ci: prune per-commit CUDA tests — move 25 files + 13 testcases to test/manual/ (#24721)
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"""Archived test classes split out of test/registered/distributed/test_dp_attention.py.
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Originally registered with `register_cuda_ci(...)`. Moved here as part of
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the per-commit pruning effort to keep the code reachable manually.
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Run with `python3 test/manual/distributed/test_dp_attention_archived.py`.
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"""
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import unittest
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from types import SimpleNamespace
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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.kits.ebnf_constrained_kit import EBNFConstrainedMixin
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from sglang.test.kits.json_constrained_kit import JSONConstrainedMixin
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from sglang.test.kits.regex_constrained_kit import RegexConstrainedMixin
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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_MODEL_NAME_FOR_TEST_MLA,
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DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
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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_amd_ci,
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popen_launch_server,
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)
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class TestDPAttentionDP2TP2DeepseekV3MTP(
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CustomTestCase,
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JSONConstrainedMixin,
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EBNFConstrainedMixin,
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RegexConstrainedMixin,
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):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--disable-radix",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"2",
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"--speculative-eagle-topk",
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"4",
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"--speculative-num-draft-tokens",
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"4",
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"--speculative-draft-model-path",
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DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
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"--tp-size",
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"2",
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"--enable-dp-attention",
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"--dp-size",
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"2",
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]
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if not is_in_amd_ci():
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other_args += ["--mem-frac", "0.7"]
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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=other_args,
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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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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(metrics)
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self.assertGreater(metrics["score"], 0.60)
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(
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f"###test_gsm8k (deepseek-v3 mtp + dp):\n"
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f"accuracy={metrics['score']=:.3f}\n"
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f"{avg_spec_accept_length=:.3f}\n"
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)
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self.assertGreater(avg_spec_accept_length, 2.5)
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if __name__ == "__main__":
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unittest.main()
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