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@ -18,7 +18,9 @@ after each processed batch and the corresponding loss is logged. The result of
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this is a `lr` vs. `loss` plot that can be used as guidance for choosing a optimal
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initial lr.
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.. warning:: For the moment, this feature only works with models having a single optimizer.
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Warnings:
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- For the moment, this feature only works with models having a single optimizer.
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- LR support for DDP is not implemented yet, it is comming soon.
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Using Lightnings build-in LR finder
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -71,7 +71,7 @@ a binary search.
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.. warning::
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Due to these contrains, this features does *NOT* work when passing dataloaders directly
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Due to these constraints, this features does *NOT* work when passing dataloaders directly
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to `.fit()`.
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The scaling algorithm has a number of parameters that the user can control by
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@ -107,3 +107,5 @@ The algorithm in short works by:
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.. autoclass:: pytorch_lightning.trainer.training_tricks.TrainerTrainingTricksMixin
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:members: scale_batch_size
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:noindex:
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.. warning:: Batch size finder is not supported for DDP yet, it is coming soon.
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