Five Ways To Increase Your Model Performance Using PyTorch Profiler

We all like speed and want our models to run faster. The faster you can run your models, the further along you can get your models to production. This is where PIP INSTALL TORCH-TB-PROFILER comes in. In this video, we will go over the new PyTorch Profiler release and how you can start leveraging this performance tool. We’ll be covering features like Distributed Training view, Memory view, GPU Utilization Visualization, and Cloud Storage Support. Speaker: Sabrina Smai, PM for PyTorch and ONNX Runtime at Microsoft Resources: PyTorch Profiler 1.9 release: Step by step PyTorch Profiler tutorial: