interface pública RPCOptionsOrBuilder
| Subclasses indiretas conhecidas |
Métodos Públicos
| booleano abstrato | getCacheRpcResponse () Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests . |
| cadeia abstrata | getCompressionAlgorithm () The compression algorithm to be used. |
| abstrato com.google.protobuf.ByteString | getCompressionAlgorithmBytes () The compression algorithm to be used. |
| abstrato int | getCompressionLevel () If compression_algorithm is set, the compression level to be used. |
| booleano abstrato | getDisableSessionConnectionSharing () Disables TCP connection sharing when opening a new RPC channel. |
| booleano abstrato | getUseRpcForInprocessMaster () If true, always use RPC to contact the session target. |
Métodos Públicos
público abstrato booleano getCacheRpcResponse ()
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; string abstrata pública getCompressionAlgorithm ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; resumo público com.google.protobuf.ByteString getCompressionAlgorithmBytes ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; público abstrato int getCompressionLevel ()
If compression_algorithm is set, the compression level to be used. From 0 (no compression), up to 3.
int32 compression_level = 3; público abstrato booleano getDisableSessionConnectionSharing ()
Disables TCP connection sharing when opening a new RPC channel.
bool disable_session_connection_sharing = 5; público abstrato booleano 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;