bad argument #4 to 'v' (cannot convert 'struct THCudaLongTensor *' to 'struct THCudaTensor *')

[SeekPoint]

rzai@rzai00:~/prj/icml2016$ bash scripts/train_coco_txt.sh
{
img_dir : "/media/rzai/ai_data/VQA-ALL/mscoco.org-visualqa.org/train2014"
beta1 : 0.5
nThreads : 6
txtSize : 1024
niter : 200
batchSize : 256
lr_decay : 0.5
fineSize : 64
use_cudnn : 1
init_t : ""
numCaption : 1
loadSize : 76
print_every : 4
encoder : "gru18"
name : "coco_gru18_bs256_c512"
gpu : 1
checkpoint_dir : "checkpoints"
dataset : "coco_txt"
filenames : ""
lr : 0.0002
ntrain : inf
decay_every : 50
save_every : 5
data_root : "/home/rzai/_reedscot/de_coco_icml.tar.gz/train2014_ex_t7"
doc_length : 201
cnn_dim : 512
display_id : 101
display : 0
}
Random Seed: 3243
Starting donkey with id: 1 seed: 3244
Starting donkey with id: 5 seed: 3248
Starting donkey with id: 4 seed: 3247
Starting donkey with id: 2 seed: 3245
Starting donkey with id: 3 seed: 3246
Starting donkey with id: 6 seed: 3249
Dataset: coco_txt Size: 82783
Warning: cudnn.convert does not work with nngraph yet. Ignoring nn.gModuleWarning: cudnn.convert does not work with nngraph yet. Ignoring nn.gModule/home/rzai/torch/install/bin/luajit: /home/rzai/torch/install/share/lua/5.1/nn/Container.lua:67:
In 3 module of nn.Sequential:
/home/rzai/torch/install/share/lua/5.1/nn/THNN.lua:110: bad argument #4 to 'v' (cannot convert 'struct THCudaLongTensor *' to 'struct THCudaTensor *')
stack traceback:
[C]: in function 'v'
/home/rzai/torch/install/share/lua/5.1/nn/THNN.lua:110: in function 'TemporalMaxPooling_updateOutput'
...ai/torch/install/share/lua/5.1/nn/TemporalMaxPooling.lua:19: in function <...ai/torch/install/share/lua/5.1/nn/TemporalMaxPooling.lua:12>
[C]: in function 'xpcall'
/home/rzai/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'
/home/rzai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'func'
/home/rzai/torch/install/share/lua/5.1/nngraph/gmodule.lua:345: in function 'neteval'
/home/rzai/torch/install/share/lua/5.1/nngraph/gmodule.lua:380: in function 'forward'
main_txt_coco.lua:181: in function 'opfunc'
/home/rzai/torch/install/share/lua/5.1/optim/adam.lua:37: in function 'adam'
main_txt_coco.lua:207: in main chunk
[C]: in function 'dofile'
...rzai/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/rzai/torch/install/share/lua/5.1/nn/Container.lua:67: in function 'rethrowErrors'
/home/rzai/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'func'
/home/rzai/torch/install/share/lua/5.1/nngraph/gmodule.lua:345: in function 'neteval'
/home/rzai/torch/install/share/lua/5.1/nngraph/gmodule.lua:380: in function 'forward'
main_txt_coco.lua:181: in function 'opfunc'
/home/rzai/torch/install/share/lua/5.1/optim/adam.lua:37: in function 'adam'
main_txt_coco.lua:207: in main chunk
[C]: in function 'dofile'
...rzai/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x00406670
rzai@rzai00:~/prj/icml2016$

[SeekPoint]

misreport

this is caused by fb.torch!

[ChenSongle]

I spent several days to solve this problem, including update cutorch, cunn and so on, but the error still existed. In fact, you should convert the input into CudaTensor. I fixed this problem by adding the convert layer(Convert.lua) before convolution layer.

[mpapadomanolaki]

@ChenSongle could you tell me how exactly did you use the convert layer??
I have a similar problem but I can't solve it, I don't know what I'm missing..
Thank you : )

[ChenSongle]

@mpapadomanolaki
--below is an example
agentinput2 = nn.Sequential()
agentinput2:add(nn.Convert(ds:ioShapes(), ds:ioShapes())) --only for convert to cuda
--here, ds is the object of ImageSet or other datasource