Description
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 session, we will go over the new PyTorch Profiler release features 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.
Who is it aimed at?
Anyone interested in AI development
Why should you attend?
Learn more about the work Facebook & Microsoft and how it helps users optimize their model performance.
Prerequisites
Please Install torch-tb-profiler
Instructor's Bio
Sabrina Smai
Product Manager at Microsoft
She works with all things PyTorch and ONNX Runtime.
Webinar
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1
ON-DEMAND WEBINAR: Five ways to Increase your Model Performance using PyTorch Profiler
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Ai+ Training
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Webinar recording
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