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kotlinlang

Hi. Pretty new to kotlindl, and I have a question about inputs: if I have a 2D input (M for Matrix) and a 1D input (V for Vector), what is the best strategy to  combine them, say, if I want a stack of convolutions above M, then to concatenate the flattened result with V, is that doable with kotilndl?

<@U01BWA5QD4K> Were you able to solve your issue?
 I’m not familiar with KotlinDL, but I’m interested in the use case you’re working on. Why did you choose KotlinDL?

I tried wit kotlindl to stay in the kotlin ecosystem, but those shapes are not yet ready, so I switched to deeplearning4j for the time being, while waiting for kotlindl to be a little bit more mature.