There is a probelm when I run my data

[zuoeye]

There is still probelm when I tried architecture for MNIST in models_def:

`online epoch # 0 [batchSize = 100] [learningRate = 0.01]
/home/ai/torch/install/bin/luajit: /home/ai/torch/install/share/lua/5.1/nn/Container.lua:67:
In 2 module of nn.Sequential:
In 1 module of nn.Sequential:
In 1 module of nn.Sequential:
/home/ai/torch/install/share/lua/5.1/nn/THNN.lua:110: Need input of dimension 4 and input.size[1] == 1 but got input to be of shape: [100 x 3 x 28 x 28] at /tmp/luarocks_cunn-scm-1-3260/cunn/lib/THCUNN/generic/SpatialConvolutionMM.cu:49
stack traceback:
[C]: in function 'v'
/home/ai/torch/install/share/lua/5.1/nn/THNN.lua:110: in function 'SpatialConvolutionMM_updateOutput'
...ai/torch/install/share/lua/5.1/nn/SpatialConvolution.lua:79: in function <...ai/torch/install/share/lua/5.1/nn/SpatialConvolution.lua:76>
[C]: in function 'xpcall'
/home/ai/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
/home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function </home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:41>
[C]: in function 'xpcall'
/home/ai/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
/home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function </home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:41>
[C]: in function 'xpcall'
/home/ai/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
/home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
train.lua:421: in function 'opfunc'
/home/ai/torch/install/share/lua/5.1/optim/sgd.lua:44: in function 'sgd'
train.lua:436: in function 'updateCNN'
train.lua:487: in main chunk
[C]: in function 'dofile'
...e/ai/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: 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/ai/torch/install/share/lua/5.1/nn/Container.lua:67: in function 'rethrowErrors'
/home/ai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'forward'
train.lua:421: in function 'opfunc'
/home/ai/torch/install/share/lua/5.1/optim/sgd.lua:44: in function 'sgd'
train.lua:436: in function 'updateCNN'
train.lua:487: in main chunk
[C]: in function 'dofile'
...e/ai/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x00406670`

I think that It may be my data is three-channel RGB data. I found FRGC is the three-channel RGB data. Then I resize my data to 32323. But there is still trouble when I tried architecture for FRGC:

==> online epoch # 0 [batchSize = 100] [learningRate = 0.01] loss: 0.037374177345863 /home/ai/torch/install/bin/luajit: bad argument #2 to '?' (out of range at /home/ai/torch/pkg/torch/generic/Tensor.c:913) stack traceback: [C]: at 0x7f453c6d9b30 [C]: in function '__index' train.lua:366: in function 'organize_samples' train.lua:422: in function 'opfunc' /home/ai/torch/install/share/lua/5.1/optim/sgd.lua:44: in function 'sgd' train.lua:436: in function 'updateCNN' train.lua:487: in main chunk [C]: in function 'dofile' ...e/ai/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk [C]: at 0x00406670

Do you know how to do? Or can you teach me how to build my network architecture. Especially, how to choose the parameters in the model_def? For example, how to choose the parameters of nInputPlanes, nOutputPlanes, nn.View, nn.Linear, nn.Normalize in the model_def?

[virscience001]

I am also stuck at this point, @jwyang can you put some guideline on how to create network architecture please? Thanks