feat: make the harness backend-agnostic

Everything about which accelerator a run targets was previously spelled CUDA:
device discovery went through nvidia-smi, pinning through CUDA_VISIBLE_DEVICES,
the vendor guard only recognised NVIDIA, and the -p plugin list was hardcoded in
run_pytest.sh with no way to drop the CUDA-only members. Running the same
operator corpus on another vendor's device therefore meant editing the drivers.

The selection now hangs off one ZL_BACKEND variable (cuda/musa/rocm/ascend, with
the usual aliases):

- backends/ owns per-backend device enumeration, visibility env keys and
  capability flags, so nothing above it names a vendor;
- plugin_plan.py derives the -p list from those capabilities instead of a
  hardcoded array, which is what lets a non-CUDA run omit the graph-capture and
  cluster-fix plugins rather than watch them fail;
- _timing_plugin selects the timer from the same capabilities: CUDA keeps
  graph capture with its per-shape fallback, other backends stay on upstream
  do_bench and record timer=direct, because capture-then-fallback on a device
  without graph support only produces noise;
- _device_setup_plugin replaces the NVIDIA-only vendor guard;
- providers/flaggems.py resolves the pytest node, so a caller may pass TEST_NODE
  directly instead of the OP/OP_FILE pair, and SHAPE_MODE=upstream can defer to
  FlagGems' own core_shapes;
- _run_identity.py writes run_identity.json next to each run, recording backend,
  device, timer, autotune mode and the resolved test node. Two runs whose
  calibers differ are otherwise indistinguishable after the fact.

run_batch gains --backend and --devices (--gpus kept as an alias) and carries
backend/device/timer into ops_status.csv. test_backends.py covers the registry,
alias resolution, visibility env and plugin planning.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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AharrypotterandClaude Opus 5 committed 2026-09-09 16:39:14 +08:00
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#!/usr/bin/env python3
"""No-GPU unit tests for zl_bench backend adapters and plugin policy.
FlagGems pytest invocations pass an explicit node, so this file is not
collected during operator runs. Run it with `python test_backends.py`.
"""
from __future__ import annotations
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
ROOT = Path(__file__).resolve().parent
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from backends import ( # noqa: E402
UnknownBackendError,
get_backend,
normalize_backend_name,
)
from backends.base import ALL_VISIBILITY_KEYS # noqa: E402
from batch_summary import SUMMARY_FIELDS # noqa: E402
from plugin_plan import plan_plugins # noqa: E402
from providers.flaggems import ( # noqa: E402
VENDOR_BY_BACKEND,
emit_run_env,
flaggems_vendor,
parse_test_node,
)
from run_batch import STATUS_FIELDS, resolve_device_arg # noqa: E402
from _run_identity import init_identity, load_identity, update_identity # noqa: E402
class BackendResolveTests(unittest.TestCase):
def test_empty_and_alias_resolve_to_cuda(self):
self.assertEqual(normalize_backend_name(""), "cuda")
self.assertEqual(get_backend("nvidia").name, "cuda")
self.assertEqual(get_backend("nv").name, "cuda")
self.assertEqual(get_backend("").name, "cuda")
def test_other_aliases(self):
self.assertEqual(get_backend("amd").name, "rocm")
self.assertEqual(get_backend("hip").name, "rocm")
self.assertEqual(get_backend("npu").name, "ascend")
self.assertEqual(get_backend("huawei").name, "ascend")
def test_unknown_backend_fails_closed(self):
with self.assertRaises(UnknownBackendError):
get_backend("tpu")
with self.assertRaises(UnknownBackendError):
get_backend("not-a-backend")
class VisibilityTests(unittest.TestCase):
def test_musa_drops_leftover_cuda(self):
env = {"CUDA_VISIBLE_DEVICES": "7", "PATH": "/bin"}
out = get_backend("musa").apply_visibility(env, "1")
self.assertNotIn("CUDA_VISIBLE_DEVICES", out)
self.assertEqual(out["MUSA_VISIBLE_DEVICES"], "1")
self.assertEqual(out["PATH"], "/bin")
for key in ALL_VISIBILITY_KEYS:
if key != "MUSA_VISIBLE_DEVICES":
self.assertNotIn(key, out)
def test_rocm_writes_hip_and_rocr(self):
out = get_backend("rocm").apply_visibility(
{"CUDA_VISIBLE_DEVICES": "0"}, "3")
self.assertEqual(out["HIP_VISIBLE_DEVICES"], "3")
self.assertEqual(out["ROCR_VISIBLE_DEVICES"], "3")
self.assertNotIn("CUDA_VISIBLE_DEVICES", out)
def test_ascend_writes_both_keys(self):
out = get_backend("ascend").apply_visibility({}, "2")
self.assertEqual(out["ASCEND_RT_VISIBLE_DEVICES"], "2")
self.assertEqual(out["ASCEND_VISIBLE_DEVICES"], "2")
self.assertNotIn("CUDA_VISIBLE_DEVICES", out)
def test_cuda_only_sets_cuda(self):
out = get_backend("cuda").apply_visibility(
{"MUSA_VISIBLE_DEVICES": "9"}, "0")
self.assertEqual(out["CUDA_VISIBLE_DEVICES"], "0")
self.assertNotIn("MUSA_VISIBLE_DEVICES", out)
class FlagGemsVendorTests(unittest.TestCase):
def test_vendor_map(self):
self.assertEqual(VENDOR_BY_BACKEND["cuda"], "nvidia")
self.assertEqual(VENDOR_BY_BACKEND["rocm"], "amd")
self.assertEqual(flaggems_vendor(get_backend("cuda")), "nvidia")
self.assertEqual(flaggems_vendor(get_backend("rocm")), "amd")
self.assertEqual(flaggems_vendor(get_backend("musa")), "musa")
self.assertEqual(flaggems_vendor(get_backend("ascend")), "ascend")
class FlagGemsNodeTests(unittest.TestCase):
_NODE = (
"/workspace/FlagGems/benchmark/test_fused_marlin_moe.py"
"::test_fused_marlin_moe_mxfp4"
)
def test_parse_user_command_node(self):
parsed = parse_test_node(self._NODE)
self.assertEqual(parsed["op"], "fused_marlin_moe_mxfp4")
self.assertEqual(parsed["op_file"], "fused_marlin_moe")
self.assertEqual(parsed["flaggems_dir"], "/workspace/FlagGems")
self.assertTrue(parsed["test_file"].endswith(
"test_fused_marlin_moe.py::test_fused_marlin_moe_mxfp4"))
def test_test_node_defaults_to_upstream_shapes(self):
env = emit_run_env(
test_node=self._NODE,
op="softmax",
op_file="softmax",
flaggems_dir="/workspace/dev/FlagGems",
)
self.assertEqual(env["OP"], "fused_marlin_moe_mxfp4")
self.assertEqual(env["OP_FILE"], "fused_marlin_moe")
self.assertEqual(env["FLAGGEMS_DIR"], "/workspace/FlagGems")
self.assertEqual(env["SHAPE_MODE"], "upstream")
self.assertEqual(env["PASS_SHAPE_FILE"], "0")
self.assertEqual(env["TEST_FILE"], self._NODE)
def test_plain_run_keeps_inline_shapes(self):
env = emit_run_env(
op="fused_marlin_moe_mxfp4",
op_file="fused_marlin_moe",
flaggems_dir="/workspace/dev/FlagGems",
)
self.assertEqual(env["SHAPE_MODE"], "inline")
self.assertEqual(env["PASS_SHAPE_FILE"], "1")
self.assertIn("test_fused_marlin_moe.py::test_fused_marlin_moe_mxfp4",
env["TEST_FILE"])
def test_explicit_shape_file_wins(self):
env = emit_run_env(
test_node=self._NODE,
shape_file="/tmp/my_shapes.yaml",
)
self.assertEqual(env["SHAPE_MODE"], "file")
self.assertEqual(env["PASS_SHAPE_FILE"], "1")
def test_resolve_uses_existing_local_root(self):
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp) / "FlagGems"
py = root / "benchmark" / "test_fused_marlin_moe.py"
py.parent.mkdir(parents=True)
py.write_text("# stub\n", encoding="utf-8")
env = emit_run_env(
op="fused_marlin_moe_mxfp4",
op_file="fused_marlin_moe",
flaggems_dir=str(root),
)
self.assertEqual(env["FLAGGEMS_DIR"], str(root))
self.assertTrue(Path(env["TEST_FILE"].split("::", 1)[0]).is_file())
class PluginPlanTests(unittest.TestCase):
def _plan(self, backend, **kwargs):
kwargs.setdefault("extra", [])
kwargs.setdefault("enable_autotune", True)
kwargs.setdefault("enable_ir", True)
kwargs.setdefault("enable_mm_cluster", False)
return plan_plugins(backend, **kwargs)
def test_cuda_does_not_put_cudagraph_on_the_list(self):
names = self._plan("cuda")
self.assertIn("_timing_plugin", names)
self.assertIn("_device_setup_plugin", names)
self.assertNotIn("_cudagraph_plugin", names)
self.assertNotIn("_mm_cluster_fix_plugin", names)
def test_musa_same_core_without_graph_or_cluster(self):
names = self._plan("musa")
self.assertIn("_timing_plugin", names)
self.assertNotIn("_cudagraph_plugin", names)
self.assertNotIn("_mm_cluster_fix_plugin", names)
def test_mm_cluster_ignored_on_non_cuda(self):
names = self._plan("musa", enable_mm_cluster=True)
self.assertNotIn("_mm_cluster_fix_plugin", names)
names = self._plan("cuda", enable_mm_cluster=True)
self.assertIn("_mm_cluster_fix_plugin", names)
def test_extra_plugins_isolated(self):
names = self._plan("cuda", extra=["_cudagraph_plugin"])
self.assertIn("_cudagraph_plugin", names)
names = self._plan("cuda", extra=[])
self.assertNotIn("_cudagraph_plugin", names)
def test_extra_none_reads_env(self):
old = os.environ.get("ZL_EXTRA_PLUGINS")
os.environ["ZL_EXTRA_PLUGINS"] = "_cudagraph_plugin"
try:
names = plan_plugins(
"cuda", extra=None, enable_autotune=True,
enable_ir=True, enable_mm_cluster=False)
self.assertIn("_cudagraph_plugin", names)
finally:
if old is None:
os.environ.pop("ZL_EXTRA_PLUGINS", None)
else:
os.environ["ZL_EXTRA_PLUGINS"] = old
class DeviceArgTests(unittest.TestCase):
def test_devices_preferred(self):
self.assertEqual(resolve_device_arg("0,1", None), "0,1")
self.assertEqual(resolve_device_arg(None, "2"), "2")
self.assertIsNone(resolve_device_arg(None, None))
def test_both_set_is_error(self):
with self.assertRaises(ValueError):
resolve_device_arg("0", "1")
class CsvFieldTests(unittest.TestCase):
def test_status_fields(self):
for name in ("backend", "device", "gpu", "timer"):
self.assertIn(name, STATUS_FIELDS)
def test_summary_fields(self):
for name in ("backend", "device", "timer"):
self.assertIn(name, SUMMARY_FIELDS)
self.assertLess(SUMMARY_FIELDS.index("backend"),
SUMMARY_FIELDS.index("fg_op_name"))
class IdentityMergeTests(unittest.TestCase):
def test_init_then_update(self):
old_out = os.environ.get("OUT_DIR")
try:
with tempfile.TemporaryDirectory() as tmp:
init_identity(tmp, backend="cuda", device="0", op="softmax")
update_identity(tmp, timer="direct")
ident = load_identity(tmp)
self.assertEqual(ident["schema_version"], 1)
self.assertEqual(ident["provider"], "flaggems")
self.assertEqual(ident["backend"], "cuda")
self.assertEqual(ident["device"], "0")
self.assertEqual(ident["timer"], "direct")
self.assertEqual(ident["op"], "softmax")
finally:
if old_out is None:
os.environ.pop("OUT_DIR", None)
else:
os.environ["OUT_DIR"] = old_out
class AutotuneReplayBackendTests(unittest.TestCase):
def setUp(self):
self._old = os.environ.get("ZL_BACKEND")
os.environ["ZL_BACKEND"] = "cuda"
def tearDown(self):
if self._old is None:
os.environ.pop("ZL_BACKEND", None)
else:
os.environ["ZL_BACKEND"] = self._old
def test_missing_meta_still_replays(self):
from _autotune_record_plugin import _replay_backend_ok
with tempfile.TemporaryDirectory() as tmp:
self.assertTrue(_replay_backend_ok(tmp))
def test_matching_backend_ok(self):
from _autotune_record_plugin import _replay_backend_ok
with tempfile.TemporaryDirectory() as tmp:
Path(tmp, "meta.json").write_text(
json.dumps({"backend": "cuda"}), encoding="utf-8")
self.assertTrue(_replay_backend_ok(tmp))
def test_mismatch_refuses_replay(self):
from _autotune_record_plugin import _replay_backend_ok
with tempfile.TemporaryDirectory() as tmp:
Path(tmp, "meta.json").write_text(
json.dumps({"backend": "musa"}), encoding="utf-8")
self.assertFalse(_replay_backend_ok(tmp))
if __name__ == "__main__":
unittest.main()