如何使用vscode的launch.json来debug调试

1、创建一个launch.json文件

选择Python Debugger，再选择Python文件，创建处理如下

默认有下面五个参数

    "name": "Python Debugger: Current File",
    "type": "debugpy",
    "request": "launch",
    "program": "${file}",
    "console": "integratedTerminal"

修改“program”路径：使用“workspaceFolder”

开启调试：

调试结果：

一些复杂的调试可能会如下：

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python Debugger: Experiment Runner",
            //"type": "debugpy",
            "type": "python",
            "request": "launch",
            //"program": "${file}",
            "program": "${workspaceFolder}/driving/configs/_base_/models/B_efficientnetlite_H_roadclsdecoder.py",
            "console": "integratedTerminal",

            // new
            "cwd":"${workspaceFolder}",

            // 如果是false的话就会进到别的子程序里面，为了调试的直观，
            // 设置true比较好, true就是调试的范围都是你写的代码
            "justMyCode":true,  

            // 环境
            "env":{"CUDA_VISILBE_DEVICES":"0",
            // 开启断言assert
            "TORCH_USE_CUDA_DSA":"ON"},
            
            // 训练参数细节
            "args": [
                       "--task_name", "CoLA", 
                       "--do_train", "true",
                       "--do_eval", "true",
                       "--data_dir", "glue_data/CoLA",
                       "--vocab_file", "uncased_L-2_H-128_A-2/vocab.txt",
                       "--bert_config_file", "uncased_L-2_H-128_A-2/bert_config.json", 
                       "--init_checkpoint", "uncased_L-2_H-128_A-2/bert_model.ckpt", 
                       "--max_seq_length", "128" ,
                       "--train_batch_size", "32",
                       "--learning_rate", "2e-5" ,
                       "--num_train_epochs", "3.0" ,
                       "--output_dir", "tmp/CoLA_output"
                    ]      
        }
    ]
}

原文地址：https://blog.csdn.net/m0_51579041/article/details/142869632

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