XPlaneOrBuilder

interfaz pública XPlaneOrBuilder
Subclases indirectas conocidas

Métodos públicos

booleano abstracto
contieneEventMetadata (clave larga)
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
booleano abstracto
contieneStatMetadata (clave larga)
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
Mapa abstracto<Largo, XEventMetadata >
getEventMetadata ()
Utilice getEventMetadataMap() en su lugar.
resumen entero
getEventMetadataCount ()
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
Mapa abstracto<Largo, XEventMetadata >
getEventMetadataMap ()
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
resumen XEventMetadata
getEventMetadataOrDefault (clave larga, valor predeterminado de XEventMetadata )
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
resumen XEventMetadata
getEventMetadataOrThrow (tecla larga)
 XEventMetadata map, each entry uses the XEventMetadata.id as key.
abstracto largo
obtenerId ()
int64 id = 1;
línea XL abstracta
getLines (índice int)
 Parallel timelines grouped in this plane.
resumen entero
getLinesCount ()
 Parallel timelines grouped in this plane.
Lista abstracta <XLine>
getLista de líneas ()
 Parallel timelines grouped in this plane.
abstracto XLineOrBuilder
getLinesOrBuilder (índice int)
 Parallel timelines grouped in this plane.
Lista abstracta<? extiende XLineOrBuilder >
getLinesOrBuilderList ()
 Parallel timelines grouped in this plane.
cadena abstracta
obtenerNombre ()
 Name of this line.
resumen com.google.protobuf.ByteString
getNombreBytes ()
 Name of this line.
Mapa abstracto<Largo, XStatMetadata >
getStatMetadata ()
Utilice getStatMetadataMap() en su lugar.
resumen entero
getStatMetadataCount ()
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
Mapa abstracto<Largo, XStatMetadata >
getStatMetadataMap ()
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
resumen XStatMetadata
getStatMetadataOrDefault (clave larga, valor predeterminado de XStatMetadata )
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
resumen XStatMetadata
getStatMetadataOrThrow (tecla larga)
 XStatMetadata map, each entry uses the XStatMetadata.id as key.
resumen XStat
getStats (índice int)
 XStats associated with this plane, e.g.
resumen entero
getStatsCount ()
 XStats associated with this plane, e.g.
Lista abstracta< XStat >
obtenerListaEstadísticas ()
 XStats associated with this plane, e.g.
abstracto XStatOrBuilder
getStatsOrBuilder (índice int)
 XStats associated with this plane, e.g.
Lista abstracta<? extiende XStatOrBuilder >
getStatsOrBuilderList ()
 XStats associated with this plane, e.g.

Métodos públicos

booleano abstracto público contieneEventMetadata (clave larga)

mapa

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

booleano abstracto público contieneStatMetadata (clave larga)

mapa

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

Mapa abstracto público<Long, XEventMetadata > getEventMetadata ()

Utilice getEventMetadataMap() en su lugar.

resumen público int getEventMetadataCount ()

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

Mapa abstracto público<Long, XEventMetadata > getEventMetadataMap ()

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

resumen público XEventMetadata getEventMetadataOrDefault (clave larga, XEventMetadata defaultValue)

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

resumen público XEventMetadata getEventMetadataOrThrow (clave larga)

mapa

 XEventMetadata map, each entry uses the XEventMetadata.id as key. This map
 should be used for events that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XEventMetadata> event_metadata = 4;

getId largo abstracto público ()

int64 id = 1;

resumen público XLine getLines (índice int)

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
 
repeated .tensorflow.profiler.XLine lines = 3;

resumen público int getLinesCount ()

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
 
repeated .tensorflow.profiler.XLine lines = 3;

Lista de resumen público <XLine> getLinesList ()

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
 
repeated .tensorflow.profiler.XLine lines = 3;

resumen público XLineOrBuilder getLinesOrBuilder (índice int)

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
 
repeated .tensorflow.profiler.XLine lines = 3;

Lista de resúmenes públicos <? extiende XLineOrBuilder > getLinesOrBuilderList ()

 Parallel timelines grouped in this plane. XLines with the same id
 are effectively the same timeline.
 
repeated .tensorflow.profiler.XLine lines = 3;

Cadena abstracta pública getName ()

 Name of this line.
 
string name = 2;

resumen público com.google.protobuf.ByteString getNameBytes ()

 Name of this line.
 
string name = 2;

Mapa abstracto público<Long, XStatMetadata > getStatMetadata ()

Utilice getStatMetadataMap() en su lugar.

resumen público int getStatMetadataCount ()

mapa

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

Mapa abstracto público<Long, XStatMetadata > getStatMetadataMap ()

mapa

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

resumen público XStatMetadata getStatMetadataOrDefault (clave larga, XStatMetadata defaultValue)

mapa

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

resumen público XStatMetadata getStatMetadataOrThrow (clave larga)

 XStatMetadata map, each entry uses the XStatMetadata.id as key. This map
 should be used for stats that share the same ID over the whole XPlane.
 
map<int64, .tensorflow.profiler.XStatMetadata> stat_metadata = 5;

resumen público XStat getStats (índice int)

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
 
repeated .tensorflow.profiler.XStat stats = 6;

resumen público int getStatsCount ()

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
 
repeated .tensorflow.profiler.XStat stats = 6;

Lista abstracta pública< XStat > getStatsList ()

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
 
repeated .tensorflow.profiler.XStat stats = 6;

resumen público XStatOrBuilder getStatsOrBuilder (índice int)

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
 
repeated .tensorflow.profiler.XStat stats = 6;

Lista de resúmenes públicos <? extiende XStatOrBuilder > getStatsOrBuilderList ()

 XStats associated with this plane, e.g. device capabilities.
 Each of these XStats should have a different metadata_id.
 
repeated .tensorflow.profiler.XStat stats = 6;