Update Torch Elastic documentation #8248
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kaushikb11
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awaelchli,
Borda,
edenlightning and
tchaton
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Codecov Report
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edenlightning
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Jul 1, 2021
ananthsub
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Jul 1, 2021
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| Torch Distributed Elastic | ||
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| Lightning supports the use of Torch Distributed Elastic to enable fault-tolerant and elastic distributed job scheduling. To use it, specify the 'ddp' or 'ddp2' backend and the number of gpus you want to use in the trainer. | ||
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| .. code-block:: python | ||
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| Trainer(gpus=8, accelerator='ddp') | ||
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| Following the `TorchElastic Quickstart documentation <https://pytorch.org/elastic/latest/quickstart.html>`_, you then need to start a single-node etcd server on one of the hosts: | ||
| To launch a fault-tolerant job, run the following on all nodes. |
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@edenafek - do you think its worth having a dedicated docs section on which schedulers/launchers Lightning supports? This could cover launching with SLURM, torch distributed elastic, etc
Borda
reviewed
Jul 1, 2021
carmocca
reviewed
Jul 1, 2021
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
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What does this PR do?
TorchElastic is now upstream, part of torch.distributed.
Fixes #8243
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