For example, a dynamic neural network model in PyTorch may add and remove hidden layers during training to improve its accuracy and generality. PyTorch recreates the graph on the fly at each ...

Known for its flexibility, ease of use, and GPU acceleration, PyTorch is widely adopted in both research and industry. Its dynamic computation graph helps ... AI models to function on mobile ...

Graph fusion is a capability that reduces the volume of communications needed between the CPU and GPU to help accelerate inference. Ganti explained that kernel optimization in PyTorch is all about ...

Now with all major cloud and chip vendors on board, PyTorch 1.0 could become the foundation for new types of models to emerge given that developers are already familiar with a lot of those practices.