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We would like to introduce basic distributed benchmarking support on synthetic data.
The idea is to wrap up single-GPU model on DDP/FSDP, then get them running on conda_mast. The initial OSS distributed userbenchmark could be used as the starting point: https://github.com/pytorch/benchmark/tree/main/userbenchmark/distributed
distributed
The text was updated successfully, but these errors were encountered:
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We would like to introduce basic distributed benchmarking support on synthetic data.
The idea is to wrap up single-GPU model on DDP/FSDP, then get them running on conda_mast.
The initial OSS
distributed
userbenchmark could be used as the starting point:https://github.com/pytorch/benchmark/tree/main/userbenchmark/distributed
The text was updated successfully, but these errors were encountered: