[Main2Main] Upgrade vllm commit to 0113 (#5839)

### What this PR does / why we need it?
Upgrade vllm commit to 0113 (11b6af5280d6d6dfb8953af16e67b25f819b3be9)

- Modify import paths due to the refactors
https://github.com/vllm-project/vllm/pull/31916
https://github.com/vllm-project/vllm/pull/32054

- Fix `TypeError: NPUOffloadingSpec.__init__() takes 2 positional
arguments but 3 were given` due to
https://github.com/vllm-project/vllm/pull/24498

- Skip the async-scheduling tests in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are never
verified
https://github.com/vllm-project/vllm/pull/31998

- Skip some pooling tests, which are caused by
https://github.com/vllm-project/vllm/pull/32148
where vllm is also failed
https://buildkite.com/vllm/ci/builds/46705/steps/canvas?jid=019bb329-3834-4685-862b-1613b8e0f5d4

We will reopen those tests when main2main reachs
https://github.com/vllm-project/vllm/pull/32243

- Skip some cases in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are
broken by
https://github.com/vllm-project/vllm/pull/32118

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
This commit is contained in:
wjunLu
2026-01-15 09:48:53 +08:00
committed by GitHub
parent e67608041d
commit c11a05c4e1
29 changed files with 229 additions and 54 deletions

View File

@@ -5,6 +5,8 @@ import torch
import torch.nn.functional as F
from modelscope import snapshot_download # type: ignore[import-untyped]
from vllm_ascend.utils import vllm_version_is
from tests.e2e.conftest import HfRunner, VllmRunner
CROSS_ENCODER_MODELS = [
@@ -33,7 +35,10 @@ DTYPE = "half"
def model_name(request):
yield snapshot_download(request.param)
@pytest.mark.skipif(
not vllm_version_is('0.13.0'),
reason="vLLM PR-32148 changed the behavior of cross scoring",
)
def test_cross_encoder_score_1_to_1(model_name):
text_pair = [TEXTS_1[0], TEXTS_2[0]]
@@ -53,6 +58,10 @@ def test_cross_encoder_score_1_to_1(model_name):
assert hf_outputs[0] == pytest.approx(vllm_outputs[0], rel=0.01)
@pytest.mark.skipif(
not vllm_version_is('0.13.0'),
reason="vLLM PR-32148 changed the behavior of cross scoring",
)
def test_cross_encoder_score_1_to_N(model_name):
text_pairs = [
[TEXTS_1[0], TEXTS_2[0]],
@@ -76,6 +85,10 @@ def test_cross_encoder_score_1_to_N(model_name):
assert hf_outputs[1] == pytest.approx(vllm_outputs[1], rel=0.01)
@pytest.mark.skipif(
not vllm_version_is('0.13.0'),
reason="vLLM PR-32148 changed the behavior of cross scoring",
)
def test_cross_encoder_score_N_to_N(model_name):
text_pairs = [
[TEXTS_1[0], TEXTS_2[0]],