MCPcopy Create free account
hub / github.com/DeepRec-AI/DeepRec / start

Method start

tensorflow/python/keras/utils/data_utils.py:629–647  ·  view source on GitHub ↗

Starts the handler's workers. Arguments: workers: Number of workers. max_queue_size: queue size (when full, workers could block on `put()`)

(self, workers=1, max_queue_size=10)

Source from the content-addressed store, hash-verified

627 return self.stop_signal is not None and not self.stop_signal.is_set()
628
629 def start(self, workers=1, max_queue_size=10):
630 """Starts the handler's workers.
631
632 Arguments:
633 workers: Number of workers.
634 max_queue_size: queue size
635 (when full, workers could block on `put()`)
636 """
637 if self.use_multiprocessing:
638 self.executor_fn = self._get_executor_init(workers)
639 else:
640 # We do not need the init since it's threads.
641 self.executor_fn = lambda _: ThreadPool(workers)
642 self.workers = workers
643 self.queue = queue.Queue(max_queue_size)
644 self.stop_signal = threading.Event()
645 self.run_thread = threading.Thread(target=self._run)
646 self.run_thread.daemon = True
647 self.run_thread.start()
648
649 def _send_sequence(self):
650 """Sends current Iterable to all workers."""

Calls 5

_get_executor_initMethod · 0.95
ThreadPoolClass · 0.90
QueueMethod · 0.80
EventMethod · 0.45
ThreadMethod · 0.45