ci: tag-gated nightly migration — foundation + 40 whole-file moves (#24725)

Co-authored-by: hnyls2002 <lsyincs@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
This commit is contained in:
Alison Shao
2026-05-14 16:11:15 -07:00
committed by GitHub
co-authored by hnyls2002 Liangsheng Yin
parent 67096f48bf
commit ba214ef3d3
78 changed files with 2254 additions and 2131 deletions
@@ -20,8 +20,11 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
# EAGLE3 with DP attention (tp=2, dp=2, requires 4 GPUs)
register_cuda_ci(est_time=99, stage="stage-c", runner_config="4-gpu-h100")
# EAGLE3 with DP attention (tp=2, dp=2, requires 4 GPUs).
# Per-commit EAGLE + DP-attn coverage on CUDA is provided by
# test_eagle_infer_beta_dp_attention.py (B200 4-gpu), so this H100 variant
# is gated to extra-b only.
register_cuda_ci(est_time=99, stage="extra-b", runner_config="4-gpu-h100")
register_amd_ci(est_time=200, suite="stage-c-test-4-gpu-amd")
@@ -13,7 +13,7 @@ from sglang.test.test_utils import (
CustomTestCase,
)
register_cuda_ci(est_time=357, stage="stage-b", runner_config="1-gpu-large")
register_cuda_ci(est_time=357, stage="extra-a", runner_config="1-gpu-large")
class TestEAGLEEngine(CustomTestCase):
+19
View File
@@ -0,0 +1,19 @@
import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
from sglang.test.server_fixtures.ngram_fixture import NgramServerBase
# Per-commit: Paged backend only.
# - FA3 base test archived to test/manual/spec/test_spec_ngram_fa3.py
# - Triton + Flashinfer moved to test_spec_ngram_extra.py
register_cuda_ci(est_time=254, stage="stage-b", runner_config="1-gpu-large")
class TestNgramSpeculativeDecodingPaged(NgramServerBase, GSM8KMixin):
attention_backend = "flashinfer"
extra_args = ["--page-size", "64"]
if __name__ == "__main__":
unittest.main()
@@ -2,83 +2,22 @@ import unittest
import requests
from sglang.srt.environ import envs
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
from sglang.test.test_utils import (
DEFAULT_TARGET_MODEL_NGRAM,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
from sglang.test.server_fixtures.ngram_fixture import NgramServerBase
register_cuda_ci(est_time=254, stage="stage-b", runner_config="1-gpu-large")
GSM_DATASET_PATH = None
# Extra: Triton + Flashinfer NGRAM backends. Sibling per-commit file
# (test_spec_ngram.py) keeps the Paged variant.
register_cuda_ci(est_time=254, stage="extra-a", runner_config="1-gpu-large")
# Default server arguments shared across all tests
DEFAULT_SERVER_ARGS = [
"--trust-remote-code",
"--cuda-graph-max-bs",
"8",
"--speculative-algorithm",
"NGRAM",
"--speculative-num-draft-tokens",
"16",
"--mem-fraction-static",
0.8,
]
class TestNgramSpeculativeDecodingTriton(NgramServerBase, GSM8KMixin):
attention_backend = "triton"
class TestNgramSpeculativeDecodingBase(GSM8KMixin, CustomTestCase):
model = DEFAULT_TARGET_MODEL_NGRAM
base_url = DEFAULT_URL_FOR_TEST
gsm8k_accuracy_thres = 0.79 # derived tests need to override this
gsm8k_accept_length_thres = 1.8 # derived spec decoding tests need to override this
@classmethod
def get_server_args(cls):
"""Return the arguments for the server launch. Override in subclasses."""
return DEFAULT_SERVER_ARGS + ["--attention-backend", "fa3"]
@classmethod
def setUpClass(cls):
# disable deep gemm precompile to make launch server faster
# please don't do this if you want to make your inference workload faster
envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.set(False)
envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(False)
model = cls.model
cls.process = popen_launch_server(
model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=cls.get_server_args(),
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
class TestNgramSpeculativeDecodingTriton(TestNgramSpeculativeDecodingBase):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + ["--attention-backend", "triton"]
class TestNgramSpeculativeDecodingFlashinfer(TestNgramSpeculativeDecodingBase):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + [
"--attention-backend",
"flashinfer",
"--speculative-ngram-external-sam-budget",
"8",
]
class TestNgramSpeculativeDecodingFlashinfer(NgramServerBase, GSM8KMixin):
attention_backend = "flashinfer"
extra_args = ["--speculative-ngram-external-sam-budget", "8"]
def test_output_as_corpus_boosts_accept_length(self):
"""Baseline → HTTP add corpus → verify accept length boost."""
@@ -147,17 +86,5 @@ class TestNgramSpeculativeDecodingFlashinfer(TestNgramSpeculativeDecodingBase):
)
class TestNgramSpeculativeDecodingPaged(TestNgramSpeculativeDecodingBase):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + [
"--attention-backend",
"flashinfer",
"--page-size",
"64",
]
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,27 @@
import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.server_fixtures.standalone_fixture import StandaloneServerBase
from sglang.test.test_utils import CustomTestCase
# V2 standalone speculative decoding tests (FA3, Triton, FlashInfer backends).
# Non-V2 backends moved to test_spec_standalone_extra.py.
register_cuda_ci(est_time=406, stage="stage-b", runner_config="1-gpu-large")
class TestStandaloneV2SpeculativeDecodingBase(StandaloneServerBase, CustomTestCase):
attention_backend = "fa3"
class TestStandaloneV2SpeculativeDecodingTriton(StandaloneServerBase, CustomTestCase):
attention_backend = "triton"
class TestStandaloneV2SpeculativeDecodingFlashinfer(
StandaloneServerBase, CustomTestCase
):
attention_backend = "flashinfer"
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,34 @@
import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.server_fixtures.standalone_fixture import StandaloneServerBase
from sglang.test.test_utils import CustomTestCase
# Non-V2 standalone speculative decoding tests (FA3, Triton, FlashInfer
# backends). Sibling V2 classes stay per-commit in test_spec_standalone.py.
register_cuda_ci(est_time=406, stage="extra-a", runner_config="1-gpu-large")
class TestStandaloneSpeculativeDecodingBase(StandaloneServerBase, CustomTestCase):
attention_backend = "fa3"
speculative_eagle_topk = 2
speculative_num_draft_tokens = 7
enable_spec_v2 = False
class TestStandaloneSpeculativeDecodingTriton(StandaloneServerBase, CustomTestCase):
attention_backend = "triton"
speculative_eagle_topk = 2
speculative_num_draft_tokens = 7
enable_spec_v2 = False
class TestStandaloneSpeculativeDecodingFlashinfer(StandaloneServerBase, CustomTestCase):
attention_backend = "flashinfer"
speculative_eagle_topk = 2
speculative_num_draft_tokens = 7
enable_spec_v2 = False
if __name__ == "__main__":
unittest.main()
@@ -1,223 +0,0 @@
import unittest
from types import SimpleNamespace
import requests
from sglang.srt.environ import envs
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_DRAFT_MODEL_STANDALONE,
DEFAULT_TARGET_MODEL_STANDALONE,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
# Standalone speculative decoding tests (FA3, Triton, FlashInfer backends)
register_cuda_ci(est_time=406, stage="stage-b", runner_config="1-gpu-large")
GSM_DATASET_PATH = None
# Default server arguments shared across all tests
DEFAULT_SERVER_ARGS = [
"--trust-remote-code",
"--cuda-graph-max-bs",
"8",
"--speculative-algorithm",
"STANDALONE",
"--speculative-draft-model-path",
DEFAULT_DRAFT_MODEL_STANDALONE,
"--speculative-num-steps",
"4",
"--speculative-eagle-topk",
"2",
"--speculative-num-draft-tokens",
"7",
"--mem-fraction-static",
0.7,
]
# Default server arguments for V2 tests
DEFAULT_SERVER_ARGS_V2 = [
"--trust-remote-code",
"--cuda-graph-max-bs",
"8",
"--speculative-algorithm",
"STANDALONE",
"--speculative-draft-model-path",
DEFAULT_DRAFT_MODEL_STANDALONE,
"--speculative-num-steps",
"4",
"--speculative-eagle-topk",
"1",
"--speculative-num-draft-tokens",
"5",
"--mem-fraction-static",
0.7,
]
class TestStandaloneSpeculativeDecodingBase(CustomTestCase):
model = DEFAULT_TARGET_MODEL_STANDALONE
draft_model = DEFAULT_DRAFT_MODEL_STANDALONE
base_url = DEFAULT_URL_FOR_TEST
accuracy_threshold = 0.69 # derived tests need to override this
spec_decode_threshold = 3.6 # derived spec decoding tests need to override this
@classmethod
def get_server_args(cls):
"""Return the arguments for the server launch. Override in subclasses."""
return DEFAULT_SERVER_ARGS + ["--attention-backend", "fa3"]
@classmethod
def setUpClass(cls):
# disable deep gemm precompile to make launch server faster
# please don't do this if you want to make your inference workload faster
envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.set(False)
envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(False)
envs.SGLANG_ENABLE_SPEC_V2.set(False)
model = cls.model
cls.process = popen_launch_server(
model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=cls.get_server_args(),
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
envs.SGLANG_ENABLE_SPEC_V2.clear()
def test_gsm8k(self):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=100,
num_threads=128,
num_shots=4,
gsm8k_data_path=GSM_DATASET_PATH,
)
metrics = run_eval(args)
print(f"{metrics=}")
# Use the appropriate metric key based on the test class
metric_key = "score"
self.assertGreaterEqual(metrics[metric_key], self.accuracy_threshold)
server_info = requests.get(self.base_url + "/server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
"avg_spec_accept_length"
]
print(f"{avg_spec_accept_length=}")
self.assertGreater(avg_spec_accept_length, self.spec_decode_threshold)
class TestStandaloneV2SpeculativeDecodingBase(CustomTestCase):
model = DEFAULT_TARGET_MODEL_STANDALONE
draft_model = DEFAULT_DRAFT_MODEL_STANDALONE
base_url = DEFAULT_URL_FOR_TEST
accuracy_threshold = 0.69 # derived tests need to override this
spec_decode_threshold = 3.6 # derived spec decoding tests need to override this
@classmethod
def get_server_args(cls):
"""Return the arguments for the server launch. Override in subclasses."""
return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "fa3"]
@classmethod
def setUpClass(cls):
# disable deep gemm precompile to make launch server faster
# please don't do this if you want to make your inference workload faster
envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.set(False)
envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(False)
model = cls.model
cls.process = popen_launch_server(
model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=cls.get_server_args(),
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=100,
num_threads=128,
num_shots=4,
gsm8k_data_path=GSM_DATASET_PATH,
)
metrics = run_eval(args)
print(f"{metrics=}")
# Use the appropriate metric key based on the test class
metric_key = "score"
self.assertGreaterEqual(metrics[metric_key], self.accuracy_threshold)
server_info = requests.get(self.base_url + "/server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
"avg_spec_accept_length"
]
print(f"{avg_spec_accept_length=}")
self.assertGreater(avg_spec_accept_length, self.spec_decode_threshold)
class TestStandaloneSpeculativeDecodingTriton(TestStandaloneSpeculativeDecodingBase):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + ["--attention-backend", "triton"]
class TestStandaloneSpeculativeDecodingFlashinfer(
TestStandaloneSpeculativeDecodingBase
):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + ["--attention-backend", "flashinfer"]
class TestStandaloneV2SpeculativeDecodingTriton(
TestStandaloneV2SpeculativeDecodingBase
):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "triton"]
def test_radix_attention(self):
run_radix_attention_test(self.base_url)
assert self.process.poll() is None
class TestStandaloneV2SpeculativeDecodingFlashinfer(
TestStandaloneV2SpeculativeDecodingBase
):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "flashinfer"]
if __name__ == "__main__":
unittest.main()