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

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 estático público 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