ba214ef3d3
Co-authored-by: hnyls2002 <lsyincs@gmail.com> Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
87 lines
2.6 KiB
Python
87 lines
2.6 KiB
Python
import unittest
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from types import SimpleNamespace
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from urllib.parse import urlparse
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from sglang.srt.utils import get_device_sm, kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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try_cached_model,
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)
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register_cuda_ci(est_time=146, stage="extra-a", runner_config="1-gpu-small")
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PERTENSOR_MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-FP8"
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BLOCKWISE_MODEL_PATH = "Qwen/Qwen3-4B-Instruct-2507-FP8"
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class FP8GemmSM120Base:
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model_path = None
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backend = None
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quantization = None
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@classmethod
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def setUpClass(cls):
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if cls.backend is None:
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raise NotImplementedError("Subclass must set 'backend' attribute")
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cls.model = try_cached_model(cls.model_path)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--fp8-gemm-backend",
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cls.backend,
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"--disable-piecewise-cuda-graph",
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]
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if cls.quantization:
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other_args += ["--quantization", cls.quantization]
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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)
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@classmethod
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def tearDownClass(cls):
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if hasattr(cls, "process"):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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parsed_url = urlparse(self.base_url)
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args = SimpleNamespace(
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num_shots=self.num_shots,
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data_path=None,
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num_questions=1319,
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max_new_tokens=512,
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parallel=200,
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host=parsed_url.hostname,
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port=parsed_url.port,
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"{metrics=}")
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self.assertGreaterEqual(metrics["accuracy"], self.accuracy_threshold)
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@unittest.skipIf(get_device_sm() < 100, "Test requires CUDA SM 100 or higher")
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class TestFP8PerTensorGemmSM120Auto(FP8GemmSM120Base, unittest.TestCase):
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model_path = PERTENSOR_MODEL_PATH
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backend = "auto"
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quantization = "modelopt_fp8"
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num_shots = 5
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accuracy_threshold = 0.73
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@unittest.skipIf(get_device_sm() < 100, "Test requires CUDA SM 100 or higher")
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class TestFP8BlockwiseGemmSM120Auto(FP8GemmSM120Base, unittest.TestCase):
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model_path = BLOCKWISE_MODEL_PATH
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backend = "auto"
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num_shots = 8
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accuracy_threshold = 0.87
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if __name__ == "__main__":
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unittest.main()
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