Rename 'res' in line 514 to avoid with naming conflict with line 365

liugz18

2024-07-18 d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99

 funasr/schedulers/__init__.py

@@ -6,18 +6,20 @@
from funasr.schedulers.noam_lr import NoamLR
from funasr.schedulers.tri_stage_scheduler import TriStageLR
from funasr.schedulers.warmup_lr import WarmupLR
from funasr.schedulers.lambdalr_cus import CustomLambdaLR

scheduler_choices = dict(
   ReduceLROnPlateau=torch.optim.lr_scheduler.ReduceLROnPlateau,
   lambdalr=torch.optim.lr_scheduler.LambdaLR,
   steplr=torch.optim.lr_scheduler.StepLR,
   multisteplr=torch.optim.lr_scheduler.MultiStepLR,
   exponentiallr=torch.optim.lr_scheduler.ExponentialLR,
   CosineAnnealingLR=torch.optim.lr_scheduler.CosineAnnealingLR,
   noamlr=NoamLR,
   warmuplr=WarmupLR,
   tri_stage=TriStageLR,
   cycliclr=torch.optim.lr_scheduler.CyclicLR,
   onecyclelr=torch.optim.lr_scheduler.OneCycleLR,
   CosineAnnealingWarmRestarts=torch.optim.lr_scheduler.CosineAnnealingWarmRestarts,
)
scheduler_classes = dict(
    ReduceLROnPlateau=torch.optim.lr_scheduler.ReduceLROnPlateau,
    lambdalr=torch.optim.lr_scheduler.LambdaLR,
    steplr=torch.optim.lr_scheduler.StepLR,
    multisteplr=torch.optim.lr_scheduler.MultiStepLR,
    exponentiallr=torch.optim.lr_scheduler.ExponentialLR,
    CosineAnnealingLR=torch.optim.lr_scheduler.CosineAnnealingLR,
    noamlr=NoamLR,
    warmuplr=WarmupLR,
    tri_stage=TriStageLR,
    cycliclr=torch.optim.lr_scheduler.CyclicLR,
    onecyclelr=torch.optim.lr_scheduler.OneCycleLR,
    CosineAnnealingWarmRestarts=torch.optim.lr_scheduler.CosineAnnealingWarmRestarts,
    custom_lambdalr=CustomLambdaLR,
)