jeremiedb opened a new issue #5488: [WIP] RNN with bucketing and mask - R 
   Since there wasn't an API yet for bucketing and masking in the R-package, I 
started building some functionnalities to address this. Inference from iterator 
is also provided. Further work remains to render the interface more flexible to 
different structures (seq-to-seq vs. seq-to-single used to demo). I've tried to 
stay as close as possible to the current `model.R` for standard feedforward 
   I've detailed the approach and put the code here:
   I was wondering if there were already plans to develop bucketing utilities 
in the R package. If not, would you see this approach as a decent one it and 
worth buildind further on it?
   There are some specificities with how I dealt with the iterarators, it 
assumes that a pre-processing is performed to put the data and label arrays in 
lists for each bucket. Also noticed that shared module options seems not 
supported in the `symbol_bind` operator, not sure if this may result in memory 
management issues. 
   In any case I can turn it into an example to add to the docs. CNN examples 
reaches 89% accuracy on IMDB sentiment in few minutes on laptop CPU. 
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