antarmuka publik RPCOptionsOrBuilder
| Subkelas Tidak Langsung yang Diketahui |
Metode Publik
| boolean abstrak | dapatkanCacheRpcResponse () Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests . |
| Tali abstrak | dapatkan Algoritma Kompresi () The compression algorithm to be used. |
| abstrak com.google.protobuf.ByteString | dapatkanCompressionAlgorithmBytes () The compression algorithm to be used. |
| abstrak ke dalam | dapatkanTingkat Kompresi () If compression_algorithm is set, the compression level to be used. |
| boolean abstrak | getDisableSessionConnectionSharing () Disables TCP connection sharing when opening a new RPC channel. |
| boolean abstrak | dapatkanUseRpcForInprocessMaster () If true, always use RPC to contact the session target. |
Metode Publik
boolean abstrak publik 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 abstrak publik getCompressionAlgorithm ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; abstrak publik com.google.protobuf.ByteString getCompressionAlgorithmBytes ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; abstrak publik int getCompressionLevel ()
If compression_algorithm is set, the compression level to be used. From 0 (no compression), up to 3.
int32 compression_level = 3; boolean abstrak publik getDisableSessionConnectionSharing ()
Disables TCP connection sharing when opening a new RPC channel.
bool disable_session_connection_sharing = 5; boolean abstrak publik 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;