### Deprecation

- Added support for vSphere in-tree volumes migration to vSphere CSI driver. The in-tree vSphere Volume plugin will be deprecated and removed in a future release.
  

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

&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....

&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....