RunMetadata.FunctionGraphs

clase final estática pública RunMetadata.FunctionGraphs

Protobuf tipo tensorflow.RunMetadata.FunctionGraphs

Clases anidadas

clase

RunMetadata.FunctionGraphs.Builder

Protobuf tipo tensorflow.RunMetadata.FunctionGraphs

Constantes

En t	PARTITION_GRAPHS_FIELD_NUMBER
En t	POST_OPTIMIZATION_GRAPH_FIELD_NUMBER
En t	PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Métodos públicos

booleano	es igual (Objeto obj)
RunMetadata estático.FunctionGraphs	getDefaultInstancia ()
EjecutarMetadata.FunctionGraphs	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
	getParserForType ()
GraphDef	getPartitionGraphs (índice int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
En t	getPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista< GraphDef >	getPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDefOrBuilder	getPartitionGraphsOrBuilder (índice int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista<? extiende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GraphDef	getPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
GraphDefOrBuilder	getPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
GraphDef	getPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
GraphDefOrBuilder	getPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
En t	getSerializedSize ()
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
booleano	tienePostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
booleano	tienePreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
En t	código hash ()
booleano final	está inicializado ()
estático RunMetadata.FunctionGraphs.Builder	newBuilder (prototipo RunMetadata.FunctionGraphs )
estático RunMetadata.FunctionGraphs.Builder	nuevoConstructor ()
RunMetadata.FunctionGraphs.Builder	nuevoBuilderForType ()
RunMetadata estático.FunctionGraphs	parseDelimitedFrom (entrada de InputStream)
RunMetadata estático.FunctionGraphs	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático.FunctionGraphs	parseFrom (datos de ByteBuffer)
RunMetadata estático.FunctionGraphs	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
RunMetadata estático.FunctionGraphs	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático.FunctionGraphs	parseFrom (entrada com.google.protobuf.CodedInputStream)
RunMetadata estático.FunctionGraphs	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático.FunctionGraphs	parseFrom (datos com.google.protobuf.ByteString)
RunMetadata estático.FunctionGraphs	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático.FunctionGraphs	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
RunMetadata.FunctionGraphs.Builder	al constructor ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
En t	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	Encadenar ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder

resumen GraphDef	getPartitionGraphs (índice int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
resumen entero	getPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista abstracta < GraphDef >	getPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
abstracto GraphDefOrBuilder	getPartitionGraphsOrBuilder (índice int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista abstracta<? extiende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
resumen GraphDef	getPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
abstracto GraphDefOrBuilder	getPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
resumen GraphDef	getPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
abstracto GraphDefOrBuilder	getPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
booleano abstracto	tienePostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
booleano abstracto	tienePreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;

Constantes

int final estático público PARTITION_GRAPHS_FIELD_NUMBER

Valor constante: 1

int final estático público POST_OPTIMIZATION_GRAPH_FIELD_NUMBER

Valor constante: 3

público estático final int PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Valor constante: 2

Métodos públicos

público booleano es igual (Objeto obj)

RunMetadata.FunctionGraphs estático público getDefaultInstance ()

público RunMetadata.FunctionGraphs getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

público getParserForType ()

público GraphDef getPartitionGraphs (índice int)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

público int getPartitionGraphsCount ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

Lista pública< GraphDef > getPartitionGraphsList ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

público GraphDefOrBuilder getPartitionGraphsOrBuilder (índice int)

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

Lista pública<? extiende GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 TODO(nareshmodi): Include some sort of function/cache-key identifier?
 

repeated .tensorflow.GraphDef partition_graphs = 1;

público GraphDef getPostOptimizationGraph ()

.tensorflow.GraphDef post_optimization_graph = 3;

público GraphDefOrBuilder getPostOptimizationGraphOrBuilder ()

.tensorflow.GraphDef post_optimization_graph = 3;

public GraphDef getPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

público GraphDefOrBuilder getPreOptimizationGraphOrBuilder ()

.tensorflow.GraphDef pre_optimization_graph = 2;

público int getSerializedSize ()

público final com.google.protobuf.UnknownFieldSet getUnknownFields ()

hasPostOptimizationGraph booleano público ()

.tensorflow.GraphDef post_optimization_graph = 3;

hasPreOptimizationGraph booleano público ()

.tensorflow.GraphDef pre_optimization_graph = 2;

código hash int público ()

público final booleano isInitialized ()

público estático RunMetadata.FunctionGraphs.Builder newBuilder (prototipo RunMetadata.FunctionGraphs )

público estático RunMetadata.FunctionGraphs.Builder newBuilder ()

público RunMetadata.FunctionGraphs.Builder newBuilderForType ()

RunMetadata.FunctionGraphs estático público parseDelimitedFrom (entrada de InputStream)

Lanza

IOExcepción

RunMetadata.FunctionGraphs estático público parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

RunMetadata.FunctionGraphs estático público parseFrom (datos ByteBuffer)

Lanza

Excepción de buffer de protocolo no válido

RunMetadata.FunctionGraphs parseFrom estático público (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

RunMetadata.FunctionGraphs estático público parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

RunMetadata.FunctionGraphs parseFrom estático público (entrada com.google.protobuf.CodedInputStream)

Lanza

IOExcepción

RunMetadata.FunctionGraphs estático público parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

RunMetadata.FunctionGraphs parseFrom estático público (datos com.google.protobuf.ByteString)

Lanza

Excepción de buffer de protocolo no válido

RunMetadata.FunctionGraphs estático público parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

RunMetadata.FunctionGraphs estático público parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

estática pública analizador ()

público RunMetadata.FunctionGraphs.Builder toBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

Lanza

IOExcepción