unsloth/tests/studio/install/test_gpu_detection_followups.py
Daniel Han 70926822db
studio/setup.sh: guard empty CUDA arch detection in the source build (#5854) (#6481)
* studio/setup.sh: guard empty CUDA arch detection in the source build

PR #5826 hardened setup.sh for fresh CUDA toolkits, but the source build
still set -DCMAKE_CUDA_ARCHITECTURES only when nvidia-smi reported a
compute capability. When that query returns nothing the build proceeded
with no explicit arch list, so llama.cpp built PTX only. On a driver older
than the toolkit that binary fails at runtime with "the provided PTX was
compiled with an unsupported toolchain" - the build succeeds, so neither
the build-time check nor the CPU fallback caught it (issue #5854).

Resolve the arch list before committing to a CUDA build. A new pure helper
_resolve_cuda_archs parses and de-duplicates the nvidia-smi compute_cap
output and honors an explicit UNSLOTH_LLAMA_CUDA_ARCHS override. When the
result is empty, build CPU llama.cpp instead of a PTX-only binary, with a
clear message pointing at the override - so the user still ends up with a
working llama-server. The override also lets advanced users force a native
build on hosts where nvidia-smi cannot report compute_cap.

No behavior change when an arch is detected: -DGGML_CUDA=ON plus the arch,
CUDA flags and NVCC_PREPEND_FLAGS are assembled exactly as before.

Adds tests/sh/test_resolve_cuda_archs.sh (single/multi/dedup/empty/garbage/
whitespace/override cases), wired into tests/run_all.sh and the
studio-backend-ci.yml shell-test loop.

* studio/setup.sh: resolve nvidia-smi via /usr/bin fallback for arch detection

Addresses review feedback on the empty-CUDA-arch guard: _setup_has_usable_nvidia_gpu
classifies a host as NVIDIA-usable using nvidia-smi on PATH OR /usr/bin/nvidia-smi,
but the new arch detection probed only `command -v nvidia-smi`. On a GPU host where
nvidia-smi is off PATH (reachable only at /usr/bin), arch detection returned empty
and the new empty-arch branch dropped the build to CPU, losing CUDA. Mirror the same
PATH-then-/usr/bin resolution so those hosts still get a native CUDA build.

Also scope _resolve_cuda_archs locals with `local` (no behavior change; it already
runs under command substitution).

* tests: update compute_cap-probe assertion for $_smi_bin resolution

The nvidia-smi /usr/bin fallback parameterized the binary in the compute_cap
probe (_setup_run_smi "$_smi_bin" ...), so the literal-string assertion in
test_compute_cap_probe_timeout_wrapped no longer matched. Assert the probe is
preceded by _setup_run_smi (timeout-wrapped) instead, scanning all occurrences
so the comment mention is ignored. Same intent, binary-agnostic.

* tests: ruff-format the compute_cap probe assertion (pre-commit)

Collapse the backslash-continued assert onto one line and normalize slice
spacing so the ruff-format pre-commit hook (0.6.9) is satisfied. Formatting
only; no behavior change.

* Tighten code comments (no logic change)

* studio(windows): build CPU when CUDA arch is undetectable (#5854)

The Windows source build added -DGGML_CUDA=ON unconditionally but only set
-DCMAKE_CUDA_ARCHITECTURES when $CudaArch was detected. With no detectable
compute capability that produced a PTX-only binary, the same hole the Linux
fix closed. Build CPU llama.cpp in that case, and honor UNSLOTH_LLAMA_CUDA_ARCHS
to force a CUDA build, matching setup.sh. Detected-arch builds are unchanged.

* test: anchor NVCC_PREPEND_FLAGS scope check on the final CPU branch

The undetectable-arch CPU fallback adds an earlier -DGGML_CUDA=OFF, so the
ordering check now anchors on -DGGML_CUDA=ON and the last -DGGML_CUDA=OFF
instead of the first.

---------

Co-authored-by: Daniel Han <michaelhan2050@gmail.com>
2026-06-23 01:26:43 -07:00

461 lines
18 KiB
Python

"""GPU-detection follow-ups to PR 6174: NVIDIA precedence + /proc/driver/nvidia/gpus fallback ported to install_llama_prebuilt.py and setup.sh. Mocks/source-level only, no GPU."""
import importlib.util
import sys
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
PACKAGE_ROOT = Path(__file__).resolve().parents[3]
# Load studio/install_llama_prebuilt.py the same way the sibling suite does.
_MODULE_PATH = PACKAGE_ROOT / "studio" / "install_llama_prebuilt.py"
_SPEC = importlib.util.spec_from_file_location(
"studio_install_llama_prebuilt_followups", _MODULE_PATH
)
assert _SPEC is not None and _SPEC.loader is not None
prebuilt_mod = importlib.util.module_from_spec(_SPEC)
sys.modules[_SPEC.name] = prebuilt_mod
_SPEC.loader.exec_module(prebuilt_mod)
detect_host = prebuilt_mod.detect_host
_apply_host_overrides = prebuilt_mod._apply_host_overrides
SETUP_SH = PACKAGE_ROOT / "studio" / "setup.sh"
def _make_run_capture(rocminfo_stdout: str = ""):
"""Fake run_capture: rocminfo returns rocminfo_stdout, everything else empty."""
def _run_capture(cmd, *args, **kwargs):
exe = str(cmd[0]) if cmd else ""
result = MagicMock()
if exe.endswith("rocminfo"):
result.returncode = 0
result.stdout = rocminfo_stdout
else:
result.returncode = 1
result.stdout = ""
result.stderr = ""
return result
return _run_capture
def _run_detect_host(
*,
machine: str = "x86_64",
system: str = "Linux",
which_map: dict | None = None,
proc_dir_entries: list | None = None,
rocminfo_stdout: str = "",
env: dict | None = None,
):
"""Drive detect_host() against a fully synthetic host."""
which_map = which_map or {}
proc_dir_entries = proc_dir_entries if proc_dir_entries is not None else []
real_isdir = prebuilt_mod.os.path.isdir
real_listdir = prebuilt_mod.os.listdir
proc_path = "/proc/driver/nvidia/gpus"
def fake_isdir(p):
if str(p) == proc_path:
return bool(proc_dir_entries)
return real_isdir(p)
def fake_listdir(p):
if str(p) == proc_path:
if not proc_dir_entries:
raise OSError("no such dir")
return list(proc_dir_entries)
return real_listdir(p)
patches = [
patch.object(prebuilt_mod.platform, "system", return_value = system),
patch.object(prebuilt_mod.platform, "machine", return_value = machine),
patch.object(prebuilt_mod.platform, "mac_ver", return_value = ("", ("", "", ""), "")),
patch.object(prebuilt_mod.shutil, "which", side_effect = lambda n: which_map.get(n)),
patch.object(prebuilt_mod, "run_capture", side_effect = _make_run_capture(rocminfo_stdout)),
patch.object(prebuilt_mod.os.path, "isdir", side_effect = fake_isdir),
patch.object(prebuilt_mod.os, "listdir", side_effect = fake_listdir),
patch.object(prebuilt_mod.os, "access", return_value = False),
patch.dict(prebuilt_mod.os.environ, env or {}, clear = False),
]
for p in patches:
p.start()
try:
# Don't let the host's CUDA_VISIBLE_DEVICES leak in unless the scenario sets it.
if env is None or "CUDA_VISIBLE_DEVICES" not in env:
prebuilt_mod.os.environ.pop("CUDA_VISIBLE_DEVICES", None)
return detect_host()
finally:
for p in patches:
p.stop()
# ── install_llama_prebuilt.detect_host(): /proc NVIDIA fallback ──────────────
class TestDetectHostProcFallback:
def test_proc_fallback_marks_physical_nvidia_when_smi_absent(self):
"""No nvidia-smi, but /proc/driver/nvidia/gpus is populated -> NVIDIA."""
host = _run_detect_host(
which_map = {}, # nvidia-smi resolves to None
proc_dir_entries = ["0000:01:00.0"],
)
assert host.has_physical_nvidia is True
def test_proc_fallback_has_usable_nvidia_when_devices_visible(self):
"""Default CUDA_VISIBLE_DEVICES (unset) -> visible tokens non-empty -> usable."""
host = _run_detect_host(
which_map = {},
proc_dir_entries = ["0000:01:00.0"],
)
assert host.has_usable_nvidia is True
def test_proc_fallback_not_usable_when_devices_hidden(self):
"""CUDA_VISIBLE_DEVICES='' hides all GPUs -> physical yes, usable no."""
host = _run_detect_host(
which_map = {},
proc_dir_entries = ["0000:01:00.0"],
env = {"CUDA_VISIBLE_DEVICES": ""},
)
assert host.has_physical_nvidia is True
assert host.has_usable_nvidia is False
def test_empty_proc_dir_does_not_mark_nvidia(self):
"""A driver dir that exists but is empty must not assert a GPU."""
host = _run_detect_host(which_map = {}, proc_dir_entries = [])
assert host.has_physical_nvidia is False
def test_proc_fallback_is_linux_only(self):
"""The /proc fallback must not run on Windows (path is Linux-only)."""
host = _run_detect_host(
system = "Windows",
machine = "amd64",
which_map = {},
proc_dir_entries = ["0000:01:00.0"],
)
assert host.has_physical_nvidia is False
# ── install_llama_prebuilt.detect_host(): NVIDIA precedence over ROCm ────────
class TestDetectHostNvidiaPrecedence:
def test_rocm_probe_skipped_when_proc_nvidia_present(self):
"""rocminfo reports gfx1100, but a proc-detected NVIDIA GPU wins."""
host = _run_detect_host(
which_map = {"rocminfo": "/usr/bin/rocminfo"},
proc_dir_entries = ["0000:01:00.0"],
rocminfo_stdout = " Name: gfx1100\n",
)
assert host.has_usable_nvidia is True
assert host.has_rocm is False
def test_rocm_detected_when_no_nvidia(self):
"""With no NVIDIA signal at all, rocminfo gfx1100 -> has_rocm True."""
host = _run_detect_host(
which_map = {"rocminfo": "/usr/bin/rocminfo"},
proc_dir_entries = [],
rocminfo_stdout = " Name: gfx1100\n",
)
assert host.has_usable_nvidia is False
assert host.has_rocm is True
# ── _apply_host_overrides: forwarded --rocm-gfx / --has-rocm still win ───────
class TestOverridesStillWin:
def test_forwarded_gfx_forces_rocm_on_non_nvidia_host(self):
host = _run_detect_host(which_map = {}, proc_dir_entries = [])
assert host.has_rocm is False
overridden = _apply_host_overrides(host, override_rocm_gfx = "gfx1100")
assert overridden.has_rocm is True
assert overridden.rocm_gfx_target == "gfx1100"
def test_override_has_rocm_forces_rocm(self):
host = _run_detect_host(which_map = {}, proc_dir_entries = [])
overridden = _apply_host_overrides(host, override_has_rocm = True)
assert overridden.has_rocm is True
def test_force_cpu_drops_nvidia_attributes(self):
host = _run_detect_host(which_map = {}, proc_dir_entries = ["0000:01:00.0"])
assert host.has_usable_nvidia is True
overridden = _apply_host_overrides(host, force_cpu = True)
assert overridden.has_usable_nvidia is False
assert overridden.has_physical_nvidia is False
assert overridden.has_rocm is False
# ── setup.sh source-level guarantees ────────────────────────────────────────
class TestSetupShHardening:
@pytest.fixture(scope = "class")
def setup_src(self) -> str:
return SETUP_SH.read_text(encoding = "utf-8")
def test_has_usable_nvidia_helper_exists(self, setup_src):
assert "_setup_has_usable_nvidia_gpu()" in setup_src
def test_helper_uses_proc_fallback(self, setup_src):
start = setup_src.find("_setup_has_usable_nvidia_gpu()")
end = setup_src.find("\n}", start)
body = setup_src[start:end]
assert (
"/proc/driver/nvidia/gpus" in body
), "_setup_has_usable_nvidia_gpu must fall back to /proc/driver/nvidia/gpus"
def test_gpu_summary_uses_helper(self, setup_src):
assert "if _setup_has_usable_nvidia_gpu; then" in setup_src
def test_timeout_wrapper_exists(self, setup_src):
start = setup_src.find("_setup_run_smi()")
assert start >= 0, "_setup_run_smi timeout wrapper must exist"
end = setup_src.find("\n}", start)
body = setup_src[start:end]
assert "timeout 10" in body
assert "command -v timeout" in body
def test_cuda_source_build_gated_on_usable_nvidia(self, setup_src):
"""The nvcc source-build search must be gated on _setup_nvidia_usable."""
anchor = setup_src.find('NVCC_PATH=""\n')
assert anchor >= 0
window = setup_src[anchor : anchor + 700]
assert (
'if [ "$_setup_nvidia_usable" = true ]' in window
), "CUDA toolkit search must require a usable NVIDIA GPU, not just nvcc"
def test_nvidia_helper_honours_hidden_cvd(self, setup_src):
"""_setup_has_usable_nvidia_gpu must consult the hidden-CVD helper so CVD ""/-1 suppresses NVIDIA before AMD gating."""
assert "_setup_cvd_hides_nvidia()" in setup_src
start = setup_src.find("_setup_has_usable_nvidia_gpu() {")
end = setup_src.find("\n}", start)
body = setup_src[start:end]
assert "_setup_cvd_hides_nvidia" in body
def test_rocm_source_build_gated_on_amd_detected(self, setup_src):
"""The hipcc source-build search must be gated on _setup_amd_detected."""
anchor = setup_src.find('ROCM_HIPCC=""')
assert anchor >= 0
window = setup_src[anchor : anchor + 400]
assert (
'[ "$_setup_amd_detected" = true ]' in window
), "ROCm toolkit search must require a detected AMD GPU, not just hipcc"
def test_compute_cap_probe_timeout_wrapped(self, setup_src):
# nvidia-smi is now a variable ($_smi_bin), so check the wrapper precedes
# the probe rather than matching a literal. The string also appears in a
# comment, so scan all occurrences and accept if any is wrapped.
wrapped = False
start = 0
while True:
idx = setup_src.find("--query-gpu=compute_cap", start)
if idx < 0:
break
if "_setup_run_smi" in setup_src[max(0, idx - 80) : idx]:
wrapped = True
break
start = idx + 1
assert wrapped, "compute_cap probe must be wrapped in _setup_run_smi (timeout-bounded)"
def test_driver_version_probe_timeout_wrapped(self, setup_src):
start = setup_src.find("_cuda_driver_max_version()")
end = setup_src.find("\n}", start)
body = setup_src[start:end]
assert "_setup_run_smi nvidia-smi" in body
# TEST: install.sh -- UNSLOTH_TORCH_BACKEND classified on the final path segment
class TestBackendExportLeafClassification:
"""A mirror base path containing "rocm"/"gfx" must not mislabel a cu*/cpu index; classification uses TORCH_INDEX_URL's leaf only."""
@pytest.fixture(scope = "class")
def install_src(self) -> str:
return (PACKAGE_ROOT / "install.sh").read_text(encoding = "utf-8")
def test_export_block_uses_leaf(self, install_src):
anchor = install_src.find("_torch_index_leaf=")
assert anchor >= 0, "backend export must classify on the final path segment"
window = install_src[anchor : anchor + 500]
assert 'export UNSLOTH_TORCH_BACKEND="rocm"' in window
assert 'export UNSLOTH_TORCH_BACKEND="cpu"' in window
assert 'export UNSLOTH_TORCH_BACKEND="cuda"' in window
def test_leaf_classification_behaviour(self, tmp_path):
import subprocess as sp
script = tmp_path / "leaf.sh"
src = (PACKAGE_ROOT / "install.sh").read_text(encoding = "utf-8")
anchor = src.find("_torch_index_leaf=")
block = src[anchor : src.find("esac", anchor) + 4]
# Drive the extracted block with adversarial mirror URLs.
script.write_text(
"#!/bin/sh\n"
'TORCH_INDEX_URL="$1"\n' + block + "\n"
'printf "%s" "$UNSLOTH_TORCH_BACKEND"\n'
)
cases = {
"https://download.pytorch.org/whl/cu128": "cuda",
"https://download.pytorch.org/whl/cpu": "cpu",
"https://download.pytorch.org/whl/rocm6.4": "rocm",
"https://repo.radeon.com/rocm/manylinux/rocm-rel-7.2.1/": "rocm",
"https://repo.amd.com/rocm/whl/gfx1151/": "rocm",
"https://mirror.local/rocm-cache/cu128": "cuda",
"https://mirror.local/gfx-cache/cpu": "cpu",
}
for url, expected in cases.items():
out = sp.run(
["sh", str(script), url], capture_output = True, text = True, timeout = 30
).stdout.strip()
assert out == expected, f"{url} classified as {out!r}, expected {expected!r}"
# TEST: CUDA_VISIBLE_DEVICES=""/-1 hides NVIDIA in every usable-GPU helper
_STACK_PATH = PACKAGE_ROOT / "studio" / "install_python_stack.py"
_STACK_SPEC = importlib.util.spec_from_file_location(
"studio_install_python_stack_followups", _STACK_PATH
)
assert _STACK_SPEC is not None and _STACK_SPEC.loader is not None
stack_mod = importlib.util.module_from_spec(_STACK_SPEC)
sys.modules[_STACK_SPEC.name] = stack_mod
_STACK_SPEC.loader.exec_module(stack_mod)
def _stack_nvidia_usable(cvd):
"""Drive _has_usable_nvidia_gpu with a mocked nvidia-smi that always reports a GPU; cvd=None unsets the env var."""
def fake_run(cmd, *args, **kwargs):
result = MagicMock()
result.returncode = 0
result.stdout = "GPU 0: NVIDIA Fake (UUID: GPU-x)\n"
return result
env = {} if cvd is None else {"CUDA_VISIBLE_DEVICES": cvd}
with (
patch.object(
stack_mod.shutil,
"which",
side_effect = lambda n: "/usr/bin/nvidia-smi" if n == "nvidia-smi" else None,
),
patch.object(stack_mod.subprocess, "run", side_effect = fake_run),
patch.dict(stack_mod.os.environ, env, clear = False),
):
if cvd is None:
stack_mod.os.environ.pop("CUDA_VISIBLE_DEVICES", None)
return stack_mod._has_usable_nvidia_gpu()
class TestHiddenCvdNotUsable:
"""CVD ""/-1 hides every NVIDIA device; all three _has_usable_nvidia_gpu impls must report not-usable so AMD/CPU routes run."""
def test_python_unset_cvd_is_usable(self):
assert _stack_nvidia_usable(None) is True
def test_python_empty_cvd_not_usable(self):
assert _stack_nvidia_usable("") is False
def test_python_minus_one_not_usable(self):
assert _stack_nvidia_usable("-1") is False
def test_python_padded_minus_one_not_usable(self):
assert _stack_nvidia_usable(" -1 ") is False
def test_python_explicit_device_is_usable(self):
assert _stack_nvidia_usable("0") is True
def test_python_device_list_is_usable(self):
assert _stack_nvidia_usable("0,1") is True
def test_hidden_nvidia_restores_rocm_detection(self):
"""Mixed host, NVIDIA hidden via CVD=-1: _has_rocm_gpu must pass the NVIDIA guard and return True (pre-fix it ignored CVD)."""
def fake_run(cmd, *args, **kwargs):
result = MagicMock()
result.returncode = 0
exe = str(cmd[0])
if exe.endswith("rocminfo"):
result.stdout = " Name: gfx1100\n"
else:
result.stdout = "GPU 0: NVIDIA Fake (UUID: GPU-x)\n"
return result
which_map = {
"rocminfo": "/usr/bin/rocminfo",
"nvidia-smi": "/usr/bin/nvidia-smi",
}
with (
patch.object(stack_mod.shutil, "which", side_effect = which_map.get),
patch.object(stack_mod.subprocess, "run", side_effect = fake_run),
patch.dict(stack_mod.os.environ, {"CUDA_VISIBLE_DEVICES": "-1"}, clear = False),
):
assert stack_mod._has_rocm_gpu() is True
@staticmethod
def _run_sh_helper(tmp_path, src: str, fn_names: list, cvd):
"""Extract shell functions, run the usable-GPU one against a fake nvidia-smi; return "usable"/"not_usable"."""
import os as _os
import subprocess as sp
blocks = []
for name in fn_names:
start = src.find(f"{name}() {{")
assert start >= 0, f"{name} missing"
end = src.find("\n}", start) + 2
blocks.append(src[start:end])
fake_bin = tmp_path / "bin"
fake_bin.mkdir(exist_ok = True)
smi = fake_bin / "nvidia-smi"
smi.write_text("#!/bin/sh\necho 'GPU 0: NVIDIA Fake (UUID: GPU-x)'\n")
smi.chmod(0o755)
script = tmp_path / "probe.sh"
script.write_text(
"#!/bin/sh\n" + "\n".join(blocks) + "\n"
f"if {fn_names[-1]}; then echo usable; else echo not_usable; fi\n"
)
env = dict(_os.environ)
env["PATH"] = f"{fake_bin}:{env['PATH']}"
if cvd is None:
env.pop("CUDA_VISIBLE_DEVICES", None)
else:
env["CUDA_VISIBLE_DEVICES"] = cvd
return sp.run(
["sh", str(script)], capture_output = True, text = True, timeout = 30, env = env
).stdout.strip()
@pytest.mark.parametrize(
"cvd, expected",
[(None, "usable"), ("", "not_usable"), ("-1", "not_usable"), ("0", "usable")],
)
def test_install_sh_helper_cvd(self, tmp_path, cvd, expected):
src = (PACKAGE_ROOT / "install.sh").read_text(encoding = "utf-8")
out = self._run_sh_helper(
tmp_path,
src,
["_run_bounded", "_cvd_hides_nvidia", "_has_usable_nvidia_gpu"],
cvd,
)
assert out == expected
@pytest.mark.parametrize(
"cvd, expected",
[(None, "usable"), ("", "not_usable"), ("-1", "not_usable"), ("0", "usable")],
)
def test_setup_sh_helper_cvd(self, tmp_path, cvd, expected):
src = SETUP_SH.read_text(encoding = "utf-8")
out = self._run_sh_helper(
tmp_path,
src,
["_setup_run_smi", "_setup_cvd_hides_nvidia", "_setup_has_usable_nvidia_gpu"],
cvd,
)
assert out == expected