Cheng WanandClaude Sonnet 4.6
8131641bc6
Co-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
import unittest
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from types import SimpleNamespace
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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.run_eval import run_eval
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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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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=720, stage="base-c", runner_config="8-gpu-h200", nightly=True)
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GLM5_MODEL_PATH = "zai-org/GLM-5-FP8"
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class TestGLM5DPHiSparse(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = GLM5_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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"--dp",
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"8",
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"--enable-dp-attention",
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"--page-size",
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"64",
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"--max-running-requests",
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"200",
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"--mem-fraction-static",
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"0.85",
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"--disable-radix-cache",
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"--kv-cache-dtype",
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"bfloat16",
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"--dsa-decode-backend",
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"flashmla_sparse",
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"--enable-hisparse",
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"--hisparse-config",
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'{"top_k": 2048, "device_buffer_size": 4096, "host_to_device_ratio": 5}',
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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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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=7200,
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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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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=4000,
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num_examples=500,
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num_threads=100,
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num_shots=24,
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)
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metrics = run_eval(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_gsm8k (glm-5 hisparse)\n" f'{metrics["score"]=:.3f}\n'
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)
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self.assertGreater(metrics["score"], 0.94)
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if __name__ == "__main__":
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unittest.main()
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