RPCOptionsOrBuilder
Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Sous-classes indirectes connues |
Méthodes publiques
booléen abstrait | getCacheRpcResponse ()
Setting cache_rpc_response to true will enable sender side caching of
response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
requests . |
chaîne abstraite | |
résumé com.google.protobuf.ByteString | |
abstrait entier | |
booléen abstrait | |
booléen abstrait | |
Méthodes publiques
public abstrait booléen 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;
chaîne abstraite publique getCompressionAlgorithm ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2;
résumé public com.google.protobuf.ByteString getCompressionAlgorithmBytes ()
The compression algorithm to be used. One of "deflate", "gzip".
string compression_algorithm = 2;
public abstrait int getCompressionLevel ()
If compression_algorithm is set, the compression level to be used.
From 0 (no compression), up to 3.
int32 compression_level = 3;
public abstrait booléen getDisableSessionConnectionSharing ()
Disables TCP connection sharing when opening a new RPC channel.
bool disable_session_connection_sharing = 5;
public abstrait booléen 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;
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/27 (UTC).
[null,null,["Dernière mise à jour le 2025/07/27 (UTC)."],[],[],null,["# RPCOptionsOrBuilder\n\npublic interface **RPCOptionsOrBuilder** \n\n|---|---|---|\n| Known Indirect Subclasses [RPCOptions](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptions), [RPCOptions.Builder](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptions.Builder) |--------------------------------------------------------------------------------------------|---------------------------------------| | [RPCOptions](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptions) | Protobuf type `tensorflow.RPCOptions` | | [RPCOptions.Builder](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptions.Builder) | Protobuf type `tensorflow.RPCOptions` | |||\n\n### Public Methods\n\n|-----------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract boolean | [getCacheRpcResponse](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getCacheRpcResponse())() ``` Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests . ``` |\n| abstract String | [getCompressionAlgorithm](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getCompressionAlgorithm())() ``` The compression algorithm to be used. ``` |\n| abstract com.google.protobuf.ByteString | [getCompressionAlgorithmBytes](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getCompressionAlgorithmBytes())() ``` The compression algorithm to be used. ``` |\n| abstract int | [getCompressionLevel](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getCompressionLevel())() ``` If compression_algorithm is set, the compression level to be used. ``` |\n| abstract boolean | [getDisableSessionConnectionSharing](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getDisableSessionConnectionSharing())() ``` Disables TCP connection sharing when opening a new RPC channel. ``` |\n| abstract boolean | [getUseRpcForInprocessMaster](/jvm/api_docs/java/org/tensorflow/proto/framework/RPCOptionsOrBuilder#getUseRpcForInprocessMaster())() ``` If true, always use RPC to contact the session target. ``` |\n\nPublic Methods\n--------------\n\n#### public abstract boolean\n**getCacheRpcResponse**\n()\n\n\u003cbr /\u003e\n\n```\n Setting cache_rpc_response to true will enable sender side caching of\n response for RecvTensorAsync and RecvBufAsync to allow receiver to retry\n requests . This is only necessary when the network fabric is experiencing a\n significant error rate. Without it we'll fail a step on an network error,\n while with it we'll be able to complete long steps (like complex\n initializations) in the face of some network errors during RecvTensor.\n \n```\n`bool cache_rpc_response = 4;`\n\n\u003cbr /\u003e\n\n#### public abstract String\n**getCompressionAlgorithm**\n()\n\n\u003cbr /\u003e\n\n```\n The compression algorithm to be used. One of \"deflate\", \"gzip\".\n \n```\n`string compression_algorithm = 2;`\n\n\u003cbr /\u003e\n\n#### public abstract com.google.protobuf.ByteString\n**getCompressionAlgorithmBytes**\n()\n\n\u003cbr /\u003e\n\n```\n The compression algorithm to be used. One of \"deflate\", \"gzip\".\n \n```\n`string compression_algorithm = 2;`\n\n\u003cbr /\u003e\n\n#### public abstract int\n**getCompressionLevel**\n()\n\n\u003cbr /\u003e\n\n```\n If compression_algorithm is set, the compression level to be used.\n From 0 (no compression), up to 3.\n \n```\n`int32 compression_level = 3;`\n\n\u003cbr /\u003e\n\n#### public abstract boolean\n**getDisableSessionConnectionSharing**\n()\n\n\u003cbr /\u003e\n\n```\n Disables TCP connection sharing when opening a new RPC channel.\n \n```\n`bool disable_session_connection_sharing = 5;`\n\n\u003cbr /\u003e\n\n#### public abstract boolean\n**getUseRpcForInprocessMaster**\n()\n\n\u003cbr /\u003e\n\n```\n If true, always use RPC to contact the session target.\n If false (the default option), TensorFlow may use an optimized\n transport for client-master communication that avoids the RPC\n stack. This option is primarily for used testing the RPC stack.\n \n```\n`bool use_rpc_for_inprocess_master = 1;`\n\n\u003cbr /\u003e"]]