Comments (3)
@hahne There is no constraint on the kernel size from the algorithm perspective. It works in general (see here).
The code expects those, only because I did a lazy job to escape from a cumbersome code block of if-else-if-else to check that the kernel_size exists in kernel_size
or kernel_h kernel_w
. If it exists in kernel_size
, we also had to check it was a list or a scalar to make it work in general.
from caffe.
@wenwei202 ok understand. Thank you for the info!
from caffe.
@hahne I suspect those assert
is not necessary for linear combination layer, but we need to delete kernel_h
and kernel_w
if they are copied from decomposed conv layer. Similar thing for stride
, pad
and dilation
.
from caffe.
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from caffe.