RunOptions.Experimental.Builder

clase final estática pública 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.
 

Protobuf tipo tensorflow.RunOptions.Experimental

Métodos públicos

RunOptions.Experimental.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
RunOptions.Experimental	construir ()
RunOptions.Experimental	buildPartial ()
RunOptions.Experimental.Builder	claro ()
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).
RunOptions.Experimental.Builder	clearField (campo 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	clon ()
largo	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.Experimental	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	getDescriptor ()
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;
booleano	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.
booleano	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
booleano final	isInitialized ()
RunOptions.Experimental.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder	mergeFrom (com.google.protobuf.Message otro)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions (valor RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
RunOptions.Experimental.Builder	setCollectiveGraphKey (valor largo) 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
RunOptions.Experimental.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
RunOptions.Experimental.Builder	setRunHandlerPoolOptions (valor 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;
RunOptions.Experimental.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
RunOptions.Experimental.Builder	setUseRunHandlerPool (valor booleano) If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.

Métodos heredados

De la clase java.lang.Object

booleano	es igual a (Objeto arg0)
Clase final <?>	getClass ()
En t	hashCode ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cuerda	toString ()
vacío final	esperar (largo arg0, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder

abstracto largo	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).
resumen RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
resumen RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
booleano abstracto	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.
booleano abstracto	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Métodos públicos

public RunOptions.Experimental.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

public RunOptions.Experimental build ()

public RunOptions.Experimental buildPartial ()

public RunOptions.Experimental.Builder clear ()

public 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 int64 collective_graph_key = 1;

public RunOptions.Experimental.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

public 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.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.
 Consider using this option for CPU-bound workloads like inference.
 

bool use_run_handler_pool = 2;

public RunOptions.Experimental.Builder clone ()

public long 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 int64 collective_graph_key = 1;

public RunOptions.Experimental getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public 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;

public boolean 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;

public boolean hasRunHandlerPoolOptions ()

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

public final boolean isInitialized ()

public RunOptions.Experimental.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOException

public RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message other)

public RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (valor de RunOptions.Experimental.RunHandlerPoolOptions )

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

public final RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (valor largo)

 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 int64 collective_graph_key = 1;

public RunOptions.Experimental.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

public RunOptions.Experimental.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

public RunOptions.Experimental.Builder setRunHandlerPoolOptions (valor 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;

público final RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public RunOptions.Experimental.Builder setUseRunHandlerPool (valor booleano)

 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;