# training schedule for 20e
train_cfg = dict(by_epoch=True, max_epochs=20)
val_cfg = dict(interval=1)
test_cfg = dict()

# learning rate
param_scheduler = [
    dict(
        type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
    dict(
        type='MultiStepLR',
        begin=0,
        end=20,
        by_epoch=True,
        milestones=[16, 19],
        gamma=0.1)
]

# optimizer
optim_wrapper = dict(
    type='OptimWrapper',
    optimizer=dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001))

# training schedule for 20e
train_cfg = dict(by_epoch=True, max_epochs=20)
val_cfg = dict(interval=1)
test_cfg = dict()

# learning rate
param_scheduler = [
    dict(
        type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
    dict(
        type='MultiStepLR',
        begin=0,
        end=20,
        by_epoch=True,
        milestones=[16, 19],
        gamma=0.1)
]

# optimizer
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
