Tensorflow versions 6. . Major features, improvements, and changes of each version are available in the release notes. 3 has MAJOR version 1, MINOR version 2, and PATCH version 3. 0 support, LiteRT repository, CUDA updates, Hermetic CUDA for improved build reproducibility, and more. Mar 19, 2025 · For the preview build (nightly), use the pip package named tf-nightly. 1' Oct 28, 2024 · TensorFlow 2. 26 until 2025, aligning with community standard deprecation timeline here. Refer to these tables for older TensorFlow version requirements. 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. For example, TensorFlow version 1. 13. Scroll down for the step-by-step instructions. 2. 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. Mar 11, 2025 · TensorFlow is an open source software library for high performance numerical computation. 18 is available now, with NumPy 2. 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. Jul 24, 2024 · The following versions of the TensorFlow api-docs are currently available. Mar 11, 2025 · Tensorflow will continue to support NumPy 1. PATCH. Earlier branches of the documentation can be found on GitHub. Here are the quick versions of the install commands. Each release version of TensorFlow has the form MAJOR. Feb 22, 2025 · TensorFlow mostly follows Semantic Versioning 2. 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. 0 (semver) for its public API. 8 |Anaconda custom (64-bit) >>> import tensorflow as tf >>> tf. MINOR. For the CPU-only build, use the pip package named tensorflow-cpu. __version__ '1. tf. ylbjn ccdm qimns kive zyqoyts sogobx rtfng oxz uovdp gqegb okblnlv qqtzwqu fbhcbdp bjd spjc