interface pública BenchmarkEntryOrBuilder
Subclasses indiretas conhecidas |
Métodos Públicos
booleano abstrato | contémExtras (chave de string) Generic map from result key to value. |
duplo abstrato | getCpuTime () Total cpu time used for all iterations (in seconds) double cpu_time = 3; |
mapa abstrato<String, EntryValue > | obterExtras () Use getExtrasMap() em vez disso. |
abstrato int | getExtrasCount () Generic map from result key to value. |
mapa abstrato<String, EntryValue > | getExtrasMap () Generic map from result key to value. |
valor de entrada abstrato | |
valor de entrada abstrato | getExtrasOrThrow (chave de string) Generic map from result key to value. |
abstrato longo | getIters () If a benchmark, how many iterations it was run for int64 iters = 2; |
entrada de métrica abstrata | getMetrics (índice interno) Metric name, value and expected range. |
abstrato int | getMetricsCount () Metric name, value and expected range. |
Lista abstrata <MetricEntry> | getMetricsList () Metric name, value and expected range. |
MetricEntryOrBuilder abstrato | getMetricsOrBuilder (índice interno) Metric name, value and expected range. |
lista abstrata<? estende MetricEntryOrBuilder > | getMetricsOrBuilderList () Metric name, value and expected range. |
cadeia abstrata | getNome () The name of the specific benchmark or test (e.g. |
abstrato com.google.protobuf.ByteString | getNomeBytes () The name of the specific benchmark or test (e.g. |
duplo abstrato | obter taxa de transferência () Throughput (in MB/s) double throughput = 5; |
duplo abstrato | obterWallTime () Total wall time used for all iterations (in seconds) double wall_time = 4; |
Métodos Públicos
público abstrato booleano contémExtras (chave String)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;
público abstrato duplo getCpuTime ()
Total cpu time used for all iterations (in seconds)
double cpu_time = 3;
público abstrato int getExtrasCount ()
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;
público abstrato Map<String, EntryValue > getExtrasMap ()
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;
público abstrato EntryValue getExtrasOrDefault (chave String, EntryValue defaultValue)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;
público abstrato EntryValue getExtrasOrThrow (chave String)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6;
getIters longo abstrato público ()
If a benchmark, how many iterations it was run for
int64 iters = 2;
público abstrato 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;
resumo 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 abstrata 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;
público abstrato 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 abstrata pública<? estende 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;
String abstrata pública getName ()
The name of the specific benchmark or test (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1;
resumo 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;
público abstrato duplo getThroughput ()
Throughput (in MB/s)
double throughput = 5;
público abstrato duplo getWallTime ()
Total wall time used for all iterations (in seconds)
double wall_time = 4;