97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
"""
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Usage:
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python3 -m unittest test_ascend_mla_backend.TestAscendMLABackend.test_gsm8k
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"""
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import os
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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 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_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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CustomTestCase,
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is_in_ci,
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popen_launch_server,
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run_bench_offline_throughput,
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)
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if "ASCEND_RT_VISIBLE_DEVICES" not in os.environ:
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os.environ["ASCEND_RT_VISIBLE_DEVICES"] = "0,1,2,3"
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DEFAULT_PORT_FOR_SRT_TEST_RUNNER = (
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7000 + int(os.environ.get("ASCEND_RT_VISIBLE_DEVICES", "0")[0]) * 100
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)
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DEFAULT_URL_FOR_TEST = f"http://127.0.0.1:{DEFAULT_PORT_FOR_SRT_TEST_RUNNER + 1000}"
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DEFAULT_MODEL_NAME_FOR_TEST = "/models/DeepSeek-V2-Lite-Chat"
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if not os.path.exists(DEFAULT_MODEL_NAME_FOR_TEST):
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DEFAULT_MODEL_NAME_FOR_TEST = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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class TestAscendMLABackend(CustomTestCase):
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def test_latency(self):
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output_throughput = run_bench_offline_throughput(
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DEFAULT_MODEL_NAME_FOR_TEST,
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[
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"--attention-backend",
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"ascend",
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"--mem-fraction-static",
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0.7,
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"--tp-size",
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"4",
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"--trust-remote-code",
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"--disable-cuda-graph",
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],
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)
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print(f"{output_throughput=}")
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if is_in_ci():
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self.assertGreater(output_throughput, 18)
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def test_gsm8k(self):
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model = DEFAULT_MODEL_NAME_FOR_TEST
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base_url = DEFAULT_URL_FOR_TEST
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url = urlparse(base_url)
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process = popen_launch_server(
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model,
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base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--attention-backend",
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"ascend",
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"--mem-fraction-static",
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0.7,
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"--tp-size",
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"4",
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"--trust-remote-code",
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"--disable-cuda-graph",
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],
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)
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try:
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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=128,
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max_new_tokens=512,
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parallel=128,
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host=f"http://{url.hostname}",
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port=int(url.port),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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self.assertGreaterEqual(metrics["accuracy"], 0.62)
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self.assertGreaterEqual(metrics["output_throughput"], 50)
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finally:
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kill_process_tree(process.pid)
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if __name__ == "__main__":
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unittest.main()
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