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- _base_ = './scnet_x101-64x4d_fpn_20e_coco.py'
- train_dataloader = dict(batch_size=1, num_workers=1)
- optim_wrapper = dict(optimizer=dict(lr=0.01))
- # NOTE: `auto_scale_lr` is for automatically scaling LR,
- # USER SHOULD NOT CHANGE ITS VALUES.
- # base_batch_size = (8 GPUs) x (1 samples per GPU)
- auto_scale_lr = dict(base_batch_size=8)
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