RunOptions.Experimental.Builder

classe finale statica pubblica 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.
 

Tipo di protocollo tensorflow.RunOptions.Experimental

Metodi pubblici

RunOptions.Experimental.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
RunOptions.Experimental	costruire ()
RunOptions.Experimental	buildPartial ()
RunOptions.Experimental.Builder	chiaro ()
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	clone ()
lungo	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 statico finale	getDescrittore ()
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 finale	èinizializzato ()
RunOptions.Experimental.Builder	mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
RunOptions.Experimental.Builder	mergeFrom (com.google.protobuf.Message altro)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions (valore RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
finale RunOptions.Experimental.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
RunOptions.Experimental.Builder	setCollectiveGraphKey (valore lungo) 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, valore oggetto)
RunOptions.Experimental.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
RunOptions.Experimental.Builder	setRunHandlerPoolOptions (valore 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;
finale RunOptions.Experimental.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
RunOptions.Experimental.Builder	setUseRunHandlerPool (valore 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.

Metodi ereditati

Dalla classe java.lang.Object

booleano	è uguale a (Oggetto arg0)
Classe finale<?>	getClass ()
int	codicehash ()
vuoto finale	avvisare ()
vuoto finale	notificaTutti ()
Corda	aStringa ()
vuoto finale	attendere (lungo arg0, int arg1)
vuoto finale	aspetta (lungo arg0)
vuoto finale	Aspettare ()

Dall'interfaccia org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder

astratto lungo	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).
abstract RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
abstract RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
booleano astratto	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 astratto	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Metodi pubblici

public RunOptions.Experimental.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

build pubblica RunOptions.Experimental ()

public RunOptions.Experimental buildPartial ()

pubblico RunOptions.Experimental.Builder chiaro ()

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 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)

pubblico RunOptions.Experimental.Builder clearRunHandlerPoolOptions ()

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

pubblico 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;

clone pubblico RunOptions.Experimental.Builder ()

pubblico lungo 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;

pubblico RunOptions.Experimental getDefaultInstanceForType ()

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

pubblico 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;

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

bool use_run_handler_pool = 2;

pubblico booleano hasRunHandlerPoolOptions ()

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

public final booleano isInitialized ()

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

Lancia

IOException

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

pubblico RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (valore RunOptions.Experimental.RunHandlerPoolOptions )

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

pubblico finale RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (valore lungo)

 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

public RunOptions.Experimental.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)

pubblico RunOptions.Experimental.Builder setRunHandlerPoolOptions (valore 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;

pubblico finale RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public RunOptions.Experimental.Builder setUseRunHandlerPool (valore 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;