1. This tags docker images using docker pull/tag/push for current release 2. Sets RELEASE_VERSION_TAG var and regenerates the workflows using the new docker tag 3. Remove conda token setting and Binary tests release changes these are already automated 4. Pin unstable and disabled jobs, autumate: https://github.com/pytorch/pytorch/pull/111675 Test: ``` RELEASE_VERSION=2.2 ./scripts/release/apply-release-changes.sh Tagging pytorch/manylinux-builder:cuda11.8-main to pytorch/manylinux-builder:cuda11.8-2.2 , dry_run: enabled Tagging pytorch/manylinux-builder:cuda12.1-main to pytorch/manylinux-builder:cuda12.1-2.2 , dry_run: enabled Tagging pytorch/libtorch-cxx11-builder:cuda11.8-main to pytorch/libtorch-cxx11-builder:cuda11.8-2.2 , dry_run: enabled Tagging pytorch/libtorch-cxx11-builder:cuda12.1-main to pytorch/libtorch-cxx11-builder:cuda12.1-2.2 , dry_run: enabled Tagging pytorch/manylinux-builder:rocm5.6-main to pytorch/manylinux-builder:rocm5.6-2.2 , dry_run: enabled Tagging pytorch/manylinux-builder:rocm5.7-main to pytorch/manylinux-builder:rocm5.7-2.2 , dry_run: enabled Tagging pytorch/libtorch-cxx11-builder:rocm5.6-main to pytorch/libtorch-cxx11-builder:rocm5.6-2.2 , dry_run: enabled Tagging pytorch/libtorch-cxx11-builder:rocm5.7-main to pytorch/libtorch-cxx11-builder:rocm5.7-2.2 , dry_run: enabled Tagging pytorch/manylinux-builder:cpu-main to pytorch/manylinux-builder:cpu-2.2 , dry_run: enabled Tagging pytorch/libtorch-cxx11-builder:cpu-main to pytorch/libtorch-cxx11-builder:cpu-2.2 , dry_run: enabled Tagging pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main to pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.2 , dry_run: enabled Tagging pytorch/manylinuxaarch64-builder:cpu-aarch64-main to pytorch/manylinuxaarch64-builder:cpu-aarch64-2.2 , dry_run: enabled Tagging pytorch/conda-builder:cuda11.8-main to pytorch/conda-builder:cuda11.8-2.2 , dry_run: enabled Tagging pytorch/conda-builder:cuda12.1-main to pytorch/conda-builder:cuda12.1-2.2 , dry_run: enabled Tagging pytorch/conda-builder:cpu-main to pytorch/conda-builder:cpu-2.2 , dry_run: enabled /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-manywheel-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-conda-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-libtorch-cxx11-abi-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-libtorch-pre-cxx11-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-aarch64-binary-manywheel-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-manywheel-main.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-libtorch-cxx11-abi-main.yml /data/users/atalman/pytorch/.github/workflows/generated-linux-binary-libtorch-pre-cxx11-main.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-wheel-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-conda-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-libtorch-release-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-libtorch-debug-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-libtorch-release-main.yml /data/users/atalman/pytorch/.github/workflows/generated-windows-binary-libtorch-debug-main.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-binary-wheel-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-binary-conda-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-binary-libtorch-cxx11-abi-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-arm64-binary-libtorch-cxx11-abi-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-arm64-binary-wheel-nightly.yml /data/users/atalman/pytorch/.github/workflows/generated-macos-arm64-binary-conda-nightly.yml ```` Result of pinning unstable and disabled jobs: ``` # The link to the published list of disabled jobs DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json?versionid=kKJlAXdrUbk3CilXbKu.6OwNTGQB8a.B" # and unstable jobs UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json?versionid=vzaicOxSsh55iXBXwgGrW6dFeVtPfrhr" ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/114355 Approved by: https://github.com/malfet |
||
|---|---|---|
| .. | ||
| analysis | ||
| appveyor | ||
| fbcode-dev-setup | ||
| jit | ||
| model_zoo | ||
| onnx | ||
| release | ||
| release_notes | ||
| add_apache_header.sh | ||
| apache_header.txt | ||
| apache_python.txt | ||
| buck_setup.sh | ||
| build_android.sh | ||
| build_host_protoc.sh | ||
| build_ios.sh | ||
| build_local.sh | ||
| build_mobile.sh | ||
| build_pytorch_android.sh | ||
| build_raspbian.sh | ||
| build_tegra_x1.sh | ||
| build_tizen.sh | ||
| build_windows.bat | ||
| diagnose_protobuf.py | ||
| get_python_cmake_flags.py | ||
| install_triton_wheel.sh | ||
| proto.ps1 | ||
| read_conda_versions.sh | ||
| README.md | ||
| remove_apache_header.sh | ||
| temp.sh | ||
| xcode_build.rb | ||
This directory contains the useful tools.
build_android.sh
This script is to build PyTorch/Caffe2 library for Android. Take the following steps to start the build:
- set ANDROID_NDK to the location of ndk
export ANDROID_NDK=YOUR_NDK_PATH
- run build_android.sh
#in your PyTorch root directory
bash scripts/build_android.sh
If succeeded, the libraries and headers would be generated to build_android/install directory. You can then copy these files from build_android/install to your Android project for further usage.
You can also override the cmake flags via command line, e.g., following command will also compile the executable binary files:
bash scripts/build_android.sh -DBUILD_BINARY=ON
build_ios.sh
This script is to build PyTorch/Caffe2 library for iOS, and can only be performed on macOS. Take the following steps to start the build:
- Install Xcode from App Store, and configure "Command Line Tools" properly on Xcode.
- Install the dependencies:
brew install cmake automake libtool
- run build_ios.sh
#in your PyTorch root directory
bash scripts/build_ios.sh
If succeeded, the libraries and headers would be generated to build_ios/install directory. You can then copy these files to your Xcode project for further usage.