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Volumetric extensions to Torch's modules

License: MIT License

C 41.90% Lua 15.26% Cuda 42.85%

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stevejungao amynebenali

torch-vol's Issues

Installation Instructions

It would be nice to have some installation instructions with the README.
As far as I can see, simply copying these files to the appropriate 'nn' folder and then doing a luarocks install with the appropriate rocks file in the nn folder would be sufficient.
Maybe adding those instructions (or any other installation instructions) to the README would be useful.

VolumetricMaxUnpooling module installation

Hi friend,

Sorry to bother you again. I just noticed that the VolumetricMaxUnpooling.cu module in torch is contributed by you as well and I want to install it in my cunn. However, I can't do it by luarocks install cunn because it causes too many errors and I also want to keep my current cunn version.

So I am wondering is there another way to install it just like before? Have you tried this? Thanks!!

——————
I have tried to install by copying VolumetricMaxUnpooling.cu into /home/ubuntu/torch/extra/cunn/lib/THCUNN and then luarocks make cunn, but when training models it got

not found: THNN_CudaVolumetricMaxUnpooling_updateOutput
/usr/share/lua/5.1/nn/THNN.lua:107: /usr/lib/lua/5.1/libTHCUNN.so: undefined symbol: THNN_CudaVolumetricMaxUnpooling_updateOutput   
not found: THNN_CudaVolumetricMaxUnpooling_updateGradInput
/usr/share/lua/5.1/nn/THNN.lua:107: /usr/lib/lua/5.1/libTHCUNN.so: undefined symbol: THNN_CudaVolumetricMaxUnpooling_updateGradInput

I tried to fixed it by adding the missing function definition into /usr/share/lua/5.1/cunn/THCUNN_h.lua but it still doesn't work.

VolumetricUpSamplingNearest: input.nn is a nil value

Hi,

First I want to say your work is awesome, would definitely help me. But about the installation, I think there should be some update, because I actually installed your module in extra/nnx and extra/cunnx, seems newest version of torch has made some changes in directory structures.

However I got a problem when I use VolumetricUpSamplingNearest in my module.
This is my model:

local pooling = nn.VolumetricMaxPooling(3,3,3)
local pooling2 = nn.VolumetricMaxPooling(2,2,2)

encoder = nn.Sequential()
encoder:add(nn.VolumetricConvolution(1,10,7,7,7))
encoder:add(nn.Sigmoid())
encoder:add(pooling)
encoder:add(nn.VolumetricConvolution(10,20,5,5,5))
encoder:add(nn.Sigmoid())
encoder:add(pooling2)
encoder:add(nn.VolumetricConvolution(20,30,3,3,3))
encoder:add(nn.Sigmoid())

decoder = nn.Sequential()
decoder:add(nn.VolumetricFullConvolution(30,20,3,3,3))
encoder:add(nn.Sigmoid())
decoder:add(nn.VolumetricUpSamplingNearest(2,2))
decoder:add(nn.VolumetricFullConvolution(20,10,5,5,5))
encoder:add(nn.Sigmoid())
decoder:add(nn.VolumetricUpSamplingNearest(3,3))
decoder:add(nn.VolumetricFullConvolution(10,1,7,7,7))

module = unsup.SparseAutoEncoder(encoder, decoder, params.beta, params.lambda)

The input is a 3D Tensor (100x100x100). I think I make it right above. But when training it gives this:

/usr/share/lua/5.1/nn/VolumetricUpSamplingNearest.lua:55: attempt to index field 'nn' (a nil value)
stack traceback:

    /usr/share/lua/5.1/nn/VolumetricUpSamplingNearest.lua:55: in function </usr/share/lua/5.1/nn/VolumetricUpSamplingNearest.lua:33>

    [C]: in function 'xpcall'

    /usr/share/lua/5.1/nn/Container.lua:65: in function 'rethrowErrors'

    /usr/share/lua/5.1/nn/Sequential.lua:44: in function 'updateOutput'

    /usr/share/lua/5.1/unsup/SparseAutoEncoder.lua:36: in function 'updateOutput'

    train-cbct-whole.lua:212: in function 'opfunc'

    /usr/share/lua/5.1/optim/adagrad.lua:31: in function 'adagrad'

    train-cbct-whole.lua:233: in main chunk

I am not quite sure what is input.nn, so I wll appreciate your kindly help! Thank you very much.

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