[NPU]Add a full test pipeline on NPU, resolve issues in the NPU test architecture (#20751)
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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.ci.ci_register import register_npu_ci
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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_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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register_npu_ci(est_time=400, suite="stage-b-test-16-npu-a3", nightly=False)
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register_npu_ci(est_time=400, suite="nightly-16-npu-a3", nightly=True)
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TEST_MODEL_MATRIX = {
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"/root/.cache/modelscope/hub/models/vllm-ascend/DeepSeek-R1-0528-W8A8": {
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"accuracy": 0.95,
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"latency": 1000,
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"output_throughput": 6,
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},
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}
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class TestAscendDeepEP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.models = TEST_MODEL_MATRIX.keys()
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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.common_args = [
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"--trust-remote-code",
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"--attention-backend",
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"ascend",
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"--mem-fraction-static",
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0.8,
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"--disable-radix-cache",
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"--chunked-prefill-size",
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32768,
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"--tp-size",
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16,
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"--dp-size",
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1,
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"--ep-size",
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16,
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"--max-running-requests",
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24,
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"--moe-a2a-backend",
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"deepep",
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"--deepep-mode",
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"auto",
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]
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cls.extra_envs = {
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"HCCL_BUFFSIZE": "1000",
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "32",
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"SGLANG_NPU_USE_MLAPO": "1",
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}
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os.environ.update(cls.extra_envs)
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def test_a_gsm8k(self):
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for model in self.models:
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with self.subTest(model=model):
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print(f"##=== Testing accuracy: {model} ===##")
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process = popen_launch_server(
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model,
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self.base_url,
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timeout=2400,
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other_args=[
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*self.common_args,
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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=500,
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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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TEST_MODEL_MATRIX[model]["accuracy"],
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)
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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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