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build_wheel.sh
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build_wheel.sh
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#!/bin/bash
# -----------------
# This script creates and runs a docker image for compiling a wheel
# to install theseus.
#
# To use this script, from root theesus folder run
# ./build_scripts/build_wheel.sh ROOT_DIR COMMIT CUDA_VERSION THESEUS_VERSION(optional, ${COMMIT}) INCLUDE_LABS(optional, 0) NIGHTLY(optional, 0) PYTHON_VERSION(optional, 3.10)
#
# ROOT_DIR: is the directory where the Dockerfile, tar.gz and .whl files will be stored
# (under a new subdirectory named theseus_docker_3.9)
# COMMIT: is a theseus commit hash or tag (e.g., 0.1.3).
# CUDA_VERSION: the version of CUDA to use. We have tested 11.8.
# You can also pass "cpu" to compile without CUDA extensions.
# THESEUS_VERSION: defaults to COMMIT, otherwise it must match the version in the commit.
# INCLUDE_LABS: if !=0, the compiled wheel also includes Theseus Labs.
# For example
# ./build_scripts/build_wheel.sh . 0.1.4 11.8
# NIGHTLY: if !=0, compiles a wheel for the nightly package (forces INCLUDE_LABS=1).
# THESEUS_VERSION and COMMIT are also ignored, since version is set to YYYY.MM.DD.
# and commit is set to `main`.
# PYTHON_VERSION: which python version to use (defaults 3.10). Can pass multiple with 'V1 V2', the script will loop over them.
#
# will run and store results under ./theseus_docker_${PYTHON_VERSION}
# -----------------
# Ensure that 3-7 arguments
# (ROOT_DIR, COMMIT, CUDA_VERSION, optional: THESEUS_VERSION, INCLUDE_LABS, NIGHTLY, PYTHON_VERSION) are provided.
die () {
echo >&2 "$@"
exit 1
}
[ "$#" -ge 3 ] && [ "$#" -le 7 ] || die "3-7 arguments required, $# provided"
ROOT_DIR=$1
COMMIT=$2
CUDA_VERSION=$3
TH_VERSION=${4:-${COMMIT}}
INCLUDE_LABS=${5:-0}
NIGHTLY=${6:-0}
PY_VER=${7:-3.10}
if [[ ${INCLUDE_LABS} != 0 ]]
then
INCLUDE_LABS_STR="1"
else
INCLUDE_LABS_STR=""
fi
if [[ ${NIGHTLY} != 0 ]]
then
TH_VERSION=$(date +"%Y.%-m.%-d")
NIGHTLY_STR="THESEUS_NIGHTLY='${TH_VERSION}'"
WHL_NAME="theseus_ai_nightly"
TAR_NAME="theseus_ai-nightly"
GIT_CMD="git pull origin main"
else
NIGHTLY_STR=""
WHL_NAME="theseus_ai"
TAR_NAME="theseus_ai"
GIT_CMD="git checkout ${COMMIT} -b tmp_build"
fi
SUPPORTED_CUDA_VERSIONS="11.8"
CUDA_VERSION_IS_SUPPORTED=$(echo "cpu ${SUPPORTED_CUDA_VERSIONS}" | grep -w ${CUDA_VERSION})
[ "${CUDA_VERSION_IS_SUPPORTED}" ] || die "CUDA_VERSION must be one of (cpu ${SUPPORTED_CUDA_VERSIONS})"
CUDA_SUFFIX=$(echo ${CUDA_VERSION} | sed 's/[.]//g')
TORCH_VERSION='"torch>=2.0.0"'
if [[ ${CUDA_VERSION} == "cpu" ]]
then
DEVICE_TAG=cpu
IMAGE_NAME="pytorch/manylinux-cuda102"
ENABLE_CUDA=0
BASPACHO_CUDA_ARGS="-DBASPACHO_USE_CUBLAS=0"
else
DEVICE_TAG="cu${CUDA_SUFFIX}"
IMAGE_NAME="pytorch/manylinux-cuda${CUDA_SUFFIX}"
ENABLE_CUDA=1
BASPACHO_CUDA_ARCHS="60;70;75"
TORCH_CUDA_ARCH_LIST="6.0;7.0;7.5"
if [[ ${CUDA_VERSION} != "10.2" ]]
then
BASPACHO_CUDA_ARCHS="${BASPACHO_CUDA_ARCHS};80"
TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};8.0"
fi
DEPRECATED_TORCH_CUDA="11.3 11.6 11.7"
CUDA_IS_TORCH_DEPRECATED=$(echo "${DEPRECATED_TORCH_CUDA}" | grep -w ${CUDA_VERSION})
if [[ ${CUDA_IS_TORCH_DEPRECATED} ]]
then
TORCH_VERSION='"torch<=2.0.0"'
fi
BASPACHO_CUDA_ARGS="-DCMAKE_CUDA_COMPILER=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc -DBASPACHO_CUDA_ARCHS='${BASPACHO_CUDA_ARCHS}'"
fi
for PYTHON_VERSION in ${PY_VER}; do
# Create dockerfile to build in manylinux container
DOCKER_DIR=${ROOT_DIR}/theseus_docker_${PYTHON_VERSION}
mkdir -p ${DOCKER_DIR}
echo """# ----------------
FROM ${IMAGE_NAME}
# --- Install baspacho dependencies (cmake, BLAS)
RUN wget --quiet https://github.com/Kitware/CMake/releases/download/v3.24.2/cmake-3.24.2-linux-x86_64.sh -O ~/cmake3.24.sh
RUN mkdir /opt/cmake3.24
RUN /bin/bash ~/cmake3.24.sh --prefix=/opt/cmake3.24 --skip-license
RUN yum makecache
RUN yum -y install openblas-static
# --- Install baspacho
RUN git clone https://github.com/facebookresearch/baspacho.git
WORKDIR baspacho
# Note: to use static BLAS the option is really BLA_STATIC (https://cmake.org/cmake/help/latest/module/FindBLAS.html)
RUN /opt/cmake3.24/bin/cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DBLA_STATIC=ON \
${BASPACHO_CUDA_ARGS} \
-DBUILD_SHARED_LIBS=OFF \
-DBASPACHO_BUILD_TESTS=OFF -DBASPACHO_BUILD_EXAMPLES=OFF
RUN /opt/cmake3.24/bin/cmake --build build -- -j16
WORKDIR ..
# --- Install conda and environment
ENV CONDA_DIR /opt/conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
/bin/bash ~/miniconda.sh -b -p /opt/conda
ENV PATH \$CONDA_DIR/bin:\$PATH
RUN conda create --name theseus python=${PYTHON_VERSION}
ENV PATH \$CONDA_DIR/envs/theseus/bin:\$PATH
# --- Install torch
ENV CUDA_HOME /usr/local/cuda-${CUDA_VERSION}
RUN pip install ${TORCH_VERSION} --extra-index-url https://download.pytorch.org/whl/${DEVICE_TAG}
# --- Install sparse suitesparse
RUN conda install -c conda-forge suitesparse
# --- Compile theseus wheel
RUN pip install build wheel
RUN git clone https://github.com/facebookresearch/theseus.git
WORKDIR theseus
RUN git fetch --all --tags
RUN ${GIT_CMD}
RUN git log -n 1
CMD BASPACHO_ROOT_DIR=/baspacho \
THESEUS_FORCE_CUDA=${ENABLE_CUDA} \
TORCH_CUDA_ARCH_LIST='${TORCH_CUDA_ARCH_LIST}' \
INCLUDE_THESEUS_LABS='${INCLUDE_LABS_STR}' \
${NIGHTLY_STR} \
python3 -m build --no-isolation
""" > ${DOCKER_DIR}/Dockerfile
# Run the container
cd ${DOCKER_DIR}
echo $(pwd)
DOCKER_NAME=theseus_${PYTHON_VERSION}
sudo docker build -t "${DOCKER_NAME}_img" .
sudo docker run --name ${DOCKER_NAME} ${DOCKER_NAME}_img
# Copy the wheel to host
CP_STR="cp"$(echo ${PYTHON_VERSION} | sed 's/[.]//g')
DOCKER_WHL="theseus/dist/${WHL_NAME}-${TH_VERSION}-${CP_STR}-${CP_STR}-linux_x86_64.whl"
if [[ ${CUDA_VERSION} == "11.8" ]]
then
PLUS_CU_TAG="" # 11.8 will be the pypi version, so don't add +cu118
else
PLUS_CU_TAG="+${DEVICE_TAG}"
fi
# The host wheel adds the cuda information, and the manylinux name tag
HOST_WHL="${WHL_NAME}-${TH_VERSION}${PLUS_CU_TAG}-${CP_STR}-${CP_STR}-manylinux_2_17_x86_64.whl"
sudo docker cp "${DOCKER_NAME}:theseus/dist/${TAR_NAME}-${TH_VERSION}.tar.gz" "${TAR_NAME}-${TH_VERSION}.tar.gz"
sudo docker cp "${DOCKER_NAME}:${DOCKER_WHL}" ${HOST_WHL}
sudo docker rm ${DOCKER_NAME}
sudo docker image rm "${DOCKER_NAME}_img"
done