A network written in PyTorch is a Dynamic Computational Graph (DCG). It allows you to do any crazy thing you want to do. Dynamic data structures inside the network.

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...

PyTorch is seeing particularly strong adoption in the automotive industry—where it can be applied to pilot autonomous driving systems from the likes of Tesla and Lyft Level 5.