The science behind TorchNeuron, Amazon’s new PyTorch backend for AWS Trainium chips

PyTorch is the one framework that most AI developers use to build their models. It’s a Python library of operations performed on tensors, higher-dimensional analogues of a matrix, or 2-D grid of numbers. Almost all of the crucial features of contemporary AI models, such as input data, model weights, and attention mechanisms, are represented by tensors, and PyTorch drastically simplifies writing code to manipulate them. This week, we announced the availability of TorchNeuron, an open-source backend that translates PyTorch code into operations executable on AWS Trainium systems. PyTorch code that already runs on other accelerators will run on Trainium with minimal or no code changes. TorchNeuron bridges PyTorch and Trainium, and both sides gain from it. PyTorch developers can now run their code on Trainium, which was built from the…