[theano-users] Porting GPU operations from the old GPU backend to the CUDA backend

[Minh Ngo]

Hello,

Before theano version 1.0 it was quite straightforward to port existent
CUDA layers available in Caffe to Theano by writing a small piece of CUDA
code and specifying the *.cu file using the theano.sandbox.cuda.GpuOp . For
instance, the correlation layer which I have ported for the FlowNet
architecture [1, 2].

I would like to ask if there is any straightforward way to do the same
using the newly introduced libgpuarray backend.

- Minh

[1]:
https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.cu
[2]:
https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.py

[Frédéric Bastien]

You should be able to do similar things.

Fred

Post by Minh Ngo
Hello,
Before theano version 1.0 it was quite straightforward to port existent
CUDA layers available in Caffe to Theano by writing a small piece of CUDA
code and specifying the *.cu file using the theano.sandbox.cuda.GpuOp . For
instance, the correlation layer which I have ported for the FlowNet
architecture [1, 2].
I would like to ask if there is any straightforward way to do the same
using the newly introduced libgpuarray backend.
- Minh
https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.cu
https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.py
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