105 lines
3.0 KiB
Python
105 lines
3.0 KiB
Python
import unittest
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from types import SimpleNamespace
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import torch
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from sglang.srt.utils import kill_process_tree
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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.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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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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)
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class TestFlashinferMLA(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(
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[
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"--enable-torch-compile",
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"--cuda-graph-max-bs",
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"2",
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"--enable-flashinfer-mla",
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]
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)
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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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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.62)
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class TestFlashinferMLANoRagged(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(
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[
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"--enable-torch-compile",
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"--disable-cuda-graph",
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"--cuda-graph-max-bs",
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"2",
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"--enable-flashinfer-mla",
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"--flashinfer-mla-disable-ragged",
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]
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)
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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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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.62)
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if __name__ == "__main__":
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unittest.main()
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