torch-mlir/build_tools/python_deploy/build_linux_packages.sh

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#!/bin/bash
# Copyright 2022 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# build_linux_packages.sh
# One stop build of IREE Python packages for Linux. The Linux build is
# complicated because it has to be done via a docker container that has
# an LTS glibc version, all Python packages and other deps.
# This script handles all of those details.
#
# Usage:
# Build everything (all packages, all python versions):
# ./build_tools/python_deploy/build_linux_packages.sh
#
# Build specific Python versions and packages to custom directory:
# python_versions="cp38-cp38 cp39-cp39" \
# packages="torch-mlir" \
# output_dir="/tmp/wheelhouse" \
# ./build_tools/python_deploy/build_linux_packages.sh
#
# Valid Python versions match a subdirectory under /opt/python in the docker
# image. Typically:
# cp37-cp37m cp38-cp38 cp39-cp39 cp310-cp310
#
# Valid packages:
# torch-mlir
#
# Note that this script is meant to be run on CI and it will pollute both the
# output directory and in-tree build/ directories (under runtime/ and
# iree/compiler/) with docker created, root owned builds. Sorry - there is
# no good way around it.
#
# It can be run on a workstation but recommend using a git worktree dedicated
# to packaging to avoid stomping on development artifacts.
set -eu -o errtrace
this_dir="$(cd $(dirname $0) && pwd)"
script_name="$(basename $0)"
repo_root="$(cd $this_dir/../../ && pwd)"
script_name="$(basename $0)"
manylinux_docker_image="${manylinux_docker_image:-stellaraccident/manylinux2014_x86_64-bazel-5.1.0:latest}"
python_versions="${python_versions:-cp37-cp37m cp38-cp38 cp39-cp39 cp310-cp310}"
output_dir="${output_dir:-${this_dir}/wheelhouse}"
packages="${packages:-torch-mlir}"
function run_on_host() {
echo "Running on host"
echo "Launching docker image ${manylinux_docker_image}"
echo "Outputting to ${output_dir}"
rm -rf "${output_dir}"
mkdir -p "${output_dir}"
docker run --rm \
-v "${repo_root}:/main_checkout/torch-mlir" \
-v "${output_dir}:/wheelhouse" \
-e __MANYLINUX_BUILD_WHEELS_IN_DOCKER=1 \
-e "python_versions=${python_versions}" \
-e "packages=${packages}" \
${manylinux_docker_image} \
-- bash /main_checkout/torch-mlir/build_tools/python_deploy/build_linux_packages.sh
}
function run_in_docker() {
echo "Running in docker"
echo "Using python versions: ${python_versions}"
local orig_path="$PATH"
# Build phase.
for package in $packages; do
echo "******************** BUILDING PACKAGE ${package} ********************"
for python_version in $python_versions; do
python_dir="/opt/python/$python_version"
if ! [ -x "$python_dir/bin/python" ]; then
echo "ERROR: Could not find python: $python_dir (skipping)"
continue
fi
export PATH=$python_dir/bin:$orig_path
echo ":::: Python version $(python --version)"
case "$package" in
torch-mlir)
clean_wheels torch_mlir $python_version
build_torch_mlir
#run_audit_wheel torch_mlir $python_version
;;
*)
echo "Unrecognized package '$package'"
exit 1
;;
esac
done
done
}
function build_torch_mlir() {
CMAKE_GENERATOR=Ninja \
python -m pip wheel -v -w /wheelhouse /main_checkout/torch-mlir/ \
--extra-index-url https://download.pytorch.org/whl/nightly/cpu
}
function run_audit_wheel() {
local wheel_basename="$1"
local python_version="$2"
generic_wheel="/wheelhouse/${wheel_basename}-*-${python_version}-linux_x86_64.whl"
echo ":::: Auditwheel $generic_wheel"
auditwheel repair -w /wheelhouse $generic_wheel
rm $generic_wheel
}
function clean_wheels() {
local wheel_basename="$1"
local python_version="$2"
echo ":::: Clean wheels $wheel_basename $python_version"
rm -f /wheelhouse/${wheel_basename}-*-${python_version}-*.whl
}
# Trampoline to the docker container if running on the host.
if [ -z "${__MANYLINUX_BUILD_WHEELS_IN_DOCKER-}" ]; then
run_on_host "$@"
else
run_in_docker "$@"
fi