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2026-02-24 00:20:18,637 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': './ckpts/resnet50-19c8e357.pth'}
2026-02-24 00:20:19,334 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'}
Name of parameter - Initialization information
pts_bbox_head.code_weights - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_code_weights - torch.Size([4]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.position_range - torch.Size([6]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.pc_range - torch.Size([6]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_query.weight - torch.Size([900, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_reference_points.weight - torch.Size([900, 3]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.0.weight - torch.Size([512, 9]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_cls_embedding.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.0.weight - torch.Size([512, 768]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.agent_ref_embedding.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.mode_embedding.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_query.weight - torch.Size([100, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_reference_points.weight - torch.Size([100, 2]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.0.weight - torch.Size([512, 6]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_cls_embedding.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.0.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.map_ref_embedding.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.0.weight - torch.Size([512, 141]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_lcf_encoder.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_traj_ref_fix_time_embedding.0.weight - torch.Size([512, 1920]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_time_embedding.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_time_embedding.2.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_time_embedding.2.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_time_embedding.4.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_time_embedding.4.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.0.weight - torch.Size([512, 640]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.2.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.2.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.4.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_ref_fix_dist_embedding.4.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.featurized_pe.reduce.0.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.featurized_pe.reduce.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.featurized_pe.gamma.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.featurized_pe.gamma.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.featurized_pe.beta.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.featurized_pe.beta.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.spatial_alignment.reduce.0.weight - torch.Size([512, 8]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.spatial_alignment.reduce.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.spatial_alignment.gamma.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.spatial_alignment.gamma.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.spatial_alignment.beta.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.spatial_alignment.beta.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.time_embedding.0.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.time_embedding.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.time_embedding.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.time_embedding.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.time_embedding.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.time_embedding.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.0.weight - torch.Size([512, 192]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.2.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.2.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.4.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.img_position_encoder.4.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.reduce.0.weight - torch.Size([512, 180]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.reduce.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.gamma.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.gamma.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.beta.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_pe.beta.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_pose_memory.reduce.0.weight - torch.Size([512, 180]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_memory.reduce.0.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_memory.gamma.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_memory.gamma.bias - torch.Size([512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_memory.beta.weight - torch.Size([512, 512]):
Initialized by user-defined `init_weights` in DriveTransformerlHead
pts_bbox_head.ego_pose_memory.beta.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.attentions.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.agent_prep_decoder.layers.0.ffns.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.attentions.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_prep_decoder.layers.0.ffns.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.task_self_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.temporal_cross_attention_layers.2.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.sensor_cross_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.cross_w_q.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.1.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.0.ffns.0.2.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.task_self_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cross_attention_layers.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.1.temporal_cro2026-02-24 00:20:19,392 - DriveTransformer - INFO - Model:
DriveTransformer(
(pts_bbox_head): DriveTransformerlHead(
(loss_cls): FocalLoss()
(loss_bbox): L1Loss()
(loss_traj): L1Loss()
(loss_traj_cls): FocalLoss()
(loss_map_cls): FocalLoss()
(loss_map_pts): PtsL1Loss()
(loss_map_dir): PtsDirCosLoss()
(loss_plan_reg_fix_dist): L1Loss()
(loss_plan_reg_fix_time): L1Loss()
(loss_plan_cls): FocalLoss()
(agent_query): Embedding(900, 512)
(agent_reference_points): Embedding(900, 3)
(agent_cls_embedding): Sequential(
(0): Linear(in_features=9, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(agent_ref_embedding): Sequential(
(0): Linear(in_features=768, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(mode_embedding): Embedding(6, 512)
(map_query): Embedding(100, 512)
(map_reference_points): Embedding(100, 2)
(map_cls_embedding): Sequential(
(0): Linear(in_features=6, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(map_ref_embedding): Sequential(
(0): Linear(in_features=512, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(ego_lcf_encoder): Sequential(
(0): Linear(in_features=141, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(ego_traj_ref_fix_time_embedding): Sequential(
(0): Linear(in_features=1920, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(ego_traj_ref_fix_dist_embedding): Sequential(
(0): Linear(in_features=640, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(featurized_pe): MLN(
(reduce): Sequential(
(0): Linear(in_features=512, out_features=512, bias=True)
(1): SiLU(inplace=True)
)
(gamma): Linear(in_features=512, out_features=512, bias=True)
(beta): Linear(in_features=512, out_features=512, bias=True)
(ln): LayerNorm((512,), eps=1e-05, elementwise_affine=False)
)
(spatial_alignment): MLN(
(reduce): Sequential(
(0): Linear(in_features=8, out_features=512, bias=True)
(1): SiLU(inplace=True)
)
(gamma): Linear(in_features=512, out_features=512, bias=True)
(beta): Linear(in_features=512, out_features=512, bias=True)
(ln): LayerNorm((512,), eps=1e-05, elementwise_affine=False)
)
(time_embedding): Sequential(
(0): Linear(in_features=512, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(img_position_encoder): Sequential(
(0): Linear(in_features=192, out_features=512, bias=True)
(1): SiLU(inplace=True)
(2): Linear(in_features=512, out_features=512, bias=True)
(3): SiLU(inplace=True)
(4): Linear(in_features=512, out_features=512, bias=True)
)
(ego_pose_pe): MLN(
(reduce): Sequential(
(0): Linear(in_features=180, out_features=512, bias=True)
(1): SiLU(inplace=True)
)
(gamma): Linear(in_features=512, out_features=512, bias=True)
(beta): Linear(in_features=512, out_features=512, bias=True)
(ln): LayerNorm((512,), eps=1e-05, elementwise_affine=False)
)
(ego_pose_memory): MLN(
(reduce): Sequential(
(0): Linear(in_features=180, out_features=512, bias=True)
(1): SiLU(inplace=True)
)
(gamma): Linear(in_features=512, out_features=512, bias=True)
(beta): Linear(in_features=512, out_features=512, bias=True)
(ln): LayerNorm((512,), eps=1e-05, elementwise_affine=False)
)
(agent_prep_decoder): DriveTransformerPreDecoder(
(layers): ModuleList(
(0): DriveTransformerPreDecoderLayer(
(attentions): ModuleList(
(0-1): 2 x AttentionLayer(
(w_q): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_k): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_v): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(proj): Linear(in_features=512, out_features=512, bias=True)
(postnorm): Identity()
)
)
(ffns): ModuleList(
(0): SwiGLULayer(
(swiglu): SwiGLU(
(w12): Linear(in_features=512, out_features=2736, bias=True)
(w3): Linear(in_features=1368, out_features=512, bias=True)
)
(prenorm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
(postnorm): Identity()
)
)
)
)
)
(map_prep_decoder): DriveTransformerPreDecoder(
(layers): ModuleList(
(0): DriveTransformerPreDecoderLayer(
(attentions): ModuleList(
(0-1): 2 x AttentionLayer(
(w_q): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_k): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_v): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(proj): Linear(in_features=512, out_features=512, bias=True)
(postnorm): Identity()
)
)
(ffns): ModuleList(
(0): SwiGLULayer(
(swiglu): SwiGLU(
(w12): Linear(in_features=512, out_features=2736, bias=True)
(w3): Linear(in_features=1368, out_features=512, bias=True)
)
(prenorm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
(postnorm): Identity()
)
)
)
)
)
(transformer): DriveTransformerWrapper(
(decoder): DriveTransformerDecoder(
(layers): ModuleList(
(0-5): 6 x DriveTransformerDecoderLayer(
(task_self_attentions): ModuleList(
(0): AttentionLayer(
(w_q): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_k): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_v): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(proj): Linear(in_features=512, out_features=512, bias=True)
(postnorm): Identity()
)
)
(temporal_cross_attention_layers): ModuleList(
(0-2): 3 x AttentionLayer(
(w_q): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_k): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_v): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(proj): Linear(in_features=512, out_features=512, bias=True)
(postnorm): Identity()
)
)
(sensor_cross_attentions): ModuleList(
(0): AttentionLayer(
(w_k): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(w_v): Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
(proj): Linear(in_features=512, out_features=512, bias=True)
(postnorm): Identity()
)
)
(cross_w_q): ModuleList(
(0-2): 3 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
)
)
(ffns): ModuleList(
(0): ModuleList(
(0-2): 3 x SwiGLULayer(
(swiglu): SwiGLU(
(w12): Linear(in_features=512, out_features=2736, bias=True)
(w3): Linear(in_features=1368, out_features=512, bias=True)
)
(prenorm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(dropout): Dropout(p=0.1, inplace=False)
(postnorm): Identity()
)
)
)
)
)
)
)
(cls_branches): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=9, bias=False)
)
)
(reg_branches): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=10, bias=True)
)
)
(traj_branches): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=12, bias=True)
)
)
(traj_cls_branches): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(6): Linear(in_features=512, out_features=1, bias=False)
)
)
(map_cls_branches): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=6, bias=False)
)
)
(map_reg_branches): ModuleList(
(0-5): 6 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=2, bias=True)
)
(6): Linear(in_features=512, out_features=40, bias=True)
)
(ego_traj_branches_fix_dist): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=20, bias=True)
)
)
(ego_traj_branches_fix_time): ModuleList(
(0-6): 7 x Sequential(
(0): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
(1): Linear(in_features=512, out_features=512, bias=True)
(2): SiLU(inplace=True)
(3): Linear(in_features=512, out_features=512, bias=True)
(4): SiLU(inplace=True)
(5): Linear(in_features=512, out_features=60, bias=True)
)
)
)
(img_backbone): ResNet(
(conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
(bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
(layer1): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(1): Bottleneck(
(conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(2): Bottleneck(
(conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
)
(layer2): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(1): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(2): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(3): Bottleneck(
(conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
)
(layer3): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(1): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(2): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(3): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(4): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(5): Bottleneck(
(conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
)
(layer4): ResLayer(
(0): Bottleneck(
(conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
(1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(1): Bottleneck(
(conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
(2): Bottleneck(
(conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
init_cfg={'type': 'Constant', 'val': 0, 'override': {'name': 'norm3'}}
)
)
init_cfg={'type': 'Pretrained', 'checkpoint': './ckpts/resnet50-19c8e357.pth'}
(img_neck): FPN(
(lateral_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1))
)
)
(fpn_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
init_cfg={'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'}
(grid_mask): GridMask()
)
2026-02-24 00:20:19,969 - DriveTransformer - INFO - Start running, host: humble@ysh-4090, work_dir: /home/Humble/Humble/EndtoEnd/Bench2DriveZoo/work_dirs/drivetransformer_goalpoint_1gpu
2026-02-24 00:20:19,969 - DriveTransformer - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(ABOVE_NORMAL) GradientCumulativeFp16OptimizerHook
(NORMAL ) CheckpointHook
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
before_train_epoch:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
before_train_iter:
(VERY_HIGH ) CosineAnnealingLrUpdaterHook
(LOW ) IterTimerHook
--------------------
after_train_iter:
(ABOVE_NORMAL) GradientCumulativeFp16OptimizerHook
(NORMAL ) CheckpointHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
after_train_epoch:
(NORMAL ) CheckpointHook
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
before_val_epoch:
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
before_val_iter:
(LOW ) IterTimerHook
--------------------
after_val_iter:
(LOW ) IterTimerHook
--------------------
after_val_epoch:
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
after_run:
(VERY_LOW ) TextLoggerHook
(VERY_LOW ) TensorboardLoggerHook
--------------------
2026-02-24 00:20:19,969 - DriveTransformer - INFO - workflow: [('train', 1)], max: 60 epochs
2026-02-24 00:20:19,971 - DriveTransformer - INFO - Checkpoints will be saved to /home/Humble/Humble/EndtoEnd/Bench2DriveZoo/work_dirs/drivetransformer_goalpoint_1gpu by HardDiskBackend.
lue is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.2.ffns.0.2.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.2.ffns.0.2.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.2.ffns.0.2.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.2.ffns.0.2.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.2.ffns.0.2.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.task_self_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.temporal_cross_attention_layers.2.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.sensor_cross_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.cross_w_q.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.1.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.3.ffns.0.2.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.task_self_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.temporal_cross_attention_layers.2.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.sensor_cross_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.cross_w_q.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.1.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.4.ffns.0.2.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.task_self_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.1.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_q.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_q.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_q.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_q.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.temporal_cross_attention_layers.2.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_k.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_k.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_k.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_k.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_v.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_v.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_v.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.w_v.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.proj.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.sensor_cross_attentions.0.proj.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.cross_w_q.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.0.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.1.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.swiglu.w12.weight - torch.Size([2736, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.swiglu.w12.bias - torch.Size([2736]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.swiglu.w3.weight - torch.Size([512, 1368]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.swiglu.w3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.prenorm.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.transformer.decoder.layers.5.ffns.0.2.prenorm.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.0.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.1.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.2.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.3.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.4.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.5.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.cls_branches.6.5.weight - torch.Size([9, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.0.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.1.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.2.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.3.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.4.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.5.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.5.weight - torch.Size([10, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.reg_branches.6.5.bias - torch.Size([10]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.0.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.1.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.2.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.3.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.4.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.5.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.5.weight - torch.Size([12, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_branches.6.5.bias - torch.Size([12]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.0.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.1.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.2.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.3.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.4.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.5.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.5.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.5.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.traj_cls_branches.6.6.weight - torch.Size([1, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.0.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.1.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.2.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.3.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.4.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.5.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_cls_branches.6.5.weight - torch.Size([6, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.0.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.1.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.2.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.3.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.4.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.5.weight - torch.Size([2, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.5.5.bias - torch.Size([2]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.6.weight - torch.Size([40, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.map_reg_branches.6.bias - torch.Size([40]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.0.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.1.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.2.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.3.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.4.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.5.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.5.weight - torch.Size([20, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_dist.6.5.bias - torch.Size([20]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.0.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.1.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.2.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.3.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.4.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.5.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.0.weight - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.0.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.1.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.1.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.3.weight - torch.Size([512, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.3.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.5.weight - torch.Size([60, 512]):
The value is the same before and after calling `init_weights` of DriveTransformer
pts_bbox_head.ego_traj_branches_fix_time.6.5.bias - torch.Size([60]):
The value is the same before and after calling `init_weights` of DriveTransformer
img_backbone.conv1.weight - torch.Size([64, 3, 7, 7]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.bn1.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.bn1.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn1.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn1.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn2.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn2.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn3.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.bn3.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.downsample.1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.0.downsample.1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn1.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn1.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn2.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn2.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn3.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.1.bn3.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn1.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn1.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn2.weight - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn2.bias - torch.Size([64]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn3.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer1.2.bn3.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn1.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn1.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn2.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn2.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn3.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.bn3.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.downsample.1.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.0.downsample.1.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn1.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn1.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn2.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn2.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn3.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.1.bn3.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn1.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn1.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn2.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn2.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn3.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.2.bn3.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn1.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn1.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn2.weight - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn2.bias - torch.Size([128]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn3.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer2.3.bn3.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.downsample.1.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.0.downsample.1.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.1.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.2.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.3.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.4.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn1.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn1.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn2.weight - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn2.bias - torch.Size([256]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn3.weight - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer3.5.bn3.bias - torch.Size([1024]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn1.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn1.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn2.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn2.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn3.weight - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.bn3.bias - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.downsample.1.weight - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.0.downsample.1.bias - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn1.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn1.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn2.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn2.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn3.weight - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.1.bn3.bias - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn1.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn1.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn2.weight - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn2.bias - torch.Size([512]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn3.weight - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_backbone.layer4.2.bn3.bias - torch.Size([2048]):
PretrainedInit: load from ./ckpts/resnet50-19c8e357.pth
img_neck.lateral_convs.0.conv.weight - torch.Size([512, 2048, 1, 1]):
XavierInit: gain=1, distribution=uniform, bias=0
img_neck.lateral_convs.0.conv.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer
img_neck.fpn_convs.0.conv.weight - torch.Size([512, 512, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
img_neck.fpn_convs.0.conv.bias - torch.Size([512]):
The value is the same before and after calling `init_weights` of DriveTransformer