353 lines
9.7 KiB
Python
353 lines
9.7 KiB
Python
import os
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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_TIMEOUT_FOR_SERVER_LAUNCH,
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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_cuda_ci(est_time=800, suite="nightly-4-gpu-b200", nightly=True)
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class FlashinferTrtllmGenMoeBackendFP8Base:
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backend = None
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@classmethod
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def setUpClass(cls):
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cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct-FP8"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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env={**os.environ, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
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other_args=[
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"--attention-backend",
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"triton",
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"--moe-runner-backend",
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cls.backend,
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"--tp-size",
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"4",
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"--ep-size",
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"4",
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"--mem-fraction-static",
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"0.7",
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"--mamba-ssm-dtype",
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"bfloat16",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.89)
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class FlashinferTrtllmGenMoeBackendBF16Base:
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backend = None
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@classmethod
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def setUpClass(cls):
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cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=[
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"--attention-backend",
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"triton",
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"--moe-runner-backend",
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cls.backend,
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"--cuda-graph-max-bs-decode",
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"512",
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"--tp-size",
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"4",
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"--ep-size",
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"4",
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"--mem-fraction-static",
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"0.7",
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"--mamba-ssm-dtype",
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"bfloat16",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.93)
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class FlashinferTrtllmGenMoeBackendMXFP8Base:
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backend = None
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@classmethod
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def setUpClass(cls):
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cls.model = "zianglih/Qwen3-30B-A3B-Instruct-2507-MXFP8"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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env={**os.environ, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
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other_args=[
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"--fp8-gemm-backend",
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"flashinfer_cutlass",
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"--moe-runner-backend",
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cls.backend,
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"--tp-size",
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"4",
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"--ep-size",
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"4",
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"--mem-fraction-static",
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"0.7",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.93)
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class FlashinferTrtllmGenMoeBackendMXFP8MixedBF16Base:
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backend = None
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@classmethod
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def setUpClass(cls):
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cls.model = "zianglih/JoyAI-LLM-Flash-MXFP8-last-6-BF16"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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env={**os.environ, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
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other_args=[
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"--kv-cache-dtype",
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"bf16",
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"--fp8-gemm-backend",
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"flashinfer_trtllm",
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"--moe-runner-backend",
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cls.backend,
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"--tp-size",
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"4",
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"--trust-remote-code",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.92)
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class FlashinferTrtllmGenMoeBackendNVFP4Base:
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backend = None
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extra_env = {}
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@classmethod
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def setUpClass(cls):
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cls.model = "nvidia/Qwen3-30B-A3B-NVFP4"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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env={**os.environ, **cls.extra_env, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
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other_args=[
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"--moe-runner-backend",
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cls.backend,
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"--tp-size",
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"4",
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"--ep-size",
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"4",
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"--mem-fraction-static",
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"0.7",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.89)
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class FlashinferTrtllmGenMoeBackendNvFp4OnlineBase:
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backend = None
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extra_env = {}
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@classmethod
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def setUpClass(cls):
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cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct-FP8"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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env={**os.environ, **cls.extra_env, "SGLANG_ENABLE_JIT_DEEPGEMM": "False"},
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other_args=[
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"--attention-backend",
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"triton",
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"--moe-runner-backend",
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cls.backend,
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"--cuda-graph-max-bs-decode",
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"128",
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"--tp-size",
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"4",
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"--ep-size",
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"2",
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"--quantization",
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"nvfp4_online",
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"--mem-fraction-static",
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"0.7",
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"--mamba-ssm-dtype",
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"bfloat16",
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],
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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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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(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.90)
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class TestFlashinferTrtllmGenMoeBackendFP8(
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FlashinferTrtllmGenMoeBackendFP8Base, CustomTestCase
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):
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backend = "flashinfer_trtllm"
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class TestFlashinferTrtllmGenMoeBackendNVFP4(
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FlashinferTrtllmGenMoeBackendNVFP4Base, CustomTestCase
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):
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backend = "flashinfer_trtllm"
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class TestFlashinferTrtllmGenMoeBackendMXFP8Routed(
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FlashinferTrtllmGenMoeBackendMXFP8Base, CustomTestCase
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):
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backend = "flashinfer_trtllm_routed"
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class TestFlashinferTrtllmRoutedMxfp8MixedBF16(
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FlashinferTrtllmGenMoeBackendMXFP8MixedBF16Base, CustomTestCase
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):
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backend = "flashinfer_trtllm_routed"
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class TestFlashinferTrtllmGenMoeBackendBF16Routed(
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FlashinferTrtllmGenMoeBackendBF16Base, CustomTestCase
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):
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backend = "flashinfer_trtllm_routed"
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class TestFlashinferTrtllmGenMoeBackendNvFp4PerTokenActivationRouted(
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FlashinferTrtllmGenMoeBackendNVFP4Base, CustomTestCase
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):
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extra_env = {"SGLANG_FLASHINFER_NVFP4_PER_TOKEN_ACTIVATION": "1"}
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backend = "flashinfer_trtllm_routed"
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class TestFlashinferTrtllmGenMoeBackendNvFp4Online(
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FlashinferTrtllmGenMoeBackendNvFp4OnlineBase, CustomTestCase
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):
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extra_env = {
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"FLASHINFER_NVFP4_4OVER6": "1",
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"FLASHINFER_NVFP4_4OVER6_ERR_MODE": "MSE",
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"FLASHINFER_NVFP4_4OVER6_ERR_USE_FAST_MATH": "1",
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"FLASHINFER_NVFP4_4OVER6_E4M3_USE_256": "1",
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"SGLANG_FP4_IGNORED_LAYERS": ",".join(
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["shared_expert"]
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+ [f"model.layers.{layer_id}" for layer_id in range(40, 48)]
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),
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}
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backend = "flashinfer_trtllm"
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if __name__ == "__main__":
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unittest.main()
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