Add dpsk-r1-fp4 in nightly perf ci (#16882)
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import unittest
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from sglang.test.accuracy_test_runner import AccuracyTestParams
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.performance_test_runner import PerformanceTestParams
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from sglang.test.run_combined_tests import run_combined_tests
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from sglang.test.test_utils import ModelLaunchSettings
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# Runs on B200 via nightly-4-gpu-b200 suite
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register_cuda_ci(est_time=2000, suite="nightly-4-gpu-b200", nightly=True)
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DEEPSEEK_R1_FP4_MODEL_PATH = "nvidia/DeepSeek-R1-0528-NVFP4-v2"
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class TestDeepseekR1FP4Unified(unittest.TestCase):
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"""Unified test class for DeepSeek-R1-0528-NVFP4-v2 performance and accuracy.
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Two variants:
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- basic: Standard TP=4
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- mtp: TP=4 + EAGLE speculative decoding
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Each variant runs BOTH:
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- Performance test (using NightlyBenchmarkRunner)
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- Accuracy test (using run_eval with mgsm_en)
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"""
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def test_deepseek_r1_fp4_all_variants(self):
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"""Run performance and accuracy for all DeepSeek-R1-0528-NVFP4-v2 variants."""
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# Define base arguments shared by most variants
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base_args = [
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"--tp=4",
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"--trust-remote-code",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true}',
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]
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mtp_args = [
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"--speculative-algorithm=EAGLE",
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"--speculative-num-steps=3",
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"--speculative-eagle-topk=1",
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"--speculative-num-draft-tokens=4",
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"--mem-frac=0.7",
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]
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variants = [
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# Variant: "basic" - Standard TP=4
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ModelLaunchSettings(
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DEEPSEEK_R1_FP4_MODEL_PATH,
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tp_size=4,
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extra_args=base_args,
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variant="TP4",
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),
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# Variant: "mtp" - TP=4 + EAGLE speculative decoding
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ModelLaunchSettings(
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DEEPSEEK_R1_FP4_MODEL_PATH,
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tp_size=4,
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extra_args=base_args + mtp_args,
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variant="TP4+MTP",
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),
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]
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run_combined_tests(
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models=variants,
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test_name="DeepSeek-R1-0528-NVFP4-v2 Unified",
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accuracy_params=AccuracyTestParams(
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dataset="gsm8k", baseline_accuracy=0.935
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),
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performance_params=PerformanceTestParams(
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profile_dir="performance_profiles_deepseek_r1_fp4",
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),
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)
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if __name__ == "__main__":
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unittest.main()
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