62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
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={"ascend_compilation_config": {"enable_npugraph_ex": 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, "sp_min_token_num": 10},
|
|
},
|
|
additional_config={"ascend_compilation_config": {"enable_npugraph_ex": 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",
|
|
)
|