90 lines
2.5 KiB
Python
90 lines
2.5 KiB
Python
import unittest
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from urllib.parse import urlparse
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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.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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SimpleNamespace,
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popen_launch_server,
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run_bench_one_batch,
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)
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MODEL = "/root/.cache/modelscope/hub/models/Qwen/Qwen2.5-7B-Instruct"
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GSM8K_EXP_ACCURACY = 0.84
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EXP_PREFILL_LATENCY = 0.045
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TOKENS_TO_CAPTURE = [i for i in range(128, 4096, 128)]
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class TestPiecewiseGraphPrefillCorrectness(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = MODEL
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.url = urlparse(DEFAULT_URL_FOR_TEST)
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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=[
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"--trust-remote-code",
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"--mem-fraction-static",
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0.8,
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"--attention-backend",
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"ascend",
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"--cuda-graph-bs",
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128,
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"--enable-piecewise-cuda-graph",
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"--piecewise-cuda-graph-tokens",
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*TOKENS_TO_CAPTURE,
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],
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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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print(f"##=== Testing accuracy: {self.model} ===##")
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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=1319,
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max_new_tokens=512,
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parallel=128,
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host=f"http://{self.url.hostname}",
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port=int(self.url.port),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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self.assertGreaterEqual(
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metrics["accuracy"],
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GSM8K_EXP_ACCURACY,
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)
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class TestPiecewiseGraphPrefillBenchmark(CustomTestCase):
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def test_latency(self):
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print(f"##=== Testing prefill latency: {MODEL} ===##")
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prefill_latency, _, _ = run_bench_one_batch(
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MODEL,
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other_args=[
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"--trust-remote-code",
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"--mem-fraction-static",
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0.8,
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"--attention-backend",
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"ascend",
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"--enable-piecewise-cuda-graph",
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"--piecewise-cuda-graph-tokens",
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]
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+ TOKENS_TO_CAPTURE,
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)
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self.assertLess(prefill_latency, EXP_PREFILL_LATENCY)
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if __name__ == "__main__":
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unittest.main()
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