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Author SHA1 Message Date
37257774c6 Triton wheel build using 2.3.x branch (#122403)
* Triton build 2.3.x

* Revert "[Release Only] Build triton using pinned version rather branch (#121765)"

This reverts commit d69c4219127e2cf5d9637b0daacc0a24e65f8133.

* Triton wheel change

* release
2024-03-21 12:52:21 -04:00
c4e5434423 necessary change to make torch2.3 work with triton2.2 (#122139) 2024-03-21 08:24:53 -04:00
b4f90aae1b CI: Specify libc and libstdcxx versions in conda environments (#121929)
Without this we get mismatches between the GLIBC and GLIBCXX ABI used
by conda packages vs pytorch.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/121556
Approved by: https://github.com/isuruf, https://github.com/malfet

(cherry picked from commit 7a53dedb07ed72b85d1e083ce38c43c7810fc5f1)

Co-authored-by: Peter Bell <peterbell10@live.co.uk>
2024-03-14 17:56:46 -04:00
94d6463255 [RELEASE ONLY CHANGES] Increase timeout for linux binary jobs, fix workflow lint (#121851)
* [release only] Increase timeout job for linux binary builds by 30min

* fix lint
2024-03-13 19:50:57 -04:00
6a89a753b1 [RELEASE ONLY CHANGES] Apply release only changes Release 2.3 (#121813)
* [Release only changes] Release only changes #2

* common+lint
2024-03-13 11:03:48 -04:00
d69c421912 [Release Only] Build triton using pinned version rather branch (#121765) 2024-03-12 19:05:23 -04:00
6725db07ae [RELEASE ONLY CHANGES] Apply release only changes Release 2.3 (#121726)
* Apply release only changes

* temp changes

* tweak

* fix

* Revert "tweak"

This reverts commit 38edcac21448829ac114c73423c84614628e2598.
2024-03-12 18:14:35 -04:00
5933 changed files with 507345 additions and 212800 deletions

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@ -1,4 +1,3 @@
# We do not use this library in our Bazel build. It contains an
# infinitely recursing symlink that makes Bazel very unhappy.
third_party/ittapi/
third_party/opentelemetry-cpp

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@ -84,27 +84,13 @@ fi
# CMake 3.18 is needed to support CUDA17 language variant
CMAKE_VERSION=3.18.5
_UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
_UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
_UCX_COMMIT=00bcc6bb18fc282eb160623b4c0d300147f579af
_UCC_COMMIT=7cb07a76ccedad7e56ceb136b865eb9319c258ea
# It's annoying to rename jobs every time you want to rewrite a
# configuration, so we hardcode everything here rather than do it
# from scratch
case "$image" in
pytorch-linux-focal-cuda12.4-cudnn8-py3-gcc9)
CUDA_VERSION=12.4.0
CUDNN_VERSION=8
ANACONDA_PYTHON_VERSION=3.10
GCC_VERSION=9
PROTOBUF=yes
DB=yes
VISION=yes
KATEX=yes
UCX_COMMIT=${_UCX_COMMIT}
UCC_COMMIT=${_UCC_COMMIT}
CONDA_CMAKE=yes
TRITON=yes
;;
pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9)
CUDA_VERSION=12.1.1
CUDNN_VERSION=8
@ -119,21 +105,6 @@ case "$image" in
CONDA_CMAKE=yes
TRITON=yes
;;
pytorch-linux-focal-cuda12.4-cudnn8-py3-gcc9-inductor-benchmarks)
CUDA_VERSION=12.4.0
CUDNN_VERSION=8
ANACONDA_PYTHON_VERSION=3.10
GCC_VERSION=9
PROTOBUF=yes
DB=yes
VISION=yes
KATEX=yes
UCX_COMMIT=${_UCX_COMMIT}
UCC_COMMIT=${_UCC_COMMIT}
CONDA_CMAKE=yes
TRITON=yes
INDUCTOR_BENCHMARKS=yes
;;
pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9-inductor-benchmarks)
CUDA_VERSION=12.1.1
CUDNN_VERSION=8
@ -163,20 +134,6 @@ case "$image" in
CONDA_CMAKE=yes
TRITON=yes
;;
pytorch-linux-focal-cuda12.4-cudnn8-py3-gcc9)
CUDA_VERSION=12.4.0
CUDNN_VERSION=8
ANACONDA_PYTHON_VERSION=3.10
GCC_VERSION=9
PROTOBUF=yes
DB=yes
VISION=yes
KATEX=yes
UCX_COMMIT=${_UCX_COMMIT}
UCC_COMMIT=${_UCC_COMMIT}
CONDA_CMAKE=yes
TRITON=yes
;;
pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9)
CUDA_VERSION=12.1.1
CUDNN_VERSION=8
@ -247,7 +204,7 @@ case "$image" in
PROTOBUF=yes
DB=yes
VISION=yes
ROCM_VERSION=6.0
ROCM_VERSION=5.7
NINJA_VERSION=1.9.0
CONDA_CMAKE=yes
TRITON=yes
@ -258,7 +215,7 @@ case "$image" in
PROTOBUF=yes
DB=yes
VISION=yes
ROCM_VERSION=6.1
ROCM_VERSION=6.0
NINJA_VERSION=1.9.0
CONDA_CMAKE=yes
TRITON=yes
@ -269,10 +226,9 @@ case "$image" in
PROTOBUF=yes
DB=yes
VISION=yes
XPU_VERSION=0.5
BASEKIT_VERSION=2024.0.0-49522
NINJA_VERSION=1.9.0
CONDA_CMAKE=yes
TRITON=yes
;;
pytorch-linux-jammy-py3.8-gcc11-inductor-benchmarks)
ANACONDA_PYTHON_VERSION=3.8
@ -349,12 +305,6 @@ case "$image" in
DB=yes
VISION=yes
CONDA_CMAKE=yes
# snadampal: skipping sccache due to the following issue
# https://github.com/pytorch/pytorch/issues/121559
SKIP_SCCACHE_INSTALL=yes
# snadampal: skipping llvm src build install because the current version
# from pytorch/llvm:9.0.1 is x86 specific
SKIP_LLVM_SRC_BUILD_INSTALL=yes
;;
*)
# Catch-all for builds that are not hardcoded.
@ -409,7 +359,7 @@ if [[ "$image" == *cuda* && ${OS} == "ubuntu" ]]; then
fi
# Build image
docker build \
DOCKER_BUILDKIT=1 docker build \
--no-cache \
--progress=plain \
--build-arg "BUILD_ENVIRONMENT=${image}" \
@ -446,10 +396,8 @@ docker build \
--build-arg "DOCS=${DOCS}" \
--build-arg "INDUCTOR_BENCHMARKS=${INDUCTOR_BENCHMARKS}" \
--build-arg "EXECUTORCH=${EXECUTORCH}" \
--build-arg "XPU_VERSION=${XPU_VERSION}" \
--build-arg "BASEKIT_VERSION=${BASEKIT_VERSION}" \
--build-arg "ACL=${ACL:-}" \
--build-arg "SKIP_SCCACHE_INSTALL=${SKIP_SCCACHE_INSTALL:-}" \
--build-arg "SKIP_LLVM_SRC_BUILD_INSTALL=${SKIP_LLVM_SRC_BUILD_INSTALL:-}" \
-f $(dirname ${DOCKERFILE})/Dockerfile \
-t "$tmp_tag" \
"$@" \

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@ -62,7 +62,7 @@ RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
RUN rm install_db.sh
ENV INSTALLED_DB ${DB}
# (optional) Install vision packages like OpenCV
# (optional) Install vision packages like OpenCV and ffmpeg
ARG VISION
COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi

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@ -1 +1 @@
d4b3e5cc607e97afdba79dc90f8ef968142f347c
e2a8f9548aecb62a68e264607174a7d207ed2929

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@ -1 +1 @@
bbe6246e37d8aa791c67daaf9d9d61b26c9ccfdc
0a22a91d04c2b4a029a69a198eac390089c3e891

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@ -1 +0,0 @@
b8c64f64c18d8cac598b3adb355c21e7439c21de

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@ -1 +1 @@
45fff310c891f5a92d55445adf8cc9d29df5841e
79c6c9b209a5692b9a895398f4f3a033f8f80415

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@ -113,6 +113,7 @@ install_centos() {
glibc-devel \
glibc-headers \
glog-devel \
hiredis-devel \
libstdc++-devel \
libsndfile-devel \
make \

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@ -4,10 +4,7 @@ if [[ ${CUDNN_VERSION} == 8 ]]; then
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
mkdir tmp_cudnn
pushd tmp_cudnn
if [[ ${CUDA_VERSION:0:4} == "12.4" ]]; then
CUDNN_NAME="cudnn-linux-x86_64-8.9.7.29_cuda12-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/${CUDNN_NAME}.tar.xz
elif [[ ${CUDA_VERSION:0:4} == "12.1" ]]; then
if [[ ${CUDA_VERSION:0:4} == "12.1" ]]; then
CUDNN_NAME="cudnn-linux-x86_64-8.9.2.26_cuda12-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/${CUDNN_NAME}.tar.xz
elif [[ ${CUDA_VERSION:0:4} == "11.8" ]]; then

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@ -5,14 +5,9 @@ set -ex
# cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
mkdir tmp_cusparselt && cd tmp_cusparselt
if [[ ${CUDA_VERSION:0:4} =~ ^12\.[1-4]$ ]]; then
arch_path='sbsa'
export TARGETARCH=${TARGETARCH:-$(uname -m)}
if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
arch_path='x86_64'
fi
CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.5.2.1-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
if [[ ${CUDA_VERSION:0:4} == "12.1" ]]; then
CUSPARSELT_NAME="libcusparse_lt-linux-x86_64-0.5.2.1-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/${CUSPARSELT_NAME}.tar.xz
elif [[ ${CUDA_VERSION:0:4} == "11.8" ]]; then
CUSPARSELT_NAME="libcusparse_lt-linux-x86_64-0.4.0.7-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/${CUSPARSELT_NAME}.tar.xz

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@ -4,6 +4,11 @@ set -ex
install_ubuntu() {
apt-get update
apt-get install -y --no-install-recommends \
libhiredis-dev \
libleveldb-dev \
liblmdb-dev \
libsnappy-dev
# Cleanup
apt-get autoclean && apt-get clean
@ -15,6 +20,12 @@ install_centos() {
# See http://fedoraproject.org/wiki/EPEL
yum --enablerepo=extras install -y epel-release
yum install -y \
hiredis-devel \
leveldb-devel \
lmdb-devel \
snappy-devel
# Cleanup
yum clean all
rm -rf /var/cache/yum

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@ -33,12 +33,12 @@ pip_install coloredlogs packaging
pip_install onnxruntime==1.17.0
pip_install onnx==1.15.0
# pip_install "onnxscript@git+https://github.com/microsoft/onnxscript@3e869ef8ccf19b5ebd21c10d3e9c267c9a9fa729" --no-deps
pip_install onnxscript==0.1.0.dev20240315 --no-deps
pip_install onnxscript==0.1.0.dev20240301 --no-deps
# Cache the transformers model to be used later by ONNX tests. We need to run the transformers
# package to download the model. By default, the model is cached at ~/.cache/huggingface/hub/
IMPORT_SCRIPT_FILENAME="/tmp/onnx_import_script.py"
as_jenkins echo 'import transformers; transformers.AutoModel.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoTokenizer.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3");' > "${IMPORT_SCRIPT_FILENAME}"
as_jenkins echo 'import transformers; transformers.AutoModel.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoTokenizer.from_pretrained("sshleifer/tiny-gpt2");' > "${IMPORT_SCRIPT_FILENAME}"
# Need a PyTorch version for transformers to work
pip_install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu

View File

@ -11,8 +11,7 @@ mkdir -p $pb_dir
ln -s /usr/lib64 "$pb_dir/lib64"
curl -LO "https://github.com/protocolbuffers/protobuf/releases/download/v3.17.3/protobuf-all-3.17.3.tar.gz" --retry 3
tar -xvz --no-same-owner -C "$pb_dir" --strip-components 1 -f protobuf-all-3.17.3.tar.gz
tar -xvz -C "$pb_dir" --strip-components 1 -f protobuf-all-3.17.3.tar.gz
NPROC=$[$(nproc) - 2]
pushd "$pb_dir" && ./configure && make -j${NPROC} && make -j${NPROC} check && sudo make -j${NRPOC} install && sudo ldconfig
popd

View File

@ -6,6 +6,9 @@ ver() {
printf "%3d%03d%03d%03d" $(echo "$1" | tr '.' ' ');
}
# Map ROCm version to AMDGPU version
declare -A AMDGPU_VERSIONS=( ["5.0"]="21.50" ["5.1.1"]="22.10.1" ["5.2"]="22.20" )
install_ubuntu() {
apt-get update
if [[ $UBUNTU_VERSION == 18.04 ]]; then
@ -23,14 +26,31 @@ install_ubuntu() {
apt-get install -y libc++1
apt-get install -y libc++abi1
# 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
if [[ $(ver $ROCM_VERSION) -ge $(ver 4.5) ]]; then
# Add amdgpu repository
UBUNTU_VERSION_NAME=`cat /etc/os-release | grep UBUNTU_CODENAME | awk -F= '{print $2}'`
local amdgpu_baseurl
if [[ $(ver $ROCM_VERSION) -ge $(ver 5.3) ]]; then
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/ubuntu"
else
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${AMDGPU_VERSIONS[$ROCM_VERSION]}/ubuntu"
fi
echo "deb [arch=amd64] ${amdgpu_baseurl} ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/amdgpu.list
fi
ROCM_REPO="ubuntu"
if [[ $(ver $ROCM_VERSION) -lt $(ver 4.2) ]]; then
ROCM_REPO="xenial"
fi
if [[ $(ver $ROCM_VERSION) -ge $(ver 5.3) ]]; then
ROCM_REPO="${UBUNTU_VERSION_NAME}"
fi
# Add rocm repository
wget -qO - http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add -
local rocm_baseurl="http://repo.radeon.com/rocm/apt/${ROCM_VERSION}"
echo "deb [arch=amd64] ${rocm_baseurl} ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/rocm.list
echo "deb [arch=amd64] ${rocm_baseurl} ${ROCM_REPO} main" > /etc/apt/sources.list.d/rocm.list
apt-get update --allow-insecure-repositories
DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated \
@ -41,25 +61,32 @@ install_ubuntu() {
rocprofiler-dev \
roctracer-dev
if [[ $(ver $ROCM_VERSION) -ge $(ver 6.1) ]]; then
DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated rocm-llvm-dev
fi
# precompiled miopen kernels added in ROCm 3.5, renamed in ROCm 5.5
# search for all unversioned packages
# if search fails it will abort this script; use true to avoid case where search fails
MIOPENHIPGFX=$(apt-cache search --names-only miopen-hip-gfx | awk '{print $1}' | grep -F -v . || true)
if [[ "x${MIOPENHIPGFX}" = x ]]; then
echo "miopen-hip-gfx package not available" && exit 1
if [[ $(ver $ROCM_VERSION) -ge $(ver 5.5) ]]; then
MIOPENHIPGFX=$(apt-cache search --names-only miopen-hip-gfx | awk '{print $1}' | grep -F -v . || true)
if [[ "x${MIOPENHIPGFX}" = x ]]; then
echo "miopen-hip-gfx package not available" && exit 1
else
DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated ${MIOPENHIPGFX}
fi
else
DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated ${MIOPENHIPGFX}
MIOPENKERNELS=$(apt-cache search --names-only miopenkernels | awk '{print $1}' | grep -F -v . || true)
if [[ "x${MIOPENKERNELS}" = x ]]; then
echo "miopenkernels package not available" && exit 1
else
DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated ${MIOPENKERNELS}
fi
fi
# ROCm 6.0 had a regression where journal_mode was enabled on the kdb files resulting in permission errors at runtime
for kdb in /opt/rocm/share/miopen/db/*.kdb
do
sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
done
if [[ $(ver $ROCM_VERSION) -ge $(ver 6.0) ]]; then
for kdb in /opt/rocm/share/miopen/db/*.kdb
do
sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
done
fi
# Cleanup
apt-get autoclean && apt-get clean
@ -76,19 +103,25 @@ install_centos() {
yum install -y epel-release
yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
# Add amdgpu repository
local amdgpu_baseurl
if [[ $OS_VERSION == 9 ]]; then
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/rhel/9.0/main/x86_64"
else
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/rhel/7.9/main/x86_64"
if [[ $(ver $ROCM_VERSION) -ge $(ver 4.5) ]]; then
# Add amdgpu repository
local amdgpu_baseurl
if [[ $OS_VERSION == 9 ]]; then
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${AMDGPU_VERSIONS[$ROCM_VERSION]}/rhel/9.0/main/x86_64"
else
if [[ $(ver $ROCM_VERSION) -ge $(ver 5.3) ]]; then
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/rhel/7.9/main/x86_64"
else
amdgpu_baseurl="https://repo.radeon.com/amdgpu/${AMDGPU_VERSIONS[$ROCM_VERSION]}/rhel/7.9/main/x86_64"
fi
fi
echo "[AMDGPU]" > /etc/yum.repos.d/amdgpu.repo
echo "name=AMDGPU" >> /etc/yum.repos.d/amdgpu.repo
echo "baseurl=${amdgpu_baseurl}" >> /etc/yum.repos.d/amdgpu.repo
echo "enabled=1" >> /etc/yum.repos.d/amdgpu.repo
echo "gpgcheck=1" >> /etc/yum.repos.d/amdgpu.repo
echo "gpgkey=http://repo.radeon.com/rocm/rocm.gpg.key" >> /etc/yum.repos.d/amdgpu.repo
fi
echo "[AMDGPU]" > /etc/yum.repos.d/amdgpu.repo
echo "name=AMDGPU" >> /etc/yum.repos.d/amdgpu.repo
echo "baseurl=${amdgpu_baseurl}" >> /etc/yum.repos.d/amdgpu.repo
echo "enabled=1" >> /etc/yum.repos.d/amdgpu.repo
echo "gpgcheck=1" >> /etc/yum.repos.d/amdgpu.repo
echo "gpgkey=http://repo.radeon.com/rocm/rocm.gpg.key" >> /etc/yum.repos.d/amdgpu.repo
local rocm_baseurl="http://repo.radeon.com/rocm/yum/${ROCM_VERSION}"
echo "[ROCm]" > /etc/yum.repos.d/rocm.repo
@ -110,18 +143,29 @@ install_centos() {
# precompiled miopen kernels; search for all unversioned packages
# if search fails it will abort this script; use true to avoid case where search fails
MIOPENHIPGFX=$(yum -q search miopen-hip-gfx | grep miopen-hip-gfx | awk '{print $1}'| grep -F kdb. || true)
if [[ "x${MIOPENHIPGFX}" = x ]]; then
echo "miopen-hip-gfx package not available" && exit 1
if [[ $(ver $ROCM_VERSION) -ge $(ver 5.5) ]]; then
MIOPENHIPGFX=$(yum -q search miopen-hip-gfx | grep miopen-hip-gfx | awk '{print $1}'| grep -F kdb. || true)
if [[ "x${MIOPENHIPGFX}" = x ]]; then
echo "miopen-hip-gfx package not available" && exit 1
else
yum install -y ${MIOPENHIPGFX}
fi
else
yum install -y ${MIOPENHIPGFX}
MIOPENKERNELS=$(yum -q search miopenkernels | grep miopenkernels- | awk '{print $1}'| grep -F kdb. || true)
if [[ "x${MIOPENKERNELS}" = x ]]; then
echo "miopenkernels package not available" && exit 1
else
yum install -y ${MIOPENKERNELS}
fi
fi
# ROCm 6.0 had a regression where journal_mode was enabled on the kdb files resulting in permission errors at runtime
for kdb in /opt/rocm/share/miopen/db/*.kdb
do
sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
done
if [[ $(ver $ROCM_VERSION) -ge $(ver 6.0) ]]; then
for kdb in /opt/rocm/share/miopen/db/*.kdb
do
sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
done
fi
# Cleanup
yum clean all

View File

@ -13,11 +13,8 @@ conda_reinstall() {
}
if [ -n "${ROCM_VERSION}" ]; then
TRITON_REPO="https://github.com/openai/triton"
TRITON_REPO="https://github.com/ROCmSoftwarePlatform/triton"
TRITON_TEXT_FILE="triton-rocm"
elif [ -n "${XPU_VERSION}" ]; then
TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton"
TRITON_TEXT_FILE="triton-xpu"
else
TRITON_REPO="https://github.com/openai/triton"
TRITON_TEXT_FILE="triton"

View File

@ -5,7 +5,8 @@ set -ex
install_ubuntu() {
apt-get update
apt-get install -y --no-install-recommends \
libopencv-dev
libopencv-dev \
libavcodec-dev
# Cleanup
apt-get autoclean && apt-get clean
@ -18,7 +19,8 @@ install_centos() {
yum --enablerepo=extras install -y epel-release
yum install -y \
opencv-devel
opencv-devel \
ffmpeg-devel
# Cleanup
yum clean all

View File

@ -3,7 +3,10 @@ set -xe
# Intel® software for general purpose GPU capabilities.
# Refer to https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
# Refer to https://dgpu-docs.intel.com/releases/stable_647_21_20230714.html
# Intel® oneAPI Base Toolkit (version 2024.0.0) has been updated to include functional and security updates.
# Refer to https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html
# Users should update to the latest version as it becomes available
@ -14,16 +17,14 @@ function install_ubuntu() {
# Set up the repository. To do this, download the key to the system keyring
wget -qO - https://repositories.intel.com/gpu/intel-graphics.key \
| gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg
wget -qO - https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
| gpg --dearmor --output /usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
| gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
# Add the signed entry to APT sources and configure the APT client to use the Intel repository
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] \
https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/production/2328 unified" \
| tee /etc/apt/sources.list.d/intel-gpu-jammy.list
echo "deb [signed-by=/usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg] \
https://apt.repos.intel.com/intel-for-pytorch-gpu-dev all main" \
| tee /etc/apt/sources.list.d/intel-for-pytorch-gpu-dev.list
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" \
| tee /etc/apt/sources.list.d/oneAPI.list
# Update the packages list and repository index
apt-get update
@ -39,11 +40,11 @@ function install_ubuntu() {
mesa-vdpau-drivers mesa-vulkan-drivers va-driver-all vainfo hwinfo clinfo
# Development Packages
apt-get install -y libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev
# Install Intel Support Packages
if [ -n "$XPU_VERSION" ]; then
apt-get install -y intel-for-pytorch-gpu-dev-${XPU_VERSION}
# Install Intel® oneAPI Base Toolkit
if [ -n "$BASEKIT_VERSION" ]; then
apt-get install intel-basekit=$BASEKIT_VERSION -y
else
apt-get install -y intel-for-pytorch-gpu-dev
apt-get install intel-basekit -y
fi
# Cleanup

View File

@ -85,10 +85,10 @@ librosa>=0.6.2 ; python_version < "3.11"
#Pinned versions:
#test that import:
mypy==1.9.0
mypy==1.8.0
# Pin MyPy version because new errors are likely to appear with each release
#Description: linter
#Pinned versions: 1.9.0
#Pinned versions: 1.8.0
#test that import: test_typing.py, test_type_hints.py
networkx==2.8.8
@ -134,9 +134,9 @@ opt-einsum==3.3
#Pinned versions: 3.3
#test that import: test_linalg.py
optree==0.11.0
optree==0.9.1
#Description: A library for tree manipulation
#Pinned versions: 0.11.0
#Pinned versions: 0.9.1
#test that import: test_vmap.py, test_aotdispatch.py, test_dynamic_shapes.py,
#test_pytree.py, test_ops.py, test_control_flow.py, test_modules.py,
#common_utils.py, test_eager_transforms.py, test_python_dispatch.py,
@ -147,9 +147,9 @@ optree==0.11.0
#test_pointwise_ops.py, test_dtensor_ops.py, test_torchinductor.py, test_fx.py,
#test_fake_tensor.py, test_mps.py
pillow==10.3.0
pillow==10.2.0
#Description: Python Imaging Library fork
#Pinned versions: 10.3.0
#Pinned versions: 10.2.0
#test that import:
protobuf==3.20.2
@ -228,11 +228,12 @@ scikit-image==0.20.0 ; python_version >= "3.10"
#Pinned versions: 0.20.3
#test that import:
scipy==1.10.1 ; python_version <= "3.11"
scipy==1.12.0 ; python_version == "3.12"
scipy==1.6.3 ; python_version < "3.10"
scipy==1.8.1 ; python_version == "3.10"
scipy==1.10.1 ; python_version == "3.11"
# Pin SciPy because of failing distribution tests (see #60347)
#Description: scientific python
#Pinned versions: 1.10.1
#Pinned versions: 1.6.3
#test that import: test_unary_ufuncs.py, test_torch.py,test_tensor_creation_ops.py
#test_spectral_ops.py, test_sparse_csr.py, test_reductions.py,test_nn.py
#test_linalg.py, test_binary_ufuncs.py
@ -263,10 +264,10 @@ unittest-xml-reporting<=3.2.0,>=2.0.0
#Pinned versions:
#test that import:
#lintrunner is supported on aarch64-linux only from 0.12.4 version
lintrunner==0.12.5
#wheel not found on aarch64, and source build requires rust
lintrunner==0.10.7 ; platform_machine == "x86_64"
#Description: all about linters!
#Pinned versions: 0.12.5
#Pinned versions: 0.10.7
#test that import:
rockset==1.0.3
@ -279,9 +280,9 @@ ghstack==0.8.0
#Pinned versions: 0.8.0
#test that import:
jinja2==3.1.4
jinja2==3.1.3
#Description: jinja2 template engine
#Pinned versions: 3.1.4
#Pinned versions: 3.1.3
#test that import:
pytest-cpp==2.3.0
@ -310,5 +311,3 @@ lxml==5.0.0.
#Description: This is a requirement of unittest-xml-reporting
# Python-3.9 binaries
PyGithub==2.3.0

View File

@ -1 +1 @@
3.0.0
2.3.0

View File

@ -56,7 +56,7 @@ RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
RUN rm install_db.sh
ENV INSTALLED_DB ${DB}
# (optional) Install vision packages like OpenCV
# (optional) Install vision packages like OpenCV and ffmpeg
ARG VISION
COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
@ -152,7 +152,6 @@ RUN rm install_cusparselt.sh
RUN if [ -h /usr/local/cuda-11.6/cuda-11.6 ]; then rm /usr/local/cuda-11.6/cuda-11.6; fi
RUN if [ -h /usr/local/cuda-11.7/cuda-11.7 ]; then rm /usr/local/cuda-11.7/cuda-11.7; fi
RUN if [ -h /usr/local/cuda-12.1/cuda-12.1 ]; then rm /usr/local/cuda-12.1/cuda-12.1; fi
RUN if [ -h /usr/local/cuda-12.1/cuda-12.4 ]; then rm /usr/local/cuda-12.1/cuda-12.4; fi
USER jenkins
CMD ["bash"]

View File

@ -53,7 +53,7 @@ RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
RUN rm install_db.sh
ENV INSTALLED_DB ${DB}
# (optional) Install vision packages like OpenCV
# (optional) Install vision packages like OpenCV and ffmpeg
ARG VISION
COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi

View File

@ -61,20 +61,15 @@ COPY ci_commit_pins/timm.txt timm.txt
RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_deps.sh; fi
RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
# Install XPU Dependencies
ARG XPU_VERSION
COPY ./common/install_xpu.sh install_xpu.sh
RUN bash ./install_xpu.sh && rm install_xpu.sh
ARG TRITON
# Install triton, this needs to be done before sccache because the latter will
# try to reach out to S3, which docker build runners don't have access
COPY ./common/install_triton.sh install_triton.sh
COPY ./common/common_utils.sh common_utils.sh
COPY ci_commit_pins/triton-xpu.txt triton-xpu.txt
COPY triton_version.txt triton_version.txt
# TODO: will add triton xpu commit
COPY ci_commit_pins/triton.txt triton.txt
RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
RUN rm install_triton.sh common_utils.sh triton-xpu.txt triton_version.txt
RUN rm install_triton.sh common_utils.sh triton.txt
# (optional) Install database packages like LMDB and LevelDB
ARG DB
@ -83,13 +78,18 @@ RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
RUN rm install_db.sh
ENV INSTALLED_DB ${DB}
# (optional) Install vision packages like OpenCV
# (optional) Install vision packages like OpenCV and ffmpeg
ARG VISION
COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
ENV INSTALLED_VISION ${VISION}
# Install XPU Dependencies
ARG BASEKIT_VERSION
COPY ./common/install_xpu.sh install_xpu.sh
RUN bash ./install_xpu.sh && rm install_xpu.sh
# (optional) Install non-default CMake version
ARG CMAKE_VERSION
COPY ./common/install_cmake.sh install_cmake.sh

View File

@ -80,7 +80,7 @@ RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
RUN rm install_db.sh
ENV INSTALLED_DB ${DB}
# (optional) Install vision packages like OpenCV
# (optional) Install vision packages like OpenCV and ffmpeg
ARG VISION
COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
@ -169,11 +169,9 @@ RUN rm install_acl.sh
ENV INSTALLED_ACL ${ACL}
# Install ccache/sccache (do this last, so we get priority in PATH)
ARG SKIP_SCCACHE_INSTALL
COPY ./common/install_cache.sh install_cache.sh
ENV PATH /opt/cache/bin:$PATH
RUN if [ -z "${SKIP_SCCACHE_INSTALL}" ]; then bash ./install_cache.sh; fi
RUN rm install_cache.sh
RUN bash ./install_cache.sh && rm install_cache.sh
# Add jni.h for java host build
COPY ./common/install_jni.sh install_jni.sh
@ -190,9 +188,7 @@ ARG BUILD_ENVIRONMENT
ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
# Install LLVM dev version (Defined in the pytorch/builder github repository)
ARG SKIP_LLVM_SRC_BUILD_INSTALL
COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm
RUN if [ -n "${SKIP_LLVM_SRC_BUILD_INSTALL}" ]; then set -eu; rm -rf /opt/llvm; fi
# AWS specific CUDA build guidance
ENV TORCH_CUDA_ARCH_LIST Maxwell

View File

@ -1,9 +1,5 @@
#!/bin/bash
set -ex
source "$(dirname "${BASH_SOURCE[0]}")/../pytorch/common_utils.sh"
LOCAL_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
ROOT_DIR=$(cd "$LOCAL_DIR"/../.. && pwd)
TEST_DIR="$ROOT_DIR/test"

View File

@ -3,20 +3,6 @@
# shellcheck source=./common.sh
source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
# Workaround for dind-rootless userid mapping (https://github.com/pytorch/ci-infra/issues/96)
WORKSPACE_ORIGINAL_OWNER_ID=$(stat -c '%u' "/var/lib/jenkins/workspace")
cleanup_workspace() {
echo "sudo may print the following warning message that can be ignored. The chown command will still run."
echo " sudo: setrlimit(RLIMIT_STACK): Operation not permitted"
echo "For more details refer to https://github.com/sudo-project/sudo/issues/42"
sudo chown -R "$WORKSPACE_ORIGINAL_OWNER_ID" /var/lib/jenkins/workspace
}
# Disable shellcheck SC2064 as we want to parse the original owner immediately.
# shellcheck disable=SC2064
trap_add cleanup_workspace EXIT
sudo chown -R jenkins /var/lib/jenkins/workspace
git config --global --add safe.directory /var/lib/jenkins/workspace
if [[ "$BUILD_ENVIRONMENT" == *onnx* ]]; then
# TODO: This can be removed later once vision is also part of the Docker image
pip install -q --user --no-use-pep517 "git+https://github.com/pytorch/vision.git@$(cat .github/ci_commit_pins/vision.txt)"

View File

@ -44,6 +44,11 @@ if [[ "$BUILD_ENVIRONMENT" == *cuda11* ]]; then
fi
fi
if [[ ${BUILD_ENVIRONMENT} == *"caffe2"* ]]; then
echo "Caffe2 build is ON"
export BUILD_CAFFE2=ON
fi
if [[ ${BUILD_ENVIRONMENT} == *"paralleltbb"* ]]; then
export ATEN_THREADING=TBB
export USE_TBB=1
@ -76,22 +81,7 @@ if ! which conda; then
export USE_MKLDNN=0
fi
else
# CMAKE_PREFIX_PATH precedences
# 1. $CONDA_PREFIX, if defined. This follows the pytorch official build instructions.
# 2. /opt/conda/envs/py_${ANACONDA_PYTHON_VERSION}, if ANACONDA_PYTHON_VERSION defined.
# This is for CI, which defines ANACONDA_PYTHON_VERSION but not CONDA_PREFIX.
# 3. $(conda info --base). The fallback value of pytorch official build
# instructions actually refers to this.
# Commonly this is /opt/conda/
if [[ -v CONDA_PREFIX ]]; then
export CMAKE_PREFIX_PATH=${CONDA_PREFIX}
elif [[ -v ANACONDA_PYTHON_VERSION ]]; then
export CMAKE_PREFIX_PATH="/opt/conda/envs/py_${ANACONDA_PYTHON_VERSION}"
else
# already checked by `! which conda`
CMAKE_PREFIX_PATH="$(conda info --base)"
export CMAKE_PREFIX_PATH
fi
export CMAKE_PREFIX_PATH=/opt/conda
# Workaround required for MKL library linkage
# https://github.com/pytorch/pytorch/issues/119557
@ -233,24 +223,6 @@ if [[ "${BUILD_ENVIRONMENT}" != *android* && "${BUILD_ENVIRONMENT}" != *cuda* ]]
export BUILD_STATIC_RUNTIME_BENCHMARK=ON
fi
# Do not change workspace permissions for ROCm CI jobs
# as it can leave workspace with bad permissions for cancelled jobs
if [[ "$BUILD_ENVIRONMENT" != *rocm* ]]; then
# Workaround for dind-rootless userid mapping (https://github.com/pytorch/ci-infra/issues/96)
WORKSPACE_ORIGINAL_OWNER_ID=$(stat -c '%u' "/var/lib/jenkins/workspace")
cleanup_workspace() {
echo "sudo may print the following warning message that can be ignored. The chown command will still run."
echo " sudo: setrlimit(RLIMIT_STACK): Operation not permitted"
echo "For more details refer to https://github.com/sudo-project/sudo/issues/42"
sudo chown -R "$WORKSPACE_ORIGINAL_OWNER_ID" /var/lib/jenkins/workspace
}
# Disable shellcheck SC2064 as we want to parse the original owner immediately.
# shellcheck disable=SC2064
trap_add cleanup_workspace EXIT
sudo chown -R jenkins /var/lib/jenkins/workspace
git config --global --add safe.directory /var/lib/jenkins/workspace
fi
if [[ "$BUILD_ENVIRONMENT" == *-bazel-* ]]; then
set -e
@ -276,17 +248,13 @@ else
( ! get_exit_code python setup.py clean bad_argument )
if [[ "$BUILD_ENVIRONMENT" != *libtorch* ]]; then
# rocm builds fail when WERROR=1
# XLA test build fails when WERROR=1
# set only when building other architectures
# or building non-XLA tests.
if [[ "$BUILD_ENVIRONMENT" != *rocm* &&
"$BUILD_ENVIRONMENT" != *xla* ]]; then
if [[ "$BUILD_ENVIRONMENT" != *py3.8* ]]; then
# Install numpy-2.0 release candidate for builds
# Which should be backward compatible with Numpy-1.X
python -mpip install --pre numpy==2.0.0rc1
fi
WERROR=1 python setup.py bdist_wheel
else
python setup.py bdist_wheel
@ -386,8 +354,4 @@ if [[ "$BUILD_ENVIRONMENT" != *libtorch* && "$BUILD_ENVIRONMENT" != *bazel* ]];
python tools/stats/export_test_times.py
fi
# snadampal: skipping it till sccache support added for aarch64
# https://github.com/pytorch/pytorch/issues/121559
if [[ "$BUILD_ENVIRONMENT" != *aarch64* ]]; then
print_sccache_stats
fi
print_sccache_stats

View File

@ -159,7 +159,7 @@ function install_torchvision() {
}
function install_tlparse() {
pip_install --user "tlparse==0.3.7"
pip_install --user "tlparse==0.3.5"
PATH="$(python -m site --user-base)/bin:$PATH"
}
@ -178,7 +178,7 @@ function install_torchrec_and_fbgemm() {
function clone_pytorch_xla() {
if [[ ! -d ./xla ]]; then
git clone --recursive --quiet https://github.com/pytorch/xla.git
git clone --recursive -b r2.3 https://github.com/pytorch/xla.git
pushd xla
# pin the xla hash so that we don't get broken by changes to xla
git checkout "$(cat ../.github/ci_commit_pins/xla.txt)"

View File

@ -6,4 +6,4 @@ source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
echo "Testing pytorch docs"
cd docs
TERM=vt100 make doctest
make doctest

View File

@ -45,10 +45,6 @@ time python test/run_test.py --verbose -i distributed/test_device_mesh
time python test/run_test.py --verbose -i distributed/tensor/parallel/test_ddp_2d_parallel
time python test/run_test.py --verbose -i distributed/tensor/parallel/test_fsdp_2d_parallel
time python test/run_test.py --verbose -i distributed/tensor/parallel/test_tp_examples
time python test/run_test.py --verbose -i distributed/tensor/parallel/test_tp_random_state
# FSDP2 tests
time python test/run_test.py --verbose -i distributed/_composable/fsdp/test_fully_shard_training -- -k test_2d_mlp_with_nd_mesh
# Other tests
time python test/run_test.py --verbose -i test_cuda_primary_ctx

View File

@ -59,16 +59,16 @@ print("sample mean: ", sample_mean)
print("sample sigma: ", sample_sigma)
if math.isnan(sample_mean):
raise Exception("""Error: sample mean is NaN""") # noqa: TRY002
raise Exception("""Error: sample mean is NaN""")
elif math.isnan(sample_sigma):
raise Exception("""Error: sample sigma is NaN""") # noqa: TRY002
raise Exception("""Error: sample sigma is NaN""")
z_value = (sample_mean - mean) / sigma
print("z-value: ", z_value)
if z_value >= 3:
raise Exception( # noqa: TRY002
raise Exception(
f"""\n
z-value >= 3, there is high chance of perf regression.\n
To reproduce this regression, run

View File

@ -26,8 +26,8 @@ echo "error: python_doc_push_script.sh: version (arg2) not specified"
fi
# Argument 1: Where to copy the built documentation to
# (pytorch_docs/$install_path)
install_path="${1:-${DOCS_INSTALL_PATH:-${DOCS_VERSION}}}"
# (pytorch.github.io/$install_path)
install_path="${1:-${DOCS_INSTALL_PATH:-docs/${DOCS_VERSION}}}"
if [ -z "$install_path" ]; then
echo "error: python_doc_push_script.sh: install_path (arg1) not specified"
exit 1
@ -68,8 +68,8 @@ build_docs () {
}
git clone https://github.com/pytorch/docs pytorch_docs -b "$branch" --depth 1
pushd pytorch_docs
git clone https://github.com/pytorch/pytorch.github.io -b "$branch" --depth 1
pushd pytorch.github.io
export LC_ALL=C
export PATH=/opt/conda/bin:$PATH
@ -105,7 +105,6 @@ if [ "$is_main_doc" = true ]; then
echo undocumented objects found:
cat build/coverage/python.txt
echo "Make sure you've updated relevant .rsts in docs/source!"
echo "You can reproduce locally by running 'cd docs && make coverage && cat build/coverage/python.txt'"
exit 1
fi
else

View File

@ -6,27 +6,6 @@
set -ex
# shellcheck source=./common.sh
source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
# Do not change workspace permissions for ROCm CI jobs
# as it can leave workspace with bad permissions for cancelled jobs
if [[ "$BUILD_ENVIRONMENT" != *rocm* ]]; then
# Workaround for dind-rootless userid mapping (https://github.com/pytorch/ci-infra/issues/96)
WORKSPACE_ORIGINAL_OWNER_ID=$(stat -c '%u' "/var/lib/jenkins/workspace")
cleanup_workspace() {
echo "sudo may print the following warning message that can be ignored. The chown command will still run."
echo " sudo: setrlimit(RLIMIT_STACK): Operation not permitted"
echo "For more details refer to https://github.com/sudo-project/sudo/issues/42"
sudo chown -R "$WORKSPACE_ORIGINAL_OWNER_ID" /var/lib/jenkins/workspace
}
# Disable shellcheck SC2064 as we want to parse the original owner immediately.
# shellcheck disable=SC2064
trap_add cleanup_workspace EXIT
sudo chown -R jenkins /var/lib/jenkins/workspace
git config --global --add safe.directory /var/lib/jenkins/workspace
fi
echo "Environment variables:"
env
@ -111,6 +90,9 @@ if [[ -n $TESTS_TO_INCLUDE ]]; then
INCLUDE_CLAUSE="--include $TESTS_TO_INCLUDE"
fi
# shellcheck source=./common.sh
source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
echo "Environment variables"
env
@ -181,11 +163,6 @@ if [[ "$BUILD_ENVIRONMENT" != *-bazel-* ]] ; then
export PATH="$HOME/.local/bin:$PATH"
fi
if [[ "$BUILD_ENVIRONMENT" == *aarch64* ]]; then
# TODO: revisit this once the CI is stabilized on aarch64 linux
export VALGRIND=OFF
fi
install_tlparse
# DANGER WILL ROBINSON. The LD_PRELOAD here could cause you problems
@ -234,6 +211,8 @@ if [[ "$BUILD_ENVIRONMENT" == *asan* ]]; then
export LD_PRELOAD=/usr/lib/llvm-15/lib/clang/15.0.7/lib/linux/libclang_rt.asan-x86_64.so
# Disable valgrind for asan
export VALGRIND=OFF
# Increase stack size, because ASAN red zones use more stack
ulimit -s 81920
(cd test && python -c "import torch; print(torch.__version__, torch.version.git_version)")
echo "The next four invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured"
@ -310,23 +289,19 @@ test_dynamo_shard() {
test_inductor_distributed() {
# Smuggle a few multi-gpu tests here so that we don't have to request another large node
echo "Testing multi_gpu tests in test_torchinductor"
python test/run_test.py -i inductor/test_torchinductor.py -k test_multi_gpu --verbose
python test/run_test.py -i inductor/test_aot_inductor.py -k test_non_default_cuda_device --verbose
python test/run_test.py -i inductor/test_aot_inductor.py -k test_replicate_on_devices --verbose
python test/run_test.py -i distributed/test_c10d_functional_native.py --verbose
python test/run_test.py -i distributed/_tensor/test_dtensor_compile.py --verbose
python test/run_test.py -i distributed/tensor/parallel/test_fsdp_2d_parallel.py --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_comm.py --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_multi_group --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_with_activation_checkpointing --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_2d_mlp --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_hsdp --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_2d_transformer_checkpoint_resume --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_training.py -k test_gradient_accumulation --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_frozen.py --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_mixed_precision.py -k test_compute_dtype --verbose
python test/run_test.py -i distributed/_composable/fsdp/test_fully_shard_mixed_precision.py -k test_reduce_dtype --verbose
python test/run_test.py -i distributed/fsdp/test_fsdp_tp_integration.py -k test_fsdp_tp_integration --verbose
pytest test/inductor/test_torchinductor.py -k test_multi_gpu
pytest test/inductor/test_aot_inductor.py -k test_non_default_cuda_device
pytest test/inductor/test_aot_inductor.py -k test_replicate_on_devices
pytest test/distributed/test_c10d_functional_native.py
pytest test/distributed/_tensor/test_dtensor_compile.py
pytest test/distributed/tensor/parallel/test_fsdp_2d_parallel.py
pytest test/distributed/_composable/fsdp/test_fully_shard_comm.py
pytest test/distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_multi_group
pytest test/distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_with_activation_checkpointing
pytest test/distributed/_composable/fsdp/test_fully_shard_training.py -k test_train_parity_2d_mlp
pytest test/distributed/_composable/fsdp/test_fully_shard_frozen.py
pytest test/distributed/_composable/fsdp/test_fully_shard_mixed_precision.py -k test_compute_dtype
pytest test/distributed/_composable/fsdp/test_fully_shard_mixed_precision.py -k test_reduce_dtype
# this runs on both single-gpu and multi-gpu instance. It should be smart about skipping tests that aren't supported
# with if required # gpus aren't available
@ -338,13 +313,13 @@ test_inductor() {
python tools/dynamo/verify_dynamo.py
python test/run_test.py --inductor --include test_modules test_ops test_ops_gradients test_torch --verbose
# Do not add --inductor for the following inductor unit tests, otherwise we will fail because of nested dynamo state
python test/run_test.py --include inductor/test_torchinductor inductor/test_torchinductor_opinfo inductor/test_aot_inductor --verbose
python test/run_test.py --include inductor/test_torchinductor inductor/test_torchinductor_opinfo --verbose
# docker build uses bdist_wheel which does not work with test_aot_inductor
# TODO: need a faster way to build
if [[ "$BUILD_ENVIRONMENT" != *rocm* ]]; then
BUILD_AOT_INDUCTOR_TEST=1 python setup.py develop
CPP_TESTS_DIR="${BUILD_BIN_DIR}" LD_LIBRARY_PATH="${TORCH_LIB_DIR}" python test/run_test.py --cpp --verbose -i cpp/test_aoti_abi_check cpp/test_aoti_inference
CPP_TESTS_DIR="${BUILD_BIN_DIR}" LD_LIBRARY_PATH="${TORCH_LIB_DIR}" python test/run_test.py --cpp --verbose -i cpp/test_aot_inductor
fi
}
@ -457,17 +432,6 @@ test_perf_for_dashboard() {
"${target_flag[@]}" --"$mode" --"$dtype" --backend "$backend" "$@" \
--output "$TEST_REPORTS_DIR/${backend}_max_autotune_${suite}_${dtype}_${mode}_cuda_${target}.csv"
fi
if [[ "$DASHBOARD_TAG" == *cudagraphs_low_precision-true* ]] && [[ "$mode" == "inference" ]]; then
# TODO: This has a new dtype called quant and the benchmarks script needs to be updated to support this.
# The tentative command is as follows. It doesn't work now, but it's ok because we only need mock data
# to fill the dashboard.
python "benchmarks/dynamo/$suite.py" \
"${target_flag[@]}" --"$mode" --quant --backend "$backend" "$@" \
--output "$TEST_REPORTS_DIR/${backend}_cudagraphs_low_precision_${suite}_quant_${mode}_cuda_${target}.csv" || true
# Copy cudagraph results as mock data, easiest choice?
cp "$TEST_REPORTS_DIR/${backend}_with_cudagraphs_${suite}_${dtype}_${mode}_cuda_${target}.csv" \
"$TEST_REPORTS_DIR/${backend}_cudagraphs_low_precision_${suite}_quant_${mode}_cuda_${target}.csv"
fi
done
done
}
@ -522,11 +486,6 @@ test_single_dynamo_benchmark() {
fi
}
test_inductor_micro_benchmark() {
TEST_REPORTS_DIR=$(pwd)/test/test-reports
python benchmarks/gpt_fast/benchmark.py --output "${TEST_REPORTS_DIR}/gpt_fast_benchmark.csv"
}
test_dynamo_benchmark() {
# Usage: test_dynamo_benchmark huggingface 0
TEST_REPORTS_DIR=$(pwd)/test/test-reports
@ -588,15 +547,6 @@ test_inductor_torchbench_smoketest_perf() {
"$TEST_REPORTS_DIR/inductor_training_smoketest_$test.csv" \
--expected benchmarks/dynamo/expected_ci_perf_inductor_torchbench.csv
done
# Perform some "warm-start" runs for a few huggingface models.
for test in AlbertForQuestionAnswering AllenaiLongformerBase DistilBertForMaskedLM DistillGPT2 GoogleFnet YituTechConvBert; do
python benchmarks/dynamo/huggingface.py --accuracy --training --amp --inductor --device cuda --warm-start-latency \
--only $test --output "$TEST_REPORTS_DIR/inductor_warm_start_smoketest_$test.csv"
python benchmarks/dynamo/check_accuracy.py \
--actual "$TEST_REPORTS_DIR/inductor_warm_start_smoketest_$test.csv" \
--expected "benchmarks/dynamo/ci_expected_accuracy/inductor_huggingface_training.csv"
done
}
test_inductor_torchbench_cpu_smoketest_perf(){
@ -643,12 +593,6 @@ test_inductor_torchbench_cpu_smoketest_perf(){
done
}
test_torchbench_gcp_smoketest(){
pushd "${TORCHBENCHPATH}"
python test.py -v
popd
}
test_python_gloo_with_tls() {
source "$(dirname "${BASH_SOURCE[0]}")/run_glootls_test.sh"
assert_git_not_dirty
@ -1172,33 +1116,11 @@ test_executorch() {
assert_git_not_dirty
}
test_linux_aarch64(){
python test/run_test.py --include test_modules test_mkldnn test_mkldnn_fusion test_openmp test_torch test_dynamic_shapes \
test_transformers test_multiprocessing test_numpy_interop --verbose
# Dynamo tests
python test/run_test.py --include dynamo/test_compile dynamo/test_backends dynamo/test_comptime dynamo/test_config \
dynamo/test_functions dynamo/test_fx_passes_pre_grad dynamo/test_interop dynamo/test_model_output dynamo/test_modules \
dynamo/test_optimizers dynamo/test_recompile_ux dynamo/test_recompiles --verbose
# Inductor tests
python test/run_test.py --include inductor/test_torchinductor inductor/test_benchmark_fusion inductor/test_codecache \
inductor/test_config inductor/test_control_flow inductor/test_coordinate_descent_tuner inductor/test_fx_fusion \
inductor/test_group_batch_fusion inductor/test_inductor_freezing inductor/test_inductor_utils \
inductor/test_inplacing_pass inductor/test_kernel_benchmark inductor/test_layout_optim \
inductor/test_max_autotune inductor/test_memory_planning inductor/test_metrics inductor/test_multi_kernel inductor/test_pad_mm \
inductor/test_pattern_matcher inductor/test_perf inductor/test_profiler inductor/test_select_algorithm inductor/test_smoke \
inductor/test_split_cat_fx_passes inductor/test_standalone_compile inductor/test_torchinductor \
inductor/test_torchinductor_codegen_dynamic_shapes inductor/test_torchinductor_dynamic_shapes --verbose
}
if ! [[ "${BUILD_ENVIRONMENT}" == *libtorch* || "${BUILD_ENVIRONMENT}" == *-bazel-* ]]; then
(cd test && python -c "import torch; print(torch.__config__.show())")
(cd test && python -c "import torch; print(torch.__config__.parallel_info())")
fi
if [[ "$BUILD_ENVIRONMENT" == *aarch64* ]]; then
test_linux_aarch64
elif [[ "${TEST_CONFIG}" == *backward* ]]; then
if [[ "${TEST_CONFIG}" == *backward* ]]; then
test_forward_backward_compatibility
# Do NOT add tests after bc check tests, see its comment.
elif [[ "${TEST_CONFIG}" == *xla* ]]; then
@ -1223,8 +1145,6 @@ elif [[ "$TEST_CONFIG" == deploy ]]; then
test_torch_deploy
elif [[ "${TEST_CONFIG}" == *inductor_distributed* ]]; then
test_inductor_distributed
elif [[ "${TEST_CONFIG}" == *inductor-micro-benchmark* ]]; then
test_inductor_micro_benchmark
elif [[ "${TEST_CONFIG}" == *huggingface* ]]; then
install_torchvision
id=$((SHARD_NUMBER-1))
@ -1252,9 +1172,6 @@ elif [[ "${TEST_CONFIG}" == *torchbench* ]]; then
llama_v2_7b_16h resnet50 timm_efficientnet mobilenet_v3_large timm_resnest \
shufflenet_v2_x1_0 hf_GPT2
PYTHONPATH=$(pwd)/torchbench test_inductor_torchbench_cpu_smoketest_perf
elif [[ "${TEST_CONFIG}" == *torchbench_gcp_smoketest* ]]; then
checkout_install_torchbench
TORCHBENCHPATH=$(pwd)/torchbench test_torchbench_gcp_smoketest
else
checkout_install_torchbench
# Do this after checkout_install_torchbench to ensure we clobber any
@ -1278,10 +1195,6 @@ elif [[ "${TEST_CONFIG}" == *dynamo* && "${SHARD_NUMBER}" == 1 && $NUM_TEST_SHAR
elif [[ "${TEST_CONFIG}" == *dynamo* && $SHARD_NUMBER -gt 1 && $NUM_TEST_SHARDS -gt 1 ]]; then
install_torchvision
test_dynamo_shard "${SHARD_NUMBER}"
elif [[ "${BUILD_ENVIRONMENT}" == *rocm* && -n "$TESTS_TO_INCLUDE" ]]; then
install_torchvision
test_python_shard "$SHARD_NUMBER"
test_aten
elif [[ "${SHARD_NUMBER}" == 1 && $NUM_TEST_SHARDS -gt 1 ]]; then
test_without_numpy
install_torchvision
@ -1311,6 +1224,10 @@ elif [[ "${BUILD_ENVIRONMENT}" == *-mobile-lightweight-dispatch* ]]; then
test_libtorch
elif [[ "${TEST_CONFIG}" = docs_test ]]; then
test_docs_test
elif [[ "${BUILD_ENVIRONMENT}" == *rocm* && -n "$TESTS_TO_INCLUDE" ]]; then
install_torchvision
test_python
test_aten
elif [[ "${BUILD_ENVIRONMENT}" == *xpu* ]]; then
install_torchvision
test_python

View File

@ -17,22 +17,22 @@ set PATH=C:\Program Files\CMake\bin;C:\Program Files\7-Zip;C:\ProgramData\chocol
set INSTALLER_DIR=%SCRIPT_HELPERS_DIR%\installation-helpers
call %INSTALLER_DIR%\install_magma.bat
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
call %INSTALLER_DIR%\install_sccache.bat
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
:: Miniconda has been installed as part of the Windows AMI with all the dependencies.
:: We just need to activate it here
call %INSTALLER_DIR%\activate_miniconda3.bat
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
call pip install mkl-include==2021.4.0 mkl-devel==2021.4.0
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
:: Override VS env here
pushd .
@ -41,8 +41,8 @@ if "%VC_VERSION%" == "" (
) else (
call "C:\Program Files (x86)\Microsoft Visual Studio\%VC_YEAR%\%VC_PRODUCT%\VC\Auxiliary\Build\vcvarsall.bat" x64 -vcvars_ver=%VC_VERSION%
)
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
@echo on
popd
@ -52,12 +52,12 @@ set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v%CUDA_VERSION%
if x%CUDA_VERSION:.=%==x%CUDA_VERSION% (
echo CUDA version %CUDA_VERSION% format isn't correct, which doesn't contain '.'
goto fail
exit /b 1
)
rem version transformer, for example 10.1 to 10_1.
if x%CUDA_VERSION:.=%==x%CUDA_VERSION% (
echo CUDA version %CUDA_VERSION% format isn't correct, which doesn't contain '.'
goto fail
exit /b 1
)
set VERSION_SUFFIX=%CUDA_VERSION:.=_%
set CUDA_PATH_V%VERSION_SUFFIX%=%CUDA_PATH%
@ -101,8 +101,8 @@ if "%USE_CUDA%"=="1" (
:: CMake requires a single command as CUDA_NVCC_EXECUTABLE, so we push the wrappers
:: randomtemp.exe and sccache.exe into a batch file which CMake invokes.
curl -kL https://github.com/peterjc123/randomtemp-rust/releases/download/v0.4/randomtemp.exe --output %TMP_DIR_WIN%\bin\randomtemp.exe
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
echo @"%TMP_DIR_WIN%\bin\randomtemp.exe" "%TMP_DIR_WIN%\bin\sccache.exe" "%CUDA_PATH%\bin\nvcc.exe" %%* > "%TMP_DIR%/bin/nvcc.bat"
cat %TMP_DIR%/bin/nvcc.bat
set CUDA_NVCC_EXECUTABLE=%TMP_DIR%/bin/nvcc.bat
@ -114,8 +114,8 @@ if "%USE_CUDA%"=="1" (
set
python setup.py bdist_wheel
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
if errorlevel 1 exit /b
if not errorlevel 0 exit /b
sccache --show-stats
python -c "import os, glob; os.system('python -mpip install --no-index --no-deps ' + glob.glob('dist/*.whl')[0])"
(
@ -135,8 +135,3 @@ python -c "import os, glob; os.system('python -mpip install --no-index --no-deps
sccache --show-stats --stats-format json | jq .stats > sccache-stats-%BUILD_ENVIRONMENT%-%OUR_GITHUB_JOB_ID%.json
sccache --stop-server
exit /b 0
:fail
exit /b 1

View File

@ -96,13 +96,8 @@ if [[ "$PACKAGE_TYPE" == conda ]]; then
conda install \${EXTRA_CONDA_FLAGS} -y "\$pkg" --offline
)
elif [[ "$PACKAGE_TYPE" != libtorch ]]; then
if [[ "\$BUILD_ENVIRONMENT" != *s390x* ]]; then
pip install "\$pkg" --index-url "https://download.pytorch.org/whl/\${CHANNEL}/${DESIRED_CUDA}"
retry pip install -q numpy protobuf typing-extensions
else
pip install "\$pkg"
retry pip install -q numpy protobuf typing-extensions
fi
pip install "\$pkg" --index-url "https://download.pytorch.org/whl/\${CHANNEL}/${DESIRED_CUDA}"
retry pip install -q numpy protobuf typing-extensions
fi
if [[ "$PACKAGE_TYPE" == libtorch ]]; then
pkg="\$(ls /final_pkgs/*-latest.zip)"

View File

@ -36,7 +36,6 @@ hicpp-exception-baseclass,
hicpp-avoid-goto,
misc-*,
-misc-const-correctness,
-misc-include-cleaner,
-misc-use-anonymous-namespace,
-misc-unused-parameters,
-misc-no-recursion,
@ -61,5 +60,6 @@ readability-simplify-subscript-expr,
readability-string-compare,
'
HeaderFilterRegex: '^(aten/|c10/|torch/).*$'
AnalyzeTemporaryDtors: false
WarningsAsErrors: '*'
...

View File

@ -54,7 +54,6 @@ per-file-ignores =
torch/ao/quantization/fx/_decomposed.py: TOR901
torch/distributed/_functional_collectives.py: TOR901
torch/distributed/_spmd/data_parallel.py: TOR901
torch/distributed/_tensor/_collective_utils.py: TOR901
optional-ascii-coding = True
exclude =
./.git,

1
.gitattributes vendored
View File

@ -4,4 +4,3 @@
.github/generated-* linguist-generated=true
.github/scripts/gql_mocks.json linguist-generated=true
third_party/LICENSES_BUNDLED.txt linguist-generated=true
tools/build/bazel/requirements.txt linguist-generated=true

View File

@ -8,18 +8,7 @@ body:
value: >
#### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the
existing and past issues](https://github.com/pytorch/pytorch/issues)
It's likely that your bug will be resolved by checking our FAQ or troubleshooting guide [documentation](https://pytorch.org/docs/main/dynamo/index.html)
Note: if you're submitting an issue that you generated from a fuzzer. Please do the following:
- Ensure rtol/atol are at default tolerances
- Dont compare indices of max/min etc, because that avoids the above requirement
- If comparing eager and torch.compile at fp16/bf16, you should use fp32 as baseline
If the above requirements are met, add the label "topic: fuzzer" to your issue.
It's likely that your bug will be resolved by checking our FAQ or troubleshooting guide [documentation](https://pytorch.org/docs/master/dynamo/index.html)
- type: textarea
attributes:
label: 🐛 Describe the bug
@ -44,7 +33,7 @@ body:
label: Minified repro
description: |
Please run the minifier on your example and paste the minified code below
Learn more here https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
Learn more here https://pytorch.org/docs/master/compile/troubleshooting.html
placeholder: |
env TORCHDYNAMO_REPRO_AFTER="aot" python your_model.py
or

View File

@ -13,7 +13,6 @@ self-hosted-runner:
- linux.8xlarge.nvidia.gpu
- linux.16xlarge.nvidia.gpu
- linux.g5.4xlarge.nvidia.gpu
- linux.s390x
- windows.4xlarge.nonephemeral
- windows.8xlarge.nvidia.gpu
- windows.8xlarge.nvidia.gpu.nonephemeral
@ -22,7 +21,6 @@ self-hosted-runner:
- linux.rocm.gpu
- macos-m1-stable
- macos-m1-13
- macos-m1-14
- macos-12-xl
- macos-12
- macos12.3-m1

View File

@ -9,10 +9,6 @@ inputs:
use-gha:
description: If set to any value, use GHA to download the artifact. Otherwise use s3.
required: false
s3-bucket:
description: S3 bucket to download builds
required: false
default: "gha-artifacts"
runs:
using: composite
@ -22,10 +18,9 @@ runs:
uses: seemethere/download-artifact-s3@v4
with:
name: ${{ inputs.name }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Download PyTorch Build Artifacts from GHA
if: ${{ inputs.use-gha }}
if: inputs.use-gha
uses: actions/download-artifact@v3
with:
name: ${{ inputs.name }}
@ -34,10 +29,6 @@ runs:
shell: bash
run: unzip -o artifacts.zip
- name: Remove artifacts.zip
shell: bash
run: rm artifacts.zip
- name: Output disk space left
shell: bash
run: df -H

View File

@ -13,13 +13,6 @@ inputs:
required: true
type: string
description: JSON description of what test configs to run.
selected-test-configs:
required: false
type: string
description: |
A comma-separated list of test configurations from the test matrix to keep,
The empty list means we are going to keep every configurations by defaults
default: ""
job-name:
type: string
required: false
@ -47,9 +40,6 @@ outputs:
ci-no-td:
description: True if ci-no-td label was on PR or [ci-no-td] in PR body.
value: ${{ steps.filter.outputs.ci-no-td }}
ci-td-distributed:
description: True if ci-td-distributed label was on PR or [ci-td-distributed] in PR body.
value: ${{ steps.filter.outputs.ci-td-distributed }}
runs:
using: composite
@ -133,7 +123,6 @@ runs:
--workflow "${GITHUB_WORKFLOW}" \
--job-name "${JOB_NAME}" \
--test-matrix "${{ inputs.test-matrix }}" \
--selected-test-configs "${{ inputs.selected-test-configs }}" \
--pr-number "${PR_NUMBER}" \
--tag "${TAG}" \
--event-name "${EVENT_NAME}" \

View File

@ -1,207 +0,0 @@
name: linux-build
inputs:
build-environment:
required: true
description: Top-level label for what's being built/tested.
docker-image-name:
required: true
description: Name of the base docker image to build with.
build-generates-artifacts:
required: false
default: "true"
description: If set, upload generated build artifacts.
build-with-debug:
required: false
default: "false"
description: If set, build in debug mode.
sync-tag:
required: false
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
cuda-arch-list:
required: false
default: "5.2"
description: Runner label to select worker type
runner:
required: false
default: "linux.2xlarge"
description: |
List of CUDA architectures CI build should target.
test-matrix:
required: false
type: string
description: |
An option JSON description of what test configs to run later on. This
is moved here from the Linux test workflow so that we can apply filter
logic using test-config labels earlier and skip unnecessary builds
s3-bucket:
description: S3 bucket to download artifact
required: false
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
default: ""
GITHUB_TOKEN:
description: GitHub token
required: true
HUGGING_FACE_HUB_TOKEN:
description: Hugging Face Hub token
required: false
default: ""
outputs:
docker-image:
value: ${{ steps.calculate-docker-image.outputs.docker-image }}
description: The docker image containing the built PyTorch.
test-matrix:
value: ${{ steps.filter.outputs.test-matrix }}
description: An optional JSON description of what test configs to run later on.
runs:
using: composite
steps:
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: configure aws credentials
uses: aws-actions/configure-aws-credentials@v3
if: ${{ inputs.aws-role-to-assume != '' }}
with:
role-to-assume: ${{ inputs.aws-role-to-assume }}
role-session-name: gha-linux-build
role-duration-seconds: 10800
aws-region: us-east-1
- 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 }}
- name: Use following to pull public copy of the image
id: print-ghcr-mirror
env:
ECR_DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
shell: bash
run: |
tag=${ECR_DOCKER_IMAGE##*/}
echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
- name: Parse ref
id: parse-ref
shell: bash
run: .github/scripts/parse_ref.py
- name: Get workflow job id
id: get-job-id
uses: ./.github/actions/get-workflow-job-id
if: always()
with:
github-token: ${{ inputs.GITHUB_TOKEN }}
# Apply the filter logic to the build step too if the test-config label is already there
- name: Select all requested test configurations (if the test matrix is available)
id: filter
uses: ./.github/actions/filter-test-configs
with:
github-token: ${{ inputs.GITHUB_TOKEN }}
test-matrix: ${{ inputs.test-matrix }}
job-name: ${{ steps.get-job-id.outputs.job-name }}
- name: Download pytest cache
uses: ./.github/actions/pytest-cache-download
continue-on-error: true
with:
cache_dir: .pytest_cache
job_identifier: ${{ github.workflow }}_${{ inputs.build-environment }}
s3_bucket: ${{ inputs.s3-bucket }}
- name: Build
if: steps.filter.outputs.is-test-matrix-empty == 'False' || inputs.test-matrix == ''
id: build
env:
BUILD_ENVIRONMENT: ${{ inputs.build-environment }}
BRANCH: ${{ steps.parse-ref.outputs.branch }}
# TODO duplicated
AWS_DEFAULT_REGION: us-east-1
PR_NUMBER: ${{ github.event.pull_request.number }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
SCCACHE_S3_KEY_PREFIX: ${{ github.workflow }}
XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
PR_LABELS: ${{ toJson(github.event.pull_request.labels.*.name) }}
TORCH_CUDA_ARCH_LIST: ${{ inputs.cuda-arch-list }}
DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
XLA_CUDA: ${{ contains(inputs.build-environment, 'xla') && '0' || '' }}
DEBUG: ${{ inputs.build-with-debug == 'true' && '1' || '0' }}
OUR_GITHUB_JOB_ID: ${{ steps.get-job-id.outputs.job-id }}
HUGGING_FACE_HUB_TOKEN: ${{ inputs.HUGGING_FACE_HUB_TOKEN }}
shell: bash
run: |
# detached container should get cleaned up by teardown_ec2_linux
container_name=$(docker run \
-e BUILD_ENVIRONMENT \
-e MAX_JOBS="$(nproc --ignore=2)" \
-e AWS_DEFAULT_REGION \
-e PR_NUMBER \
-e SHA1 \
-e BRANCH \
-e SCCACHE_BUCKET \
-e SCCACHE_S3_KEY_PREFIX \
-e XLA_CUDA \
-e XLA_CLANG_CACHE_S3_BUCKET_NAME \
-e SKIP_SCCACHE_INITIALIZATION=1 \
-e TORCH_CUDA_ARCH_LIST \
-e PR_LABELS \
-e OUR_GITHUB_JOB_ID \
-e HUGGING_FACE_HUB_TOKEN \
--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
--security-opt seccomp=unconfined \
--cap-add=SYS_PTRACE \
--tty \
--detach \
--user jenkins \
-v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-w /var/lib/jenkins/workspace \
"${DOCKER_IMAGE}"
)
docker exec -t "${container_name}" sh -c '.ci/pytorch/build.sh'
- name: Archive artifacts into zip
if: inputs.build-generates-artifacts == 'true' && steps.build.outcome != 'skipped'
shell: bash
run: |
zip -1 -r artifacts.zip dist/ build/custom_test_artifacts build/lib build/bin .additional_ci_files
- name: Store PyTorch Build Artifacts on S3
uses: seemethere/upload-artifact-s3@v5
if: inputs.build-generates-artifacts == 'true' && steps.build.outcome != 'skipped'
with:
name: ${{ inputs.build-environment }}
retention-days: 14
if-no-files-found: error
path: artifacts.zip
s3-bucket: ${{ inputs.s3-bucket }}
- name: Upload sccache stats
if: steps.build.outcome != 'skipped'
uses: seemethere/upload-artifact-s3@v5
with:
s3-prefix: |
${{ github.repository }}/${{ github.run_id }}/${{ github.run_attempt }}/artifact
retention-days: 365
if-no-files-found: warn
path: sccache-stats-*.json
s3-bucket: ${{ inputs.s3-bucket }}
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()

View File

@ -1,384 +0,0 @@
name: linux-test
inputs:
build-environment:
required: true
type: string
description: Top-level label for what's being built/tested.
test-matrix:
required: true
type: string
description: JSON description of what test configs to run.
docker-image:
required: true
type: string
description: Docker image to run in.
sync-tag:
required: false
type: string
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
use-gha:
required: false
type: string
default: ""
description: If set to any value, upload to GHA. Otherwise upload to S3.
dashboard-tag:
required: false
type: string
default: ""
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
HUGGING_FACE_HUB_TOKEN:
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
required: false
default: ""
GITHUB_TOKEN:
description: GitHub token
required: true
#env:
# GIT_DEFAULT_BRANCH: ${{ inputs.default_branch }}
runs:
using: composite
steps:
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: configure aws credentials
if : ${{ inputs.aws-role-to-assume != '' }}
uses: aws-actions/configure-aws-credentials@v3
with:
role-to-assume: ${{ inputs.aws-role-to-assume }}
role-session-name: gha-linux-test
aws-region: us-east-1
- 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: Use following to pull public copy of the image
id: print-ghcr-mirror
env:
ECR_DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
shell: bash
run: |
tag=${ECR_DOCKER_IMAGE##*/}
echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
- name: Check if in a ARC runner
shell: bash
id: check_arc_runner
run: echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT"
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
id: install-nvidia-driver
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
if: ${{ contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu') && steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'false' }}
- name: Lock NVIDIA A100 40GB Frequency
shell: bash
run: |
sudo nvidia-smi -pm 1
sudo nvidia-smi -ac 1215,1410
nvidia-smi
if: contains(matrix.runner, 'a100')
- name: Start monitoring script
id: monitor-script
shell: bash
continue-on-error: true
run: |
python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84
python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
- name: Download build artifacts
uses: ./.github/actions/download-build-artifacts
with:
name: ${{ inputs.build-environment }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Download TD artifacts
continue-on-error: true
uses: ./.github/actions/download-td-artifacts
- name: Parse ref
id: parse-ref
shell: bash
run: .github/scripts/parse_ref.py
- name: Get workflow job id
id: get-job-id
uses: ./.github/actions/get-workflow-job-id
if: always()
with:
github-token: ${{ inputs.GITHUB_TOKEN }}
- name: Check for keep-going label and re-enabled test issues
# This uses the filter-test-configs action because it conviniently
# checks for labels and re-enabled test issues. It does not actually do
# any filtering. All filtering is done in the build step.
id: keep-going
uses: ./.github/actions/filter-test-configs
with:
github-token: ${{ inputs.GITHUB_TOKEN }}
test-matrix: ${{ inputs.test-matrix }}
job-name: ${{ steps.get-job-id.outputs.job-name }}
- name: Test
id: test
env:
BUILD_ENVIRONMENT: ${{ inputs.build-environment }}
PR_NUMBER: ${{ github.event.pull_request.number }}
GITHUB_REPOSITORY: ${{ github.repository }}
GITHUB_WORKFLOW: ${{ github.workflow }}
GITHUB_JOB: ${{ github.job }}
GITHUB_RUN_ID: ${{ github.run_id }}
GITHUB_RUN_NUMBER: ${{ github.run_number }}
GITHUB_RUN_ATTEMPT: ${{ github.run_attempt }}
JOB_ID: ${{ steps.get-job-id.outputs.job-id }}
JOB_NAME: ${{ steps.get-job-id.outputs.job-name }}
BRANCH: ${{ steps.parse-ref.outputs.branch }}
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
BASE_SHA: ${{ github.event.pull_request.base.sha || github.sha }}
TEST_CONFIG: ${{ matrix.config }}
SHARD_NUMBER: ${{ matrix.shard }}
NUM_TEST_SHARDS: ${{ matrix.num_shards }}
REENABLED_ISSUES: ${{ steps.keep-going.outputs.reenabled-issues }}
CONTINUE_THROUGH_ERROR: ${{ steps.keep-going.outputs.keep-going }}
VERBOSE_TEST_LOGS: ${{ steps.keep-going.outputs.ci-verbose-test-logs }}
NO_TEST_TIMEOUT: ${{ steps.keep-going.outputs.ci-no-test-timeout }}
NO_TD: ${{ steps.keep-going.outputs.ci-no-td }}
TD_DISTRIBUTED: ${{ steps.keep-going.outputs.ci-td-distributed }}
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
SCCACHE_S3_KEY_PREFIX: ${{ github.workflow }}
SHM_SIZE: ${{ contains(inputs.build-environment, 'cuda') && '2g' || '1g' }}
DOCKER_IMAGE: ${{ inputs.docker-image }}
XLA_CUDA: ${{ contains(inputs.build-environment, 'xla') && '0' || '' }}
XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: ${{ matrix.mem_leak_check && '1' || '0' }}
PYTORCH_TEST_RERUN_DISABLED_TESTS: ${{ matrix.rerun_disabled_tests && '1' || '0' }}
DASHBOARD_TAG: ${{ inputs.dashboard-tag }}
HUGGING_FACE_HUB_TOKEN: ${{ inputs.HUGGING_FACE_HUB_TOKEN }}
shell: bash
run: |
set -x
if [[ $TEST_CONFIG == 'multigpu' ]]; then
TEST_COMMAND=.ci/pytorch/multigpu-test.sh
elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
TEST_COMMAND=.ci/onnx/test.sh
else
TEST_COMMAND=.ci/pytorch/test.sh
fi
# detached container should get cleaned up by teardown_ec2_linux
# TODO: Stop building test binaries as part of the build phase
# Used for GPU_FLAG since that doesn't play nice
# shellcheck disable=SC2086,SC2090
container_name=$(docker run \
${GPU_FLAG:-} \
-e BUILD_ENVIRONMENT \
-e PR_NUMBER \
-e GITHUB_ACTIONS \
-e GITHUB_REPOSITORY \
-e GITHUB_WORKFLOW \
-e GITHUB_JOB \
-e GITHUB_RUN_ID \
-e GITHUB_RUN_NUMBER \
-e GITHUB_RUN_ATTEMPT \
-e JOB_ID \
-e JOB_NAME \
-e BASE_SHA \
-e BRANCH \
-e SHA1 \
-e AWS_DEFAULT_REGION \
-e IN_WHEEL_TEST \
-e SHARD_NUMBER \
-e TEST_CONFIG \
-e NUM_TEST_SHARDS \
-e REENABLED_ISSUES \
-e CONTINUE_THROUGH_ERROR \
-e VERBOSE_TEST_LOGS \
-e NO_TEST_TIMEOUT \
-e NO_TD \
-e TD_DISTRIBUTED \
-e PR_LABELS \
-e MAX_JOBS="$(nproc --ignore=2)" \
-e SCCACHE_BUCKET \
-e SCCACHE_S3_KEY_PREFIX \
-e XLA_CUDA \
-e XLA_CLANG_CACHE_S3_BUCKET_NAME \
-e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
-e PYTORCH_TEST_RERUN_DISABLED_TESTS \
-e SKIP_SCCACHE_INITIALIZATION=1 \
-e HUGGING_FACE_HUB_TOKEN \
-e DASHBOARD_TAG \
--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
--security-opt seccomp=unconfined \
--cap-add=SYS_PTRACE \
--ipc=host \
--shm-size="${SHM_SIZE}" \
--tty \
--detach \
--name="${container_name}" \
--user jenkins \
-v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-w /var/lib/jenkins/workspace \
"${DOCKER_IMAGE}"
)
# Propagate download.pytorch.org IP to container
grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
- name: Upload pytest cache if tests failed
uses: ./.github/actions/pytest-cache-upload
continue-on-error: true
if: failure() && steps.test.conclusion && steps.test.conclusion == 'failure'
with:
cache_dir: .pytest_cache
shard: ${{ matrix.shard }}
sha: ${{ github.event.pull_request.head.sha || github.sha }}
test_config: ${{ matrix.config }}
job_identifier: ${{ github.workflow }}_${{ inputs.build-environment }}
- name: Print remaining test logs
shell: bash
if: always() && steps.test.conclusion
run: |
cat test/**/*_toprint.log || true
- name: Stop monitoring script
if: always() && steps.monitor-script.outputs.monitor-script-pid
shell: bash
continue-on-error: true
env:
MONITOR_SCRIPT_PID: ${{ steps.monitor-script.outputs.monitor-script-pid }}
run: |
kill "$MONITOR_SCRIPT_PID"
- name: Upload test artifacts
uses: ./.github/actions/upload-test-artifacts
if: always() && steps.test.conclusion && steps.test.conclusion != 'skipped'
with:
file-suffix: ${{ github.job }}-${{ matrix.config }}-${{ matrix.shard }}-${{ matrix.num_shards }}-${{ matrix.runner }}_${{ steps.get-job-id.outputs.job-id }}
use-gha: ${{ inputs.use-gha }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Collect backtraces from coredumps (if any)
if: always()
shell: bash
run: |
# shellcheck disable=SC2156
find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
- name: Store Core dumps on S3
uses: seemethere/upload-artifact-s3@v5
if: failure()
with:
name: coredumps-${{ matrix.config }}-${{ matrix.shard }}-${{ matrix.num_shards }}-${{ matrix.runner }}
retention-days: 14
if-no-files-found: ignore
path: ./**/core.[1-9]*
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
# NB: We are currently having an intermittent GPU-related issue on G5 runners with
# A10G GPU. Once this happens, trying to reset the GPU as done in setup-nvidia does
# not seem to help. Here are some symptoms:
# * Calling nvidia-smi timeouts after 60 second
# * Fail to run nvidia-smi with an unable to determine the device handle for GPU
# unknown error
# * Test fails with a missing CUDA GPU error when initializing CUDA in PyTorch
# * Run docker --gpus all fails with error response from daemon
#
# As both the root cause and recovery path are unclear, let's take the runner out of
# service so that it doesn't get any more jobs
- name: Check NVIDIA driver installation step
if: failure() && steps.install-nvidia-driver.outcome && steps.install-nvidia-driver.outcome != 'skipped'
shell: bash
env:
RUNNER_WORKSPACE: ${{ runner.workspace }}
run: |
set +e
set -x
nvidia-smi
# NB: Surprisingly, nvidia-smi command returns successfully with return code 0 even in
# the case where the driver has already crashed as it still can get the driver version
# and some basic information like the bus ID. However, the rest of the information
# would be missing (ERR!), for example:
#
# +-----------------------------------------------------------------------------+
# | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 |
# |-------------------------------+----------------------+----------------------+
# | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
# | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
# | | | MIG M. |
# |===============================+======================+======================|
# | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! |
# |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default |
# | | | ERR! |
# +-------------------------------+----------------------+----------------------+
#
# +-----------------------------------------------------------------------------+
# | Processes: |
# | GPU GI CI PID Type Process name GPU Memory |
# | ID ID Usage |
# |=============================================================================|
# +-----------------------------------------------------------------------------+
#
# This should be reported as a failure instead as it will guarantee to fail when
# Docker tries to run with --gpus all
#
# So, the correct check here is to query one of the missing piece of info like
# GPU name, so that the command can fail accordingly
nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
NVIDIA_SMI_STATUS=$?
# These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
echo "NVIDIA driver installation has failed, shutting down the runner..."
.github/scripts/stop_runner_service.sh
fi
# For runner with multiple GPUs, we also want to confirm that the number of GPUs are the
# power of 2, i.e. 1, 2, 4, or 8. This is to avoid flaky test issue when one GPU fails
# https://github.com/pytorch/test-infra/issues/4000
GPU_COUNT=$(nvidia-smi --list-gpus | wc -l)
NVIDIA_SMI_STATUS=$?
# These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
echo "NVIDIA driver installation has failed, shutting down the runner..."
.github/scripts/stop_runner_service.sh
fi
# Check the GPU count to be a power of 2
if [ "$GPU_COUNT" -le 8 ] && [ "$GPU_COUNT" -ne 1 ] && [ "$GPU_COUNT" -ne 2 ] && [ "$GPU_COUNT" -ne 4 ] && [ "$GPU_COUNT" -ne 8 ]; then
echo "NVIDIA driver detects $GPU_COUNT GPUs. The runner has a broken GPU, shutting it down..."
.github/scripts/stop_runner_service.sh
fi

View File

@ -9,10 +9,6 @@ inputs:
job_identifier:
description: Text that uniquely identifies a given job type within a workflow. All shards of a job should share the same job identifier.
required: true
s3_bucket:
description: S3 bucket to download PyTest cache
required: false
default: "gha-artifacts"
runs:
using: composite
@ -34,7 +30,6 @@ runs:
CACHE_DIR: ${{ inputs.cache_dir }}
JOB_IDENTIFIER: ${{ inputs.job_identifier }}
REPO: ${{ github.repository }}
BUCKET: ${{ inputs.s3_bucket }}
run: |
python3 .github/scripts/pytest_cache.py \
--download \
@ -43,4 +38,3 @@ runs:
--job_identifier $JOB_IDENTIFIER \
--temp_dir $RUNNER_TEMP \
--repo $REPO \
--bucket $BUCKET \

View File

@ -15,12 +15,10 @@ runs:
category=$1
# If it is GCP runner (runner name contains gcp), do not run this
runner_name_str=${{ runner.name }}
if [[ -f /.inarc ]]; then
echo "ARC Runner, no info on ec2 metadata"
elif [[ $runner_name_str == *"gcp"* ]]; then
echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
else
if [[ $runner_name_str != *"gcp"* ]]; then
curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
else
echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
fi
}
echo "ami-id: $(get_ec2_metadata ami-id)"
@ -28,14 +26,8 @@ runs:
echo "instance-type: $(get_ec2_metadata instance-type)"
echo "system info $(uname -a)"
- name: Check if in a ARC runner
shell: bash
id: check_arc_runner
run: echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT
- name: Start docker if docker deamon is not running
shell: bash
if: ${{ steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'false' }}
run: |
if systemctl is-active --quiet docker; then
echo "Docker daemon is running...";
@ -66,7 +58,6 @@ runs:
env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
- name: Kill any existing containers, clean up images
if: ${{ steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'false' }}
shell: bash
run: |
# ignore expansion of "docker ps -q" since it could be empty
@ -105,28 +96,3 @@ runs:
echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
cat /etc/hosts
- name: Check that the docker daemon is running
shell: bash
continue-on-error: true
if: ${{ steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'true' }}
run: |
set +x
max_attempts=30
delay=10
attempt=1
for attempt in $(seq 1 $max_attempts); do
echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..."
if docker info > /dev/null 2>&1; then
echo "Docker is running. Proceeding with the next steps"
exit 0
else
echo "Docker is not running yet."
echo "Retrying in $delay seconds..."
sleep $delay
fi
done
echo "Reached maximum attempts to connect to Docker. Exiting."
exit 1

View File

@ -35,7 +35,7 @@ runs:
"${DOCKER_IMAGE}"
)
if [[ "${GPU_ARCH_TYPE}" != "rocm" && "${BUILD_ENVIRONMENT}" != "linux-aarch64-binary-manywheel" && "${BUILD_ENVIRONMENT}" != "linux-s390x-binary-manywheel" ]]; then
if [[ "${GPU_ARCH_TYPE}" != "rocm" && "${BUILD_ENVIRONMENT}" != "linux-aarch64-binary-manywheel" ]]; then
# Propagate download.pytorch.org IP to container. This is only needed on Linux non aarch64 runner
grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" bash -c "/bin/cat >> /etc/hosts"
fi
@ -44,12 +44,3 @@ runs:
# Generate test script
docker exec -t -w "${PYTORCH_ROOT}" -e OUTPUT_SCRIPT="/run.sh" "${container_name}" bash -c "bash .circleci/scripts/binary_linux_test.sh"
docker exec -t "${container_name}" bash -c "source ${BINARY_ENV_FILE} && bash -x /run.sh"
- name: Cleanup docker
if: always() && env.BUILD_ENVIRONMENT == 'linux-s390x-binary-manywheel'
shell: bash
run: |
# on s390x stop the container for clean worker stop
# ignore expansion of "docker ps -q" since it could be empty
# shellcheck disable=SC2046
docker stop $(docker ps -q) || true

View File

@ -11,10 +11,6 @@ inputs:
Suffix to add to the filename of the artifacts. This should include the
workflow job id, see [Job id in artifacts].
required: true
s3-bucket:
description: S3 bucket to download builds
required: false
default: "gha-artifacts"
runs:
using: composite
@ -46,7 +42,7 @@ runs:
env:
FILE_SUFFIX: ${{ inputs.file-suffix }}
run: |
# Remove any previous usage logs if they exist
# Remove any previous test reports if they exist
rm -f logs-*.zip
# this workflow is also run in bazel build test, but we dont generate usage reports for it
# so check to see if the file exists first
@ -57,18 +53,6 @@ runs:
zip -r "logs-${FILE_SUFFIX}.zip" test -i '*.log'
fi
- name: Zip debugging artifacts for upload
if: runner.os != 'Windows' && !inputs.use-gha
shell: bash
env:
FILE_SUFFIX: ${{ inputs.file-suffix }}
run: |
# Remove any previous debugging artifacts if they exist
rm -f debug-*.zip
if [ -d 'test/debug' ]; then
zip -r "debug-${FILE_SUFFIX}.zip" test/debug
fi
# Windows zip
- name: Zip JSONs for upload
if: runner.os == 'Windows' && !inputs.use-gha
@ -103,7 +87,6 @@ runs:
uses: seemethere/upload-artifact-s3@v5
if: ${{ !inputs.use-gha }}
with:
s3-bucket: ${{ inputs.s3-bucket }}
s3-prefix: |
${{ github.repository }}/${{ github.run_id }}/${{ github.run_attempt }}/artifact
retention-days: 14
@ -114,7 +97,6 @@ runs:
uses: seemethere/upload-artifact-s3@v5
if: ${{ !inputs.use-gha }}
with:
s3-bucket: ${{ inputs.s3-bucket }}
s3-prefix: |
${{ github.repository }}/${{ github.run_id }}/${{ github.run_attempt }}/artifact
retention-days: 14
@ -126,25 +108,12 @@ runs:
if: ${{ !inputs.use-gha }}
continue-on-error: true
with:
s3-bucket: ${{ inputs.s3-bucket }}
s3-prefix: |
${{ github.repository }}/${{ github.run_id }}/${{ github.run_attempt }}/artifact
retention-days: 14
if-no-files-found: ignore
path: logs-*.zip
- name: Store Debug Artifacts on S3
uses: seemethere/upload-artifact-s3@v5
if: ${{ !inputs.use-gha }}
continue-on-error: true
with:
s3-bucket: ${{ inputs.s3-bucket }}
s3-prefix: |
${{ github.repository }}/${{ github.run_id }}/${{ github.run_attempt }}/artifact
retention-days: 14
if-no-files-found: ignore
path: debug-*.zip
# GHA upload
- name: Store Test Downloaded JSONs on Github
uses: actions/upload-artifact@v3

View File

@ -1 +1 @@
1980f8af5bcd0bb2ce51965cf79d8d4c25dad8a0
87aeb554d3e2f7855b7abe5120c282f59648ed7a

View File

@ -1 +1 @@
d23a6e1664d20707c11781299611436e1f0c104f
2c127da8b5e2e8f44b50994c6cb931bcca267cfe

View File

@ -1 +1 @@
6f0b61e5d782913a0fc7743812f2a8e522189111
r2.3

View File

@ -1,13 +0,0 @@
# Use this to auto apply labels based on other labels. Applies to both PRs and
# issues. Currently only supports any and all
- any:
- "module: custom operators"
- "module: aotdispatch"
then:
- "module: pt2-dispatcher"
- any:
- "module: dynamo"
- "module: pt2-dispatcher"
- "module: inductor"
then:
- "oncall: pt2"

14
.github/labeler.yml vendored
View File

@ -35,9 +35,6 @@
- test/distributed/tensor/parallel/test_fsdp_2d_parallel.py
- torch/distributed/_tensor/**
- torch/distributed/fsdp/**
- torch/csrc/inductor/**
- test/cpp/aoti_abi_check/**
- test/cpp/aoti_inference/**
"module: cpu":
- aten/src/ATen/cpu/**
@ -58,17 +55,6 @@
- third_party/mkl-dnn.BUILD
- torch/csrc/jit/codegen/onednn/**
- test/test_jit_llga_fuser.py
- test/test_mkldnn.py
"ciflow/linux-aarch64":
- third_party/ideep
- caffe2/ideep/**
- caffe2/python/ideep/**
- cmake/Modules/FindMKLDNN.cmake
- third_party/mkl-dnn.BUILD
- torch/csrc/jit/codegen/onednn/**
- test/test_jit_llga_fuser.py
- test/test_mkldnn.py
"module: amp (automated mixed precision)":
- torch/amp/**

View File

@ -28,13 +28,12 @@
- caffe2/python/onnx/**
approved_by:
- BowenBao
- abock
- justinchuby
- liqunfu
- shubhambhokare1
- thiagocrepaldi
- titaiwangms
- wschin
- xadupre
mandatory_checks_name:
- EasyCLA
- Lint
@ -237,23 +236,6 @@
- Lint
- pull
- name: XPU ATen
patterns:
- aten/src/ATen/xpu/**
- c10/xpu/**
- torch/csrc/xpu/**
- torch/xpu/**
- test/xpu/**
- third_party/xpu.txt
approved_by:
- EikanWang
- jgong5
- gujinghui
mandatory_checks_name:
- EasyCLA
- Lint
- pull
- name: Distributions
patterns:
- torch/distributions/**
@ -375,14 +357,12 @@
- name: CPU inductor
patterns:
- torch/_inductor/mkldnn_lowerings.py
- torch/_inductor/fx_passes/mkldnn_fusion.py
- torch/_inductor/fx_passes/quantization.py
- torch/_inductor/codegen/cpp.py
- test/inductor/test_mkldnn_pattern_matcher.py
- test/inductor/test_cpu_repo.py
- test/inductor/test_cpu_cpp_wrapper.py
- aten/src/ATen/cpu/**
- aten/src/ATen/native/quantized/cpu/**
- test/quantization/core/test_quantized_op.py
- torch/ao/quantization/quantizer/x86_inductor_quantizer.py

View File

@ -7,8 +7,6 @@ ciflow_push_tags:
- ciflow/binaries_wheel
- ciflow/inductor
- ciflow/inductor-perf-compare
- ciflow/inductor-micro-benchmark
- ciflow/linux-aarch64
- ciflow/mps
- ciflow/nightly
- ciflow/periodic
@ -17,12 +15,9 @@ ciflow_push_tags:
- ciflow/trunk
- ciflow/unstable
- ciflow/xpu
- ciflow/torchbench
retryable_workflows:
- lint
- pull
- trunk
- linux-binary
- windows-binary
labeler_config: labeler.yml
label_to_label_config: label_to_label.yml

View File

@ -5,7 +5,7 @@
# functorch/docs/requirements.txt
# .ci/docker/requirements-ci.txt
boto3==1.19.12
jinja2==3.1.4
jinja2==3.0.1
lintrunner==0.10.7
ninja==1.10.0.post1
nvidia-ml-py==11.525.84

View File

@ -1,4 +1,4 @@
# iOS simulator requirements
coremltools==5.0b5
protobuf==3.20.2
optree==0.11.0
optree==0.9.1

View File

@ -26,7 +26,4 @@ pytest-cpp==2.3.0
rockset==1.0.3
z3-solver==4.12.2.0
tensorboard==2.13.0
optree==0.11.0
# NB: test_hparams_* from test_tensorboard is failing with protobuf 5.26.0 in
# which the stringify metadata is wrong when escaping double quote
protobuf==3.20.2
optree==0.9.1

View File

@ -1,99 +0,0 @@
set -ex
# Set ROCM_HOME isn't available, use ROCM_PATH if set or /opt/rocm
ROCM_HOME="${ROCM_HOME:-${ROCM_PATH:-/opt/rocm}}"
# Find rocm_version.h header file for ROCm version extract
rocm_version_h="${ROCM_HOME}/include/rocm-core/rocm_version.h"
if [ ! -f "$rocm_version_h" ]; then
rocm_version_h="${ROCM_HOME}/include/rocm_version.h"
fi
# Error out if rocm_version.h not found
if [ ! -f "$rocm_version_h" ]; then
echo "Error: rocm_version.h not found in expected locations." >&2
exit 1
fi
# Extract major, minor and patch ROCm version numbers
MAJOR_VERSION=$(grep 'ROCM_VERSION_MAJOR' "$rocm_version_h" | awk '{print $3}')
MINOR_VERSION=$(grep 'ROCM_VERSION_MINOR' "$rocm_version_h" | awk '{print $3}')
PATCH_VERSION=$(grep 'ROCM_VERSION_PATCH' "$rocm_version_h" | awk '{print $3}')
ROCM_INT=$(($MAJOR_VERSION * 10000 + $MINOR_VERSION * 100 + $PATCH_VERSION))
echo "ROCm version: $ROCM_INT"
# Check TRITON_ROCM_DIR is set
if [[ -z "${TRITON_ROCM_DIR}" ]]; then
export TRITON_ROCM_DIR=third_party/amd/backend
fi
# Remove packaged libs and headers
rm -rf $TRITON_ROCM_DIR/include/*
LIBTINFO_PATH="/usr/lib64/libtinfo.so.5"
LIBNUMA_PATH="/usr/lib64/libnuma.so.1"
LIBELF_PATH="/usr/lib64/libelf.so.1"
OS_SO_PATHS=(
$LIBELF_PATH
$LIBNUMA_PATH
$LIBTINFO_PATH
)
for lib in "${OS_SO_PATHS[@]}"
do
cp $lib $TRITON_ROCM_DIR/lib/
done
# Required ROCm libraries
if [[ "${MAJOR_VERSION}" == "6" ]]; then
libamdhip="libamdhip64.so.6"
else
libamdhip="libamdhip64.so.5"
fi
# Required ROCm libraries - ROCm 6.0
ROCM_SO=(
"${libamdhip}"
"libhsa-runtime64.so.1"
"libamd_comgr.so.2"
"libdrm.so.2"
"libdrm_amdgpu.so.1"
)
if [[ $ROCM_INT -ge 60100 ]]; then
ROCM_SO+=("librocprofiler-register.so.0")
fi
for lib in "${ROCM_SO[@]}"
do
file_path=($(find $ROCM_HOME/lib/ -name "$lib")) # First search in lib
if [[ -z $file_path ]]; then
if [ -d "$ROCM_HOME/lib64/" ]; then
file_path=($(find $ROCM_HOME/lib64/ -name "$lib")) # Then search in lib64
fi
fi
if [[ -z $file_path ]]; then
file_path=($(find $ROCM_HOME/ -name "$lib")) # Then search in ROCM_HOME
fi
if [[ -z $file_path ]]; then
file_path=($(find /opt/ -name "$lib")) # Then search in /opt
fi
if [[ -z $file_path ]]; then
echo "Error: Library file $lib is not found." >&2
exit 1
fi
cp $file_path $TRITON_ROCM_DIR/lib
# When running locally, and not building a wheel, we need to satisfy shared objects requests that don't look for versions
LINKNAME=$(echo $lib | sed -e 's/\.so.*/.so/g')
ln -sf $lib $TRITON_ROCM_DIR/lib/$LINKNAME
done
# Copy Include Files
cp -r $ROCM_HOME/include/hip $TRITON_ROCM_DIR/include
# Copy linker
mkdir -p $TRITON_ROCM_DIR/llvm/bin
cp $ROCM_HOME/llvm/bin/ld.lld $TRITON_ROCM_DIR/llvm/bin/

View File

@ -1,103 +0,0 @@
#!/bin/bash
set -x
if [ -z "$1" ]; then
echo "Need wheel location argument" && exit 1
fi
WHEELHOUSE_DIR=$1
PATCHELF_BIN=patchelf
ROCM_LIB=backends/amd/lib
ROCM_LD=backends/amd/llvm/bin
PREFIX=triton
fname_without_so_number() {
LINKNAME=$(echo $1 | sed -e 's/\.so.*/.so/g')
echo "$LINKNAME"
}
replace_needed_sofiles() {
find $1 -name '*.so*' -o -name 'ld.lld' | while read sofile; do
origname=$2
patchedname=$3
if [[ "$origname" != "$patchedname" ]]; then
set +e
origname=$($PATCHELF_BIN --print-needed $sofile | grep "$origname.*")
ERRCODE=$?
set -e
if [ "$ERRCODE" -eq "0" ]; then
echo "patching $sofile entry $origname to $patchedname"
$PATCHELF_BIN --replace-needed $origname $patchedname $sofile
fi
fi
done
}
mkdir -p "/tmp_dir"
pushd /tmp_dir
for pkg in /$WHEELHOUSE_DIR/*triton*.whl; do
echo "Modifying $pkg"
rm -rf tmp
mkdir -p tmp
cd tmp
cp $pkg .
unzip -q $(basename $pkg)
rm -f $(basename $pkg)
$PATCHELF_BIN --set-rpath ${LD_SO_RPATH:-'$ORIGIN:$ORIGIN/../../lib'} $PREFIX/$ROCM_LD/ld.lld
$PATCHELF_BIN --print-rpath $PREFIX/$ROCM_LD/ld.lld
# Modify libtriton.so as it sits in _C directory apart from its dependencies
find $PREFIX/_C -type f -name "*.so*" | while read sofile; do
echo "Setting rpath of $sofile"
$PATCHELF_BIN --set-rpath ${C_SO_RPATH:-'$ORIGIN:$ORIGIN/'../$ROCM_LIB} ${FORCE_RPATH:-} $sofile
$PATCHELF_BIN --print-rpath $sofile
done
# All included dependencies are included in a single lib directory
deps=()
deps_soname=()
while read sofile; do
echo "Setting rpath of $sofile to ${LIB_SO_RPATH:-'$ORIGIN'}"
$PATCHELF_BIN --set-rpath ${LIB_SO_RPATH:-'$ORIGIN'} ${FORCE_RPATH:-} $sofile
$PATCHELF_BIN --print-rpath $sofile
deps+=("$sofile")
deps_soname+=("$(basename $sofile)")
done < <(find $PREFIX/$ROCM_LIB -type f -name "*.so*")
patched=()
for filepath in "${deps[@]}"; do
filename=$(basename $filepath)
destpath=$PREFIX/$ROCM_LIB/$filename
if [[ "$filepath" != "$destpath" ]]; then
cp $filepath $destpath
fi
patchedpath=$(fname_without_so_number $destpath)
patchedname=$(basename $patchedpath)
if [[ "$destpath" != "$patchedpath" ]]; then
mv $destpath $patchedpath
fi
patched+=("$patchedname")
echo "Copied $filepath to $patchedpath"
done
# Go through all required shared objects and see if any of our other objects are dependants. If so, replace so.ver wth so
for ((i=0;i<${#deps[@]};++i)); do
echo "replacing "${deps_soname[i]} ${patched[i]}
replace_needed_sofiles $PREFIX/$ROCM_LIB ${deps_soname[i]} ${patched[i]}
replace_needed_sofiles $PREFIX/_C ${deps_soname[i]} ${patched[i]}
replace_needed_sofiles $PREFIX/$ROCM_LD ${deps_soname[i]} ${patched[i]}
done
# Re-bundle whl with so adjustments
zip -rqy $(basename $pkg) *
if [[ -z "${MANYLINUX_VERSION}" ]]; then
newpkg=$pkg
else
newpkg=$(echo $pkg | sed -e "s/\linux_x86_64/${MANYLINUX_VERSION}/g")
fi
# Remove original whl
rm -f $pkg
# Move rebuilt whl to original location with new name.
mv $(basename $pkg) $newpkg
done

View File

@ -10,6 +10,9 @@ from typing import Optional
SCRIPT_DIR = Path(__file__).parent
REPO_DIR = SCRIPT_DIR.parent.parent
# TODO: Remove me once Triton version is again in sync for vanilla and ROCm
ROCM_TRITION_VERSION = "2.2.0"
def read_triton_pin(rocm_hash: bool = False) -> str:
triton_file = "triton.txt" if not rocm_hash else "triton-rocm.txt"
@ -29,6 +32,27 @@ def check_and_replace(inp: str, src: str, dst: str) -> str:
return inp.replace(src, dst)
def patch_setup_py(
path: Path,
*,
version: str,
name: str = "triton",
expected_version: Optional[str] = None,
) -> None:
with open(path) as f:
orig = f.read()
# Replace name
orig = check_and_replace(orig, 'name="triton",', f'name="{name}",')
# Replace version
if not expected_version:
expected_version = read_triton_version()
orig = check_and_replace(
orig, f'version="{expected_version}",', f'version="{version}",'
)
with open(path, "w") as f:
f.write(orig)
def patch_init_py(
path: Path, *, version: str, expected_version: Optional[str] = None
) -> None:
@ -68,17 +92,23 @@ def build_triton(
with TemporaryDirectory() as tmpdir:
triton_basedir = Path(tmpdir) / "triton"
triton_pythondir = triton_basedir / "python"
triton_repo = "https://github.com/openai/triton"
if build_rocm:
triton_repo = "https://github.com/ROCmSoftwarePlatform/triton"
triton_pkg_name = "pytorch-triton-rocm"
else:
triton_repo = "https://github.com/openai/triton"
triton_pkg_name = "pytorch-triton"
check_call(["git", "clone", triton_repo], cwd=tmpdir)
if release:
ver, rev, patch = version.split(".")
check_call(
["git", "checkout", f"release/{ver}.{rev}.x"], cwd=triton_basedir
)
if build_rocm:
check_call(
["git", "checkout", f"release/2.2.x"], cwd=triton_basedir
)
else:
check_call(
["git", "checkout", f"release/{ver}.{rev}.x"], cwd=triton_basedir
)
else:
check_call(["git", "checkout", commit_hash], cwd=triton_basedir)
@ -91,7 +121,7 @@ def build_triton(
print("source:\n path: .\n", file=meta)
print(
"build:\n string: py{{py}}\n number: 1\n script: cd python; "
"python setup.py install --record=record.txt\n",
"python setup.py install --single-version-externally-managed --record=record.txt\n",
" script_env:\n - MAX_JOBS\n",
file=meta,
)
@ -137,15 +167,18 @@ def build_triton(
patch_init_py(
triton_pythondir / "triton" / "__init__.py",
version=f"{version}",
expected_version=None,
expected_version=ROCM_TRITION_VERSION if build_rocm else None,
)
if build_rocm:
check_call(
[f"{SCRIPT_DIR}/amd/package_triton_wheel.sh"],
cwd=triton_basedir,
shell=True,
# TODO: Remove me when ROCM triton is updated
patch_setup_py(
triton_pythondir / "setup.py",
name=triton_pkg_name,
version=f"{version}",
expected_version=ROCM_TRITION_VERSION,
)
check_call("scripts/amd/setup_rocm_libs.sh", cwd=triton_basedir, shell=True)
print("ROCm libraries setup for triton installation...")
check_call(
@ -156,10 +189,7 @@ def build_triton(
shutil.copy(whl_path, Path.cwd())
if build_rocm:
check_call(
[f"{SCRIPT_DIR}/amd/patch_triton_wheel.sh", Path.cwd()],
cwd=triton_basedir,
)
check_call("scripts/amd/fix_so.sh", cwd=triton_basedir, shell=True)
return Path.cwd() / whl_path.name

View File

@ -29,7 +29,7 @@ def parse_args() -> Any:
"--onto-branch", type=str, required=True, help="the target release branch"
)
parser.add_argument(
"--github-actor", type=str, required=True, help="all the world's a stage"
"--github-actor", type=str, required=True, help="all the worlds a stage"
)
parser.add_argument(
"--classification",

View File

@ -23,10 +23,8 @@ def main() -> None:
job_link = f"[job]({run_url})" if run_url is not None else "job"
msg = (
f"The {args.action} {job_link} was canceled or timed out. This most often happen if two merge requests were issued"
+ " for the same PR, or if merge job was waiting for more than 6 hours for tests to finish."
+ " In later case, please do not hesitate to reissue the merge command\n"
+ f" For more information see [pytorch-bot wiki]({BOT_COMMANDS_WIKI})."
f"The {args.action} {job_link} was canceled. If you believe this is a mistake,"
+ f" then you can re trigger it through [pytorch-bot]({BOT_COMMANDS_WIKI})."
)
gh_post_pr_comment(org, project, args.pr_num, msg)

View File

@ -18,7 +18,7 @@ ESTIMATED_TOKENS = [0]
TOKEN = os.environ["GITHUB_TOKEN"]
if not TOKEN:
raise Exception("GITHUB_TOKEN is not set") # noqa: TRY002
raise Exception("GITHUB_TOKEN is not set")
REPO_ROOT = Path(__file__).parent.parent.parent

Binary file not shown.

View File

@ -1,7 +1,6 @@
#!/usr/bin/env python3
import json
import logging
import os
import re
import subprocess
@ -9,7 +8,6 @@ import sys
import warnings
from enum import Enum
from functools import lru_cache
from logging import info
from typing import Any, Callable, Dict, List, Optional, Set
from urllib.request import Request, urlopen
@ -19,7 +17,33 @@ REENABLE_TEST_REGEX = "(?i)(Close(d|s)?|Resolve(d|s)?|Fix(ed|es)?) (#|https://gi
PREFIX = "test-config/"
logging.basicConfig(level=logging.INFO)
# Same as shard names
VALID_TEST_CONFIG_LABELS = {
f"{PREFIX}{label}"
for label in {
"backwards_compat",
"crossref",
"default",
"deploy",
"distributed",
"docs_tests",
"dynamo",
"force_on_cpu",
"functorch",
"inductor",
"inductor_distributed",
"inductor_huggingface",
"inductor_timm",
"inductor_torchbench",
"jit_legacy",
"multigpu",
"nogpu_AVX512",
"nogpu_NO_AVX2",
"slow",
"tsan",
"xla",
}
}
def is_cuda_or_rocm_job(job_name: Optional[str]) -> bool:
@ -38,9 +62,9 @@ SUPPORTED_PERIODICAL_MODES: Dict[str, Callable[[Optional[str]], bool]] = {
}
# The link to the published list of disabled jobs
DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json"
DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json?versionId=qO7aEr.Og33PtLXfNq0j0yj.bbLC7SzR"
# and unstable jobs
UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json"
UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json?versionId=7NhgpqKTtGXVUnL1C79KboTW_5qQx8y5"
# Some constants used to handle disabled and unstable jobs
JOB_NAME_SEP = "/"
@ -66,12 +90,6 @@ def parse_args() -> Any:
parser.add_argument(
"--test-matrix", type=str, required=True, help="the original test matrix"
)
parser.add_argument(
"--selected-test-configs",
type=str,
default="",
help="a comma-separated list of test configurations from the test matrix to keep",
)
parser.add_argument(
"--workflow", type=str, help="the name of the current workflow, i.e. pull"
)
@ -137,25 +155,19 @@ def get_labels(pr_number: int) -> Set[str]:
}
def filter_labels(labels: Set[str], label_regex: Any) -> Set[str]:
"""
Return the list of matching labels
"""
return {l for l in labels if re.match(label_regex, l)}
def filter(test_matrix: Dict[str, List[Any]], labels: Set[str]) -> Dict[str, List[Any]]:
"""
Select the list of test config to run from the test matrix. The logic works
as follows:
If the PR has one or more test-config labels as specified, only these test configs
will be selected. This also works with ciflow labels, for example, if a PR has both
ciflow/trunk and test-config/functorch, only trunk functorch builds and tests will
be run.
If the PR has one or more labels as specified in the VALID_TEST_CONFIG_LABELS set, only
these test configs will be selected. This also works with ciflow labels, for example,
if a PR has both ciflow/trunk and test-config/functorch, only trunk functorch builds
and tests will be run
If the PR has none of the test-config label, all tests are run as usual.
"""
filtered_test_matrix: Dict[str, List[Any]] = {"include": []}
for entry in test_matrix.get("include", []):
@ -165,46 +177,23 @@ def filter(test_matrix: Dict[str, List[Any]], labels: Set[str]) -> Dict[str, Lis
label = f"{PREFIX}{config_name.strip()}"
if label in labels:
msg = f"Select {config_name} because label {label} is present in the pull request by the time the test starts"
info(msg)
print(
f"Select {config_name} because label {label} is presented in the pull request by the time the test starts"
)
filtered_test_matrix["include"].append(entry)
test_config_labels = filter_labels(labels, re.compile(f"{PREFIX}.+"))
if not filtered_test_matrix["include"] and not test_config_labels:
info("Found no test-config label on the PR, so all test configs are included")
# Found no test-config label and the filtered test matrix is empty, return the same
valid_test_config_labels = labels.intersection(VALID_TEST_CONFIG_LABELS)
if not filtered_test_matrix["include"] and not valid_test_config_labels:
# Found no valid label and the filtered test matrix is empty, return the same
# test matrix as before so that all tests can be run normally
return test_matrix
else:
msg = f"Found {test_config_labels} on the PR so only these test configs are run"
info(msg)
# When the filter test matrix contain matches or if a valid test config label
# is found in the PR, return the filtered test matrix
return filtered_test_matrix
def filter_selected_test_configs(
test_matrix: Dict[str, List[Any]], selected_test_configs: Set[str]
) -> Dict[str, List[Any]]:
"""
Keep only the selected configs if the list if not empty. Otherwise, keep all test configs.
This filter is used when the workflow is dispatched manually.
"""
if not selected_test_configs:
return test_matrix
filtered_test_matrix: Dict[str, List[Any]] = {"include": []}
for entry in test_matrix.get("include", []):
config_name = entry.get("config", "")
if not config_name:
continue
if config_name in selected_test_configs:
filtered_test_matrix["include"].append(entry)
return filtered_test_matrix
def set_periodic_modes(
test_matrix: Dict[str, List[Any]], job_name: Optional[str]
) -> Dict[str, List[Any]]:
@ -385,33 +374,30 @@ def process_jobs(
# - If the target record has the job (config) name, only that test config
# will be skipped or marked as unstable
if not target_job_cfg:
msg = (
print(
f"Issue {target_url} created by {author} has {issue_type.value} "
+ f"all CI jobs for {workflow} / {job_name}"
)
info(msg)
return _filter_jobs(
test_matrix=test_matrix,
issue_type=issue_type,
)
if target_job_cfg == BUILD_JOB_NAME:
msg = (
print(
f"Issue {target_url} created by {author} has {issue_type.value} "
+ f"the build job for {workflow} / {job_name}"
)
info(msg)
return _filter_jobs(
test_matrix=test_matrix,
issue_type=issue_type,
)
if target_job_cfg in (TEST_JOB_NAME, BUILD_AND_TEST_JOB_NAME):
msg = (
print(
f"Issue {target_url} created by {author} has {issue_type.value} "
+ f"all the test jobs for {workflow} / {job_name}"
)
info(msg)
return _filter_jobs(
test_matrix=test_matrix,
issue_type=issue_type,
@ -477,7 +463,7 @@ def parse_reenabled_issues(s: Optional[str]) -> List[str]:
def get_reenabled_issues(pr_body: str = "") -> List[str]:
default_branch = f"origin/{os.environ.get('GIT_DEFAULT_BRANCH', 'main')}"
default_branch = os.getenv("GIT_DEFAULT_BRANCH", "main")
try:
commit_messages = subprocess.check_output(
f"git cherry -v {default_branch}".split(" ")
@ -508,15 +494,10 @@ def perform_misc_tasks(
"ci-no-test-timeout", check_for_setting(labels, pr_body, "ci-no-test-timeout")
)
set_output("ci-no-td", check_for_setting(labels, pr_body, "ci-no-td"))
# Only relevant for the one linux distributed cuda job, delete this when TD
# is rolled out completely
set_output(
"ci-td-distributed", check_for_setting(labels, pr_body, "ci-td-distributed")
)
# Obviously, if the job name includes unstable, then this is an unstable job
is_unstable = job_name and IssueType.UNSTABLE.value in job_name
if not is_unstable and test_matrix and test_matrix.get("include"):
if not is_unstable and test_matrix:
# Even when the job name doesn't mention unstable, we will also mark it as
# unstable when the test matrix only includes unstable jobs. Basically, this
# logic allows build or build-and-test jobs to be marked as unstable too.
@ -586,16 +567,6 @@ def main() -> None:
# No PR number, no tag, we can just return the test matrix as it is
filtered_test_matrix = test_matrix
if args.selected_test_configs:
selected_test_configs = {
v.strip().lower()
for v in args.selected_test_configs.split(",")
if v.strip()
}
filtered_test_matrix = filter_selected_test_configs(
filtered_test_matrix, selected_test_configs
)
if args.event_name == "schedule" and args.schedule == "29 8 * * *":
# we don't want to run the mem leak check or disabled tests on normal
# periodically scheduled jobs, only the ones at this time

View File

@ -13,16 +13,16 @@ architectures:
import os
from typing import Dict, List, Optional, Tuple
CUDA_ARCHES = ["11.8", "12.1", "12.4"]
CUDA_ARCHES = ["11.8", "12.1"]
CUDA_ARCHES_FULL_VERSION = {"11.8": "11.8.0", "12.1": "12.1.1", "12.4": "12.4.0"}
CUDA_ARCHES_FULL_VERSION = {"11.8": "11.8.0", "12.1": "12.1.1"}
CUDA_ARCHES_CUDNN_VERSION = {"11.8": "8", "12.1": "8", "12.4": "8"}
CUDA_ARCHES_CUDNN_VERSION = {"11.8": "8", "12.1": "8"}
ROCM_ARCHES = ["6.0", "6.1"]
ROCM_ARCHES = ["5.7", "6.0"]
CPU_CXX11_ABI_ARCH = ["cpu-cxx11-abi"]
@ -31,9 +31,6 @@ CPU_CXX11_ABI_ARCH = ["cpu-cxx11-abi"]
CPU_AARCH64_ARCH = ["cpu-aarch64"]
CPU_S390X_ARCH = ["cpu-s390x"]
PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
"11.8": (
"nvidia-cuda-nvrtc-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | " # noqa: B950
@ -61,20 +58,6 @@ PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
"nvidia-nccl-cu12==2.20.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.4": (
"nvidia-cuda-nvrtc-cu12==12.4.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-runtime-cu12==12.4.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.4.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==8.9.7.29; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.4.2.65; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.2.0.44; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.5.119; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.6.0.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.3.0.142; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.20.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.4.99; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvjitlink-cu12==12.4.99; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
}
@ -133,8 +116,6 @@ def arch_type(arch_version: str) -> str:
return "cpu-cxx11-abi"
elif arch_version in CPU_AARCH64_ARCH:
return "cpu-aarch64"
elif arch_version in CPU_S390X_ARCH:
return "cpu-s390x"
else: # arch_version should always be "cpu" in this case
return "cpu"
@ -154,7 +135,6 @@ WHEEL_CONTAINER_IMAGES = {
"cpu": f"pytorch/manylinux-builder:cpu-{DEFAULT_TAG}",
"cpu-cxx11-abi": f"pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-{DEFAULT_TAG}",
"cpu-aarch64": f"pytorch/manylinuxaarch64-builder:cpu-aarch64-{DEFAULT_TAG}",
"cpu-s390x": f"pytorch/manylinuxs390x-builder:cpu-s390x-{DEFAULT_TAG}",
}
CONDA_CONTAINER_IMAGES = {
@ -211,7 +191,6 @@ def translate_desired_cuda(gpu_arch_type: str, gpu_arch_version: str) -> str:
"cpu": "cpu",
"cpu-aarch64": "cpu",
"cpu-cxx11-abi": "cpu-cxx11-abi",
"cpu-s390x": "cpu",
"cuda": f"cu{gpu_arch_version.replace('.', '')}",
"rocm": f"rocm{gpu_arch_version}",
}.get(gpu_arch_type, gpu_arch_version)
@ -313,8 +292,8 @@ def generate_wheels_matrix(
python_versions: Optional[List[str]] = None,
) -> List[Dict[str, str]]:
package_type = "wheel"
if os == "linux" or os == "linux-aarch64" or os == "linux-s390x":
# NOTE: We only build manywheel packages for x86_64 and aarch64 and s390x linux
if os == "linux" or os == "linux-aarch64":
# NOTE: We only build manywheel packages for x86_64 and aarch64 linux
package_type = "manywheel"
if python_versions is None:
@ -331,10 +310,6 @@ def generate_wheels_matrix(
# Only want the one arch as the CPU type is different and
# uses different build/test scripts
arches = ["cpu-aarch64"]
elif os == "linux-s390x":
# Only want the one arch as the CPU type is different and
# uses different build/test scripts
arches = ["cpu-s390x"]
ret: List[Dict[str, str]] = []
for python_version in python_versions:
@ -345,12 +320,11 @@ def generate_wheels_matrix(
if arch_version == "cpu"
or arch_version == "cpu-cxx11-abi"
or arch_version == "cpu-aarch64"
or arch_version == "cpu-s390x"
else arch_version
)
# 12.1 linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
if arch_version in ["12.4", "12.1", "11.8"] and os == "linux":
if arch_version in ["12.1", "11.8"] and os == "linux":
ret.append(
{
"python_version": python_version,
@ -393,6 +367,5 @@ def generate_wheels_matrix(
return ret
validate_nccl_dep_consistency("12.4")
validate_nccl_dep_consistency("12.1")
validate_nccl_dep_consistency("11.8")

View File

@ -95,7 +95,6 @@ class OperatingSystem:
MACOS = "macos"
MACOS_ARM64 = "macos-arm64"
LINUX_AARCH64 = "linux-aarch64"
LINUX_S390X = "linux-s390x"
LINUX_BINARY_BUILD_WORFKLOWS = [
@ -333,20 +332,6 @@ AARCH64_BINARY_BUILD_WORKFLOWS = [
),
]
S390X_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.LINUX_S390X,
package_type="manywheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(
OperatingSystem.LINUX_S390X
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
]
def main() -> None:
jinja_env = jinja2.Environment(
@ -365,10 +350,6 @@ def main() -> None:
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
AARCH64_BINARY_BUILD_WORKFLOWS,
),
(
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
S390X_BINARY_BUILD_WORKFLOWS,
),
(
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
LINUX_BINARY_SMOKE_WORKFLOWS,
@ -397,9 +378,7 @@ def main() -> None:
for template, workflows in template_and_workflows:
# added Iterable check to appease the mypy gods
if not isinstance(workflows, Iterable):
raise Exception( # noqa: TRY002
f"How is workflows not iterable? {workflows}"
) # noqa: TRY002
raise Exception(f"How is workflows not iterable? {workflows}")
for workflow in workflows:
workflow.generate_workflow_file(workflow_template=template)

View File

@ -21,8 +21,6 @@ DOCKER_IMAGE_TYPES = ["runtime", "devel"]
def generate_docker_matrix() -> Dict[str, List[Dict[str, str]]]:
ret: List[Dict[str, str]] = []
# CUDA amd64 Docker images are available as both runtime and devel while
# CPU arm64 image is only available as runtime.
for cuda, version in generate_binary_build_matrix.CUDA_ARCHES_FULL_VERSION.items():
for image in DOCKER_IMAGE_TYPES:
ret.append(
@ -33,19 +31,9 @@ def generate_docker_matrix() -> Dict[str, List[Dict[str, str]]]:
cuda
],
"image_type": image,
"platform": "linux/amd64",
"platform": "linux/arm64,linux/amd64",
}
)
ret.append(
{
"cuda": "cpu",
"cuda_full_version": "",
"cudnn_version": "",
"image_type": "runtime",
"platform": "linux/arm64",
}
)
return {"include": ret}

View File

@ -4,7 +4,6 @@
import argparse
import json
import operator
import os
import re
import sys
@ -127,7 +126,7 @@ def find_job_id_name(args: Any) -> Tuple[str, str]:
# Sort the jobs list by start time, in descending order. We want to get the most
# recently scheduled job on the runner.
jobs.sort(key=operator.itemgetter("started_at"), reverse=True)
jobs.sort(key=lambda job: job["started_at"], reverse=True)
for job in jobs:
if job["runner_name"] == args.runner_name:

View File

@ -1,99 +0,0 @@
import json
from argparse import ArgumentParser
from typing import Any
from github import Auth, Github
from github.Issue import Issue
WORKFLOW_TYPE_LABEL = "label"
WORKFLOW_TYPE_RG = "rg"
WORKFLOW_TYPE_BOTH = "both"
def parse_args() -> Any:
parser = ArgumentParser("Get dynamic rollout settings")
parser.add_argument("--github-token", type=str, required=True, help="GitHub token")
parser.add_argument(
"--github-repo",
type=str,
required=False,
default="pytorch/test-infra",
help="GitHub repo to get the issue",
)
parser.add_argument(
"--github-issue", type=int, required=True, help="GitHub issue umber"
)
parser.add_argument(
"--github-user", type=str, required=True, help="GitHub username"
)
parser.add_argument(
"--github-branch", type=str, required=True, help="Current GitHub branch"
)
return parser.parse_args()
def get_gh_client(github_token: str) -> Github:
auth = Auth.Token(github_token)
return Github(auth=auth)
def get_issue(gh: Github, repo: str, issue_num: int) -> Issue:
repo = gh.get_repo(repo)
return repo.get_issue(number=issue_num)
def is_exception_branch(branch: str) -> bool:
return branch.split("/")[0] in {"main", "nightly", "release", "landchecks"}
def get_workflow_type(issue: Issue, username: str) -> str:
user_list = issue.get_comments()[0].body.split("\r\n")
try:
run_option = issue.get_comments()[1].body.split("\r\n")[0]
except Exception as e:
run_option = "single"
if user_list[0] == "!":
# Use old runners for everyone
return WORKFLOW_TYPE_LABEL
elif user_list[1] == "*":
if run_option == WORKFLOW_TYPE_BOTH:
# Use ARC runners and old runners for everyone
return WORKFLOW_TYPE_BOTH
else:
# Use only ARC runners for everyone
return WORKFLOW_TYPE_RG
elif username in user_list:
if run_option == WORKFLOW_TYPE_BOTH:
# Use ARC runners and old runners for a specific user
return WORKFLOW_TYPE_BOTH
else:
# Use only ARC runners for a specific user
return WORKFLOW_TYPE_RG
else:
# Use old runners by default
return WORKFLOW_TYPE_LABEL
def main() -> None:
args = parse_args()
if is_exception_branch(args.github_branch):
output = {"workflow_type": WORKFLOW_TYPE_LABEL}
else:
try:
gh = get_gh_client(args.github_token)
issue = get_issue(gh, args.github_repo, args.github_issue)
output = {"workflow_type": get_workflow_type(issue, args.github_user)}
except Exception as e:
output = {"workflow_type": WORKFLOW_TYPE_LABEL}
json_output = json.dumps(output)
print(json_output)
if __name__ == "__main__":
main()

Binary file not shown.

View File

@ -6,9 +6,6 @@ CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
eval "$(command conda 'shell.bash' 'hook' 2> /dev/null)"
conda activate "${CONDA_ENV}"
# Use uv to speed up lintrunner init
python3 -m pip install uv
CACHE_DIRECTORY="/tmp/.lintbin"
# Try to recover the cached binaries
if [[ -d "${CACHE_DIRECTORY}" ]]; then

View File

@ -1,20 +0,0 @@
#!/bin/bash
set -euxo pipefail
# Download requirements
cd llm-target-determinator
pip install -q -r requirements.txt
cd ../codellama
pip install -e .
# Run indexer
cd ../llm-target-determinator
torchrun \
--standalone \
--nnodes=1 \
--nproc-per-node=1 \
indexer.py \
--experiment-name indexer-files \
--granularity FILE

View File

@ -9,7 +9,6 @@ from unittest import main, mock, TestCase
import yaml
from filter_test_configs import (
filter,
filter_selected_test_configs,
get_labels,
mark_unstable_jobs,
parse_reenabled_issues,
@ -18,6 +17,7 @@ from filter_test_configs import (
remove_disabled_jobs,
set_periodic_modes,
SUPPORTED_PERIODICAL_MODES,
VALID_TEST_CONFIG_LABELS,
)
@ -273,13 +273,13 @@ class TestConfigFilter(TestCase):
testcases = [
{
"test_matrix": '{include: [{config: "default", runner: "linux"}]}',
"expected": '{"include": []}',
"description": "Request test-config/cfg but the test matrix doesn't have it",
"expected": '{"include": [{"config": "default", "runner": "linux"}]}',
"description": "No match, keep the same test matrix",
},
{
"test_matrix": '{include: [{config: "default", runner: "linux"}, {config: "plain-cfg"}]}',
"expected": '{"include": []}',
"description": "A valid test config label needs to start with test-config/",
"expected": '{"include": [{"config": "default", "runner": "linux"}, {"config": "plain-cfg"}]}',
"description": "No match because there is no prefix or suffix, keep the same test matrix",
},
{
"test_matrix": '{include: [{config: "default", runner: "linux"}, {config: "cfg", shard: 1}]}',
@ -294,8 +294,9 @@ class TestConfigFilter(TestCase):
)
self.assertEqual(case["expected"], json.dumps(filtered_test_matrix))
def test_filter_with_test_config_label(self) -> None:
def test_filter_with_valid_label(self) -> None:
mocked_labels = {f"{PREFIX}cfg", "ciflow/trunk"}
VALID_TEST_CONFIG_LABELS.add(f"{PREFIX}cfg")
testcases = [
{
@ -316,51 +317,6 @@ class TestConfigFilter(TestCase):
)
self.assertEqual(case["expected"], json.dumps(filtered_test_matrix))
def test_filter_selected_test_configs(self) -> None:
testcases = [
{
"test_matrix": '{include: [{config: "default"}]}',
"selected_test_configs": "",
"expected": '{"include": [{"config": "default"}]}',
"description": "No selected test configs",
},
{
"test_matrix": '{include: [{config: "default"}]}',
"selected_test_configs": "foo",
"expected": '{"include": []}',
"description": "A different test config is selected",
},
{
"test_matrix": '{include: [{config: "default"}]}',
"selected_test_configs": "foo, bar",
"expected": '{"include": []}',
"description": "A different set of test configs is selected",
},
{
"test_matrix": '{include: [{config: "default"}]}',
"selected_test_configs": "foo, bar,default",
"expected": '{"include": [{"config": "default"}]}',
"description": "One of the test config is selected",
},
{
"test_matrix": '{include: [{config: "default"}, {config: "bar"}]}',
"selected_test_configs": "foo, bar,Default",
"expected": '{"include": [{"config": "default"}, {"config": "bar"}]}',
"description": "Several test configs are selected",
},
]
for case in testcases:
selected_test_configs = {
v.strip().lower()
for v in case["selected_test_configs"].split(",")
if v.strip()
}
filtered_test_matrix = filter_selected_test_configs(
yaml.safe_load(case["test_matrix"]), selected_test_configs
)
self.assertEqual(case["expected"], json.dumps(filtered_test_matrix))
def test_set_periodic_modes(self) -> None:
testcases: List[Dict[str, str]] = [
{
@ -685,7 +641,6 @@ class TestConfigFilter(TestCase):
ci_verbose_test_logs: bool = False,
ci_no_test_timeout: bool = False,
ci_no_td: bool = False,
ci_td_distributed: bool = False,
is_unstable: bool = False,
reenabled_issues: str = "",
) -> str:
@ -694,7 +649,6 @@ class TestConfigFilter(TestCase):
f"ci-verbose-test-logs={ci_verbose_test_logs}\n"
f"ci-no-test-timeout={ci_no_test_timeout}\n"
f"ci-no-td={ci_no_td}\n"
f"ci-td-distributed={ci_td_distributed}\n"
f"is-unstable={is_unstable}\n"
f"reenabled-issues={reenabled_issues}\n"
)

View File

@ -205,6 +205,7 @@ def mocked_read_merge_rules(repo: Any, org: str, project: str) -> List[MergeRule
approved_by=["pytorch/metamates", "ngimel"],
mandatory_checks_name=[
"Lint",
"Facebook CLA Check",
"pull / linux-xenial-cuda11.3-py3.7-gcc7 / build",
],
ignore_flaky_failures=True,
@ -397,7 +398,7 @@ class TestTryMerge(TestCase):
def test_gql_retrieve_checksuites(self, *args: Any) -> None:
"Fetch comments and conclusions for PR with 60 commits"
pr = GitHubPR("pytorch", "pytorch", 94787)
self.assertEqual(len(pr.get_checkrun_conclusions()), 182)
self.assertEqual(len(pr.get_checkrun_conclusions()), 183)
def test_team_members(self, *args: Any) -> None:
"Test fetching team members works"
@ -741,30 +742,6 @@ class TestBypassFailures(TestCase):
self.assertTrue(len(failed) == 0)
self.assertTrue(len(ignorable["UNSTABLE"]) == 1)
# Add another test case where there is no unstable keyword in the job name, but
# the job has already been marked as unstable
pr = GitHubPR("pytorch", "executorch", 3318)
checks = pr.get_checkrun_conclusions()
checks = get_classifications(
pr.pr_num,
pr.project,
checks,
[],
)
print(checks)
workflow_name = "test-llama-app"
job_name = "mobile-job (android)"
self.assertTrue(
checks[f"Android / {workflow_name} / {job_name}"].classification
== "UNSTABLE"
)
pending, failed, ignorable = categorize_checks(
checks, list(checks.keys()), ok_failed_checks_threshold=1
)
self.assertTrue(len(pending) == 0)
self.assertTrue(len(failed) == 0)
self.assertTrue(len(ignorable["UNSTABLE"]) == 1)
def test_get_classifications_broken_trunk(self, *args: Any) -> None:
# The mock merge base is the actual value returned by gh_fetch_merge_base
test_cases = [
@ -856,41 +833,6 @@ class TestBypassFailures(TestCase):
self.assertTrue(len(ignorable["FLAKY"]) == 4)
self.assertTrue(len(ignorable["BROKEN_TRUNK"]) == 2)
def test_get_classifications_wrong_workflow_name(self, *args: Any) -> None:
pr = GitHubPR("pytorch", "pytorch", 123104)
checks = pr.get_checkrun_conclusions()
check_name = "linux-binary-conda / conda-py3_8-cuda11_8-build / build"
check_name_workflow_path = ".github/workflows/generated-linux-binary-conda-nightly.yml / conda-py3_8-cuda11_8-build / build"
# Mock a check where the workflow name uses the full path
checks[check_name_workflow_path] = JobCheckState(
check_name_workflow_path,
checks[check_name].url,
checks[check_name].status,
checks[check_name].classification,
checks[check_name].job_id,
checks[check_name].title,
checks[check_name].summary,
)
del checks[check_name]
checks = get_classifications(
pr.pr_num,
pr.project,
checks,
[],
)
pending, failed, ignorable = categorize_checks(
checks,
list(checks.keys()),
)
self.assertTrue(len(pending) == 0)
self.assertTrue(len(failed) == 0)
self.assertTrue(len(ignorable["FLAKY"]) == 1)
self.assertTrue(len(ignorable["BROKEN_TRUNK"]) == 0)
@mock.patch("trymerge.read_merge_rules", side_effect=xla_merge_rules)
def test_dont_ignore_flaky_failures(self, *args: Any) -> None:
"""

View File

@ -123,7 +123,6 @@ fragment PRCheckSuites on CheckSuiteConnection {
workflow {
name
}
databaseId
url
}
checkRuns(first: 50) {
@ -1399,10 +1398,7 @@ def find_matching_merge_rule(
)
required_checks = list(
filter(
lambda x: ("EasyCLA" in x)
or ("Facebook CLA Check" in x)
or not skip_mandatory_checks,
mandatory_checks,
lambda x: "EasyCLA" in x or not skip_mandatory_checks, mandatory_checks
)
)
pending_checks, failed_checks, _ = categorize_checks(
@ -1413,13 +1409,6 @@ def find_matching_merge_rule(
else 0,
)
# categorize_checks assumes all tests are required if required_checks is empty.
# this is a workaround as we want to keep that behavior for categorize_checks
# generally.
if not required_checks:
pending_checks = []
failed_checks = []
hud_link = f"https://hud.pytorch.org/{pr.org}/{pr.project}/commit/{pr.last_commit()['oid']}"
if len(failed_checks) > 0:
if reject_reason_score < 30000:
@ -1619,59 +1608,28 @@ def remove_job_name_suffix(name: str, replacement: str = ")") -> str:
def is_broken_trunk(
check: JobCheckState,
name: str,
drci_classifications: Any,
) -> bool:
if not check or not drci_classifications:
if not name or not drci_classifications:
return False
name = check.name
job_id = check.job_id
# Consult the list of broken trunk failures from Dr.CI
return any(
(name == broken_trunk["name"]) or (job_id and job_id == broken_trunk["id"])
name == broken_trunk["name"]
for broken_trunk in drci_classifications.get("BROKEN_TRUNK", [])
)
def is_unstable(
check: JobCheckState,
drci_classifications: Any,
) -> bool:
if not check or not drci_classifications:
return False
name = check.name
job_id = check.job_id
# The job name has the unstable keyword. This is the original way to mark a job
# as unstable on HUD, Dr.CI, and trymerge
if "unstable" in name:
return True
# Consult the list of unstable failures from Dr.CI
return any(
(name == unstable["name"] or (job_id and job_id == unstable["id"]))
for unstable in drci_classifications.get("UNSTABLE", [])
)
def is_flaky(
check: JobCheckState,
name: str,
drci_classifications: Any,
) -> bool:
if not check or not drci_classifications:
if not name or not drci_classifications:
return False
name = check.name
job_id = check.job_id
# Consult the list of flaky failures from Dr.CI
return any(
(name == flaky["name"] or (job_id and job_id == flaky["id"]))
for flaky in drci_classifications.get("FLAKY", [])
)
return any(name == flaky["name"] for flaky in drci_classifications.get("FLAKY", []))
def is_invalid_cancel(
@ -1744,7 +1702,7 @@ def get_classifications(
if check.status == "SUCCESS" or check.status == "NEUTRAL":
continue
if is_unstable(check, drci_classifications):
if "unstable" in name:
checks_with_classifications[name] = JobCheckState(
check.name,
check.url,
@ -1758,7 +1716,7 @@ def get_classifications(
# NB: It's important to note that when it comes to ghstack and broken trunk classification,
# Dr.CI uses the base of the whole stack
if is_broken_trunk(check, drci_classifications):
if is_broken_trunk(name, drci_classifications):
checks_with_classifications[name] = JobCheckState(
check.name,
check.url,
@ -1770,7 +1728,7 @@ def get_classifications(
)
continue
elif is_flaky(check, drci_classifications):
elif is_flaky(name, drci_classifications):
checks_with_classifications[name] = JobCheckState(
check.name,
check.url,

View File

@ -60,7 +60,7 @@ def rebase_onto(
repo._run_git("rebase", onto_branch, branch)
if repo.rev_parse(branch) == repo.rev_parse(onto_branch):
raise Exception(SAME_SHA_ERROR) # noqa: TRY002
raise Exception(SAME_SHA_ERROR)
if dry_run:
push_result = repo._run_git("push", "--dry-run", "-f", remote_url, refspec)
@ -100,7 +100,7 @@ def rebase_ghstack_onto(
repo._run_git("rebase", onto_branch, orig_ref)
if repo.rev_parse(orig_ref) == repo.rev_parse(onto_branch):
raise Exception(SAME_SHA_ERROR) # noqa: TRY002
raise Exception(SAME_SHA_ERROR)
# steal the identity of the committer of the commit on the orig branch
email = repo._run_git("log", orig_ref, "--pretty=format:%ae", "-1")
@ -126,7 +126,7 @@ def rebase_ghstack_onto(
print(push_result)
if ghstack_result.returncode != 0:
print(ghstack_result.stderr.decode("utf-8"))
raise Exception(f"\n```{push_result}```") # noqa: TRY002
raise Exception(f"\n```{push_result}```")
# The contents of a successful push result should look like:
# Summary of changes (ghstack 0.6.0)

View File

@ -8,7 +8,7 @@
# NOTE: If testing pytorch/builder changes you can change this variable to change what pytorch/builder reference
# the binary builds will check out
{%- set builder_repo = "pytorch/builder" -%}
{%- set builder_branch = "main" -%}
{%- set builder_branch = "release/2.3" -%}
{%- macro concurrency(build_environment) -%}
concurrency:

View File

@ -33,8 +33,6 @@ env:
# Needed for conda builds
{%- if "aarch64" in build_environment %}
ALPINE_IMAGE: "arm64v8/alpine"
{%- elif "s390x" in build_environment %}
ALPINE_IMAGE: "docker.io/s390x/alpine"
{%- else %}
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
{%- endif %}
@ -48,7 +46,7 @@ env:
PYTORCH_FINAL_PACKAGE_DIR: /artifacts
PYTORCH_ROOT: /pytorch
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 0
SKIP_ALL_TESTS: 1
!{{ common.concurrency(build_environment) }}
jobs:
@ -60,9 +58,6 @@ jobs:
{%- if "aarch64" in build_environment %}
runs_on: linux.arm64.2xlarge
ALPINE_IMAGE: "arm64v8/alpine"
{%- elif "s390x" in build_environment %}
runs_on: linux.s390x
ALPINE_IMAGE: "docker.io/s390x/alpine"
{%- elif "conda" in build_environment and config["gpu_arch_type"] == "cuda" %}
runs_on: linux.24xlarge
{%- endif %}
@ -84,9 +79,6 @@ jobs:
{%- if "aarch64" in build_environment %}
runs_on: linux.arm64.2xlarge
ALPINE_IMAGE: "arm64v8/alpine"
{%- elif "s390x" in build_environment %}
runs_on: linux.s390x
ALPINE_IMAGE: "docker.io/s390x/alpine"
{%- elif config["gpu_arch_type"] == "rocm" %}
runs_on: linux.rocm.gpu
{%- elif config["gpu_arch_type"] == "cuda" %}
@ -108,8 +100,8 @@ jobs:
with:
name: !{{ config["build_name"] }}
path: "${{ runner.temp }}/artifacts/"
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
!{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
- 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}"

View File

@ -48,7 +48,7 @@ env:
BUILD_ENVIRONMENT: !{{ build_environment }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
SKIP_ALL_TESTS: 0
SKIP_ALL_TESTS: 1
{%- if cross_compile_arm64 %}
CROSS_COMPILE_ARM64: 1
{% endif %}
@ -81,8 +81,8 @@ jobs:
elif [ -d "/Applications/Xcode_13.3.1.app" ]; then
echo "DEVELOPER_DIR=/Applications/Xcode_13.3.1.app/Contents/Developer" >> "${GITHUB_ENV}"
fi
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
!{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
- name: Install sccache (only for non-forked PRs, and pushes to trunk)
uses: nick-fields/retry@v2.8.2
if: ${{ github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository }}

View File

@ -65,8 +65,8 @@ jobs:
steps:
!{{ common.setup_ec2_windows() }}
!{{ set_runner_specific_vars() }}
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
!{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
- name: Populate binary env
shell: bash
run: |
@ -105,8 +105,8 @@ jobs:
with:
name: !{{ config["build_name"] }}
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
!{{ common.checkout(deep_clone=False, directory="pytorch") }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
!{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
!{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
- name: Populate binary env
shell: bash
run: |

View File

@ -37,7 +37,7 @@ jobs:
keep-going: ${{ steps.filter.outputs.keep-going }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
fetch-depth: 1
submodules: false
@ -59,25 +59,25 @@ jobs:
runs-on: ${{ matrix.runner }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image-name }}
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@ -141,5 +141,5 @@ jobs:
if: always()
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()

View File

@ -37,7 +37,7 @@ jobs:
keep-going: ${{ steps.filter.outputs.keep-going }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
fetch-depth: 1
submodules: false
@ -59,25 +59,25 @@ jobs:
runs-on: ${{ matrix.runner }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image-name }}
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@ -186,5 +186,5 @@ jobs:
if: always()
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()

View File

@ -42,7 +42,7 @@ jobs:
reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
fetch-depth: 1
submodules: false
@ -64,36 +64,31 @@ jobs:
runs-on: ${{ matrix.runner }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image-name }}
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
- name: Check if in a ARC runner
shell: bash
id: check_arc_runner
run: echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT"
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
if: ${{ inputs.cuda-version != 'cpu' && steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'false' }}
uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
if: ${{ inputs.cuda-version != 'cpu' }}
- name: Output disk space left
run: |
@ -201,5 +196,5 @@ jobs:
file-suffix: bazel-${{ github.job }}_${{ steps.get-job-id.outputs.job-id }}
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()

View File

@ -139,23 +139,20 @@ jobs:
run: env
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
continue-on-error: true
with:
github-secret: ${{ secrets.github-token }}
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' || inputs.build_environment == 'linux-s390x-binary-manywheel' }}
no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' }}
- name: Setup Linux
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/setup-linux
- name: Chown workspace
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}
@ -168,7 +165,7 @@ jobs:
rm -rf "${GITHUB_WORKSPACE}"
mkdir "${GITHUB_WORKSPACE}"
if [[ ${{ inputs.build_environment }} == 'linux-aarch64-binary-manywheel' ]] || [[ ${{ inputs.build_environment }} == 'linux-s390x-binary-manywheel' ]] ; then
if [[ ${{ inputs.build_environment }} == 'linux-aarch64-binary-manywheel' ]]; then
rm -rf "${RUNNER_TEMP}/artifacts"
mkdir "${RUNNER_TEMP}/artifacts"
fi
@ -176,7 +173,6 @@ jobs:
- name: Checkout PyTorch to pytorch dir
uses: malfet/checkout@silent-checkout
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
quiet-checkout: true
@ -190,7 +186,7 @@ jobs:
- name: Checkout pytorch/builder to builder dir
uses: malfet/checkout@silent-checkout
with:
ref: main
ref: release/2.3
submodules: recursive
repository: pytorch/builder
path: builder
@ -215,8 +211,8 @@ jobs:
]}
- name: Pull Docker image
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ inputs.DOCKER_IMAGE }}
@ -257,7 +253,7 @@ jobs:
fi
- name: Chown artifacts
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
shell: bash
run: |
# Ensure the working directory gets chowned back to the current user
@ -272,20 +268,11 @@ jobs:
${{ runner.temp }}/artifacts/*
- name: Teardown Linux
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
- name: Chown workspace
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
if: always()
uses: ./pytorch/.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}
- name: Cleanup docker
if: always() && inputs.build_environment == 'linux-s390x-binary-manywheel'
shell: bash
run: |
# on s390x stop the container for clean worker stop
# ignore expansion of "docker ps -q" since it could be empty
# shellcheck disable=SC2046
docker stop $(docker ps -q) || true

View File

@ -127,24 +127,21 @@ jobs:
} >> "${GITHUB_ENV} }}"
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
continue-on-error: true
with:
github-secret: ${{ secrets.github-token }}
# Setup the environment
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' || inputs.build_environment == 'linux-s390x-binary-manywheel' }}
no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' }}
- name: Setup Linux
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/setup-linux
- name: Chown workspace
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}
@ -158,7 +155,6 @@ jobs:
- name: Checkout PyTorch to pytorch dir
uses: malfet/checkout@silent-checkout
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
path: pytorch
@ -171,7 +167,7 @@ jobs:
- name: Checkout pytorch/builder to builder dir
uses: malfet/checkout@silent-checkout
with:
ref: main
ref: release/2.3
submodules: recursive
repository: pytorch/builder
path: builder
@ -202,12 +198,12 @@ jobs:
path: "${{ runner.temp }}/artifacts/"
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
if: ${{ inputs.GPU_ARCH_TYPE == 'cuda' && steps.filter.outputs.is-test-matrix-empty == 'False' }}
- name: Pull Docker image
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ inputs.DOCKER_IMAGE }}
@ -216,11 +212,11 @@ jobs:
uses: ./pytorch/.github/actions/test-pytorch-binary
- name: Teardown Linux
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/teardown-linux@main
if: always()
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
- name: Chown workspace
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
if: always()
uses: ./pytorch/.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}

View File

@ -95,7 +95,7 @@ jobs:
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
no-sudo: true

View File

@ -23,7 +23,7 @@ jobs:
keep-going: ${{ steps.filter.outputs.keep-going }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
fetch-depth: 1
submodules: false
@ -44,7 +44,7 @@ jobs:
runs-on: ${{ matrix.runner }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Set up JDK 8
uses: actions/setup-java@v3
@ -53,7 +53,7 @@ jobs:
distribution: 'temurin'
- name: Setup miniconda
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: 3.8
environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}

View File

@ -28,21 +28,7 @@ on:
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
upload-aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
GH_PYTORCHBOT_TOKEN:
required: false
@ -80,7 +66,7 @@ jobs:
name: build-docs-${{ matrix.docs_type }}-${{ inputs.push }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
instructions: |
@ -91,27 +77,19 @@ jobs:
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: configure aws credentials
if : ${{ inputs.aws-role-to-assume != '' }}
uses: aws-actions/configure-aws-credentials@v3
with:
role-to-assume: ${{ inputs.aws-role-to-assume }}
role-session-name: gha-linux-test
aws-region: us-east-1
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image }}
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@ -119,7 +97,6 @@ jobs:
uses: ./.github/actions/download-build-artifacts
with:
name: ${{ inputs.build-environment }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Generate netrc (only for docs-push)
if: inputs.push
@ -179,14 +156,6 @@ jobs:
uses: ./.github/actions/chown-workspace
if: always()
- name: configure aws credentials
if : ${{ inputs.upload-aws-role-to-assume != '' }}
uses: aws-actions/configure-aws-credentials@v3
with:
role-to-assume: ${{ inputs.upload-aws-role-to-assume }}
role-session-name: gha-linux-test
aws-region: us-east-1
- name: Upload Python Docs Preview
uses: seemethere/upload-artifact-s3@v5
if: ${{ github.event_name == 'pull_request' && matrix.docs_type == 'python' && steps.build-docs.outcome == 'success' }}
@ -194,7 +163,7 @@ jobs:
retention-days: 14
s3-bucket: doc-previews
if-no-files-found: error
path: pytorch_docs/main/
path: pytorch.github.io/docs/main/
s3-prefix: pytorch/pytorch/${{ github.event.pull_request.number }}
- name: Upload C++ Docs Preview
@ -218,5 +187,5 @@ jobs:
s3-prefix: pytorch/pytorch/${{ github.event.pull_request.number }}/functorchdocs
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()

View File

@ -46,7 +46,7 @@ jobs:
keep-going: ${{ steps.filter.outputs.keep-going }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
fetch-depth: 1
submodules: false
@ -80,7 +80,7 @@ jobs:
steps:
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Populate CI build options
shell: bash
@ -102,7 +102,7 @@ jobs:
brew install libtool
- name: Setup miniconda for iOS
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: "3.9"
environment-file: .github/requirements/conda-env-iOS.txt

View File

@ -1,109 +0,0 @@
name: linux-build
on:
workflow_call:
inputs:
build-environment:
required: true
type: string
description: Top-level label for what's being built/tested.
docker-image-name:
required: true
type: string
description: Name of the base docker image to build with.
build-generates-artifacts:
required: false
type: boolean
default: true
description: If set, upload generated build artifacts.
build-with-debug:
required: false
type: boolean
default: false
description: If set, build in debug mode.
sync-tag:
required: false
type: string
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
cuda-arch-list:
required: false
type: string
default: "5.2"
description: Runner label to select worker type
runner:
required: false
type: string
default: "linux.2xlarge"
description: |
List of CUDA architectures CI build should target.
test-matrix:
required: false
type: string
description: |
An option JSON description of what test configs to run later on. This
is moved here from the Linux test workflow so that we can apply filter
logic using test-config labels earlier and skip unnecessary builds
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
outputs:
docker-image:
value: ${{ jobs.build.outputs.docker-image }}
description: The docker image containing the built PyTorch.
test-matrix:
value: ${{ jobs.build.outputs.test-matrix }}
description: An optional JSON description of what test configs to run later on.
jobs:
build:
# Don't run on forked repos
if: github.repository_owner == 'pytorch'
runs-on: ${{ inputs.runner }}
timeout-minutes: 240
outputs:
docker-image: ${{ steps.linux-build.outputs.docker-image }}
test-matrix: ${{ steps.linux-build.outputs.test-matrix }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
# [pytorch repo ref]
# Use a pytorch/pytorch reference instead of a reference to the local
# checkout because when we run this action we don't *have* a local
# checkout. In other cases you should prefer a local checkout.
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
- name: Linux Build
id: linux-build
uses: ./.github/actions/linux-build
with:
build-environment: ${{ inputs.build-environment }}
docker-image-name: ${{ inputs.docker-image-name }}
build-generates-artifacts: ${{ inputs.build-generates-artifacts }}
build-with-debug: ${{ inputs.build-with-debug }}
sync-tag: ${{ inputs.sync-tag }}
cuda-arch-list: ${{ inputs.cuda-arch-list }}
test-matrix: ${{ inputs.test-matrix }}
s3-bucket: ${{ inputs.s3-bucket }}
aws-role-to-assume: ${{ inputs.aws-role-to-assume }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

View File

@ -1,105 +0,0 @@
name: linux-build-rg
on:
workflow_call:
inputs:
build-environment:
required: true
type: string
description: Top-level label for what's being built/tested.
docker-image-name:
required: true
type: string
description: Name of the base docker image to build with.
build-generates-artifacts:
required: false
type: boolean
default: true
description: If set, upload generated build artifacts.
build-with-debug:
required: false
type: boolean
default: false
description: If set, build in debug mode.
sync-tag:
required: false
type: string
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
cuda-arch-list:
required: false
type: string
default: "5.2"
description: |
List of CUDA architectures CI build should target.
runner-group:
required: false
type: string
default: "arc-lf-linux.2xlarge"
description: Runner group to select group type
test-matrix:
required: false
type: string
description: |
An option JSON description of what test configs to run later on. This
is moved here from the Linux test workflow so that we can apply filter
logic using test-config labels earlier and skip unnecessary builds
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
outputs:
docker-image:
value: ${{ jobs.build.outputs.docker-image }}
description: The docker image containing the built PyTorch.
test-matrix:
value: ${{ jobs.build.outputs.test-matrix }}
description: An optional JSON description of what test configs to run later on.
jobs:
build:
# Don't run on forked repos
if: github.repository_owner == 'pytorch'
runs-on:
group: ${{ inputs.runner-group }}
timeout-minutes: 240
outputs:
docker-image: ${{ steps.linux-build.outputs.docker-image }}
test-matrix: ${{ steps.linux-build.outputs.test-matrix }}
steps:
# [pytorch repo ref]
# Use a pytorch/pytorch reference instead of a reference to the local
# checkout because when we run this action we don't *have* a local
# checkout. In other cases you should prefer a local checkout.
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
- name: Linux Build
id: linux-build
uses: ./.github/actions/linux-build
with:
build-environment: ${{ inputs.build-environment }}
docker-image-name: ${{ inputs.docker-image-name }}
build-generates-artifacts: ${{ inputs.build-generates-artifacts }}
build-with-debug: ${{ inputs.build-with-debug }}
sync-tag: ${{ inputs.sync-tag }}
cuda-arch-list: ${{ inputs.cuda-arch-list }}
test-matrix: ${{ inputs.test-matrix }}
s3-bucket: ${{ inputs.s3-bucket }}
aws-role-to-assume: ${{ inputs.aws-role-to-assume }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

View File

@ -47,23 +47,6 @@ on:
An option JSON description of what test configs to run later on. This
is moved here from the Linux test workflow so that we can apply filter
logic using test-config labels earlier and skip unnecessary builds
selected-test-configs:
description: |
A comma-separated list of test configurations from the test matrix to keep,
The empty list means we are going to keep every configurations by defaults
required: false
type: string
default: ""
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: Role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
@ -90,7 +73,7 @@ jobs:
test-matrix: ${{ steps.filter.outputs.test-matrix }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
@ -99,22 +82,14 @@ jobs:
# checkout because when we run this action we don't *have* a local
# checkout. In other cases you should prefer a local checkout.
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: configure aws credentials
uses: aws-actions/configure-aws-credentials@v3
if: ${{ inputs.aws-role-to-assume != '' }}
with:
role-to-assume: ${{ inputs.aws-role-to-assume }}
role-session-name: gha-linux-build
aws-region: us-east-1
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image-name }}
@ -128,7 +103,7 @@ jobs:
echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@ -150,7 +125,6 @@ jobs:
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
test-matrix: ${{ inputs.test-matrix }}
selected-test-configs: ${{ inputs.selected-test-configs }}
job-name: ${{ steps.get-job-id.outputs.job-name }}
- name: Download pytest cache
@ -159,7 +133,6 @@ jobs:
with:
cache_dir: .pytest_cache
job_identifier: ${{ github.workflow }}_${{ inputs.build-environment }}
s3_bucket: ${{ inputs.s3-bucket }}
- name: Build
if: steps.filter.outputs.is-test-matrix-empty == 'False' || inputs.test-matrix == ''
@ -224,7 +197,6 @@ jobs:
retention-days: 14
if-no-files-found: error
path: artifacts.zip
s3-bucket: ${{ inputs.s3-bucket }}
- name: Upload sccache stats
if: steps.build.outcome != 'skipped'
@ -235,8 +207,7 @@ jobs:
retention-days: 365
if-no-files-found: warn
path: sccache-stats-*.json
s3-bucket: ${{ inputs.s3-bucket }}
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()

View File

@ -1,85 +0,0 @@
name: linux-test-rg
on:
workflow_call:
inputs:
build-environment:
required: true
type: string
description: Top-level label for what's being built/tested.
test-matrix:
required: true
type: string
description: JSON description of what test configs to run.
docker-image:
required: true
type: string
description: Docker image to run in.
sync-tag:
required: false
type: string
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
timeout-minutes:
required: false
type: number
default: 240
description: |
Set the maximum (in minutes) how long the workflow should take to finish
use-gha:
required: false
type: string
default: ""
description: If set to any value, upload to GHA. Otherwise upload to S3.
dashboard-tag:
required: false
type: string
default: ""
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
env:
GIT_DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
jobs:
test:
# Don't run on forked repos or empty test matrix
if: github.repository_owner == 'pytorch' && toJSON(fromJSON(inputs.test-matrix).include) != '[]'
strategy:
matrix: ${{ fromJSON(inputs.test-matrix) }}
fail-fast: false
runs-on: ${{ matrix.runner }}
timeout-minutes: ${{ matrix.mem_leak_check == 'mem_leak_check' && 600 || inputs.timeout-minutes }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
- name: Linux Test
id: linux-test
uses: ./.github/actions/linux-test
with:
build-environment: ${{ inputs.build-environment }}
test-matrix: ${{ inputs.test-matrix }}
docker-image: ${{ inputs.docker-image }}
sync-tag: ${{ inputs.sync-tag }}
use-gha: ${{ inputs.use-gha }}
dashboard-tag: ${{ inputs.dashboard-tag }}
s3-bucket: ${{ inputs.s3-bucket }}
aws-role-to-assume: ${{ inputs.aws-role-to-assume }}
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

View File

@ -1,86 +0,0 @@
name: linux-test-label
on:
workflow_call:
inputs:
build-environment:
required: true
type: string
description: Top-level label for what's being built/tested.
test-matrix:
required: true
type: string
description: JSON description of what test configs to run.
docker-image:
required: true
type: string
description: Docker image to run in.
sync-tag:
required: false
type: string
default: ""
description: |
If this is set, our linter will use this to make sure that every other
job with the same `sync-tag` is identical.
timeout-minutes:
required: false
type: number
default: 240
description: |
Set the maximum (in minutes) how long the workflow should take to finish
use-gha:
required: false
type: string
default: ""
description: If set to any value, upload to GHA. Otherwise upload to S3.
dashboard-tag:
required: false
type: string
default: ""
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
description: |
HF Auth token to avoid rate limits when downloading models or datasets from hub
env:
GIT_DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
jobs:
test:
# Don't run on forked repos or empty test matrix
if: github.repository_owner == 'pytorch' && toJSON(fromJSON(inputs.test-matrix).include) != '[]'
strategy:
matrix: ${{ fromJSON(inputs.test-matrix) }}
fail-fast: false
runs-on:
group: ${{ matrix.runner }}
timeout-minutes: ${{ matrix.mem_leak_check == 'mem_leak_check' && 600 || inputs.timeout-minutes }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
- name: Linux Test
id: linux-test
uses: ./.github/actions/linux-test
with:
build-environment: ${{ inputs.build-environment }}
test-matrix: ${{ inputs.test-matrix }}
docker-image: ${{ inputs.docker-image }}
sync-tag: ${{ inputs.sync-tag }}
use-gha: ${{ inputs.use-gha }}
dashboard-tag: ${{ inputs.dashboard-tag }}
s3-bucket: ${{ inputs.s3-bucket }}
aws-role-to-assume: ${{ inputs.aws-role-to-assume }}
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

View File

@ -37,16 +37,6 @@ on:
required: false
type: string
default: ""
s3-bucket:
description: S3 bucket to download artifact
required: false
type: string
default: "gha-artifacts"
aws-role-to-assume:
description: role to assume for downloading artifacts
required: false
type: string
default: ""
secrets:
HUGGING_FACE_HUB_TOKEN:
required: false
@ -67,7 +57,7 @@ jobs:
timeout-minutes: ${{ matrix.mem_leak_check == 'mem_leak_check' && 600 || inputs.timeout-minutes }}
steps:
- name: Setup SSH (Click me for login details)
uses: pytorch/test-infra/.github/actions/setup-ssh@main
uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
if: ${{ !contains(matrix.runner, 'gcp.a100') }}
with:
github-secret: ${{ secrets.GITHUB_TOKEN }}
@ -76,22 +66,14 @@ jobs:
docker exec -it $(docker container ps --format '{{.ID}}') bash
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: configure aws credentials
if : ${{ inputs.aws-role-to-assume != '' }}
uses: aws-actions/configure-aws-credentials@v3
with:
role-to-assume: ${{ inputs.aws-role-to-assume }}
role-session-name: gha-linux-test
aws-region: us-east-1
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image }}
@ -105,19 +87,14 @@ jobs:
echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
- name: Check if in a ARC runner
shell: bash
id: check_arc_runner
run: echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT"
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
id: install-nvidia-driver
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
if: ${{ contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu') && steps.check_arc_runner.outputs.IN_ARC_RUNNER == 'false' }}
uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
if: contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu')
- name: Lock NVIDIA A100 40GB Frequency
run: |
@ -139,7 +116,6 @@ jobs:
uses: ./.github/actions/download-build-artifacts
with:
name: ${{ inputs.build-environment }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Download TD artifacts
continue-on-error: true
@ -200,7 +176,6 @@ jobs:
VERBOSE_TEST_LOGS: ${{ steps.keep-going.outputs.ci-verbose-test-logs }}
NO_TEST_TIMEOUT: ${{ steps.keep-going.outputs.ci-no-test-timeout }}
NO_TD: ${{ steps.keep-going.outputs.ci-no-td }}
TD_DISTRIBUTED: ${{ steps.keep-going.outputs.ci-td-distributed }}
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
SCCACHE_S3_KEY_PREFIX: ${{ github.workflow }}
SHM_SIZE: ${{ contains(inputs.build-environment, 'cuda') && '2g' || '1g' }}
@ -253,7 +228,6 @@ jobs:
-e VERBOSE_TEST_LOGS \
-e NO_TEST_TIMEOUT \
-e NO_TD \
-e TD_DISTRIBUTED \
-e PR_LABELS \
-e MAX_JOBS="$(nproc --ignore=2)" \
-e SCCACHE_BUCKET \
@ -266,6 +240,7 @@ jobs:
-e HUGGING_FACE_HUB_TOKEN \
-e DASHBOARD_TAG \
--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
--ulimit stack=10485760:83886080 \
--security-opt seccomp=unconfined \
--cap-add=SYS_PTRACE \
--ipc=host \
@ -315,7 +290,6 @@ jobs:
with:
file-suffix: ${{ github.job }}-${{ matrix.config }}-${{ matrix.shard }}-${{ matrix.num_shards }}-${{ matrix.runner }}_${{ steps.get-job-id.outputs.job-id }}
use-gha: ${{ inputs.use-gha }}
s3-bucket: ${{ inputs.s3-bucket }}
- name: Collect backtraces from coredumps (if any)
if: always()
@ -333,7 +307,7 @@ jobs:
path: ./**/core.[1-9]*
- name: Teardown Linux
uses: pytorch/test-infra/.github/actions/teardown-linux@main
uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
if: always()
# NB: We are currently having an intermittent GPU-related issue on G5 runners with

View File

@ -71,11 +71,11 @@ jobs:
test-matrix: ${{ steps.filter.outputs.test-matrix }}
steps:
- name: Clean up disk space before running MacOS workflow
uses: pytorch/test-infra/.github/actions/check-disk-space@main
uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Set xcode version
env:
@ -87,7 +87,7 @@ jobs:
- name: Setup miniconda
if: inputs.environment-file == ''
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: ${{ inputs.python-version }}
environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@ -97,7 +97,7 @@ jobs:
# environment even though the arch is x86-64
- name: Setup miniconda using the provided environment file
if: inputs.environment-file != ''
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: ${{ inputs.python-version }}
environment-file: ${{ inputs.environment-file }}
@ -207,4 +207,4 @@ jobs:
- name: Clean up disk space
if: always()
continue-on-error: true
uses: pytorch/test-infra/.github/actions/check-disk-space@main
uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

View File

@ -40,7 +40,7 @@ jobs:
reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
steps:
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
submodules: false
@ -81,7 +81,7 @@ jobs:
use-gha: true
- name: Setup miniconda
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: ${{ inputs.python-version }}
environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@ -159,4 +159,4 @@ jobs:
- name: Clean up disk space
if: always()
continue-on-error: true
uses: pytorch/test-infra/.github/actions/check-disk-space@main
uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

View File

@ -24,6 +24,11 @@ on:
default: "3.8"
description: |
The python version to be used. Will be 3.8 by default
arch:
required: true
type: string
description: |
Contains the architecture to run the tests with
timeout-minutes:
required: false
type: number
@ -39,7 +44,7 @@ jobs:
# Also ensure that we always run with the right architecture
defaults:
run:
shell: bash -e -l {0}
shell: arch -arch ${{ inputs.arch }} bash -e -l {0}
strategy:
matrix: ${{ fromJSON(inputs.test-matrix) }}
fail-fast: false
@ -74,11 +79,11 @@ jobs:
done
- name: Clean up disk space before running MacOS workflow
uses: pytorch/test-infra/.github/actions/check-disk-space@main
uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
- name: Download build artifacts
uses: ./.github/actions/download-build-artifacts
@ -93,7 +98,7 @@ jobs:
use-gha: true
- name: Setup miniconda
uses: pytorch/test-infra/.github/actions/setup-miniconda@main
uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
with:
python-version: ${{ inputs.python-version }}
environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@ -128,6 +133,12 @@ jobs:
test-matrix: ${{ inputs.test-matrix }}
job-name: ${{ steps.get-job-id.outputs.job-name }}
- name: Pre-process arm64 wheels
if: inputs.build-environment == 'macos-12-py3-arm64'
run: |
# As wheels are cross-compiled they are reported as x86_64 ones
ORIG_WHLNAME=$(ls -1 dist/*.whl); ARM_WHLNAME=${ORIG_WHLNAME/x86_64/arm64}; mv "${ORIG_WHLNAME}" "${ARM_WHLNAME}"
- name: Set Test step time
id: test-timeout
shell: bash
@ -216,4 +227,4 @@ jobs:
- name: Clean up disk space
if: always()
continue-on-error: true
uses: pytorch/test-infra/.github/actions/check-disk-space@main
uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

View File

@ -58,7 +58,7 @@ jobs:
steps:
# [see note: pytorch repo ref]
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
with:
no-sudo: true
@ -80,12 +80,12 @@ jobs:
- name: Calculate docker image
id: calculate-docker-image
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
with:
docker-image-name: ${{ inputs.docker-image }}
- name: Pull docker image
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}

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