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[NPU] chore: bump to CANN 8.3.RC1 and Pytorch 2.8.0 (#13647)

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This commit is contained in:
Even Zhou
2025-11-21 17:07:08 +08:00
committed by GitHub
parent a244c0309c
commit 589d9ad55b
10 changed files with 66 additions and 83 deletions
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docker/npu.Dockerfile
+26 -25
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@@ -1,4 +1,4 @@
ARG CANN_VERSION=8.2.rc1
ARG CANN_VERSION=8.3.rc1
ARG DEVICE_TYPE=a3
ARG OS=ubuntu22.04
ARG PYTHON_VERSION=py3.11
@@ -6,20 +6,22 @@ ARG PYTHON_VERSION=py3.11
FROM quay.io/ascend/cann:$CANN_VERSION-$DEVICE_TYPE-$OS-$PYTHON_VERSION
# Update pip & apt sources
ARG DEVICE_TYPE
ARG PIP_INDEX_URL="https://pypi.org/simple/"
ARG APTMIRROR=""
ARG MEMFABRIC_URL=https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/sglang/mf_adapter-1.0.0-cp311-cp311-linux_aarch64.whl
ARG PYTORCH_VERSION=2.6.0
ARG TORCHVISION_VERSION=0.21.0
ARG PTA_URL="https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/ops/torch_npu-2.6.0.post2%2Bgit95d6260-cp311-cp311-linux_aarch64.whl"
ARG VLLM_TAG=v0.8.5
ARG PYTORCH_VERSION="2.8.0"
ARG TORCHVISION_VERSION="0.23.0"
ARG PTA_VERSION="v7.2.0-pytorch${PYTORCH_VERSION}"
ARG PTA_NAME="torch_npu-${PYTORCH_VERSION}-cp311-cp311-manylinux_2_28_aarch64.whl"
ARG PTA_URL="https://gitcode.com/Ascend/pytorch/releases/download/${PTA_VERSION}/${PTA_NAME}"
ARG TRITON_ASCEND_URL="https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/sglang/triton_ascend-3.2.0%2Bgitb0ea0850-cp311-cp311-linux_aarch64.whl"
ARG BISHENG_URL="https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/sglang/Ascend-BiSheng-toolkit_aarch64.run"
ARG SGLANG_TAG=main
ARG ASCEND_CANN_PATH=/usr/local/Ascend/ascend-toolkit
ARG SGLANG_KERNEL_NPU_TAG=main
ARG PIP_INSTALL="python3 -m pip install --no-cache-dir"
ARG DEVICE_TYPE
WORKDIR /workspace
# Define environments
@@ -54,45 +56,44 @@ ENV LANG=en_US.UTF-8
ENV LANGUAGE=en_US:en
ENV LC_ALL=en_US.UTF-8
# Install dependencies
# TODO: install from pypi released memfabric
RUN pip install $MEMFABRIC_URL --no-cache-dir
# Install vLLM
RUN git clone --depth 1 https://github.com/vllm-project/vllm.git --branch $VLLM_TAG && \
(cd vllm && VLLM_TARGET_DEVICE="empty" pip install -v . --no-cache-dir) && rm -rf vllm
### Install MemFabric
RUN ${PIP_INSTALL} mf-adapter==1.0.0
### Install SGLang Model Gateway
RUN ${PIP_INSTALL} sglang-router
### Install PyTorch and PTA
RUN (${PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url https://download.pytorch.org/whl/cpu) && \
(wget -O "${PTA_NAME}" "${PTA_URL}" && ${PIP_INSTALL} "./${PTA_NAME}" && rm "./${PTA_NAME}")
# TODO: install from pypi released triton-ascend
RUN pip install torch==$PYTORCH_VERSION torchvision==$TORCHVISION_VERSION --index-url https://download.pytorch.org/whl/cpu --no-cache-dir \
&& wget ${PTA_URL} && pip install "./torch_npu-2.6.0.post2+git95d6260-cp311-cp311-linux_aarch64.whl" --no-cache-dir \
&& python3 -m pip install --no-cache-dir attrs==24.2.0 numpy==1.26.4 scipy==1.13.1 decorator==5.1.1 psutil==6.0.0 pytest==8.3.2 pytest-xdist==3.6.1 pyyaml pybind11 \
&& pip install ${TRITON_ASCEND_URL} --no-cache-dir
RUN ${PIP_INSTALL} attrs==24.2.0 numpy==1.26.4 scipy==1.13.1 decorator==5.1.1 psutil==6.0.0 pytest==8.3.2 pytest-xdist==3.6.1 pyyaml pybind11 && \
${PIP_INSTALL} ${TRITON_ASCEND_URL}
# Install SGLang
RUN git clone https://github.com/sgl-project/sglang --branch $SGLANG_TAG && \
(cd sglang/python && rm -rf pyproject.toml && mv pyproject_other.toml pyproject.toml && pip install -v .[srt_npu] --no-cache-dir) && \
(cd sglang/python && rm -rf pyproject.toml && mv pyproject_other.toml pyproject.toml && ${PIP_INSTALL} -v .[srt_npu]) && \
rm -rf sglang
# Install SGLang Model Gateway
RUN pip install sglang-router --no-cache-dir
# Install Deep-ep
# pin wheel to 0.45.1 ref: https://github.com/pypa/wheel/issues/662
RUN pip install wheel==0.45.1 && git clone --branch $SGLANG_KERNEL_NPU_TAG https://github.com/sgl-project/sgl-kernel-npu.git \
RUN ${PIP_INSTALL} wheel==0.45.1 && git clone --branch $SGLANG_KERNEL_NPU_TAG https://github.com/sgl-project/sgl-kernel-npu.git \
&& export LD_LIBRARY_PATH=${ASCEND_CANN_PATH}/latest/runtime/lib64/stub:$LD_LIBRARY_PATH && \
source ${ASCEND_CANN_PATH}/set_env.sh && \
cd sgl-kernel-npu && \
bash build.sh \
&& pip install output/deep_ep*.whl output/sgl_kernel_npu*.whl --no-cache-dir \
&& ${PIP_INSTALL} output/deep_ep*.whl output/sgl_kernel_npu*.whl \
&& cd .. && rm -rf sgl-kernel-npu \
&& cd "$(pip show deep-ep | awk '/^Location:/ {print $2}')" && ln -s deep_ep/deep_ep_cpp*.so
&& cd "$(python3 -m pip show deep-ep | awk '/^Location:/ {print $2}')" && ln -s deep_ep/deep_ep_cpp*.so
# Install CustomOps
RUN wget https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/ops/CANN-custom_ops-8.2.0.0-$DEVICE_TYPE-linux.aarch64.run && \
chmod a+x ./CANN-custom_ops-8.2.0.0-$DEVICE_TYPE-linux.aarch64.run && \
./CANN-custom_ops-8.2.0.0-$DEVICE_TYPE-linux.aarch64.run --quiet --install-path=/usr/local/Ascend/ascend-toolkit/latest/opp && \
wget https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/ops/custom_ops-1.0.$DEVICE_TYPE-cp311-cp311-linux_aarch64.whl && \
pip install ./custom_ops-1.0.$DEVICE_TYPE-cp311-cp311-linux_aarch64.whl
${PIP_INSTALL} ./custom_ops-1.0.$DEVICE_TYPE-cp311-cp311-linux_aarch64.whl
# Install Bisheng
RUN wget ${BISHENG_URL} && chmod a+x Ascend-BiSheng-toolkit_aarch64.run && ./Ascend-BiSheng-toolkit_aarch64.run --install && rm Ascend-BiSheng-toolkit_aarch64.run