decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and
        [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md)
        interface.

&HandshakeSecret{ secret: extract(s.hash, sharedSecret, derived), hash: s.hash, } } // ClientHandshakeTraff derives the client_handshake_traffic_secret from // the handshake secret and the transcript up to the ServerHello. func (s *HandshakeSecret) ClientHandshakeTraff(transcript fips140.Hash) []byte { return deriveSecret(s.hash, s.secret, clientHandshakeTraff, transcript) } // ServerHandshakeTraff derives the server_handshake_traffic_secret from // the handshake secret and the transcript up to the ServerHello....

&HandshakeSecret{ secret: extract(s.hash, sharedSecret, derived), hash: s.hash, } } // ClientHandshakeTraff derives the client_handshake_traffic_secret from // the handshake secret and the transcript up to the ServerHello. func (s *HandshakeSecret) ClientHandshakeTraff(transcript hash.Hash) []byte { return deriveSecret(s.hash, s.secret, clientHandshakeTraff, transcript) } // ServerHandshakeTraff derives the server_handshake_traffic_secret from // the handshake secret and the transcript up to the ServerHello....

## 0.28.0

* Implement dependency cache per request.
    * This avoids calling each dependency multiple times for the same request.
    * This is useful while calling external services, performing costly computation, etc.