Hanrui / sglang /test /registered /spec /test_standalone_speculative_decoding.py

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import os
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.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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=308, 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",
    "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 = 0.7  # 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)
        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(
            num_shots=4,
            num_questions=100,
            max_new_tokens=512,
            parallel=128,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
            data_path=GSM_DATASET_PATH,
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        # Use the appropriate metric key based on the test class
        metric_key = "accuracy"
        self.assertGreater(metrics[metric_key], self.accuracy_threshold)

        server_info = requests.get(self.base_url + "/get_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 = 0.7  # 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)
        envs.SGLANG_ENABLE_SPEC_V2.set(True)  # Enable Speculative Decoding V2
        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)
        if "SGLANG_ENABLE_SPEC_V2" in os.environ:
            envs.SGLANG_ENABLE_SPEC_V2.set(False)

    def test_gsm8k(self):
        requests.get(self.base_url + "/flush_cache")

        args = SimpleNamespace(
            num_shots=4,
            num_questions=100,
            max_new_tokens=512,
            parallel=128,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
            data_path=GSM_DATASET_PATH,
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        # Use the appropriate metric key based on the test class
        metric_key = "accuracy"
        self.assertGreater(metrics[metric_key], self.accuracy_threshold)

        server_info = requests.get(self.base_url + "/get_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"]


class TestStandaloneV2SpeculativeDecodingFlashinfer(
    TestStandaloneV2SpeculativeDecodingBase
):
    @classmethod
    def get_server_args(cls):
        return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "flashinfer"]


if __name__ == "__main__":
    unittest.main()

	import os
	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.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
	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=308, 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",
	"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 = 0.7 # 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)
	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(
	num_shots=4,
	num_questions=100,
	max_new_tokens=512,
	parallel=128,
	host="http://127.0.0.1",
	port=int(self.base_url.split(":")[-1]),
	data_path=GSM_DATASET_PATH,
	)
	metrics = run_eval_few_shot_gsm8k(args)
	print(f"{metrics=}")

	# Use the appropriate metric key based on the test class
	metric_key = "accuracy"
	self.assertGreater(metrics[metric_key], self.accuracy_threshold)

	server_info = requests.get(self.base_url + "/get_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 = 0.7 # 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)
	envs.SGLANG_ENABLE_SPEC_V2.set(True) # Enable Speculative Decoding V2
	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)
	if "SGLANG_ENABLE_SPEC_V2" in os.environ:
	envs.SGLANG_ENABLE_SPEC_V2.set(False)

	def test_gsm8k(self):
	requests.get(self.base_url + "/flush_cache")

	args = SimpleNamespace(
	num_shots=4,
	num_questions=100,
	max_new_tokens=512,
	parallel=128,
	host="http://127.0.0.1",
	port=int(self.base_url.split(":")[-1]),
	data_path=GSM_DATASET_PATH,
	)
	metrics = run_eval_few_shot_gsm8k(args)
	print(f"{metrics=}")

	# Use the appropriate metric key based on the test class
	metric_key = "accuracy"
	self.assertGreater(metrics[metric_key], self.accuracy_threshold)

	server_info = requests.get(self.base_url + "/get_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"]


	class TestStandaloneV2SpeculativeDecodingFlashinfer(
	TestStandaloneV2SpeculativeDecodingBase
	):
	@classmethod
	def get_server_args(cls):
	return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "flashinfer"]


	if __name__ == "__main__":
	unittest.main()