153 lines
4.8 KiB
Python
153 lines
4.8 KiB
Python
import os
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import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.model_executor.forward_batch_info import ForwardMode
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from sglang.srt.two_batch_overlap import (
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compute_split_seq_index,
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compute_split_token_index,
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)
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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_ENABLE_THINKING_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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popen_launch_server,
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)
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class TestTwoBatchOverlap(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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"--moe-a2a-backend",
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"deepep",
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"--deepep-mode",
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"normal",
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"--disable-cuda-graph", # DeepEP normal does not support CUDA Graph
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"--enable-two-batch-overlap",
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],
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env={"SGL_ENABLE_JIT_DEEPGEMM": "0", **os.environ},
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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_generate_single_prompt(self):
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response = requests.post(
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self.base_url + "/generate",
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# we use an uncommon start to minimise the chance that the cache is hit by chance
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json={
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"text": "_ 1+1=2, 1+2=3, 1+3=4, 1+4=",
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"sampling_params": {"temperature": 0, "max_new_tokens": 8},
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},
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)
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print(f"{response.json()=}")
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self.assertEqual(response.json()["text"], "5, 1+5=6")
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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 TestTwoBatchOverlapUnitTest(unittest.TestCase):
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def test_compute_split_seq_and_token_index(self):
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for num_tokens, expect in [
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(0, 0),
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(100, 50),
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(99, 49),
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]:
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actual = compute_split_seq_index(
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forward_mode=ForwardMode.DECODE,
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num_tokens=num_tokens,
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extend_lens=None,
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token_num_per_seq=1,
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)
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self.assertEqual(actual, expect)
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for extend_lens, expect in [
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([], (0, 0)),
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([42], (0, 21)),
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([42, 999], (1, 520)),
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([999, 42], (0, 520)),
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([498, 502], (1, 498)),
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([4096, 4096, 4096, 4096], (2, 8192)),
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([4095, 4096, 4096, 4096, 1], (2, 8191)),
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([1, 4095, 4096, 4096, 4096], (3, 8192)),
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([4097, 4096, 4096, 4095, 1], (2, 8193)),
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([1, 1, 1, 1, 99999], (4, 50001)),
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([99999, 1, 1, 1, 1], (0, 50001)),
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]:
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actual_seq_idx = compute_split_seq_index(
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forward_mode=ForwardMode.EXTEND,
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num_tokens=None,
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extend_lens=extend_lens,
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token_num_per_seq=None,
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)
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actual_token_idx = compute_split_token_index(
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split_seq_index=actual_seq_idx,
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forward_mode=ForwardMode.EXTEND,
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extend_seq_lens=extend_lens,
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token_num_per_seq=None,
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)
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actual = (actual_seq_idx, actual_token_idx)
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print(f"{extend_lens=} {expect=} {actual=}")
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self.assertEqual(actual, expect)
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class TestQwen3TwoBatchOverlap(TestTwoBatchOverlap):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_ENABLE_THINKING_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.api_key = "sk-1234"
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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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"--moe-a2a-backend",
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"deepep",
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"--deepep-mode",
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"normal",
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"--disable-cuda-graph", # DeepEP normal does not support CUDA Graph
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"--enable-two-batch-overlap",
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],
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env={"SGL_ENABLE_JIT_DEEPGEMM": "0", **os.environ},
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)
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if __name__ == "__main__":
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unittest.main()
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