Comments (4)
Hi @buliginleo The converts will be unable to do this since the code uses custom layers. One will need to port this code: https://github.com/1adrianb/bnn.torch to the desired platform first.
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Hi@1adrianb
Did you mean I should port the code of custom layers to the pytorch first if I want to convert this model to pytorch?
from binary-face-alignment.
Hi @aaronchen98,
Yes, the layers need to be ported.
from binary-face-alignment.
Hi@1adrianb
Sorry for disturbing you again.
It seems a little difficult for me to convert this model to pytorch.Attually I am in a mess.Shall I just need to make a little change in the 'Binary,lua' and 'BinarySpatialConvolution.lua'?Or I should recode all of '.lua' from 'bnn.torch' using python?
I would appreciate for your any suggestion.
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Related Issues (12)
- Visualize the net structure! So complicated! HOT 6
- Training code
- The result of my training is very poor,why?
- conversion from bnn.SpatialConvolution and bnn.binary to nn or cudnn HOT 5
- Very large GPU memory consumption HOT 1
- where is the groundTruth in eval? HOT 1
- AFLWPIFA-val.tar can not download HOT 4
- Error when 'luarocks make' HOT 3
- How to convert to bnn.BinarySpatialConvolution from cudnn.SpatialConvolution.cu after training HOT 1
- Visualize the bounding box HOT 3
- How Can I preditct a new image? HOT 2
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