TorchAx: PyTorch on JAX/TPU Bridge

torchax is a library that serves as a backend for PyTorch, enabling users to run PyTorch programs on JAX-supported hardware like Google Cloud TPUs. It provides seamless graph-level interoperability, allowing the mixing of JAX and PyTorch syntax within the same program, and leveraging JAX features such as `jax.grad`, Optax, and GSPMD for PyTorch model training. The current version is 0.0.11, with development active on GitHub.