training errors with my own mdb datasets

[simmoncn]

I just use the tools/CreateDataset.py to create my owned train and validation dataset. But when running training, it throws the following exceptions:
/disk1/deeplearning/torch/install/bin/luajit: bad argument #3 to '?' (torch.*Tensor expected, got nil)
stack traceback:
[C]: at 0x7f900fc2f8b0
[C]: in function '__newindex'
./utilities.lua:33: in function 'str2label'
./DatasetLmdb.lua:82: in function 'allImageLabel'
./training.lua:84: in function 'trainModel'
main_train.lua:51: in main chunk
[C]: in function 'dofile'
...ning/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x004064d0

anyone can help me how to fix the errors?

thanks

[simmoncn]

I have fixed the issue.

[avr248]

how you fix the errors?

[ravikantb]

@avr248 I had also faced a similar issue in my training of crnn. As far as I can recall the reason for mine was incorrect setting of maxT. I was training on a larger character set. Currently I use maxT=51 instead of default 26 given in the config.lua.

[stalagmite7]

@ravikantb , what is maxT though, actually? By default, even though 36 classes are considered, maxT is only 26. What does that mean?