# optimizer
optimizer = dict(
    type='SGD', lr=0.01, momentum=0.9,
    weight_decay=0.0001)  # this lr is used for 8 gpus
optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2))
# learning policy
lr_config = dict(
    policy='step',
    step=[90, 130],
    warmup='linear',
    warmup_by_epoch=True,
    warmup_iters=10)
total_epochs = 150

# optimizer
optimizer = dict(
    type='SGD', lr=0.01, momentum=0.9,
    weight_decay=0.0001)  # this lr is used for 8 gpus
optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2))
# learning policy
lr_config = dict(
    policy='step',
    step=[90, 130],
    warmup='linear',
    warmup_by_epoch=True,
    warmup_iters=10)
total_epochs = 150

# optimizer # this lr is used for 8 gpus # learning policy