Files
pytorch/.github/workflows/build-vllm-wheel.yml

250 lines
9.3 KiB
YAML

name: Build vLLM wheels
on:
push:
branches:
- main
paths:
- .github/workflows/build-vllm-wheel.yml
- .github/ci_commit_pins/vllm.txt
workflow_dispatch:
pull_request:
paths:
- .github/workflows/build-vllm-wheel.yml
- .github/ci_commit_pins/vllm.txt
schedule:
# every morning at 01:30PM UTC, 9:30AM EST, 6:30AM PST
- cron: 30 13 * * *
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
jobs:
build-wheel:
if: github.repository_owner == 'pytorch'
strategy:
fail-fast: false
matrix:
python-version: [ '3.12' ]
platform: [ 'manylinux_2_28_x86_64', 'manylinux_2_28_aarch64' ]
device: [ 'cu128', 'cu129', 'cu130' ]
include:
- platform: manylinux_2_28_x86_64
device: cu128
manylinux-image: 'pytorch/manylinux2_28-builder:cuda12.8'
runner: linux.12xlarge.memory
- platform: manylinux_2_28_x86_64
device: cu129
manylinux-image: 'pytorch/manylinux2_28-builder:cuda12.9'
runner: linux.12xlarge.memory
- platform: manylinux_2_28_x86_64
device: cu130
manylinux-image: 'pytorch/manylinux2_28-builder:cuda13.0'
runner: linux.12xlarge.memory
- platform: manylinux_2_28_aarch64
device: cu128
manylinux-image: 'pytorch/manylinuxaarch64-builder:cuda12.8'
runner: linux.arm64.r7g.12xlarge.memory
- platform: manylinux_2_28_aarch64
device: cu129
manylinux-image: 'pytorch/manylinuxaarch64-builder:cuda12.9'
runner: linux.arm64.r7g.12xlarge.memory
exclude:
# TODO (huydhn): Add cu130 aarch64 once PyTorch is on 2.9+ and
# xformers is update to support 13.0
- platform: manylinux_2_28_aarch64
device: cu130
name: "Build ${{ matrix.device }} vLLM wheel on ${{ matrix.platform }}"
runs-on: ${{ matrix.runner }}
timeout-minutes: 480
env:
PY_VERS: ${{ matrix.python-version }}
MANYLINUX_IMAGE: ${{ matrix.manylinux-image }}
PLATFORM: ${{ matrix.platform }}
BUILD_DEVICE: ${{ matrix.device }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Get latest PyTorch nightly
shell: bash
run: |
set -eux
# Determine python executable for given version (copied from build-triton-wheel)
case $PY_VERS in
3.10)
PYTHON_EXECUTABLE=/opt/python/cp310-cp310/bin/python
;;
3.11)
PYTHON_EXECUTABLE=/opt/python/cp311-cp311/bin/python
;;
3.12)
PYTHON_EXECUTABLE=/opt/python/cp312-cp312/bin/python
;;
3.13)
PYTHON_EXECUTABLE=/opt/python/cp313-cp313/bin/python
;;
3.13t)
PYTHON_EXECUTABLE=/opt/python/cp313-cp313t/bin/python
;;
3.14)
PYTHON_EXECUTABLE=/opt/python/cp314-cp314/bin/python
;;
3.14t)
PYTHON_EXECUTABLE=/opt/python/cp314-cp314t/bin/python
;;
*)
echo "Unsupported python version ${PY_VERS}"
exit 1
;;
esac
# Keep PyTorch nightly wheel here so that we can install it later during
# vLLM build process
mkdir -p "${RUNNER_TEMP}/artifacts/"
container_name=$(docker run \
--tty \
--detach \
-e PLATFORM \
-e PYTHON_EXECUTABLE="${PYTHON_EXECUTABLE}" \
-v "${GITHUB_WORKSPACE}:/pytorch" \
-v "${RUNNER_TEMP}/artifacts:/artifacts" \
-w /artifacts/ \
"${MANYLINUX_IMAGE}"
)
docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}" -mpip install \
--pre torch torchvision torchaudio \
--index-url "https://download.pytorch.org/whl/nightly/${BUILD_DEVICE}"
# I wonder if there is a command to both download and install the wheels
# in one go
docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}" -mpip download \
--pre torch torchvision torchaudio \
--index-url "https://download.pytorch.org/whl/nightly/${BUILD_DEVICE}"
# Save this for later
echo "container_name=${container_name}" >> "$GITHUB_ENV"
- name: Build vLLM wheel
uses: ./.github/actions/build-external-packages
with:
build-targets: vllm
docker-image: ${{ env.MANYLINUX_IMAGE }}
cuda-arch-list: '8.0;8.9;9.0;10.0;12.0'
torch-wheel-dir: ${{ runner.temp }}/artifacts
output-dir: ${{ runner.temp }}/artifacts/externals
- name: Prepare vLLM wheel
shell: bash
run: |
set -eux
# Get these wheels ready, the vllm renaming logic is copied from its .buildkite/scripts/upload-wheels.sh
docker exec -t "${container_name}" bash -c /pytorch/.github/scripts/prepare_vllm_wheels.sh
docker exec -t "${container_name}" chown -R 1000:1000 /artifacts
- uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874 # v4.4.0
with:
name: vllm-wheel-${{ matrix.device }}-${{ matrix.platform }}-${{ matrix.python-version }}
if-no-files-found: error
path: ${{ runner.temp }}/artifacts/externals/vllm/wheels/*.whl
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
# Copied from build-triton-wheel workflow (mostly)
upload-wheel:
name: "Upload ${{ matrix.device }} vLLM wheel on ${{ matrix.platform }}"
needs:
- build-wheel
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
platform: [ 'manylinux_2_28_x86_64', 'manylinux_2_28_aarch64' ]
device: [ 'cu128', 'cu129', 'cu130' ]
exclude:
# TODO (huydhn): Add cu130 aarch64 once PyTorch is on 2.9+ and
# xformers is update to support 13.0
- platform: manylinux_2_28_aarch64
device: cu130
env:
PLATFORM: ${{ matrix.platform }}
BUILD_DEVICE: ${{ matrix.device }}
permissions:
id-token: write
contents: read
container:
image: continuumio/miniconda3:4.12.0
environment: ${{ ((github.event_name == 'push' && github.event.ref == 'refs/heads/main') || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && 'nightly-wheel-upload' || '' }}
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Configure AWS credentials(PyTorch account) for main
if: ${{ (github.event_name == 'push' && github.event.ref == 'refs/heads/main') || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' }}
uses: aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 # v4.1.0
with:
role-to-assume: arn:aws:iam::749337293305:role/gha_workflow_nightly_build_wheels
aws-region: us-east-1
- name: Configure AWS credentials(PyTorch account) for RC builds
if: ${{ github.event_name == 'push' && (startsWith(github.event.ref, 'refs/tags/') && !startsWith(github.event.ref, 'refs/tags/ciflow/')) }}
uses: aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 # v4.1.0
with:
role-to-assume: arn:aws:iam::749337293305:role/gha_workflow_test_build_wheels
aws-region: us-east-1
- name: Download Build Artifacts
uses: actions/download-artifact@65a9edc5881444af0b9093a5e628f2fe47ea3b2e # v4.1.7
with:
# Download all available artifacts
path: ${{ runner.temp }}/artifacts-all
- name: Select Wheel Artifacts
shell: bash
run: |
set -eux
mkdir -p "${RUNNER_TEMP}/artifacts/"
mv "${RUNNER_TEMP}"/artifacts-all/vllm-wheel-"${BUILD_DEVICE}"-"${PLATFORM}"-*/* "${RUNNER_TEMP}/artifacts/"
- name: Set DRY_RUN
if: ${{ (github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v'))) || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' }}
shell: bash
run: |
echo "DRY_RUN=disabled" >> "$GITHUB_ENV"
- name: Set UPLOAD_CHANNEL
if: ${{ github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v') }}
shell: bash
run: |
set -ex
if [[ "${GITHUB_REF_NAME}" = *-rc[0-9]* ]]; then
echo "UPLOAD_CHANNEL=test" >> "$GITHUB_ENV"
fi
- name: Upload binaries
env:
PACKAGE_TYPE: wheel
UPLOAD_SUBFOLDER: ${{ env.BUILD_DEVICE }}
PKG_DIR: ${{ runner.temp }}/artifacts
shell: bash
run: |
set -ex
bash .circleci/scripts/binary_upload.sh