118 lines
3.4 KiB
Python
118 lines
3.4 KiB
Python
import json
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import os
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import unittest
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from types import SimpleNamespace
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from sglang.srt.utils import kill_process_tree
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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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 TestPureTP(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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"2",
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"--enable-deepep-moe",
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"--disable-cuda-graph",
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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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self.assertGreater(metrics["score"], 0.5)
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class TestDPAttn(unittest.TestCase):
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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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"2",
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"--dp",
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"2",
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"--enable-dp-attention",
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"--enable-deepep-moe",
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"--deepep-mode",
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"normal",
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"--disable-cuda-graph",
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# Test custom config
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"--deepep-config",
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json.dumps(
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{
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"normal_dispatch": {
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"num_sms": 20,
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"num_max_nvl_chunked_send_tokens": 16,
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"num_max_nvl_chunked_recv_tokens": 256,
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"num_max_rdma_chunked_send_tokens": 6,
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"num_max_rdma_chunked_recv_tokens": 128,
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},
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"normal_combine": {
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"num_sms": 20,
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"num_max_nvl_chunked_send_tokens": 6,
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"num_max_nvl_chunked_recv_tokens": 256,
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"num_max_rdma_chunked_send_tokens": 6,
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"num_max_rdma_chunked_recv_tokens": 128,
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},
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}
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),
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],
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env={
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"SGL_ENABLE_JIT_DEEPGEMM": "0",
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**os.environ,
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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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self.assertGreater(metrics["score"], 0.5)
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if __name__ == "__main__":
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unittest.main()
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