pytorch3d/packaging/conda/build_pytorch3d.sh
Jeremy Reizenstein 0fecb2ddb9 pytorch version in package name
Summary:
Pytorch 1.5 is coming soon. I imagine we will want the ability to upload conda packages for pytorch3d to anaconda cloud for each of pytorch 1.4 and pytorch 1.5. This change adds the dependent pytorch version to the name of the conda package to make that feasible.

As an example, a built package after this change will have a name like `linux-64/pytorch3d-0.1.1-py38_cu100_pyt14.tar.bz2`, instead of simply `linux-64/pytorch3d-0.1.1-py38_cu100.tar.bz2`.

Also some tiny cleanup of circleci config.

Other alternatives: (1) forcing users to update pytorch and pytorch3d together, (2) trying to get away with one build for multiple pytorch versions.

Reviewed By: nikhilaravi

Differential Revision: D20599039

fbshipit-source-id: 20164eda4a5141afed47b3596e559950d796ffc9
2020-04-07 09:42:31 -07:00

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#!/usr/bin/env bash
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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