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Method RunWithFixedIters

tensorflow/core/platform/default/test_benchmark.cc:248–279  ·  view source on GitHub ↗

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246}
247
248void Benchmark::RunWithFixedIters(int arg1, int arg2, int* run_count, double* run_seconds) {
249 env = Env::Default();
250 static const int64 kMinIters = 100;
251 static const int64 kMaxIters = 1000000000;
252 static const double kMinTime = 0.5;
253 int iters = arg2;
254 // warming up
255 if (fn0_) {
256 (*fn0_)(100);
257 } else if (fn1_) {
258 (*fn1_)(100, arg1);
259 } else {
260 (*fn2_)(100, arg1, arg2);
261 }
262 accum_time = 0;
263 start_time = env->NowMicros();
264 bytes_processed = -1;
265 items_processed = -1;
266 label.clear();
267 if (fn0_) {
268 (*fn0_)(iters);
269 } else if (fn1_) {
270 (*fn1_)(iters, arg1);
271 } else {
272 (*fn2_)(iters, arg1, arg2);
273 }
274 StopTiming();
275 const double seconds = accum_time * 1e-6;
276 *run_count = iters;
277 *run_seconds = seconds;
278 return;
279}
280
281// TODO(vrv): Add support for running a subset of benchmarks by having
282// RunBenchmarks take in a spec (and maybe other options such as

Callers 1

RunMethod · 0.80

Calls 4

DefaultFunction · 0.85
StopTimingFunction · 0.85
NowMicrosMethod · 0.45
clearMethod · 0.45

Tested by

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