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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/07 07:12:26 UTC

[GitHub] 315386775 opened a new issue #8570: How to reduce the memory when load the trained model?

315386775 opened a new issue #8570: How to reduce the memory when load the trained model?
URL: https://github.com/apache/incubator-mxnet/issues/8570
 
 
   ## Description
   I used the VGG16 base network. The faster-rcnn occupy 2G memory in fact, but when loading model need around 6G memory.
   How to reduce the memory when load the trained model?
   
   ## What have you tried to solve it?
   

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