{"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":"!nvidia-smi","metadata":{"papermill":{"duration":0.982001,"end_time":"2023-08-25T11:05:34.175754","exception":false,"start_time":"2023-08-25T11:05:33.193753","status":"completed"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!python --version","metadata":{"papermill":{"duration":0.936877,"end_time":"2023-08-25T11:05:35.115309","exception":false,"start_time":"2023-08-25T11:05:34.178432","status":"completed"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import os\nimport torch\nprint(\"Workers available: \", os.cpu_count())\nprint(\"GPUs available:\", torch.cuda.device_count())","metadata":{"papermill":{"duration":3.263806,"end_time":"2023-08-25T11:05:38.381784","exception":false,"start_time":"2023-08-25T11:05:35.117978","status":"completed"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!git clone https://github.com/krejiba/stylegan2-ada-pytorch-kaggle.git stylegan2ada","metadata":{"papermill":{"duration":1.698485,"end_time":"2023-08-25T11:05:40.083134","exception":false,"start_time":"2023-08-25T11:05:38.384649","status":"completed"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%bash\npython stylegan2ada/dataset_tool.py \\\n--source /kaggle/input/hubmap-hacking-the-human-vasculature \\\n--dest kidney.zip","metadata":{"papermill":{"duration":294.723314,"end_time":"2023-08-25T11:10:34.809771","exception":false,"start_time":"2023-08-25T11:05:40.086457","status":"completed"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%bash\npython stylegan2ada/train.py \\\n--outdir=/kaggle/working \\\n--data=/kaggle/working/kidney.zip \\\n--gpus=1 --workers=2 --snap=20 \\\n--kimg=160 --mirror=1 --augpipe=bgcfnc --cfg=auto \\\n--resume=\"https://nvlabs-fi-cdn.nvidia.com/stylegan2-ada-pytorch/pretrained/brecahad.pkl\"","metadata":{"papermill":{"duration":null,"end_time":null,"exception":false,"start_time":"2023-08-25T11:10:34.816003","status":"running"},"tags":[]},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"papermill":{"duration":null,"end_time":null,"exception":null,"start_time":null,"status":"pending"},"tags":[]},"execution_count":null,"outputs":[]}]}