dsh-wsl-gpufix

Unofficial community plugin — not affiliated with or endorsed by DeepSeek.

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A Cordis host-composition plugin for DSH that grants the WSL2 GPU device to the DSH Landlock sandbox, so torch.cuda.is_available() is True inside a normal (confined) agent bash session.

$ python -c "import os, torch; os.close(os.open('/dev/dxg', os.O_RDWR)); print(torch.cuda.is_available(), torch.cuda.get_device_name(0))"
True NVIDIA GeForce RTX 4060 Laptop GPU

Install in one command:

dsh plugin --profile <profile> add github:Jumqyc/dsh-wsl-gpufix

---

The problem

@deepseek-ai/dsh-sandbox-local builds its Landlock profile from a hard-coded list — /dev/null always, plus /tmp and the workspace root under workspace-write. Nothing else is writable, and there is no config field for extra paths. On WSL2 that blocks the GPU in two ways:

Symptom	Cause
nvidia-smi → "GPU access blocked by the operating system"; cuInit(0) → 100 (CUDA_ERROR_NO_DEVICE)	/dev/dxg cannot be opened O_RDWR
cuInit(0) → 304 (CUDA_ERROR_OPERATING_SYSTEM) even though nvidia-smi works	libcuda writes its thread name to /proc/self/task/<tid>/comm during cuInit and treats the denied write as fatal

The fix is two extra read-write grants: /dev/dxg and /proc. The background and the bisection that found them are in docs/why.md.

What it does

While the plugin row is mounted it wraps the public ctx.sandbox.confine() seam and inserts --rw <path> grants before the -- argv separator, only for the configured sandbox modes and only when the selected runner is the Landlock launcher. It does not patch any vendor file, disable Landlock, or touch the approval policy, and it restores the original method when the row unloads.

Requirements

• WSL2 with working GPU passthrough — nvidia-smi must already work in a normal (unsandboxed) WSL terminal.
• DSH with dsh-sandbox-local selecting its Landlock runner (bubblewrap is not installed). Tested with dsh 0.1.2-rc.1 on kernel 6.18 / WSL 2.7.13.
• A kernel with Landlock (landlock-run --probe prints landlock: fully enforced).

Layout

dsh-wsl-gpufix/
├── package.json            # DSH bundle metadata (dsh.bundle.patch)
├── cordis.patch.yml        # bundle patch: inserts the gpu-device-grant row
├── gpu-device-grant.mjs    # the plugin (package entry point)
├── gpu-device-grant.test.mjs
├── home/cordis.patch.yml   # template for the home-layer install (method C)
├── install.sh              # method C installer
├── docs/why.md             # root cause + the bisection that found it
├── SECURITY.md
├── README.md               # this file
└── README.zh.md            # 简体中文

Install

This is a standard DSH bundle plugin (dsh.bundle.patch in package.json). Pick one install method.

A. From GitHub (recommended, no clone)

dsh plugin --profile <profile> add github:Jumqyc/dsh-wsl-gpufix

dsh plugin forwards to pnpm and then registers the package in dsh.profile.bundles because it declares a bundle patch. Restart the profile, then verify.

B. From a local clone

git clone https://github.com/Jumqyc/dsh-wsl-gpufix.git
dsh plugin --profile <profile> add link:/absolute/path/to/dsh-wsl-gpufix

Use an absolute path, or link:. from inside the clone: relative specs are anchored to your invoking directory, not to the profile.

C. Home patch layer — every profile, no profile changes

bash install.sh

Writes $DSH_HOME/cordis.patch.yml with a row whose name is this clone's absolute file:// URL, so the grant applies to every profile without installing a package into any of them. Use this instead of A/B.

Uninstall

dsh plugin --profile <profile> remove dsh-wsl-gpufix   # methods A–B
# method C: delete the gpu-device-grant entry from $DSH_HOME/cordis.patch.yml

Install with an AI assistant

Paste this to any DSH agent:

Install the DSH plugin dsh-wsl-gpufix from github:Jumqyc/dsh-wsl-gpufix into profile <profile>:

1. Run: dsh plugin --profile <profile> add github:Jumqyc/dsh-wsl-gpufix
2. Restart the profile (or let patchReload: live reload the patch layer).
3. Check it composed: dsh --profile <profile> --dump-config | grep gpu-device-grant
4. Verify the GPU from a normal workspace-write bash session:
   python -c "import os, torch; os.close(os.open('/dev/dxg', os.O_RDWR)); print(torch.cuda.is_available(), torch.cuda.get_device_name(0))"
   Expected: True <GPU name>.
5. If CUDA still fails: cuInit error 100 means /dev/dxg is not granted;
   error 304 with working nvidia-smi means /proc is not granted. Both belong in
   the row's readWrite list.

Verify

From a normal agent bash session (default workspace-write mode):

python -c "import os, torch; os.close(os.open('/dev/dxg', os.O_RDWR)); print(torch.cuda.is_available(), torch.cuda.get_device_name(0))"

Expected: True <your GPU>.

Use os.open(..., os.O_RDWR), not open(path, 'r+b'): the buffered open seeks, and a character device is not seekable, so it raises UnsupportedOperation: File or stream is not seekable after the permission check succeeded — that is not a denial.

Config

Key	Default	Meaning
readWrite	['/dev/dxg', '/proc']	Absolute paths granted read+write inside the sandbox. Paths that do not exist at call time are skipped (the launcher fails closed on an unopenable grant root, so a missing device must never be granted).
modes	['workspace-write']	Sandbox modes the grant applies to. Add read-only to allow GPU use there; danger-full-access never confines and needs nothing.

Minimal config for users who only need NVML (nvidia-smi) — note CUDA will still fail with error 304:

config:
  readWrite: ['/dev/dxg']

Security

This plugin deliberately widens the sandbox by the paths you configure. Read SECURITY.md before deploying it anywhere shared. In short:

• It can only append --rw flags to the Landlock argv; it cannot disable the sandbox, alter approval policy, or run code from config.
• /proc is broader than a single file. It is required for CUDA initialization; DAC still limits writes under /proc to the process's own entries and root-owned sysctls, and the launcher keeps no_new_privs set.
• The grant applies only to the modes you list (default workspace-write).

Troubleshooting

Symptom	Check
GPU still blocked	Is the row composed? dsh --profile <profile> --dump-config | grep gpu-device-grant (bundle methods A–B) or $DSH_HOME/cordis.patch.yml (method C)
cuInit = 304, nvidia-smi works	/proc is not granted (or was filtered out)
Row logs "not the Landlock launcher"	bubblewrap is installed and won the runner chain; bwrap needs --dev-bind /dev/dxg /dev/dxg, a different profile change
dxgkio_query_adapter_info: Ioctl failed: -22 in dmesg	pre-existing WSL noise; also appears in a working unsandboxed terminal
GPU blocked in read-only mode	add read-only to modes

Compatibility

The plugin depends on LocalSandboxProvider.prototype.confine existing and on the Landlock launcher's --rw flag contract. If a future DSH release changes either, the row logs a warning and the sandbox keeps working without the GPU grant — it fails soft, never open. Re-run the verification command after upgrading DSH.

Tests

node --test

Hermetic: no GPU, no /dev/dxg, no sandbox required.

License

MIT