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Ien001 avatar Ien001 commented on September 26, 2024 5

Hi,

I also encountered this bug, it seems some details in "DCN" lib are not handled well enough to avoid this problem, so when it comes to the last step during training process, some tensors cannot be divided.

My solution is to set batch_size = 1, and it will work but time-consumingly.

@chengdazhi Hope u can fix this bug, it shouldn't take u much time.

Thanks!
Ian

from deformable-convolution-v2-pytorch.

JeffWang987 avatar JeffWang987 commented on September 26, 2024 1

Hi, I came across the same problem, but it seems that it is not a bug. Because the "im2col_step" is a parameter. As is shown bellow:
image

We can always choose a proper "im2col_step" ensuring that "batch % im2col_step_ == 0".

To this end, I believe the problem is solved. However, I would like to know how "im2col_step" influences efficiency? Does a bigger value boost efficiency?

from deformable-convolution-v2-pytorch.

heartInsert avatar heartInsert commented on September 26, 2024

Yes,when I set batch_size to 64,it will not wrong here

But sometimes my model likes to increase the loss but not decrease the loss when he reached at 22% accuracy , backward to the contrary side ? It's very funny

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Qi-Zhangyang avatar Qi-Zhangyang commented on September 26, 2024

I agree with you, I also wonder how im2col_step influence the results.

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Note-Liu avatar Note-Liu commented on September 26, 2024

I set batch_size = 64 ,and im2col_step=64,but still meet the error

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