使用vscode调试transformers源码

简要介绍如何使用vscode调试transformers源码 以源码的方式安装transformers（官方手册为Editable install）

优先参考官方手册

git clone github /huggingface/transformers.git cd transformers pip install -e . 以下展示transformers/examples/pytorch/image-classification样例的调试方法

阅读image-classification的README.md文件，可知需要下载数据集beans和ViT模型（默认为google/vit-base-patch16-224-in21k）,下图是我的数据集目录：

配置launch.json文件，这里面需要根据自己的路径修改一些变量，仅供参考:

{ // Use IntelliSense to learn about possible attributes. // Hover to view descriptions of existing attributes. // For more information, visit: go.microsoft /fwlink/?linkid=830387 "version": "0.2.0", "configurations": [ { "name": "Python Debugger: Current File", "type": "debugpy", "request": "launch", "program": "${file}", "console": "integratedTerminal" }, { "name": "run_image_classification.py", "type": "debugpy", "request": "launch", "program": "${workspaceFolder}/transformers/examples/pytorch/image-classification/run_image_classification.py", "args": [ "--train_dir", "transformers/examples/pytorch/image-classification/beans/data/train", "--validation_dir", "transformers/examples/pytorch/image-classification/beans/data/validation", "--output_dir", "./beans_outputs/", "--remove_unused_columns","False", "--label_column_name", "label", "--do_train", "--do_eval", "--num_train_epochs", "5", ], "console": "integratedTerminal", "justMyCode": false, "env": { "PYTHONPATH": "${workspaceFolder}" } }, ] } 进入调试环境即可跳转transformers源码阅读