remove special case __str__. There is too many parameter and the user do not know the order.

theano/tensor/signal/downsample.py

@@ -237,11 +237,6 @@ class DownsampleFactorMax(Op):
                 " 'average_inc_pad' and 'average_exc_pad'. Got %s" % mode)
         self.mode = mode
 
-    def __str__(self):
-        return '%s{%s, %s, %s, %s, %s}' % (
-            self.__class__.__name__,
-            self.ds, self.st, self.ignore_border, self.padding, self.mode)
-
     def make_node(self, x):
         if x.type.ndim != 4:
             raise TypeError()
@@ -488,11 +483,6 @@ class DownsampleFactorMaxGrad(Op):
                 " 'average_inc_pad' and 'average_exc_pad'. Got %s" % mode)
         self.mode = mode
 
-    def __str__(self):
-        return '%s{%s, %s, %s, %s, %s}' % (
-            self.__class__.__name__,
-            self.ds, self.st, self.ignore_border, self.padding, self.mode)
-
     def make_node(self, x, maxout, gz):
         # make_node should only be called by the grad function of
         # DownsampleFactorMax, so these asserts should not fail.
@@ -765,10 +755,6 @@ class DownsampleFactorMaxGradGrad(Op):
             st = ds
         self.st = tuple(st)
 
-    def __str__(self):
-        return '%s{%s,%s,%s}' % (self.__class__.__name__,
-                                 self.ds, self.st, self.ignore_border)
-
     def make_node(self, x, maxout, gz):
         # make_node should only be called by the grad function of
         # DownsampleFactorMaxGrad, so these asserts should not fail.