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.
Tensorflow de tipo tensorflow.BenchmarkEntry

Métodos públicos

BenchmarkEntry.Builder
addAllMetrics ( valores Iterable <? extiende 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 MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics (valor de MetricEntry )
 Metric name, value and expected range.
BenchmarkEntry.Builder
addMetrics ( MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
MetricEntry.Builder
addMetricsBuilder (índice int)
 Metric name, value and expected range.
MetricEntry.Builder
addMetricsBuilder ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
BenchmarkEntry
construir ()
BenchmarkEntry
buildPartial ()
BenchmarkEntry.Builder
claro ()
BenchmarkEntry.Builder
clearCpuTime ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry.Builder
clearExtras ()
BenchmarkEntry.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
BenchmarkEntry.Builder
clearIters ()
 If a benchmark, how many iterations it was run for
int64 int64 iters = 2;
BenchmarkEntry.Builder
clearMetrics ()
 Metric name, value and expected range.
BenchmarkEntry.Builder
clearName ()
 The name of the specific benchmark or test
 (e.g.
BenchmarkEntry.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
BenchmarkEntry.Builder
clearThroughput ()
 Throughput (in MB/s)
double throughput = 5;
BenchmarkEntry.Builder
clearWallTime ()
 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
getCpuTime ()
 Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
BenchmarkEntry
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Mapa <String, EntryValue >
getExtras ()
Utilice getExtrasMap() lugar.
En t
getExtrasCount ()
 Generic map from result key to value.
Mapa <String, EntryValue >
getExtrasMap ()
 Generic map from result key to value.
EntryValue
getExtrasOrDefault (clave de cadena, EntryValue defaultValue )
 Generic map from result key to value.
EntryValue
getExtrasOrThrow (clave de cadena)
 Generic map from result key to value.
largo
getIters ()
 If a benchmark, how many iterations it was run for
int64 int64 iters = 2;
MetricEntry
getMetrics (índice int)
 Metric name, value and expected range.
MetricEntry.Builder
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 < MetricEntry >
getMetricsList ()
 Metric name, value and expected range.
MetricEntryOrBuilder
getMetricsOrBuilder (índice int)
 Metric name, value and expected range.
Lista <? extiende MetricEntryOrBuilder >
getMetricsOrBuilderList ()
 Metric name, value and expected range.
Mapa <String, EntryValue >
getMutableExtras ()
En su lugar, utilice accesores de mutación alternativos.
Cuerda
getName ()
 The name of the specific benchmark or test
 (e.g.
com.google.protobuf.ByteString
getNameBytes ()
 The name of the specific benchmark or test
 (e.g.
doble
getThroughput ()
 Throughput (in MB/s)
double throughput = 5;
doble
getWallTime ()
 Total wall time used for all iterations (in seconds)
double wall_time = 4;
booleano final
isInitialized ()
BenchmarkEntry.Builder
mergeFrom (com.google.protobuf.Message otro)
BenchmarkEntry.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BenchmarkEntry.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
BenchmarkEntry.Builder
putAllExtras ( valores de Map <String, EntryValue >)
 Generic map from result key to value.
BenchmarkEntry.Builder
putExtras (clave de cadena, valor de EntryValue )
 Generic map from result key to value.
BenchmarkEntry.Builder
removeExtras (clave 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 int64 iters = 2;
BenchmarkEntry.Builder
setMetrics (índice int, MetricEntry.Builder builderForValue)
 Metric name, value and expected range.
BenchmarkEntry.Builder
setMetrics (índice int, valor 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 de 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 unknownFields)
BenchmarkEntry.Builder
setWallTime (valor doble)
 Total wall time used for all iterations (in seconds)
double wall_time = 4;

Métodos heredados

Métodos públicos

public BenchmarkEntry.Builder addAllMetrics ( valores Iterable <? extiende 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;

public 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;

public BenchmarkEntry.Builder addMetrics (índice int, valor 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;

public 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;

public 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;

public 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;

public 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;

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

public BenchmarkEntry build ()

public BenchmarkEntry buildPartial ()

public BenchmarkEntry.Builder clear ()

public BenchmarkEntry.Builder clearCpuTime () 

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

public BenchmarkEntry.Builder clearExtras ()

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

public BenchmarkEntry.Builder clearIters () 

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

public 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;

public BenchmarkEntry.Builder clearName () 

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

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

public BenchmarkEntry.Builder clearThroughput () 

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

public BenchmarkEntry.Builder clearWallTime () 

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

public BenchmarkEntry.Builder clone ()

public boolean containsExtras (clave de cadena) 

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

public double getCpuTime () 

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

public BenchmarkEntry getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public Map <String, EntryValue > getExtras ()

Utilice getExtrasMap() lugar.

public int getExtrasCount () 

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

public Map <String, EntryValue > getExtrasMap () 

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

public EntryValue getExtrasOrDefault (clave de cadena, EntryValue defaultValue ) 

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

public EntryValue getExtrasOrThrow (clave de cadena) 

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

getIters largos públicos () 

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

public MetricEntry 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;

public 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;

public 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 < MetricEntry > 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;

public 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;

public Map <String, EntryValue > getMutableExtras ()

En su lugar, utilice accesores de mutación alternativos.

public String getName () 

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

public com.google.protobuf.ByteString getNameBytes () 

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

public double getThroughput () 

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

public double getWallTime () 

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

public final boolean isInitialized ()

public BenchmarkEntry.Builder mergeFrom (com.google.protobuf.Message other)

public BenchmarkEntry.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public final BenchmarkEntry.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

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

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

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

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

public BenchmarkEntry.Builder removeExtras (clave de cadena) 

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

public 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;

public BenchmarkEntry.Builder setCpuTime (valor doble) 

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

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

public BenchmarkEntry.Builder setIters (valor largo) 

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

public BenchmarkEntry.Builder setMetrics (int index, 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;

public 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;

public 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;

public BenchmarkEntry.Builder setNameBytes (valor de com.google.protobuf.ByteString) 

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

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

public BenchmarkEntry.Builder setThroughput (valor doble) 

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

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

public BenchmarkEntry.Builder setWallTime (valor doble) 

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