Support optional kwargs in AITER fused_moe runner (#26746)
Co-authored-by: HaiShaw <hixiao@gmail.com>
This commit is contained in:
@@ -0,0 +1,119 @@
|
||||
import sys
|
||||
from types import ModuleType, SimpleNamespace
|
||||
|
||||
import pytest
|
||||
import torch
|
||||
|
||||
import sglang.srt.layers.moe.moe_runner.aiter as aiter_runner
|
||||
from sglang.srt.layers.moe.moe_runner.aiter import (
|
||||
AiterMoeQuantInfo,
|
||||
AiterQuantType,
|
||||
AiterRunnerCore,
|
||||
AiterRunnerInput,
|
||||
)
|
||||
from sglang.srt.layers.moe.moe_runner.base import MoeRunnerConfig
|
||||
from sglang.test.ci.ci_register import register_cpu_ci
|
||||
|
||||
register_cpu_ci(est_time=5, suite="base-b-test-cpu")
|
||||
|
||||
|
||||
def _runner_input():
|
||||
topk_ids = torch.tensor([[0, 1]], dtype=torch.int32)
|
||||
return AiterRunnerInput(
|
||||
hidden_states=torch.zeros((1, 4), dtype=torch.bfloat16),
|
||||
topk_ids=topk_ids,
|
||||
topk_weights=torch.ones(topk_ids.shape, dtype=torch.float32),
|
||||
quant_type=AiterQuantType.PER_1X32,
|
||||
)
|
||||
|
||||
|
||||
def _quant_info(**overrides):
|
||||
kwargs = {
|
||||
"w13_weight": torch.empty((2, 8, 2)),
|
||||
"w2_weight": torch.empty((2, 4, 2)),
|
||||
"quant_type": AiterQuantType.PER_1X32,
|
||||
}
|
||||
kwargs.update(overrides)
|
||||
return AiterMoeQuantInfo(**kwargs)
|
||||
|
||||
|
||||
def _install_fake_aiter(monkeypatch, fused_moe):
|
||||
fake_aiter = ModuleType("aiter")
|
||||
fake_aiter.__path__ = []
|
||||
fake_aiter.ActivationType = SimpleNamespace(Silu="Silu")
|
||||
fake_aiter.QuantType = SimpleNamespace(per_1x32="per_1x32")
|
||||
|
||||
fake_fused_moe = ModuleType("aiter.fused_moe")
|
||||
fake_fused_moe.fused_moe = fused_moe
|
||||
|
||||
fake_ops = ModuleType("aiter.ops")
|
||||
fake_ops.__path__ = []
|
||||
fake_flydsl = ModuleType("aiter.ops.flydsl")
|
||||
fake_flydsl.__path__ = []
|
||||
fake_moe_common = ModuleType("aiter.ops.flydsl.moe_common")
|
||||
fake_moe_common.GateMode = SimpleNamespace(
|
||||
INTERLEAVE=SimpleNamespace(value="INTERLEAVE")
|
||||
)
|
||||
|
||||
monkeypatch.setitem(sys.modules, "aiter", fake_aiter)
|
||||
monkeypatch.setitem(sys.modules, "aiter.fused_moe", fake_fused_moe)
|
||||
monkeypatch.setitem(sys.modules, "aiter.ops", fake_ops)
|
||||
monkeypatch.setitem(sys.modules, "aiter.ops.flydsl", fake_flydsl)
|
||||
monkeypatch.setitem(sys.modules, "aiter.ops.flydsl.moe_common", fake_moe_common)
|
||||
|
||||
|
||||
def test_aiter_runner_forwards_no_combine_and_extra_fused_moe_kwargs(monkeypatch):
|
||||
captured = {}
|
||||
|
||||
def fused_moe(**kwargs):
|
||||
captured.update(kwargs)
|
||||
return kwargs["hidden_states"]
|
||||
|
||||
_install_fake_aiter(monkeypatch, fused_moe)
|
||||
monkeypatch.setattr(
|
||||
aiter_runner, "_aiter_fused_moe_supports_no_combine", lambda: True
|
||||
)
|
||||
|
||||
runner = AiterRunnerCore(MoeRunnerConfig(activation="silu", no_combine=True))
|
||||
|
||||
runner.run(
|
||||
_runner_input(),
|
||||
_quant_info(fused_moe_kwargs={"custom_fused_moe_kwarg": "enabled"}),
|
||||
running_state={},
|
||||
)
|
||||
|
||||
assert captured["activation"] == "Silu"
|
||||
assert captured["quant_type"] == "per_1x32"
|
||||
assert captured["no_combine"] is True
|
||||
assert captured["custom_fused_moe_kwarg"] == "enabled"
|
||||
|
||||
|
||||
def test_aiter_runner_rejects_no_combine_when_fused_moe_does_not_support_it(
|
||||
monkeypatch,
|
||||
):
|
||||
monkeypatch.setattr(
|
||||
aiter_runner, "_aiter_fused_moe_supports_no_combine", lambda: False
|
||||
)
|
||||
runner = AiterRunnerCore(MoeRunnerConfig(no_combine=True))
|
||||
|
||||
with pytest.raises(NotImplementedError, match="no_combine=True"):
|
||||
runner.run(_runner_input(), _quant_info(), running_state={})
|
||||
|
||||
|
||||
def test_aiter_runner_preserves_no_combine_rank_for_empty_input(monkeypatch):
|
||||
monkeypatch.setattr(
|
||||
aiter_runner, "_aiter_fused_moe_supports_no_combine", lambda: True
|
||||
)
|
||||
runner = AiterRunnerCore(MoeRunnerConfig(no_combine=True))
|
||||
runner_input = _runner_input()
|
||||
runner_input.hidden_states = torch.zeros((0, 4), dtype=torch.bfloat16)
|
||||
runner_input.topk_ids = torch.zeros((0, 2), dtype=torch.int32)
|
||||
runner_input.topk_weights = torch.zeros((0, 2), dtype=torch.float32)
|
||||
|
||||
output = runner.run(runner_input, _quant_info(), running_state={})
|
||||
|
||||
assert output.hidden_states.shape == (0, 2, 4)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(pytest.main([__file__, "-v"]))
|
||||
Reference in New Issue
Block a user