TensorRT-LLMs/docker/common/install_nixl.sh
Bo Deng ec3ebae43e
[TRTLLM-6471] Infra: Upgrade NIXL to 0.3.1 (#5991)
Signed-off-by: Rabia Loulou <174243936+rabial-nv@users.noreply.github.com>
Signed-off-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
Signed-off-by: Bo Deng <deemod@nvidia.com>
Co-authored-by: Rabia Loulou <174243936+rabial-nv@users.noreply.github.com>
Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
2025-07-16 13:54:42 +08:00

43 lines
1.2 KiB
Bash

#!/bin/bash
set -ex
GITHUB_URL="https://github.com"
UCX_INSTALL_PATH="/usr/local/ucx/"
CUDA_PATH="/usr/local/cuda"
NIXL_VERSION="0.3.1"
NIXL_REPO="https://github.com/ai-dynamo/nixl.git"
ARCH_NAME="x86_64-linux-gnu"
GDS_PATH="$CUDA_PATH/targets/x86_64-linux"
if [ "$(uname -m)" != "amd64" ] && [ "$(uname -m)" != "x86_64" ]; then
ARCH_NAME="aarch64-linux-gnu"
GDS_PATH="$CUDA_PATH/targets/sbsa-linux"
fi
pip3 install --no-cache-dir meson ninja pybind11
git clone --depth 1 -b ${NIXL_VERSION} ${NIXL_REPO}
cd nixl
cuda_path=$(find / -name "libcuda.so.1" 2>/dev/null | head -n1)
if [[ -z "$cuda_path" ]]; then
echo "libcuda.so.1 not found "
exit 1
fi
ln -sf $cuda_path $CUDA_PATH/lib64/libcuda.so.1
meson setup builddir \
-Ducx_path=$UCX_INSTALL_PATH \
-Dcudapath_lib="$CUDA_PATH/lib64" \
-Dcudapath_inc="$CUDA_PATH/include" \
-Dgds_path="$GDS_PATH" \
-Dinstall_headers=true \
-Dstatic_plugins=UCX
cd builddir && ninja install
cd ../..
rm -rf nixl* # Remove NIXL source tree to save space
rm $CUDA_PATH/lib64/libcuda.so.1
echo "export LD_LIBRARY_PATH=/opt/nvidia/nvda_nixl/lib/${ARCH_NAME}:/opt/nvidia/nvda_nixl/lib64:\$LD_LIBRARY_PATH" >> "${ENV}"