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Recently, we have deployed dynolog in our gpu cluster to collect trace files via kineto on-demand profiling. It needs extra efforts to collect trace files dumped to local storage via kineto
for distributed applications. We saw that kineto supports dumping traces files to remote storage in https://github.com/facebookincubator/dynolog/blob/main/docs/pytorch_profiler.md, which is exactly what we want. But there's no other docs or tutorials introduce how to use remote storage. Could you provide an introduction or a tip on how to configure kineto to write trace files to remote storage?
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