Google's Tensor Processing Units (TPUs) require a software stack that meets demands for performance, hardware portability, and reliability, leading to the development of TorchTPU, a PyTorch integration for native and efficient TPU usage. TorchTPU achieves this through its "Eager First" philosophy, Fused Eager mode, and native support for custom kernels, ensuring a seamless and ...