* 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>
480 lines
19 KiB
Python
480 lines
19 KiB
Python
"""Tests for the GPU-detection follow-ups to PR 6174.
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PR 6174 made NVIDIA take precedence and added a /proc/driver/nvidia/gpus
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fallback in install.sh and studio/install_python_stack.py. These tests cover the
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same hardening ported to the llama.cpp prebuilt installer
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(studio/install_llama_prebuilt.py) and the Studio shell setup (studio/setup.sh):
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* detect_host() recognises NVIDIA via /proc/driver/nvidia/gpus when nvidia-smi
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is unavailable, and skips ROCm probing when NVIDIA is usable.
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* setup.sh routes through a timeout-bounded NVIDIA probe with a /proc fallback
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and only selects a CUDA/ROCm source build when the matching GPU is detected.
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All tests use mocks or source-level assertions -- no GPU, network, or real
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nvidia-smi/rocminfo invocation.
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"""
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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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"""Return a fake run_capture: rocminfo reports rocminfo_stdout, everything
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else (nvidia-smi, amd-smi) returns empty so only the patched probes matter."""
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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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# Ensure CUDA_VISIBLE_DEVICES does not leak in from the test host unless
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# the scenario sets it explicitly.
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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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The hidden-GPU policy (CUDA_VISIBLE_DEVICES=""/-1) lives inside
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_setup_has_usable_nvidia_gpu, so the gate itself only needs the flag.
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"""
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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 [ "$_setup_nvidia_usable" = true ]' in window
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), "CUDA toolkit search must require a usable NVIDIA GPU, not just nvcc"
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def test_nvidia_helper_honours_hidden_cvd(self, setup_src):
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"""_setup_has_usable_nvidia_gpu must consult the hidden-CVD helper so
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CUDA_VISIBLE_DEVICES=""/-1 suppresses NVIDIA before the AMD probes are
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gated (mixed hosts steered to the AMD card keep the ROCm route)."""
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assert "_setup_cvd_hides_nvidia()" in setup_src
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start = setup_src.find("_setup_has_usable_nvidia_gpu() {")
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end = setup_src.find("\n}", start)
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body = setup_src[start:end]
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assert "_setup_cvd_hides_nvidia" in body
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def test_rocm_source_build_gated_on_amd_detected(self, setup_src):
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"""The hipcc source-build search must be gated on _setup_amd_detected."""
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anchor = setup_src.find('ROCM_HIPCC=""')
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assert anchor >= 0
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window = setup_src[anchor : anchor + 400]
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assert (
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'[ "$_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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assert "_setup_run_smi nvidia-smi --query-gpu=compute_cap" in setup_src
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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 custom UNSLOTH_PYTORCH_MIRROR whose base path contains "rocm" or
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"gfx" must not mislabel a cu*/cpu index as ROCm; classification uses the
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final path segment of TORCH_INDEX_URL 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 install_python_stack._has_usable_nvidia_gpu with a mocked
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nvidia-smi that always reports a GPU; cvd = None removes 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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"""CUDA_VISIBLE_DEVICES set to "" or "-1" deliberately hides every NVIDIA
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device (mixed AMD+NVIDIA hosts steering work to the AMD card). All three
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_has_usable_nvidia_gpu implementations (install_python_stack.py, install.sh,
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setup.sh) must report the GPU as not usable so the AMD/CPU routes run,
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matching install_llama_prebuilt.py's has_usable_nvidia."""
|
|
|
|
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, rocminfo reports gfx1100:
|
|
_has_rocm_gpu must proceed past the NVIDIA guard and return True
|
|
(before this fix the guard ignored CVD and blocked ROCm)."""
|
|
|
|
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, and 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
|