BenchmarkEntry.Builder

clase final estática pública BenchmarkEntry.Builder

 Each unit test or benchmark in a test or benchmark run provides
 some set of information.  Here we provide some reasonable keys
 one would expect to see, with optional key/value pairs for things
 we haven't considered.
 This BenchmarkEntry should be emitted by each unit test or benchmark
 reporter.
Protobuf tipo tensorflow.BenchmarkEntry

Métodos públicos

BenchmarkEntry.Builder
addAllMetrics (Iterable<? extiende los valores de MetricEntry >)
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (índice int, MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (índice int, valor de MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (valor de entrada de métrica )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics ( MetricEntry.Builder constructorForValue)
 Metric name, value and expected range.
Entrada de métrica.Constructor
addMetricsBuilder (índice int)
 Metric name, value and expected range.
Entrada de métrica.Constructor
agregarMetricsBuilder ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
Entrada de referencia
construir ()
Entrada de referencia
construirPartial ()
BenchmarkEntry.Builder
claro ()
BenchmarkEntry.Builder
borrarCpuTime ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry.Builder
borrarExtras ()
BenchmarkEntry.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BenchmarkEntry.Builder
borradores ()
 If a benchmark, how many iterations it was run for
int64 iters = 2;
BenchmarkEntry.Builder
borrarMetrics ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
borrar nombre ()
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
BenchmarkEntry.Builder
borrar rendimiento ()
 Throughput (in MB/s)
double throughput = 5;
BenchmarkEntry.Builder
borrarWallTime ()
 Total wall time used for all iterations (in seconds)
double wall_time = 4;
BenchmarkEntry.Builder
clonar ()
booleano
contieneExtras (clave de cadena)
 Generic map from result key to value.
doble
obtenerTiempoCpu ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
Entrada de referencia
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Mapa<Cadena, Valor de entrada >
obtenerExtras ()
Utilice getExtrasMap() en su lugar.
En t
obtenerConteoExtras ()
 Generic map from result key to value.
Mapa<Cadena, Valor de entrada >
obtenerMapaExtras ()
 Generic map from result key to value.
Valor de entrada
getExtrasOrDefault (clave de cadena, EntryValue valor predeterminado)
 Generic map from result key to value.
Valor de entrada
getExtrasOrThrow (clave de cadena)
 Generic map from result key to value.
largo
getIters ()
 If a benchmark, how many iterations it was run for
int64 iters = 2;
Entrada de métrica
getMetrics (índice int)
 Metric name, value and expected range.
Entrada de métrica.Constructor
getMetricsBuilder (índice int)
 Metric name, value and expected range.
Lista< MetricEntry.Builder >
getMetricsBuilderList ()
 Metric name, value and expected range.
En t
getMetricsCount ()
 Metric name, value and expected range.
Lista< Entrada de métrica >
getLista de métricas ()
 Metric name, value and expected range.
MétricaEntradaOrBuilder
getMetricsOrBuilder (índice int)
 Metric name, value and expected range.
Lista<? extiende MetricEntryOrBuilder >
getMetricsOrBuilderList ()
 Metric name, value and expected range.
Mapa<Cadena, Valor de entrada >
obtenerMutableExtras ()
Utilice descriptores de acceso de mutación alternativos en su lugar.
Cadena
obtenerNombre ()
 The name of the specific benchmark or test
 (e.g.
com.google.protobuf.ByteString
getNombreBytes ()
 The name of the specific benchmark or test
 (e.g.
doble
obtener rendimiento ()
 Throughput (in MB/s)
double throughput = 5;
doble
obtenerWallTime ()
 Total wall time used for all iterations (in seconds)
double wall_time = 4;
booleano final
está inicializado ()
BenchmarkEntry.Builder
mergeFrom (com.google.protobuf.Message otro)
BenchmarkEntry.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
BenchmarkEntry.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BenchmarkEntry.Builder
putAllExtras (Mapa<Cadena, ValorEntrada > valores)
 Generic map from result key to value.
BenchmarkEntry.Builder
putExtras (clave de cadena, valor EntryValue )
 Generic map from result key to value.
BenchmarkEntry.Builder
eliminarExtras (tecla de cadena)
 Generic map from result key to value.
BenchmarkEntry.Builder
removeMetrics (índice int)
 Metric name, value and expected range.
BenchmarkEntry.Builder
setCpuTime (valor doble)
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
BenchmarkEntry.Builder
setIters (valor largo)
 If a benchmark, how many iterations it was run for
int64 iters = 2;
BenchmarkEntry.Builder
setMetrics (índice int, MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
BenchmarkEntry.Builder
setMetrics (índice int, valor de MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
setName (valor de cadena)
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
setNameBytes (valor com.google.protobuf.ByteString)
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
BenchmarkEntry.Builder
setThroughput (valor doble)
 Throughput (in MB/s)
double throughput = 5;
BenchmarkEntry.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BenchmarkEntry.Builder
setWallTime (valor doble)
 Total wall time used for all iterations (in seconds)
double wall_time = 4;

Métodos heredados

Métodos públicos

público BenchmarkEntry.Builder addAllMetrics (Iterable<? extiende los valores de MetricEntry >) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (índice int, MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (índice int, valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics ( MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder addMetricsBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder addMetricsBuilder () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

compilación pública de BenchmarkEntry ()

Public BenchmarkEntry buildPartial ()

público BenchmarkEntry.Builder claro ()

público BenchmarkEntry.Builder clearCpuTime () 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

público BenchmarkEntry.Builder clearExtras ()

público BenchmarkEntry.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

clearIters públicos de BenchmarkEntry.Builder () 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

público BenchmarkEntry.Builder clearMetrics () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

pública BenchmarkEntry.Builder clearName () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

pública BenchmarkEntry.Builder clearThroughput () 

 Throughput (in MB/s)
double throughput = 5;

público BenchmarkEntry.Builder clearWallTime () 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;

clon público de BenchmarkEntry.Builder ()

booleano público contieneExtras (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público doble getCpuTime () 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

entrada de referencia pública getDefaultInstanceForType ()

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

público com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

Mapa público<Cadena, Valor de entrada > getExtras ()

Utilice getExtrasMap() en su lugar.

public int getExtrasCount () 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

Mapa público<Cadena, Valor de entrada > getExtrasMap () 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público EntryValue getExtrasOrDefault (clave de cadena, EntryValue defaultValue) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público EntryValue getExtrasOrThrow (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

getIters públicos largos () 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

Métrica pública getMetrics (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder getMetricsBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública< MetricEntry.Builder > getMetricsBuilderList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público int getMetricsCount () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública <EntradaMetric> getMetricsList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntryOrBuilder getMetricsOrBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública<? extiende MetricEntryOrBuilder > getMetricsOrBuilderList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Mapa público<Cadena, Valor de entrada > getMutableExtras ()

Utilice descriptores de acceso de mutación alternativos en su lugar.

cadena pública getName () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público com.google.protobuf.ByteString getNameBytes () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

getThroughput doble público () 

 Throughput (in MB/s)
double throughput = 5;

público doble getWallTime () 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;

público final booleano isInitialized ()

público BenchmarkEntry.Builder mergeFrom (com.google.protobuf.Message otro)

público BenchmarkEntry.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza
IOExcepción

BenchmarkEntry.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público BenchmarkEntry.Builder putAllExtras (Map<String, EntryValue > valores) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder putExtras (clave de cadena, valor EntryValue ) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder removeExtras (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder removeMetrics (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setCpuTime (valor doble) 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

público BenchmarkEntry.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

setIters públicos de BenchmarkEntry.Builder (valor largo) 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

público BenchmarkEntry.Builder setMetrics (índice int, MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setMetrics (índice int, valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setName (valor de cadena) 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder setNameBytes (valor com.google.protobuf.ByteString) 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público BenchmarkEntry.Builder setThroughput (valor doble) 

 Throughput (in MB/s)
double throughput = 5;

BenchmarkEntry.Builder final público setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público BenchmarkEntry.Builder setWallTime (valor doble) 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;

,
clase final estática pública BenchmarkEntry.Builder

 Each unit test or benchmark in a test or benchmark run provides
 some set of information.  Here we provide some reasonable keys
 one would expect to see, with optional key/value pairs for things
 we haven't considered.
 This BenchmarkEntry should be emitted by each unit test or benchmark
 reporter.
Protobuf tipo tensorflow.BenchmarkEntry

Métodos públicos

BenchmarkEntry.Builder
addAllMetrics (Iterable<? extiende los valores de MetricEntry >)
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (índice int, MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (índice int, valor de MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (valor de entrada de métrica )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics ( MetricEntry.Builder constructorForValue)
 Metric name, value and expected range.
Entrada de métrica.Constructor
addMetricsBuilder (índice int)
 Metric name, value and expected range.
Entrada de métrica.Constructor
agregarMetricsBuilder ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
Entrada de referencia
construir ()
Entrada de referencia
construirPartial ()
BenchmarkEntry.Builder
claro ()
BenchmarkEntry.Builder
borrarCpuTime ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry.Builder
borrarExtras ()
BenchmarkEntry.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BenchmarkEntry.Builder
borradores ()
 If a benchmark, how many iterations it was run for
int64 iters = 2;
BenchmarkEntry.Builder
borrarMetrics ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
borrar nombre ()
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
BenchmarkEntry.Builder
borrar rendimiento ()
 Throughput (in MB/s)
double throughput = 5;
BenchmarkEntry.Builder
borrarWallTime ()
 Total wall time used for all iterations (in seconds)
double wall_time = 4;
BenchmarkEntry.Builder
clonar ()
booleano
contieneExtras (clave de cadena)
 Generic map from result key to value.
doble
obtenerTiempoCpu ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
Entrada de referencia
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Mapa<Cadena, Valor de entrada >
obtenerExtras ()
Utilice getExtrasMap() en su lugar.
En t
obtenerConteoExtras ()
 Generic map from result key to value.
Mapa<Cadena, Valor de entrada >
obtenerMapaExtras ()
 Generic map from result key to value.
Valor de entrada
getExtrasOrDefault (clave de cadena, EntryValue valor predeterminado)
 Generic map from result key to value.
Valor de entrada
getExtrasOrThrow (clave de cadena)
 Generic map from result key to value.
largo
getIters ()
 If a benchmark, how many iterations it was run for
int64 iters = 2;
Entrada de métrica
getMetrics (índice int)
 Metric name, value and expected range.
Entrada de métrica.Constructor
getMetricsBuilder (índice int)
 Metric name, value and expected range.
Lista< MetricEntry.Builder >
getMetricsBuilderList ()
 Metric name, value and expected range.
En t
getMetricsCount ()
 Metric name, value and expected range.
Lista< Entrada de métrica >
getLista de métricas ()
 Metric name, value and expected range.
MétricaEntradaOrBuilder
getMetricsOrBuilder (índice int)
 Metric name, value and expected range.
Lista<? extiende MetricEntryOrBuilder >
getMetricsOrBuilderList ()
 Metric name, value and expected range.
Mapa<Cadena, Valor de entrada >
obtenerMutableExtras ()
Utilice descriptores de acceso de mutación alternativos en su lugar.
Cadena
obtenerNombre ()
 The name of the specific benchmark or test
 (e.g.
com.google.protobuf.ByteString
getNombreBytes ()
 The name of the specific benchmark or test
 (e.g.
doble
obtener rendimiento ()
 Throughput (in MB/s)
double throughput = 5;
doble
obtenerWallTime ()
 Total wall time used for all iterations (in seconds)
double wall_time = 4;
booleano final
está inicializado ()
BenchmarkEntry.Builder
mergeFrom (com.google.protobuf.Message otro)
BenchmarkEntry.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
BenchmarkEntry.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BenchmarkEntry.Builder
putAllExtras (Mapa<Cadena, ValorEntrada > valores)
 Generic map from result key to value.
BenchmarkEntry.Builder
putExtras (clave de cadena, valor EntryValue )
 Generic map from result key to value.
BenchmarkEntry.Builder
eliminarExtras (tecla de cadena)
 Generic map from result key to value.
BenchmarkEntry.Builder
removeMetrics (índice int)
 Metric name, value and expected range.
BenchmarkEntry.Builder
setCpuTime (valor doble)
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
BenchmarkEntry.Builder
setIters (valor largo)
 If a benchmark, how many iterations it was run for
int64 iters = 2;
BenchmarkEntry.Builder
setMetrics (índice int, MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
BenchmarkEntry.Builder
setMetrics (índice int, valor de MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
setName (valor de cadena)
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
setNameBytes (valor com.google.protobuf.ByteString)
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
BenchmarkEntry.Builder
setThroughput (valor doble)
 Throughput (in MB/s)
double throughput = 5;
BenchmarkEntry.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
BenchmarkEntry.Builder
setWallTime (valor doble)
 Total wall time used for all iterations (in seconds)
double wall_time = 4;

Métodos heredados

Métodos públicos

público BenchmarkEntry.Builder addAllMetrics (Iterable<? extiende los valores de MetricEntry >) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (índice int, MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (índice int, valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics (valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addMetrics ( MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder addMetricsBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder addMetricsBuilder () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

compilación pública de BenchmarkEntry ()

Public BenchmarkEntry buildPartial ()

público BenchmarkEntry.Builder claro ()

público BenchmarkEntry.Builder clearCpuTime () 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

público BenchmarkEntry.Builder clearExtras ()

público BenchmarkEntry.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

clearIters públicos de BenchmarkEntry.Builder () 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

público BenchmarkEntry.Builder clearMetrics () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

pública BenchmarkEntry.Builder clearName () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

pública BenchmarkEntry.Builder clearThroughput () 

 Throughput (in MB/s)
double throughput = 5;

público BenchmarkEntry.Builder clearWallTime () 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;

clon público de BenchmarkEntry.Builder ()

booleano público contieneExtras (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público doble getCpuTime () 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

entrada de referencia pública getDefaultInstanceForType ()

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

público com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

Mapa público<Cadena, Valor de entrada > getExtras ()

Utilice getExtrasMap() en su lugar.

public int getExtrasCount () 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

Mapa público<Cadena, Valor de entrada > getExtrasMap () 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público EntryValue getExtrasOrDefault (clave de cadena, EntryValue defaultValue) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público EntryValue getExtrasOrThrow (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

getIters públicos largos () 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

Métrica pública getMetrics (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntry.Builder getMetricsBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública< MetricEntry.Builder > getMetricsBuilderList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público int getMetricsCount () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública <EntradaMetric> getMetricsList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público MetricEntryOrBuilder getMetricsOrBuilder (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Lista pública<? extiende MetricEntryOrBuilder > getMetricsOrBuilderList () 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

Mapa público<Cadena, Valor de entrada > getMutableExtras ()

Utilice descriptores de acceso de mutación alternativos en su lugar.

cadena pública getName () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público com.google.protobuf.ByteString getNameBytes () 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

getThroughput doble público () 

 Throughput (in MB/s)
double throughput = 5;

público doble getWallTime () 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;

público final booleano isInitialized ()

público BenchmarkEntry.Builder mergeFrom (com.google.protobuf.Message otro)

público BenchmarkEntry.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza
IOExcepción

BenchmarkEntry.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público BenchmarkEntry.Builder putAllExtras (Map<String, EntryValue > valores) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder putExtras (clave de cadena, valor EntryValue ) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder removeExtras (clave de cadena) 

 Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;

público BenchmarkEntry.Builder removeMetrics (índice int) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setCpuTime (valor doble) 

 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;

público BenchmarkEntry.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

setIters públicos de BenchmarkEntry.Builder (valor largo) 

 If a benchmark, how many iterations it was run for
int64 iters = 2;

público BenchmarkEntry.Builder setMetrics (índice int, MetricEntry.Builder builderForValue) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setMetrics (índice int, valor de MetricEntry ) 

 Metric name, value and expected range. This can include accuracy metrics
 typically used to determine whether the accuracy test has passed
repeated .tensorflow.MetricEntry metrics = 7;

público BenchmarkEntry.Builder setName (valor de cadena) 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder setNameBytes (valor com.google.protobuf.ByteString) 

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;

público BenchmarkEntry.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público BenchmarkEntry.Builder setThroughput (valor doble) 

 Throughput (in MB/s)
double throughput = 5;

BenchmarkEntry.Builder final público setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público BenchmarkEntry.Builder setWallTime (valor doble) 

 Total wall time used for all iterations (in seconds)
double wall_time = 4;