Feb 22, 2025 · This document is for users who need backwards compatibility across different versions of TensorFlow (either for code or data), and for developers who want to modify TensorFlow while preserving compatibility.

Jul 2, 2020 · What you can do is install Keras 2.3.1, which supports TensorFlow 2.x and 1.x, and is the latest real releases of Keras. You can also install Keras 2.2.4 which only supports TensorFlow 1.x. You can install specific versions like this: That configuration can be tricky. How about you use keras inside tensorflow?

Mar 17, 2022 · All versions of Tensorflow (as in, the specific 2.X build for python 3.7 vs the one for 3.10) are equivalent and they can interoperate (models trained in one work in the other without any concern).

Feb 4, 2019 · From the official website: Requires Python 3.4, 3.5, or 3.6 Edit: It looks like Python 3.7 is now supported with TensorFlow 1.13+ Therefore, requires Python 3.4+ for TensorFlow 1.13+

4 days ago · To ensure compatibility with TensorFlow, it is crucial to upgrade your Python version to one that is supported by the latest TensorFlow releases. As of now, TensorFlow officially supports Python versions 3.7 to 3.10.

Nov 19, 2024 · The compatibility between Python and TensorFlow versions is crucial for ensuring stability and full functionality of the library's features. **Python 3.7 to 3.10**: TensorFlow 2.x is fully compatible with Python versions 3.7 to 3.10.

The compatibility of different versions of Python and TensorFlow can be checked using the TensorFlow version compatibility matrix. This matrix provides detailed information about which versions of Python and TensorFlow are compatible with each other.

Jul 26, 2020 · Is there a place that lists which versions of Python are compatible with which versions of Tensorflow? Specifically things like - if I'm understanding correctly - Python 2.7 is only compatible with Tensorflow 1.12 and earlier; and Python 3.7+ is required for Tensorflow 2.1.

Nov 19, 2024 · Verify Compatibility with Python Version: TensorFlow is only compatible with specific versions of Python. Ensure your Python version is supported by consulting the official TensorFlow compatibility guide.

Dec 17, 2024 · The TensorFlow Compat module is specifically designed to help developers transition their code between different releases of TensorFlow seamlessly. It provides a backward compatibility layer that represents a stable API, which means you can run your old scripts with minimal code amendments.