Efficient storage of broadcasted tensor

[Joel Berkeley]

Hi,

If I broadcast a tensor to match shapes, will XLA typically notice that and not duplicate my data, to save space (and possibly time)? For example, in

```

x = [1, 2, 3]

y = rand([100, 3])

```

I can do `broadcast x + y`, but I don't want to duplicate the data in x.