Traceback (most recent call last): | 0/928 [00:00<?, ?it/s]
File “train.py”, line 221, in
main()
File “train.py”, line 168, in main
train_model(
File “/home2/kubra/OpenPCDet/tools/train_utils/train_utils.py”, line 150, in train_model
accumulated_iter = train_one_epoch(
File “/home2/kubra/OpenPCDet/tools/train_utils/train_utils.py”, line 52, in train_one_epoch
loss, tb_dict, disp_dict = model_func(model, batch)
File “/home2/kubra/OpenPCDet/tools/…/pcdet/models/init.py”, line 42, in model_func
ret_dict, tb_dict, disp_dict = model(batch_dict)
File “/home/kubra/anaconda3/envs/OpenPCDet/lib/python3.8/site-packages/torch/nn/modules/module.py”, line 889, in _call_impl
result = self.forward(*input, **kwargs)
File “/home2/kubra/OpenPCDet/tools/…/pcdet/models/detectors/pointpillar.py”, line 11, in forward
batch_dict = cur_module(batch_dict)
File “/home/kubra/anaconda3/envs/OpenPCDet/lib/python3.8/site-packages/torch/nn/modules/module.py”, line 889, in _call_impl
result = self.forward(*input, **kwargs)
File “/home2/kubra/OpenPCDet/tools/…/pcdet/models/backbones_2d/base_bev_backbone.py”, line 103, in forward
x = torch.cat(ups, dim=1)
RuntimeError: Sizes of tensors must match except in dimension 3. Got 36 and 35 (The offending index is 0)