This issue will be used to track common interface option handling. This is a constant time factor so it's not the biggest deal, but I feel that we can improve some applications by reducing common latency here.

Issue:
NeuralODE when driven by a batch input will output an array in which the last index is the time index not the batch index. This is different than the standard convention in all other ML libraries including Flux, TensorFlow, Pytorch, and Chainer.
In Flux.conv the batch output dimensions are
( Data-dimension, channel index, batch index)

the time series output from a NeuralODE is anala