Weekly GitHub Report for Tensorflow: May 26, 2025 - June 02, 2025 (12:08:06)
Weekly GitHub Report for Tensorflow
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Table of Contents
I. News
1.1 Recent Version Releases:
The current version of this repository is v2.19.0
1.2 Version Information:
The TensorFlow 2.19.0 release, created on March 5, 2025, introduces breaking changes in the LiteRT (tf.lite) C++ and Python APIs, including the transition of tf.lite.Interpreter to a new location ahead of its planned removal in version 2.20. Additionally, the update enhances the tfl.Cast operation to support bfloat16 in the runtime kernel, and ceases the publication of libtensorflow packages, though they remain accessible via PyPI.
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.
- TF-TRT Warning: Could not find TensorRT: This issue involves a user experiencing difficulties with TensorFlow on an Ubuntu 22.04 system, where the TensorRT library cannot be found despite multiple installation attempts. The user, a graduate student, is facing challenges with the NVIDIA driver compatibility for their RTX 3050 TI GPU, which is impacting their ability to focus on their Machine Learning coursework.
SystemErrorintf.ensure_shapeandtf.compat.v1.ensure_shapewhendtypeofshapeistf.uint64and its value is too large.: This issue involves a bug in TensorFlow where usingtf.ensure_shapeortf.compat.v1.ensure_shapewith ashapeofdtypetf.uint64and a value close to 2^64 results in aSystemErrorandOverflowError. The problem occurs specifically when the shape is defined with large values, such astf.constant([18446743219011059112, 1], dtype=tf.uint64), causing these errors in eager execution mode.- Feature Request: Integrate different Digital Signal Processing into tf.signal: This issue is a feature request to integrate advanced Digital Signal Processing (DSP) functionalities into TensorFlow's
tf.signalmodule, similar to those available in the PyTorch ecosystem, particularly from the julius library. The request highlights the need for native tools within TensorFlow to perform complex audio data augmentation, which would enhance model generalization and streamline workflows for researchers and developers working on audio-related projects. - [DOCS] Missing complex input for Round op: This issue highlights a documentation bug in TensorFlow version 2.15.0, where the official documentation incorrectly states that the
Roundoperation can accept a complex tensor as input. The user reports that attempting to use a complex tensor with theRoundoperation results in an error, requiring them to separately apply the operation to the real and imaginary parts of the tensor to achieve the expected outcome. - tf.raw_ops.Unbatch aborts with "Check failed: d < dims()": This issue involves a bug in TensorFlow version 2.17 where the
tf.raw_ops.Unbatchoperation aborts unexpectedly with an error message "Check failed: d < dims()". The problem has been reproduced using TensorFlow Nightly on a Linux Ubuntu 20.04.3 LTS system with Python 3.11.8, and it occurs when executing a specific standalone code snippet that utilizes random tensor operations.
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: 0
As of our latest update, there are no closed pull requests for the project this week.
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.
As of our last update, there are no open or closed pull requests with discussions going on within 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.
If there are more than 10 active contributors, the list is truncated to the top 10 based on contribution metrics for better clarity.
| Contributor | Commits | Pull Requests | Issues | Comments |
|---|---|---|---|---|
| mihaimaruseac | 0 | 0 | 0 | 24 |
| Redempt1onzzZZ | 1 | 0 | 9 | 12 |
| Venkat6871 | 0 | 0 | 0 | 21 |
| ShengDong207 | 0 | 0 | 19 | 0 |
| SilentTester73 | 0 | 0 | 12 | 1 |
| SwuduSusuwu | 0 | 0 | 2 | 8 |
| cx104906 | 0 | 0 | 6 | 1 |
| MichaelHudgins | 5 | 1 | 0 | 0 |
| KAVYANSHTYAGI | 5 | 0 | 0 | 1 |
| RahulSundarMCW | 4 | 1 | 0 | 0 |