*   distribute.experimental.rpc package:

    *   distribute.experimental.rpc package introduces APIs to create a GRPC
        based server to register tf.function methods and a GRPC client to invoke
        remote registered methods. RPC APIs are intended for multi-client setups
        i.e. server and clients are started in separate binaries independently.

    *   Example usage to create server: ```python server =

c.storage[:len(key)] copy(c.key, key) return c } // BlockFunction returns the function code for the block cipher. // It is used by the GCM implementation to invoke the KMA instruction. func BlockFunction(c *Block) int { return int(c.function) } // BlockKey returns the key for the block cipher. // It is used by the GCM implementation to invoke the KMA instruction. func BlockKey(c *Block) []byte { return c.key } func encryptBlock(c *Block, dst, src []byte) { if c.fallback != nil { encryptBlockGeneric(c.fallback,...

c.storage[:len(key)] copy(c.key, key) return c } // BlockFunction returns the function code for the block cipher. // It is used by the GCM implementation to invoke the KMA instruction. func BlockFunction(c *Block) int { return int(c.function) } // BlockKey returns the key for the block cipher. // It is used by the GCM implementation to invoke the KMA instruction. func BlockKey(c *Block) []byte { return c.key } func encryptBlock(c *Block, dst, src []byte) { if c.fallback != nil { encryptBlockGeneric(c.fallback,...