Correct the way I was calling the __init__ functions on the parent classes of…

theano/tensor/blas_c.py

@@ -574,9 +574,8 @@ def gemv_c_code(aa, xx, yy, zz, alpha, beta, destructive, fail, force_init_beta=
 
 
 class CGemv(BaseBLAS, Gemv):
-    def __init__(self, force_init_beta=False, **kwargs):
-        super(BaseBLAS, self).__init__(**kwargs)
-        super(Gemv, self).__init__()
+    def __init__(self, inplace, force_init_beta=False):
+        super(CGemv, self).__init__(inplace)
 
 	self.force_init_beta = force_init_beta
 

theano/tensor/tests/test_blas_c.py

@@ -137,7 +137,10 @@ class TestCGemv(TestCase, TestOptimizationMixin):
 
         # Assert that the dot was optimized somehow
         self.assertFunctionContains0(f, tensor.dot)
-        self.assertFunctionContains1(f, CGemv(True))
+        self.assertFunctionContains1(
+            f,
+            CGemv(inplace=True, force_init_beta=True)
+        )
 
         # Assert they produce the same output
         assert numpy.allclose(f(self.xval, self.Aval),
@@ -155,7 +158,10 @@ class TestCGemv(TestCase, TestOptimizationMixin):
 
         # Assert that the dot was optimized somehow
         self.assertFunctionContains0(f, tensor.dot)
-        self.assertFunctionContains1(f, CGemv(True))
+        self.assertFunctionContains1(
+            f,
+            CGemv(inplace=True, force_init_beta=True)
+        )
 
         # Assert they produce the same output
         assert numpy.allclose(f(self.Aval, self.yval),