{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\n\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-10-27T13:57:43.653143Z","iopub.execute_input":"2023-10-27T13:57:43.653745Z","iopub.status.idle":"2023-10-27T13:57:43.999241Z","shell.execute_reply.started":"2023-10-27T13:57:43.653718Z","shell.execute_reply":"2023-10-27T13:57:43.99848Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!nvidia-smi","metadata":{"execution":{"iopub.status.busy":"2023-10-27T13:57:44.000645Z","iopub.execute_input":"2023-10-27T13:57:44.001013Z","iopub.status.idle":"2023-10-27T13:57:45.041787Z","shell.execute_reply.started":"2023-10-27T13:57:44.000987Z","shell.execute_reply":"2023-10-27T13:57:45.04057Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!nvcc --version","metadata":{"execution":{"iopub.status.busy":"2023-10-27T13:57:45.043427Z","iopub.execute_input":"2023-10-27T13:57:45.043809Z","iopub.status.idle":"2023-10-27T13:57:46.071532Z","shell.execute_reply.started":"2023-10-27T13:57:45.043769Z","shell.execute_reply":"2023-10-27T13:57:46.07039Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip wheel 'mmcv' 'mmpretrain' 'lightning' 'timm' 'segmentation-models-pytorch' 'einops'  -w /kaggle/working --no-cache","metadata":{"execution":{"iopub.status.busy":"2023-10-27T13:57:46.073903Z","iopub.execute_input":"2023-10-27T13:57:46.074234Z","iopub.status.idle":"2023-10-27T13:58:23.837851Z","shell.execute_reply.started":"2023-10-27T13:57:46.074201Z","shell.execute_reply":"2023-10-27T13:58:23.836629Z"},"trusted":true},"execution_count":null,"outputs":[]}]}