I'm researching self-supervised machine learning code. And I have wanted to debug the code with python debugger not pdb.set_trace(). This is python command for ubuntu terminal. python -m torch.distributed.launch --nproc_per_node=1 main_swav.py \ --data_path /dataset/imagenet/train \ --epochs 400 \ --base_lr 0.6 \ --final_lr 0.0006 \ --warmup_epochs 0 \ --batch_size 8 \ --size_crops 224 96 \ --nmb_crops 2 6 \ --min_scale_crops 0.14 0.05 \ --max_scale_crops 1. 0.14 \ --use_fp16 true \ --freeze_prototypes_niters 5005 \ --queue_length 380 \ --epoch_queue_starts 15\ --workers 10 In order to debug the code with VScode, I tried to revise launch.json like below as referring stackoverflow question { "version": "0.2.0", "configurations": [ { "name": "Python: Current File", "type": "python", "module": "torch.distributed.launch --nproc_per_node=1 main_swav.py", "request": "launch", "console": "integratedTerminal", "args": ["--data_path", "/dataset/imagenet/train"] } ] } I knew this would not work... Could you give me some advice? Continue reading...
