add __init__.py (fix #705)

tensorpack/callbacks/summary.py

@@ -138,7 +138,7 @@ class SimpleMovingAverage(Callback):
             window_size (int): size of the moving window
         """
 
-        self._tensors_names = [get_op_tensor_name(x)[1] for x in tensors]
+        self._tensor_names = [get_op_tensor_name(x)[1] for x in tensors]
         self._display_names = [get_op_tensor_name(x)[0] for x in tensors]
         self._window = int(window_size)
         self._queue = deque(maxlen=window_size)

tensorpack/tfutils/optimizer.py

@@ -134,7 +134,7 @@ class AccumGradOptimizer(ProxyOptimizer):
     """
     An optimizer which accumulates gradients across :math:`k` :meth:`minimize` calls,
     and apply them together in every :math:`k`th :meth:`minimize` call.
-    This is equivalent to using a :math:`k` times larger batch size plus a
+    This is roughly the same as using a :math:`k` times larger batch size plus a
     :math:`k` times larger learning rate, but uses much less memory.
 
     Note that this implementation may not support all models.