105 lines
2.8 KiB
Python
105 lines
2.8 KiB
Python
"""
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Usage:
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python3 -m unittest test_ascend_w8a8_quantization.TestAscendW8A8.test_gsm8k
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"""
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import os
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import time
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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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import requests
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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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is_in_ci,
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popen_launch_server,
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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"
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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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class TestAscendW8A8(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "vllm-ascend/Qwen2.5-0.5B-Instruct-w8a8"
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cls.base_url = 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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"--disable-cuda-graph",
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"--device",
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"npu",
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"--attention-backend",
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"ascend",
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"--quantization",
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"w8a8_int8",
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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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base_url = DEFAULT_URL_FOR_TEST
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url = urlparse(base_url)
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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=f"http://{url.hostname}",
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port=int(url.port),
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)
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metrics = run_eval(args)
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print(metrics)
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self.assertGreaterEqual(metrics["accuracy"], 0.25)
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self.assertGreaterEqual(metrics["output_throughput"], 1000)
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def run_decode(self, max_new_tokens):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": "The capital of France is",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": max_new_tokens,
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},
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"ignore_eos": True,
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},
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)
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return response.json()
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def test_throughput(self):
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max_tokens = 256
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tic = time.perf_counter()
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res = self.run_decode(max_tokens)
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tok = time.perf_counter()
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print(res["text"])
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throughput = max_tokens / (tok - tic)
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print(f"Throughput: {throughput} tokens/s")
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if is_in_ci():
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self.assertGreaterEqual(throughput, 25)
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if __name__ == "__main__":
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unittest.main()
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