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[Main2Main] Upgrade vllm commit to 0108 #5727

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06965d0
[Main2Main] Upgrade vllm commit to 0107
zhangxinyuehfad Jan 7, 2026
6111062
[Main2Main] Upgrade vllm commit to 0108
zhangxinyuehfad Jan 8, 2026
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12 changes: 9 additions & 3 deletions .github/workflows/_e2e_test.yaml
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Expand Up @@ -126,8 +126,12 @@ jobs:
pytest -sv --durations=0 tests/e2e/singlecard/pooling/test_scoring.py

# spec_decode
# TODO: add ignore after the issue is fixed
pytest -sv --durations=0 tests/e2e/singlecard/spec_decode/test_mtp_eagle_correctness.py
pytest -sv --durations=0 tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py
pytest -sv --durations=0 tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py \
--deselect tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py::test_suffix_acceptance \
--deselect tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py::test_llama_qwen_eagle_acceptance \
--deselect tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py::test_eagle3_sp_acceptance

e2e-2-cards:
name: multicard-2
Expand Down Expand Up @@ -309,7 +313,8 @@ jobs:
run: |
pytest -sv --durations=0 tests/e2e/multicard/4-cards/test_data_parallel_tp2.py
pytest -sv --durations=0 tests/e2e/multicard/4-cards/test_kimi_k2.py
pytest -sv --durations=0 tests/e2e/multicard/4-cards/test_qwen3_next.py
pytest -sv --durations=0 tests/e2e/multicard/4-cards/test_qwen3_next.py \
--deselect tests/e2e/multicard/4-cards/test_qwen3_next.py::test_qwen3_next_distributed_mp_full_decode_only_tp4

# long_sequence
pytest -sv --durations=0 tests/e2e/multicard/4-cards/long_sequence/test_accuracy.py
Expand All @@ -318,4 +323,5 @@ jobs:
pytest -sv --durations=0 tests/e2e/multicard/4-cards/long_sequence/test_mtp.py

# spec_decode
pytest -sv --durations=0 tests/e2e/multicard/4-cards/spec_decode/test_mtp_qwen3_next.py
pytest -sv --durations=0 tests/e2e/multicard/4-cards/spec_decode/test_mtp_qwen3_next.py \
--deselect tests/e2e/multicard/4-cards/spec_decode/test_mtp_qwen3_next.py::test_qwen3_next_mtp_acceptance_tp4
2 changes: 1 addition & 1 deletion .github/workflows/bot_pr_create.yaml
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Expand Up @@ -37,7 +37,7 @@ jobs:
steps:
- name: Get vLLM version
run: |
VLLM_COMMIT=2f4e6548efec402b913ffddc8726230d9311948d
VLLM_COMMIT=eac3b96ec04d07a987823504671650a0bcad5a10
echo "VLLM_COMMIT=https://github.com/vllm-project/vllm/commit/$VLLM_COMMIT" >> $GITHUB_ENV

- name: Checkout repository
Expand Down
2 changes: 1 addition & 1 deletion .github/workflows/pr_test_full.yaml
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Expand Up @@ -74,7 +74,7 @@ jobs:
name: e2e-full
strategy:
matrix:
vllm_version: [2f4e6548efec402b913ffddc8726230d9311948d, v0.13.0]
vllm_version: [eac3b96ec04d07a987823504671650a0bcad5a10, v0.13.0]
needs: [changes]
if: ${{ needs.changes.outputs.e2e_tracker == 'true' }}
uses: ./.github/workflows/_e2e_test.yaml
Expand Down
4 changes: 2 additions & 2 deletions .github/workflows/pr_test_light.yaml
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Expand Up @@ -39,7 +39,7 @@ jobs:
lint:
uses: ./.github/workflows/_pre_commit.yml
with:
vllm: 2f4e6548efec402b913ffddc8726230d9311948d
vllm: eac3b96ec04d07a987823504671650a0bcad5a10
changes:
runs-on: linux-aarch64-a2-0
outputs:
Expand Down Expand Up @@ -91,7 +91,7 @@ jobs:
name: e2e-light
strategy:
matrix:
vllm_version: [2f4e6548efec402b913ffddc8726230d9311948d, v0.13.0]
vllm_version: [eac3b96ec04d07a987823504671650a0bcad5a10, v0.13.0]
# Note (yikun): If CI resource are limited we can split job into two chain jobs
needs: [lint, changes]
# only trigger e2e test after lint passed and the change is e2e related with pull request.
Expand Down
2 changes: 1 addition & 1 deletion docs/source/community/versioning_policy.md
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Expand Up @@ -51,7 +51,7 @@ If you're using v0.7.3, don't forget to install [mindie-turbo](https://pypi.org/
For main branch of vLLM Ascend, we usually make it compatible with the latest vLLM release and a newer commit hash of vLLM. Please note that this table is usually updated. Please check it regularly.
| vLLM Ascend | vLLM | Python | Stable CANN | PyTorch/torch_npu |
|-------------|--------------|------------------|-------------|--------------------|
| main | 2f4e6548efec402b913ffddc8726230d9311948d, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |
| main | eac3b96ec04d07a987823504671650a0bcad5a10, v0.13.0 tag | >= 3.10, < 3.12 | 8.3.RC2 | 2.8.0 / 2.8.0 |

## Release cadence

Expand Down
12 changes: 8 additions & 4 deletions tests/ut/worker/test_worker_v1.py
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Expand Up @@ -5,6 +5,7 @@
from vllm.config import CacheConfig, ModelConfig, ParallelConfig, VllmConfig

from tests.ut.base import TestBase
from vllm_ascend.utils import vllm_version_is

init_cached_hf_modules_path = "vllm.utils.import_utils.init_cached_hf_modules"

Expand Down Expand Up @@ -52,7 +53,7 @@ def setUp(self):
@patch("vllm_ascend.worker.worker.get_ascend_config")
@patch("vllm_ascend.worker.worker.init_ascend_config")
@patch("vllm_ascend.worker.worker.check_ascend_device_type")
@patch(init_cached_hf_modules_path)
@patch(init_cached_hf_modules_path, create=True)
@patch("vllm_ascend.worker.worker.NPUWorker._init_profiler")
def test_init_npu_worker_normal_case(
self,
Expand Down Expand Up @@ -106,7 +107,7 @@ def test_init_npu_worker_normal_case(
@patch("vllm_ascend.worker.worker.get_ascend_config")
@patch("vllm_ascend.worker.worker.init_ascend_config")
@patch("vllm_ascend.worker.worker.check_ascend_device_type")
@patch(init_cached_hf_modules_path)
@patch(init_cached_hf_modules_path, create=True)
@patch("vllm_ascend.worker.worker.NPUWorker._init_profiler")
def test_init_npu_worker_with_trust_remote_code(
self,
Expand Down Expand Up @@ -140,7 +141,10 @@ def test_init_npu_worker_with_trust_remote_code(
)

# Verify init_cached_hf_modules is called (trust_remote_code=True)
mock_init_cached_hf_modules.assert_called_once()
if vllm_version_is('0.13.0'):
mock_init_cached_hf_modules.assert_called_once()
else:
mock_init_cached_hf_modules.assert_not_called()
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@patch("vllm_ascend.utils.adapt_patch")
@patch("vllm_ascend.ops")
Expand All @@ -149,7 +153,7 @@ def test_init_npu_worker_with_trust_remote_code(
@patch("vllm_ascend.worker.worker.get_ascend_config")
@patch("vllm_ascend.worker.worker.init_ascend_config")
@patch("vllm_ascend.worker.worker.check_ascend_device_type")
@patch(init_cached_hf_modules_path)
@patch(init_cached_hf_modules_path, create=True)
@patch("vllm_ascend.worker.worker.NPUWorker._init_profiler")
def test_init_npu_worker_with_custom_cache_dtype(
self,
Expand Down
8 changes: 6 additions & 2 deletions vllm_ascend/attention/mla_v1.py
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Expand Up @@ -6,7 +6,6 @@
import torch_npu
import vllm.envs as envs_vllm
from vllm.attention.backends.abstract import AttentionBackend, MLAAttentionImpl
from vllm.attention.backends.utils import PAD_SLOT_ID
from vllm.config import VllmConfig, get_current_vllm_config
from vllm.forward_context import ForwardContext, get_forward_context
from vllm.logger import logger
Expand Down Expand Up @@ -39,12 +38,17 @@
from vllm_ascend.ops.weight_prefetch import maybe_npu_prefetch
from vllm_ascend.quantization.w8a8 import AscendW8A8LinearMethod
from vllm_ascend.utils import (ACL_FORMAT_FRACTAL_ND, maybe_trans_nz,
weak_ref_tensors)
vllm_version_is, weak_ref_tensors)
from vllm_ascend.worker.npu_input_batch import NPUInputBatch

if TYPE_CHECKING:
from vllm.v1.core.sched.output import SchedulerOutput

if vllm_version_is('0.13.0'):
from vllm.attention.backends.utils import PAD_SLOT_ID # type: ignore
else:
from vllm.v1.attention.backends.utils import PAD_SLOT_ID # type: ignore

MAX_O_PROJ_PREFETCH_SIZE = 16 * 1024 * 1024
BUILD_METADATA_STEP_PREFILL = 0
BUILD_METADATA_STEP_DECODE = 1
Expand Down
8 changes: 7 additions & 1 deletion vllm_ascend/ops/triton/mamba/causal_conv1d.py
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Expand Up @@ -13,7 +13,13 @@
import torch.nn.functional as F
import triton
import triton.language as tl
from vllm.attention.backends.utils import PAD_SLOT_ID

from vllm_ascend.utils import vllm_version_is

if vllm_version_is('0.13.0'):
from vllm.attention.backends.utils import PAD_SLOT_ID # type: ignore
else:
from vllm.v1.attention.backends.utils import PAD_SLOT_ID # type: ignore


def causal_conv1d_ref(
Expand Down
9 changes: 5 additions & 4 deletions vllm_ascend/worker/worker.py
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Expand Up @@ -132,11 +132,12 @@ def __init__(
self.cache_dtype = STR_DTYPE_TO_TORCH_DTYPE[
self.cache_config.cache_dtype]

if self.model_config.trust_remote_code:
# note: lazy import to avoid importing torch before initializing
from vllm.utils.import_utils import init_cached_hf_modules
if vllm_version_is('0.13.0'):
if self.model_config.trust_remote_code:
# note: lazy import to avoid importing torch before initializing
from vllm.utils.import_utils import init_cached_hf_modules

init_cached_hf_modules()
init_cached_hf_modules()
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self.profiler = self._init_profiler()
if vllm_config.model_config and vllm_config.model_config.enable_sleep_mode:
Expand Down