# optimizer | |
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) | |
optimizer_config = dict(grad_clip=None) | |
# learning policy | |
lr_config = dict( | |
policy='step', | |
warmup='linear', | |
warmup_iters=500, | |
warmup_ratio=0.001, | |
step=[8, 11]) | |
runner = dict(type='EpochBasedRunner', max_epochs=12) | |