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sglang/test/registered/model_loading/test_prefetch_checkpoints_multi_gpu.py
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2026-06-09 21:36:57 -07:00

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Python

import unittest
import sglang as sgl
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=300, suite="nightly-4-gpu")
PROMPTS = [
"Hello, my name is",
"The president of the United States is",
"The capital of France is",
"The future of AI is",
]
class TestPrefetchCheckpointsMultiGPU(CustomTestCase):
"""Verify that --weight-loader-prefetch-checkpoints works with DP attention."""
@classmethod
def setUpClass(cls):
cls.engine = sgl.Engine(
model_path="Qwen/Qwen1.5-MoE-A2.7B-Chat",
tp_size=4,
dp_size=4,
enable_dp_attention=True,
disable_radix_cache=True,
weight_loader_prefetch_checkpoints=True,
cuda_graph_max_bs_decode=1,
max_total_tokens=256,
)
@classmethod
def tearDownClass(cls):
if hasattr(cls, "engine") and cls.engine:
cls.engine.shutdown()
def test_generate_with_prefetch(self):
"""Server launched with prefetch must produce valid output."""
outputs = self.engine.generate(PROMPTS)
self.assertEqual(len(outputs), len(PROMPTS))
for i, output in enumerate(outputs):
text = output["text"]
self.assertIsInstance(text, str)
self.assertGreater(len(text), 0, f"Prompt {i} produced empty output")
if __name__ == "__main__":
unittest.main()