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Fix vectorized ops.masked (#130130) #1

Fix vectorized ops.masked (#130130)

Fix vectorized ops.masked (#130130) #1

name: Build Triton wheels
on:
push:
branches:
- main
tags:
# NOTE: Binary build pipelines should only get triggered on release candidate builds
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
paths:
- .github/workflows/build-triton-wheel.yml
- .github/scripts/build_triton_wheel.py
- .github/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton-rocm.txt
- .ci/docker/ci_commit_pins/triton-xpu.txt
pull_request:
paths:
- .github/workflows/build-triton-wheel.yml
- .github/scripts/build_triton_wheel.py
- .github/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton-rocm.txt
- .ci/docker/ci_commit_pins/triton-xpu.txt
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
jobs:
build-wheel:
name: "Build Triton Wheel"
runs-on: [self-hosted, linux.2xlarge]
strategy:
fail-fast: false
matrix:
py_vers: [ "3.8", "3.9", "3.10", "3.11", "3.12" ]
device: ["cuda", "rocm", "xpu"]
include:
- device: "rocm"
rocm_version: "6.1"
- device: "cuda"
rocm_version: ""
timeout-minutes: 40
env:
DOCKER_IMAGE: ${{ matrix.device == 'rocm' && format('pytorch/manylinux-rocm:{0}', matrix.rocm_version) || 'pytorch/manylinux-builder:cpu' }}
PY_VERS: ${{ matrix.py_vers }}
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: Pull Docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: ${{ env.DOCKER_IMAGE }}
- name: Build Triton wheel
env:
IS_RELEASE_TAG: ${{ startsWith(github.event.ref, 'refs/tags/v') }}
run: |
set -x
mkdir -p "${RUNNER_TEMP}/artifacts/"
container_name=$(docker run \
--tty \
--detach \
-v "${GITHUB_WORKSPACE}:/pytorch" \
-v "${RUNNER_TEMP}/artifacts:/artifacts" \
-w /artifacts/ \
"${DOCKER_IMAGE}" \
)
# Determine python executable for given version
case $PY_VERS in
3.8)
PYTHON_EXECUTABLE=/opt/python/cp38-cp38/bin/python
;;
3.9)
PYTHON_EXECUTABLE=/opt/python/cp39-cp39/bin/python
;;
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
;;
*)
echo "Unsupported python version ${PY_VERS}"
exit 1
;;
esac
RELEASE=""
if [[ "${IS_RELEASE_TAG}" == true ]]; then
RELEASE="--release"
fi
docker exec -t "${container_name}" yum install -y zlib-devel zip
docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}" -m pip install -U setuptools==67.4.0
# Triton xpu build use GCC11
if [[ "${BUILD_DEVICE}" == xpu ]]; then
docker exec -t "${container_name}" yum install -y devtoolset-11-gcc-c++
docker exec -t "${container_name}" bash -c "source /opt/rh/devtoolset-11/enable && ${PYTHON_EXECUTABLE} /pytorch/.github/scripts/build_triton_wheel.py --device=$BUILD_DEVICE $RELEASE"
else
docker exec -t "${container_name}" bash -c "${PYTHON_EXECUTABLE} /pytorch/.github/scripts/build_triton_wheel.py --device=$BUILD_DEVICE $RELEASE"
fi
docker exec -t "${container_name}" chown -R 1000.1000 /artifacts
- uses: actions/upload-artifact@v3
with:
name: pytorch-triton-wheel-${{ matrix.py_vers }}-${{ matrix.device }}
if-no-files-found: error
path: ${{ runner.temp }}/artifacts/*
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
upload-wheel:
runs-on: ubuntu-22.04
needs: build-wheel
permissions:
id-token: write
contents: read
container:
image: continuumio/miniconda3:4.12.0
environment: ${{ (github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v'))) && 'conda-aws-upload' || '' }}
steps:
- uses: actions/checkout@v3
- name: Configure AWS credentials(PyTorch account) for main
if: ${{ github.event_name == 'push' && github.event.ref == 'refs/heads/main' }}
uses: aws-actions/configure-aws-credentials@v3
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@v3
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@v3
with:
# Download all available artifacts
path: ${{ runner.temp }}/artifacts-all
- name: Select Wheel Artifacts
shell: bash
run: |
set -x
mkdir -p "${RUNNER_TEMP}/artifacts/"
mv "${RUNNER_TEMP}"/artifacts-all/pytorch-triton-wheel-*/* "${RUNNER_TEMP}/artifacts/"
- name: Set DRY_RUN (only for tagged pushes)
if: ${{ github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) }}
shell: bash
run: |
echo "DRY_RUN=disabled" >> "$GITHUB_ENV"
- name: Set UPLOAD_CHANNEL (only for tagged pushes)
if: ${{ github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v') }}
shell: bash
run: |
set -ex
# reference ends with an RC suffix
if [[ "${GITHUB_REF_NAME}" = *-rc[0-9]* ]]; then
echo "UPLOAD_CHANNEL=test" >> "$GITHUB_ENV"
fi
# NB: This step is gated by DRY_RUN, which is enabled everywhere except main and release branches
- name: Upload binaries
env:
PACKAGE_TYPE: wheel
# The UPLOAD_SUBFOLDER needs to be empty here so that triton wheels are uploaded
# to nightly or test
UPLOAD_SUBFOLDER: ""
PKG_DIR: ${{ runner.temp }}/artifacts
shell: bash
run: |
set -ex
bash .circleci/scripts/binary_upload.sh
build-conda:
name: "Build Triton Conda"
runs-on: [self-hosted, linux.2xlarge]
strategy:
fail-fast: false
matrix:
py_vers: [ "3.8", "3.9", "3.10", "3.11", "3.12" ]
timeout-minutes: 40
env:
DOCKER_IMAGE: pytorch/conda-builder:cpu
PY_VERS: ${{ matrix.py_vers }}
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: Pull Docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: ${{ env.DOCKER_IMAGE }}
- name: Build Triton conda package
env:
IS_RELEASE_TAG: ${{ startsWith(github.event.ref, 'refs/tags/v') }}
run: |
set -x
mkdir -p "${RUNNER_TEMP}/artifacts/"
container_name=$(docker run \
--tty \
--detach \
-v "${GITHUB_WORKSPACE}:/pytorch" \
-v "${RUNNER_TEMP}/artifacts:/artifacts" \
-w /artifacts/ \
"${DOCKER_IMAGE}" \
)
RELEASE=""
if [[ "${IS_RELEASE_TAG}" == true ]]; then
RELEASE="--release"
fi
docker exec -t "${container_name}" yum install -y llvm11 llvm11-devel llvm11-static llvm11-libs zlib-devel
docker exec -t "${container_name}" python /pytorch/.github/scripts/build_triton_wheel.py --build-conda --py-version="${PY_VERS}" $RELEASE
docker exec -t "${container_name}" chown -R 1000.1000 /artifacts
- uses: actions/upload-artifact@v3
with:
name: pytorch-triton-conda-${{ matrix.py_vers }}
if-no-files-found: error
path: ${{ runner.temp }}/artifacts/*
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
upload-conda:
runs-on: ubuntu-22.04
needs: build-conda
container:
image: continuumio/miniconda3:4.12.0
environment: ${{ (github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v'))) && 'conda-aws-upload' || '' }}
steps:
- uses: actions/checkout@v3
- name: Download Build Artifacts
uses: actions/download-artifact@v3
with:
# Download all available artifacts
path: ${{ runner.temp }}/artifacts-all
- name: Select Conda Artifacts
shell: bash
run: |
set -x
mkdir -p "${RUNNER_TEMP}/artifacts/"
mv "${RUNNER_TEMP}"/artifacts-all/pytorch-triton-conda-*/* "${RUNNER_TEMP}/artifacts/"
- name: Set DRY_RUN (only for tagged pushes)
if: ${{ github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) }}
shell: bash
run: |
echo "DRY_RUN=disabled" >> "$GITHUB_ENV"
- name: Set UPLOAD_CHANNEL (only for tagged pushes)
if: ${{ github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v') }}
shell: bash
run: |
set -ex
# reference ends with an RC suffix
if [[ "${GITHUB_REF_NAME}" = *-rc[0-9]* ]]; then
echo "UPLOAD_CHANNEL=test" >> "$GITHUB_ENV"
fi
# NB: This step is gated by DRY_RUN, which is enabled everywhere except nightly and release branches
- name: Upload binaries to Anaconda
env:
PACKAGE_TYPE: conda
PKG_DIR: ${{ runner.temp }}/artifacts
# When running these on pull_request events these should be blank
CONDA_PYTORCHBOT_TOKEN: ${{ secrets.CONDA_PYTORCHBOT_TOKEN }}
CONDA_PYTORCHBOT_TOKEN_TEST: ${{ secrets.CONDA_PYTORCHBOT_TOKEN_TEST }}
shell: bash
run: |
set -ex
if [[ "${UPLOAD_CHANNEL:-nightly}" == "nightly" ]]; then
export ANACONDA_API_TOKEN="${CONDA_PYTORCHBOT_TOKEN}"
else
export ANACONDA_API_TOKEN="${CONDA_PYTORCHBOT_TOKEN_TEST}"
fi
bash .circleci/scripts/binary_upload.sh