PyTorch accelerator backend

A PyTorch accelerator backend is a hardware-specific execution layer that optimizes and dispatches tensor operations to devices like GPUs, TPUs, or specialized accelerators to improve training and inference performance.

Instances (1)

• TPUs (via XLA integrations)