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
in
This was happening to me in eager as well. Looking at the docs here , I ended up trying
tf.convert_to_tensor(input, dtype=tf.float32)
And that worked for me.