# optimizer
optimizer = dict(type='Adadelta', lr=1.0)
optimizer_config = dict(grad_clip=dict(max_norm=0.5))
# learning policy
lr_config = dict(policy='step', step=[8, 10, 12])
total_epochs = 16

# optimizer
optimizer = dict(type='Adadelta', lr=1.0)
optimizer_config = dict(grad_clip=dict(max_norm=0.5))
# learning policy
lr_config = dict(policy='step', step=[8, 10, 12])
total_epochs = 16

# optimizer # learning policy