Round-2 of the 12-persona reviewer.py pass found 17 issues. Address the
P1s + the regression-class P2s in this commit; the remaining nits are
left for a follow-up cleanup pass.
1. unsloth/_gpu_init.py: the `NVIDIA_VISIBLE_DEVICES in os.environ` check
triggered for every NVIDIA-runtime container including `--gpus all`
(NVIDIA_VISIBLE_DEVICES=all is the default). Gate strictly on a
non-special device list. Also drop the precondition that the env var
was absent: if the user already pinned TORCHINDUCTOR_COMPILE_THREADS=1
we should still plant the UNSLOTH_FORCE_SINGLE_COMPILE_WORKER sentinel
so the zoo-side patch knows to preserve the forcing.
2. unsloth/_gpu_init.py: after the post-`import unsloth_zoo` reassertion,
monkey-patch `unsloth_zoo.temporary_patches.common.determine_compile_threads`
to return 1, so any later `torch.compile` call that rebuilds the
options dict still sees the single-worker forcing even if a downstream
patch_torch_compile pops the env var again.
3. docker/Dockerfile: torchaudio==2.11.0 mismatched the torch==2.10.0
release pairing; pin to 2.10.0 so the ABI is correct and the audio
stack matches torch/cu128.
4. docker/Dockerfile: drop `12.1+PTX` from TORCH_CUDA_ARCH_LIST. The
cu128 toolkit compiler does not know about compute_121; the trailing
PTX entry forced nvcc to emit a `sm_121` gencode that breaks any
in-container source builds.
5. docker/smoke_test.py: the device-capability floor said `cap[0] < 8`,
rejecting Turing (sm_75) while the Dockerfile + entrypoint advertise
sm_75 as supported. Lower the smoke floor to sm_75 and print a hint
that bf16 is not available on Turing.
6. docker/run.sh: `-it` is unconditional; CI / non-TTY invocations died
with "the input device is not a TTY". Probe `[ -t 0 ] && [ -t 1 ]`
first. Also remove `set -x` which echoed the forwarded HF_TOKEN /
WANDB_API_KEY / UNSLOTH_LICENSE values to stdout.
7. docker/test_locally.sh: `-e HF_TOKEN="${HF_TOKEN:-}"` either pasted
the secret verbatim into the process arg list or shadowed any
in-container value with an empty string. Forward conditionally.
8. .github/workflows/docker-publish.yml: gate `latest` on default branch
AND on `unsloth_ref` not being overridden via workflow_dispatch.
Otherwise a maintainer testing a feature SHA from main could overwrite
`:latest` with non-main source.
9. docker/Dockerfile.studio: add an `UNSLOTH_STUDIO_REF` build-arg so
the Studio companion image is pinned to a known unsloth ref instead
of cloning `main` whenever it builds.
install.sh --local installs unsloth into the Studio venv as an editable
package keyed to the just-cloned source tree. We were rm-rf'ing that
tree in the same RUN; the resulting `unsloth_cli` import then failed at
container start with `ModuleNotFoundError: No module named 'unsloth_cli'`.
Clone the source directly under UNSLOTH_STUDIO_HOME/src so it persists
in the image layer, and strip only .git to save ~120MB.
The base unsloth-blackwell image ships the `unsloth` CLI but refuses to
start `unsloth studio` until the dedicated Studio venv is laid down under
UNSLOTH_STUDIO_HOME by install.sh. Build it once and commit the result as
an opt-in companion tag (`:studio`) instead of bloating the base image.
Build:
docker buildx build --build-arg BASE_TAG=test \
-f docker/Dockerfile.studio -t unsloth-blackwell:studio docker/
Run:
docker run --rm --gpus '"device=0"' -p 8888:8888 unsloth-blackwell:studio
Open http://localhost:8888. Inference (llama.cpp CPU + GPU) and training
are both available. First-boot admin password lands in container logs
and at /opt/unsloth-studio/auth/.bootstrap_password.
