Completly remove the __hash__ and __eq__ from GpuDimShuffle and DimShuffle

theano/sandbox/cuda/basic_ops.py

@@ -337,16 +337,6 @@ class GpuDimShuffle(GpuOp):
 
         self.view_map = {0: [0]}
 
-        self._rehash()
-
-    def __getstate__(self):
-        d = dict(self.__dict__)
-        del d['_hashval']
-        return d
-
-    def __setstate__(self, d):
-        self.__dict__.update(d)
-
     def make_node(self, input):
         ib = tuple(input.type.broadcastable)
         if not ib == self.input_broadcastable:

theano/tensor/elemwise.py

@@ -189,17 +189,6 @@ class DimShuffle(Op):
         if self.inplace:
             self.view_map = {0: [0]}
 
-        self._rehash()
-
-    def __getstate__(self):
-        d = dict(self.__dict__)
-        del d['_hashval']
-        return d
-
-    def __setstate__(self, d):
-        self.__dict__.update(d)
-        self._rehash()
-
     def make_node(self, _input):
         input = as_tensor_variable(_input)
         ib = tuple(input.type.broadcastable)
@@ -230,23 +219,6 @@ class DimShuffle(Op):
 
         return Apply(self, [input], [output])
 
-    def __eq__(self, other):
-        # it's probably not necessary to compare input_broadcastable
-        return type(self) == type(other) \
-            and self.inplace == other.inplace \
-            and self.new_order == other.new_order \
-            and self.input_broadcastable == other.input_broadcastable
-
-    def _rehash(self):
-        self._hashval = (hash(type(self).__name__) ^
-                         hash(type(self).__module__) ^
-                         hash(self.inplace) ^
-                         hash(self.new_order) ^
-                         hash(self.input_broadcastable))
-
-    def __hash__(self):
-        return self._hashval
-
     def __str__(self):
         if self.inplace:
             return "InplaceDimShuffle{%s}" % ",".join(str(x)