view size is not compatible with input tensor for sgdet

[Harryqu123]

Hi, thanks for your code and paper in advance.
However, I have a small question.
When I run the training code in predcls or sgcls mode, everything is fine but when I run the training code in sgdet mode, the error below shows:

File "/home/quhaoxuan/STTran/fasterRCNN/lib/model/rpn/rpn.py", line 50, in reshape
x = x.view(
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

I understand that this function seems to be only triggered in sgdet setting.
But can I ask is there any suggestions on any possible solutions to this error?
Many thanks in advance

[yrcong]

Hi,
i have never seen this before. Could you give some more information. Is this triggered in the training or test? How the Tensor x really look like? Which pytorch version are you using?
If your pytorch=1.1.0, the issue may be not caused by view function, but somewhere else.

[Harryqu123]

Thanks for your reply.
It happens in the training process of sgdet and my pytorch version is 1.8.0 so I guess it is not the issue for pytorch 1.1.0
However, I find that if I simply change the view function there to reshape function in fasterRCNN/lib/model/rpn/rpn.py, and change the tensor in lib/object_detector.py in line 143 and 148 from CPU tensor to cuda tensor, I can run the code of sgdet.
I am not sure whether this would affect the performance but I think I will close this comment first as I somehow solve the issue already.
Many thanks