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[legacy] move communication and nn to legacy and refactor logger (#4671)

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* [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
This commit is contained in:
Hongxin Liu
2023-09-11 16:24:28 +08:00
committed by GitHub
parent 536397cc95
commit 554aa9592e
170 changed files with 781 additions and 758 deletions
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4
colossalai/nn/lr_scheduler/multistep.py
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@@ -2,12 +2,9 @@ from typing import List
from torch.optim.lr_scheduler import MultiStepLR as _MultiStepLR
from colossalai.legacy.registry import LR_SCHEDULERS
from .delayed import WarmupScheduler
@LR_SCHEDULERS.register_module
class MultiStepLR(_MultiStepLR):
"""Decays the learning rate of each parameter group by gamma once the
number of epoch reaches one of the milestones. Notice that such decay can
@@ -33,7 +30,6 @@ class MultiStepLR(_MultiStepLR):
super().__init__(optimizer, milestones, gamma=gamma, last_epoch=last_epoch)
@LR_SCHEDULERS.register_module
class MultiStepWarmupLR(WarmupScheduler):
"""Multistep learning rate scheduler with warmup.