RunMetadata.FunctionGraphs

classe final estática pública RunMetadata.FunctionGraphs

Tipo de protobuf tensorflow.RunMetadata.FunctionGraphs

Classes aninhadas

aula

RunMetadata.FunctionGraphs.Builder

Tipo de protobuf tensorflow.RunMetadata.FunctionGraphs

Constantes

interno	PARTITION_GRAPHS_FIELD_NUMBER
interno	POST_OPTIMIZATION_GRAPH_FIELD_NUMBER
interno	PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Métodos Públicos

boleano	é igual (objeto obj)
RunMetadata.FunctionGraphs estático	getDefaultInstance ()
RunMetadata.FunctionGraphs	getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
	getParserForType ()
GráficoDef	getPartitionGraphs (índice interno) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
interno	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 interno) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista<? estende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
GráficoDef	getPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
GraphDefOrBuilder	getPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
GráficoDef	getPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
GraphDefOrBuilder	getPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
interno	getSerializedSize ()
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
boleano	hasPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
boleano	hasPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
interno	código hash ()
booleano final	éinicializado ()
RunMetadata.FunctionGraphs.Builder estático	newBuilder (protótipo RunMetadata.FunctionGraphs )
RunMetadata.FunctionGraphs.Builder estático	novoConstrutor ()
RunMetadata.FunctionGraphs.Builder	novoBuilderForType ()
RunMetadata.FunctionGraphs estático	parseDelimitedFrom (entrada InputStream)
RunMetadata.FunctionGraphs estático	parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs estático	parseFrom (dados de ByteBuffer)
RunMetadata.FunctionGraphs estático	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs estático	parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs estático	parseFrom (entrada com.google.protobuf.CodedInputStream)
RunMetadata.FunctionGraphs estático	parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs estático	parseFrom (dados com.google.protobuf.ByteString)
RunMetadata.FunctionGraphs estático	parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.FunctionGraphs estático	parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático	analisador ()
RunMetadata.FunctionGraphs.Builder	paraConstrutor ()
vazio	writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Da classe java.lang.Object

boleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	para sequenciar ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface org.tensorflow.proto.framework.RunMetadata.FunctionGraphsOrBuilder

resumo GraphDef	getPartitionGraphs (índice interno) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
abstrato int	getPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
Lista abstrata< GraphDef >	getPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
resumo GraphDefOrBuilder	getPartitionGraphsOrBuilder (índice interno) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
lista abstrata<? estende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1;
resumo GraphDef	getPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
resumo GraphDefOrBuilder	getPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3;
resumo GraphDef	getPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;
resumo GraphDefOrBuilder	getPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2;
booleano abstrato	hasPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3;
booleano abstrato	hasPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2;

Constantes

público estático final int PARTITION_GRAPHS_FIELD_NUMBER

Valor Constante: 1

público estático final int POST_OPTIMIZATION_GRAPH_FIELD_NUMBER

Valor Constante: 3

público estático final int PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER

Valor Constante: 2

Métodos Públicos

booleano público é igual (Object obj)

público estático RunMetadata.FunctionGraphs getDefaultInstance ()

público RunMetadata.FunctionGraphs getDefaultInstanceForType ()

final estático público 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<? estende 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;

público GraphDef getPreOptimizationGraph ()

.tensorflow.GraphDef pre_optimization_graph = 2;

público GraphDefOrBuilder getPreOptimizationGraphOrBuilder ()

.tensorflow.GraphDef pre_optimization_graph = 2;

público int getSerializedSize ()

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

hasPostOptimizationGraph booleano público ()

.tensorflow.GraphDef post_optimization_graph = 3;

hasPreOptimizationGraph booleano público ()

.tensorflow.GraphDef pre_optimization_graph = 2;

hashCode int público ()

público final booleano isInitialized ()

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

público estático RunMetadata.FunctionGraphs.Builder newBuilder ()

público RunMetadata.FunctionGraphs.Builder newBuilderForType ()

public static RunMetadata.FunctionGraphs parseDelimitedFrom (entrada InputStream)

Lança

IOException

public static RunMetadata.FunctionGraphs parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

IOException

público estático RunMetadata.FunctionGraphs parseFrom (dados ByteBuffer)

Lança

InvalidProtocolBufferException

public static RunMetadata.FunctionGraphs parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

IOException

public static RunMetadata.FunctionGraphs parseFrom (dados ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

InvalidProtocolBufferException

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

Lança

IOException

public static RunMetadata.FunctionGraphs parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

InvalidProtocolBufferException

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

Lança

InvalidProtocolBufferException

public static RunMetadata.FunctionGraphs parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

IOException

public static RunMetadata.FunctionGraphs parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

InvalidProtocolBufferException

estática pública analisador ()

público RunMetadata.FunctionGraphs.Builder toBuilder ()

public void writeTo (saída com.google.protobuf.CodedOutputStream)

Lança

IOException