Simplifying next_to_execute

Do not to return a list with an empty dict, but just an empty list.

Author: jindrahelcl

neuralmonkey/runners/base_runner.py

@@ -73,7 +73,7 @@ def executor(self) -> Executor:
 
         def next_to_execute(self) -> NextExecute:
             """Get the tensors and additional feed dicts for execution."""
-            return self.executor.fetches, [{}]
+            return self.executor.fetches, []
 
         @abstractmethod
         def collect_results(self, results: List[Dict]) -> None:
@@ -122,7 +122,7 @@ def next_to_execute(self) -> NextExecute:
                 for loss in self.executor.loss_names:
                     fetches[loss] = tf.zeros([])
 
-            return fetches, [{}]
+            return fetches, []
     # pylint: enable=too-few-public-methods
 
     def __init__(self,

neuralmonkey/runners/runner.py

@@ -30,7 +30,7 @@ def next_to_execute(self) -> NextExecute:
                 fetches["train_xent"] = tf.zeros([])
                 fetches["runtime_xent"] = tf.zeros([])
 
-            return fetches, [{}]
+            return fetches, []
 
         def collect_results(self, results: List[Dict]) -> None:
             train_loss = 0.

neuralmonkey/trainers/delayed_update_trainer.py

@@ -46,7 +46,7 @@ def next_to_execute(self) -> NextExecute:
             else:  # RESETTING
                 fetches = {"resets": self.executor.reset_ops}
 
-            return fetches, [{}]
+            return fetches, []
 
         def collect_results(self, results: List[Dict]) -> None:
             assert len(results) == 1

neuralmonkey/trainers/generic_trainer.py

@@ -57,7 +57,7 @@ def next_to_execute(self) -> NextExecute:
             if self.summaries:
                 fetches.update(self.executor.summaries)
 
-            return fetches, [{}]
+            return fetches, []
 
         def collect_results(self, results: List[Dict]) -> None:
             assert len(results) == 1

neuralmonkey/trainers/test_multitask_trainer.py

@@ -64,23 +64,23 @@ def test_mt_trainer(self):
         # mparts = trainer.feedables
         fetches, feeds = executable.next_to_execute()
         # self.assertSetEqual(mparts, {self.mpart})
-        self.assertFalse(feeds[0])
+        self.assertFalse(feeds)
 
         self.assertTrue(trainer.trainer_idx == 1)
         self.assertTrue(fetches["losses"][0] == self.mpart.loss)
 
         executable = trainer.get_executable()
         fetches, feeds = executable.next_to_execute()
         # self.assertSetEqual(mparts, {self.mpart_2})
-        self.assertFalse(feeds[0])
+        self.assertFalse(feeds)
 
         self.assertTrue(trainer.trainer_idx == 2)
         self.assertTrue(fetches["losses"][0] == self.mpart_2.loss)
 
         executable = trainer.get_executable()
         fetches, feeds = executable.next_to_execute()
         # self.assertSetEqual(mparts, {self.mpart})
-        self.assertFalse(feeds[0])
+        self.assertFalse(feeds)
 
         self.assertTrue(trainer.trainer_idx == 0)
         self.assertTrue(fetches["losses"][0] == self.mpart.loss)