Tensor values.
*   `tf.fill` creates an Op in the computation graph that constructs the actual
    Tensor value at runtime. This is in contrast to `tf.constant` which embeds
    the entire Tensor into the graph with a `Const` node.
*   Because `tf.fill` evaluates at graph runtime, it supports dynamic shapes
    based on other runtime Tensors, unlike `tf.constant`.
  }];

*   `tf.SavedModel`

    *   Introduced class method `tf.saved_model.experimental.Fingerprint.from_proto(proto)`, which can be used to construct a `Fingerprint` object directly from a protobuf.
    *   Introduced member method `tf.saved_model.experimental.Fingerprint.singleprint()`, which provides a convenient way to uniquely identify a SavedModel.

### Bug Fixes and Other Changes

*   `tf.Variable`