AiOS / pytorch3d /packaging /conda /build_pytorch3d.sh
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#!/usr/bin/env bash
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
if [[ -x "/remote/anaconda_token" ]]; then
. /remote/anaconda_token || true
fi
set -ex
# Function to retry functions that sometimes timeout or have flaky failures
retry () {
$* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
}
# Parse arguments and determmine version
###########################################################
if [ "$#" -ne 3 ]; then
echo "Illegal number of parameters. Pass cuda version, pytorch3d version, pytorch3d build number"
echo "CUDA version should be Mm with no dot, e.g. '80'"
echo "DESIRED_PYTHON should be M.m, e.g. '2.7'"
exit 1
fi
desired_cuda="$1"
build_version="$2"
build_number="$3"
if [[ "$desired_cuda" != cpu ]]; then
desired_cuda="$(echo $desired_cuda | tr -d cuda. )"
fi
echo "Building cuda version $desired_cuda and pytorch3d version: $build_version build_number: $build_number"
if [[ "$desired_cuda" == 'cpu' ]]; then
cpu_only=1
cuver="cpu"
else
# Switch desired_cuda to be M.m to be consistent with other scripts in
# pytorch/builder
export FORCE_CUDA=1
cuda_nodot="$desired_cuda"
if [[ ${#cuda_nodot} -eq 2 ]]; then
desired_cuda="${desired_cuda:0:1}.${desired_cuda:1:1}"
elif [[ ${#cuda_nodot} -eq 3 ]]; then
desired_cuda="${desired_cuda:0:2}.${desired_cuda:2:1}"
else
echo "unknown cuda version $cuda_nodot"
exit 1
fi
cuver="cu$cuda_nodot"
fi
export PYTORCH3D_BUILD_VERSION=$build_version
export PYTORCH3D_BUILD_NUMBER=$build_number
if [[ -z "$DESIRED_PYTHON" ]]; then
DESIRED_PYTHON=('3.5' '3.6' '3.7')
fi
SOURCE_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"
if [[ -z "$WIN_PACKAGE_WORK_DIR" ]]; then
WIN_PACKAGE_WORK_DIR="$(echo $(pwd -W) | tr '/' '\\')\\tmp_conda_$(date +%H%M%S)"
fi
mkdir -p "$WIN_PACKAGE_WORK_DIR" || true
pytorch3d_rootdir="$(realpath ${WIN_PACKAGE_WORK_DIR})/pytorch3d-src"
git config --system core.longpaths true
if [[ ! -d "$pytorch3d_rootdir" ]]; then
rm -rf "$pytorch3d_rootdir"
git clone SOURCE_DIR/../.. "$pytorch3d_rootdir"
fi
cd "$SOURCE_DIR"
export tmp_conda="${WIN_PACKAGE_WORK_DIR}\\conda"
export miniconda_exe="${WIN_PACKAGE_WORK_DIR}\\miniconda.exe"
rm -rf "$tmp_conda"
rm -f "$miniconda_exe"
curl -sSk https://repo.continuum.io/miniconda/Miniconda3-latest-Windows-x86_64.exe -o "$miniconda_exe"
"$SOURCE_DIR/install_conda.bat" && rm "$miniconda_exe"
pushd $tmp_conda
export PATH="$(pwd):$(pwd)/Library/usr/bin:$(pwd)/Library/bin:$(pwd)/Scripts:$(pwd)/bin:$PATH"
popd
retry conda install -yq conda-build
ANACONDA_USER=pytorch-nightly
conda config --set anaconda_upload no
if [[ "$desired_cuda" == 'cpu' ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT=""
export CONDA_CPUONLY_FEATURE="- cpuonly # [not osx]"
export CUDA_VERSION="None"
else
export CONDA_CPUONLY_FEATURE=""
. ./switch_cuda_version.sh $desired_cuda
if [[ "$desired_cuda" == "10.1" ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=10.1,<10.2 # [not osx]"
elif [[ "$desired_cuda" == "10.0" ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=10.0,<10.1 # [not osx]"
elif [[ "$desired_cuda" == "9.2" ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=9.2,<9.3 # [not osx]"
elif [[ "$desired_cuda" == "9.0" ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=9.0,<9.1 # [not osx]"
elif [[ "$desired_cuda" == "8.0" ]]; then
export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=8.0,<8.1 # [not osx]"
else
echo "unhandled desired_cuda: $desired_cuda"
exit 1
fi
fi
if [[ -z "$PYTORCH_VERSION" ]]; then
export CONDA_CHANNEL_FLAGS="-c pytorch-nightly"
export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-nightly]' | \
python -c "import os, sys, json, re; cuver = '$cuver'; \
cuver = cuver.replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
print(re.sub(r'\\+.*$', '', \
[x['version'] for x in json.load(sys.stdin)['pytorch'] \
if (x['platform'] == 'darwin' or cuver in x['fn']) \
and 'py' + os.environ['DESIRED_PYTHON'] in x['fn']][-1]))")"
if [[ -z "$PYTORCH_VERSION" ]]; then
echo "PyTorch version auto detection failed"
echo "No package found for desired_cuda=$desired_cuda and DESIRED_PYTHON=$DESIRED_PYTHON"
exit 1
fi
else
export CONDA_CHANNEL_FLAGS="-c pytorch -c pytorch-nightly"
fi
if [[ "$desired_cuda" == 'cpu' ]]; then
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
else
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==${PYTORCH_VERSION}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==${PYTORCH_VERSION}"
fi
export PYTORCH_VERSION_NODOT=${PYTORCH_VERSION//./}
# Loop through all Python versions to build a package for each
for py_ver in "${DESIRED_PYTHON[@]}"; do
build_string="py${py_ver}_${build_string_suffix}"
folder_tag="${build_string}_$(date +'%Y%m%d')"
# Create the conda package into this temporary folder. This is so we can find
# the package afterwards, as there's no easy way to extract the final filename
# from conda-build
output_folder="out_$folder_tag"
rm -rf "$output_folder"
mkdir "$output_folder"
export VSTOOLCHAIN_PACKAGE=vs2017
# We need to build the compiler activation scripts first on Windows
time VSDEVCMD_ARGS=${VSDEVCMD_ARGS[@]} \
conda build -c "$ANACONDA_USER" \
--no-anaconda-upload \
--output-folder "$output_folder" \
../$VSTOOLCHAIN_PACKAGE
cp ../$VSTOOLCHAIN_PACKAGE/conda_build_config.yaml ../pytorch3d/conda_build_config.yaml
conda config --set anaconda_upload no
echo "Calling conda-build at $(date)"
if [[ "$desired_cuda" == "9.2" ]]; then
time CMAKE_ARGS=${CMAKE_ARGS[@]} \
BUILD_VERSION="$PYTORCH3D_BUILD_VERSION" \
CU_VERSION="$cuver" \
SOURCE_ROOT_DIR="$pytorch3d_rootdir" \
conda build -c "$ANACONDA_USER" \
-c defaults \
-c conda-forge \
-c "numba/label/dev" \
--no-anaconda-upload \
--python "$py_ver" \
--output-folder "$output_folder" \
--no-verify \
--no-test \
../pytorch3d
else
time CMAKE_ARGS=${CMAKE_ARGS[@]} \
BUILD_VERSION="$PYTORCH3D_BUILD_VERSION" \
CU_VERSION="$cuver" \
SOURCE_ROOT_DIR="$pytorch3d_rootdir" \
conda build -c "$ANACONDA_USER" \
-c defaults \
-c conda-forge \
--no-anaconda-upload \
--python "$py_ver" \
--output-folder "$output_folder" \
--no-verify \
--no-test \
../pytorch3d
fi
echo "Finished conda-build at $(date)"
# Extract the package for testing
ls -lah "$output_folder"
built_package="$(find $output_folder/ -name '*pytorch3d*.tar.bz2')"
# Copy the built package to the host machine for persistence before testing
if [[ -n "$PYTORCH_FINAL_PACKAGE_DIR" ]]; then
mkdir -p "$PYTORCH_FINAL_PACKAGE_DIR" || true
cp "$built_package" "$PYTORCH_FINAL_PACKAGE_DIR/"
fi
done
set +e