CI: cross-platform GPU-offload spoof on Windows/macOS/Linux runners

Adds a GPU-less smoke that drives install_llama_prebuilt.py --smoke-test against
a fake llama-server emitting CPU-only vs GPU device_info logs, asserting a
CPU-only binary tagged as a GPU install is rejected (exit 2) and a GPU one is
accepted (exit 0), plus the selection and classifier unit tests, on all three
OSes. This is the coverage gap that let the silent CPU-only path ship.
This commit is contained in:
danielhanchen 2026-06-01 15:55:04 +00:00
commit a742dd49ce
2 changed files with 166 additions and 0 deletions

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# Cross-platform GPU-offload validation smoke (no GPU required).
#
# Reproduces the silent CPU-only GGUF bug (#5807 / #5106 / #5830) with a fake
# llama-server that "starts and serves HTTP 200" while its log reports CPU-only
# or GPU offload, and asserts install_llama_prebuilt.py --smoke-test rejects the
# CPU-only-tagged-GPU case (exit 2) and accepts the GPU case (exit 0). Runs on
# GPU-less Windows / macOS / Linux runners, which is why this regressed
# untested. Also runs the pure-Python selection + classifier unit tests.
name: Studio GPU Offload Smoke
on:
pull_request:
paths:
- 'studio/install_llama_prebuilt.py'
- 'studio/setup.sh'
- 'studio/setup.ps1'
- 'studio/backend/core/inference/llama_cpp.py'
- 'tests/studio/install/**'
- 'tests/sh/test_llama_gpu_smoke.sh'
- '.github/workflows/studio-gpu-offload-smoke.yml'
push:
branches: [main, pip]
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
gpu-offload-spoof:
name: GPU-offload spoof (${{ matrix.os }})
runs-on: ${{ matrix.os }}
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install pytest
run: python -m pip install --upgrade pip pytest
- name: GPU-offload spoof (end to end, real subprocess + HTTP)
run: python tests/studio/install/run_smoke_spoof.py
- name: Selection + classifier unit tests
run: >
python -m pytest
tests/studio/install/test_validate_server_gpu_offload.py
tests/studio/install/test_selection_logic.py
tests/studio/install/test_gpu_offload_spoof.py
-q
- name: setup.sh smoke-exit classifier (POSIX)
if: runner.os != 'Windows'
run: bash tests/sh/test_llama_gpu_smoke.sh

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#!/usr/bin/env python3
"""Cross-platform GPU-offload spoof driver for CI (no GPU required).
Builds an OS-appropriate `llama-server` wrapper around fake_llama_server.py and
drives install_llama_prebuilt.py --smoke-test against it, asserting the exit
code contract the setup scripts depend on:
FAKE_LLAMA_MODE=cpu , GPU install_kind -> exit 2 (EXIT_FALLBACK) rejected
FAKE_LLAMA_MODE=cuda, GPU install_kind -> exit 0 (EXIT_SUCCESS) accepted
FAKE_LLAMA_MODE=cpu , CPU install_kind -> exit 0 not gated
Runs on windows-latest / macos-latest / ubuntu-latest. Exits non-zero on any
mismatch so the CI job fails loudly.
"""
import os
import stat
import subprocess
import sys
import tempfile
from pathlib import Path
HERE = Path(__file__).resolve().parent
REPO = HERE.parents[2]
INSTALLER = REPO / "studio" / "install_llama_prebuilt.py"
FAKE = HERE / "fake_llama_server.py"
IS_WIN = sys.platform == "win32"
GPU_KIND = {
"win32": "windows-cuda",
"darwin": "macos-arm64",
}.get(sys.platform, "linux-cuda")
CPU_KIND = {
"win32": "windows-cpu",
"darwin": "macos-cpu",
}.get(sys.platform, "linux-cpu")
def make_wrapper(workdir: Path) -> Path:
if IS_WIN:
wrapper = workdir / "llama-server.bat"
wrapper.write_text(f'@"{sys.executable}" "{FAKE}" %*\r\n')
return wrapper
wrapper = workdir / "llama-server"
wrapper.write_text(f'#!/bin/sh\nexec "{sys.executable}" "{FAKE}" "$@"\n')
wrapper.chmod(wrapper.stat().st_mode | stat.S_IEXEC | stat.S_IXGRP | stat.S_IXOTH)
return wrapper
def run_smoke(wrapper: Path, probe: Path, install_kind: str, mode: str) -> int:
env = dict(os.environ, FAKE_LLAMA_MODE=mode)
proc = subprocess.run(
[
sys.executable,
str(INSTALLER),
"--smoke-test", str(wrapper),
"--probe", str(probe),
"--install-kind", install_kind,
],
env=env,
capture_output=True,
text=True,
)
sys.stdout.write(proc.stdout)
sys.stderr.write(proc.stderr)
return proc.returncode
def main() -> int:
failures = []
with tempfile.TemporaryDirectory() as tmp:
work = Path(tmp)
wrapper = make_wrapper(work)
probe = work / "probe.gguf"
probe.write_bytes(b"GGUF\x00fake")
cases = [
("cpu", GPU_KIND, 2, "CPU-only binary tagged GPU is rejected"),
("offloaded_zero", GPU_KIND, 2, "offloaded 0/N tagged GPU is rejected"),
("cuda", GPU_KIND, 0, "GPU binary tagged GPU is accepted"),
("cuda_buffer", GPU_KIND, 0, "GPU buffer-format binary is accepted"),
("cpu", CPU_KIND, 0, "CPU binary tagged CPU is not gated"),
("no_signal", GPU_KIND, 0, "no-signal log is not rejected"),
]
for mode, kind, expected, label in cases:
rc = run_smoke(wrapper, probe, kind, mode)
ok = rc == expected
print(f"[{'PASS' if ok else 'FAIL'}] {label}: mode={mode} kind={kind} exit={rc} (want {expected})")
if not ok:
failures.append(label)
if failures:
print(f"\n{len(failures)} spoof case(s) failed: {failures}")
return 1
print("\nAll GPU-offload spoof cases passed.")
return 0
if __name__ == "__main__":
raise SystemExit(main())