Euclidean distances
Hi, I'm a bit new to the ML scene and I am trying to convert [this python script](https://github.com/rmodi6/gesture-recognition/blob/master/server.py) to Nim.

I've figured out most of it except there is a function called `euclidean_distances` ([from here](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html)) from sklearn that I'm unsure how to translate using Arraymancer. I see that there is a proc in `kmeans.nim` called `euclidean_distance` (without the `s`). It seems to be mostly what I want, except it returns a single number instead of a Tensor. 

Is there a proc somewhere that performs the euclidean distances similar to the Python library? Just asking before I go on the journey of implementing it myself. Or maybe you can provide a tip on how to implement it simply with the defined proc :) Thank you!