رابط عمومی RPCOptionsOrBuilder 
| زیر کلاس های غیر مستقیم شناخته شده | 
روش های عمومی
| بولی انتزاعی |  getCacheRpcResponse ()  Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests . | 
| رشته انتزاعی |  الگوریتم getCompression ()  The compression algorithm to be used. | 
| چکیده com.google.protobuf.ByteString |  getCompressionAlgorithmBytes ()  The compression algorithm to be used. | 
| انتزاعی |  getCompressionLevel ()  If compression_algorithm is set, the compression level to be used. | 
| بولی انتزاعی |  getDisableSessionConnectionSharing ()  Disables TCP connection sharing when opening a new RPC channel. | 
| بولی انتزاعی |  getUseRpcForInprocessMaster ()  If true, always use RPC to contact the session target. | 
روش های عمومی
getCacheRpcResponse بولین انتزاعی عمومی ()
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.
bool cache_rpc_response = 4; رشته انتزاعی عمومی getCompressionAlgorithm ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; عمومی انتزاعی com.google.protobuf.ByteString getCompressionAlgorithmBytes ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; انتزاعی عمومی int getCompressionLevel ()
If compression_algorithm is set, the compression level to be used. From 0 (no compression), up to 3.
int32 compression_level = 3; بولی انتزاعی عمومی getDisableSessionConnectionSharing ()
Disables TCP connection sharing when opening a new RPC channel.
bool disable_session_connection_sharing = 5; بولی انتزاعی عمومی getUseRpcForInprocessMaster ()
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.
bool use_rpc_for_inprocess_master = 1;