提交 df0c7ea7 编写于 作者: S storypku 提交者: Liu Jiaming

Docker::Installers: libtorch 1.7.0 for Apollo Unstable

上级 e0a54d4a
......@@ -21,76 +21,75 @@ set -e
cd "$(dirname "${BASH_SOURCE[0]}")"
. ./installer_base.sh
# TODO(build): Docs on how to build libtorch on Jetson boards
# References:
# https://github.com/ApolloAuto/apollo/blob/pre6/docker/build/installers/install_libtorch.sh
# https://github.com/dusty-nv/jetson-containers/blob/master/Dockerfile.pytorch
# https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-6-0-now-available
# https://github.com/pytorch/pytorch/blob/master/docker/caffe2/ubuntu-16.04-cpu-all-options/Dockerfile
TARGET_ARCH="$(uname -m)"
if [[ "${TARGET_ARCH}" == "aarch64" ]]; then
# TODO(build): Docs on how to build libtorch on Jetson boards
# References:
# https://github.com/ApolloAuto/apollo/blob/pre6/docker/build/installers/install_libtorch.sh
# https://github.com/dusty-nv/jetson-containers/blob/master/Dockerfile.pytorch
# https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-6-0-now-available
# https://github.com/pytorch/pytorch/blob/master/docker/caffe2/ubuntu-16.04-cpu-all-options/Dockerfile
VERSION="1.6.0"
# libtorch_cpu
PKG_NAME="libtorch_cpu-1.6.0-linux-aarch64.tar.gz"
if [[ "${TARGET_ARCH}" == "x86_64" ]]; then
# Libtorch-gpu dependency for x86_64
pip3_install mkl
fi
##============================================================##
# libtorch_cpu
if [[ "${TARGET_ARCH}" == "x86_64" ]]; then
if [[ "${APOLLO_DIST}" == "stable" ]]; then
# https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.5.0%2Bcpu.zip
VERSION="1.5.0"
CHECKSUM="0c81319793763b77b299088e86ce281e8772a6ae7b1c1a37b56d0eee93911edd"
else # testing
VERSION="1.7.0"
CHECKSUM="dddde039c97fc5caf10c16c2f8fa75351fdbe79c4e90c1ec6e20a7341de9c3c8"
fi
elif [[ "${TARGET_ARCH}" == "aarch64" ]]; then
VERSION="1.6.0"
CHECKSUM="712a33a416767de625a3f2da54ec384d50882b10e1b1fc5da8df4158ef6edd06"
DOWNLOAD_LINK="https://apollo-system.cdn.bcebos.com/archive/6.0/${PKG_NAME}"
download_if_not_cached "${PKG_NAME}" "${CHECKSUM}" "${DOWNLOAD_LINK}"
else
error "libtorch for ${TARGET_ARCH} not ready. Exiting..."
exit 1
fi
tar xzf "${PKG_NAME}"
mv "${PKG_NAME%.tar.gz}" /usr/local/libtorch_cpu
rm -f "${PKG_NAME}"
ok "Successfully installed libtorch_cpu ${VERSION}"
PKG_NAME="libtorch_cpu-${VERSION}-linux-${TARGET_ARCH}.tar.gz"
DOWNLOAD_LINK="https://apollo-system.cdn.bcebos.com/archive/6.0/${PKG_NAME}"
download_if_not_cached "${PKG_NAME}" "${CHECKSUM}" "${DOWNLOAD_LINK}"
##============================================================##
# libtorch_gpu
tar xzf "${PKG_NAME}"
mv "${PKG_NAME%.tar.gz}" /usr/local/libtorch_cpu
rm -f "${PKG_NAME}"
ok "Successfully installed libtorch_cpu ${VERSION}"
##============================================================##
# libtorch_gpu
if [[ "${TARGET_ARCH}" == "x86_64" ]]; then
if [[ "${APOLLO_DIST}" == "stable" ]]; then
# TODO(build): bump libtorch to 1.6.0
VERSION="1.5.1"
CHECKSUM="c16dfc8393c0ea27cdbd596913ae0ac40ab5e29ba211b7ef71475ff75b8b5af0"
PKG_NAME="libtorch_gpu-1.5.1-cu102-linux-x86_64.tar.gz"
else
VERSION="1.7.0"
CHECKSUM="dfb13e750eea5a123f97d1886c7ec3e000d62e8fe20583fb2fc8a50d75d5fdce"
PKG_NAME="libtorch_gpu-1.7.0-cu111-linux-x86_64.tar.gz"
fi
else # AArch64
VERSION="1.6.0"
PKG_NAME="libtorch_gpu-1.6.0-linux-aarch64.tar.gz"
CHECKSUM="bf9495110641b0f0dda44e3c93f06f221b54af990688a9202a377ec9b3348666"
DOWNLOAD_LINK="https://apollo-system.cdn.bcebos.com/archive/6.0/${PKG_NAME}"
download_if_not_cached "${PKG_NAME}" "${CHECKSUM}" "${DOWNLOAD_LINK}"
tar xzf "${PKG_NAME}"
mv "${PKG_NAME%.tar.gz}" /usr/local/libtorch_gpu
rm -f "${PKG_NAME}"
ok "Successfully installed libtorch_gpu ${VERSION}"
exit 0
fi
##===============================================================##
# Libtorch-gpu dependency for x86_64
pip3_install mkl
# TODO(build): bump libtorch to 1.6.0
PKG_NAME="libtorch-1.5.1-gpu-apollo.zip"
DOWNLOAD_LINK="https://apollo-system.cdn.bcebos.com/archive/6.0/${PKG_NAME}"
CHECKSUM="6e8aa94e2f7086d3ecc79484ade50cdcac69f1b51b1f04e4feda2f9384b4c380"
download_if_not_cached "${PKG_NAME}" "${CHECKSUM}" "${DOWNLOAD_LINK}"
unzip ${PKG_NAME}
pushd libtorch_gpu
mkdir -p /usr/local/libtorch_gpu/
mv include /usr/local/libtorch_gpu/include
mv lib /usr/local/libtorch_gpu/lib
mv share /usr/local/libtorch_gpu/share
popd
# Cleanup
rm -rf libtorch_gpu ${PKG_NAME}
PKG_NAME="libtorch-cxx11-abi-shared-with-deps-1.5.0+cpu.zip"
DOWNLOAD_LINK="https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.5.0%2Bcpu.zip"
CHECKSUM="3e438237a08099a4bf014335cd0da88708da3a1678aec12a46c67305792b5fa4"
download_if_not_cached "${PKG_NAME}" "${CHECKSUM}" "${DOWNLOAD_LINK}"
unzip ${PKG_NAME}
pushd libtorch
mkdir -p /usr/local/libtorch_cpu/
mv include /usr/local/libtorch_cpu/include
mv lib /usr/local/libtorch_cpu/lib
mv share /usr/local/libtorch_cpu/share
popd
tar xzf "${PKG_NAME}"
mv "${PKG_NAME%.tar.gz}" /usr/local/libtorch_gpu
# Cleanup
rm -rf libtorch ${PKG_NAME}
rm -f "${PKG_NAME}"
ok "Successfully installed libtorch_gpu ${VERSION}"
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