antarmuka publik BenchmarkEntryOrBuilder
| Subkelas Tidak Langsung yang Diketahui |
Metode Publik
| boolean abstrak | berisi Ekstra (kunci string) Generic map from result key to value. |
| abstrak ganda | dapatkanCpuTime () Total cpu time used for all iterations (in seconds) double cpu_time = 3; |
| peta abstrak<String, EntryValue > | dapatkan Ekstra () Gunakan getExtrasMap() sebagai gantinya. |
| abstrak ke dalam | dapatkanExtrasCount () Generic map from result key to value. |
| peta abstrak<String, EntryValue > | dapatkan ExtrasMap () Generic map from result key to value. |
| Nilai Masuk abstrak | |
| Nilai Masuk abstrak | getExtrasOrThrow (kunci string) Generic map from result key to value. |
| abstrak panjang | dapatkanIters () If a benchmark, how many iterations it was run for int64 iters = 2; |
| MetricEntry abstrak | getMetrics (indeks int) Metric name, value and expected range. |
| abstrak ke dalam | dapatkanMetricsCount () Metric name, value and expected range. |
| Daftar abstrak< MetricEntry > | dapatkanDaftar Metrik () Metric name, value and expected range. |
| abstrak MetricEntryOrBuilder | getMetricsOrBuilder (indeks int) Metric name, value and expected range. |
| Daftar abstrak<? memperluas MetricEntryOrBuilder > | dapatkanMetricsOrBuilderList () Metric name, value and expected range. |
| Tali abstrak | dapatkan Nama () The name of the specific benchmark or test (e.g. |
| abstrak com.google.protobuf.ByteString | dapatkanNamaBytes () The name of the specific benchmark or test (e.g. |
| abstrak ganda | dapatkan Throughput () Throughput (in MB/s) double throughput = 5; |
| abstrak ganda | dapatkanWaktu Dinding () Total wall time used for all iterations (in seconds) double wall_time = 4; |
Metode Publik
boolean abstrak publik berisi Ekstra (kunci String)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6; abstrak publik getCpuTime ganda ()
Total cpu time used for all iterations (in seconds)
double cpu_time = 3; abstrak publik int getExtrasCount ()
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6; Peta abstrak publik<String, EntryValue > getExtrasMap ()
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6; abstrak publik EntryValue getExtrasOrDefault (kunci string, EntryValue defaultValue)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6; abstrak publik EntryValue getExtrasOrThrow (kunci string)
Generic map from result key to value.
map<string, .tensorflow.EntryValue> extras = 6; getIters panjang abstrak publik ()
If a benchmark, how many iterations it was run for
int64 iters = 2; abstrak publik MetricEntry getMetrics (indeks 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; abstrak publik 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; Daftar abstrak publik< 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; abstrak publik MetricEntryOrBuilder getMetricsOrBuilder (int indeks)
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; Daftar abstrak publik<? memperluas 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; abstrak publik String getName ()
The name of the specific benchmark or test (e.g. BM_AdjustContrast_gpu_B_W_H)
string name = 1; abstrak publik 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 ganda abstrak publik ()
Throughput (in MB/s)
double throughput = 5; abstrak publik getWallTime ganda ()
Total wall time used for all iterations (in seconds)
double wall_time = 4;