151 lines
5.1 KiB
Python
151 lines
5.1 KiB
Python
import os
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import unittest
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import openai
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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.eval_accuracy_kit import GSM8KMixin
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from sglang.test.kits.matched_stop_kit import MatchedStopMixin
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from sglang.test.kits.radix_cache_server_kit import gen_radix_tree
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from sglang.test.test_utils import (
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DEFAULT_DRAFT_MODEL_DFLASH,
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DEFAULT_TARGET_MODEL_DFLASH,
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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=302, suite="stage-b-test-1-gpu-small")
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class TestDFlashServerBase(CustomTestCase, MatchedStopMixin, GSM8KMixin):
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max_running_requests = 64
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attention_backend = "flashinfer"
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page_size = 1
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other_launch_args = []
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model = DEFAULT_TARGET_MODEL_DFLASH
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draft_model = DEFAULT_DRAFT_MODEL_DFLASH
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gsm8k_accuracy_thres = 0.75
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gsm8k_accept_length_thres = 2.8
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@classmethod
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def setUpClass(cls):
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cls.base_url = DEFAULT_URL_FOR_TEST
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launch_args = [
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"--trust-remote-code",
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"--attention-backend",
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cls.attention_backend,
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"--speculative-algorithm",
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"DFLASH",
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"--speculative-draft-model-path",
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cls.draft_model,
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"--page-size",
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str(cls.page_size),
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"--max-running-requests",
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str(cls.max_running_requests),
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"--cuda-graph-bs",
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*[str(i) for i in range(1, cls.max_running_requests + 1)],
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]
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launch_args.extend(cls.other_launch_args)
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old_value = os.environ.get("SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN")
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os.environ["SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN"] = "1"
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try:
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with (
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envs.SGLANG_ENABLE_STRICT_MEM_CHECK_DURING_BUSY.override(1),
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envs.SGLANG_SPEC_NAN_DETECTION.override(True),
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envs.SGLANG_SPEC_OOB_DETECTION.override(True),
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):
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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=launch_args,
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)
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finally:
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if old_value is None:
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del os.environ["SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN"]
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else:
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os.environ["SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN"] = old_value
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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_early_stop(self):
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client = openai.Client(base_url=self.base_url + "/v1", api_key="EMPTY")
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for i in range(8):
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max_tokens = (i % 3) + 1
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response = client.completions.create(
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model=self.model,
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prompt=f"There are {i} apples on the table. How to divide them equally?",
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max_tokens=max_tokens,
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temperature=0,
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)
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text = response.choices[0].text
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print(f"early_stop: max_tokens={max_tokens}, text={text!r}")
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assert self.process.poll() is None
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def test_eos_handling(self):
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client = openai.Client(base_url=self.base_url + "/v1", api_key="EMPTY")
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response = client.chat.completions.create(
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model=self.model,
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messages=[{"role": "user", "content": "Today is a sunny day and I like"}],
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max_tokens=256,
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temperature=0.1,
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)
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text = response.choices[0].message.content
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print(f"eos_handling: text={text!r}")
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self.assertNotIn("<|eot_id|>", text)
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self.assertNotIn("<|end_of_text|>", text)
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assert self.process.poll() is None
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def test_greedy_determinism(self):
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client = openai.Client(base_url=self.base_url + "/v1", api_key="EMPTY")
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prompt = "The capital of France is"
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outputs = []
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for _ in range(2):
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response = client.completions.create(
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model=self.model,
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prompt=prompt,
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max_tokens=32,
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temperature=0,
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)
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outputs.append(response.choices[0].text)
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print(f"determinism: {outputs=}")
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self.assertEqual(outputs[0], outputs[1])
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assert self.process.poll() is None
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class TestDFlashServerPage256(TestDFlashServerBase):
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page_size = 256
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def test_radix_attention(self):
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import requests
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nodes = gen_radix_tree(num_nodes=50)
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data = {
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"input_ids": [node["input_ids"] for node in nodes],
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"sampling_params": [
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{"max_new_tokens": node["decode_len"], "temperature": 0}
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for node in nodes
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],
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}
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res = requests.post(self.base_url + "/generate", json=data)
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assert res.status_code == 200
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assert self.process.poll() is None
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class TestDFlashServerChunkedPrefill(TestDFlashServerBase):
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other_launch_args = ["--chunked-prefill-size", "4"]
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class TestDFlashServerNoCudaGraph(TestDFlashServerBase):
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other_launch_args = ["--disable-cuda-graph"]
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if __name__ == "__main__":
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unittest.main()
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