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 

```
input.shape
(10,)

input[0].shape
(109, 16)

input[1].shape
(266, 16)

```

and so on for the rest of the array , how does one eagerly convert them to tensors.

when I try 

```
tf.convert_to_tensor(input)

```

or

```
tf.Variable(input)

```

I get 

> 
> ValueError: Failed to convert numpy ndarray to a Tensor (Unable to get
>  element as bytes.).
> 
> 
> 

Converting each sub-array works , but because the sub-array size isn't same , tf.stack doesn't work. 

Any help or suggestions ?