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sweep.yaml
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sweep.yaml
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method: bayes
metric:
goal: minimize
name: Wall Time
parameters:
batch_size:
distribution: categorical
values:
- 24
- 12
- 8
- 4
data_cropsize:
distribution: categorical
values:
- None
data_dir:
distribution: categorical
values:
- DRIVE2CH
data_module:
distribution: categorical
values:
- dataset_CLAHE
- dataset_ACLAHE
- dataset_CE
data_padsize:
distribution: categorical
values:
- None
data_patchsize:
distribution: categorical
values:
- 224224
- 256256
- 320320
- 384384
lossfn:
distribution: categorical
values:
- skel_FocalLoss
- CELoss
- DiceCELoss
net_baysian:
distribution: categorical
values:
- "true"
- "false"
net_encoder_name:
distribution: categorical
values:
- se_resnet152
- densenet161
- timm-regnety_160
- resnet50
net_name:
distribution: categorical
values:
- smp_unet
- smp_unetRecHard
- smp_unetRecSoft
net_norm:
distribution: categorical
values:
- batch
- group
- instance
precision:
distribution: categorical
values:
- 32
- 16
project:
distribution: categorical
values:
- Retina
program: train.py