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Runtime error
# optimizer | |
optim_wrapper = dict( | |
optimizer=dict(type='SGD', lr=0.8, momentum=0.9, weight_decay=5e-5)) | |
# learning policy | |
param_scheduler = [ | |
dict(type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=5), | |
dict(type='CosineAnnealingLR', T_max=95, by_epoch=True, begin=5, end=100) | |
] | |
# train, val, test setting | |
train_cfg = dict(by_epoch=True, max_epochs=100, val_interval=1) | |
val_cfg = dict() | |
test_cfg = dict() | |
# NOTE: `auto_scale_lr` is for automatically scaling LR, | |
# based on the actual training batch size. | |
auto_scale_lr = dict(base_batch_size=1024) | |