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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

116 lines
3.9 KiB
Python

import json
import random
import time
import requests
from sglang.srt.utils.common import kill_process_tree
from sglang.test.test_utils import (
DEFAULT_DRAFT_MODEL_EAGLE,
DEFAULT_TARGET_MODEL_EAGLE,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
PROMPTS = [
"[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nToday is a sunny day and I like[/INST]"
'[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nWhat are the mental triggers in Jeff Walker\'s Product Launch Formula and "Launch" book?[/INST]',
"[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nSummarize Russell Brunson's Perfect Webinar Script...[/INST]",
"[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwho are you?[/INST]",
"[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwhere are you from?[/INST]",
]
class EagleServerBase(CustomTestCase):
target_model = DEFAULT_TARGET_MODEL_EAGLE
draft_model = DEFAULT_DRAFT_MODEL_EAGLE
spec_algo = "EAGLE"
spec_steps = 5
spec_topk = 8
spec_tokens = 64
mem_fraction_static = 0.7
extra_args = []
@classmethod
def setUpClass(cls):
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.target_model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
f"--speculative-algorithm={cls.spec_algo}",
f"--speculative-draft-model-path={cls.draft_model}",
f"--speculative-num-steps={cls.spec_steps}",
f"--speculative-eagle-topk={cls.spec_topk}",
f"--speculative-num-draft-tokens={cls.spec_tokens}",
f"--mem-fraction-static={cls.mem_fraction_static}",
]
+ cls.extra_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid, wait_timeout=60)
def send_request(self):
time.sleep(random.uniform(0, 2))
for prompt in PROMPTS:
url = self.base_url + "/generate"
data = {
"text": prompt,
"sampling_params": {
"temperature": 0,
"max_new_tokens": 1024,
},
}
response = requests.post(url, json=data)
assert response.status_code == 200
def send_requests_abort(self):
for prompt in PROMPTS:
try:
time.sleep(random.uniform(0, 2))
url = self.base_url + "/generate"
data = {
"model": "base",
"text": prompt,
"sampling_params": {
"temperature": 0,
"max_new_tokens": 1024,
},
}
# set timeout = 1s, mock disconnected
requests.post(url, json=data, timeout=1)
except Exception as e:
print(e)
pass
def run_decode(self, sampling_params):
return_logprob = True
top_logprobs_num = 5
return_text = True
n = 1
response = requests.post(
self.base_url + "/generate",
json={
"text": "Human: Write a travel blog post to Hawaii.\n\nAssistant:",
"sampling_params": {
"max_new_tokens": 48,
"n": n,
"temperature": 0.7,
**sampling_params,
},
"return_logprob": return_logprob,
"top_logprobs_num": top_logprobs_num,
"return_text_in_logprobs": return_text,
"logprob_start_len": 0,
},
)
self.assertEqual(response.status_code, 200)
print(json.dumps(response.json()))
print("=" * 100)