Hanrui / sglang /test /registered /spec /test_ngram_speculative_decoding.py
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import unittest
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.gsm8k_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,
)
register_cuda_ci(est_time=230, suite="stage-b-test-large-1-gpu")
GSM_DATASET_PATH = None
# 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 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"]
class TestNgramSpeculativeDecodingPaged(TestNgramSpeculativeDecodingBase):
@classmethod
def get_server_args(cls):
return DEFAULT_SERVER_ARGS + [
"--attention-backend",
"flashinfer",
"--page-size",
"64",
]
if __name__ == "__main__":
unittest.main()