LSTM with convolution instead of matrix multiplication (ConvLSTM)

Hello Community

I have already used Julia for many tasks but not for machine learning purposes. Now, I would need a LSTM network, which uses internal convolutional operations (not convolved matrices as input). Such a net is called ConvLSTM which is already implemented in Python packages. I would use ConvLSTMs to model short range forecasts for precipitation fields. Details can be found in publication (equation 3)

Up to now, I did not found hints for be available within the Flux tool. Do somebody know, if such a ConvLSTM is under development in Julia and when it will be available?

Thanks for any comments,
Dieter

It is not, to my knowledge. If you or anyone else implements one, I’d be more than happy to help guide them with upstreaming that into Flux itself.