Comment by ipsum2
1 day 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.
1 day 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.
What 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.
it'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.
The project looks fairly active, based on the commit history:
https://github.com/tensorflow/tensorflow/commits/master/
It could be the code still stay there, but the direction has been changed.