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PROFILING AND OPTIMIZING PYTORCH APPLICATIONS WITH THE PYTORCH PROFILER | SABRINA SMAI
PyTorch Profiler is a tool that allows the collection of the performance metrics during the training and inference. The Profiler's context API can be used to better understand what model operators are the most expensive, examine their input shapes and stack traces, study device kernel activity and visualize the execution trace. In this talk ...
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