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The only real thing I wanted to bring up is that in RNN_torch,
sparse
is defined to take in std of the normal distribution but for all the function calls you gave var instead of std (I assume the correct distribution has var = 1/N and thus std = 1/sqrt(N). Otherwise, changes are just made to add my own task (TaskALM) and train the RNNs. I can also explain anything unclear when you are free!