bbox_loss missing during traing the pgd model on waymo dataset.

[hanssssssss]

I used config file pgd_r101_fpn-head_dcn_16xb3_waymoD5-fov-mono3d.py and during training, I found that I could not see the bbox_loss on the log file. But the bbox_loss is defined in the config file as:

loss_cls=dict( type='mmdet.FocalLoss', use_sigmoid=True, gamma=2.0, alpha=0.25, loss_weight=1.0), loss_bbox=dict( type='mmdet.SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0), loss_dir=dict( type='mmdet.CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_centerness=dict( type='mmdet.CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), use_depth_classifier=True, depth_branch=(256, ), depth_range=(0, 50), depth_unit=10, division='uniform', depth_bins=6, pred_keypoints=True, weight_dim=1, loss_depth=dict( type='UncertainSmoothL1Loss', alpha=1.0, beta=3.0, loss_weight=1.0), loss_bbox2d=dict( type='mmdet.SmoothL1Loss', beta=1.0 / 9.0, loss_weight=0.0), loss_consistency=dict(type='mmdet.GIoULoss', loss_weight=0.0),

[JingweiZhang12]

Please provide more details. You can create an issue. BTW, please check whether you calculate the loss in your model forward.

[hanssssssss]

2022/12/01 09:10:27 - mmengine - INFO - Epoch(train) [10][150/10539] lr: 8.0000e-03 eta: 1 day, 5:21:55 time: 0.6406 data_time: 0.0046 memory: 10087 grad_norm: 5.4908 loss: 2.5810 loss_cls: 0.1693 loss_offset: 0.6267 loss_size: 0.5805 loss_rotsin: 0.1304 loss_dir: 0.2044 loss_depth: 0.2011 loss_kpts: 0.0815 loss_bbox2d: 0.0000 loss_consistency: 0.0000 loss_centerness: 0.5872

Hi, the above is the information from the log file, every loss defined in the config file is shown except the loss_bbox. And I used the original config files provided by you guys(I only modify the batch size and number of gpus). Do you have any idea? Thanks!