[Feat]support sequence parallelism by pass for VL models (#5632)

This commit is contained in:
realliujiaxu
2026-02-27 08:27:41 +08:00
committed by GitHub
parent ed175d6d92
commit 5def28dcd3
22 changed files with 460 additions and 101 deletions

View File

@@ -0,0 +1,64 @@
import os
import pytest
from vllm import SamplingParams
from tests.e2e.conftest import VllmRunner
from tests.e2e.model_utils import check_outputs_equal
MODELS = [
"Qwen/Qwen3-VL-2B-Instruct",
]
@pytest.mark.parametrize("model", MODELS)
def test_qwen3_vl_sp_tp2(model: str) -> None:
prompts = [
"Hello, my name is", "The capital of the United States is",
"The capital of France is", "The future of AI is"
]
sampling_params = SamplingParams(max_tokens=10, temperature=0.0)
with VllmRunner(
model,
max_model_len=1024,
tensor_parallel_size=2,
compilation_config={
"cudagraph_capture_sizes": [2, 4],
"cudagraph_mode": "FULL_DECODE_ONLY",
"pass_config": {"enable_sp": False}
},
additional_config={"npugraph_ex_config": {"enable": False}}
) as runner:
no_sp_outputs = runner.model.generate(prompts, sampling_params)
with VllmRunner(
model,
max_model_len=1024,
tensor_parallel_size=2,
compilation_config={
"cudagraph_capture_sizes": [2, 4],
"cudagraph_mode": "FULL_DECODE_ONLY",
"pass_config": {"enable_sp": True}
},
additional_config={"sp_threshold": 10, "npugraph_ex_config": {"enable": False}}
) as runner:
sp_outputs = runner.model.generate(
prompts, sampling_params)
no_sp_outputs_list = []
for output in no_sp_outputs:
no_sp_outputs_list.append(
(output.outputs[0].index, output.outputs[0].text))
sp_outputs_list = []
for output in sp_outputs:
sp_outputs_list.append(
(output.outputs[0].index, output.outputs[0].text))
check_outputs_equal(
outputs_0_lst=no_sp_outputs_list,
outputs_1_lst=sp_outputs_list,
name_0="no_sp_outputs",
name_1="sp_outputs",
)