Faster sequence

keras/utils/data_utils.py

@@ -364,18 +364,35 @@ def on_epoch_end(self):
         """
         pass
 
+# Global variables to be shared across processes
+_SHARED_SEQUENCE = None
+_MANAGER = multiprocessing.Manager()
+_SHARED_DICT = _MANAGER.dict()
 
-def get_index(ds, i):
-    """Quick fix for Python2, otherwise, it cannot be pickled.
+
+def get_index(i):
+    """Get the value from the Sequence at index `i`.
 
     # Arguments
-        ds: a Sequence object
         i: index
 
     # Returns
         The value at index `i`.
     """
-    return ds[i]
+    global _SHARED_SEQUENCE
+    return _SHARED_SEQUENCE[i]
+
+
+def _update_sequence(seq):
+    """Update current process with a new Sequence.
+
+    # Arguments
+        seq: Sequence object
+    """
+    global _SHARED_SEQUENCE, _SHARED_DICT
+    if not multiprocessing.current_process().pid in _SHARED_DICT:
+        _SHARED_SEQUENCE = seq
+        _SHARED_DICT[multiprocessing.current_process().pid] = 0
 
 
 class SequenceEnqueuer(object):
@@ -477,6 +494,7 @@ def start(self, workers=1, max_queue_size=10):
             self.executor = multiprocessing.Pool(workers)
         else:
             self.executor = ThreadPool(workers)
+        self.workers = workers
         self.queue = queue.Queue(max_queue_size)
         self.stop_signal = threading.Event()
         self.run_thread = threading.Thread(target=self._run)
@@ -486,17 +504,18 @@ def start(self, workers=1, max_queue_size=10):
     def _run(self):
         """Function to submit request to the executor and queue the `Future` objects."""
         sequence = list(range(len(self.sequence)))
+        self._send_sequence()  # Share the initial sequence
         while True:
             if self.shuffle:
                 random.shuffle(sequence)
             for i in sequence:
                 if self.stop_signal.is_set():
                     return
                 self.queue.put(
-                    self.executor.apply_async(get_index,
-                                              (self.sequence, i)), block=True)
+                    self.executor.apply_async(get_index, (i,)), block=True)
             # Call the internal on epoch end.
             self.sequence.on_epoch_end()
+            self._send_sequence()  # Update the pool
 
     def get(self):
         """Creates a generator to extract data from the queue.
@@ -516,6 +535,19 @@ def get(self):
             self.stop()
             raise StopIteration(e)
 
+    def _send_sequence(self):
+        """Send current Sequence to all workers."""
+        global _SHARED_SEQUENCE
+        _SHARED_SEQUENCE = self.sequence  # For new processes that may spawn
+        if not self.use_multiprocessing:
+            # Threads are from the same process so they already share the sequence.
+            return
+        _SHARED_DICT.clear()
+        while len(_SHARED_DICT) < self.workers and not self.stop_signal.is_set():
+            # Ask the pool to update till everyone is updated.
+            self.executor.apply(_update_sequence, args=(self.sequence,))
+        # We're done with the update
+
     def stop(self, timeout=None):
         """Stops running threads and wait for them to exit, if necessary.
 

tests/keras/utils/data_utils_test.py

@@ -111,7 +111,7 @@ def g(*a, **kw):
     return g
 
 
-class TestSequence(Sequence):
+class DummySequence(Sequence):
     def __init__(self, shape):
         self.shape = shape
 
@@ -149,7 +149,7 @@ def create_generator_from_sequence_pcs(ds):
 
 def test_generator_enqueuer_threads():
     enqueuer = GeneratorEnqueuer(create_generator_from_sequence_threads(
-        TestSequence([3, 200, 200, 3])), use_multiprocessing=False)
+        DummySequence([3, 200, 200, 3])), use_multiprocessing=False)
     enqueuer.start(3, 10)
     gen_output = enqueuer.get()
     acc = []
@@ -166,7 +166,7 @@ def test_generator_enqueuer_threads():
 
 def test_generator_enqueuer_processes():
     enqueuer = GeneratorEnqueuer(create_generator_from_sequence_pcs(
-        TestSequence([3, 200, 200, 3])), use_multiprocessing=True)
+        DummySequence([3, 200, 200, 3])), use_multiprocessing=True)
     enqueuer.start(3, 10)
     gen_output = enqueuer.get()
     acc = []
@@ -195,7 +195,7 @@ def test_generator_enqueuer_fail_processes():
 
 
 def test_ordered_enqueuer_threads():
-    enqueuer = OrderedEnqueuer(TestSequence([3, 200, 200, 3]), use_multiprocessing=False)
+    enqueuer = OrderedEnqueuer(DummySequence([3, 200, 200, 3]), use_multiprocessing=False)
     enqueuer.start(3, 10)
     gen_output = enqueuer.get()
     acc = []
@@ -206,7 +206,7 @@ def test_ordered_enqueuer_threads():
 
 
 def test_ordered_enqueuer_threads_not_ordered():
-    enqueuer = OrderedEnqueuer(TestSequence([3, 200, 200, 3]),
+    enqueuer = OrderedEnqueuer(DummySequence([3, 200, 200, 3]),
                                use_multiprocessing=False,
                                shuffle=True)
     enqueuer.start(3, 10)
@@ -219,7 +219,7 @@ def test_ordered_enqueuer_threads_not_ordered():
 
 
 def test_ordered_enqueuer_processes():
-    enqueuer = OrderedEnqueuer(TestSequence([3, 200, 200, 3]), use_multiprocessing=True)
+    enqueuer = OrderedEnqueuer(DummySequence([3, 200, 200, 3]), use_multiprocessing=True)
     enqueuer.start(3, 10)
     gen_output = enqueuer.get()
     acc = []