TFRT: A new TensorFlow runtime
https://blog.tensorflow.org/2020/04/tfrt-new-tensorflow-runtime.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjEwP7k7mM3L8q4tIwqNJSYw4TpNiNYr15ctGvyXozJD_cZW5-0YDCSg-dPMwN0jJeXoVN6xohn8M0jdnUprk-p6qWJrOY10-YX3CuokeJkhB5GQcOMtv_E4k5PBjyk3gfXz1fnZzKnVo/s1600/tfrtroleingraph.png April 29, 2020 — Posted by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager
Effective TensorFlow 2.0: Best Practices and What’s Changed
https://blog.tensorflow.org/2019/02/effective-tensorflow-20-best-practices.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnG6dJv4-THd3fvrEqLTs6Z75NLfpP9IBjnnNntRLz-VhvfOgbKl_ZBYWOhIzSQiKuIOIRKpBIhXQtsfFTmKu2a8tsvSIIRF6Cl-QkJJR3Rb2QKBFIPzOQgG-zToE7zU1Orn4o-cau7cM/s1600/1_b4otA55Us-hoI57lqUfplA.png February 13, 2019 — Posted by the TensorFlow Team In a recent article, we mentioned
Speed up TensorFlow Inference on GPUs with TensorRT
https://blog.tensorflow.org/2018/04/speed-up-tensorflow-inference-on-gpus-tensorRT.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg89ciEGdSKLRCQoeHv3mCqvnzV3GSh4pW9u3DJuHVC_a_Gb4wWEJgIEEE9mU6OIhLIhyphenhypheng49vzjjQ5QbPXjZPy5AcsAYEaQFLTtQRaQkJcT61CHGugg3QjogKIBYvVfzYnKtskD2_AZ-G8/s1600/fig1.png April 18, 2018 — Posted by Siddharth Sharma — Technical Product Marketing Manager, NVi
What are Symbolic and Imperative APIs in TensorFlow 2.0?
https://blog.tensorflow.org/2019/01/what-are-symbolic-and-imperative-apis.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjUWHnA_7lacHU7_YN1pyossotQN6g0udFkz7Y8qrFrpI9aTmrikKwiH6m0zLR4cawYIuvkClpO6uIlAJyCHiEGwYVx0vogaXbda9SyKXtgh5c7FbNELTzjwcLBPFFOthhYCwEk1Hv5P8Q/s1600/mentalmodel.png January 29, 2019 — Posted by Josh Gordon One of my favorite things about TensorFlow 2.0 is that it
What’s coming in TensorFlow 2.0
https://blog.tensorflow.org/2019/01/whats-coming-in-tensorflow-2-0.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEih3dh8TfcreBO1iYiVYsVl0KyhxL_Lv77mGLB6xmLDXd4eFd-l9Az9Jx-U2mZRXopNOtJoRGYX8fFk_XdTSGjfVsKKat9erGMcIjOQ-G4ERedqcv7-z4urSJS-0XZrp1SUszOmi7U-GHc/s1600/model.png January 14, 2019 — Posted by the TensorFlow Team Thanks to an incredible and diverse community, TensorFlow has
Standardizing on Keras: Guidance on High-level APIs in TensorFlow 2.0
Posted by Sandeep Gupta, Josh Gordon, and Karmel Allison on behalf of the TensorFlow team TensorFlow is preparing for the release of version 2.0. In this article, we want to preview the direction TensorFlow’s high-level APIs are heading, and answer some frequently asked questions. Keras is an extremely popular high-level API for building and training deep learning models. It’s used for fast protot
Introducing TensorFlow Hub: A Library for Reusable Machine Learning Modules in TensorFlow
Posted by Josh Gordon, Developer Advocate for TensorFlow One of the things that’s so fundamental in software development that it’s easy to overlook is the idea of a repository of shared code. As programmers, libraries immediately make us more effective. In a sense, they change the problem solving process of programming. When using a library, we often think of programming in terms of building block
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Optimizing TF, XLA and JAX for LLM Training on NVIDIA GPUs
TensorFlow Model Optimization Toolkit — Weight Clustering API