Segmentation fault (core dumped)

[YLONl]

Who got this error？
I googled and got some reasons about core and GPU version。
But i dont konw how to solve？

[YLONl]

i know the wrong code.
"import networks."

[Serge-weihao]

what does the Traceback show?

[YLONl]

No Traceback shows. Just the tip.

[kumartr]

I would like to know more about the energy_H and energy_W variables, what the compute and how they help to acheive.
Also how the Criss Cross Attention is achieved
energy_H = (torch.bmm(proj_query_H, proj_key_H)+self.INF(m_batchsize, height, width)).view(m_batchsize,width,height,height).permute(0,2,1,3)
energy_W = torch.bmm(proj_query_W, proj_key_W).view(m_batchsize,height,width,width)
concate = self.softmax(torch.cat([energy_H, energy_W], 3))

[Serge-weihao]

to aggregate the values from the same column(energy_H) and row(energy_W ) of the query. self.INF will make one of the overlapped position to be zero.

[kumartr]

Thanks a lot Serge for your kind reply,
I will try to relook at your code with this insight.
One more question - Where are the H+W-1 'channels' for the Attention maps computed ?

Would it be possible to connect sometime over short zoom call, to clarify few other points
My email address is kumartr@gmail.com
My LinkedIn link is as below
https://www.linkedin.com/in/kumartr/

[Serge-weihao]

concate = self.softmax(torch.cat([energy_H, energy_W], 3)) computes the attention maps and one overlapped position was seted to 0 by the self.INF, so there are H+W-1 non-zero values + 1 zero value.