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  /art/runtime/
monitor_pool_test.cc 49 std::vector<Monitor*> monitors; local
52 // 1) Create and release monitors without increasing the storage.
54 // Number of max alive monitors before resize.
61 // Allocate and release monitors.
64 if (monitors.size() == 0) {
66 } else if (monitors.size() == kMaxUsage) {
75 monitors.push_back(mon);
80 size_t index = r.next() % monitors.size();
81 Monitor* mon = monitors[index];
82 monitors.erase(monitors.begin() + index)
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monitor_pool.h 33 // Abstraction to keep monitors small enough to fit in a lock word (32bits). On 32bit systems the
68 static void ReleaseMonitors(Thread* self, MonitorList::Monitors* monitors) {
71 STLDeleteElements(monitors);
73 GetMonitorPool()->ReleaseMonitorsToPool(self, monitors);
135 void ReleaseMonitorsToPool(Thread* self, MonitorList::Monitors* monitors);
210 // the 3 bit alignment constraint on monitors:
215 // Array of pointers to lists (again arrays) of pointers to chunks containing monitors.
223 // monitors, which is 0.5GB of monitors. With this maximum setting, the largest chunk lis
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monitor_pool.cc 48 CHECK_LT(current_chunk_list_index_, kMaxChunkLists) << "Out of space for inflated monitors";
153 void MonitorPool::ReleaseMonitorsToPool(Thread* self, MonitorList::Monitors* monitors) {
154 for (Monitor* mon : *monitors) {
  /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/
export_test.py 94 export_monitor = learn.monitors.ExportMonitor(
96 regressor.fit(x, y, steps=10, monitors=[export_monitor])
105 export_monitor = learn.monitors.ExportMonitor(
111 regressor.fit(x, y, steps=10, monitors=[export_monitor])
124 monitor = learn.monitors.ExportMonitor(
133 regressor.fit(input_fn=_training_input_fn, steps=10, monitors=[monitor])
142 monitor = learn.monitors.ExportMonitor(
152 regressor.fit(input_fn=_training_input_fn, steps=10, monitors=[monitor])
166 monitor = learn.monitors.ExportMonitor(
175 regressor.fit(input_fn=_training_input_fn, steps=10, monitors=[monitor]
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  /external/dagger2/producers/src/main/java/dagger/producers/monitoring/internal/
Monitors.java 34 public final class Monitors {
35 private static final Logger logger = Logger.getLogger(Monitors.class.getName());
42 * <p>If the delegate monitors throw an {@link Error}, then that will escape this monitor
151 * A component monitor that delegates to several monitors, and catches and logs all exceptions
175 ImmutableList<ProducerMonitor> monitors = monitorsBuilder.build(); local
176 if (monitors.isEmpty()) {
178 } else if (monitors.size() == 1) {
179 return new NonThrowingProducerMonitor(Iterables.getOnlyElement(monitors));
181 return new DelegatingProducerMonitor(monitors);
205 ImmutableList<ProductionComponentMonitor> monitors = monitorsBuilder.build() local
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/
trainable.py 45 monitors=None,
77 monitors: List of `BaseMonitor` subclass instances. Used for callbacks
monitors_test.py 15 """Monitors tests."""
48 class _MyEveryN(learn.monitors.EveryN):
86 """Monitors tests."""
131 self._run_monitor(learn.monitors.BaseMonitor())
245 self._run_monitor(learn.monitors.PrintTensor(tensor_names=[t.name]))
257 self._run_monitor(learn.monitors.LoggingTrainable('foo'))
269 learn.monitors.SummarySaver(
312 monitor = learn.monitors.ValidationMonitor(
329 monitor = learn.monitors.ValidationMonitor(
350 monitor = learn.monitors.ValidationMonitor
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graph_actions.py 39 from tensorflow.contrib.learn.python.learn import monitors as monitors_lib
110 def _run_with_monitors(session, step, tensors, feed_dict, monitors):
112 for monitor in monitors:
122 for monitor in monitors:
146 monitors=None,
194 monitors: List of `BaseMonitor` subclass instances. Used for callbacks
231 monitors,
255 monitors,
282 # Add default chief monitors if none were provided.
283 if not monitors
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__init__.py 34 from tensorflow.contrib.learn.python.learn import monitors
49 from tensorflow.contrib.learn.python.learn.monitors import NanLossDuringTrainingError
experiment.py 36 from tensorflow.contrib.learn.python.learn import monitors
180 train_monitors: A list of monitors to pass to the `Estimator`'s `fit`
663 monitors.ValidationMonitor(
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experiment_test.py 80 self.monitors = []
149 if 'monitors' in kwargs:
150 self.monitors = kwargs['monitors']
177 self.monitors = kwargs['hooks']
539 self.assertEqual(1, len(est.monitors))
541 self.assertTrue(isinstance(est.monitors[0],
650 self.assertEqual(1, len(est.monitors))
652 self.assertTrue(isinstance(est.monitors[0],
672 self.assertEqual(0, len(est.monitors))
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monitors.py 15 """Monitors instrument the training process (deprecated).
64 """Base class for Monitors.
70 Defines basic interfaces of Monitors.
71 Monitors can either be run on all workers or, more commonly, restricted
77 "Monitors are deprecated. Please use tf.train.SessionRunHook.")
95 estimator: the estimator that this monitor monitors.
238 """Base class for monitors that execute callbacks every N steps.
836 """Returns a default set of typically-used monitors.
846 `list` of monitors.
849 monitors = [
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graph_actions_test.py 28 from tensorflow.contrib.learn.python.learn.monitors import BaseMonitor
641 monitors=[chief_exclusive_monitor, all_workers_monitor])
645 'All monitors must have been active.')
648 'All monitors must have a step.')
662 # Create worker monitors where one should be active on the worker
675 monitors=[chief_exclusive_monitor, all_workers_monitor])
  /external/autotest/contrib/
run-stable-update 14 chromeos-test-monitors@google.com
  /external/ipsec-tools/
main.c 129 static int monitors; variable
147 if (fd < 0 || monitors == 10) {
151 callbacks[monitors] = callback;
152 pollfds[monitors].fd = fd;
153 pollfds[monitors].events = callback ? POLLIN : 0;
154 ++monitors;
186 if (poll(pollfds, monitors, timeout) > 0) {
188 for (i = 0; i < monitors; ++i) {
  /external/mesa3d/src/mesa/main/
performance_monitor.h 64 _mesa_GenPerfMonitorsAMD(GLsizei n, GLuint *monitors);
67 _mesa_DeletePerfMonitorsAMD(GLsizei n, GLuint *monitors);
performance_monitor.c 51 ctx->PerfMonitor.Monitors = _mesa_NewHashTable();
117 _mesa_HashDeleteAll(ctx->PerfMonitor.Monitors,
119 _mesa_DeleteHashTable(ctx->PerfMonitor.Monitors);
126 _mesa_HashLookup(ctx->PerfMonitor.Monitors, id);
339 _mesa_GenPerfMonitorsAMD(GLsizei n, GLuint *monitors)
354 if (monitors == NULL)
360 first = _mesa_HashFindFreeKeyBlock(ctx->PerfMonitor.Monitors, n);
370 monitors[i] = first + i;
371 _mesa_HashInsert(ctx->PerfMonitor.Monitors, first + i, m);
380 _mesa_DeletePerfMonitorsAMD(GLsizei n, GLuint *monitors)
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  /art/test/1922-owned-monitors-info/
owned_monitors.cc 94 jvmtiMonitorStackDepthInfo* monitors = nullptr; local
96 env, jvmti_env, jvmti_env->GetOwnedMonitorStackDepthInfo(thread, &len, &monitors))) {
112 monitors[i].stack_depth,
113 monitors[i].monitor);
  /external/dagger2/compiler/src/it/producers-functional-tests/src/test/java/producerstest/monitoring/
MonitoringTest.java 75 assertThat(componentMonitor.monitors).hasSize(3);
77 ImmutableList.copyOf(componentMonitor.monitors.entrySet());
115 assertThat(componentMonitor.monitors).hasSize(3);
117 ImmutableList.copyOf(componentMonitor.monitors.entrySet());
148 final Map<ProducerToken, ProducerMonitor> monitors = new LinkedHashMap<>(); field in class:MonitoringTest.FakeProductionComponentMonitor
153 monitors.put(token, monitor);
  /external/oj-libjdwp/src/share/back/
ThreadReferenceImpl.c 372 jobject *monitors = NULL; local
375 (gdata->jvmti, thread, &count, &monitors);
382 jobject monitor = monitors[i];
387 if (monitors != NULL)
388 jvmtiDeallocate(monitors);
543 jvmtiMonitorStackDepthInfo *monitors=NULL; local
546 (gdata->jvmti, thread, &count, &monitors);
554 jobject monitor = monitors[i].monitor;
557 (void)outStream_writeInt(out,monitors[i].stack_depth);
560 if (monitors != NULL)
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  /art/runtime/jni/
jni_env_ext.cc 80 monitors_("monitors", kMonitorsInitial, kMonitorsMax),
214 ReferenceTable* monitors,
220 [self, frame, monitors](const std::pair<uintptr_t, jobject>& pair)
224 monitors->Remove(o);
255 // the monitors table, otherwise we may visit local objects in GC during abort (which won't be
266 // to this call - this signals that there are unlocked monitors.
276 // the monitors table, otherwise we may visit local objects in GC during abort.
  /art/openjdkjvmti/
ti_stack.cc 855 for (const art::Handle<art::mirror::Object>& monitor : visitor->monitors) {
860 visitor->monitors.push_back(visitor->hs.NewHandle(owned_monitor));
866 for (const art::Handle<art::mirror::Object>& m : monitors) {
871 monitors.push_back(hs.NewHandle(obj));
877 std::vector<art::Handle<art::mirror::Object>> monitors; member in struct:openjdkjvmti::MonitorVisitor
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
estimator.py 43 from tensorflow.contrib.learn.python.learn import monitors as monitor_lib
495 monitors=None,
508 SKCompat(self).fit(x, y, batch_size, steps, max_steps, monitors)
520 hooks = monitor_lib.replace_monitors_with_hooks(monitors, self)
536 monitors=None):
560 monitors: List of `BaseMonitor` subclass instances. Used for callbacks
578 monitors=monitors)
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  /external/walt/docs/
DragLatency.md 6 other side. The microcontroller monitors the state of the laser detector and reports (over usb) when
  /art/runtime/jdwp/
jdwp_handler.cc 1061 std::vector<ObjectId> monitors; local
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