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BYOL: add lr scheduler #148

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Aug 5, 2020
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BYOL: add lr scheduler #148

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9 changes: 5 additions & 4 deletions pl_bolts/models/self_supervised/byol/byol_module.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
from pl_bolts.datamodules import CIFAR10DataModule, STL10DataModule, ImagenetDataModule
from pl_bolts.models.self_supervised.simclr.simclr_transforms import SimCLREvalDataTransform, SimCLRTrainDataTransform
from pl_bolts.optimizers.layer_adaptive_scaling import LARS
from pl_bolts.optimizers.lr_scheduler import LinearWarmupCosineAnnealingLR
from pl_bolts.models.self_supervised.byol.models import SiameseArm
from pl_bolts.callbacks.self_supervised import BYOLMAWeightUpdate

Expand All @@ -14,7 +15,7 @@ class BYOL(pl.LightningModule):
def __init__(self,
datamodule: pl.LightningDataModule = None,
data_dir: str = './',
learning_rate: float = 0.00006,
learning_rate: float = 0.2,
weight_decay: float = 0.0005,
input_height: int = 32,
batch_size: int = 32,
Expand Down Expand Up @@ -153,9 +154,9 @@ def validation_step(self, batch, batch_idx):
return result

def configure_optimizers(self):
optimizer = LARS(self.parameters(), lr=self.hparams.learning_rate)
# TODO: add scheduler - cosine decay
return optimizer
optimizer = LARS(self.parameters(), lr=self.hparams.learning_rate, weight_decay=0.000015)
scheduler = LinearWarmupCosineAnnealingLR(optimizer, warmup_epochs=10, max_epochs=1000)
return [optimizer], [scheduler]

@staticmethod
def add_model_specific_args(parent_parser):
Expand Down