/external/tensorflow/tensorflow/python/distribute/cluster_resolver/ |
D | cluster_resolver.py | 115 def master(self, task_type=None, task_id=None, rpc_layer=None): argument 136 task_id=None, argument 159 master = self.master(task_type, task_id) 165 if task_type is not None and task_id is not None: 167 task_path = '/task:%s' % task_id 242 def task_id(self): member in ClusterResolver 286 @task_id.setter 287 def task_id(self, task_id): member in ClusterResolver 289 self._task_id = task_id 324 def __init__(self, cluster_spec, master='', task_type=None, task_id=None, argument [all …]
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D | tfconfig_cluster_resolver.py | 86 task_id=None, argument 101 self._task_id = task_id 114 def task_id(self): member in TFConfigClusterResolver 125 @task_id.setter 126 def task_id(self, task_id): argument 127 self._task_id = task_id 146 task_id=None, argument 149 task_id = self.task_id if task_id is None else task_id 151 task_type, task_id, config_proto) 164 def master(self, task_type=None, task_id=None, rpc_layer=None): argument [all …]
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D | sagemaker_cluster_resolver.py | 96 task_id=None, argument 110 self._task_id = task_id 124 def task_id(self): member in SageMakerClusterResolver 135 @task_id.setter 136 def task_id(self, task_id): member in SageMakerClusterResolver 137 self._task_id = task_id 154 def num_accelerators(self, task_type=None, task_id=None, config_proto=None): argument 156 task_id = self.task_id if task_id is None else task_id 158 self).num_accelerators(task_type, task_id, config_proto) 171 def master(self, task_type=None, task_id=None, rpc_layer=None): argument [all …]
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D | gce_cluster_resolver.py | 74 task_id=0, argument 110 self._task_id = task_id 174 def master(self, task_type=None, task_id=None, rpc_layer=None): argument 176 task_id = task_id if task_id is not None else self._task_id 178 if task_type is not None and task_id is not None: 179 master = self.cluster_spec().task_address(task_type, task_id) 192 def task_id(self): member in GCEClusterResolver 201 @task_id.setter 202 def task_id(self, task_id): argument 203 self._task_id = task_id
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D | kubernetes_cluster_resolver.py | 118 self.task_id = None 121 def master(self, task_type=None, task_id=None, rpc_layer=None): argument 140 task_id = task_id if task_id is not None else self.task_id 142 if task_type is not None and task_id is not None: 144 self.cluster_spec().task_address(task_type, task_id),
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D | slurm_cluster_resolver.py | 264 self.task_id = None 350 self.task_id = self._rank - cluster_rank_offset_start 371 return self.task_type, self.task_id 373 def master(self, task_type=None, task_id=None, rpc_layer=None): argument 386 task_id = task_id if task_id is not None else self.task_id 388 if task_type is not None and task_id is not None: 390 self.cluster_spec().task_address(task_type, task_id), 397 task_id=None, argument 400 del task_type, task_id, config_proto
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D | tfconfig_cluster_resolver_test.py | 160 self.assertEqual(0, cluster_resolver.task_id) 178 cluster_resolver = TFConfigClusterResolver(task_type='ps', task_id=0) 182 self.assertEqual(0, cluster_resolver.task_id) 185 cluster_resolver.task_id = 1 190 self.assertEqual(1, cluster_resolver.task_id) 225 self.assertEqual(1, cluster_resolver.task_id) 239 cluster_resolver = TFConfigClusterResolver(task_id=1) 240 self.assertEqual(1, cluster_resolver.task_id) 303 self.assertEqual(resolver.num_accelerators(task_type='worker2', task_id=3),
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D | cluster_resolver_test.py | 39 def master(self, task_type=None, task_id=None, rpc_layer=None): argument 115 self.assertEqual(resolver.num_accelerators(task_type="worker1", task_id=0), 117 self.assertEqual(resolver.num_accelerators(task_type="worker2", task_id=3), 119 self.assertEqual(resolver.num_accelerators(task_type="worker2", task_id=4), 163 task_id=1, environment="cloud", 168 self.assertEqual(simple_resolver.task_id, 1) 180 task_id=1, environment="cloud", 185 simple_resolver.task_id = 2 189 self.assertEqual(simple_resolver.task_id, 2) 228 task_id=1, environment="cloud", [all …]
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D | sagemaker_cluster_resolver_test.py | 83 cluster_resolver = SageMakerClusterResolver(task_type='worker', task_id=0) 87 self.assertEqual(0, cluster_resolver.task_id) 90 cluster_resolver.task_id = 1 95 self.assertEqual(1, cluster_resolver.task_id) 102 cluster_resolver = SageMakerClusterResolver(task_id=1) 103 self.assertEqual(1, cluster_resolver.task_id)
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/external/tensorflow/tensorflow/python/distribute/ |
D | multi_process_runner.py | 251 def _continuously_readline_from_sub(self, pipe_r, task_type, task_id): argument 255 task_string = '[{}-{}]:'.format(task_type, task_id) 266 task_id, argument 279 task_id=task_id, 308 self._processes[(task_type, task_id)] = p 309 self._terminated.discard((task_type, task_id)) 315 args=(pipe_r, task_type, task_id)) 337 for task_id, _ in enumerate(addresses): 338 self._start_subprocess_and_reading_thread(task_type, task_id) 395 for task_id, _ in enumerate(addresses): [all …]
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D | distribute_coordinator.py | 116 task_id, argument 140 self._task_id = task_id 151 self._cluster_spec, self.task_type, self.task_id) 180 task_id = 0 184 task_id = 0 187 task_id = self._task_id 192 return prefix + self._cluster_spec.job_tasks(task_type)[task_id or 0] 291 def task_id(self): member in _WorkerContext 330 task_id, argument 345 strategy.configure(session_config, cluster_spec, task_type, task_id) [all …]
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D | multi_worker_util.py | 58 task_id): argument 106 if task_type in cluster_spec.jobs and task_id >= task_count( 109 "The `task_id` %d exceeds the maximum id of %s." % (task_id, task_type)) 112 def is_chief(cluster_spec=None, task_type=None, task_id=None): argument 139 _validate_cluster_spec(cluster_spec, task_type, task_id) 147 if ("chief" not in cluster_spec and task_type == "worker" and task_id == 0): 152 def collective_leader(cluster_spec, task_type, task_id): argument 171 _validate_cluster_spec(cluster_spec, task_type, task_id) 188 _validate_cluster_spec(cluster_spec, task_type, task_id=0) 207 def id_in_cluster(cluster_spec, task_type, task_id): argument [all …]
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D | multi_worker_test_base.py | 234 task_id = cluster_resolver.task_id 239 'task_id = %r, rpc_layer = %r', cluster_spec, task_type, task_id, 255 task_index=task_id, 259 start_event = start_events[task_type][task_id] 262 finish_event = finish_events[task_type][task_id] 311 def kill_task(self, task_type, task_id): argument 319 if (not self._start_events[task_type][task_id].is_set() or 320 self._finish_events[task_type][task_id].is_set()): 321 raise ValueError("The task %s:%d doesn't exist." % (task_type, task_id)) 323 self._finish_events[task_type][task_id].set() [all …]
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D | collective_all_reduce_strategy_test.py | 71 task_id=None, argument 77 if cluster_spec and task_type and task_id is not None: 81 task_id=task_id, 83 target = 'grpc://' + cluster_spec[task_type][task_id] 105 def _get_test_object(self, task_type, task_id, num_gpus=0): argument 109 task_id=task_id, 113 def _test_minimize_loss_graph(self, task_type, task_id, num_gpus): argument 114 d, master_target, config = self._get_test_object(task_type, task_id, 185 def _test_variable_initialization(self, task_type, task_id, num_gpus): argument 187 task_type, task_id, num_gpus) [all …]
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D | distribute_coordinator_test.py | 112 task_id=None): argument 114 if task_id == 0: 119 if task_id == 0: 124 if task_id == 0: 130 if (cluster_spec and task_type and task_id is not None and 135 ["/job:%s/task:%d" % (task_type, task_id), "/job:ps"]) 262 for task_id in range(len(cluster_spec[task_type])): 268 task_id=task_id, 375 task_id = context.task_id or 0 379 while len(self._worker_context[task_type]) <= task_id: [all …]
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/external/libbrillo/brillo/message_loops/ |
D | message_loop_test.cc | 84 TaskId task_id = in TYPED_TEST() local 86 EXPECT_NE(MessageLoop::kTaskIdNull, task_id); in TYPED_TEST() 94 TaskId task_id = in TYPED_TEST() local 96 EXPECT_TRUE(this->loop_->CancelTask(task_id)); in TYPED_TEST() 100 EXPECT_FALSE(this->loop_->CancelTask(task_id)); in TYPED_TEST() 105 TaskId task_id = in TYPED_TEST() local 108 EXPECT_NE(MessageLoop::kTaskIdNull, task_id); in TYPED_TEST() 127 TaskId task_id; in TYPED_TEST() local 128 task_id = this->loop_->PostTask( in TYPED_TEST() 131 [](bool* cancel_result, MessageLoop* loop, TaskId* task_id) { in TYPED_TEST() argument [all …]
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D | base_message_loop.cc | 84 TaskId task_id = NextTaskId(); in PostDelayedTask() local 88 weak_ptr_factory_.GetWeakPtr(), task_id), in PostDelayedTask() 90 DVLOG_LOC(from_here, 1) << "Scheduling delayed task_id " << task_id in PostDelayedTask() 95 delayed_tasks_.emplace(task_id, in PostDelayedTask() 96 DelayedTask{from_here, task_id, std::move(task)}); in PostDelayedTask() 97 return task_id; in PostDelayedTask() 100 bool BaseMessageLoop::CancelTask(TaskId task_id) { in CancelTask() argument 101 if (task_id == kTaskIdNull) in CancelTask() 103 auto delayed_task_it = delayed_tasks_.find(task_id); in CancelTask() 115 << "Removing task_id " << task_id << " scheduled from this location."; in CancelTask() [all …]
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/external/libchrome/base/task/ |
D | cancelable_task_tracker_unittest.cc | 112 CancelableTaskTracker::TaskId task_id = task_tracker_.PostTask( in TEST_F() local 114 EXPECT_NE(CancelableTaskTracker::kBadTaskId, task_id); in TEST_F() 118 task_tracker_.TryCancel(task_id); in TEST_F() 130 CancelableTaskTracker::TaskId task_id = in TEST_F() local 135 EXPECT_NE(CancelableTaskTracker::kBadTaskId, task_id); in TEST_F() 137 task_tracker_.TryCancel(task_id); in TEST_F() 149 CancelableTaskTracker::TaskId task_id = in TEST_F() local 154 EXPECT_NE(CancelableTaskTracker::kBadTaskId, task_id); in TEST_F() 158 task_tracker_.TryCancel(task_id); in TEST_F() 168 CancelableTaskTracker::TaskId task_id = task_tracker_.PostTaskAndReply( in TEST_F() local [all …]
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/external/tensorflow/tensorflow/core/data/service/ |
D | worker_impl.cc | 104 VLOG(3) << "Received request to process task " << task.task_id(); in ProcessTask() 110 std::unique_ptr<Task>& task = tasks_[task_def.task_id()]; in ProcessTaskInternal() 113 << task->task_def.task_id(); in ProcessTaskInternal() 117 VLOG(3) << "Began processing for task " << task_def.task_id() in ProcessTaskInternal() 176 VLOG(3) << "Created iterator for task " << task.task_def.task_id(); in EnsureTaskInitialized() 182 VLOG(3) << "Received GetElement request for task " << request->task_id(); in GetElement() 193 auto it = tasks_.find(request->task_id()); in GetElement() 195 if (finished_tasks_.contains(request->task_id())) { in GetElement() 202 return errors::Unavailable("Task ", request->task_id(), " not found"); in GetElement() 211 VLOG(3) << "Reached end_of_sequence for task " << request->task_id(); in GetElement() [all …]
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D | dispatcher_state.cc | 152 int64 task_id = create_pending_task.task_id(); in CreatePendingTask() local 153 auto& task = tasks_[task_id]; in CreatePendingTask() 158 std::make_shared<Task>(task_id, job, create_pending_task.worker_address(), in CreatePendingTask() 161 tasks_by_worker_[create_pending_task.worker_address()][task->task_id] = task; in CreatePendingTask() 162 next_available_task_id_ = std::max(next_available_task_id_, task_id + 1); in CreatePendingTask() 187 int64 task_id = create_task.task_id(); in CreateTask() local 188 auto& task = tasks_[task_id]; in CreateTask() 192 task = std::make_shared<Task>(task_id, job, create_task.worker_address(), in CreateTask() 195 tasks_by_worker_[create_task.worker_address()][task->task_id] = task; in CreateTask() 196 next_available_task_id_ = std::max(next_available_task_id_, task_id + 1); in CreateTask() [all …]
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/external/tensorflow/tensorflow/python/distribute/integration_test/ |
D | mwms_peer_failure_test.py | 46 task_id = strategy.cluster_resolver.task_id 47 attempts[(task_type, task_id)] = attempts.get((task_type, task_id), 0) + 1 48 return task_id, attempts[(task_type, task_id)] 84 if strategy.cluster_resolver.task_id == 1: 118 if strategy.cluster_resolver.task_id == 1: 140 task_id, attempt = get_attempt(strategy, attempts) 144 if attempt == 1 and task_id == 1: 162 task_id, attempt = get_attempt(strategy, attempts) 166 if attempt == 1 and task_id == 1: 193 task_id, attempt = get_attempt(strategy, attempts) [all …]
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/external/tensorflow/tensorflow/lite/delegates/gpu/common/memory_management/ |
D | greedy_by_breadth_assignment.cc | 37 TaskId task_id; member 39 TaskBreadthWithId(size_t breadth, size_t task_id) in TaskBreadthWithId() 40 : breadth(breadth), task_id(task_id) {} in TaskBreadthWithId() 57 for (size_t task_id = 0; task_id < task_profiles.size(); ++task_id) { in GreedyByBreadthAssignment() local 59 for (const auto& tensor_info : task_profiles[task_id]) { in GreedyByBreadthAssignment() 62 task_breadth.emplace_back(breadth, task_id); in GreedyByBreadthAssignment() 74 for (const auto& tensor_info : task_profiles[task.task_id]) { in GreedyByBreadthAssignment()
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/external/tensorflow/tensorflow/python/keras/integration_test/ |
D | multi_worker_tutorial_test.py | 36 def _is_chief(task_type, task_id): argument 44 return task_type == 'worker' and task_id == 0 47 def _get_temp_dir(dirpath, task_id): argument 48 base_dirpath = 'workertemp_' + str(task_id) 54 def write_filepath(filepath, task_type, task_id): argument 57 if not _is_chief(task_type, task_id): 58 dirpath = _get_temp_dir(dirpath, task_id) 165 task_type, task_id = (strategy.cluster_resolver.task_type, 166 strategy.cluster_resolver.task_id) 167 write_model_path = write_filepath(model_path, task_type, task_id) [all …]
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/external/toolchain-utils/crosperf/ |
D | suite_runner.py | 205 def DownloadResult(self, label, task_id): argument 207 result_dir = 'gs://chromeos-autotest-results/swarming-%s' % task_id 228 self.logger.LogOutput('No result directory for task %s' % task_id) 236 self.logger.LogOutput('Cannot download results from task %s' % task_id) 238 self.logger.LogOutput('Result downloaded for task %s' % task_id) 279 task_id = ret_tup[1].strip().split('b')[-1] 281 command = ('skylab wait-task %s' % task_id) 309 task_id = output['task-run-url'].split('=')[-1] 310 if self.DownloadResult(label, task_id) == 0: 311 result_dir = '\nResults placed in tmp/swarming-%s\n' % task_id
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.distribute.cluster_resolver.-simple-cluster-resolver.pbtxt | 15 name: "task_id" 24 …argspec: "args=[\'self\', \'cluster_spec\', \'master\', \'task_type\', \'task_id\', \'environment\… 32 …argspec: "args=[\'self\', \'task_type\', \'task_id\', \'rpc_layer\'], varargs=None, keywords=None,… 36 …argspec: "args=[\'self\', \'task_type\', \'task_id\', \'config_proto\'], varargs=None, keywords=No…
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