7f2673ea2d
1. fix https://github.com/vllm-project/vllm/pull/28542 The model structure modifications we involved in are: - Qwen2.5-VL(still exist some patch) - Qwen2-VL - Qwen2 - DeepSeek series - Qwen-moe series 2. fix https://github.com/vllm-project/vllm/pull/29121 the output token now type changed from np to `list[list[int]]` 3. fix https://github.com/vllm-project/vllm/pull/29262 `xformers` backend for multimodal now has been deprecated 4. fix https://github.com/vllm-project/vllm/pull/29342 5. fix https://github.com/vllm-project/vllm/pull/28579 6. fix https://github.com/vllm-project/vllm/pull/28718 7. fix https://github.com/vllm-project/vllm/issues/28665 8. fix https://github.com/vllm-project/vllm/pull/26847 vllm introduced the `optimization-level`, some default config has been changed, and the param `--enforce-eager` has been deprecated 9. fix http://github.com/vllm-project/vllm/pull/29223 it retuns tuple for sampler. 10. fix https://github.com/vllm-project/vllm/pull/29471 we'll remove the related patch to avoid this kind of error. Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: wangli <wangli858794774@gmail.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: wangli <wangli858794774@gmail.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: wangli <wangli858794774@gmail.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com>
66 lines
2.7 KiB
Docker
66 lines
2.7 KiB
Docker
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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FROM quay.io/ascend/cann:8.3.rc2-310p-ubuntu22.04-py3.11
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ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
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ARG COMPILE_CUSTOM_KERNELS=1
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ARG SOC_VERSION="ascend310p1"
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# Define environments
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ENV DEBIAN_FRONTEND=noninteractive
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ENV COMPILE_CUSTOM_KERNELS=${COMPILE_CUSTOM_KERNELS}
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ENV SOC_VERSION=$SOC_VERSION
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RUN apt-get update -y && \
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apt-get install -y python3-pip git vim wget net-tools gcc g++ cmake libnuma-dev && \
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rm -rf /var/cache/apt/* && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /workspace
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COPY . /vllm-workspace/vllm-ascend/
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RUN pip config set global.index-url ${PIP_INDEX_URL}
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# Install vLLM
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ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
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ARG VLLM_TAG=86e178f7c4d8c3b0eaf3c8e3f810a83f63b90e24
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# Revert this change once VLLM_TAG is specified to branch or tag
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# RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
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RUN git clone $VLLM_REPO /vllm-workspace/vllm && (cd /vllm-workspace/vllm && git checkout $VLLM_TAG)
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# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
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RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /vllm-workspace/vllm/[audio] --extra-index https://download.pytorch.org/whl/cpu/ && \
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python3 -m pip uninstall -y triton && \
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python3 -m pip cache purge
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# Install vllm-ascend
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# Append `libascend_hal.so` path (devlib) to LD_LIBRARY_PATH
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RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
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source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
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source /usr/local/Ascend/nnal/atb/set_env.sh && \
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
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export SOC_VERSION=ASCEND310P3 && \
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python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
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python3 -m pip cache purge
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# Install modelscope (for fast download) and ray (for multinode)
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RUN python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
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python3 -m pip cache purge
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CMD ["/bin/bash"]
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