Below is the release schedule for gRPC Java, Go and Core and its dependent languages C++, C#, Objective-C, PHP, Python and Ruby.
Releases are scheduled every six weeks on Tuesdays on a best effort basis. In some unavoidable situations a release may be delayed or released early or a language may skip a release altogether and do the next release to catch up with other languages. See the past releases in the links above. A six-week cycle gives us a good balance between delivering new features/fixes quickly and keeping the release overhead low.
The gRPC release support policy can be found here.
Releases are cut from release branches. For Core and Java repos, the release branch is cut two weeks before the scheduled release date. For Go, the branch is cut just before the release. An RC (release candidate) is published for Core and its dependent languages just after the branch cut. This RC is later promoted to release version if no further changes are made to the release branch. We do our best to keep head of master branch stable at all times regardless of release schedule. Daily build packages from master branch for C#, PHP, Python, Ruby and Protoc plugins are published on packages.grpc.io. If you depend on gRPC in production we recommend to set up your CI system to test the RCs and, if possible, the daily builds.
NumPy 1.22.0 is a big release featuring the work of 153 contributors
spread over 609 pull requests. There have been many improvements,
highlights are:
Annotations of the main namespace are essentially complete. Upstream
is a moving target, so there will likely be further improvements,
but the major work is done. This is probably the most user visible
enhancement in this release.
A preliminary version of the proposed Array-API is provided. This is
a step in creating a standard collection of functions that can be
used across application such as CuPy and JAX.
NumPy now has a DLPack backend. DLPack provides a common interchange
format for array (tensor) data.
New methods for quantile, percentile, and related functions. The
new methods provide a complete set of the methods commonly found in
the literature.
A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for
commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7
has been dropped. Note that 32 bit wheels are only provided for Python
3.8 and 3.9 on Windows, all other wheels are 64 bits on account of
Ubuntu, Fedora, and other Linux distributions dropping 32 bit support.
All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix
the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings "Bytes0", "Datetime64", "Str0", "Uint32",
and "Uint64" as a dtype will now raise a TypeError.
Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio
numpy.loads was deprecated in v1.15, with the recommendation that
users use pickle.loads instead. ndfromtxt and mafromtxt were both
deprecated in v1.17 - users should use numpy.genfromtxt instead with
the appropriate value for the usemask parameter.
torch.jit.annotations.parse_type_line is not safe (command injection) #88868
Use the Python frame safely in _pythonCallstack #88993
Double-backward with full_backward_hook causes RuntimeError #88312
Fix logical error in get_default_qat_qconfig #88876
Fix cuda/cpu check on NoneType and unit test #88854 and #88970
Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504
Onnx operator_export_type on the new registry #87735
torchrun AttributeError caused by file_based_local_timer on Windows #85427
The release tracker should contain all relevant pull requests related to this release as well as links to related issues
PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available
Pytorch 1.13 Release Notes
Highlights
Backwards Incompatible Changes
New Features
Improvements
Performance
Documentation
Developers
Highlights
We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.
Summary:
The BetterTransformer feature set supports fastpath execution for common Transformer models during Inference out-of-the-box, without the need to modify the model. Additional improvements include accelerated add+matmul linear algebra kernels for sizes commonly used in Transformer models and Nested Tensors is now enabled by default.
Timely deprecating older CUDA versions allows us to proceed with introducing the latest CUDA version as they are introduced by Nvidia®, and hence allows support for C++17 in PyTorch and new NVIDIA Open GPU Kernel Modules.
Previously, functorch was released out-of-tree in a separate package. After installing PyTorch, a user will be able to import functorch and use functorch without needing to install another package.
PyTorch is offering native builds for Apple® silicon machines that use Apple's new M1 chip as a beta feature, providing improved support across PyTorch's APIs.
Stable
Beta
Prototype
Better TransformerCUDA 10.2 and 11.3 CI/CD Deprecation
Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIsExtend NNC to support channels last and bf16Functorch now in PyTorch Core LibraryBeta Support for M1 devices
Arm® Compute Library backend support for AWS Graviton CUDA Sanitizer
You can check the blogpost that shows the new features here.
NumPy 1.22.0 is a big release featuring the work of 153 contributors
spread over 609 pull requests. There have been many improvements,
highlights are:
Annotations of the main namespace are essentially complete. Upstream
is a moving target, so there will likely be further improvements,
but the major work is done. This is probably the most user visible
enhancement in this release.
A preliminary version of the proposed Array-API is provided. This is
a step in creating a standard collection of functions that can be
used across application such as CuPy and JAX.
NumPy now has a DLPack backend. DLPack provides a common interchange
format for array (tensor) data.
New methods for quantile, percentile, and related functions. The
new methods provide a complete set of the methods commonly found in
the literature.
A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for
commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7
has been dropped. Note that 32 bit wheels are only provided for Python
3.8 and 3.9 on Windows, all other wheels are 64 bits on account of
Ubuntu, Fedora, and other Linux distributions dropping 32 bit support.
All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix
the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings "Bytes0", "Datetime64", "Str0", "Uint32",
and "Uint64" as a dtype will now raise a TypeError.
Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio
numpy.loads was deprecated in v1.15, with the recommendation that
users use pickle.loads instead. ndfromtxt and mafromtxt were both
deprecated in v1.17 - users should use numpy.genfromtxt instead with
the appropriate value for the usemask parameter.
Bumps the pip group with 5 updates in the /AttentionAgent directory:
3.7.13.18.31.20.11.53.21.16.31.22.01.3.01.13.18.3.210.3.0Bumps the pip group with 29 updates in the /WANNRelease/prettyNeatWann directory:
1.18.11.22.07.0.010.3.04.05.3.32019.11.282024.7.42.842.0.42.11.02021.10.01.1.12.2.50.18.20.18.31.4.023.9.02.83.72.11.13.1.40.14.11.2.04.6.14.11.21.2.63.6.70.9.00.12.24.5.04.9.11.1.01.3.05.6.16.5.13.4.53.8.16.0.36.4.121.8.11.11.02.22.02.32.20.22.11.5.06.0.36.4.14.42.14.66.31.355.4.01.25.81.26.191.0.03.0.32.2.03.19.1Bumps the pip group with 4 updates in the /es-clip directory: numpy, torch, pillow and tqdm.
Updates
protobuffrom 3.7.1 to 3.18.3Release notes
Sourced from protobuf's releases.
... (truncated)
Commits
a902b39No-op whitespace changeae62acdUpdating version.json and repo version numbers to: 18.3f43ac49Merge pull request #10542 from deannagarcia/3.18.x9efdf55Add missing includesd1635e1Apply patch5b37c91Update version.json with "lts": true (#10534)c39d622Merge pull request #10529 from protocolbuffers/deannagarcia-patch-5f77d3b6Update version.json8178b06Merge pull request #10503 from deannagarcia/3.18.x24ca839Add version fileUpdates
grpciofrom 1.20.1 to 1.53.2Release notes
Sourced from grpcio's releases.
... (truncated)
Changelog
Sourced from grpcio's changelog.
Commits
afb307f[v1.53.x][Interop] Backport Python image update (#33864)7a9373b[Backport] [dependency] Restrict cython to less than 3.X (#33770)fdb64a6[v1.53][Build] Update Phusion baseimage (#33767) (#33836)cdf4186[PSM Interop] Legacy tests: fix xDS test client build (v1.53.x backport) (#33...ce5b93a[PSM Interop] Legacy test builds always pull the driver from master (v1.53.x ...b24b6ea[release] Bump release version to 1.53.2 (#33709)1e86ca5[backport][iomgr][EventEngine] Improve server handling of file descriptor exh...aff3066[PSM interop] Don't fail url_map target if sub-target already failed (v1.53.x...539d75c[PSM interop] Don't fail target if sub-target already failed (#33222) (v1.53....3e79c88[Release] Bump version to 1.53.1 (on v1.53.x branch) (#33047)Updates
numpyfrom 1.16.3 to 1.22.0Release notes
Sourced from numpy's releases.
... (truncated)
Commits
4adc87dMerge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547REL: Prepare for the NumPy 1.22.0 release.125304bwipc283859Merge pull request #20682 from charris/backport-204165399c03Merge pull request #20681 from charris/backport-20954f9c45f8Merge pull request #20680 from charris/backport-20663794b36fUpdate armccompiler.pyd93b14eUpdate test_public_api.py7662c07Update init.py311ab52Update armccompiler.pyUpdates
torchfrom 1.3.0 to 1.13.1Release notes
Sourced from torch's releases.
... (truncated)
Changelog
Sourced from torch's changelog.
... (truncated)
Commits
49444c3[BE] Do not package caffe2 in wheel (#87986) (#90433)56de8a3Add manual cuda deps search logic (#90411) (#90426)a4d16e0Fix ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops (#88504) (#90104)80abad3Handle Tensor.deepcopy via clone(), on IPU (#89129) (#89999)73a852a[Release only change] Fix rocm5.1.1 docker image (#90321)029ec16Add platform markers for linux only extra_install_requires (#88826) (#89924)197c5c0Fix cuda/cpu check on NoneType (#88854) (#90068)aadbeb7Make TorchElastic timer importable on Windows (#88522) (#90045)aa94433Mark IPU device as not supports_as_strided (#89130) (#89998)59b4f3bUse the Python frame safely in _pythonCallstack (#89997)Updates
pillowfrom 8.3.2 to 10.3.0Release notes
Sourced from pillow's releases.
... (truncated)
Changelog
Sourced from pillow's changelog.
... (truncated)
Commits
5c89d8810.3.0 version bump63cbfcfUpdate CHANGES.rst [ci skip]2776126Merge pull request #7928 from python-pillow/lcmsaeb51cbMerge branch 'main' into lcms5beb0b6Update CHANGES.rst [ci skip]cac6ffaMerge pull request #7927 from python-pillow/imagemathf5eeeacName as 'options' in lambda_eval and unsafe_eval, but '_dict' in deprecated evalfacf3afAdded release notes2a93abaUse strncpy to avoid buffer overflowa670597Update CHANGES.rst [ci skip]Updates
numpyfrom 1.18.1 to 1.22.0Release notes
Sourced from numpy's releases.
... (truncated)
Commits
4adc87dMerge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547REL: Prepare for the NumPy 1.22.0 release.125304bwipc283859Merge pull request #20682 from charris/backport-204165399c03Merge pull request #20681 from charris/backport-20954f9c45f8Merge pull request #20680 from charris/backport-20663794b36fUpdate armccompiler.pyd93b14eUpdate test_public_api.py7662c07Update init.py311ab52Update armccompiler.pyUpdates
pillowfrom 7.0.0 to 10.3.0Release notes
Sourced from pillow's releases.