BenchmarkEntryOrBuilder

interface publique BenchmarkEntryOrBuilder

Sous-classes indirectes connues BenchmarkEntry , BenchmarkEntry.Builder Entrée de référence Each unit test or benchmark in a test or benchmark run provides some set of information.  BenchmarkEntry.Builder Each unit test or benchmark in a test or benchmark run provides some set of information.

Méthodes publiques

booléen abstrait	contientExtras (clé de chaîne) Generic map from result key to value.
double abstrait	obtenirCpuTime () Total cpu time used for all iterations (in seconds) double cpu_time = 3;
Carte abstraite<String, EntryValue >	obtenirExtras () Utilisez plutôt getExtrasMap() .
abstrait entier	getExtrasCount () Generic map from result key to value.
Carte abstraite<String, EntryValue >	getExtrasMap () Generic map from result key to value.
valeur d'entrée abstraite	getExtrasOrDefault (clé de chaîne, EntryValue valeur par défaut) Generic map from result key to value.
valeur d'entrée abstraite	getExtrasOrThrow (clé de chaîne) Generic map from result key to value.
abstrait long	getIters () If a benchmark, how many iterations it was run for int64 iters = 2;
entrée métrique abstraite	getMetrics (index entier) Metric name, value and expected range.
abstrait entier	getMetricsCount () Metric name, value and expected range.
Liste abstraite < MetricEntry >	getMetricsList () Metric name, value and expected range.
résumé MetricEntryOrBuilder	getMetricsOrBuilder (index int) Metric name, value and expected range.
Liste abstraite <? étend MetricEntryOrBuilder >	getMetricsOrBuilderList () Metric name, value and expected range.
chaîne abstraite	obtenirNom () The name of the specific benchmark or test (e.g.
résumé com.google.protobuf.ByteString	getNameBytes () The name of the specific benchmark or test (e.g.
double abstrait	getThroughput () Throughput (in MB/s) double throughput = 5;
double abstrait	getWallTime () Total wall time used for all iterations (in seconds) double wall_time = 4;

Méthodes publiques

public abstract boolean containExtras (clé de chaîne)

 Generic map from result key to value.
 

map<string, .tensorflow.EntryValue> extras = 6;

public abstrait double getCpuTime ()

 Total cpu time used for all iterations (in seconds)
 

double cpu_time = 3;

public abstrait Map<String, EntryValue > getExtras ()

Utilisez plutôt getExtrasMap() .

public abstrait int getExtrasCount ()

 Generic map from result key to value.
 

map<string, .tensorflow.EntryValue> extras = 6;

public abstrait Map<String, EntryValue > getExtrasMap ()

 Generic map from result key to value.
 

map<string, .tensorflow.EntryValue> extras = 6;

public abstrait EntryValue getExtrasOrDefault (clé de chaîne, EntryValue defaultValue)

 Generic map from result key to value.
 

map<string, .tensorflow.EntryValue> extras = 6;

public abstrait EntryValue getExtrasOrThrow (clé de chaîne)

 Generic map from result key to value.
 

map<string, .tensorflow.EntryValue> extras = 6;

public abstrait long getIters ()

 If a benchmark, how many iterations it was run for
 

int64 iters = 2;

résumé public MetricEntry getMetrics (index 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 abstrait 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;

Liste abstraite publique < 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;

résumé public MetricEntryOrBuilder getMetricsOrBuilder (index 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;

Liste des résumés publics<? étend 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;

chaîne abstraite publique getName ()

nom de chaîne

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
 

string name = 1;

résumé public com.google.protobuf.ByteString getNameBytes ()

nom de chaîne

 The name of the specific benchmark or test
 (e.g. BM_AdjustContrast_gpu_B_W_H)
 

string name = 1;

public abstrait double getThroughput ()

 Throughput (in MB/s)
 

double throughput = 5;

public abstrait double getWallTime ()

 Total wall time used for all iterations (in seconds)
 

double wall_time = 4;