Weekly GitHub Report for Tensorflow: June 02, 2025 - June 09, 2025 (12:03:56)
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
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 tfl.Cast
op to support bfloat16
in the runtime kernel and discontinues 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 suspects that the problem may be related to the NVIDIA driver version, as they are using a 535 driver instead of the automatically installed 550 driver, and they are seeking assistance to resolve this issue to focus on their Machine Learning coursework.
SystemError
intf.ensure_shape
andtf.compat.v1.ensure_shape
whendtype
ofshape
istf.uint64
and its value is too large.: This issue describes a bug in TensorFlow where usingtf.ensure_shape
ortf.compat.v1.ensure_shape
with ashape
ofdtype
tf.uint64
and a value close to 2^64 results in aSystemError
andOverflowError
. The problem occurs specifically in eager mode, as demonstrated by the exampleshape = tf.constant([18446743219011059112, 1], dtype=tf.uint64)
, and has been reproduced with TensorFlow Nightly on a Linux Ubuntu 20.04 system using Python 3.10.- 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 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's
Round
operation, where the official documentation incorrectly states that a complex tensor can be directly used as input for the operation. The user reports that attempting to use a complex tensor results in an error, and they must separately apply theRound
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 pertains to a bug in TensorFlow version 2.17, where the
tf.raw_ops.Unbatch
operation aborts unexpectedly with an error message indicating a failed check on tensor dimensions. The problem has been reproduced using TensorFlow Nightly on a Linux Ubuntu 20.04.3 LTS system with Python 3.11.8, and involves a specific standalone code snippet that triggers the error.
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 |
Venkat6871 | 0 | 0 | 0 | 20 |
ShengDong207 | 0 | 0 | 19 | 0 |
SilentTester73 | 0 | 0 | 12 | 1 |
Redempt1onzzZZ | 0 | 0 | 4 | 8 |
SwuduSusuwu | 0 | 0 | 2 | 8 |
cx104906 | 0 | 0 | 6 | 1 |
MichaelHudgins | 5 | 1 | 0 | 0 |
KAVYANSHTYAGI | 5 | 0 | 0 | 0 |
harshithn31 | 2 | 1 | 1 | 0 |