unsloth/tests/studio/install/test_probe_timeouts.py
Daniel Han 2db9fad4b5
Installer: GPU detection follow-ups after #6174 (poisoned venv repair, llama.cpp routing, probe bounds) (#6183)
* Installer: harden GPU detection follow-ups after #6174

Ports the NVIDIA-priority and /proc/driver/nvidia/gpus hardening from #6174
to the remaining pathways and adds recovery for already-poisoned venvs:

- install_python_stack.py: add _ensure_cuda_torch so 'unsloth studio update'
  force-reinstalls CUDA torch when the venv carries a ROCm build on an NVIDIA
  Linux host (the pre-#6174 poisoning signature). Honors UNSLOTH_TORCH_BACKEND,
  UNSLOTH_ROCM_TORCH_INSTALLED, and CUDA_VISIBLE_DEVICES=-1/'' opt-outs; never
  touches healthy CUDA, deliberate CPU wheels, macOS, or Windows.
- install_llama_prebuilt.py: detect_host gains the /proc NVIDIA fallback and
  skips ROCm probes when NVIDIA is usable; forwarded --rocm-gfx/--has-rocm
  overrides still win.
- setup.sh: GPU summary classifies NVIDIA first through a timeout-bounded
  probe with the /proc fallback; AMD probes are bounded and gain a KFD
  vendor_id 4098 fallback; the llama.cpp source build only selects
  GGML_CUDA/GGML_HIP when the matching GPU is actually detected.
- install.sh: bound both nvidia-smi calls with a 10s timeout (no behavior
  change when healthy or when the timeout binary is absent); classify the
  exported UNSLOTH_TORCH_BACKEND on the final index path segment so custom
  mirrors containing 'rocm'/'gfx' in their base path are not mislabeled.
- install.ps1 + setup.ps1: NVIDIA probes now require a real 'GPU N:' row from
  nvidia-smi -L under a 10s bound instead of bare exit code 0; later CUDA
  version and compute_cap queries are bounded too.

Tests: 3 new test files (50+ tests), suite at 788 passed.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Fix Resolve-CudaToolkit driver probe for extracted-function unit test

tests/studio/test_resolve_cuda_toolkit.ps1 extracts Resolve-CudaToolkit alone
into a child pwsh and stubs nvidia-smi with a .ps1 script. The bounded runner
is not in scope there (and ProcessStartInfo cannot dispatch .ps1 stubs), so
the DriverMaxCuda parse silently returned nothing and the major-mismatch
scenarios failed. Fall back to direct invocation when Invoke-NvidiaSmiBounded
is unavailable; production setup.ps1 always has it defined and keeps the
10s bound.

* Treat CUDA_VISIBLE_DEVICES empty or -1 as hidden in NVIDIA-first guards

The NVIDIA-first guards added in this branch only special-cased
CUDA_VISIBLE_DEVICES=-1 at two setup.sh gates and ignored the empty-string
form entirely, while the Python detector (install_llama_prebuilt.py)
already treats both as hidden. On a mixed AMD+NVIDIA host steered to the
AMD card via CUDA_VISIBLE_DEVICES, the guards suppressed the AMD probes,
so setup.sh fell to a CPU llama.cpp build and install.sh picked CUDA
wheels instead of ROCm.

Move the policy into the helpers so every consumer agrees:

- install.sh: new _cvd_hides_nvidia checked first in _has_usable_nvidia_gpu
- studio/setup.sh: same via _setup_cvd_hides_nvidia; the two ad-hoc
  CUDA_VISIBLE_DEVICES=-1 gate conditions are now redundant and removed
- studio/install_python_stack.py: _has_usable_nvidia_gpu returns False
  when CUDA_VISIBLE_DEVICES is set to  or -1 (whitespace tolerated)

Tests: 5 new sh scenarios (hidden via , -1, padded -1, visible device,
and mixed host with hidden NVIDIA restoring the ROCm route) plus a pytest
class covering all three implementations behaviourally.

Addresses the review comment on the NVIDIA-first setup.sh block.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Retrigger CI after PyPI 503 outage during the previous run

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2026-06-11 05:06:02 -07:00

202 lines
8.4 KiB
Python

"""Tests that NVIDIA probes in the installers are bounded by a timeout.
Covers audit findings 5 and 6: a wedged nvidia-smi must not hang the installer,
and the Windows probe must require a real GPU listing (not just exit code 0).
Source-level assertions verify the guards are present in install.sh / install.ps1
/ setup.ps1; one behavioral shell test confirms the bash helper actually returns
within the timeout when nvidia-smi hangs.
"""
import os
import shutil
import stat
import subprocess
import sys
import tempfile
from pathlib import Path
import pytest
PACKAGE_ROOT = Path(__file__).resolve().parents[3]
INSTALL_SH = PACKAGE_ROOT / "install.sh"
INSTALL_PS1 = PACKAGE_ROOT / "install.ps1"
SETUP_PS1 = PACKAGE_ROOT / "studio" / "setup.ps1"
def _extract_sh_function_body(source: str, name: str) -> str:
"""Return a shell function body from `source` by brace matching."""
needle = f"{name}() {{"
start = source.find(needle)
if start < 0:
return ""
depth = 0
i = start + len(needle) - 1
n = len(source)
while i < n:
ch = source[i]
if ch == "{":
depth += 1
elif ch == "}":
depth -= 1
if depth == 0:
return source[start : i + 1]
i += 1
return source[start:]
# ── install.sh: _run_bounded helper and its use at every nvidia-smi call ──
class TestInstallShBoundedProbe:
def _src(self) -> str:
return INSTALL_SH.read_text(encoding = "utf-8")
def test_run_bounded_helper_defined(self):
body = _extract_sh_function_body(self._src(), "_run_bounded")
assert body, "install.sh must define a _run_bounded helper"
assert (
"command -v timeout" in body
), "_run_bounded must check for the `timeout` binary before using it"
assert "timeout 10" in body, "_run_bounded must apply a 10s timeout"
# Must fall back to running unbounded when `timeout` is unavailable
# (e.g. macOS) so semantics are unchanged there.
assert (
"else" in body and '"$@"' in body
), "_run_bounded must run the command unbounded when `timeout` is absent"
def test_nvidia_smi_dash_l_probe_is_bounded(self):
body = _extract_sh_function_body(self._src(), "_has_usable_nvidia_gpu")
assert body, "install.sh must define _has_usable_nvidia_gpu"
# The -L probe must go through the bounded runner, not call nvidia-smi raw.
assert (
'_run_bounded "$_nvsmi" -L' in body
), "_has_usable_nvidia_gpu must run nvidia-smi -L through _run_bounded"
# The /proc fallback from PR 6174 must still be present.
assert "/proc/driver/nvidia" in body
def test_cuda_version_parse_is_bounded(self):
body = _extract_sh_function_body(self._src(), "get_torch_index_url")
assert body, "install.sh must define get_torch_index_url"
assert (
"_run_bounded" in body
), "get_torch_index_url CUDA-version parse must run nvidia-smi through _run_bounded"
# The locale must be forced without depending on `env` being on PATH.
assert "LC_ALL=C" in body
# _nvidia_detected gating from PR 6174 must remain.
assert "_nvidia_detected" in body
def test_no_unbounded_nvidia_smi_invocation_remains(self):
"""Every nvidia-smi *execution* in install.sh goes through _run_bounded.
`command -v nvidia-smi` and `-x /usr/bin/nvidia-smi` are resolution
checks, not executions, and are allowed. An execution looks like
`"$_nvsmi" ...` / `$_smi ...` / `nvidia-smi -L`.
"""
body_nvidia = _extract_sh_function_body(self._src(), "_has_usable_nvidia_gpu")
body_torch = _extract_sh_function_body(self._src(), "get_torch_index_url")
# In _has_usable_nvidia_gpu the only execution of $_nvsmi must be bounded.
assert '"$_nvsmi" -L' not in body_nvidia.replace(
'_run_bounded "$_nvsmi" -L', ""
), "found an unbounded nvidia-smi -L execution in _has_usable_nvidia_gpu"
# In get_torch_index_url the $_smi execution must be bounded.
assert (
"LC_ALL=C $_smi" not in body_torch
), "found an unbounded LC_ALL=C $_smi execution in get_torch_index_url"
# ── install.ps1 / setup.ps1: bounded, GPU-row-validated Windows probe ──
class TestPowerShellBoundedProbe:
@pytest.mark.parametrize("path", [INSTALL_PS1, SETUP_PS1])
def test_bounded_helper_present(self, path):
src = path.read_text(encoding = "utf-8")
assert (
"function Invoke-NvidiaSmiBounded" in src
), f"{path.name} must define Invoke-NvidiaSmiBounded"
assert (
"WaitForExit($TimeoutSec * 1000)" in src
), f"{path.name} bounded probe must use WaitForExit with a timeout"
# Kill + sentinel on timeout, mirroring Invoke-AmdSmiNoElevate.
assert (
"$proc.Kill()" in src and "124" in src
), f"{path.name} must kill nvidia-smi and signal a timeout exit code"
@pytest.mark.parametrize("path", [INSTALL_PS1, SETUP_PS1])
def test_probe_requires_gpu_row(self, path):
src = path.read_text(encoding = "utf-8")
assert (
"function Test-NvidiaSmiHasGpu" in src
), f"{path.name} must define Test-NvidiaSmiHasGpu"
assert "@('-L')" in src, f"{path.name} must probe nvidia-smi with -L"
assert (
"^GPU\\s+\\d+:" in src
), f"{path.name} must require a 'GPU <n>:' data row, not just exit code 0"
@pytest.mark.parametrize("path", [INSTALL_PS1, SETUP_PS1])
def test_detection_uses_validated_probe(self, path):
src = path.read_text(encoding = "utf-8")
# The exit-code-only pattern must be gone from the detection block.
assert (
"& $nvSmiCmd.Source *> $null" not in src
), f"{path.name} must not use the exit-code-only nvidia-smi probe"
assert (
"Test-NvidiaSmiHasGpu $nvSmiCmd.Source" in src
), f"{path.name} PATH probe must use Test-NvidiaSmiHasGpu"
assert (
"Test-NvidiaSmiHasGpu $p" in src
), f"{path.name} hardcoded-path fallback must use Test-NvidiaSmiHasGpu"
# ── Behavioral: a hanging nvidia-smi must not hang _has_usable_nvidia_gpu ──
def _have_timeout() -> bool:
return shutil.which("timeout") is not None
@pytest.mark.skipif(not _have_timeout(), reason = "`timeout` binary not available")
def test_has_usable_nvidia_gpu_returns_under_timeout():
"""Extract _run_bounded + _has_usable_nvidia_gpu, point them at a fake
nvidia-smi that sleeps 30s, and assert the probe returns well under that.
"""
src = INSTALL_SH.read_text(encoding = "utf-8")
helper = _extract_sh_function_body(src, "_run_bounded")
fn = _extract_sh_function_body(src, "_has_usable_nvidia_gpu")
assert helper and fn
workdir = tempfile.mkdtemp(prefix = "pr6174_timeout_", dir = str(PACKAGE_ROOT.parent))
try:
fake_dir = Path(workdir, "bin")
fake_dir.mkdir()
fake_smi = fake_dir / "nvidia-smi"
fake_smi.write_text("#!/bin/sh\nsleep 30\n")
fake_smi.chmod(fake_smi.stat().st_mode | stat.S_IEXEC | stat.S_IXGRP | stat.S_IXOTH)
# Build a minimal PATH that includes the fake nvidia-smi plus the real
# `timeout`/`awk`/`ls` it needs. Use the fake dir first so it wins.
real_bins = {Path(shutil.which(c)).parent for c in ("timeout", "awk", "ls", "sh")}
path_env = os.pathsep.join([str(fake_dir)] + [str(p) for p in real_bins])
# Force the /proc fallback off so the result depends only on the probe,
# and so a host with real NVIDIA does not mask the timeout behaviour.
script = (
f"{helper}\n{fn}\n"
"if _has_usable_nvidia_gpu; then echo DETECTED; else echo NONE; fi\n"
)
proc = subprocess.run(
["sh", "-c", script],
env = {"PATH": path_env},
stdout = subprocess.PIPE,
stderr = subprocess.DEVNULL,
text = True,
timeout = 20, # generous: the internal timeout is 10s, sleep is 30s
)
# The probe must have returned (not hung). On this CI host /proc/driver/
# nvidia/gpus is absent, so a timed-out smi yields NONE; on a real NVIDIA
# host the /proc fallback yields DETECTED. Either way it must not hang.
assert proc.stdout.strip() in {"NONE", "DETECTED"}
finally:
shutil.rmtree(workdir, ignore_errors = True)