[Test] split test/registered/distributed/ into topic folders (#26240)
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import unittest
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import requests
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from sglang.lang.chat_template import get_chat_template_by_model_path
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from sglang.srt.environ import envs
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.kits.ebnf_constrained_kit import EBNFConstrainedMixin
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from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
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from sglang.test.kits.json_constrained_kit import JSONConstrainedMixin
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from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test
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from sglang.test.kits.regex_constrained_kit import RegexConstrainedMixin
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from sglang.test.test_utils import (
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DEFAULT_IMAGE_URL,
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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DEFAULT_MODEL_NAME_FOR_TEST_MLA,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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register_cuda_ci(est_time=420, stage="base-b", runner_config="2-gpu-large")
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class TestDPAttentionDP2TP2(
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CustomTestCase,
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GSM8KMixin,
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JSONConstrainedMixin,
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EBNFConstrainedMixin,
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RegexConstrainedMixin,
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):
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gsm8k_accuracy_thres = 0.6
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls._env_override = envs.SGLANG_DISABLE_CONSECUTIVE_PREFILL_OVERLAP.override(
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True
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)
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cls._env_override.__enter__()
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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-dp-attention",
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"--dp",
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"2",
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"--enable-torch-compile",
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"--torch-compile-max-bs",
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"2",
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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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cls._env_override.__exit__(None, None, None)
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class TestDPAttentionMixedChunk(
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CustomTestCase,
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GSM8KMixin,
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):
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gsm8k_accuracy_thres = 0.6
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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-dp-attention",
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"--dp",
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"2",
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"--enable-mixed-chunk",
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"--chunked-prefill-size",
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"256",
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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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class TestDPRetract(
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CustomTestCase,
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JSONConstrainedMixin,
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EBNFConstrainedMixin,
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RegexConstrainedMixin,
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):
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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-dp-attention",
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"--dp",
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"2",
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"--max-total-tokens",
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"4500",
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"--max-running-requests",
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"128",
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"--chunked-prefill-size",
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"256",
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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_radix_attention(self):
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with envs.SGLANG_TEST_RETRACT.override(True):
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run_radix_attention_test(self.base_url)
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self.assertIsNone(self.process.poll())
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class TestDPAttentionDP2TP2VLM(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.image_url = DEFAULT_IMAGE_URL
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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-dp-attention",
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"--dp",
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"2",
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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_vlm_generate(self):
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chat_template = get_chat_template_by_model_path(self.model)
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prompt = f"{chat_template.image_token}What is in this image?"
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": prompt,
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"image_data": [self.image_url],
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 16,
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},
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},
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)
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response.raise_for_status()
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response_json = response.json()
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print(response_json)
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self.assertIn("output_ids", response_json)
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self.assertGreater(len(response_json["output_ids"]), 0)
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if __name__ == "__main__":
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unittest.main()
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