Convert a variable sized numpy array to Tensorflow Tensors

Question

I am trying Tensorflow 2.0 alpha preview and was testing the Eager execution . My doubt is that if you have a numpy array of variable size in middle like

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Answer 1

It seems that the only way to work with this is to use lists of lists and then convert them to ragged tensors, since numpy doesnt support ragged arrays very well. Will Update if I find anything new