Extract a part of a nngraph model after loading it

[Marceau C.]

I downloaded a trained model that is using nngraph.
I want to be able to cut the graph in two, to add my personal stuff in the middle.
Instead of
Z = model:forward( {X1, X2} )

I want to do
Y = modelA:forward( {X1, X2} )
Y = process(Y)
Z = modelB:forward( {Y} )

Is this possible, or is the only way to do it is to extracts nodes one by one to rebuild two models ?

And if I want to do it node by node, what is the proper way to do it ? There seem to be redundancy in the model data structure.
Should I do model.fg.nodes[1].data.module to access the content of each node and then rebuild the nngraph ?

As I am not used to Torch (and lua) I don't know what is the proper way to do it.
Also, how can I manually extract each tensor and save it in a format that can be loaded by Numpy ?

Thanks.

[Seokju Lee]

How did you solve this issue?

2016년 7월 6일 수요일 오전 1시 13분 24초 UTC+9, Marceau C. 님의 말:

[Ronak Kosti]

Hi guys, 

I am also looking for something similar. Did you find the solution?

[Marceau C.]

Hi,

If I remember well, I didn't find a solution and solved my problem another way.

Sorry.

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