158 lines
4.7 KiB
Python
158 lines
4.7 KiB
Python
import unittest
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from types import SimpleNamespace
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from sglang.srt.environ import envs
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_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_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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write_github_step_summary,
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)
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register_cuda_ci(est_time=360, suite="stage-c-test-8-gpu-h200")
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DEEPSEEK_V32_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2"
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class TestDeepseekV32CPInSeqSplit(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V32_MODEL_PATH
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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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"--tp",
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"8",
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"--enable-dp-attention",
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"--dp",
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"2",
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"--attn-cp-size",
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"4",
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"--enable-nsa-prefill-context-parallel",
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"--nsa-prefill-cp-mode",
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"in-seq-split",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--mem-frac",
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"0.7",
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"--cuda-graph-max-bs",
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"32",
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"--max-running-requests",
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"32",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 64}',
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]
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with envs.SGLANG_ENABLE_SPEC_V2.override(True):
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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_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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args = SimpleNamespace(
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num_shots=20,
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data_path=None,
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num_questions=500,
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parallel=32,
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max_new_tokens=512,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"{metrics=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_a_gsm8k (deepseek-v32-cp-in-seq-split)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.935)
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class TestDeepseekV32CPRoundRobinSplit(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V32_MODEL_PATH
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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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"--tp",
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"8",
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"--attn-cp-size",
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"8",
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"--enable-nsa-prefill-context-parallel",
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"--nsa-prefill-cp-mode",
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"round-robin-split",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--mem-frac",
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"0.7",
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"--cuda-graph-max-bs",
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"32",
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"--max-running-requests",
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"32",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 64}',
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]
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with envs.SGLANG_ENABLE_SPEC_V2.override(True):
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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_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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args = SimpleNamespace(
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num_shots=20,
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data_path=None,
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num_questions=500,
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parallel=32,
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max_new_tokens=512,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"{metrics=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_a_gsm8k (deepseek-v32-cp-in-seq-split)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.935)
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if __name__ == "__main__":
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unittest.main()
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