Add ARM64 release builds (#2159)

Creates a build_linux_arm64 job that builds the release on an arm64 self-hosted runner.
Drop Python 3.10 support
Pass  TM_TORCH_VERSION to choose the Stable PyTorch version (since arm64 doesn't have nightly builds)

Borrows nightly / stable Pytorch switch from the WIP
https://github.com/llvm/torch-mlir/pull/2038
pull/2173/head oneshot-20230526.116
powderluv 2023-05-25 20:39:19 -07:00 committed by GitHub
parent 69e993b03f
commit 9b7909b599
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3 changed files with 125 additions and 17 deletions

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@ -12,12 +12,12 @@ on:
jobs:
build_linux:
name: Manylinux Build
name: Manylinux x86_64 Build
runs-on: a100
strategy:
matrix:
package: [ torch-mlir, torch-mlir-core ]
py_version: [ cp38-cp38, cp310-cp310, cp311-cp311 ]
py_version: [ cp38-cp38, cp311-cp311 ]
exclude:
- package: torch-mlir-core
py_version: cp38-cp38
@ -47,7 +47,77 @@ jobs:
TM_PACKAGE_VERSION=${{ github.event.inputs.python_package_version }}
printf "TORCH_MLIR_PYTHON_PACKAGE_VERSION=%s\n" $TM_PACKAGE_VERSION > ./torch_mlir_package_version
TM_PYTHON_VERSIONS=${{ matrix.py_version }} TM_PACKAGES=${{ matrix.package }} ./build_tools/python_deploy/build_linux_packages.sh
# If we were given a release_id, then upload the package we just built
# to the github releases page.
- name: Upload Release Assets (if requested)
if: github.event.inputs.release_id != ''
id: upload-release-assets
uses: dwenegar/upload-release-assets@v1
env:
GITHUB_TOKEN: ${{ secrets.WORKFLOW_INVOCATION_TOKEN }}
with:
release_id: ${{ github.event.inputs.release_id }}
assets_path: ./build_tools/python_deploy/wheelhouse/torch*.whl
# Publishing is necessary to make the release visible to `pip`
# on the github releases page.
- name: Publish Release (if requested)
if: github.event.inputs.release_id != ''
id: publish_release
uses: eregon/publish-release@v1
env:
GITHUB_TOKEN: ${{ secrets.WORKFLOW_INVOCATION_TOKEN }}
with:
release_id: ${{ github.event.inputs.release_id }}
- name: Create dist directory
if: github.event.inputs.release_id != ''
run: mkdir dist
- name: Copy releases to publish to dist directory
if: github.event.inputs.release_id != ''
run: cp build_tools/python_deploy/wheelhouse/torch_mlir*.whl dist/
# Wheels must be published from a linux environment.
#
# See https://github.com/pypa/gh-action-pypi-publish/discussions/15
- name: Store the binary wheel
uses: actions/upload-artifact@v2
with:
name: wheels
path: dist
build_linux_arm64:
name: Manylinux arm64 Build
runs-on: linux-arm64
strategy:
matrix:
package: [ torch-mlir, torch-mlir-core ]
py_version: [ cp311-cp311 ]
steps:
- name: Prepare workspace
run: |
# Clear the workspace directory so that we don't run into errors about
# existing lock files.
sudo rm -rf $GITHUB_WORKSPACE/*
- name: Get torch-mlir
uses: actions/checkout@v3
with:
submodules: 'true'
fetch-depth: 0
- uses: ./.github/actions/setup-build
with:
cache-enabled: 'false'
- name: Build Python wheels and smoke test.
run: |
cd $GITHUB_WORKSPACE
python -m pip install wheel
TM_PACKAGE_VERSION=${{ github.event.inputs.python_package_version }}
printf "TORCH_MLIR_PYTHON_PACKAGE_VERSION=%s\n" $TM_PACKAGE_VERSION > ./torch_mlir_package_version
TM_PYTHON_VERSIONS=${{ matrix.py_version }} TM_PACKAGES=${{ matrix.package }} TM_TORCH_VERSION="stable" ./build_tools/python_deploy/build_linux_packages.sh
# If we were given a release_id, then upload the package we just built
# to the github releases page.
- name: Upload Release Assets (if requested)
@ -219,6 +289,7 @@ jobs:
runs-on: ubuntu-latest
needs:
- build_linux
- build_linux_arm64
- build_macos
- build_windows

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@ -57,6 +57,8 @@ TM_USE_PYTORCH_BINARY="${TM_USE_PYTORCH_BINARY:-ON}"
TM_SKIP_TESTS="${TM_SKIP_TESTS:-OFF}"
# Update ODS and abstract interpretation library files
TM_UPDATE_ODS_AND_ABSTRACT_INTERP_LIB="${TM_UPDATE_ODS_AND_ABSTRACT_INTERP_LIB:-OFF}"
# Determine if we use a stable or a nightly torch build
TM_TORCH_VERSION="${TM_TORCH_VERSION:-nightly}"
PKG_VER_FILE="${repo_root}"/torch_mlir_package_version ; [ -f "$PKG_VER_FILE" ] && . "$PKG_VER_FILE"
TORCH_MLIR_PYTHON_PACKAGE_VERSION="${TORCH_MLIR_PYTHON_PACKAGE_VERSION:-0.0.1}"
@ -131,6 +133,7 @@ function run_on_host() {
-e "TORCH_MLIR_SRC_PYTORCH_REPO=${TORCH_MLIR_SRC_PYTORCH_REPO}" \
-e "TORCH_MLIR_SRC_PYTORCH_BRANCH=${TORCH_MLIR_SRC_PYTORCH_BRANCH}" \
-e "TM_PYTORCH_INSTALL_WITHOUT_REBUILD=${TM_PYTORCH_INSTALL_WITHOUT_REBUILD}" \
-e "TM_TORCH_VERSION=${TM_TORCH_VERSION}" \
-e "CCACHE_DIR=/main_checkout/torch-mlir/.ccache" \
"${TM_CURRENT_DOCKER_IMAGE}" \
/bin/bash /main_checkout/torch-mlir/build_tools/python_deploy/build_linux_packages.sh
@ -157,7 +160,7 @@ function run_in_docker() {
case "$package" in
torch-mlir)
clean_wheels torch_mlir "$python_version"
build_torch_mlir
build_torch_mlir "$TM_TORCH_VERSION"
# Disable audit wheel until we can fix ODR torch issues. See
# https://github.com/llvm/torch-mlir/issues/1709
@ -173,14 +176,14 @@ function run_in_docker() {
clean_build torch_mlir_core "$python_version"
;;
out-of-tree)
setup_venv "$python_version"
setup_venv "$python_version" "$TM_TORCH_VERSION"
build_out_of_tree "$TM_USE_PYTORCH_BINARY" "$python_version"
if [ "${TM_SKIP_TESTS}" == "OFF" ]; then
test_out_of_tree
fi
;;
in-tree)
setup_venv "$python_version"
setup_venv "$python_version" "$TM_TORCH_VERSION"
build_in_tree "$TM_USE_PYTORCH_BINARY" "$python_version"
if [ "${TM_UPDATE_ODS_AND_ABSTRACT_INTERP_LIB}" == "ON" ]; then
pushd /main_checkout/torch-mlir
@ -295,7 +298,9 @@ function test_in_tree() {
function setup_venv() {
local python_version="$1"
echo ":::: Setting up VENV with Python: $python_version"
local torch_version="$2"
echo ":::: Setting up VENV with Python: $python_version PyTorch $torch_version"
python3 -m venv /main_checkout/torch-mlir/docker_venv
source /main_checkout/torch-mlir/docker_venv/bin/activate
@ -303,6 +308,23 @@ function setup_venv() {
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/externals/llvm-project/mlir/python/requirements.txt
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/requirements.txt
case $torch_version in
nightly)
echo ":::: Using nightly dependencies"
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/requirements.txt
;;
stable)
echo ":::: Using stable dependencies"
python3 -m pip install --no-cache-dir torch torchvision
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/build-requirements.txt
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/test-requirements.txt
;;
*)
echo "Unrecognized torch version '$torch_version'"
exit 1
;;
esac
}
function build_out_of_tree() {
@ -368,13 +390,31 @@ function clean_build() {
}
function build_torch_mlir() {
python -m pip install --no-cache-dir -r /main_checkout/torch-mlir/requirements.txt \
--extra-index-url https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
CMAKE_GENERATOR=Ninja \
TORCH_MLIR_PYTHON_PACKAGE_VERSION=${TORCH_MLIR_PYTHON_PACKAGE_VERSION} \
python -m pip wheel -v -w /wheelhouse /main_checkout/torch-mlir \
-f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html \
-r /main_checkout/torch-mlir/whl-requirements.txt
local torch_version="$1"
case $torch_version in
nightly)
echo ":::: Using nightly dependencies"
python -m pip install --no-cache-dir -r /main_checkout/torch-mlir/requirements.txt \
--extra-index-url https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
CMAKE_GENERATOR=Ninja \
TORCH_MLIR_PYTHON_PACKAGE_VERSION=${TORCH_MLIR_PYTHON_PACKAGE_VERSION} \
python -m pip wheel -v -w /wheelhouse /main_checkout/torch-mlir \
-f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html \
-r /main_checkout/torch-mlir/whl-requirements.txt
;;
stable)
echo ":::: Using stable dependencies"
python3 -m pip install --no-cache-dir torch torchvision
python3 -m pip install --no-cache-dir -r /main_checkout/torch-mlir/build-requirements.txt
CMAKE_GENERATOR=Ninja \
TORCH_MLIR_PYTHON_PACKAGE_VERSION=${TORCH_MLIR_PYTHON_PACKAGE_VERSION} \
python -m pip wheel -v -w /wheelhouse /main_checkout/torch-mlir
;;
*)
echo "Unrecognized torch version '$torch_version'"
exit 1
;;
esac
}
function run_audit_wheel() {

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@ -1,5 +1,2 @@
-f build-requirements.txt
-f pytorch-requirements.txt
# Packaging requirements.
packaging