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What’s New in PyTorch Profiler 1.9? | PyTorch

pytorch.org · 2,312 words · saved by 1 readers

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

PyTorch Profiler v1.9 has been released! The goal of this new release (previous PyTorch Profiler release ) is to provide you with new state-of-the-art tools to help diagnose and fix machine learning performance issues regardless of whether you are working on one or numerous machines. The objective is to target the execution steps that are the most costly in time and/or memory, and visualize the work load distribution between GPUs and CPUs. Here is a summary of the five major features being released: Distributed Training View : This helps you understand how much time and memory is consumed in y

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