tensorflow 2.17.0
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TensorFlow is an open source machine learning framework for everyone.
Contents
TensorFlow is an open source machine learning framework for everyone.
Stars: 186007, Watchers: 186007, Forks: 74245, Open Issues: 5343The tensorflow/tensorflow
repo was created 8 years ago and the last code push was 4 hours ago.
The project is extremely popular with a mindblowing 186007 github stars!
How to Install tensorflow
You can install tensorflow using pip
pip install tensorflow
or add it to a project with poetry
poetry add tensorflow
Package Details
- Author
- Google Inc.
- License
- Apache 2.0
- Homepage
- https://www.tensorflow.org/
- PyPi:
- https://pypi.org/project/tensorflow/
- GitHub Repo:
- https://github.com/tensorflow/tensorflow
Classifiers
- Scientific/Engineering
- Scientific/Engineering/Artificial Intelligence
- Scientific/Engineering/Mathematics
- Software Development
- Software Development/Libraries
- Software Development/Libraries/Python Modules
Related Packages
Errors
A list of common tensorflow errors.
Code Examples
Here are some tensorflow
code examples and snippets.
GitHub Issues
The tensorflow package has 5343 open issues on GitHub
- adding additional support for completions related to lazy-loaded modules
- [oneDNN] Removing eager check for mkl specific passes
- [ROCm] Switching Dockerfile.rocm to use python3.9
- TFLite SignatureRunner support for the C API
- LSTM model save warning, Tensorflow 2.7.0
- no attribute '_register_wrapper_optimizer_cls' in python 3.8.12
- Tensorflow restore memory leak
- LSTM slow to calibrate with large observation period
- [ROCm] Update TF to call HipSolver for most LA functions in ROCm 4.5+
- iOS app size increasing
- [TF:TRT] Add NHWC layout support to FusedBatchNorm converter
- [TFLite] Restrict inputs and outputs scaling/zero-point to be the same for the EXPAND_DIMS op
- [TFLite] Check that the SameOperandsAndResultsScale trait of the Maximum/Minimum ops is respected
- Cross compile libtensorflow-lite.a is ok but many undefined reference when link it
- Build failure due to cuda include being required on non-cuda platform