some internal rename

tensorpack/callbacks/inference.py

@@ -46,8 +46,7 @@ class Inferencer(object):
     def after_inference(self):
         """
         Called after a round of inference ends.
-        Returns a dict of statistics which will be logged by the :class:`InferenceRunner`.
-        The inferencer needs to handle other type of logging by itself, if there is any.
+        Returns a dict of scalar statistics which will be logged to monitors.
         """
         return self._after_inference()
 
@@ -72,17 +71,17 @@ class ScalarStats(Inferencer):
     The value will be averaged over all given datapoints.
     """
 
-    def __init__(self, names_to_print, prefix='validation'):
+    def __init__(self, names, prefix='validation'):
         """
         Args:
-            names_to_print(list or str): list of names or just one name. The
+            names(list or str): list of names or just one name. The
                 corresponding tensors have to be scalar.
             prefix(str): a prefix for logging
         """
-        if not isinstance(names_to_print, list):
-            self.names = [names_to_print]
+        if not isinstance(names, list):
+            self.names = [names]
         else:
-            self.names = names_to_print
+            self.names = names
         self.prefix = prefix
 
     def _get_output_tensors(self):
@@ -128,7 +127,7 @@ class ClassificationError(Inferencer):
             wrong_tensor_name(str): name of the ``wrong`` tensor.
                 The default is the same as the default output name of
                 :meth:`prediction_incorrect`.
-            summary_name(str): the name for logging.
+            summary_name(str): the name to log the error with.
         """
         self.wrong_tensor_name = wrong_tensor_name
         self.summary_name = summary_name
@@ -161,7 +160,7 @@ class BinaryClassificationStats(Inferencer):
     prediction vector and the label vector.
     """
 
-    def __init__(self, pred_tensor_name, label_tensor_name, summary_prefix='val'):
+    def __init__(self, pred_tensor_name, label_tensor_name, prefix='val'):
         """
         Args:
             pred_tensor_name(str): name of the 0/1 prediction tensor.
@@ -169,7 +168,7 @@ class BinaryClassificationStats(Inferencer):
         """
         self.pred_tensor_name = pred_tensor_name
         self.label_tensor_name = label_tensor_name
-        self.prefix = summary_prefix
+        self.prefix = prefix
 
     def _get_output_tensors(self):
         return [self.pred_tensor_name, self.label_tensor_name]

tensorpack/callbacks/inference_runner.py

@@ -57,6 +57,8 @@ class OutputTensorDispatcher(object):
 def summary_inferencer(trainer, infs):
     for inf in infs:
         ret = inf.after_inference()
+        if ret is None:
+            continue
         for k, v in six.iteritems(ret):
             try:
                 v = float(v)