| /external/tensorflow/tensorflow/core/profiler/internal/advisor/ |
| accelerator_utilization_checker.h | 15 // This checker checks the accelerator's utilization.
57 double utilization = 1.0 * stat.exec_micros / total_micros; local
58 if (utilization >= 0.5) {
59 reports_.add_reports(strings::Printf("device: %s utilization: %.2f",
60 s.first.c_str(), utilization));
61 } else if (utilization < 0.5 && utilization > 0.2) {
62 reports_.add_reports(strings::Printf("device: %s low utilization: %.2f",
63 s.first.c_str(), utilization));
64 } else if (utilization <= 0.2)
[all...] |
| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| advise.md | 34 device: /job:worker/replica:0/task:0/device:GPU:0 low utilization: 0.03
35 device: /job:worker/replica:0/task:0/device:GPU:1 low utilization: 0.08
36 device: /job:worker/replica:0/task:0/device:GPU:2 low utilization: 0.04
37 device: /job:worker/replica:0/task:0/device:GPU:3 low utilization: 0.21
87 * Checks CPU/Memory utilization of the job.
|
| /external/ltp/testcases/kernel/power_management/lib/ |
| pm_sched_mc.py | 451 ''' Generate report of CPU utilization
519 print "Generating utilization report failed: ", details
688 ''' Return cpu utilization of cpu_id
718 utilization = int(stats_percentage[l][1])
720 utilization += int(get_cpu_utilization("cpu%s" %sib_list[i]))
722 utilization = stats_percentage[l][1]
723 if utilization > 40:
|
| /external/ltp/utils/ffsb-6.0-rc2/ |
| ffsb_fs.c | 158 static void age_fs(ffsb_fs_t * fs, double utilization);
304 * record utilization
380 static void age_fs(ffsb_fs_t * fs, double utilization)
390 fs->start_fsutil, utilization);
396 pdata.util = utilization;
610 printf("\t current utilization = %.2f\%\n",
613 printf("\t desired utilization = %.2lf%\n",
|
| /prebuilts/go/darwin-x86/src/runtime/ |
| mgc.go | 346 // trigger based on the heap growth and GC CPU utilization each cycle.
348 // utilization between assist and background marking to be 25% of
420 // For example, if the utilization goal is 25% and there are
469 // Compute the background mark utilization goal. In general,
471 // dedicated workers so that the utilization is closest to
610 // growth and GC CPU utilization. We compute the actual heap
612 // the goal CPU utilization we were (to estimate the heap
613 // growth if we had the desired CPU utilization). The
620 // Assume background mark hit its utilization goal.
621 utilization := gcBackgroundUtilizatio
[all...] |
| proc.go | 64 // but at the same time guarantees eventual maximal CPU parallelism utilization.
[all...] |
| /prebuilts/go/linux-x86/src/runtime/ |
| mgc.go | 346 // trigger based on the heap growth and GC CPU utilization each cycle.
348 // utilization between assist and background marking to be 25% of
420 // For example, if the utilization goal is 25% and there are
469 // Compute the background mark utilization goal. In general,
471 // dedicated workers so that the utilization is closest to
610 // growth and GC CPU utilization. We compute the actual heap
612 // the goal CPU utilization we were (to estimate the heap
613 // growth if we had the desired CPU utilization). The
620 // Assume background mark hit its utilization goal.
621 utilization := gcBackgroundUtilizatio
[all...] |
| proc.go | 64 // but at the same time guarantees eventual maximal CPU parallelism utilization.
[all...] |
| /external/tensorflow/tensorflow/core/grappler/costs/ |
| virtual_scheduler.cc | 923 int utilization = 0; local
[all...] |
| /external/lisa/libs/utils/ |
| energy_model.py | 295 utilization of tasks placed on CPU N. That is, the quantity represented
299 The range of utilization values is 0 -
302 This represents a static utilization, assuming that tasks don't change
305 ``cpu_utils`` items would be needed to describe the utilization, with a
519 capacity to satisfy the utilization, taking into account frequency
522 :param cpu_utils: Utilization distribution, see
578 Estimate the energy usage of the system under a utilization distribution
585 :param cpu_utils: Utilization distribution, see
650 :param capacities: Dict mapping tasks to expected utilization
652 have a single static utilization value. A set o
[all...] |
| /external/webrtc/webrtc/modules/remote_bitrate_estimator/test/ |
| bwe_test.cc | 208 double utilization = throughput_kbps.GetMean() / max_throughput_kbps; local
209 webrtc::test::PrintResult("BwePerformance", GetTestName(), "Utilization",
210 utilization * 100.0, "%", false);
214 "Utilization var coeff", ss.str(), "", false);
[all...] |
| /external/autotest/client/bin/ |
| utils.py | [all...] |
| /external/kotlinc/ |
| LICENSE | [all...] |
| NOTICE | [all...] |
