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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/09/06 23:12:42 UTC
[GitHub] ankkhedia removed a comment on issue #7968: [R] Transfer Learning
using VGG-16
ankkhedia removed a comment on issue #7968: [R] Transfer Learning using VGG-16
URL: https://github.com/apache/incubator-mxnet/issues/7968#issuecomment-419270430
@jeremiedb Vgg16 would require more than 12GB of GPU memory size and vgg19 requires more than 15GB. This numbers are the GPU memory footprint at the time of crash. However, I tried the gc() fix which you mentioned above and the transfer learning do work fine with GPU memory footprint constant at 1.6GB. I think it makes sense to add the gc() fix in model.R to avoid these crashes. Do you have any better suggestions?
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