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RuntimeError: shape '[batch size, 29, 3]' is invalid for input of size 315 #8

@wangxin1999

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@wangxin1999

Traceback (most recent call last):
File "main_THOR.py", line 174, in
loss_dict = model(inputs, targets)
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 169, in forward
return self.module(*inputs[0], **kwargs[0])
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/autodl-tmp/THOR-Net/models/generalized_rcnn.py", line 99, in forward
detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, original_images, targets)
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/autodl-tmp/THOR-Net/models/roi_heads.py", line 388, in forward
rcnn_loss_keypoint, rcnn_loss_keypoint3d, rcnn_loss_mesh3d, rcnn_loss_photometric = keypointrcnn_loss(
File "/root/autodl-tmp/THOR-Net/models/rcnn_loss.py", line 207, in keypointrcnn_loss
keypoint3d_targets = torch.cat(kps3d, dim=0).view(N, K, 3)
RuntimeError: shape '[5, 29, 3]' is invalid for input of size 315

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