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- # training schedule for 2x
- train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=24, val_interval=1)
- val_cfg = dict(type='ValLoop')
- test_cfg = dict(type='TestLoop')
- # learning rate
- param_scheduler = [
- dict(
- type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
- dict(
- type='MultiStepLR',
- begin=0,
- end=24,
- by_epoch=True,
- milestones=[16, 22],
- gamma=0.1)
- ]
- # optimizer
- optim_wrapper = dict(
- type='OptimWrapper',
- optimizer=dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001))
- # Default setting for scaling LR automatically
- # - `enable` means enable scaling LR automatically
- # or not by default.
- # - `base_batch_size` = (8 GPUs) x (2 samples per GPU).
- auto_scale_lr = dict(enable=False, base_batch_size=16)
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