Add NPU basic function testcases (#19382)
Co-authored-by: cy <chenyang08056032@163.com> Co-authored-by: Cherry_ming <136634645@qq.com>
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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.ascend.test_ascend_utils import (
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QWEN3_8B_EAGLE3_WEIGHTS_PATH,
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QWEN3_8B_WEIGHTS_PATH,
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)
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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="nightly-1-npu-a3", nightly=True)
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class TestNpuEagle3(CustomTestCase):
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"""Testcase: Verify GSM8K inference accuracy ≥0.81 for model with specified EAGLE3 speculative inference parameters.
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[Test Category] Speculative Decoding
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[Test Target] --speculative-draft-model-quantization; --speculative-algorithm; --speculative-draft-model-path; --speculative-num-steps; --speculative-eagle-topk; --speculative-num-draft-tokens; --speculative-attention-mode
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"""
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@classmethod
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def setUpClass(cls):
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cls.model = QWEN3_8B_WEIGHTS_PATH
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cls.accuracy = 0.81
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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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"--disable-radix-cache",
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"--speculative-draft-model-quantization",
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"unquant",
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"--speculative-algorithm",
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"EAGLE3",
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"--speculative-draft-model-path",
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QWEN3_8B_EAGLE3_WEIGHTS_PATH,
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"--speculative-num-steps",
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"4",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"5",
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"--speculative-attention-mode",
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"decode",
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"--tp-size",
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"1",
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"--mem-fraction-static",
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"0.7",
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"--disable-cuda-graph",
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"--dtype",
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"bfloat16",
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]
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cls.extra_envs = {
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"SGLANG_ENABLE_OVERLAP_PLAN_STREAM": "1",
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"SGLANG_ENABLE_SPEC_V2": "1",
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}
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os.environ.update(cls.extra_envs)
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def test_gsm8k(self):
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process = popen_launch_server(
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self.model,
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self.base_url,
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timeout=1500,
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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=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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self.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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