在进行深度学习视觉分割代码的复现时，遇到多次如下的分布式运行代码

python -m torch.distributed.run --nproc_per_node=2 train_final_voc.py --data_folder [../VOC2012]

由于使用的单卡机器，该指令无法运行

尝试了许多方法之后，得到解决方案

在vscode的launch.json中做出如下修改:

{
    "configurations": [

        {

            "name": "Python: distribute",
            
            "type": "debugpy",
            
            "request": "launch",
            
            "program": "/home/anaconda3/envs/dupl/lib/python3.9/site-packages/torch/distributed/run.py",//可执行文件路径
            
            "console": "integratedTerminal",
            
            "args": [
            "--nproc_per_node=1",
            "train_final_voc.py",
            //"--model",
            "--data_folder", 
            "/home/DuPL/datasets/VOCdevkit/VOC2012"
            ],

            "cwd": "/home/DuPL",
            
            "env": {"CUDA_VISIBLE_DEVICES":"0"},
            
            }
            
            
    ]
}