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# optimizer | |
optimizer = dict(type='SGD', lr=0.08, 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=[80, 128]) | |
# running settings | |
runner = dict(type='EpochBasedRunner', max_epochs=160) | |
checkpoint_config = dict(interval=10) | |