For example:

>>> x = tf.constant([[1, 2, 3]])   # Shape (1, 3,)
>>> y = tf.broadcast_to(x, [2, 3])
>>> print(y)
tf.Tensor(
    [[1 2 3]
     [1 2 3]], shape=(2, 3), dtype=int32)

In the above example, the input Tensor with the shape of `[1, 3]`
is broadcasted to output Tensor with shape of `[2, 3]`.

When broadcasting, if a tensor has fewer axes than necessary its shape is

### Major Features and Improvements

*   <INSERT MAJOR FEATURE HERE, USING MARKDOWN SYNTAX>
*   <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>

### Bug Fixes and Other Changes

* <SIMILAR TO ABOVE SECTION, BUT FOR OTHER IMPORTANT CHANGES / BUG FIXES>
* <IF A CHANGE CLOSES A GITHUB ISSUE, IT SHOULD BE DOCUMENTED HERE>
* <NOTES SHOULD BE GROUPED PER AREA>

* `tf.data`