Files
sglang/test/srt/test_eagle_infer.py
yukavio 815dce0554 Eagle speculative decoding part 4: Add EAGLE2 worker (#2150)
Co-authored-by: kavioyu <kavioyu@tencent.com>
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
2025-01-02 03:22:34 -08:00

40 lines
1.1 KiB
Python

import unittest
import sglang as sgl
class TestEAGLEEngine(unittest.TestCase):
def test_eagle_accuracy(self):
prompt = "Today is a sunny day and I like"
target_model_path = "meta-llama/Llama-2-7b-chat-hf"
speculative_draft_model_path = "lmzheng/sglang-EAGLE-llama2-chat-7B"
sampling_params = {"temperature": 0, "max_new_tokens": 8}
engine = sgl.Engine(
model_path=target_model_path,
speculative_draft_model_path=speculative_draft_model_path,
speculative_algorithm="EAGLE",
speculative_num_steps=3,
speculative_eagle_topk=4,
speculative_num_draft_tokens=16,
)
out1 = engine.generate(prompt, sampling_params)["text"]
engine.shutdown()
engine = sgl.Engine(model_path=target_model_path)
out2 = engine.generate(prompt, sampling_params)["text"]
engine.shutdown()
print("==== Answer 1 ====")
print(out1)
print("==== Answer 2 ====")
print(out2)
self.assertEqual(out1, out2)
if __name__ == "__main__":
unittest.main()