Weekly GitHub Report for Tensorflow: June 30, 2025 - July 07, 2025 (12:03:03)

Weekly GitHub Report for Tensorflow

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Table of Contents

• I. News
  • 1.1. Recent Version Releases
  • 1.2. Other Noteworthy Updates
• II. Issues
  • 2.1. Top 5 Active Issues
  • 2.2. Top 5 Stale Issues
  • 2.3. Open Issues
  • 2.4. Closed Issues
  • 2.5. Issue Discussion Insights

• III. Pull Requests
  • 3.1. Open Pull Requests
  • 3.2. Closed Pull Requests
  • 3.3. Pull Request Discussion Insights

• IV. Contributors
  • 4.1. Contributors

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) API, including the transition of certain C++ constants to const references for improved compatibility and a deprecation warning for the tf.lite.Interpreter Python API, which will be removed in version 2.20. Notable improvements include support for bfloat16 in the tfl.Cast operation, and the discontinuation of publishing 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.

1. TF-TRT Warning: Could not find TensorRT: This issue involves a user experiencing difficulties with TensorFlow on an Ubuntu 22.04 system, specifically encountering a "Could not find TensorRT" warning while attempting to run TensorFlow with a GeForce RTX 3050 TI GPU. The user has tried various troubleshooting steps, including uninstalling and reinstalling drivers, but continues to face challenges, particularly due to driver compatibility issues with the NVIDIA 550 driver and CUDA version 12.4, which is impacting their ability to focus on their Machine Learning coursework.
2. SystemError in tf.ensure_shape and tf.compat.v1.ensure_shape when dtype of shape is tf.uint64 and its value is too large.: This issue involves a bug in TensorFlow where using tf.ensure_shape or tf.compat.v1.ensure_shape with a shape of dtype tf.uint64 and a value close to 2^64 results in a SystemError and OverflowError. The problem occurs specifically when the shape is set to a large value, such as tf.constant([18446743219011059112, 1], dtype=tf.uint64), causing these APIs to fail in eager execution mode.
3. 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.signal module, similar to those available in the PyTorch ecosystem, particularly the julius library. The request highlights the need for native tools within TensorFlow to perform complex audio data augmentation, which would enhance the capabilities for building robust audio recognition and processing models by streamlining workflows and reducing reliance on external libraries.
4. [DOCS] Missing complex input for Round op: This issue highlights a documentation bug in TensorFlow's Round operation, where the official documentation incorrectly states that a complex tensor can be used as input, but in practice, this results in an error unless the operation is applied separately to the real and imaginary parts. The user has reproduced this inconsistency using TensorFlow version 2.15.0 on MacOS Sonoma, and the error log indicates that the Round operation does not support complex data types on the available devices, contrary to what the documentation suggests.
5. 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.Unbatch operation 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.

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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.

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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
Venkat6871	2	0	0	9
gaikwadrahul8	0	0	0	7
Tai78641	4	2	0	0
xin486946	0	0	3	3
KAVYANSHTYAGI	3	2	0	0
mihaimaruseac	2	0	0	2
hitbuyi	0	0	1	3
mohiuddin-khan-shiam	2	1	0	0
shubhk18	3	0	0	0
salim-nibouche	0	0	1	2