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This issue came up while implementing an Encoder-Decoder ConvLSTM, but I think is applicable to all kind of RNNs in Lux.
The approach I'm following is to feed the encoder with my input x, obtain (y, carry) and feed the decoder with those.
I'm using Recurrence to wrap the encoder, but I've noticed that the output ignores carry and returns y alone.
Is there any combination of layers that can be used for this purpose?
To overcome this issue, I've implemented my own version of Recurrence that outputs both y and carry.
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