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1265 changed files with 29368 additions and 60073 deletions

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@ -136,9 +136,6 @@ def complete_wheel(folder: str) -> str:
"""
wheel_name = list_dir(f"/{folder}/dist")[0]
# Please note for cuda we don't run auditwheel since we use custom script to package
# the cuda dependencies to the wheel file using update_wheel() method.
# However we need to make sure filename reflects the correct Manylinux platform.
if "pytorch" in folder and not enable_cuda:
print("Repairing Wheel with AuditWheel")
check_call(["auditwheel", "repair", f"dist/{wheel_name}"], cwd=folder)
@ -150,14 +147,7 @@ def complete_wheel(folder: str) -> str:
f"/{folder}/dist/{repaired_wheel_name}",
)
else:
repaired_wheel_name = wheel_name.replace(
"linux_aarch64", "manylinux_2_28_aarch64"
)
print(f"Renaming {wheel_name} wheel to {repaired_wheel_name}")
os.rename(
f"/{folder}/dist/{wheel_name}",
f"/{folder}/dist/{repaired_wheel_name}",
)
repaired_wheel_name = wheel_name
print(f"Copying {repaired_wheel_name} to artifacts")
shutil.copy2(

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@ -44,8 +44,6 @@ FROM base as cuda
ARG CUDA_VERSION=12.4
RUN rm -rf /usr/local/cuda-*
ADD ./common/install_cuda.sh install_cuda.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
ENV CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
# Preserve CUDA_VERSION for the builds
ENV CUDA_VERSION=${CUDA_VERSION}

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@ -1,60 +1,82 @@
#!/usr/bin/env bash
# Script used only in CD pipeline
set -exou pipefail
set -eou pipefail
image="$1"
shift
if [ -z "${image}" ]; then
echo "Usage: $0 IMAGENAME:ARCHTAG"
echo "Usage: $0 IMAGE"
exit 1
fi
# Go from imagename:tag to tag
DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
DOCKER_IMAGE_NAME="pytorch/${image}"
CUDA_VERSION=""
if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
# extract cuda version from image name and tag. e.g. manylinux2_28-builder:cuda12.8 returns 12.8
CUDA_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
fi
case ${DOCKER_TAG_PREFIX} in
cpu)
BASE_TARGET=base
;;
cuda*)
BASE_TARGET=cuda${CUDA_VERSION}
;;
*)
echo "ERROR: Unknown docker tag ${DOCKER_TAG_PREFIX}"
exit 1
;;
esac
# TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
# is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
sudo systemctl daemon-reload
sudo systemctl restart docker
export DOCKER_BUILDKIT=1
TOPDIR=$(git rev-parse --show-toplevel)
tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
docker build \
--target final \
--progress plain \
--build-arg "BASE_TARGET=${BASE_TARGET}" \
--build-arg "CUDA_VERSION=${CUDA_VERSION}" \
--build-arg "DEVTOOLSET_VERSION=11" \
-t ${tmp_tag} \
$@ \
-f "${TOPDIR}/.ci/docker/almalinux/Dockerfile" \
${TOPDIR}/.ci/docker/
CUDA_VERSION=${CUDA_VERSION:-12.1}
if [ -n "${CUDA_VERSION}" ]; then
case ${CUDA_VERSION} in
cpu)
BASE_TARGET=base
DOCKER_TAG=cpu
;;
all)
BASE_TARGET=all_cuda
DOCKER_TAG=latest
;;
*)
BASE_TARGET=cuda${CUDA_VERSION}
DOCKER_TAG=cuda${CUDA_VERSION}
;;
esac
(
set -x
# TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
# is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
sudo systemctl daemon-reload
sudo systemctl restart docker
docker build \
--target final \
--progress plain \
--build-arg "BASE_TARGET=${BASE_TARGET}" \
--build-arg "CUDA_VERSION=${CUDA_VERSION}" \
--build-arg "DEVTOOLSET_VERSION=11" \
-t ${DOCKER_IMAGE_NAME} \
$@ \
-f "${TOPDIR}/.ci/docker/almalinux/Dockerfile" \
${TOPDIR}/.ci/docker/
)
if [[ "${DOCKER_TAG}" =~ ^cuda* ]]; then
# Test that we're using the right CUDA compiler
docker run --rm "${tmp_tag}" nvcc --version | grep "cuda_${CUDA_VERSION}"
(
set -x
docker run --rm "${DOCKER_IMAGE_NAME}" nvcc --version | grep "cuda_${CUDA_VERSION}"
)
fi
GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
GIT_BRANCH_NAME=${GITHUB_REF##*/}
GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE_NAME}-${GIT_BRANCH_NAME}
DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE_NAME}-${GIT_COMMIT_SHA}
if [[ "${WITH_PUSH:-}" == true ]]; then
(
set -x
docker push "${DOCKER_IMAGE_NAME}"
if [[ -n ${GITHUB_REF} ]]; then
docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_BRANCH_TAG}
docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_SHA_TAG}
docker push "${DOCKER_IMAGE_BRANCH_TAG}"
docker push "${DOCKER_IMAGE_SHA_TAG}"
fi
)
fi

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@ -460,18 +460,10 @@ if [[ "$image" == *cuda* && ${OS} == "ubuntu" ]]; then
fi
fi
no_cache_flag=""
progress_flag=""
# Do not use cache and progress=plain when in CI
if [[ -n "${CI:-}" ]]; then
no_cache_flag="--no-cache"
progress_flag="--progress=plain"
fi
# Build image
docker build \
${no_cache_flag} \
${progress_flag} \
--no-cache \
--progress=plain \
--build-arg "BUILD_ENVIRONMENT=${image}" \
--build-arg "PROTOBUF=${PROTOBUF:-}" \
--build-arg "LLVMDEV=${LLVMDEV:-}" \
@ -523,7 +515,7 @@ docker build \
UBUNTU_VERSION=$(echo ${UBUNTU_VERSION} | sed 's/-rc$//')
function drun() {
docker run --rm "$tmp_tag" "$@"
docker run --rm "$tmp_tag" $*
}
if [[ "$OS" == "ubuntu" ]]; then
@ -571,14 +563,3 @@ if [ -n "$KATEX" ]; then
exit 1
fi
fi
HAS_TRITON=$(drun python -c "import triton" > /dev/null 2>&1 && echo "yes" || echo "no")
if [[ -n "$TRITON" || -n "$TRITON_CPU" ]]; then
if [ "$HAS_TRITON" = "no" ]; then
echo "expecting triton to be installed, but it is not"
exit 1
fi
elif [ "$HAS_TRITON" = "yes" ]; then
echo "expecting triton to not be installed, but it is"
exit 1
fi

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@ -68,7 +68,7 @@ COPY ./common/install_rocm.sh install_rocm.sh
RUN bash ./install_rocm.sh
RUN rm install_rocm.sh
COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh ${ROCM_VERSION}
RUN bash ./install_rocm_magma.sh
RUN rm install_rocm_magma.sh
COPY ./common/install_amdsmi.sh install_amdsmi.sh
RUN bash ./install_amdsmi.sh

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@ -1 +1 @@
381ae5d57d35c165d98df728380b20fbde350392
cedf52aa8e4df879886270a5920da6fe84cbaa67

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@ -62,7 +62,7 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
# libstdcxx from conda default channels are too old, we need GLIBCXX_3.4.30
# which is provided in libstdcxx 12 and up.
conda_install libstdcxx-ng=12.3.0 --update-deps -c conda-forge
conda_install libstdcxx-ng=12.3.0 -c conda-forge
# Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
if [[ $(uname -m) == "aarch64" ]]; then

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@ -2,6 +2,7 @@
set -ex
NCCL_VERSION=v2.26.2-1
CUDNN_VERSION=9.5.1.17
function install_cusparselt_040 {
@ -39,7 +40,8 @@ function install_cusparselt_063 {
function install_118 {
CUDNN_VERSION=9.1.0.70
echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.4.0"
NCCL_VERSION=v2.21.5-1
echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.4.0"
rm -rf /usr/local/cuda-11.8 /usr/local/cuda
# install CUDA 11.8.0 in the same container
wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
@ -57,7 +59,14 @@ function install_118 {
cd ..
rm -rf tmp_cudnn
CUDA_VERSION=11.8 bash install_nccl.sh
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
cd nccl && make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
cd ..
rm -rf nccl
install_cusparselt_040
@ -66,7 +75,7 @@ function install_118 {
function install_124 {
CUDNN_VERSION=9.1.0.70
echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.2"
echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.2"
rm -rf /usr/local/cuda-12.4 /usr/local/cuda
# install CUDA 12.4.1 in the same container
wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux.run
@ -84,7 +93,14 @@ function install_124 {
cd ..
rm -rf tmp_cudnn
CUDA_VERSION=12.4 bash install_nccl.sh
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
cd nccl && make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
cd ..
rm -rf nccl
install_cusparselt_062
@ -92,7 +108,7 @@ function install_124 {
}
function install_126 {
echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
rm -rf /usr/local/cuda-12.6 /usr/local/cuda
# install CUDA 12.6.3 in the same container
wget -q https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda_12.6.3_560.35.05_linux.run
@ -110,7 +126,14 @@ function install_126 {
cd ..
rm -rf tmp_cudnn
CUDA_VERSION=12.6 bash install_nccl.sh
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
cd nccl && make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
cd ..
rm -rf nccl
install_cusparselt_063
@ -218,7 +241,7 @@ function prune_126 {
function install_128 {
CUDNN_VERSION=9.8.0.87
echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
rm -rf /usr/local/cuda-12.8 /usr/local/cuda
# install CUDA 12.8.0 in the same container
wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux.run
@ -236,7 +259,14 @@ function install_128 {
cd ..
rm -rf tmp_cudnn
CUDA_VERSION=12.8 bash install_nccl.sh
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
cd nccl && make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
cd ..
rm -rf nccl
install_cusparselt_063

View File

@ -3,6 +3,7 @@
set -ex
NCCL_VERSION=v2.26.2-1
CUDNN_VERSION=9.8.0.87
function install_cusparselt_063 {
@ -17,7 +18,7 @@ function install_cusparselt_063 {
}
function install_128 {
echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
rm -rf /usr/local/cuda-12.8 /usr/local/cuda
# install CUDA 12.8.0 in the same container
wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux_sbsa.run
@ -35,7 +36,14 @@ function install_128 {
cd ..
rm -rf tmp_cudnn
CUDA_VERSION=12.8 bash install_nccl.sh
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git
cd nccl && make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
cd ..
rm -rf nccl
install_cusparselt_063

View File

@ -50,7 +50,8 @@ setup_executorch() {
pushd executorch
export PYTHON_EXECUTABLE=python
export CMAKE_ARGS="-DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
export EXECUTORCH_BUILD_PYBIND=ON
export CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
as_jenkins .ci/scripts/setup-linux.sh --build-tool cmake || true
popd

View File

@ -35,9 +35,7 @@ git clone https://github.com/halide/Halide.git
pushd Halide
git checkout ${COMMIT} && git submodule update --init --recursive
pip_install -r requirements.txt
# NOTE: pybind has a requirement for cmake > 3.5 so set the minimum cmake version here with a flag
# Context: https://github.com/pytorch/pytorch/issues/150420
cmake -G Ninja -DCMAKE_POLICY_VERSION_MINIMUM=3.5 -DCMAKE_BUILD_TYPE=Release -S . -B build
cmake -G Ninja -DCMAKE_BUILD_TYPE=Release -S . -B build
cmake --build build
test -e ${CONDA_PREFIX}/lib/python3 || ln -s python${ANACONDA_PYTHON_VERSION} ${CONDA_PREFIX}/lib/python3
cmake --install build --prefix ${CONDA_PREFIX}

View File

@ -1,26 +0,0 @@
#!/bin/bash
set -ex
NCCL_VERSION=""
if [[ ${CUDA_VERSION:0:2} == "11" ]]; then
NCCL_VERSION=$(cat ci_commit_pins/nccl-cu11.txt)
elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
NCCL_VERSION=$(cat ci_commit_pins/nccl-cu12.txt)
else
echo "Unexpected CUDA_VERSION ${CUDA_VERSION}"
exit 1
fi
if [[ -n "${NCCL_VERSION}" ]]; then
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
pushd nccl
make -j src.build
cp -a build/include/* /usr/local/cuda/include/
cp -a build/lib/* /usr/local/cuda/lib64/
popd
rm -rf nccl
ldconfig
fi

View File

@ -19,13 +19,6 @@ install_ubuntu() {
apt-get install -y libc++1
apt-get install -y libc++abi1
# Make sure rocm packages from repo.radeon.com have highest priority
cat << EOF > /etc/apt/preferences.d/rocm-pin-600
Package: *
Pin: release o=repo.radeon.com
Pin-Priority: 600
EOF
# Add amdgpu repository
UBUNTU_VERSION_NAME=`cat /etc/os-release | grep UBUNTU_CODENAME | awk -F= '{print $2}'`
echo "deb [arch=amd64] https://repo.radeon.com/amdgpu/${ROCM_VERSION}/ubuntu ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/amdgpu.list

View File

@ -25,7 +25,9 @@ python3 -m pip install meson ninja
###########################
### clone repo
###########################
GIT_SSL_NO_VERIFY=true git clone https://gitlab.freedesktop.org/mesa/drm.git
# TEMPORARY FIX: https://gitlab.freedesktop.org/mesa/drm.git is down until 2025/03/22
# GIT_SSL_NO_VERIFY=true git clone https://gitlab.freedesktop.org/mesa/drm.git
GIT_SSL_NO_VERIFY=true git clone git://anongit.freedesktop.org/mesa/drm
pushd drm
###########################

View File

@ -1,32 +1,50 @@
#!/usr/bin/env bash
# Script used only in CD pipeline
#!/bin/bash
# Script used in CI and CD pipeline
set -eou pipefail
set -ex
function do_install() {
rocm_version=$1
rocm_version_nodot=${1//./}
# Magma build scripts need `python`
ln -sf /usr/bin/python3 /usr/bin/python
# Version 2.7.2 + ROCm related updates
MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
magma_archive="magma-rocm${rocm_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
case "$ID" in
almalinux)
yum install -y gcc-gfortran
;;
*)
echo "No preinstalls to build magma..."
;;
esac
rocm_dir="/opt/rocm"
(
set -x
tmp_dir=$(mktemp -d)
pushd ${tmp_dir}
curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
if tar -xvf "${magma_archive}"
then
mkdir -p "${rocm_dir}/magma"
mv include "${rocm_dir}/magma/include"
mv lib "${rocm_dir}/magma/lib"
else
echo "${magma_archive} not found, skipping magma install"
fi
popd
)
}
MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
do_install $1
# "install" hipMAGMA into /opt/rocm/magma by copying after build
git clone https://bitbucket.org/icl/magma.git
pushd magma
# Version 2.7.2 + ROCm related updates
git checkout a1625ff4d9bc362906bd01f805dbbe12612953f6
cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
if [[ -f "${MKLROOT}/lib/libmkl_core.a" ]]; then
echo 'LIB = -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group -lpthread -lstdc++ -lm -lgomp -lhipblas -lhipsparse' >> make.inc
fi
echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib -ldl' >> make.inc
echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
export PATH="${PATH}:/opt/rocm/bin"
if [[ -n "$PYTORCH_ROCM_ARCH" ]]; then
amdgpu_targets=`echo $PYTORCH_ROCM_ARCH | sed 's/;/ /g'`
else
amdgpu_targets=`rocm_agent_enumerator | grep -v gfx000 | sort -u | xargs`
fi
for arch in $amdgpu_targets; do
echo "DEVCCFLAGS += --offload-arch=$arch" >> make.inc
done
# hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
make -f make.gen.hipMAGMA -j $(nproc)
LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT="${MKLROOT}"
make testing/testing_dgemm -j $(nproc) MKLROOT="${MKLROOT}"
popd
mv magma /opt/rocm

View File

@ -2,12 +2,6 @@
set -ex
mkdir -p /opt/triton
if [ -z "${TRITON}" ] && [ -z "${TRITON_CPU}" ]; then
echo "TRITON and TRITON_CPU are not set. Exiting..."
exit 0
fi
source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
get_conda_version() {
@ -58,7 +52,6 @@ cd triton
as_jenkins git checkout ${TRITON_PINNED_COMMIT}
as_jenkins git submodule update --init --recursive
cd python
pip_install pybind11==2.13.6
# TODO: remove patch setup.py once we have a proper fix for https://github.com/triton-lang/triton/issues/4527
as_jenkins sed -i -e 's/https:\/\/tritonlang.blob.core.windows.net\/llvm-builds/https:\/\/oaitriton.blob.core.windows.net\/public\/llvm-builds/g' setup.py
@ -67,22 +60,17 @@ if [ -n "${UBUNTU_VERSION}" ] && [ -n "${GCC_VERSION}" ] && [[ "${GCC_VERSION}"
# Triton needs at least gcc-9 to build
apt-get install -y g++-9
CXX=g++-9 conda_run python setup.py bdist_wheel
CXX=g++-9 pip_install .
elif [ -n "${UBUNTU_VERSION}" ] && [ -n "${CLANG_VERSION}" ]; then
# Triton needs <filesystem> which surprisingly is not available with clang-9 toolchain
add-apt-repository -y ppa:ubuntu-toolchain-r/test
apt-get install -y g++-9
CXX=g++-9 conda_run python setup.py bdist_wheel
CXX=g++-9 pip_install .
else
conda_run python setup.py bdist_wheel
pip_install .
fi
# Copy the wheel to /opt for multi stage docker builds
cp dist/*.whl /opt/triton
# Install the wheel for docker builds that don't use multi stage
pip_install dist/*.whl
if [ -n "${CONDA_CMAKE}" ]; then
# TODO: This is to make sure that the same cmake and numpy version from install conda
# script is used. Without this step, the newer cmake version (3.25.2) downloaded by

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@ -49,8 +49,6 @@ RUN bash ./install_mkl.sh && rm install_mkl.sh
FROM cpu as cuda
ADD ./common/install_cuda.sh install_cuda.sh
ADD ./common/install_magma.sh install_magma.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
ENV CUDA_HOME /usr/local/cuda
FROM cuda as cuda11.8
@ -74,7 +72,6 @@ RUN bash ./install_magma.sh 12.8
RUN ln -sf /usr/local/cuda-12.8 /usr/local/cuda
FROM cpu as rocm
ARG ROCM_VERSION
ARG PYTORCH_ROCM_ARCH
ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
ENV MKLROOT /opt/intel
@ -89,11 +86,11 @@ ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
# gfortran and python needed for building magma from source for ROCm
RUN apt-get update -y && \
apt-get install gfortran -y && \
apt-get install python3 python-is-python3 -y && \
apt-get install python -y && \
apt-get clean
RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
FROM ${BASE_TARGET} as final
COPY --from=openssl /opt/openssl /opt/openssl

View File

@ -1,63 +1,83 @@
#!/usr/bin/env bash
# Script used only in CD pipeline
set -eoux pipefail
set -eou pipefail
image="$1"
shift
if [ -z "${image}" ]; then
echo "Usage: $0 IMAGENAME:ARCHTAG"
echo "Usage: $0 IMAGE"
exit 1
fi
DOCKER_IMAGE="pytorch/${image}"
TOPDIR=$(git rev-parse --show-toplevel)
GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
WITH_PUSH=${WITH_PUSH:-}
DOCKER=${DOCKER:-docker}
# Go from imagename:tag to tag
DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
GPU_ARCH_VERSION=""
if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
# extract cuda version from image name. e.g. manylinux2_28-builder:cuda12.8 returns 12.8
GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
# extract rocm version from image name. e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
fi
case ${DOCKER_TAG_PREFIX} in
case ${GPU_ARCH_TYPE} in
cpu)
BASE_TARGET=cpu
DOCKER_TAG=cpu
GPU_IMAGE=ubuntu:20.04
DOCKER_GPU_BUILD_ARG=""
;;
cuda*)
cuda)
BASE_TARGET=cuda${GPU_ARCH_VERSION}
DOCKER_TAG=cuda${GPU_ARCH_VERSION}
GPU_IMAGE=ubuntu:20.04
DOCKER_GPU_BUILD_ARG=""
;;
rocm*)
rocm)
BASE_TARGET=rocm
GPU_IMAGE=rocm/dev-ubuntu-22.04:${GPU_ARCH_VERSION}-complete
DOCKER_TAG=rocm${GPU_ARCH_VERSION}
GPU_IMAGE=rocm/dev-ubuntu-20.04:${GPU_ARCH_VERSION}-complete
PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg ROCM_VERSION=${GPU_ARCH_VERSION}"
DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}"
;;
*)
echo "ERROR: Unrecognized DOCKER_TAG_PREFIX: ${DOCKER_TAG_PREFIX}"
echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
exit 1
;;
esac
tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
DOCKER_BUILDKIT=1 ${DOCKER} build \
--target final \
${DOCKER_GPU_BUILD_ARG} \
--build-arg "GPU_IMAGE=${GPU_IMAGE}" \
--build-arg "BASE_TARGET=${BASE_TARGET}" \
-t "${tmp_tag}" \
$@ \
-f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
"${TOPDIR}/.ci/docker/"
(
set -x
DOCKER_BUILDKIT=1 ${DOCKER} build \
--target final \
${DOCKER_GPU_BUILD_ARG} \
--build-arg "GPU_IMAGE=${GPU_IMAGE}" \
--build-arg "BASE_TARGET=${BASE_TARGET}" \
-t "${DOCKER_IMAGE}" \
$@ \
-f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
"${TOPDIR}/.ci/docker/"
)
GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
GIT_BRANCH_NAME=${GITHUB_REF##*/}
GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}
DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
if [[ "${WITH_PUSH}" == true ]]; then
(
set -x
${DOCKER} push "${DOCKER_IMAGE}"
if [[ -n ${GITHUB_REF} ]]; then
${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
${DOCKER} push "${DOCKER_IMAGE_BRANCH_TAG}"
${DOCKER} push "${DOCKER_IMAGE_SHA_TAG}"
fi
)
fi

View File

@ -30,9 +30,7 @@ RUN bash ./install_python.sh && rm install_python.sh /opt/requirements-ci.txt
# Install cuda and cudnn
ARG CUDA_VERSION
COPY ./common/install_cuda.sh install_cuda.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
ENV DESIRED_CUDA ${CUDA_VERSION}
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH

View File

@ -64,9 +64,7 @@ FROM base as cuda
ARG BASE_CUDA_VERSION=10.2
# Install CUDA
ADD ./common/install_cuda.sh install_cuda.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
FROM base as intel
# MKL
@ -197,6 +195,6 @@ RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
# cmake3 is needed for the MIOpen build
RUN ln -sf /usr/local/bin/cmake /usr/bin/cmake3
ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
ADD ./common/install_miopen.sh install_miopen.sh
RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

View File

@ -36,9 +36,7 @@ FROM base as cuda
ARG BASE_CUDA_VERSION=11.8
# Install CUDA
ADD ./common/install_cuda.sh install_cuda.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu*
RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
FROM base as intel
# MKL
@ -160,7 +158,7 @@ ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
ENV MKLROOT /opt/intel
ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
ADD ./common/install_miopen.sh install_miopen.sh
RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

View File

@ -67,9 +67,7 @@ FROM base as cuda
ARG BASE_CUDA_VERSION
# Install CUDA
ADD ./common/install_cuda_aarch64.sh install_cuda_aarch64.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh install_nccl.sh ci_commit_pins/nccl-cu*
RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh
FROM base as magma
ARG BASE_CUDA_VERSION

View File

@ -1,7 +1,7 @@
#!/usr/bin/env bash
# Script used only in CD pipeline
set -exou pipefail
set -eou pipefail
TOPDIR=$(git rev-parse --show-toplevel)
@ -9,110 +9,152 @@ image="$1"
shift
if [ -z "${image}" ]; then
echo "Usage: $0 IMAGE:ARCHTAG"
echo "Usage: $0 IMAGE"
exit 1
fi
# Go from imagename:tag to tag
DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
DOCKER_IMAGE="pytorch/${image}"
GPU_ARCH_VERSION=""
if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
# extract cuda version from image name. e.g. manylinux2_28-builder:cuda12.8 returns 12.8
GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
# extract rocm version from image name. e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
fi
DOCKER_REGISTRY="${DOCKER_REGISTRY:-docker.io}"
GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
MANY_LINUX_VERSION=${MANY_LINUX_VERSION:-}
DOCKERFILE_SUFFIX=${DOCKERFILE_SUFFIX:-}
WITH_PUSH=${WITH_PUSH:-}
case ${image} in
manylinux2_28-builder:cpu)
case ${GPU_ARCH_TYPE} in
cpu)
TARGET=cpu_final
DOCKER_TAG=cpu
GPU_IMAGE=centos:7
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
;;
cpu-manylinux_2_28)
TARGET=cpu_final
DOCKER_TAG=cpu
GPU_IMAGE=amd64/almalinux:8
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
MANY_LINUX_VERSION="2_28"
;;
manylinuxaarch64-builder:cpu-aarch64)
cpu-aarch64)
TARGET=final
DOCKER_TAG=cpu-aarch64
GPU_IMAGE=arm64v8/centos:7
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=10"
MANY_LINUX_VERSION="aarch64"
;;
manylinux2_28_aarch64-builder:cpu-aarch64)
cpu-aarch64-2_28)
TARGET=final
DOCKER_TAG=cpu-aarch64
GPU_IMAGE=arm64v8/almalinux:8
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11 --build-arg NINJA_VERSION=1.12.1"
MANY_LINUX_VERSION="2_28_aarch64"
;;
manylinuxcxx11-abi-builder:cpu-cxx11-abi)
cpu-cxx11-abi)
TARGET=final
DOCKER_TAG=cpu-cxx11-abi
GPU_IMAGE=""
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
MANY_LINUX_VERSION="cxx11-abi"
;;
manylinuxs390x-builder:cpu-s390x)
cpu-s390x)
TARGET=final
DOCKER_TAG=cpu-s390x
GPU_IMAGE=s390x/almalinux:8
DOCKER_GPU_BUILD_ARG=""
MANY_LINUX_VERSION="s390x"
;;
manylinux2_28-builder:cuda*)
cuda)
TARGET=cuda_final
DOCKER_TAG=cuda${GPU_ARCH_VERSION}
# Keep this up to date with the minimum version of CUDA we currently support
GPU_IMAGE=centos:7
DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=9"
;;
cuda-manylinux_2_28)
TARGET=cuda_final
DOCKER_TAG=cuda${GPU_ARCH_VERSION}
GPU_IMAGE=amd64/almalinux:8
DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
MANY_LINUX_VERSION="2_28"
;;
manylinuxaarch64-builder:cuda*)
cuda-aarch64)
TARGET=cuda_final
DOCKER_TAG=cuda${GPU_ARCH_VERSION}
GPU_IMAGE=arm64v8/centos:7
DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
MANY_LINUX_VERSION="aarch64"
DOCKERFILE_SUFFIX="_cuda_aarch64"
;;
manylinux2_28-builder:rocm*)
rocm|rocm-manylinux_2_28)
TARGET=rocm_final
DOCKER_TAG=rocm${GPU_ARCH_VERSION}
GPU_IMAGE=rocm/dev-centos-7:${GPU_ARCH_VERSION}-complete
DEVTOOLSET_VERSION="9"
MANY_LINUX_VERSION="2_28"
DEVTOOLSET_VERSION="11"
GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
if [ ${GPU_ARCH_TYPE} == "rocm-manylinux_2_28" ]; then
MANY_LINUX_VERSION="2_28"
DEVTOOLSET_VERSION="11"
GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
fi
PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
DOCKER_GPU_BUILD_ARG="--build-arg ROCM_VERSION=${GPU_ARCH_VERSION} --build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg DEVTOOLSET_VERSION=${DEVTOOLSET_VERSION}"
;;
manylinux2_28-builder:xpu)
xpu)
TARGET=xpu_final
DOCKER_TAG=xpu
GPU_IMAGE=amd64/almalinux:8
DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
MANY_LINUX_VERSION="2_28"
;;
*)
echo "ERROR: Unrecognized image name: ${image}"
echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
exit 1
;;
esac
IMAGES=''
if [[ -n ${MANY_LINUX_VERSION} && -z ${DOCKERFILE_SUFFIX} ]]; then
DOCKERFILE_SUFFIX=_${MANY_LINUX_VERSION}
fi
# Only activate this if in CI
if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
# TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
# is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
sudo systemctl daemon-reload
sudo systemctl restart docker
(
set -x
# Only activate this if in CI
if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
# TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
# is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
sudo systemctl daemon-reload
sudo systemctl restart docker
fi
DOCKER_BUILDKIT=1 docker build \
${DOCKER_GPU_BUILD_ARG} \
--build-arg "GPU_IMAGE=${GPU_IMAGE}" \
--target "${TARGET}" \
-t "${DOCKER_IMAGE}" \
$@ \
-f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
"${TOPDIR}/.ci/docker/"
)
GITHUB_REF=${GITHUB_REF:-"dev")}
GIT_BRANCH_NAME=${GITHUB_REF##*/}
GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}
DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
if [[ "${WITH_PUSH}" == true ]]; then
(
set -x
docker push "${DOCKER_IMAGE}"
if [[ -n ${GITHUB_REF} ]]; then
docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
docker push "${DOCKER_IMAGE_BRANCH_TAG}"
docker push "${DOCKER_IMAGE_SHA_TAG}"
fi
)
fi
tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
DOCKER_BUILDKIT=1 docker build \
${DOCKER_GPU_BUILD_ARG} \
--build-arg "GPU_IMAGE=${GPU_IMAGE}" \
--target "${TARGET}" \
-t "${tmp_tag}" \
$@ \
-f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
"${TOPDIR}/.ci/docker/"

View File

@ -1,20 +1,15 @@
sphinx==5.3.0
#Description: This is used to generate PyTorch docs
#Pinned versions: 5.3.0
-e git+https://github.com/pytorch/pytorch_sphinx_theme.git@a98ffecb792d50df495be401becbf5c414421423#egg=pytorch_sphinx_theme2
-e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme
# TODO: sphinxcontrib.katex 0.9.0 adds a local KaTeX server to speed up pre-rendering
# but it doesn't seem to work and hangs around idly. The initial thought is probably
# something related to Docker setup. We can investigate this later
sphinxcontrib.katex==0.8.6
#Description: This is used to generate PyTorch docs
#Pinned versions: 0.8.6
sphinxext-opengraph==0.9.1
#Description: This is used to generate PyTorch docs
#Pinned versions: 0.9.1
matplotlib==3.5.3
#Description: This is used to generate PyTorch docs
#Pinned versions: 3.5.3
@ -51,6 +46,5 @@ myst-nb==0.17.2
# The following are required to build torch.distributed.elastic.rendezvous.etcd* docs
python-etcd==0.4.5
sphinx-copybutton==0.5.0
sphinx-design==0.4.0
sphinxcontrib-mermaid==1.0.0
sphinx-panels==0.4.1
myst-parser==0.18.1

View File

@ -2,7 +2,7 @@ ARG UBUNTU_VERSION
ARG CUDA_VERSION
ARG IMAGE_NAME
FROM ${IMAGE_NAME} as base
FROM ${IMAGE_NAME}
ARG UBUNTU_VERSION
ARG CUDA_VERSION
@ -90,20 +90,14 @@ RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
RUN rm install_cmake.sh
ARG TRITON
FROM base as triton-builder
# Install triton, this needs to be done before sccache because the latter will
# try to reach out to S3, which docker build runners don't have access
COPY ./common/install_triton.sh install_triton.sh
COPY ./common/common_utils.sh common_utils.sh
COPY ci_commit_pins/triton.txt triton.txt
COPY triton_version.txt triton_version.txt
RUN bash ./install_triton.sh
FROM base as final
COPY --from=triton-builder /opt/triton /opt/triton
RUN if [ -n "${TRITON}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
RUN rm -rf /opt/triton
RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
ARG HALIDE
# Build and install halide
@ -158,16 +152,6 @@ COPY ./common/install_cusparselt.sh install_cusparselt.sh
RUN bash install_cusparselt.sh
RUN rm install_cusparselt.sh
# Install NCCL
ARG CUDA_VERSION
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash install_nccl.sh
RUN rm install_nccl.sh /ci_commit_pins/nccl-cu*
ENV USE_SYSTEM_NCCL=1
ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
# Install CUDSS
ARG CUDA_VERSION
COPY ./common/install_cudss.sh install_cudss.sh

View File

@ -63,7 +63,7 @@ COPY ./common/install_rocm.sh install_rocm.sh
RUN bash ./install_rocm.sh
RUN rm install_rocm.sh
COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
RUN bash ./install_rocm_magma.sh ${ROCM_VERSION}
RUN bash ./install_rocm_magma.sh
RUN rm install_rocm_magma.sh
ADD ./common/install_miopen.sh install_miopen.sh
RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

View File

@ -1,6 +1,6 @@
ARG UBUNTU_VERSION
FROM ubuntu:${UBUNTU_VERSION} as base
FROM ubuntu:${UBUNTU_VERSION}
ARG UBUNTU_VERSION
@ -52,16 +52,9 @@ RUN bash ./install_lcov.sh && rm install_lcov.sh
# Install cuda and cudnn
ARG CUDA_VERSION
COPY ./common/install_cuda.sh install_cuda.sh
COPY ./common/install_nccl.sh install_nccl.sh
COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
ENV DESIRED_CUDA ${CUDA_VERSION}
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
# No effect if cuda not installed
ENV USE_SYSTEM_NCCL=1
ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
# (optional) Install UCC
ARG UCX_COMMIT
@ -115,21 +108,20 @@ RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_d
RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
ARG TRITON
ARG TRITON_CPU
# Create a separate stage for building Triton and Triton-CPU. install_triton
# will check for the presence of env vars
FROM base as triton-builder
# Install triton, this needs to be done before sccache because the latter will
# try to reach out to S3, which docker build runners don't have access
COPY ./common/install_triton.sh install_triton.sh
COPY ./common/common_utils.sh common_utils.sh
COPY ci_commit_pins/triton.txt triton.txt
COPY ci_commit_pins/triton-cpu.txt triton-cpu.txt
RUN bash ./install_triton.sh
RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
RUN rm install_triton.sh common_utils.sh triton.txt
FROM base as final
COPY --from=triton-builder /opt/triton /opt/triton
RUN if [ -n "${TRITON}" ] || [ -n "${TRITON_CPU}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
RUN rm -rf /opt/triton
ARG TRITON_CPU
COPY ./common/install_triton.sh install_triton.sh
COPY ./common/common_utils.sh common_utils.sh
COPY ci_commit_pins/triton-cpu.txt triton-cpu.txt
RUN if [ -n "${TRITON_CPU}" ]; then bash ./install_triton.sh; fi
RUN rm install_triton.sh common_utils.sh triton-cpu.txt
ARG EXECUTORCH
# Build and install executorch

View File

@ -1,7 +1,7 @@
SHELL=/usr/bin/env bash
DOCKER_CMD ?= docker
DESIRED_ROCM ?= 6.4
DESIRED_ROCM ?= 6.3
DESIRED_ROCM_SHORT = $(subst .,,$(DESIRED_ROCM))
PACKAGE_NAME = magma-rocm
# inherit this from underlying docker image, do not pass this env var to docker
@ -16,7 +16,6 @@ DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
magma-rocm/build_magma.sh
.PHONY: all
all: magma-rocm64
all: magma-rocm63
all: magma-rocm624
@ -25,11 +24,6 @@ clean:
$(RM) -r magma-*
$(RM) -r output
.PHONY: magma-rocm64
magma-rocm64: DESIRED_ROCM := 6.4
magma-rocm64:
$(DOCKER_RUN)
.PHONY: magma-rocm63
magma-rocm63: DESIRED_ROCM := 6.3
magma-rocm63:

View File

@ -301,18 +301,6 @@ else
fi
pip_install_whl "$(echo dist/*.whl)"
if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
echo "Checking that xpu is compiled"
pushd dist/
if python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'; then
echo "XPU support is compiled in."
else
echo "XPU support is NOT compiled in."
exit 1
fi
popd
fi
# TODO: I'm not sure why, but somehow we lose verbose commands
set -x

View File

@ -59,6 +59,16 @@ else
export install_root="$(dirname $(which python))/../lib/python${py_dot}/site-packages/torch/"
fi
###############################################################################
# Setup XPU ENV
###############################################################################
if [[ "$DESIRED_CUDA" == 'xpu' ]]; then
set +u
# Refer https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
source /opt/intel/oneapi/compiler/latest/env/vars.sh
source /opt/intel/oneapi/pti/latest/env/vars.sh
fi
###############################################################################
# Check GCC ABI
###############################################################################
@ -216,14 +226,6 @@ else
fi
fi
###############################################################################
# Check XPU configured correctly
###############################################################################
if [[ "$DESIRED_CUDA" == 'xpu' && "$PACKAGE_TYPE" != 'libtorch' ]]; then
echo "Checking that xpu is compiled"
python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'
fi
###############################################################################
# Check CUDA configured correctly
###############################################################################
@ -309,12 +311,6 @@ if [[ "$(uname)" == 'Linux' && "$PACKAGE_TYPE" == 'manywheel' ]]; then
# Per https://gcc.gnu.org/onlinedocs/gcc/C_002b_002b-Dialect-Options.html gcc-11 is ABI16
# Though manylinux_2.28 should have been build with gcc-14, per
# https://github.com/pypa/manylinux?tab=readme-ov-file#manylinux_2_28-almalinux-8-based
# On s390x gcc 14 is used because it contains fix for interaction
# between precompiled headers and vectorization builtins.
# This fix is not available in earlier gcc versions.
# gcc-14 uses ABI19.
if [[ "$(uname -m)" != "s390x" ]]; then
python -c "import torch; exit(0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1016' else 1)"
fi
python -c "import torch; exit(0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1016' else 1)"
popd
fi

View File

@ -33,15 +33,56 @@ if which sccache > /dev/null; then
export PATH="${tmp_dir}:$PATH"
fi
print_cmake_info
if [[ ${BUILD_ENVIRONMENT} == *"distributed"* ]]; then
# Needed for inductor benchmarks, as lots of HF networks make `torch.distribtued` calls
USE_DISTRIBUTED=1 USE_OPENMP=1 WERROR=1 python setup.py bdist_wheel
else
cross_compile_arm64() {
# Cross compilation for arm64
# Explicitly set USE_DISTRIBUTED=0 to align with the default build config on mac. This also serves as the sole CI config that tests
# that building with USE_DISTRIBUTED=0 works at all. See https://github.com/pytorch/pytorch/issues/86448
USE_DISTRIBUTED=0 CMAKE_OSX_ARCHITECTURES=arm64 MACOSX_DEPLOYMENT_TARGET=11.0 USE_MKLDNN=OFF USE_QNNPACK=OFF WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
}
compile_arm64() {
# Compilation for arm64
# TODO: Compile with OpenMP support (but this causes CI regressions as cross-compilation were done with OpenMP disabled)
USE_DISTRIBUTED=0 USE_OPENMP=1 MACOSX_DEPLOYMENT_TARGET=11.0 WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
}
compile_x86_64() {
USE_DISTRIBUTED=0 WERROR=1 python setup.py bdist_wheel --plat-name=macosx_10_9_x86_64
}
build_lite_interpreter() {
echo "Testing libtorch (lite interpreter)."
CPP_BUILD="$(pwd)/../cpp_build"
# Ensure the removal of the tmp directory
trap 'rm -rfv ${CPP_BUILD}' EXIT
rm -rf "${CPP_BUILD}"
mkdir -p "${CPP_BUILD}/caffe2"
# It looks libtorch need to be built in "${CPP_BUILD}/caffe2 folder.
BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
pushd "${CPP_BUILD}/caffe2" || exit
VERBOSE=1 DEBUG=1 python "${BUILD_LIBTORCH_PY}"
popd || exit
"${CPP_BUILD}/caffe2/build/bin/test_lite_interpreter_runtime"
}
print_cmake_info
if [[ ${BUILD_ENVIRONMENT} = *arm64* ]]; then
if [[ $(uname -m) == "arm64" ]]; then
compile_arm64
else
cross_compile_arm64
fi
elif [[ ${BUILD_ENVIRONMENT} = *lite-interpreter* ]]; then
export BUILD_LITE_INTERPRETER=1
build_lite_interpreter
else
compile_x86_64
fi
if which sccache > /dev/null; then
print_sccache_stats
fi

View File

@ -221,39 +221,25 @@ test_torchbench_smoketest() {
TEST_REPORTS_DIR=$(pwd)/test/test-reports
mkdir -p "$TEST_REPORTS_DIR"
local backend=eager
local dtype=notset
local device=mps
local models=(hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152 sam pytorch_unet stable_diffusion_text_encoder moco speech_transformer)
for backend in eager inductor; do
touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
for dtype in notset float16 bfloat16; do
echo "Launching torchbench inference performance run for backend ${backend} and dtype ${dtype}"
local dtype_arg="--${dtype}"
if [ "$dtype" == notset ]; then
dtype_arg="--float32"
fi
touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
for model in "${models[@]}"; do
PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
--performance --only "$model" --backend "$backend" --inference --devices "$device" "$dtype_arg" \
--output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv" || true
done
done
for dtype in notset amp; do
echo "Launching torchbench training performance run for backend ${backend} and dtype ${dtype}"
touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
local dtype_arg="--${dtype}"
if [ "$dtype" == notset ]; then
dtype_arg="--float32"
fi
for model in "${models[@]}"; do
PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
--performance --only "$model" --backend "$backend" --training --devices "$device" "$dtype_arg" \
--output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv" || true
done
done
echo "Setup complete, launching torchbench training performance run"
for model in hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152; do
PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
--performance --only "$model" --backend "$backend" --training --devices "$device" \
--output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
done
echo "Launching torchbench inference performance run"
for model in hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152; do
PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
--performance --only "$model" --backend "$backend" --inference --devices "$device" \
--output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
done
echo "Pytorch benchmark on mps device completed"

View File

@ -119,6 +119,12 @@ popd
git rm -rf "$install_path" || true
mv "$pt_checkout/docs/build/html" "$install_path"
# Prevent Google from indexing $install_path/_modules. This folder contains
# generated source files.
# NB: the following only works on gnu sed. The sed shipped with mac os is different.
# One can `brew install gnu-sed` on a mac and then use "gsed" instead of "sed".
find "$install_path/_modules" -name "*.html" -print0 | xargs -0 sed -i '/<head>/a \ \ <meta name="robots" content="noindex">'
git add "$install_path" || true
git status
git config user.email "soumith+bot@pytorch.org"

View File

@ -227,10 +227,7 @@ def compare_pypi_to_torch_versions(
def smoke_test_cuda(
package: str,
runtime_error_check: str,
torch_compile_check: str,
pypi_pkg_check: str,
package: str, runtime_error_check: str, torch_compile_check: str
) -> None:
if not torch.cuda.is_available() and is_cuda_system:
raise RuntimeError(f"Expected CUDA {gpu_arch_ver}. However CUDA is not loaded.")
@ -262,25 +259,21 @@ def smoke_test_cuda(
)
print(f"torch cuda: {torch.version.cuda}")
print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
torch_cudnn_version = cudnn_to_version_str(torch.backends.cudnn.version())
compare_pypi_to_torch_versions(
"cudnn", find_pypi_package_version("nvidia-cudnn"), torch_cudnn_version
)
torch.cuda.init()
print("CUDA initialized successfully")
print(f"Number of CUDA devices: {torch.cuda.device_count()}")
for i in range(torch.cuda.device_count()):
print(f"Device {i}: {torch.cuda.get_device_name(i)}")
print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
torch_cudnn_version = cudnn_to_version_str(torch.backends.cudnn.version())
print(f"Torch cuDNN version: {torch_cudnn_version}")
# nccl is availbale only on Linux
if sys.platform in ["linux", "linux2"]:
torch_nccl_version = ".".join(str(v) for v in torch.cuda.nccl.version())
print(f"Torch nccl; version: {torch_nccl_version}")
# Pypi dependencies are installed on linux ony and nccl is availbale only on Linux.
if pypi_pkg_check == "enabled" and sys.platform in ["linux", "linux2"]:
compare_pypi_to_torch_versions(
"cudnn", find_pypi_package_version("nvidia-cudnn"), torch_cudnn_version
)
compare_pypi_to_torch_versions(
"nccl", find_pypi_package_version("nvidia-nccl"), torch_nccl_version
)
@ -442,13 +435,6 @@ def parse_args():
choices=["enabled", "disabled"],
default="enabled",
)
parser.add_argument(
"--pypi-pkg-check",
help="Check pypi package versions cudnn and nccl",
type=str,
choices=["enabled", "disabled"],
default="enabled",
)
return parser.parse_args()
@ -473,10 +459,7 @@ def main() -> None:
smoke_test_modules()
smoke_test_cuda(
options.package,
options.runtime_error_check,
options.torch_compile_check,
options.pypi_pkg_check,
options.package, options.runtime_error_check, options.torch_compile_check
)

View File

@ -1173,7 +1173,7 @@ build_xla() {
apply_patches
SITE_PACKAGES="$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
# These functions are defined in .circleci/common.sh in pytorch/xla repo
retry install_pre_deps_pytorch_xla $XLA_DIR $USE_CACHE
retry install_deps_pytorch_xla $XLA_DIR $USE_CACHE
CMAKE_PREFIX_PATH="${SITE_PACKAGES}/torch:${CMAKE_PREFIX_PATH}" XLA_SANDBOX_BUILD=1 build_torch_xla $XLA_DIR
assert_git_not_dirty
}
@ -1474,7 +1474,8 @@ test_executorch() {
pushd /executorch
export PYTHON_EXECUTABLE=python
export CMAKE_ARGS="-DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
export EXECUTORCH_BUILD_PYBIND=ON
export CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
# For llama3
bash examples/models/llama3_2_vision/install_requirements.sh

View File

@ -90,17 +90,8 @@ fi
/pytorch/.ci/pytorch/check_binary.sh
if [[ "\$GPU_ARCH_TYPE" != *s390x* && "\$GPU_ARCH_TYPE" != *xpu* && "\$GPU_ARCH_TYPE" != *rocm* && "$PACKAGE_TYPE" != libtorch ]]; then
torch_pkg_size="$(ls -1 /final_pkgs/torch-* | sort |tail -1 |xargs wc -c |cut -d ' ' -f1)"
# todo: implement check for large binaries
# if the package is larger than 1.5GB, we disable the pypi check.
# this package contains all libraries packaged in torch libs folder
# example of such package is https://download.pytorch.org/whl/cu126_full/torch
if [[ "\$torch_pkg_size" -gt 1500000000 ]]; then
python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled --pypi-pkg-check disabled
else
python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled $extra_parameters
fi
# Exclude s390, xpu, rocm and libtorch builds from smoke testing
python /pytorch/.ci/pytorch/smoke_test/smoke_test.py --package=torchonly --torch-compile-check disabled
fi
# Clean temp files

View File

@ -0,0 +1,22 @@
#!/bin/bash
set -eux -o pipefail
source "${BINARY_ENV_FILE:-/c/w/env}"
mkdir -p "$PYTORCH_FINAL_PACKAGE_DIR"
export USE_SCCACHE=1
export SCCACHE_IGNORE_SERVER_IO_ERROR=1
echo "Free space on filesystem before build:"
df -h
export NIGHTLIES_PYTORCH_ROOT="$PYTORCH_ROOT"
if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
pytorch/.ci/pytorch/windows/arm64/build_libtorch.bat
elif [[ "$PACKAGE_TYPE" == 'wheel' ]]; then
pytorch/.ci/pytorch/windows/arm64/build_pytorch.bat
fi
echo "Free space on filesystem after build:"
df -h

View File

@ -0,0 +1,6 @@
#!/bin/bash
set -eux -o pipefail
source "${BINARY_ENV_FILE:-/c/w/env}"
pytorch/.ci/pytorch/windows/arm64/smoke_test.bat

View File

@ -4,13 +4,11 @@ set -eux -o pipefail
source "${BINARY_ENV_FILE:-/c/w/env}"
mkdir -p "$PYTORCH_FINAL_PACKAGE_DIR"
if [[ "$OS" != "windows-arm64" ]]; then
export CUDA_VERSION="${DESIRED_CUDA/cu/}"
export USE_SCCACHE=1
export SCCACHE_BUCKET=ossci-compiler-cache
export SCCACHE_IGNORE_SERVER_IO_ERROR=1
export VC_YEAR=2022
fi
export CUDA_VERSION="${DESIRED_CUDA/cu/}"
export USE_SCCACHE=1
export SCCACHE_BUCKET=ossci-compiler-cache
export SCCACHE_IGNORE_SERVER_IO_ERROR=1
export VC_YEAR=2022
if [[ "$DESIRED_CUDA" == 'xpu' ]]; then
export USE_SCCACHE=0
@ -23,16 +21,7 @@ df -h
pushd "$PYTORCH_ROOT/.ci/pytorch/"
export NIGHTLIES_PYTORCH_ROOT="$PYTORCH_ROOT"
if [[ "$OS" == "windows-arm64" ]]; then
if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
./windows/arm64/build_libtorch.bat
elif [[ "$PACKAGE_TYPE" == 'wheel' ]]; then
./windows/arm64/build_pytorch.bat
fi
else
./windows/internal/build_wheels.bat
fi
./windows/internal/build_wheels.bat
echo "Free space on filesystem after build:"
df -h

View File

@ -11,11 +11,6 @@ if [[ "$DESIRED_CUDA" == 'xpu' ]]; then
fi
pushd "$PYTORCH_ROOT/.ci/pytorch/"
if [[ "$OS" == "windows-arm64" ]]; then
./windows/arm64/smoke_test.bat
else
./windows/internal/smoke_test.bat
fi
./windows/internal/smoke_test.bat
popd

View File

@ -52,6 +52,7 @@ modernize-*,
-modernize-macro-to-enum,
-modernize-return-braced-init-list,
-modernize-use-auto,
-modernize-use-default-member-init,
-modernize-use-using,
-modernize-use-trailing-return-type,
-modernize-use-nodiscard,

View File

@ -1,14 +0,0 @@
root = true
[*]
end_of_line = lf
insert_final_newline = true
# Python
[*.py]
indent_style = space
indent_size = 4
# Make
[Makefile]
indent_style = tab

View File

@ -20,7 +20,7 @@ body:
- Don't compare indices of max/min etc, because that avoids the above requirement
- When comparing eager and torch.compile, use a higher precision result as a baseline. `torch._dynamo.utils.same` with fp64_ref will handle this comparison.
- If comparing eager and torch.compile at fp16/bf16, you should use fp32 as baseline
- Ensure rng state used to compare results is equivalent. Use `torch._inductor.config.fallback_random=True` and reset the torch rng seed between comparisons

View File

@ -3,6 +3,9 @@ self-hosted-runner:
# GitHub hosted runner that actionlint doesn't recognize because actionlint version (1.6.21) is too old
- ubuntu-24.04
# GitHub hosted x86 Linux runners
# TODO: Cleanup mentions of linux.20_04 when upgrade to linux.24_04 is complete
- linux.20_04.4x
- linux.20_04.16x
- linux.24_04.4x
- linux.24_04.16x
# Organization-wide AWS Linux Runners
@ -45,14 +48,10 @@ self-hosted-runner:
- windows.g5.4xlarge.nvidia.gpu
# Windows ARM64 runners
- windows-11-arm64
# Organization-wide AMD-hosted runners
# MI2xx runners
# Organization-wide AMD hosted runners
- linux.rocm.gpu
- linux.rocm.gpu.2
- linux.rocm.gpu.4
# MI300 runners
- linux.rocm.gpu.mi300.2
- linux.rocm.gpu.mi300.4
- rocm-docker
# Repo-specific Apple hosted runners
- macos-m1-ultra

View File

@ -1,70 +0,0 @@
name: Binary docker build
description: Build docker image for binary builds
inputs:
docker-image-name:
description: Docker image name for PR builds
required: true
docker-build-dir:
description: Location of the build.sh relative to .ci/docker
required: true
custom-tag-prefix:
description: Custom tag prefix for the docker image
required: false
DOCKER_TOKEN:
description: Docker token for authentication
required: true
DOCKER_ID:
description: Docker ID for authentication
required: true
runs:
using: composite
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: ${{ inputs.docker-image-name }}
docker-build-dir: .ci/docker
custom-tag-prefix: ${{ inputs.custom-tag-prefix }}
docker-build-script: ${{ inputs.docker-build-dir }}/build.sh
always-rebuild: true
push: true
- name: Tag and (if WITH_PUSH) push docker image to docker.io
env:
DOCKER_TOKEN: ${{ inputs.DOCKER_TOKEN }}
DOCKER_ID: ${{ inputs.DOCKER_ID }}
DOCKER_IMAGE_NAME: ${{ inputs.docker-image-name }}
DOCKER_IMAGE_PREFIX: ${{ inputs.custom-tag-prefix }}
CREATED_FULL_DOCKER_IMAGE_NAME: ${{ steps.calculate-docker-image.outputs.docker-image }}
shell: bash
run: |
set -euox pipefail
GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
GIT_BRANCH_NAME=${GITHUB_REF##*/}
GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
CI_FOLDER_SHA=$(git rev-parse HEAD:.ci/docker)
DOCKER_IMAGE_NAME_PREFIX=docker.io/pytorch/${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_PREFIX}
docker tag ${CREATED_FULL_DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_NAME_PREFIX}
docker tag ${CREATED_FULL_DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_NAME_PREFIX}-${GIT_BRANCH_NAME}
docker tag ${CREATED_FULL_DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_NAME_PREFIX}-${GIT_COMMIT_SHA}
docker tag ${CREATED_FULL_DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_NAME_PREFIX}-${CI_FOLDER_SHA}
# Pretty sure Github will mask tokens and I'm not sure if it will even be
# printed due to pipe, but just in case
set +x
if [[ ${WITH_PUSH:-false} == "true" ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
docker push ${DOCKER_IMAGE_NAME_PREFIX}
docker push ${DOCKER_IMAGE_NAME_PREFIX}-${GIT_BRANCH_NAME}
docker push ${DOCKER_IMAGE_NAME_PREFIX}-${GIT_COMMIT_SHA}
docker push ${DOCKER_IMAGE_NAME_PREFIX}-${CI_FOLDER_SHA}
fi

View File

@ -48,8 +48,14 @@ runs:
run: |
# Remove any previous usage logs if they exist
rm -f logs-*.zip
zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
# this workflow is also run in bazel build test, but we dont generate usage reports for it
# so check to see if the file exists first
if [ -f 'usage_log.txt' ]; then
zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt'
fi
if find "test/test-reports" -name "*.log" 2>/dev/null | grep -q .; then
zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log'
fi
- name: Zip debugging artifacts for upload
if: runner.os != 'Windows' && !inputs.use-gha

View File

@ -1 +1 @@
bccaa454a54c3c648697cc2f46a4fb0500b1f01b
318bace01aebc1f82ae13d0d133fcf9fede73383

View File

@ -1 +1 @@
ac9a39f4b768cef09b9d2be8e074be496d7783b6
b2b890e962f5fb6f481e5da2eb4a43bb990d0f1b

19
.github/labeler.yml vendored
View File

@ -112,22 +112,3 @@
- torch/csrc/inductor/aoti_include/xpu.h
- torch/csrc/inductor/cpp_wrapper/device_internal/xpu.h
- torch/csrc/inductor/cpp_wrapper/xpu.h
"release notes: inductor (aoti)":
- torch/_C/_aoti.pyi
- torch/_dynamo/repro/aoti.py
- torch/_export/serde/aoti_schema.py
- torch/_higher_order_ops/aoti_call_delegate.py
- torch/_inductor/codegen/aoti_runtime/**
- torch/_inductor/codegen/aoti_hipify_utils.py
- torch/_inductor/codegen/cpp_wrapper_cpu.py
- torch/_inductor/codegen/cpp_wrapper_gpu.py
- torch/_inductor/aoti_eager.py
- torch/csrc/inductor/aoti_runtime/**
- torch/csrc/inductor/aoti_torch/**
- torch/csrc/inductor/aoti_runner/**
- torch/csrc/inductor/aoti_eager/**
- torch/csrc/inductor/aoti_package/**
- torch/csrc/inductor/aoti_include/**
- torchgen/aoti/**
- torchgen/gen_aoti_c_shim.py

View File

@ -540,7 +540,6 @@
- bdhirsh
- zou3519
- isuruf
- Chillee
mandatory_checks_name:
- EasyCLA
- Lint

View File

@ -16,7 +16,6 @@ ciflow_push_tags:
- ciflow/mps
- ciflow/nightly
- ciflow/periodic
- ciflow/periodic-rocm-mi300
- ciflow/rocm
- ciflow/rocm-mi300
- ciflow/s390

View File

@ -30,7 +30,7 @@ CUDA_ARCHES_CUDNN_VERSION = {
}
# NOTE: Also update the ROCm sources in tools/nightly.py when changing this list
ROCM_ARCHES = ["6.3", "6.4"]
ROCM_ARCHES = ["6.2.4", "6.3"]
XPU_ARCHES = ["xpu"]
@ -173,7 +173,7 @@ WHEEL_CONTAINER_IMAGES = {
"xpu": f"pytorch/manylinux2_28-builder:xpu-{DEFAULT_TAG}",
"cpu": f"pytorch/manylinux2_28-builder:cpu-{DEFAULT_TAG}",
"cpu-aarch64": f"pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-{DEFAULT_TAG}",
"cpu-s390x": "pytorch/manylinuxs390x-builder:cpu-s390x",
"cpu-s390x": f"pytorch/manylinuxs390x-builder:cpu-s390x-{DEFAULT_TAG}",
}
RELEASE = "release"

View File

@ -227,6 +227,42 @@ WINDOWS_BINARY_BUILD_WORKFLOWS = [
isolated_workflow=True,
),
),
]
WINDOWS_BINARY_SMOKE_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
build_variant=generate_binary_build_matrix.RELEASE,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.RELEASE,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
build_variant=generate_binary_build_matrix.DEBUG,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.DEBUG,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
isolated_workflow=True,
),
),
]
WINDOWS_ARM64_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS_ARM64,
package_type="wheel",
@ -258,7 +294,6 @@ WINDOWS_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS_ARM64,
package_type="libtorch",
build_variant=generate_binary_build_matrix.DEBUG,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS_ARM64,
generate_binary_build_matrix.DEBUG,
@ -272,39 +307,6 @@ WINDOWS_BINARY_BUILD_WORKFLOWS = [
),
]
WINDOWS_BINARY_SMOKE_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
build_variant=generate_binary_build_matrix.RELEASE,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.RELEASE,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
build_variant=generate_binary_build_matrix.DEBUG,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.DEBUG,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
isolated_workflow=True,
),
),
]
MACOS_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.MACOS_ARM64,
@ -399,6 +401,10 @@ def main() -> None:
jinja_env.get_template("windows_binary_build_workflow.yml.j2"),
WINDOWS_BINARY_SMOKE_WORKFLOWS,
),
(
jinja_env.get_template("windows_arm64_binary_build_workflow.yml.j2"),
WINDOWS_ARM64_BINARY_BUILD_WORKFLOWS,
),
(
jinja_env.get_template("macos_binary_build_workflow.yml.j2"),
MACOS_BINARY_BUILD_WORKFLOWS,

97
.github/scripts/s390x-ci/tests_list.py vendored Executable file
View File

@ -0,0 +1,97 @@
#!/usr/bin/env python3
import os
import re
import sys
sys.path.insert(1, os.path.join(sys.path[0], "..", "..", ".."))
from tools.testing.discover_tests import TESTS
skip_list = [
# these tests fail due to various reasons
"dynamo/test_misc",
"inductor/test_aot_inductor",
"inductor/test_cpu_repro",
"inductor/test_cpu_select_algorithm",
"inductor/test_aot_inductor_arrayref",
"inductor/test_torchinductor_codegen_dynamic_shapes",
"lazy/test_meta_kernel",
"onnx/test_utility_funs",
"profiler/test_profiler",
"test_ao_sparsity",
"test_cpp_extensions_open_device_registration",
"test_jit",
"test_metal",
"test_mps",
"dynamo/test_torchrec",
"inductor/test_aot_inductor_utils",
"inductor/test_coordinate_descent_tuner",
"test_jiterator",
# these tests run long and fail in addition to that
"dynamo/test_dynamic_shapes",
"test_quantization",
"inductor/test_torchinductor",
"inductor/test_torchinductor_dynamic_shapes",
"inductor/test_torchinductor_opinfo",
"test_binary_ufuncs",
"test_unary_ufuncs",
# these tests fail when cuda is not available
"inductor/test_cudacodecache",
"inductor/test_inductor_utils",
"inductor/test_inplacing_pass",
"inductor/test_kernel_benchmark",
"inductor/test_max_autotune",
"inductor/test_move_constructors_to_cuda",
"inductor/test_multi_kernel",
"inductor/test_pattern_matcher",
"inductor/test_perf",
"inductor/test_select_algorithm",
"inductor/test_snode_runtime",
"inductor/test_triton_wrapper",
# these tests fail when mkldnn is not available
"inductor/test_custom_post_grad_passes",
"inductor/test_mkldnn_pattern_matcher",
# lacks quantization support
"onnx/test_models_quantized_onnxruntime",
"onnx/test_pytorch_onnx_onnxruntime",
# https://github.com/pytorch/pytorch/issues/102078
"test_decomp",
# https://github.com/pytorch/pytorch/issues/146698
"test_model_exports_to_core_aten",
# runs very long, skip for now
"inductor/test_layout_optim",
"test_fx",
# some false errors
"doctests",
]
skip_list_regex = [
# distributed tests fail randomly
"distributed/.*",
]
all_testfiles = sorted(TESTS)
filtered_testfiles = []
for filename in all_testfiles:
if filename in skip_list:
continue
regex_filtered = False
for regex_string in skip_list_regex:
if re.fullmatch(regex_string, filename):
regex_filtered = True
break
if regex_filtered:
continue
filtered_testfiles.append(filename)
for filename in filtered_testfiles:
print(' "' + filename + '",')

View File

@ -434,7 +434,7 @@ query ($owner: String!, $name: String!) {
RE_GHSTACK_HEAD_REF = re.compile(r"^(gh/[^/]+/[0-9]+/)head$")
RE_GHSTACK_DESC = re.compile(r"Stack.*:\r?\n(\* [^\r\n]+\r?\n)+", re.MULTILINE)
RE_PULL_REQUEST_RESOLVED = re.compile(
r"(Pull Request resolved|Pull-Request-resolved): "
r"Pull Request resolved: "
r"https://github.com/(?P<owner>[^/]+)/(?P<repo>[^/]+)/pull/(?P<number>[0-9]+)",
re.MULTILINE,
)

View File

@ -54,8 +54,7 @@ cmake .. -DGPU_TARGET="%GPU_TARGET%" ^
-DCMAKE_BUILD_TYPE=%CONFIG% ^
-DCMAKE_GENERATOR=Ninja ^
-DCMAKE_INSTALL_PREFIX=..\install\ ^
-DCUDA_ARCH_LIST="%CUDA_ARCH_LIST%" ^
-DCMAKE_POLICY_VERSION_MINIMUM=3.5
-DCUDA_ARCH_LIST="%CUDA_ARCH_LIST%"
if errorlevel 1 exit /b 1
cmake --build . --target install --config %CONFIG% -- -j%NUMBER_OF_PROCESSORS%

View File

@ -9,8 +9,7 @@ if "%PY_VERS%" == "3.13t" (
) else (
call conda create -n %PYTHON_PREFIX% -y -c=conda-forge python=%PY_VERS%
)
:: Fix cmake version for issue https://github.com/pytorch/pytorch/issues/150480
call conda run -n %PYTHON_PREFIX% pip install wheel pybind11 certifi cython cmake==3.31.6 setuptools==72.1.0 ninja
call conda run -n %PYTHON_PREFIX% pip install wheel pybind11 certifi cython cmake setuptools==72.1.0 ninja
dir "%VC_INSTALL_PATH%"

View File

@ -0,0 +1,197 @@
{% import 'common.yml.j2' as common %}
{% import 'upload.yml.j2' as upload %}
{%- block name -%}
# Template is at: .github/templates/windows_arm64_binary_build_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
name: !{{ build_environment }}
{%- endblock %}
{%- macro set_runner_specific_vars() -%}
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
{%- endmacro %}
on:
push:
branches:
- !{{ branches }}
{%- if branches == "nightly" %}
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]+
{%- endif %}
{%- for label in ciflow_config.labels | sort %}
{%- if loop.first and branches != "nightly" %}
tags:
{%- endif %}
- '!{{ label }}/*'
{%- endfor %}
workflow_dispatch:
env:
BUILD_ENVIRONMENT: !{{ build_environment }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
PYTORCH_ROOT: /pytorch
DOWNLOADS_DIR: c:\temp\downloads
DEPENDENCIES_DIR: c:\temp\dependencies
ENABLE_APL: 1
ENABLE_OPENBLAS: 0
MSVC_VERSION : 14.42
AWS_DEFAULT_REGION: us-east-1
jobs:
get-label-type:
if: github.repository_owner == 'pytorch'
name: get-label-type
uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
with:
triggering_actor: ${{ github.triggering_actor }}
issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
{%- for config in build_configs %}
!{{ config["build_name"] }}-build:
if: ${{ github.repository_owner == 'pytorch' }}
needs: get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: !{{ common.timeout_minutes }}
!{{ upload.binary_env(config, True) }}
{%- if config.pytorch_extra_install_requirements is defined and config.pytorch_extra_install_requirements|d('')|length > 0 %}
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: !{{ config.pytorch_extra_install_requirements }}
{%- endif %}
steps:
!{{ set_runner_specific_vars() }}
- name: Bootstrap folders
shell: cmd
run: |
mkdir "%NIGHTLIES_PYTORCH_ROOT%"
mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Bootstrap Build Tools
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
- name: Remove Pytorch folder
shell: cmd
run: |
rmdir /s /q "pytorch"
- name: Git checkout PyTorch - recursive
uses: actions/checkout@v4
with:
path: "pytorch"
submodules: recursive
- name: Bootstrap Python
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
- name: Bootstrap APL
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
- name: Bootstrap Rust
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- name: Bootstrap sccache
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
- name: Bootstrap Libuv
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
- name: Populate binary env
shell: bash
run: |
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Build PyTorch binary
shell: bash
run: |
"pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
- uses: !{{ common.upload_artifact_action }}
if: always()
with:
name: !{{ config["build_name"] }}
retention-days: 14
if-no-files-found: error
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
!{{ config["build_name"] }}-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
- !{{ config["build_name"] }}-build
- get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: !{{ common.timeout_minutes }}
!{{ upload.binary_env(config, True) }}
steps:
!{{ set_runner_specific_vars() }}
- uses: !{{ common.download_artifact_action }}
name: Download Build Artifacts
with:
name: !{{ config["build_name"] }}
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
- name: Remove Pytorch folder
shell: cmd
run: |
rmdir /s /q "pytorch"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
submodules: recursive
- name: Bootstrap APL
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
- name: Bootstrap Python
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
- name: Bootstrap Build Tools
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
- name: Bootstrap Rust
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- name: Populate binary env
shell: bash
run: |
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Test PyTorch binary
shell: bash
run: |
"pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
{%- if branches == "nightly" %}
!{{ upload.upload_binaries(config, True) }}
{%- endif %}
{%- endfor %}

View File

@ -49,15 +49,6 @@ env:
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: !{{ os }}
{%- if os == "windows-arm64" %}
PYTORCH_ROOT: /pytorch
DOWNLOADS_DIR: c:\temp\downloads
DEPENDENCIES_DIR: c:\temp\dependencies
ENABLE_APL: 1
ENABLE_OPENBLAS: 0
MSVC_VERSION : 14.42
{%- endif %}
!{{ common.concurrency(build_environment) }}
jobs:
@ -75,79 +66,20 @@ jobs:
!{{ config["build_name"] }}-build:
if: ${{ github.repository_owner == 'pytorch' }}
needs: get-label-type
{%- if os == "windows-arm64" %}
runs-on: "windows-11-arm64"
{%- else %}
{%- if branches == "nightly" %}
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
{%- else %}
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
{%- endif %}
{%- endif %}
timeout-minutes: !{{ common.timeout_minutes_windows_binary }}
!{{ upload.binary_env(config, True) }}
{%- if config.pytorch_extra_install_requirements is defined and config.pytorch_extra_install_requirements|d('')|length > 0 %}
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: !{{ config.pytorch_extra_install_requirements }}
{%- endif %}
steps:
{%- if os == "windows-arm64" %}
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
- name: Bootstrap folders
shell: cmd
run: |
mkdir "%NIGHTLIES_PYTORCH_ROOT%"
mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Bootstrap Build Tools
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
- name: Remove Pytorch folder
shell: cmd
run: |
rmdir /s /q "pytorch"
- name: Git checkout PyTorch - recursive
uses: actions/checkout@v4
with:
path: "pytorch"
submodules: recursive
- name: Bootstrap Python
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
- name: Bootstrap APL
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
- name: Bootstrap Rust
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- name: Bootstrap sccache
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
- name: Bootstrap Libuv
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
{%- else %}
!{{ set_runner_specific_vars() }}
!{{ common.setup_ec2_windows() }}
!{{ set_runner_specific_vars() }}
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
{%- endif %}
- name: Populate binary env
shell: bash
run: |
@ -163,17 +95,12 @@ jobs:
retention-days: 14
if-no-files-found: error
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
{%- if os != "windows-arm64" %}
!{{ common.wait_and_kill_ssh_windows('pytorch') }}
{% endif %}
!{{ config["build_name"] }}-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
- !{{ config["build_name"] }}-build
- get-label-type
{%- if os == "windows-arm64" %}
runs-on: "windows-11-arm64"
{%- else %}
{%- if config["gpu_arch_type"] == "cuda" %}
{%- if branches == "nightly" %}
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
@ -186,61 +113,18 @@ jobs:
{%- else %}
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
{%- endif %}
{%- endif %}
{%- endif %}
timeout-minutes: !{{ common.timeout_minutes_windows_binary }}
!{{ upload.binary_env(config, True) }}
steps:
{%- if os == "windows-arm64" %}
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Populate binary env
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
- name: Remove Pytorch folder
shell: cmd
run: |
rmdir /s /q "pytorch"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
submodules: recursive
- name: Bootstrap APL
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
- name: Bootstrap Python
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
- name: Bootstrap Build Tools
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
- name: Bootstrap Rust
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
{%- else %}
!{{ common.setup_ec2_windows() }}
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
!{{ set_runner_specific_vars() }}
{%- endif %}
- uses: !{{ common.download_artifact_action }}
name: Download Build Artifacts
with:
name: !{{ config["build_name"] }}
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
- name: Populate binary env
shell: bash
run: |
@ -249,10 +133,8 @@ jobs:
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
{%- if os != "windows-arm64" %}
!{{ common.wait_and_kill_ssh_windows('pytorch') }}
{%- endif %}
{%- if branches == "nightly" %}
!{{ upload.upload_binaries(config, True) }}
{%- endif %}
{%- endfor %}
{%- endfor %}

View File

@ -33,10 +33,6 @@ on:
default: "linux.large"
description: Runner type
permissions:
id-token: write
contents: read
env:
GIT_DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
@ -84,13 +80,6 @@ jobs:
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only
role-session-name: gha-bazel-build
aws-region: us-east-1
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
@ -213,13 +202,6 @@ jobs:
uses: ./.github/actions/chown-workspace
if: always()
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_pytorch_artifacts
role-session-name: gha-bazel-build-upload-artifacts
aws-region: us-east-1
- name: Upload test artifacts
uses: ./.github/actions/upload-test-artifacts
if: always() && steps.test.conclusion && steps.test.conclusion != 'skipped'

View File

@ -23,7 +23,7 @@ on:
description: Hardware to run this "build" job on, linux.12xlarge or linux.arm64.2xlarge.
timeout-minutes:
required: false
default: 240
default: 210
type: number
description: timeout for the job
use_split_build:

View File

@ -38,11 +38,6 @@ on:
required: false
type: boolean
default: true
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
jobs:
test:
@ -171,7 +166,6 @@ jobs:
JOB_ID: ${{ steps.get-job-id.outputs.job-id }}
JOB_NAME: ${{ steps.get-job-id.outputs.job-name }}
REENABLED_ISSUES: ${{ steps.keep-going.outputs.reenabled-issues }}
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
run: |
# shellcheck disable=SC1090
set -ex

View File

@ -47,10 +47,6 @@ on:
type: boolean
default: true
permissions:
id-token: write
contents: read
env:
GIT_DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}

View File

@ -11,14 +11,14 @@ on:
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
paths:
- .ci/docker/**
- '.ci/docker/almalinux/*'
- '.ci/docker/common/*'
- .github/workflows/build-almalinux-images.yml
- .github/actions/binary-docker-build/**
pull_request:
paths:
- .ci/docker/**
- '.ci/docker/almalinux/*'
- '.ci/docker/common/*'
- .github/workflows/build-almalinux-images.yml
- .github/actions/binary-docker-build/**
env:
DOCKER_REGISTRY: "docker.io"
@ -37,12 +37,37 @@ jobs:
strategy:
matrix:
cuda_version: ["11.8", "12.4", "12.6", "cpu"]
env:
CUDA_VERSION: ${{ matrix.cuda_version }}
steps:
- name: Build docker image
uses: pytorch/pytorch/.github/actions/binary-docker-build@main
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
docker-image-name: almalinux-builder
custom-tag-prefix: ${{ matrix.cuda_version != 'cpu' && 'cuda' || '' }}${{matrix.cuda_version}}
docker-build-dir: almalinux
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: almalinux-builder${{ matrix.cuda_version == 'cpu' && '-' || '-cuda' }}${{matrix.cuda_version}}
docker-build-dir: .ci/docker/almalinux
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/almalinux/build.sh almalinux-builder${{ matrix.cuda_version == 'cpu' && ':' || ':cuda' }}${{matrix.cuda_version}}

View File

@ -10,14 +10,14 @@ on:
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
paths:
- .ci/docker/**
- '.ci/docker/libtorch/*'
- '.ci/docker/common/*'
- .github/workflows/build-libtorch-images.yml
- .github/actions/binary-docker-build/**
pull_request:
paths:
- .ci/docker/**
- '.ci/docker/libtorch/*'
- '.ci/docker/common/*'
- .github/workflows/build-libtorch-images.yml
- .github/actions/binary-docker-build/**
env:
DOCKER_REGISTRY: "docker.io"
@ -39,29 +39,123 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
build:
build-docker-cuda:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: ${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral
name: libtorch-cxx11-builder:${{ matrix.tag }}
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
strategy:
fail-fast: false
matrix:
include: [
{ tag: "cuda12.8" },
{ tag: "cuda12.6" },
{ tag: "cuda12.4" },
{ tag: "cuda11.8" },
{ tag: "rocm6.3" },
{ tag: "rocm6.4" },
{ tag: "cpu" },
]
cuda_version: ["12.8", "12.6", "12.4", "11.8"]
env:
GPU_ARCH_TYPE: cuda
GPU_ARCH_VERSION: ${{ matrix.cuda_version }}
steps:
- name: Build docker image
uses: pytorch/pytorch/.github/actions/binary-docker-build@main
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
docker-image-name: libtorch-cxx11-builder
custom-tag-prefix: ${{ matrix.tag }}
docker-build-dir: libtorch
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: libtorch-cxx11-builder-cuda${{matrix.cuda_version}}
docker-build-dir: .ci/docker/libtorch
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/libtorch/build.sh libtorch-cxx11-builder:cuda${{matrix.cuda_version}}
build-docker-rocm:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
strategy:
matrix:
rocm_version: ["6.2.4", "6.3"]
env:
GPU_ARCH_TYPE: rocm
GPU_ARCH_VERSION: ${{ matrix.rocm_version }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: libtorch-cxx11-builder-rocm${{matrix.rocm_version}}
docker-build-dir: .ci/docker/libtorch
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/libtorch/build.sh libtorch-cxx11-builder:rocm${{matrix.rocm_version}}
build-docker-cpu:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: libtorch-cxx11-builder-cpu
docker-build-dir: .ci/docker/libtorch
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/libtorch/build.sh libtorch-cxx11-builder:cpu

View File

@ -34,7 +34,7 @@ jobs:
id-token: write
strategy:
matrix:
rocm_version: ["64", "63"]
rocm_version: ["63", "624"]
steps:
- name: Checkout PyTorch
uses: actions/checkout@v4

View File

@ -22,7 +22,7 @@ jobs:
runs-on: windows-2019
strategy:
matrix:
cuda_version: ["128", "126", "118"]
cuda_version: ["128", "126", "124", "118"]
config: ["Release", "Debug"]
env:
CUDA_VERSION: ${{ matrix.cuda_version }}

View File

@ -11,11 +11,15 @@ on:
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
paths:
- .ci/docker/**
- '.ci/docker/manywheel/*'
- '.ci/docker/manywheel/build_scripts/*'
- '.ci/docker/common/*'
- .github/workflows/build-manywheel-images-s390x.yml
pull_request:
paths:
- .ci/docker/**
- '.ci/docker/manywheel/*'
- '.ci/docker/manywheel/build_scripts/*'
- '.ci/docker/common/*'
- .github/workflows/build-manywheel-images-s390x.yml
@ -33,45 +37,26 @@ jobs:
if: github.repository_owner == 'pytorch'
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
runs-on: linux.s390x
env:
GPU_ARCH_TYPE: cpu-s390x
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
no-sudo: true
- name: Build Docker Image
run: |
.ci/docker/manywheel/build.sh manylinuxs390x-builder:cpu-s390x -t manylinuxs390x-builder:cpu-s390x
- name: Tag and (if WITH_PUSH) push docker image to docker.io
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
CREATED_FULL_DOCKER_IMAGE_NAME: manylinuxs390x-builder:cpu-s390x
shell: bash
run: |
set -euox pipefail
GITHUB_REF="${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}"
GIT_BRANCH_NAME="${GITHUB_REF##*/}"
GIT_COMMIT_SHA="${GITHUB_SHA:-$(git rev-parse HEAD)}"
CI_FOLDER_SHA="$(git rev-parse HEAD:.ci/docker)"
DOCKER_IMAGE_NAME_PREFIX="docker.io/pytorch/${CREATED_FULL_DOCKER_IMAGE_NAME}"
docker tag "${CREATED_FULL_DOCKER_IMAGE_NAME}" "${DOCKER_IMAGE_NAME_PREFIX}-${GIT_BRANCH_NAME}"
docker tag "${CREATED_FULL_DOCKER_IMAGE_NAME}" "${DOCKER_IMAGE_NAME_PREFIX}-${GIT_COMMIT_SHA}"
docker tag "${CREATED_FULL_DOCKER_IMAGE_NAME}" "${DOCKER_IMAGE_NAME_PREFIX}-${CI_FOLDER_SHA}"
# Prety sure Github will mask tokens and I'm not sure if it will even be
# printed due to pipe, but just in case
set +x
if [[ "${WITH_PUSH:-false}" == "true" ]]; then
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
docker push "${DOCKER_IMAGE_NAME_PREFIX}-${GIT_BRANCH_NAME}"
docker push "${DOCKER_IMAGE_NAME_PREFIX}-${GIT_COMMIT_SHA}"
docker push "${DOCKER_IMAGE_NAME_PREFIX}-${CI_FOLDER_SHA}"
fi
- name: Build Docker Image
run: |
.ci/docker/manywheel/build.sh manylinuxs390x-builder:cpu-s390x
- name: Cleanup docker
if: cancelled()

View File

@ -11,14 +11,17 @@ on:
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
paths:
- .ci/docker/**
- '.ci/docker/common/*'
- '.ci/docker/manywheel/*'
- '.ci/docker/manywheel/build_scripts/*'
- .github/workflows/build-manywheel-images.yml
- .github/actions/binary-docker-build/**
pull_request:
paths:
- .ci/docker/**
- '.ci/docker/common/*'
- '.ci/docker/manywheel/*'
- '.ci/docker/manywheel/build_scripts/*'
- .github/workflows/build-manywheel-images.yml
- .github/actions/binary-docker-build/**
env:
DOCKER_REGISTRY: "docker.io"
@ -40,34 +43,322 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
build:
build-docker-cuda-manylinux_2_28:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
strategy:
fail-fast: false
matrix:
include: [
{ name: "manylinux2_28-builder", tag: "cuda12.8", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "cuda12.6", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "cuda12.4", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "cuda11.8", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinuxaarch64-builder", tag: "cuda12.8", runner: "linux.arm64.2xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "rocm6.3", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "rocm6.4", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "cpu", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinuxaarch64-builder", tag: "cpu-aarch64", runner: "linux.arm64.2xlarge.ephemeral" },
{ name: "manylinux2_28_aarch64-builder", tag: "cpu-aarch64", runner: "linux.arm64.2xlarge.ephemeral" },
{ name: "manylinuxcxx11-abi-builder", tag: "cpu-cxx11-abi", runner: "linux.9xlarge.ephemeral" },
{ name: "manylinux2_28-builder", tag: "xpu", runner: "linux.9xlarge.ephemeral" },
]
runs-on: ${{ needs.get-label-type.outputs.label-type }}${{ matrix.runner }}
name: ${{ matrix.name }}:${{ matrix.tag }}
cuda_version: ["12.8", "12.6", "12.4", "11.8"]
env:
GPU_ARCH_TYPE: cuda-manylinux_2_28
GPU_ARCH_VERSION: ${{ matrix.cuda_version }}
steps:
- name: Build docker image
uses: pytorch/pytorch/.github/actions/binary-docker-build@main
- name: Purge tools folder (free space for build)
run: rm -rf /opt/hostedtoolcache
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
docker-image-name: ${{ matrix.name }}
custom-tag-prefix: ${{ matrix.tag }}
docker-build-dir: manywheel
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinux2_28-builder-cuda${{matrix.cuda_version}}
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinux2_28-builder:cuda${{matrix.cuda_version}}
build-docker-cuda-aarch64:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge.ephemeral"
strategy:
matrix:
cuda_version: ["12.8"]
env:
GPU_ARCH_TYPE: cuda-aarch64
GPU_ARCH_VERSION: ${{ matrix.cuda_version }}
steps:
- name: Checkout PyTorch
uses: actions/checkout@v4
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinuxaarch64-builder-cuda${{matrix.cuda_version}}
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinuxaarch64-builder:cuda${{matrix.cuda_version}}
build-docker-rocm-manylinux_2_28:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
strategy:
matrix:
rocm_version: ["6.2.4", "6.3"]
env:
GPU_ARCH_TYPE: rocm-manylinux_2_28
GPU_ARCH_VERSION: ${{ matrix.rocm_version }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinux2_28-builder-rocm${{matrix.rocm_version}}
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinux2_28-builder:rocm${{matrix.rocm_version}}
build-docker-cpu-manylinux_2_28:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
env:
GPU_ARCH_TYPE: cpu-manylinux_2_28
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinux2_28-builder-cpu
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinux2_28-builder:cpu
build-docker-cpu-aarch64:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge.ephemeral"
env:
GPU_ARCH_TYPE: cpu-aarch64
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinuxaarch64-builder-cpu-aarch64
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinuxaarch64-builder:cpu-aarch64
build-docker-cpu-aarch64-2_28:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge.ephemeral"
env:
GPU_ARCH_TYPE: cpu-aarch64-2_28
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinux2_28_aarch64-builder-cpu-aarch64
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinux2_28_aarch64-builder:cpu-aarch64
build-docker-cpu-cxx11-abi:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
env:
GPU_ARCH_TYPE: cpu-cxx11-abi
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinuxcxx11-abi-builder-cpu-cxx11-abi
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinuxcxx11-abi-builder:cpu-cxx11-abi
build-docker-xpu:
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
needs: get-label-type
runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
env:
GPU_ARCH_TYPE: xpu
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
submodules: false
- name: Calculate docker image
if: env.WITH_PUSH == 'false'
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-image-name: manylinux2_28-builder-xpu
docker-build-dir: .ci/docker/manywheel
always-rebuild: true
push: true
- name: Authenticate if WITH_PUSH
if: env.WITH_PUSH == 'true'
env:
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
DOCKER_ID: ${{ secrets.DOCKER_ID }}
run: |
if [[ "${WITH_PUSH}" == true ]]; then
echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
fi
- name: Build Docker Image
if: env.WITH_PUSH == 'true'
uses: nick-fields/retry@v3.0.0
with:
shell: bash
timeout_minutes: 90
max_attempts: 3
retry_wait_seconds: 90
command: |
.ci/docker/manywheel/build.sh manylinux2_28-builder:xpu

View File

@ -12,8 +12,6 @@ on:
- .github/workflows/build-triton-wheel.yml
- .github/scripts/build_triton_wheel.py
- .github/ci_commit_pins/triton.txt
- .github/scripts/windows/install_vs2022.ps1
- .github/scripts/windows/build_triton.bat
- .ci/docker/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton-xpu.txt
workflow_dispatch:
@ -22,8 +20,6 @@ on:
- .github/workflows/build-triton-wheel.yml
- .github/scripts/build_triton_wheel.py
- .github/ci_commit_pins/triton.txt
- .github/scripts/windows/install_vs2022.ps1
- .github/scripts/windows/build_triton.bat
- .ci/docker/ci_commit_pins/triton.txt
- .ci/docker/ci_commit_pins/triton-xpu.txt
@ -54,7 +50,7 @@ jobs:
docker-image: ["pytorch/manylinux2_28-builder:cpu"]
include:
- device: "rocm"
rocm_version: "6.4"
rocm_version: "6.3"
runs_on: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge"
- device: "cuda"
rocm_version: ""
@ -138,7 +134,7 @@ jobs:
fi
docker exec -t "${container_name}" yum install -y zlib-devel zip
docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}" -m pip install -U setuptools==78.1.0 pybind11==2.13.1 auditwheel wheel
docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}" -m pip install -U setuptools==67.4.0 pybind11==2.13.1 auditwheel wheel
if [[ ("${{ matrix.device }}" == "cuda" || "${{ matrix.device }}" == "rocm" || "${{ matrix.device }}" == "aarch64" ) ]]; then
# With this install, it gets clang 16.0.6.
@ -248,6 +244,7 @@ jobs:
.github/scripts/windows/build_triton.bat
mkdir -p "${RUNNER_TEMP}/artifacts/"
mv ./*.whl "${RUNNER_TEMP}/artifacts/"
- uses: actions/upload-artifact@v4.4.0
with:
name: pytorch-triton-wheel-${{ matrix.py_vers }}-${{ matrix.device }}

View File

@ -79,7 +79,7 @@ jobs:
]
include:
- docker-image-name: pytorch-linux-jammy-aarch64-py3.10-gcc11
runner: linux.arm64.m7g.4xlarge
runner: linux.arm64.2xlarge
- docker-image-name: pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks
runner: linux.arm64.m7g.4xlarge
timeout-minutes: 600

View File

@ -301,6 +301,98 @@ jobs:
github-token: ${{ secrets.GITHUB_TOKEN }}
uses: ./.github/workflows/_binary-upload.yml
libtorch-rocm6_2_4-shared-with-deps-release-build:
if: ${{ github.repository_owner == 'pytorch' }}
uses: ./.github/workflows/_binary-build-linux.yml
needs: get-label-type
with:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.2.4
GPU_ARCH_VERSION: 6.2.4
GPU_ARCH_TYPE: rocm
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build_name: libtorch-rocm6_2_4-shared-with-deps-release
build_environment: linux-binary-libtorch
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
libtorch-rocm6_2_4-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
- libtorch-rocm6_2_4-shared-with-deps-release-build
- get-label-type
runs-on: linux.rocm.gpu
timeout-minutes: 240
env:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.2.4
GPU_ARCH_VERSION: 6.2.4
GPU_ARCH_TYPE: rocm
SKIP_ALL_TESTS: 1
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
steps:
- name: Setup ROCm
uses: ./.github/actions/setup-rocm
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-rocm6_2_4-shared-with-deps-release
path: "${{ runner.temp }}/artifacts/"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: ROCm set GPU_FLAG
run: |
echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"
- name: Pull Docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
- name: Test Pytorch binary
uses: ./pytorch/.github/actions/test-pytorch-binary
- name: Teardown ROCm
uses: ./.github/actions/teardown-rocm
libtorch-rocm6_2_4-shared-with-deps-release-upload: # Uploading
if: ${{ github.repository_owner == 'pytorch' }}
permissions:
id-token: write
contents: read
needs: libtorch-rocm6_2_4-shared-with-deps-release-test
with:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.2.4
GPU_ARCH_VERSION: 6.2.4
GPU_ARCH_TYPE: rocm
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
build_name: libtorch-rocm6_2_4-shared-with-deps-release
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
uses: ./.github/workflows/_binary-upload.yml
libtorch-rocm6_3-shared-with-deps-release-build:
if: ${{ github.repository_owner == 'pytorch' }}
uses: ./.github/workflows/_binary-build-linux.yml
@ -392,95 +484,3 @@ jobs:
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
uses: ./.github/workflows/_binary-upload.yml
libtorch-rocm6_4-shared-with-deps-release-build:
if: ${{ github.repository_owner == 'pytorch' }}
uses: ./.github/workflows/_binary-build-linux.yml
needs: get-label-type
with:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.4
GPU_ARCH_VERSION: 6.4
GPU_ARCH_TYPE: rocm
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build_name: libtorch-rocm6_4-shared-with-deps-release
build_environment: linux-binary-libtorch
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
libtorch-rocm6_4-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
- libtorch-rocm6_4-shared-with-deps-release-build
- get-label-type
runs-on: linux.rocm.gpu
timeout-minutes: 240
env:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.4
GPU_ARCH_VERSION: 6.4
GPU_ARCH_TYPE: rocm
SKIP_ALL_TESTS: 1
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
steps:
- name: Setup ROCm
uses: ./.github/actions/setup-rocm
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-rocm6_4-shared-with-deps-release
path: "${{ runner.temp }}/artifacts/"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: ROCm set GPU_FLAG
run: |
echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"
- name: Pull Docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: pytorch/libtorch-cxx11-builder:rocm6.4-main
- name: Test Pytorch binary
uses: ./pytorch/.github/actions/test-pytorch-binary
- name: Teardown ROCm
uses: ./.github/actions/teardown-rocm
libtorch-rocm6_4-shared-with-deps-release-upload: # Uploading
if: ${{ github.repository_owner == 'pytorch' }}
permissions:
id-token: write
contents: read
needs: libtorch-rocm6_4-shared-with-deps-release-test
with:
PYTORCH_ROOT: /pytorch
PACKAGE_TYPE: libtorch
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: rocm6.4
GPU_ARCH_VERSION: 6.4
GPU_ARCH_TYPE: rocm
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.4-main
LIBTORCH_CONFIG: release
LIBTORCH_VARIANT: shared-with-deps
build_name: libtorch-rocm6_4-shared-with-deps-release
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
uses: ./.github/workflows/_binary-upload.yml

File diff suppressed because it is too large Load Diff

View File

@ -55,7 +55,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.9"
runs_on: linux.s390x
@ -79,7 +79,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.9"
build_name: manywheel-py3_9-cpu-s390x
@ -101,7 +101,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.9"
build_name: manywheel-py3_9-cpu-s390x
@ -120,7 +120,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.10"
runs_on: linux.s390x
@ -144,7 +144,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.10"
build_name: manywheel-py3_10-cpu-s390x
@ -166,7 +166,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.10"
build_name: manywheel-py3_10-cpu-s390x
@ -185,7 +185,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.11"
runs_on: linux.s390x
@ -209,7 +209,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.11"
build_name: manywheel-py3_11-cpu-s390x
@ -231,7 +231,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.11"
build_name: manywheel-py3_11-cpu-s390x
@ -250,7 +250,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.12"
runs_on: linux.s390x
@ -274,7 +274,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.12"
build_name: manywheel-py3_12-cpu-s390x
@ -296,7 +296,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.12"
build_name: manywheel-py3_12-cpu-s390x
@ -315,7 +315,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.13"
runs_on: linux.s390x
@ -339,7 +339,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.13"
build_name: manywheel-py3_13-cpu-s390x
@ -361,7 +361,7 @@ jobs:
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: cpu
GPU_ARCH_TYPE: cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x
DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
use_split_build: False
DESIRED_PYTHON: "3.13"
build_name: manywheel-py3_13-cpu-s390x

View File

@ -1,12 +1,11 @@
# @generated DO NOT EDIT MANUALLY
# Template is at: .github/templates/windows_binary_build_workflow.yml.j2
# Template is at: .github/templates/windows_arm64_binary_build_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
name: windows-arm64-binary-libtorch-debug
name: windows-arm64-binary-libtorch
on:
push:
# NOTE: Meta Employees can trigger new nightlies using: https://fburl.com/trigger_pytorch_nightly_build
branches:
- nightly
tags:
@ -18,24 +17,18 @@ on:
workflow_dispatch:
env:
# Needed for conda builds
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
AWS_DEFAULT_REGION: us-east-1
BUILD_ENVIRONMENT: windows-arm64-binary-libtorch-debug
BUILD_ENVIRONMENT: windows-arm64-binary-libtorch
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows-arm64
PYTORCH_ROOT: /pytorch
DOWNLOADS_DIR: c:\temp\downloads
DEPENDENCIES_DIR: c:\temp\dependencies
ENABLE_APL: 1
ENABLE_OPENBLAS: 0
MSVC_VERSION : 14.42
concurrency:
group: windows-arm64-binary-libtorch-debug-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
AWS_DEFAULT_REGION: us-east-1
jobs:
get-label-type:
@ -51,7 +44,7 @@ jobs:
if: ${{ github.repository_owner == 'pytorch' }}
needs: get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: libtorch
@ -66,6 +59,9 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
@ -121,11 +117,11 @@ jobs:
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Build PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
- uses: actions/upload-artifact@v4.4.0
if: always()
with:
@ -139,7 +135,7 @@ jobs:
- libtorch-cpu-shared-with-deps-debug-build
- get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: libtorch
@ -154,17 +150,25 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-cpu-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Populate binary env
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
@ -193,19 +197,14 @@ jobs:
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-cpu-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Test PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
libtorch-cpu-shared-with-deps-debug-upload: # Uploading
if: ${{ github.repository_owner == 'pytorch' }}
permissions:

View File

@ -1,12 +1,11 @@
# @generated DO NOT EDIT MANUALLY
# Template is at: .github/templates/windows_binary_build_workflow.yml.j2
# Template is at: .github/templates/windows_arm64_binary_build_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
name: windows-arm64-binary-libtorch-release
on:
push:
# NOTE: Meta Employees can trigger new nightlies using: https://fburl.com/trigger_pytorch_nightly_build
branches:
- nightly
tags:
@ -18,24 +17,18 @@ on:
workflow_dispatch:
env:
# Needed for conda builds
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
AWS_DEFAULT_REGION: us-east-1
BUILD_ENVIRONMENT: windows-arm64-binary-libtorch-release
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows-arm64
PYTORCH_ROOT: /pytorch
DOWNLOADS_DIR: c:\temp\downloads
DEPENDENCIES_DIR: c:\temp\dependencies
ENABLE_APL: 1
ENABLE_OPENBLAS: 0
MSVC_VERSION : 14.42
concurrency:
group: windows-arm64-binary-libtorch-release-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
AWS_DEFAULT_REGION: us-east-1
jobs:
get-label-type:
@ -51,7 +44,7 @@ jobs:
if: ${{ github.repository_owner == 'pytorch' }}
needs: get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: libtorch
@ -66,6 +59,9 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
@ -121,11 +117,11 @@ jobs:
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Build PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
- uses: actions/upload-artifact@v4.4.0
if: always()
with:
@ -139,7 +135,7 @@ jobs:
- libtorch-cpu-shared-with-deps-release-build
- get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: libtorch
@ -154,17 +150,25 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-cpu-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Populate binary env
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
@ -193,19 +197,14 @@ jobs:
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: libtorch-cpu-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Test PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
libtorch-cpu-shared-with-deps-release-upload: # Uploading
if: ${{ github.repository_owner == 'pytorch' }}
permissions:

View File

@ -1,12 +1,11 @@
# @generated DO NOT EDIT MANUALLY
# Template is at: .github/templates/windows_binary_build_workflow.yml.j2
# Template is at: .github/templates/windows_arm64_binary_build_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
name: windows-arm64-binary-wheel
on:
push:
# NOTE: Meta Employees can trigger new nightlies using: https://fburl.com/trigger_pytorch_nightly_build
branches:
- nightly
tags:
@ -18,24 +17,18 @@ on:
workflow_dispatch:
env:
# Needed for conda builds
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
AWS_DEFAULT_REGION: us-east-1
BUILD_ENVIRONMENT: windows-arm64-binary-wheel
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows-arm64
PYTORCH_ROOT: /pytorch
DOWNLOADS_DIR: c:\temp\downloads
DEPENDENCIES_DIR: c:\temp\dependencies
ENABLE_APL: 1
ENABLE_OPENBLAS: 0
MSVC_VERSION : 14.42
concurrency:
group: windows-arm64-binary-wheel-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
AWS_DEFAULT_REGION: us-east-1
jobs:
get-label-type:
@ -51,7 +44,7 @@ jobs:
if: ${{ github.repository_owner == 'pytorch' }}
needs: get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: wheel
@ -63,6 +56,9 @@ jobs:
DESIRED_PYTHON: "3.12"
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.26.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
@ -118,11 +114,11 @@ jobs:
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Build PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
- uses: actions/upload-artifact@v4.4.0
if: always()
with:
@ -136,7 +132,7 @@ jobs:
- wheel-py3_12-cpu-build
- get-label-type
runs-on: "windows-11-arm64"
timeout-minutes: 300
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
PACKAGE_TYPE: wheel
@ -147,17 +143,25 @@ jobs:
SKIP_ALL_TESTS: 1
DESIRED_PYTHON: "3.12"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: cmd
run: |
echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: wheel-py3_12-cpu
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Git checkout PyTorch
uses: actions/checkout@v4
with:
path: "pytorch"
- name: Populate binary env
- name: Bootstrap Git
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
@ -186,19 +190,14 @@ jobs:
shell: cmd
run: |
"pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
- uses: actions/download-artifact@v4.1.7
name: Download Build Artifacts
with:
name: wheel-py3_12-cpu
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Populate binary env
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
"pytorch/.circleci/scripts/binary_populate_env.sh"
- name: Test PyTorch binary
shell: bash
run: |
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
"pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
wheel-py3_12-cpu-upload: # Uploading
if: ${{ github.repository_owner == 'pytorch' }}
permissions:

View File

@ -19,7 +19,6 @@ env:
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows
concurrency:
group: windows-binary-libtorch-debug-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
@ -53,15 +52,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -106,6 +96,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -146,7 +145,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cpu-shared-with-deps-debug-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -212,18 +210,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -238,6 +224,18 @@ jobs:
with:
name: libtorch-cpu-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |

View File

@ -26,7 +26,6 @@ env:
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows
concurrency:
group: windows-binary-libtorch-debug-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
@ -60,15 +59,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -113,6 +103,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -153,7 +152,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cpu-shared-with-deps-debug-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -219,18 +217,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -245,6 +231,18 @@ jobs:
with:
name: libtorch-cpu-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -308,15 +306,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -361,6 +350,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -401,7 +399,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda11_8-shared-with-deps-debug-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -468,18 +465,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -494,6 +479,18 @@ jobs:
with:
name: libtorch-cuda11_8-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -558,15 +555,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -611,6 +599,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -651,7 +648,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda12_6-shared-with-deps-debug-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -718,18 +714,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -744,6 +728,18 @@ jobs:
with:
name: libtorch-cuda12_6-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -808,15 +804,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -861,6 +848,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -901,7 +897,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda12_8-shared-with-deps-debug-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -968,18 +963,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -994,6 +977,18 @@ jobs:
with:
name: libtorch-cuda12_8-shared-with-deps-debug
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |

View File

@ -19,7 +19,6 @@ env:
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows
concurrency:
group: windows-binary-libtorch-release-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
@ -53,15 +52,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -106,6 +96,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -146,7 +145,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cpu-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -212,18 +210,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -238,6 +224,18 @@ jobs:
with:
name: libtorch-cpu-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |

View File

@ -26,7 +26,6 @@ env:
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
OS: windows
concurrency:
group: windows-binary-libtorch-release-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
@ -60,15 +59,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -113,6 +103,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -153,7 +152,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cpu-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -219,18 +217,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -245,6 +231,18 @@ jobs:
with:
name: libtorch-cpu-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -308,15 +306,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -361,6 +350,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -401,7 +399,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda11_8-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -468,18 +465,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -494,6 +479,18 @@ jobs:
with:
name: libtorch-cuda11_8-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -558,15 +555,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -611,6 +599,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -651,7 +648,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda12_6-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -718,18 +714,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -744,6 +728,18 @@ jobs:
with:
name: libtorch-cuda12_6-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |
@ -808,15 +804,6 @@ jobs:
# without this value pip does not get installed for some reason
DESIRED_PYTHON: "3.9"
steps:
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Display EC2 information
shell: bash
run: |
@ -861,6 +848,15 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
- name: Populate binary env
shell: bash
run: |
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
@ -901,7 +897,6 @@ jobs:
if: always()
run: |
.github\scripts\kill_active_ssh_sessions.ps1
libtorch-cuda12_8-shared-with-deps-release-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs:
@ -968,18 +963,6 @@ jobs:
# Let's both exclude the path and disable Windows Defender completely just to be sure
# that it doesn't interfere
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
# NOTE: These environment variables are put here so that they can be applied on every job equally
# They are also here because setting them at a workflow level doesn't give us access to the
# runner.temp variable, which we need.
@ -994,6 +977,18 @@ jobs:
with:
name: libtorch-cuda12_8-shared-with-deps-release
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
- name: Checkout PyTorch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
show-progress: false
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Populate binary env
shell: bash
run: |

File diff suppressed because it is too large Load Diff

View File

@ -4,9 +4,6 @@ on:
pull_request:
paths:
- .github/workflows/inductor-nightly.yml
- benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_huggingface_inference.csv
- benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_timm_inference.csv
- benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_torchbench_inference.csv
workflow_dispatch:
schedule:
# Run every day at 7:00 AM UTC

View File

@ -1,4 +1,5 @@
name: inductor-perf-nightly-macos
name: perf-nightly-macos
# Technically not an inductor test, but uses it as a template for tracking macos performance
on:
schedule:
@ -20,13 +21,9 @@ on:
required: false
type: string
default: torchbench_perf_mps
pull_request:
paths:
- .github/workflows/inductor-perf-test-nightly-macos.yml
- .ci/pytorch/macos-test.sh
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
permissions: read-all
@ -38,14 +35,14 @@ jobs:
uses: ./.github/workflows/_mac-build.yml
with:
sync-tag: macos-perf-py3-arm64-build
build-environment: macos-py3-arm64-distributed
build-environment: macos-py3-arm64
runner-type: macos-m1-stable
build-generates-artifacts: true
# To match the one pre-installed in the m1 runners
python-version: 3.9.12
test-matrix: |
{ include: [
{ config: "perf_smoketest", shard: 1, num_shards: 1, runner: "macos-m2-15" },
{ config: "perf_smoketest", shard: 1, num_shards: 1, runner: "macos-m1-14" },
]}
secrets: inherit
@ -54,7 +51,7 @@ jobs:
uses: ./.github/workflows/_mac-test.yml
needs: macos-perf-py3-arm64-build
with:
build-environment: macos-py3-arm64-distributed
build-environment: macos-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: ${{ needs.macos-perf-py3-arm64-build.outputs.test-matrix }}

View File

@ -78,12 +78,12 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-rocm-py3_10-inductor-benchmark-build:
linux-focal-rocm6_3-py3_10-inductor-benchmark-build:
if: github.repository_owner == 'pytorch'
name: rocm-py3_10-inductor-benchmark-build
name: rocm6_3-py3_10-inductor-benchmark-build
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-focal-rocm-py3_10
build-environment: linux-focal-rocm6_3-py3_10
docker-image-name: pytorch-linux-focal-rocm-n-py3
test-matrix: |
{ include: [
@ -102,18 +102,18 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-inductor-benchmark-test:
linux-focal-rocm6_3-py3_10-inductor-benchmark-test:
permissions:
id-token: write
contents: read
name: rocm-py3_10-inductor-benchmark-test
name: rocm6_3-py3_10-inductor-benchmark-test
uses: ./.github/workflows/_rocm-test.yml
needs: linux-focal-rocm-py3_10-inductor-benchmark-build
needs: linux-focal-rocm6_3-py3_10-inductor-benchmark-build
with:
build-environment: linux-focal-rocm-py3_10
build-environment: linux-focal-rocm6_3-py3_10
dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-cudagraphs_low_precision-true
docker-image: ${{ needs.linux-focal-rocm-py3_10-inductor-benchmark-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-inductor-benchmark-build.outputs.test-matrix }}
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-benchmark-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-benchmark-build.outputs.test-matrix }}
timeout-minutes: 720
# Disable monitor in perf tests for more investigation
disable-monitor: true

View File

@ -67,12 +67,12 @@ jobs:
test-matrix: ${{ needs.linux-focal-cuda12_6-py3_10-gcc9-periodic-dynamo-benchmarks-build.outputs.test-matrix }}
secrets: inherit
linux-focal-rocm-py3_10-periodic-dynamo-benchmarks-build:
linux-focal-rocm6_3-py3_10-periodic-dynamo-benchmarks-build:
if: github.repository_owner == 'pytorch'
name: rocm-py3_10-periodic-dynamo-benchmarks
name: rocm6_3-py3_10-periodic-dynamo-benchmarks
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-focal-rocm-py3_10
build-environment: linux-focal-rocm6_3-py3_10
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
@ -95,17 +95,17 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-periodic-dynamo-benchmarks-test:
linux-focal-rocm6_3-py3_10-periodic-dynamo-benchmarks-test:
permissions:
id-token: write
contents: read
name: rocm-py3_10-periodic-dynamo-benchmarks
name: rocm6_3-py3_10-periodic-dynamo-benchmarks
uses: ./.github/workflows/_rocm-test.yml
needs: linux-focal-rocm-py3_10-periodic-dynamo-benchmarks-build
needs: linux-focal-rocm6_3-py3_10-periodic-dynamo-benchmarks-build
with:
build-environment: linux-focal-rocm-py3_10
docker-image: ${{ needs.linux-focal-rocm-py3_10-periodic-dynamo-benchmarks-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-periodic-dynamo-benchmarks-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6_3-py3_10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-periodic-dynamo-benchmarks-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-periodic-dynamo-benchmarks-build.outputs.test-matrix }}
secrets: inherit
linux-focal-cuda12_6-py3_10-gcc9-inductor-build-gcp:

View File

@ -36,13 +36,13 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-rocm-py3_10-inductor-build:
name: rocm-py3.10-inductor
linux-focal-rocm6_3-py3_10-inductor-build:
name: rocm6.3-py3.10-inductor
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
test-matrix: |
{ include: [
@ -51,15 +51,15 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-inductor-test:
linux-focal-rocm6_3-py3_10-inductor-test:
permissions:
id-token: write
contents: read
name: rocm-py3.10-inductor
name: rocm6.3-py3.10-inductor
uses: ./.github/workflows/_rocm-test.yml
needs: linux-focal-rocm-py3_10-inductor-build
needs: linux-focal-rocm6_3-py3_10-inductor-build
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-inductor-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-inductor-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6.3-py3.10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-build.outputs.test-matrix }}
secrets: inherit

View File

@ -29,13 +29,13 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-rocm-py3_10-inductor-build:
name: rocm-py3.10-inductor
linux-focal-rocm6_3-py3_10-inductor-build:
name: rocm6.3-py3.10-inductor
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
test-matrix: |
{ include: [
@ -44,15 +44,15 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-inductor-test:
linux-focal-rocm6_3-py3_10-inductor-test:
permissions:
id-token: write
contents: read
name: rocm-py3.10-inductor
name: rocm6.3-py3.10-inductor
uses: ./.github/workflows/_rocm-test.yml
needs: linux-focal-rocm-py3_10-inductor-build
needs: linux-focal-rocm6_3-py3_10-inductor-build
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-inductor-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-inductor-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6.3-py3.10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-inductor-build.outputs.test-matrix }}
secrets: inherit

View File

@ -36,11 +36,11 @@ jobs:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
test-matrix: |
{ include: [
{ config: "inductor", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_distributed", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.12xlarge.nvidia.gpu" },
{ config: "inductor_cpp_wrapper", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_cpp_wrapper", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_distributed", shard: 1, num_shards: 1, runner: "linux.g5.12xlarge.nvidia.gpu" },
{ config: "inductor_cpp_wrapper", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_cpp_wrapper", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
]}
secrets: inherit
@ -65,8 +65,8 @@ jobs:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
test-matrix: |
{ include: [
{ config: "inductor", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
]}
secrets: inherit
@ -90,7 +90,7 @@ jobs:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
test-matrix: |
{ include: [
{ config: "inductor-halide", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.12xlarge" },
{ config: "inductor-halide", shard: 1, num_shards: 1, runner: "linux.12xlarge" },
]}
secrets: inherit
@ -114,7 +114,7 @@ jobs:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
test-matrix: |
{ include: [
{ config: "inductor-triton-cpu", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.12xlarge" },
{ config: "inductor-triton-cpu", shard: 1, num_shards: 1, runner: "linux.12xlarge" },
]}
secrets: inherit
@ -138,10 +138,10 @@ jobs:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
test-matrix: |
{ include: [
{ config: "inductor_amx", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "inductor_amx", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "inductor_avx2", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.10xlarge.avx2" },
{ config: "inductor_avx2", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.10xlarge.avx2" },
{ config: "inductor_amx", shard: 1, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "inductor_amx", shard: 2, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "inductor_avx2", shard: 1, num_shards: 2, runner: "linux.10xlarge.avx2" },
{ config: "inductor_avx2", shard: 2, num_shards: 2, runner: "linux.10xlarge.avx2" },
]}
secrets: inherit
@ -165,8 +165,8 @@ jobs:
cuda-arch-list: '8.6'
test-matrix: |
{ include: [
{ config: "inductor", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
]}
secrets: inherit

View File

@ -53,11 +53,11 @@ jobs:
sync-tag: linux-focal-cuda12_6-py3_10-gcc9-inductor-build
test-matrix: |
{ include: [
{ config: "inductor_huggingface", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_timm", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_timm", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_torchbench", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_torchbench", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_huggingface", shard: 1, num_shards: 1, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_timm", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_timm", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_torchbench", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
{ config: "inductor_torchbench", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" },
]}
secrets: inherit
@ -82,14 +82,14 @@ jobs:
sync-tag: linux-jammy-cpu-py3_9-gcc11-inductor-build
test-matrix: |
{ include: [
{ config: "cpu_inductor_torchbench", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "cpu_inductor_torchbench", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_huggingface", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_timm", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_timm", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_torchbench", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_torchbench", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.8xlarge.amx" },
{ config: "inductor_torchbench_cpu_smoketest_perf", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.24xl.spr-metal" },
{ config: "cpu_inductor_torchbench", shard: 1, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "cpu_inductor_torchbench", shard: 2, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_huggingface", shard: 1, num_shards: 1, runner: "linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_timm", shard: 1, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_timm", shard: 2, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_torchbench", shard: 1, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "dynamic_cpu_inductor_torchbench", shard: 2, num_shards: 2, runner: "linux.8xlarge.amx" },
{ config: "inductor_torchbench_cpu_smoketest_perf", shard: 1, num_shards: 1, runner: "linux.24xl.spr-metal" },
]}
secrets: inherit

View File

@ -233,8 +233,10 @@ jobs:
runner: linux.24_04.4x
- test_type: without_torch
runner: linux.24_04.4x
# NOTE: The oldest supported version of python for 24.04 is 3.8
# so this cannot be updated if we want to keep this test at 3.6
- test_type: older_python_version
runner: linux.24_04.4x
runner: linux.20_04.4x
steps:
# [see note: pytorch repo ref]
# deep clone (fetch-depth 0) required, to allow us to use git log
@ -254,7 +256,7 @@ jobs:
if: matrix.test_type == 'older_python_version'
uses: actions/setup-python@v5
with:
python-version: 3.8
python-version: 3.6
architecture: x64
check-latest: false
cache: pip

View File

@ -37,13 +37,13 @@ jobs:
runner: linux.arm64.2xlarge
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 4, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge" },
{ config: "default", shard: 2, num_shards: 4, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge" },
{ config: "default", shard: 3, num_shards: 4, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge" },
{ config: "default", shard: 4, num_shards: 4, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge" },
{ config: "default", shard: 1, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.m7g.4xlarge" },
{ config: "default", shard: 2, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.m7g.4xlarge" },
{ config: "default", shard: 3, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.m7g.4xlarge" },
{ config: "default", shard: 1, num_shards: 4, runner: "linux.arm64.2xlarge" },
{ config: "default", shard: 2, num_shards: 4, runner: "linux.arm64.2xlarge" },
{ config: "default", shard: 3, num_shards: 4, runner: "linux.arm64.2xlarge" },
{ config: "default", shard: 4, num_shards: 4, runner: "linux.arm64.2xlarge" },
{ config: "default", shard: 1, num_shards: 3, runner: "linux.arm64.m7g.4xlarge" },
{ config: "default", shard: 2, num_shards: 3, runner: "linux.arm64.m7g.4xlarge" },
{ config: "default", shard: 3, num_shards: 3, runner: "linux.arm64.m7g.4xlarge" },
]}
secrets: inherit

View File

@ -11,9 +11,6 @@ on:
type: string
default: 'short'
description: tag filter for operator benchmarks, options from long, short, all
schedule:
# Run at 07:00 UTC every Sunday
- cron: 0 7 * * 0
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}

View File

@ -1,81 +0,0 @@
name: periodic-rocm-mi300
on:
schedule:
# We have several schedules so jobs can check github.event.schedule to activate only for a fraction of the runs.
# Also run less frequently on weekends.
- cron: 45 0,8,16 * * 1-5
- cron: 45 4 * * 0,6
- cron: 45 4,12,20 * * 1-5
- cron: 45 12 * * 0,6
- cron: 29 8 * * * # about 1:29am PDT, for mem leak check and rerun disabled tests
push:
tags:
- ciflow/periodic-rocm-mi300/*
branches:
- release/*
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}-${{ github.event.schedule }}
cancel-in-progress: true
permissions: read-all
jobs:
llm-td:
if: github.repository_owner == 'pytorch'
name: before-test
uses: ./.github/workflows/llm_td_retrieval.yml
permissions:
id-token: write
contents: read
target-determination:
name: before-test
uses: ./.github/workflows/target_determination.yml
needs: llm-td
permissions:
id-token: write
contents: read
get-label-type:
name: get-label-type
uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
if: (github.event_name != 'schedule' || github.repository == 'pytorch/pytorch') && github.repository_owner == 'pytorch'
with:
triggering_actor: ${{ github.triggering_actor }}
issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-rocm-py3_10-build:
name: linux-focal-rocm-py3.10
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
test-matrix: |
{ include: [
{ config: "distributed", shard: 1, num_shards: 3, runner: "linux.rocm.gpu.mi300.4", owners: ["module:rocm", "oncall:distributed"] },
{ config: "distributed", shard: 2, num_shards: 3, runner: "linux.rocm.gpu.mi300.4", owners: ["module:rocm", "oncall:distributed"] },
{ config: "distributed", shard: 3, num_shards: 3, runner: "linux.rocm.gpu.mi300.4", owners: ["module:rocm", "oncall:distributed"] },
]}
secrets: inherit
linux-focal-rocm-py3_10-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm-py3.10
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm-py3_10-build
- target-determination
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-build.outputs.test-matrix }}
secrets: inherit

View File

@ -59,9 +59,8 @@ jobs:
docker-image-name: pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11
test-matrix: |
{ include: [
{ config: "nogpu_AVX512", shard: 1, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_AVX512", shard: 2, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_AVX512", shard: 3, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_AVX512", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_AVX512", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_NO_AVX2", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_NO_AVX2", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "jit_legacy", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
@ -140,13 +139,13 @@ jobs:
test-matrix: ${{ needs.linux-focal-cuda11_8-py3_10-gcc9-debug-build.outputs.test-matrix }}
secrets: inherit
linux-focal-rocm-py3_10-build:
name: linux-focal-rocm-py3.10
linux-focal-rocm6_3-py3_10-build:
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
test-matrix: |
{ include: [
@ -156,19 +155,19 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-test:
linux-focal-rocm6_3-py3_10-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm-py3_10-build
- linux-focal-rocm6_3-py3_10-build
- target-determination
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6.3-py3.10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.test-matrix }}
secrets: inherit
linux-focal-cuda12_6-py3-gcc11-slow-gradcheck-build:
@ -182,14 +181,14 @@ jobs:
cuda-arch-list: 8.6
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 2, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 3, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 4, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 5, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 6, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 7, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 8, num_shards: 8, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 1, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 2, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 3, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 4, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 5, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 6, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 7, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
{ config: "default", shard: 8, num_shards: 8, runner: "linux.g5.4xlarge.nvidia.gpu", owners: ["module:slowgradcheck"] },
]}
secrets: inherit
@ -205,3 +204,18 @@ jobs:
test-matrix: ${{ needs.linux-focal-cuda12_6-py3-gcc11-slow-gradcheck-build.outputs.test-matrix }}
timeout-minutes: 300
secrets: inherit
linux-focal-cuda12_6-py3_10-gcc11-bazel-test:
name: linux-focal-cuda12.6-py3.10-gcc11-bazel-test
uses: ./.github/workflows/_bazel-build-test.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}linux.large"
build-environment: linux-focal-cuda12.6-py3.10-gcc11-bazel-test
docker-image-name: pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11
cuda-version: "12.6"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
]}
secrets: inherit

View File

@ -184,7 +184,7 @@ jobs:
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
runner: "${{ needs.get-label-type.outputs.label-type }}linux.2xlarge"
build-environment: linux-focal-py3.9-clang10
docker-image-name: pytorch-linux-focal-py3.9-clang10
test-matrix: |
@ -385,9 +385,6 @@ jobs:
name: linux-focal-cpu-py3.10-gcc11-bazel-test
uses: ./.github/workflows/_bazel-build-test.yml
needs: get-label-type
permissions:
id-token: write
contents: read
with:
runner: "${{ needs.get-label-type.outputs.label-type }}linux.large"
build-environment: linux-focal-cuda12.6-py3.10-gcc11-bazel-test
@ -414,15 +411,15 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-build:
linux-focal-rocm6_3-py3_10-build:
# don't run build twice on main
if: github.event_name == 'pull_request'
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |

View File

@ -36,14 +36,14 @@ jobs:
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-rocm-py3_10-build:
linux-focal-rocm6_3-py3_10-build:
if: ${{ (github.event_name != 'schedule' || github.repository == 'pytorch/pytorch') && github.repository_owner == 'pytorch' }}
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
@ -57,17 +57,17 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-test:
linux-focal-rocm6_3-py3_10-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm-py3_10-build
- linux-focal-rocm6_3-py3_10-build
- target-determination
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6.3-py3.10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.test-matrix }}
secrets: inherit

View File

@ -26,12 +26,12 @@ jobs:
id-token: write
contents: read
linux-focal-rocm-py3_10-build:
linux-focal-rocm6_3-py3_10-build:
if: ${{ (github.event_name != 'schedule' || github.repository == 'pytorch/pytorch') && github.repository_owner == 'pytorch' }}
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-focal-rocm-py3.10
build-environment: linux-focal-rocm6.3-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
@ -45,17 +45,17 @@ jobs:
]}
secrets: inherit
linux-focal-rocm-py3_10-test:
linux-focal-rocm6_3-py3_10-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm-py3.10
name: linux-focal-rocm6.3-py3.10
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm-py3_10-build
- linux-focal-rocm6_3-py3_10-build
- target-determination
with:
build-environment: linux-focal-rocm-py3.10
docker-image: ${{ needs.linux-focal-rocm-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm-py3_10-build.outputs.test-matrix }}
build-environment: linux-focal-rocm6.3-py3.10
docker-image: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_3-py3_10-build.outputs.test-matrix }}
secrets: inherit

View File

@ -21,6 +21,6 @@ jobs:
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-s390x-binary-manywheel
docker-image-name: pytorch/manylinuxs390x-builder:cpu-s390x
docker-image-name: pytorch/manylinuxs390x-builder:cpu-s390x-main
runner: linux.s390x
secrets: inherit

View File

@ -42,7 +42,7 @@ jobs:
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-s390x-binary-manywheel
docker-image-name: pytorch/manylinuxs390x-builder:cpu-s390x
docker-image-name: pytorch/manylinuxs390x-builder:cpu-s390x-main
runner: linux.s390x
test-matrix: |
{ include: [
@ -70,8 +70,8 @@ jobs:
- target-determination
with:
build-environment: linux-s390x-binary-manywheel
docker-image: pytorch/manylinuxs390x-builder:cpu-s390x
docker-image: pytorch/manylinuxs390x-builder:cpu-s390x-main
test-matrix: ${{ needs.linux-manylinux-2_28-py3-cpu-s390x-build.outputs.test-matrix }}
timeout-minutes: 600
timeout-minutes: 480
use-gha: "yes"
secrets: inherit

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