# optimizer | |
optimizer = dict(type="SGD", lr=0.04, 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) | |