In sparse dot c_code, replaced a hard-coded 'double' with a more precise

theano/sparse/basic.py

@@ -938,6 +938,9 @@ class StructuredDotCSC(gof.Op):
         """% dict(locals(), **sub)
 
         return rval
+
+    def c_code_cache_version(self):
+        return (1,)
 sd_csc = StructuredDotCSC()
 
 class StructuredDotCSR(gof.Op):
@@ -1052,7 +1055,7 @@ class StructuredDotCSR(gof.Op):
                 for (npy_int32 k_idx = Dptr[m * Sptr]; k_idx < Dptr[(m+1) * Sptr]; ++k_idx)
                 {
                     npy_int32 k = Dind[k_idx * Sind]; // col index of non-null value for row m
-                    const double Amk = Dval[k_idx * Sval]; // actual value at that location
+                    const dtype_%(a_val)s Amk = Dval[k_idx * Sval]; // actual value at that location
                 
                     // get pointer to k-th row of dense matrix
                     const dtype_%(b)s* __restrict__ bk = (dtype_%(b)s*)(%(b)s->data + %(b)s->strides[0] * k);
@@ -1067,6 +1070,9 @@ class StructuredDotCSR(gof.Op):
         }
  
         """% dict(locals(), **sub)
+
+    def c_code_cache_version(self):
+        return (1,)
 sd_csr = StructuredDotCSR()
 
 # register a specialization to replace StructuredDot -> StructuredDotCSx