171 lines
5.1 KiB
Python
171 lines
5.1 KiB
Python
import os
|
|
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
import requests
|
|
|
|
from sglang.srt.utils import kill_process_tree
|
|
from sglang.test.ci.ci_register import register_cuda_ci
|
|
from sglang.test.run_eval import run_eval
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
CustomTestCase,
|
|
popen_launch_server,
|
|
)
|
|
|
|
register_cuda_ci(est_time=1200, stage="nightly", runner_config="4-gpu-b200")
|
|
|
|
|
|
class FlashinferNvFp4OnlineMoeBackendBase:
|
|
backend = None
|
|
model = None
|
|
extra_args = []
|
|
extra_env = {}
|
|
eval_args = {}
|
|
spec_accept_length_threshold = None
|
|
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
env={**os.environ, **cls.extra_env, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
|
|
other_args=[
|
|
*cls.extra_args,
|
|
"--moe-runner-backend",
|
|
cls.backend,
|
|
"--cuda-graph-max-bs-decode",
|
|
"128",
|
|
"--tp-size",
|
|
"4",
|
|
"--ep-size",
|
|
"4",
|
|
"--quantization",
|
|
"nvfp4_online",
|
|
"--mem-fraction-static",
|
|
"0.7",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_gsm8k(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="gsm8k",
|
|
num_examples=200,
|
|
num_threads=128,
|
|
**self.eval_args,
|
|
)
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.90)
|
|
if self.spec_accept_length_threshold is not None:
|
|
server_info = requests.get(self.base_url + "/server_info").json()
|
|
avg_spec_accept_length = server_info["internal_states"][0][
|
|
"avg_spec_accept_length"
|
|
]
|
|
print(f"{avg_spec_accept_length=}")
|
|
self.assertGreater(
|
|
avg_spec_accept_length, self.spec_accept_length_threshold
|
|
)
|
|
|
|
|
|
class TestFlashinferTrtllmGenMoeBackendNvFp4Online(
|
|
FlashinferNvFp4OnlineMoeBackendBase, CustomTestCase
|
|
):
|
|
backend = "flashinfer_trtllm"
|
|
model = "Qwen/Qwen3-30B-A3B-Instruct-2507-FP8"
|
|
eval_args = {"api": "completion", "max_tokens": 512}
|
|
extra_env = {
|
|
"FLASHINFER_NVFP4_4OVER6": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_MODE": "MSE",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_USE_FAST_MATH": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_E4M3_USE_256": "1",
|
|
"SGLANG_FP4_IGNORED_LAYERS": ",".join(
|
|
["shared_expert"]
|
|
+ [f"model.layers.{layer_id}" for layer_id in range(40, 48)]
|
|
),
|
|
}
|
|
|
|
|
|
class TestFlashinferCuteDSLMoeBackendNvFp4Online(
|
|
FlashinferNvFp4OnlineMoeBackendBase, CustomTestCase
|
|
):
|
|
backend = "flashinfer_cutedsl"
|
|
model = "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8"
|
|
extra_args = [
|
|
"--reasoning-parser",
|
|
"nemotron_3",
|
|
"--tool-call-parser",
|
|
"qwen3_coder",
|
|
"--speculative-algorithm",
|
|
"EAGLE",
|
|
"--speculative-num-steps",
|
|
"3",
|
|
"--speculative-eagle-topk",
|
|
"1",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
]
|
|
eval_args = {"max_tokens": 16000, "temperature": 1.0, "top_p": 0.95}
|
|
spec_accept_length_threshold = 2.5
|
|
extra_env = {
|
|
"FLASHINFER_NVFP4_4OVER6": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_MODE": "MSE",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_USE_FAST_MATH": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_E4M3_USE_256": "1",
|
|
}
|
|
|
|
|
|
class TestFlashinferCuteDSLMoeBackendNvFp4OnlineW4A16(
|
|
FlashinferNvFp4OnlineMoeBackendBase, CustomTestCase
|
|
):
|
|
backend = "flashinfer_cutedsl"
|
|
model = "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8"
|
|
extra_args = [
|
|
"--reasoning-parser",
|
|
"nemotron_3",
|
|
"--tool-call-parser",
|
|
"qwen3_coder",
|
|
"--speculative-algorithm",
|
|
"EAGLE",
|
|
"--speculative-num-steps",
|
|
"3",
|
|
"--speculative-eagle-topk",
|
|
"1",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
"--dp-size",
|
|
"4",
|
|
"--enable-dp-attention",
|
|
"--enable-dp-lm-head",
|
|
"--moe-a2a-backend",
|
|
"flashinfer",
|
|
"--cuda-graph-backend-prefill",
|
|
"disabled",
|
|
]
|
|
eval_args = {"max_tokens": 16000, "temperature": 1.0, "top_p": 0.95}
|
|
spec_accept_length_threshold = 2.5
|
|
extra_env = {
|
|
"FLASHINFER_NVFP4_4OVER6": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_MODE": "MSE",
|
|
"FLASHINFER_NVFP4_4OVER6_ERR_USE_FAST_MATH": "1",
|
|
"FLASHINFER_NVFP4_4OVER6_E4M3_USE_256": "1",
|
|
"SGLANG_FLASHINFER_CUTEDSL_NVFP4_W4A16": "1",
|
|
"SGLANG_FLASHINFER_NVFP4_PER_TOKEN_ACTIVATION": "0",
|
|
"SGLANG_FLASHINFER_MOE_FUSED_FINALIZE": "1",
|
|
"SGLANG_MOE_NVFP4_DISPATCH": "0",
|
|
"SGLANG_FLASHINFER_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "4096",
|
|
}
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|