RunOptions.Experimental.Builder

общедоступный статический конечный класс RunOptions.Experimental.Builder

 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
Тип protobuf tensorflow.RunOptions.Experimental

Публичные методы

RunOptions.Experimental.Builder
addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
RunOptions.Экспериментальный
строить ()
RunOptions.Экспериментальный
построитьчастичный ()
RunOptions.Experimental.Builder
прозрачный ()
RunOptions.Experimental.Builder
ОчиститьКоллективеГрафКей () 
 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
RunOptions.Experimental.Builder
ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)
RunOptions.Experimental.Builder
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
RunOptions.Experimental.Builder
ClearRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder
ClearUseRunHandlerPool () 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
RunOptions.Experimental.Builder
клон ()
длинный
getCollectiveGraphKey () 
 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
RunOptions.Экспериментальный
getDefaultInstanceForType ()
окончательный статический com.google.protobuf.Descriptors.Descriptor
получитьдескриптор ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
RunOptions.Experimental.RunHandlerPoolOptions
getRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptions.Builder
getRunHandlerPoolOptionsBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder
getRunHandlerPoolOptionsOrBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
логическое значение
getUseRunHandlerPool () 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
логическое значение
хасрунхандлерпулопционс ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
последнее логическое значение
isInitialized ()
RunOptions.Experimental.Builder
mergeFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.Message другое)
RunOptions.Experimental.Builder
mergeRunHandlerPoolOptions (значение RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
окончательный RunOptions.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
RunOptions.Experimental.Builder
setCollectiveGraphKey (длинное значение) 
 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
RunOptions.Experimental.Builder
setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
RunOptions.Experimental.Builder
setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)
RunOptions.Experimental.Builder
setRunHandlerPoolOptions (значение RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder
setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
окончательный RunOptions.Experimental.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
RunOptions.Experimental.Builder
setUseRunHandlerPool (логическое значение) 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

Унаследованные методы

Публичные методы

public RunOptions.Experimental.Builder addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

общедоступная RunOptions.Экспериментальная сборка ()

общедоступный RunOptions.Экспериментальный buildPartial ()

общедоступный RunOptions.Experimental.Builder очистить ()

общедоступный RunOptions.Experimental.Builder ClearCollectiveGraphKey () 

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
int64 collective_graph_key = 1;

общедоступный RunOptions.Experimental.Builder ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)

общедоступный RunOptions.Experimental.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public RunOptions.Experimental.Builder ClearRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

public RunOptions.Experimental.BuildercleUseRunHandlerPool ( ) 

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
bool use_run_handler_pool = 2;

общедоступный клон RunOptions.Experimental.Builder ()

общедоступный длинный getCollectiveGraphKey () 

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
int64 collective_graph_key = 1;

общедоступный RunOptions.Experimental getDefaultInstanceForType ()

общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()

общедоступный com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

public RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

общедоступное логическое значение getUseRunHandlerPool () 

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
bool use_run_handler_pool = 2;

общедоступное логическое значение hasRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

публичное окончательное логическое значение isInitialized ()

общедоступный RunOptions.Experimental.Builder mergeFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски
Исключение IO

общедоступный RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message другое)

public RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (значение RunOptions.Experimental.RunHandlerPoolOptions )

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

общедоступный финальный RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (длинное значение) 

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
int64 collective_graph_key = 1;

public RunOptions.Experimental.Builder setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

public RunOptions.Experimental.Builder setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)

public RunOptions.Experimental.Builder setRunHandlerPoolOptions (значение RunOptions.Experimental.RunHandlerPoolOptions )

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

public RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

общедоступный финальный RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public RunOptions.Experimental.Builder setUseRunHandlerPool (логическое значение) 

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
bool use_run_handler_pool = 2;