Reverted some hacks as its fixed in master

theano/misc/pycuda_example.py

@@ -183,7 +183,7 @@ class PycudaElemwiseKernelOp(GpuOp):
 class PycudaElemwiseSourceModuleOp(GpuOp):
     nin = property(lambda self: self.scalar_op.nin)
     nout = property(lambda self: self.scalar_op.nout)
-    __props__ = ("scalar_op", "inplace_pattern", "name")
+    __props__ = ("scalar_op", "inplace_pattern")
 
     def __init__(self, scalar_op, inplace_pattern=None, name=None):
         if inplace_pattern is None:

theano/scalar/basic.py

@@ -3853,7 +3853,6 @@ class Composite(ScalarOp):
         self.nin = len(inputs)
         self.nout = len(outputs)
         self.init_fgraph()       # self.fgraph
-        self.init_c_code()
         # Postpone the creation in case it isn't needed.
         #  self.init_name()      # self.name
         self.name = None

theano/tensor/elemwise.py

@@ -471,7 +471,7 @@ second dimension
 
     """
 
-    __props__ = ("scalar_op", "inplace_pattern", "name", "nfunc_spec", "openmp")
+    __props__ = ("scalar_op", "inplace_pattern")
 
     def __init__(self, scalar_op, inplace_pattern=None, name=None,
                  nfunc_spec=None, openmp=None):

theano/tensor/tests/test_opt.py

@@ -5024,6 +5024,7 @@ class T_local_erfc(unittest.TestCase):
         mode_fusion.check_isfinite = False
 
         f = theano.function([x], T.grad(T.log(T.erfc(x)).sum(), x), mode=mode)
+
         assert len(f.maker.fgraph.apply_nodes) == 23, len(f.maker.fgraph.apply_nodes)
         assert all(numpy.isfinite(f(val)))
         assert f.maker.fgraph.outputs[0].dtype == theano.config.floatX