bad argument #3 to 'v' when using VolumetricConvolution

[kuixu]

The input is a 3D image and the input size is [32, 30, 30, 30], which batchSize=32, Height x Width x Length = 30 x 30 x 30

/home/scs4850/torch/install/bin/luajit: /home/scs4850/torch/install/share/lua/5.1/nn/Container.lua:67: 
In 1 module of nn.Sequential:
/home/scs4850/torch/install/share/lua/5.1/nn/THNN.lua:110: bad argument #3 to 'v' (cannot convert 'struct THFloatTensor *' to 'struct THCudaTensor *')
stack traceback:
        [C]: in function 'v'
        /home/scs4850/torch/install/share/lua/5.1/nn/THNN.lua:110: in function 'VolumetricConvolution_updateOutput'
        ...torch/install/share/lua/5.1/nn/VolumetricConvolution.lua:52: in function <...torch/install/share/lua/5.1/nn/VolumetricConvolution.lua:48>
        [C]: in function 'xpcall'
        /home/scs4850/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
        /home/scs4850/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
        ./train.lua:57: in function 'train'
        main.lua:49: in main chunk
        [C]: in function 'dofile'
        ...4850/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
        [C]: at 0x00406670

WARNING: If you see a stack trace below, it doesn't point to the place where this error occurred. Please use only the one above.
stack traceback:
        [C]: in function 'error'
        /home/scs4850/torch/install/share/lua/5.1/nn/Container.lua:67: in function 'rethrowErrors'
        /home/scs4850/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
        ./train.lua:57: in function 'train'
        main.lua:49: in main chunk
        [C]: in function 'dofile'
        ...4850/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
        [C]: at 0x00406670

I really don't know what's wrong with that. Anyone here can help me ?

[gchanan]

It looks like your input is of type CudaTensor, but the module isn't of that type. See some examples in the cunn tests, you probably want to call :cuda() on the module you are passing the input to, e.g. nn.Sequential(...):cuda() or nn.VolumetricConvolution(...):cuda() (remember to require 'cunn').

[kuixu]

@gchanan Thanks for your advice! It works now! And sorry for the late feedback.

[NerminSalem]

@barrykui how did u make it work?
thanks