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Hi @rayush7 , I have been trying to retain the network on my custom dataset as well, but the training process after loading a batch errors out at the forward...

Yes, with one small change: instead of checking image validity thru opencv, I use the inbuilt imghdr package from python (since I am using a docker container to work on...

Could it be that my ascii conversion is incorrect? Since the error it throws is an 'index out of range' error, perhaps I am trying to access indices for ascii...

Yes, I figured out the ascii2label function error once I looked at it; didn't know of the label2ascii function though, thanks a ton for pointing it out! This should work...

Its looking for the .so file that is in your src directory after you've successfully built the project.

How did you fix this problem? I get something similar: /root/torch/install/bin/luajit: bad argument #2 to '?' (out of range at /root/torch/pkg/torch/generic /Tensor.c:700) stack traceback: [C]: at 0x7f434cae18f0 [C]: in function...

I didn't have time to change the model this time around, so I just made sure my inputs are all within 26 characters.

Thanks for the quick response! I just got AFK, I’ll try it in a few hours and keep you posted!

Tried this, got a invalid configuration error from CUDA ``` Error during forward propagation: TransposeCuda

Checking back in, I know it says the fix has been deployed but the OOM error persists. Like I asked before, what is the maximum size possible that I can...