// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

*   CUDA 9.0 and cuDNN 7 support.
*   Accelerated Linear Algebra (XLA):
    *   Add `complex64` support to XLA compiler.
    *   `bfloat` support is now added to XLA infrastructure.
    *   Make `ClusterSpec` propagation work with XLA devices.
    *   Use a deterministic executor to generate XLA graph.
*   `tf.contrib`:
    *   `tf.contrib.distributions`:
    *   Add `tf.contrib.distributions.Autoregressive`.