tests/test_geometry_carrier_runner.py
"""Infrastructure-failure policy of the frozen runner; no model, data or GPU is used."""
import importlib.util
import json
import signal
import sys
from pathlib import Path
import pytest
pytestmark = pytest.mark.skipif(sys.platform == "win32", reason="POSIX signals required")
NO_CORE = "import resource\nresource.setrlimit(resource.RLIMIT_CORE, (0, 0))\n"
CRASH_ONCE = NO_CORE + (
"import os, pathlib, signal, sys\n"
"marker, work = pathlib.Path(sys.argv[1]), pathlib.Path(sys.argv[2])\n"
"work.mkdir()\n"
"if not marker.exists():\n"
" marker.write_text('crashed')\n"
" os.kill(os.getpid(), signal.SIGSEGV)\n"
"print('ok')\n"
)
ALWAYS_CRASH = NO_CORE + "import os, signal\nos.kill(os.getpid(), signal.SIGSEGV)\n"
CUDA_ONCE = (
"import pathlib, sys\n"
"marker = pathlib.Path(sys.argv[1])\n"
"if not marker.exists():\n"
" marker.write_text('failed')\n"
" print('RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED')\n"
" raise SystemExit(1)\n"
"print('ok')\n"
)
def runner():
path = Path(__file__).parents[1] / "scripts" / "run_geometry_carrier_experiment.py"
spec = importlib.util.spec_from_file_location("geometry_carrier_runner", path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
def experiment(tmp_path):
root = tmp_path / "exp"
(root / "audit").mkdir(parents=True)
(root / "checkpoints").mkdir()
return root
def script(tmp_path, name, text):
path = tmp_path / name
path.write_text(text)
return str(path)
def test_native_crash_is_archived_and_rerun_from_scratch(tmp_path):
module, root = runner(), experiment(tmp_path)
work = root / "checkpoints" / "C1_1"
times = {}
args = [script(tmp_path, "crash_once.py", CRASH_ONCE), str(tmp_path / "marker"), str(work)]
module.execute(root, "train_C1_1", args, env=None, times=times, archive=[work])
incidents = json.loads((root / "audit/incidents.json").read_text())
assert len(incidents) == 1 and incidents[0]["returncode"] == -signal.SIGSEGV
assert incidents[0]["kind"] == "native_crash"
failed = Path(incidents[0]["archived_to"])
assert (failed / "train_C1_1.log").is_file() and (failed / "C1_1").is_dir()
assert work.is_dir() and "train_C1_1" in times
assert (root / "audit/train_C1_1.log").read_text().strip() == "ok"
def test_cuda_resource_error_is_archived_and_retried(tmp_path):
module, root = runner(), experiment(tmp_path)
times = {}
args = [script(tmp_path, "cuda_once.py", CUDA_ONCE), str(tmp_path / "marker")]
module.execute(root, "phase", args, env=None, times=times, archive=[])
incidents = json.loads((root / "audit/incidents.json").read_text())
assert [(i["kind"], i["returncode"]) for i in incidents] == [("cuda_resource", 1)]
assert "phase" in times
def test_retries_are_bounded_and_counted_across_invocations(tmp_path):
module, root = runner(), experiment(tmp_path)
crash = [script(tmp_path, "always.py", ALWAYS_CRASH)]
with pytest.raises(module.subprocess.CalledProcessError):
module.execute(root, "phase", crash, env=None, times={}, archive=[], retries=2)
incidents = json.loads((root / "audit/incidents.json").read_text())
assert [i["attempt"] for i in incidents] == [1, 2, 3]
with pytest.raises(PermissionError, match="retry budget"):
module.execute(root, "phase", crash, env=None, times={}, archive=[], retries=2)
assert len(json.loads((root / "audit/incidents.json").read_text())) == 3
def test_one_prior_failure_leaves_the_remaining_budget(tmp_path):
module, root = runner(), experiment(tmp_path)
(root / "audit/failed_attempts/phase_attempt1").mkdir(parents=True)
times, calls = {}, []
ok = [script(tmp_path, "ok.py", "print('ok')\n")]
module.execute(
root,
"phase",
ok,
env=None,
times=times,
archive=[],
before_attempt=lambda label, attempt: calls.append((label, attempt)),
)
assert "phase" in times and calls == [("phase", 2)]
assert not (root / "audit/incidents.json").exists()
def test_python_error_is_never_retried(tmp_path):
module, root = runner(), experiment(tmp_path)
args = [script(tmp_path, "fail.py", "raise SystemExit(3)\n")]
with pytest.raises(module.subprocess.CalledProcessError) as error:
module.execute(root, "phase", args, env=None, times={}, archive=[])
assert error.value.returncode == 3
assert not (root / "audit/incidents.json").exists()
def test_gpu_gate_waits_for_frozen_headroom():
module = runner()
values = iter([100, 2000, 5000])
info = module.wait_for_gpu(3072, poll_seconds=0, probe=lambda: next(values))
assert info["free_mib"] == 5000
with pytest.raises(TimeoutError):
module.wait_for_gpu(3072, poll_seconds=0, timeout_seconds=-1, probe=lambda: 1)
def test_secondary_failure_is_recorded_but_primary_failure_stops(tmp_path, monkeypatch):
module, root = runner(), experiment(tmp_path)
config = {
"seeds": [1, 2],
"variants": ["C0", "C1", "C2"],
"primary_pair": ["C0", "C1"],
"parallel_workers": 3,
"infrastructure_retries": 2,
}
started = []
def fake(root, label, args, **kwargs):
started.append(label)
if label.startswith(tuple(fail)):
raise module.subprocess.CalledProcessError(3, args)
monkeypatch.setattr(module, "execute", fake)
fail = ["train_C2_1"]
module.train_all(root, config, env=None, times={})
assert list(json.loads((root / "audit/training_failures.json").read_text())) == ["C2_1"]
assert sorted(started) == sorted(f"train_{v}_{s}" for v in ("C0", "C1", "C2") for s in (1, 2))
fail, started[:] = ["train_C1_1"], []
with pytest.raises(RuntimeError, match="Primary training failed"):
module.train_all(root, config, env=None, times={})
assert all(label.endswith("_1") for label in started)