vscode | python | remote-SSH | Debug 配置 + CLIP4Clip实验记录-编程知识

vscode | python | remote-SSH | Debug 配置 + CLIP4Clip实验记录

安装Extension

本地安装Remote-SSH、python
远程服务器上安装Python

难点：主机和远程服务器上安装Python扩展失败，可能是网络、代理等原因导致
解决方法：
- 主机在官方网站下载Python扩展：https://marketplace.visualstudio.com/items?itemName=ms-python.python
  主机直接放在vscode的bin目录下并且执行指令code --install-extension ms-python.python-2022.9.11681004.vsix即可
  （细节见https://www.hangge.com/blog/cache/detail_3191.html）
- 服务器的python扩展先使用scp从本地传上去，然后先要对其赋予执行权限，我一开始没有解决就是因为没有赋予权限，我直接chmod 777之后install from vsix即可（chmod +x应该也行）
  
  之后就看到环境了：
  
  现在可以选择自己在服务器的conda进行调试：
  
  价值一天半时间的”权限访问“难题被破解！此时不禁想要听一百遍越权访问加深印象…

之后就要run->add configuration->
launch.json如下：

{"version": "0.2","configurations": [{"name": "Python: Launch","type": "python","request": "launch","program": "${workspaceFolder}/CLIP4Clip/main_task_retrieval.py","args": ["--do_train","--num_thread_reader=0","--epochs=5","--batch_size=128","--n_display=50","--train_csv","${env:DATA_PATH}/MSRVTT_train.9k.csv","--val_csv","${env:DATA_PATH}/MSRVTT_JSFUSION_test.csv","--data_path","${env:DATA_PATH}/MSRVTT_data.json","--features_path","${env:DATA_PATH}/MSRVTT_Videos","--output_dir","ckpts/ckpt_msrvtt_retrieval_looseType","--lr","1e-4","--max_words","32","--max_frames","12","--batch_size_val","16","--datatype","msrvtt","--expand_msrvtt_sentences","--feature_framerate","1","--coef_lr","1e-3","--freeze_layer_num","0","--slice_framepos","2","--loose_type","--linear_patch","2d","--sim_header","meanP","--pretrained_clip_name","ViT-B/32"],"env": {"DATA_PATH": "/mnt/cloud_disk/wf/msrvtt_data"},"console": "integratedTerminal"}]
}

之后出现一个问题就是目前引用env变量在命令行中显示为空，目前不能用这个方式引用所以还得用笨方法，就是挨个复制粘贴。
并且python -m要变成module词段，module与program冲突，需要调整：

{"version": "0.2","configurations": [{"name": "Python: Launch","type": "python","request": "launch","module": "torch.distributed.launch","args": ["${workspaceFolder}/CLIP4Clip/main_task_retrieval.py","--do_train","--num_thread_reader=0","--epochs=5","--batch_size=128","--n_display=50","--train_csv","/mnt/cloud_disk/wf/msrvtt_data/MSRVTT_train.9k.csv","--val_csv","/mnt/cloud_disk/wf/msrvtt_data/MSRVTT_JSFUSION_test.csv","--data_path","/mnt/cloud_disk/wf/msrvtt_data/MSRVTT_data.json","--features_path","/mnt/cloud_disk/wf/msrvtt_data/MSRVTT_Videos","--output_dir","ckpts/ckpt_msrvtt_retrieval_looseType","--lr","1e-4","--max_words","32","--max_frames","12","--batch_size_val","16","--datatype","msrvtt","--expand_msrvtt_sentences","--feature_framerate","1","--coef_lr","1e-3","--freeze_layer_num","0","--slice_framepos","2","--loose_type","--linear_patch","2d","--sim_header","meanP","--pretrained_clip_name","ViT-B/32"],"console": "integratedTerminal"}]
}

之后设置断点调试之后发现这个问题：
在这里插入图片描述
挨个语句调试之后发现出现在某个加载模型的地方，模型的位置防止错误了，远程调试真的好用，可以清晰看到过程的调用栈call stack