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Automatically and linearly scale the learning rate of the SSL encoder to the number of GPUS#667
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fepegar
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LGTM in general, I just added some questions.
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The learning rate is now linearly scaled by the number of GPUs available, e.g., lr = 0.001, 8 GPUs are available => lr=0.008.
I tested it for SimCLR and BYOL (https://ml.azure.com/experiments/id/81fa8775-1a25-47ae-9fe7-c13a6b91a421?wsid=/subscriptions/db9fc1d1-b44e-45a8-902d-8c766c255568/resourceGroups/innereyerg/providers/Microsoft.MachineLearningServices/workspaces/innereye4ws&tid=72f988bf-86f1-41af-91ab-2d7cd011db47).
In both cases the results are as expected:
I did not add any test since we have these two tests already: test_simclr_num_gpus() and test_simclr_num_nodes()