RPCOptions

 Setting cache_rpc_response to true will enable sender side caching of
 response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
 requests . This is only necessary when the network fabric is experiencing a
 significant error rate.  Without it we'll fail a step on an network error,
 while with it we'll be able to complete long steps (like complex
 initializations) in the face of some network errors during RecvTensor.
 

 The compression algorithm to be used. One of "deflate", "gzip".
 

 The compression algorithm to be used. One of "deflate", "gzip".
 

 If compression_algorithm is set, the compression level to be used.
 From 0 (no compression), up to 3.
 

 Disables TCP connection sharing when opening a new RPC channel.
 

 If true, always use RPC to contact the session target.
 If false (the default option), TensorFlow may use an optimized
 transport for client-master communication that avoids the RPC
 stack. This option is primarily for used testing the RPC stack.