75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
import random
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import unittest
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from types import SimpleNamespace
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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
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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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popen_launch_server,
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)
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MODELS = [
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SimpleNamespace(
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model="meta-llama/Llama-4-Scout-17B-16E-Instruct",
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accuracy=0.9,
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tp_size=4,
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),
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]
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class TestLlama4(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = DEFAULT_URL_FOR_TEST
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def test_gsm8k(self):
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for model in MODELS:
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try:
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process = popen_launch_server(
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model.model,
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self.base_url,
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timeout=3 * DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--chat-template",
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"llama-4",
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"--tp-size",
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str(model.tp_size),
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"--mem-fraction-static",
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"0.8",
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"--context-length",
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"8192",
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],
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)
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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(args)
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print(f"{metrics=}")
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self.assertGreaterEqual(metrics["accuracy"], model.accuracy)
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except Exception as e:
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print(f"Error testing {model.model}: {e}")
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self.fail(f"Test failed for {model.model}: {e}")
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finally:
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# Ensure process cleanup happens regardless of success/failure
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if process is not None and process.poll() is None:
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print(f"Cleaning up process {process.pid}")
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try:
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kill_process_tree(process.pid)
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except Exception as e:
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print(f"Error killing process: {e}")
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if __name__ == "__main__":
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unittest.main()
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