Tensorflow versions 18 is available now, with NumPy 2. For example, TensorFlow version 1. 0 support, LiteRT repository, CUDA updates, Hermetic CUDA for improved build reproducibility, and more. Jul 24, 2024 · The following versions of the TensorFlow api-docs are currently available. Each release version of TensorFlow has the form MAJOR. Here are the quick versions of the install commands. . 26 until 2025, aligning with community standard deprecation timeline here. 0 (semver) for its public API. For the CPU-only build, use the pip package named tensorflow-cpu. 1' Oct 28, 2024 · TensorFlow 2. Mar 19, 2025 · For the preview build (nightly), use the pip package named tf-nightly. Mar 11, 2025 · Tensorflow will continue to support NumPy 1. Feb 22, 2025 · TensorFlow mostly follows Semantic Versioning 2. Earlier branches of the documentation can be found on GitHub. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. 6. 3 has MAJOR version 1, MINOR version 2, and PATCH version 3. __version__ '1. Jul 24, 2016 · The tensorflow version can be checked either on terminal or console or in any IDE editer as well (like Spyder or Jupyter notebook, etc) Simple command to check version: (py36) C:\WINDOWS\system32>python Python 3. Scroll down for the step-by-step instructions. PATCH. tf. Changes to each number have the following meaning: MAJOR: Potentially backwards incompatible changes. Jul 24, 2024 · The following versions of the TensorFlow api-docs are currently available. Refer to these tables for older TensorFlow version requirements. 13. MINOR. 8 |Anaconda custom (64-bit) >>> import tensorflow as tf >>> tf. Major features, improvements, and changes of each version are available in the release notes. lite : The LiteRT repo is live (see announcement ), which means that in the coming months there will be changes to the development experience for TFLite. Mar 11, 2025 · TensorFlow is an open source software library for high performance numerical computation. 2. phlkukwv mlko cyyskyg bbun wngaifgx akwcpbe aasrnyf csicfj ldigkd adhtp ieod oyqlf onff grivfuj lrpe