3469 lines
92 KiB
Python
3469 lines
92 KiB
Python
# Comprehensive test for hybrid parallelism (DP/TP attention, DP/TP Dense FFN, TP/EP Sparse FFN, DP/VP LM head) plus speculative decoding.
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# These tests are not run by default but can be launched on demand.
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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.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST,
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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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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class Test0(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--trust-remote-code",
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"--tp",
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"8",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test1(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--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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"4",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test2(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--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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"8",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test3(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--trust-remote-code",
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"--tp",
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"8",
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"--moe-dense-tp-size",
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"1",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test4(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--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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"4",
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"--moe-dense-tp-size",
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"1",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test5(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--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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"8",
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"--moe-dense-tp-size",
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"1",
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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_mmlu(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="mmlu",
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num_examples=64,
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num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
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num_examples=None,
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num_threads=1024,
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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"], 0.8)
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class Test6(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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=[
|
|
"--trust-remote-code",
|
|
"--tp",
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|
"8",
|
|
"--enable-dp-attention",
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|
"--dp",
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|
"4",
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|
"--enable-dp-lm-head",
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],
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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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|
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def test_mmlu(self):
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args = SimpleNamespace(
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|
base_url=self.base_url,
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|
model=self.model,
|
|
eval_name="mmlu",
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|
num_examples=64,
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|
num_threads=32,
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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"], 0.5)
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def test_mgsm_en(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="mgsm_en",
|
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num_examples=None,
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|
num_threads=1024,
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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"], 0.8)
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|
|
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class Test7(CustomTestCase):
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|
@classmethod
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def setUpClass(cls):
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|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
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|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
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|
],
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|
)
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|
|
@classmethod
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|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
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|
|
|
def test_mmlu(self):
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|
args = SimpleNamespace(
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|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
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|
num_threads=32,
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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"], 0.5)
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def test_mgsm_en(self):
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args = SimpleNamespace(
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|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
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metrics = run_eval(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.8)
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|
|
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class Test8(CustomTestCase):
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|
@classmethod
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def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
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|
print(f"{metrics=}")
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|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test9(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test10(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test11(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test12(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test13(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test14(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test15(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test16(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test17(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test18(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test19(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test20(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test21(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test22(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test23(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test24(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test25(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test26(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test27(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test28(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test29(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test30(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test31(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test32(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test33(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test34(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test35(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test36(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-dp-lm-head",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test37(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test38(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test39(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test40(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test41(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test42(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test43(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test44(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test45(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test46(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test47(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test48(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test49(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test50(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test51(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test52(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test53(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test54(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test55(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test56(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test57(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test58(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"4",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class Test59(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"8",
|
|
"--enable-dp-attention",
|
|
"--dp",
|
|
"8",
|
|
"--moe-dense-tp-size",
|
|
"1",
|
|
"--enable-dp-lm-head",
|
|
"--enable-ep-moe",
|
|
"--speculative-algo",
|
|
"NEXTN",
|
|
"--speculative-draft",
|
|
"lmsys/DeepSeek-V3-0324-NextN",
|
|
"--speculative-num-steps",
|
|
"2",
|
|
"--speculative-eagle-topk",
|
|
"4",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|