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[legacy] move communication and nn to legacy and refactor logger (#4671)
* [legacy] move communication to legacy (#4640) * [legacy] refactor logger and clean up legacy codes (#4654) * [legacy] make logger independent to gpc * [legacy] make optim independent to registry * [legacy] move test engine to legacy * [legacy] move nn to legacy (#4656) * [legacy] move nn to legacy * [checkpointio] fix save hf config * [test] remove useledd rpc pp test * [legacy] fix nn init * [example] skip tutorial hybriad parallel example * [devops] test doc check * [devops] test doc check
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@@ -5,10 +5,7 @@ Adapted from the pytorch-lamb library at https://github.com/cybertronai/pytorch-
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import torch
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from torch.optim import Optimizer
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from colossalai.legacy.registry import OPTIMIZERS
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@OPTIMIZERS.register_module
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class Lamb(Optimizer):
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r"""Implements Lamb algorithm.
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It has been proposed in `Large Batch Optimization for Deep Learning: Training BERT in 76 minutes`_.
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