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[CI] Use UV to improve pip install speed (#22029)

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tfhddd
2026-04-09 09:18:32 +08:00
committed by GitHub
parent 1b7c33a5b7
commit c431b11d8b
4 changed files with 30 additions and 7 deletions
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scripts/ci/npu/npu_ci_install_dependency.sh
+14 -7
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@@ -2,6 +2,7 @@
set -euo pipefail
PIP_INSTALL="python3 -m pip install --no-cache-dir"
UV_PIP_INSTALL="uv pip install "
DEVICE_TYPE=$1
OPTIONAL_DEPS="${2:-}"
@@ -26,32 +27,38 @@ apt update -y && apt install -y \
libglib2.0-0
update-ca-certificates
${PIP_INSTALL} --upgrade pip
${PIP_INSTALL} uv
export UV_NO_CACHE=true
export UV_SYSTEM_PYTHON=true
export UV_INDEX_STRATEGY=unsafe-best-match
# Pin wheel to 0.45.1, REF: https://github.com/pypa/wheel/issues/662
${PIP_INSTALL} wheel==0.45.1 pybind11 pyyaml decorator scipy attrs psutil
${UV_PIP_INSTALL} wheel==0.45.1 pybind11 pyyaml decorator scipy attrs psutil
### Install MemFabric
${PIP_INSTALL} memfabric-hybrid==1.0.5
${UV_PIP_INSTALL} memfabric-hybrid==1.0.5
### Install PyTorch and PTA
if [ -n "$OPTIONAL_DEPS" ]; then
PYTORCH_VERSION="2.10.0"
TORCHVISION_VERSION="0.25.0"
${PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url ${TORCH_CACHE_URL:="https://download.pytorch.org/whl/cpu"} --extra-index-url ${PYPI_CACHE_URL:="https://pypi.org/simple/"}
${UV_PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url ${TORCH_CACHE_URL:="https://download.pytorch.org/whl/cpu"} --extra-index-url ${PYPI_CACHE_URL:="https://pypi.org/simple/"}
PTA_URL="https://gitcode.com/Ascend/pytorch/releases/download/7.3.0.alpha002/torch_npu-2.10.0rc2-cp311-cp311-manylinux_2_28_aarch64.whl"
# GitCode does not allow UV downloads.
${PIP_INSTALL} ${PTA_URL}
else
PYTORCH_VERSION="2.8.0"
TORCHVISION_VERSION="0.23.0"
${PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url ${TORCH_CACHE_URL:="https://download.pytorch.org/whl/cpu"} --extra-index-url ${PYPI_CACHE_URL:="https://pypi.org/simple/"}
${UV_PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url ${TORCH_CACHE_URL:="https://download.pytorch.org/whl/cpu"} --extra-index-url ${PYPI_CACHE_URL:="https://pypi.org/simple/"}
PTA_URL="https://gitcode.com/Ascend/pytorch/releases/download/v7.3.0-pytorch2.8.0/torch_npu-2.8.0.post2-cp311-cp311-manylinux_2_28_aarch64.whl"
${PIP_INSTALL} ${PTA_URL}
fi
### Install Triton-Ascend
${PIP_INSTALL} triton-ascend
${UV_PIP_INSTALL} triton-ascend
### Install sgl-kernel-npu
@@ -59,10 +66,10 @@ SGLANG_KERNEL_NPU_TAG="2026.03.10.rc1"
mkdir sgl-kernel-npu
(cd sgl-kernel-npu && wget "${GITHUB_PROXY_URL:=""}https://github.com/sgl-project/sgl-kernel-npu/releases/download/${SGLANG_KERNEL_NPU_TAG}/sgl-kernel-npu-${SGLANG_KERNEL_NPU_TAG}-torch2.8.0-py311-cann8.5.0-${DEVICE_TYPE}-$(arch).zip" \
&& unzip ./sgl-kernel-npu-${SGLANG_KERNEL_NPU_TAG}-torch2.8.0-py311-cann8.5.0-${DEVICE_TYPE}-$(arch).zip \
&& ${PIP_INSTALL} ./deep_ep*.whl ./sgl_kernel_npu*.whl \
&& ${UV_PIP_INSTALL} ./deep_ep*.whl ./sgl_kernel_npu*.whl \
&& (cd "$(python3 -m pip show deep-ep | grep -E '^Location:' | awk '{print $2}')" && ln -s deep_ep/deep_ep_cpp*.so))
### Install SGLang
rm -rf python/pyproject.toml && mv python/pyproject_npu.toml python/pyproject.toml
${PIP_INSTALL} -v -e "python[dev_npu]"
${UV_PIP_INSTALL} -v -e "python[dev_npu]"