सार्वजनिक इंटरफ़ेस RPCOptionsOrBuilder
| ज्ञात अप्रत्यक्ष उपवर्ग |
सार्वजनिक तरीके
| अमूर्त बूलियन | getCacheRpcResponse () Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests . |
| सार स्ट्रिंग | GetCompressionAlgorithm () The compression algorithm to be used. |
| सार com.google.protobuf.ByteString | GetCompressionAlgorithmBytes () The compression algorithm to be used. |
| सार इंट | getCompressionLevel () If compression_algorithm is set, the compression level to be used. |
| अमूर्त बूलियन | getDisableSessionConnectionSharing () Disables TCP connection sharing when opening a new RPC channel. |
| अमूर्त बूलियन | getUseRpcForInprocessMaster () If true, always use RPC to contact the session target. |
सार्वजनिक तरीके
सार्वजनिक सार बूलियन 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; सार्वजनिक सार स्ट्रिंग getCompressionAlgorithm ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; सार्वजनिक सार com.google.protobuf.ByteString getCompressionAlgorithmBytes ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2; सार्वजनिक सार int getCompressionLevel ()
If compression_algorithm is set, the compression level to be used. From 0 (no compression), up to 3.
int32 compression_level = 3; सार्वजनिक सार बूलियन getDisableSessionConnectionSharing ()
Disables TCP connection sharing when opening a new RPC channel.
bool disable_session_connection_sharing = 5; सार्वजनिक सार बूलियन 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;