Weekly GitHub Report for Pytorch: May 18, 2026 - May 25, 2026 (14:15:44)
Weekly GitHub Report for Pytorch
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Table of Contents
I. News
1.1 Recent Version Releases:
The current version of this repository is v2.6.0
1.2 Version Information:
Released on January 29, 2025, PyTorch 2.6 introduces significant enhancements including torch.compile support for Python 3.13, a new performance control API torch.compiler.set_stance, and improved AOTInductor packaging and ABI compatibility. Notable highlights also include FP16 support on X86 CPUs, expanded Intel GPU support, and a backward-incompatible security improvement flipping the default weights_only parameter in torch.load, alongside numerous bug fixes, performance optimizations, and deprecations such as the discontinuation of official Conda packages.
II. Issues
2.1 Top 5 Active Issues:
We consider active issues to be issues that that have been commented on most frequently within the last week. Bot comments are omitted.
As of our latest update, there are no active issues with ongoing comments this week.
2.2 Top 5 Stale Issues:
We consider stale issues to be issues that has had no activity within the last 30 days. The team should work together to get these issues resolved and closed as soon as possible.
As of our latest update, there are no stale issues for the project this week.
2.3 Open Issues
This section lists, groups, and then summarizes issues that were created within the last week in the repository.
Issues Opened This Week: 0
Summarized Issues:
As of our latest update, there are no open issues for the project this week.
2.4 Closed Issues
This section lists, groups, and then summarizes issues that were closed within the last week in the repository. This section also links the associated pull requests if applicable.
Issues Closed This Week: 0
Summarized Issues:
As of our latest update, there were no issues closed in the project this week.
2.5 Issue Discussion Insights
This section will analyze the tone and sentiment of discussions within this project's open and closed issues that occurred within the past week. It aims to identify potentially heated exchanges and to maintain a constructive project environment.
As of our last update, there are no open or closed issues with discussions going on within the past week.
III. Pull Requests
3.1 Open Pull Requests
This section provides a summary of pull requests that were opened in the repository over the past week. The top three pull requests with the highest number of commits are highlighted as 'key' pull requests. Other pull requests are grouped based on similar characteristics for easier analysis. Up to 25 pull requests are displayed in this section, while any remaining pull requests beyond this limit are omitted for brevity.
Pull Requests Opened This Week: 0
As of our latest update, there are no open pull requests for the project this week.
3.2 Closed Pull Requests
This section provides a summary of pull requests that were closed in the repository over the past week. The top three pull requests with the highest number of commits are highlighted as 'key' pull requests. Other pull requests are grouped based on similar characteristics for easier analysis. Up to 25 pull requests are displayed in this section, while any remaining pull requests beyond this limit are omitted for brevity.
Pull Requests Closed This Week: 4
Key Closed Pull Requests
1. [DO NOT MERGE][DO NOT TOUCH][ROCm] Triton 3.7 ROCm Cherry-pick Test: This pull request is a test cherry-pick for integrating the ROCm-specific Triton 3.7 fork into the PyTorch project, involving updates to the Triton commits and explicitly marked as not to be merged or modified.
- URL: pull/178958
2. [ROCm] Fix ROCm 7.2.0 SIGSEGV by rebuilding CLR and ROCR from 7.2.1: This pull request addresses two critical bugs in ROCm 7.2.0 that cause SIGSEGV errors during GPU kernel dispatches by rebuilding the CLR (libamdhip64) and ROCR (libhsa-runtime64) components from the fixed 7.2.1 release branch within the existing installation script, ensuring compatibility and stability until ROCm 7.2.1 is officially integrated in continuous integration.
- URL: pull/177873
3. xpu: enable dpclang sycl compiler: This pull request enables minimal support for the open source dpclang SYCL compiler in the PyTorch build system on Linux, specifically targeting Ubuntu 26.04 LTS, to advance towards a fully open source PyTorch stack for XPU, while noting current limitations with Kineto, XCCL, oneMKL, SYCL-TLA, and oneDNN integrations that will be addressed in future patches.
- URL: pull/179763
- Associated Commits: 40118
- Associated Commits: 40118
Other Closed Pull Requests
- Test Refactoring for Device Genericity: This pull request refactors the
test/dynamo/test_modes.pyfile to replace the hardcodedGPU_TYPEconstant with thetorch.acceleratorAPI, enabling the tests to run on all accelerator types. It removes GPU-specific imports and decorators, substitutesGPU_TYPEwith a dynamicdevice_typevariable, and adds runtime checks for accelerator availability to ensure broader compatibility. - pull/179893
3.3 Pull Request Discussion Insights
This section will analyze the tone and sentiment of discussions within this project's open and closed pull requests that occurred within the past week. It aims to identify potentially heated exchanges and to maintain a constructive project environment.
Based on our analysis, there are no instances of toxic discussions in the project's open or closed pull requests from the past week.
IV. Contributors
4.1 Contributors
Active Contributors:
We consider an active contributor in this project to be any contributor who has made at least 1 commit, opened at least 1 issue, created at least 1 pull request, or made more than 2 comments in the last month.
As of our latest update, there are no active contributors for the project this week.