VSCode debugger configs for Nsight Visual Studio Code Edition

#VSCode CUDA debugger configs

c_cpp_properties.json

{
    "configurations": [
        {
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**"
            ],
            "defines": [],
            "compilerPath": "/usr/local/cuda/bin/nvcc",
            "cStandard": "gnu23",
            "cppStandard": "gnu++23",
            "intelliSenseMode": "linux-gcc-x64",
            "compilerArgs": [
                "-arch=sm_80"
            ]
        }
    ],
    "version": 4
}

launch.json

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "CUDA C++: Launch",
            "type": "cuda-gdb",
            "request": "launch",
            "program": "${fileDirname}/${fileBasenameNoExtension}",
            "preLaunchTask": "C/C++: nvcc build active file"
        }
    ]
}

tasks.json

{
    "tasks": [
        {
            "type": "cppbuild",
            "label": "C/C++: nvcc build active file",
            "command": "/usr/local/cuda/bin/nvcc",
            "args": [
                "-g",
                "-G",
                "-arch=sm_80",
                "${file}",
                "-o",
                "${fileDirname}/${fileBasenameNoExtension}"
            ],
            "options": {
                "cwd": "${fileDirname}"
            },
            "problemMatcher": [
                "$gcc"
            ],
            "group": {
                "kind": "build",
                "isDefault": true
            },
            "detail": "Task generated by Debugger."
        }
    ],
    "version": "2.0.0"
}

1. Install ms-vscode.cpptools and NVIDIA.nsight-vscode-edition
2. Place the .json files under your workspace ./vscode
3. Start debugging (on A100, note that "-arch=sm_80" flag is specified to enable WMMA)