Files
xc-llm-ascend/vllm_ascend/patch/worker/patch_huanyuan_vl.py

27 lines
1.1 KiB
Python
Raw Normal View History

[main2main] upgrade vllm main 0202 (#6560) ### What this PR does / why we need it? 1. Fix `TypeError: FusedMoEParallelConfig.__init__() missing 1 required positional argument: 'is_sequence_parallel'` due to https://github.com/vllm-project/vllm/pull/32567 2. Fix ` TypeError: '>' not supported between instances of 'MagicMock' and 'int'` due to https://github.com/vllm-project/vllm/pull/33035 3. Fix `TypeError: Can't instantiate abstract class AscendMLAImpl with abstract methods forward_mha, forward_mqa` and AttributeError: 'bool' object has no attribute 'process_weights_after_loading' due to https://github.com/vllm-project/vllm/pull/33284 4. Fix `'AscendSharedFusedMoE' object has no attribute '_routed_input_transform'`due to https://github.com/vllm-project/vllm/pull/32790 5. Fix `NPUModelRunner._dummy_run() got an unexpected keyword argument 'num_active_loras'` due to https://github.com/vllm-project/vllm/pull/32005 6. Fix the problem caused by` 'tuple' object has no attribute 'job_id'` due to https://github.com/vllm-project/vllm/pull/27492 7. Fix the problem that all_moe_layers is not equal to vllm.moe_forward, vllm.moe_forward_shared due to https://github.com/vllm-project/vllm/pull/33184 8. Add patch to fix the problem "got multiple values for keyword argument 'add_special_tokens'" due to https://github.com/vllm-project/vllm/pull/32863 ### Does this PR introduce _any_ user-facing change? ### How was this patch tested? - vLLM version: v0.15.0 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com>
2026-02-05 19:31:17 +08:00
#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# This file is a part of the vllm-ascend project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#from collections.abc import Iterable
from vllm.transformers_utils.processors.hunyuan_vl import HunYuanVLProcessor
_original_call = HunYuanVLProcessor.__call__
def _patched_call(self, images=None, text=None, videos=None, **kwargs):
"""Remove add_special_tokens requirement."""
kwargs.pop("add_special_tokens", None)
return _original_call(self, images=images, text=text, videos=videos, **kwargs)
HunYuanVLProcessor.__call__ = _patched_call