Training models on accelerators with JAX and Flax differs slightly from training with CPU. For instance, the data needs to be replicated in the different devices when using multiple accelerators. After that, we need to execute the training on multiple devices and aggregate the results. Flax supports TPU and GPU

Flax is a neural network library for JAX. JAX is a Python library that provides high-performance computing in machine learning research. JAX provides an API similar to NumPy making it easy to adopt. JAX also includes other functionalities for improving machine learning research. They include: * Automatic differentiation. JAX supports forward