models/resnet18.py\", line 203, in forward\n","    out = torch.nn.AdaptiveAvgPool2d((2,2))(out)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 1553, in _wrapped_call_impl\n","    return self._call_impl(*args, **kwargs)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/modules/module.py\", line 1562, in _call_impl\n","    return forward_call(*args, **kwargs)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/modules/pooling.py\", line 1267, in forward\n","    return F.adaptive_avg_pool2d(input, self.output_size)\n","  File \"/usr/local/envs/newenv/lib/python3.8/site-packages/torch/nn/functional.py\", line 1260, in adaptive_avg_pool2d\n","    return torch._C._nn.adaptive_avg_pool2d(input, _output_size)\n","KeyboardInterrupt\n","^C\n"]}]}]}