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