/external/caliper/caliper/src/main/java/com/google/caliper/runner/ |
ScheduledTrial.java | 27 private final Experiment experiment; field in class:ScheduledTrial 30 @Inject ScheduledTrial(Experiment experiment, TrialRunLoop runLoop, 33 this.experiment = experiment; 41 Experiment experiment() { method in class:ScheduledTrial 42 return experiment;
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TrialResult.java | 25 private final Experiment experiment; field in class:TrialResult 28 TrialResult(Trial trial, Experiment experiment, ImmutableList<String> trialMessages) { 30 this.experiment = experiment; 34 Experiment getExperiment() { 35 return experiment;
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Experiment.java | 34 final class Experiment { 39 Experiment( 61 if (object instanceof Experiment) { 62 Experiment that = (Experiment) object;
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ExperimentSelector.java | 28 ImmutableSet<Experiment> selectExperiments();
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TrialModule.java | 44 private final Experiment experiment; field in class:TrialModule 46 TrialModule(UUID trialId, int trialNumber, Experiment experiment) { 49 this.experiment = experiment; 68 Experiment provideExperiment() { 69 return experiment; 74 static BenchmarkSpec provideBenchmarkSpec(Experiment experiment) { [all...] |
ExperimentingCaliperRun.java | 54 * An execution of each {@link Experiment} for the configured number of trials. 99 ImmutableSet<Experiment> allExperiments = selector.selectExperiments(); 101 stdout.println("Experiment selection: "); 103 .transform(new Function<Experiment, String>() { 104 @Override public String apply(Experiment experiment) { 105 return experiment.instrumentation().benchmarkMethod().getName(); 135 ImmutableSet<Experiment> experimentsToRun = dryRun(allExperiments); 238 private List<ScheduledTrial> createScheduledTrials(ImmutableSet<Experiment> experimentsToRun, 244 for (Experiment experiment : experimentsToRun) [all...] |
TrialOutputLogger.java | 43 private final Experiment experiment; field in class:TrialOutputLogger 48 @TrialId UUID trialId, Experiment experiment) { 52 this.experiment = experiment; 81 writer.println("Experiment: " + experiment);
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FullCartesianExperimentSelector.java | 37 * A set of {@link Experiment experiments} constructed by taking all possible combinations of 73 @Override public ImmutableSet<Experiment> selectExperiments() { 74 List<Experiment> experiments = Lists.newArrayList(); 80 experiments.add(new Experiment(instrumentation, theseUserParams, vm));
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ExperimentModule.java | 33 * A module that binds data specific to a single experiment. 47 public static ExperimentModule forExperiment(Experiment experiment) { 48 Method benchmarkMethod = experiment.instrumentation().benchmarkMethod(); 51 experiment.userParameters());
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WorkerProcess.java | 79 Experiment experiment, 86 buildProcess(trialId, experiment, benchmarkSpec, localPort, benchmarkClass); 145 Experiment experiment, 150 Instrumentation instrumentation = experiment.instrumentation(); 164 VirtualMachine vm = experiment.vm();
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/external/toolchain-utils/crosperf/ |
experiment_factory.py | 13 from experiment import Experiment 89 """Factory class for building an Experiment, given an ExperimentFile as input. 91 This factory is currently hardcoded to produce an experiment for running 108 """Construct an experiment from an experiment file.""" 132 # If we pass a blank locks_dir to the Experiment, it will use the AFE server 305 experiment = Experiment(experiment_name, all_remote, working_directory, 311 return experiment [all...] |
experiment.py | 4 """The experiment setting module.""" 24 class Experiment(object): 25 """Class representing an Experiment to be run.""" 89 raise RuntimeError('No machine available for running experiment.') 93 # self.remote). So each label.remote is a sublist of experiment.remote.
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/external/caliper/caliper/src/test/java/com/google/caliper/runner/ |
WorkerProcessTest.java | 83 Experiment experiment = new Experiment( local 91 ProcessBuilder builder = createProcess(experiment, spec); 163 private ProcessBuilder createProcess(Experiment experiment, BenchmarkSpec benchmarkSpec) { 164 return WorkerProcess.buildProcess(TRIAL_ID, experiment, benchmarkSpec, PORT_NUMBER,
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/external/lisa/libs/utils/ |
executor.py | 40 Experiment = namedtuple('Experiment', ['wload_name', 'wload', 50 (workload, conf, iteration) tuple is called an "experiment". 53 attribute is a list of Experiment objects. The `out_dir` attribute of these 54 objects can be used to find the results of the experiment. This output 74 :param experiments_conf: Dict with experiment configuration. Keys are: 87 Enable collecting ftrace during the experiment. 90 possible during the experiment execution, in order to reduce 265 exp = Experiment( 658 def _wload_run(self, exp_idx, experiment) [all...] |