Comments (5)
Just legacy reason, I guess... I was translating codes quickly from decaf to caffe and did not worry too much about memory consumption back then. Yeah, it would be good to have a padding aware im2col function to save a (rather unnecessary) copy of the data.
from caffe.
It would be even better to have a more memory efficient convolutional layer
that won't require im2col, but that it is going to be harder.
Sergio
2014-02-03 Yangqing Jia [email protected]:
Just legacy reason, I guess... I was translating codes quickly from decaf
to caffe and did not worry too much about memory consumption back then.
Yeah, it would be good to have a padding aware im2col function to save a
(rather unnecessary) copy of the data.Reply to this email directly or view it on GitHubhttps://github.com//issues/36#issuecomment-34001933
.
from caffe.
I assume Forrest is working along that direction (not sure).
Yangqing
On Mon, Feb 3, 2014 at 1:40 PM, Sergio Guadarrama
[email protected]:
It would be even better to have a more memory efficient convolutional layer
that won't require im2col, but that it is going to be harder.Sergio
2014-02-03 Yangqing Jia [email protected]:
Just legacy reason, I guess... I was translating codes quickly from decaf
to caffe and did not worry too much about memory consumption back then.
Yeah, it would be good to have a padding aware im2col function to save a
(rather unnecessary) copy of the data.Reply to this email directly or view it on GitHub<
https://github.com/BVLC/caffe/issues/36#issuecomment-34001933>
.Reply to this email directly or view it on GitHubhttps://github.com//issues/36#issuecomment-34003395
.
from caffe.
I was talking with Forrest, and he plans to work on that in a week or two.
I found this examples about convolutions
http://www.evl.uic.edu/sjames/cs525/final.html
from caffe.
@Yangqing how to convert the 2 dimension convolution to 3 dimension convolution in the im2col.cpp and conv_layer.cpp files? Thinks
from caffe.
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from caffe.