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Why? TensorFlow has been abandoned by Google. Open source uses PyTorch, and internally at Google, all new model development is done in Jax. Only TensorFlow-Serv
by ipsum2 2y ago
Why? TensorFlow has been abandoned by Google. Open source uses PyTorch, and internally at Google, all new model development is done in Jax. Only TensorFlow-Serving and tfdata are still used parts of TensorFlow.
- mindcrime 2y agoThe project looks fairly active, based on the commit history: https://github.com/tensorflow/tensorflow/commits/master/ https://github.com/tensorflow/tensorflow/commits/master/
- scw 2y agoStill active, but many fewer resources than in the past. Many backends like CUDA for Windows have been dropped and others pushed off to partners with varying levels of support. TensorFlow 2.19 is going to release soon without Python 3.13 support, it's hard not to imagine that resource constraints are at play.
- ototot 2y agoIt could be the code still stay there, but the direction has been changed.
- saidinesh5 2y agoWhat about embedded/mobile environments? Are these other APIs as good as leveraging the hardware accelerators via hardware vendor provided drivers as tensorflow these days? (For nnapi etc ...). I haven't touched these apis recently but back in 2020 or so the easiest way to use models like yolo was via tflite on those systems.
- synergy20 2y agoit's not abandoned nor deprecated, google still depends on it to run the models in production. Google just splits the model development into JAX. They're companions to each other and equally important down the road.
- ipsum2 2y agoDid you read the last sentence?