blob: 18210b472558d2d148348cbda6e7af1467bd8018 [file] [log] [blame]
#!/usr/bin/env bash
# Shell script used to build the torch/lib/* dependencies prior to
# linking the libraries and passing the headers to the Python extension
# compilation stage. This file is used from setup.py, but can also be
# called standalone to compile the libraries outside of the overall PyTorch
# build process.
set -e
# Options for building only a subset of the libraries
WITH_CUDA=0
if [[ "$1" == "--with-cuda" ]]; then
WITH_CUDA=1
shift
fi
cd "$(dirname "$0")/../.."
BASE_DIR=$(pwd)
cd torch/lib
INSTALL_DIR="$(pwd)/tmp_install"
C_FLAGS=" -DTH_INDEX_BASE=0 -I$INSTALL_DIR/include \
-I$INSTALL_DIR/include/TH -I$INSTALL_DIR/include/THC \
-I$INSTALL_DIR/include/THS -I$INSTALL_DIR/include/THCS \
-I$INSTALL_DIR/include/THPP -I$INSTALL_DIR/include/THNN \
-I$INSTALL_DIR/include/THCUNN"
LDFLAGS="-L$INSTALL_DIR/lib "
LD_POSTFIX=".so.1"
LD_POSTFIX_UNVERSIONED=".so"
if [[ $(uname) == 'Darwin' ]]; then
LDFLAGS="$LDFLAGS -Wl,-rpath,@loader_path"
LD_POSTFIX=".1.dylib"
LD_POSTFIX_UNVERSIONED=".dylib"
else
LDFLAGS="$LDFLAGS -Wl,-rpath,\$ORIGIN"
fi
CPP_FLAGS=" -std=c++11 "
GLOO_FLAGS=""
if [[ $WITH_CUDA -eq 1 ]]; then
GLOO_FLAGS="-DUSE_CUDA=1 -DNCCL_ROOT_DIR=$INSTALL_DIR"
fi
# Used to build an individual library, e.g. build TH
function build() {
# We create a build directory for the library, which will
# contain the cmake output
mkdir -p build/$1
cd build/$1
BUILD_C_FLAGS=''
case $1 in
THCS | THCUNN ) BUILD_C_FLAGS=$C_FLAGS;;
nanopb ) BUILD_C_FLAGS=$C_FLAGS" -fPIC -fexceptions";;
*) BUILD_C_FLAGS=$C_FLAGS" -fexceptions";;
esac
cmake ../../$1 -DCMAKE_MODULE_PATH="$BASE_DIR/cmake/FindCUDA" \
-DTorch_FOUND="1" \
-DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
-DCMAKE_C_FLAGS="$BUILD_C_FLAGS" \
-DCMAKE_CXX_FLAGS="$BUILD_C_FLAGS $CPP_FLAGS" \
-DCMAKE_EXE_LINKER_FLAGS="$LDFLAGS" \
-DCMAKE_SHARED_LINKER_FLAGS="$LDFLAGS" \
-DCMAKE_INSTALL_LIBDIR="$INSTALL_DIR/lib" \
-DCUDA_NVCC_FLAGS="$C_FLAGS" \
-DCWRAP_FILES_BASE="$BASE_DIR/torch" \
-DTH_INCLUDE_PATH="$INSTALL_DIR/include" \
-DTH_LIB_PATH="$INSTALL_DIR/lib" \
-DTH_LIBRARIES="$INSTALL_DIR/lib/libTH$LD_POSTFIX" \
-DTHPP_LIBRARIES="$INSTALL_DIR/lib/libTHPP$LD_POSTFIX" \
-DATEN_LIBRARIES="$INSTALL_DIR/lib/libATen$LD_POSTFIX" \
-DTHNN_LIBRARIES="$INSTALL_DIR/lib/libTHNN$LD_POSTFIX" \
-DTHCUNN_LIBRARIES="$INSTALL_DIR/lib/libTHCUNN$LD_POSTFIX" \
-DTHS_LIBRARIES="$INSTALL_DIR/lib/libTHS$LD_POSTFIX" \
-DTHC_LIBRARIES="$INSTALL_DIR/lib/libTHC$LD_POSTFIX" \
-DTHCS_LIBRARIES="$INSTALL_DIR/lib/libTHCS$LD_POSTFIX" \
-DTH_SO_VERSION=1 \
-DTHC_SO_VERSION=1 \
-DTHNN_SO_VERSION=1 \
-DTHCUNN_SO_VERSION=1 \
-DTHD_SO_VERSION=1 \
-DNO_CUDA=$((1-$WITH_CUDA)) \
-DNCCL_EXTERNAL=1 \
-Dnanopb_BUILD_GENERATOR=0 \
-DCMAKE_DEBUG_POSTFIX="" \
-DCMAKE_BUILD_TYPE=$([ $DEBUG ] && echo Debug || echo Release) \
$2
make install -j$(getconf _NPROCESSORS_ONLN)
cd ../..
local lib_prefix=$INSTALL_DIR/lib/lib$1
if [ -f "$lib_prefix$LD_POSTFIX" ]; then
rm -rf -- "$lib_prefix$LD_POSTFIX_UNVERSIONED"
fi
if [[ $(uname) == 'Darwin' ]]; then
cd tmp_install/lib
for lib in *.dylib; do
echo "Updating install_name for $lib"
install_name_tool -id @rpath/$lib $lib
done
cd ../..
fi
}
function build_nccl() {
mkdir -p build/nccl
cd build/nccl
cmake ../../nccl -DCMAKE_MODULE_PATH="$BASE_DIR/cmake/FindCUDA" \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
-DCMAKE_C_FLAGS="$C_FLAGS" \
-DCMAKE_CXX_FLAGS="$C_FLAGS $CPP_FLAGS"
make install
cp "lib/libnccl.so.1" "${INSTALL_DIR}/lib/libnccl.so.1"
if [ ! -f "${INSTALL_DIR}/lib/libnccl.so" ]; then
ln -s "${INSTALL_DIR}/lib/libnccl.so.1" "${INSTALL_DIR}/lib/libnccl.so"
fi
cd ../..
}
# In the torch/lib directory, create an installation directory
mkdir -p tmp_install
# Build
for arg in "$@"; do
if [[ "$arg" == "nccl" ]]; then
build_nccl
elif [[ "$arg" == "gloo" ]]; then
build gloo $GLOO_FLAGS
else
build $arg
fi
done
# If all the builds succeed we copy the libraries, headers,
# binaries to torch/lib
rm -rf $INSTALL_DIR/lib/cmake
rm -rf $INSTALL_DIR/lib/python
cp $INSTALL_DIR/lib/* .
if [ -d "$INSTALL_DIR/lib64/" ]; then
cp $INSTALL_DIR/lib64/* .
fi
cp THNN/generic/THNN.h .
cp THCUNN/generic/THCUNN.h .
cp -r $INSTALL_DIR/include .
if [ -d "$INSTALL_DIR/bin/" ]; then
cp $INSTALL_DIR/bin/* .
fi
# this is for binary builds
if [[ $PYTORCH_BINARY_BUILD && $PYTORCH_SO_DEPS ]]
then
echo "Copying over dependency libraries $PYTORCH_SO_DEPS"
# copy over dependency libraries into the current dir
cp $PYTORCH_SO_DEPS .
fi