RunMetadata

clase final pública RunMetadata

 Metadata output (i.e., non-Tensor) for a single Run() call.
 

Protobuf tipo tensorflow.RunMetadata

Clases anidadas

clase	EjecutarMetadata.Builder		Metadata output (i.e., non-Tensor) for a single Run() call.
clase	EjecutarMetadata.FunctionGraphs		Protobuf tipo tensorflow.RunMetadata.FunctionGraphs
interfaz	RunMetadata.FunctionGraphsOrBuilder

Constantes

entero	COSTE_GRAPH_FIELD_NUMBER
entero	FUNCTION_GRAPHS_FIELD_NUMBER
entero	PARTITION_GRAPHS_FIELD_NUMBER
entero	STEP_STATS_FIELD_NUMBER

Métodos públicos

booleano	es igual (Objeto obj)
CostoGráficoDef	getCostGraph () The cost graph for the computation defined by the run call.
CostGraphDefOrBuilder	getCostGraphOrBuilder () The cost graph for the computation defined by the run call.
RunMetadata estático	getDefaultInstancia ()
Ejecutar metadatos	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
EjecutarMetadata.FunctionGraphs	getFunctionGraphs (índice int) This is only populated for graphs that are run as functions in TensorFlow V2.
entero	getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Lista< RunMetadata.FunctionGraphs >	getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (índice int) This is only populated for graphs that are run as functions in TensorFlow V2.
Lista<? extiende RunMetadata.FunctionGraphsOrBuilder >	getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
	getParserForType ()
GraphDef	getPartitionGraphs (índice int) Graphs of the partitions executed by executors.
entero	getPartitionGraphsCount () Graphs of the partitions executed by executors.
Lista< GraphDef >	getPartitionGraphsList () Graphs of the partitions executed by executors.
GraphDefOrBuilder	getPartitionGraphsOrBuilder (índice int) Graphs of the partitions executed by executors.
Lista<? extiende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
entero	getSerializedSize ()
Estadísticas de pasos	obtenerStepStats () Statistics traced for this step.
StepStatsOrBuilder	getStepStatsOrBuilder () Statistics traced for this step.
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
booleano	tiene CostGraph () The cost graph for the computation defined by the run call.
booleano	tieneStepStats () Statistics traced for this step.
entero	código hash ()
booleano final	está inicializado ()
RunMetadata.Builder estático	newBuilder (prototipo RunMetadata )
RunMetadata.Builder estático	nuevoConstructor ()
EjecutarMetadata.Builder	nuevoBuilderForType ()
RunMetadata estático	parseDelimitedFrom (entrada de InputStream)
RunMetadata estático	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático	parseFrom (datos de ByteBuffer)
RunMetadata estático	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
RunMetadata estático	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático	parseFrom (entrada com.google.protobuf.CodedInputStream)
RunMetadata estático	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático	parseFrom (datos com.google.protobuf.ByteString)
RunMetadata estático	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata estático	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
EjecutarMetadata.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 ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.RunMetadataOrBuilder

resumen CostGraphDef	getCostGraph () The cost graph for the computation defined by the run call.
abstracto CostGraphDefOrBuilder	getCostGraphOrBuilder () The cost graph for the computation defined by the run call.
resumen RunMetadata.FunctionGraphs	getFunctionGraphs (índice int) This is only populated for graphs that are run as functions in TensorFlow V2.
resumen entero	getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2.
Lista abstracta < RunMetadata.FunctionGraphs >	getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2.
abstracto RunMetadata.FunctionGraphsOrBuilder	getFunctionGraphsOrBuilder (índice int) This is only populated for graphs that are run as functions in TensorFlow V2.
Lista abstracta<? extiende RunMetadata.FunctionGraphsOrBuilder >	getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2.
resumen GraphDef	getPartitionGraphs (índice int) Graphs of the partitions executed by executors.
resumen entero	getPartitionGraphsCount () Graphs of the partitions executed by executors.
Lista abstracta < GraphDef >	getPartitionGraphsList () Graphs of the partitions executed by executors.
abstracto GraphDefOrBuilder	getPartitionGraphsOrBuilder (índice int) Graphs of the partitions executed by executors.
Lista abstracta<? extiende GraphDefOrBuilder >	getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors.
estadísticas de pasos abstractas	obtenerStepStats () Statistics traced for this step.
resumen StepStatsOrBuilder	getStepStatsOrBuilder () Statistics traced for this step.
booleano abstracto	tiene CostGraph () The cost graph for the computation defined by the run call.
booleano abstracto	tieneStepStats () Statistics traced for this step.

Constantes

int final estático público COST_GRAPH_FIELD_NUMBER

Valor constante: 2

int final estático público FUNCTION_GRAPHS_FIELD_NUMBER

Valor constante: 4

int final estático público PARTITION_GRAPHS_FIELD_NUMBER

Valor constante: 3

int final estático público STEP_STATS_FIELD_NUMBER

Valor constante: 1

Métodos públicos

público booleano es igual (Objeto obj)

público CostGraphDef getCostGraph ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

público CostGraphDefOrBuilder getCostGraphOrBuilder ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

RunMetadata estática pública getDefaultInstance ()

RunMetadata público getDefaultInstanceForType ()

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

público RunMetadata.FunctionGraphs getFunctionGraphs (índice int)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

público int getFunctionGraphsCount ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Lista pública< RunMetadata.FunctionGraphs > getFunctionGraphsList ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

público RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (índice int)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

Lista pública<? extiende RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 

repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

público getParserForType ()

público GraphDef getPartitionGraphs (índice int)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

público int getPartitionGraphsCount ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Lista pública< GraphDef > getPartitionGraphsList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

público GraphDefOrBuilder getPartitionGraphsOrBuilder (índice int)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Lista pública<? extiende GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

público int getSerializedSize ()

StepStats públicas getStepStats ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

público StepStatsOrBuilder getStepStatsOrBuilder ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

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

hasCostGraph booleano público ()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

hasStepStats booleano público ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 

.tensorflow.StepStats step_stats = 1;

código hash int público ()

público final booleano isInitialized ()

RunMetadata.Builder estático público newBuilder (prototipo RunMetadata )

público estático RunMetadata.Builder newBuilder ()

público RunMetadata.Builder newBuilderForType ()

RunMetadata público estático parseDelimitedFrom (entrada de InputStream)

Lanza

IOExcepción

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

Lanza

IOExcepción

Análisis RunMetadata estático público desde (datos ByteBuffer)

Lanza

Excepción de buffer de protocolo no válido

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

Lanza

IOExcepción

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

Lanza

Excepción de buffer de protocolo no válido

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

Lanza

IOExcepción

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

Lanza

Excepción de buffer de protocolo no válido

ParseFrom público estático RunMetadata (datos com.google.protobuf.ByteString)

Lanza

Excepción de buffer de protocolo no válido

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

Lanza

IOExcepción

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

Lanza

Excepción de buffer de protocolo no válido

estática pública analizador ()

público RunMetadata.Builder toBuilder ()

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

Lanza

IOExcepción