adds dtype in props of AllocEmpty and remove debug print

theano/tensor/basic.py

@@ -5473,7 +5473,7 @@ class Choose(Op):
 
 class AllocEmpty(gof.Op):
     """Implement Alloc on the gpu, but without initializing memory."""
-    __props__ = ()
+    __props__ = ("dtype",)
 
     # specify the type of the data
     def __init__(self, dtype):
@@ -5550,8 +5550,7 @@ class AllocEmpty(gof.Op):
         return [node.inputs]
 
     def c_code_cache_version(self):
-        return None
-        #return (1,)
+        return (2,)
 
     def do_constant_folding(self, node):
         return False

theano/tensor/blas.py

@@ -1830,21 +1830,18 @@ def local_dot22_to_ger_or_gemv(node):
             # x and y are both vectors so this qualifies for a sdot / ddot
             # TODO: Theano doesn't have a sdot, but gemv is better than _dot22
             xv = x.dimshuffle(1)
-            #zeros = T.zeros([1], x.dtype)
             zeros = T.AllocEmpty(x.dtype)(1)
             rval = gemv_no_inplace(zeros, one, y.T, xv, zero)
             return [rval.dimshuffle('x', 0)]
         if xb[0] and not yb[0] and not yb[1]:
             # x is vector, y is matrix so try gemv
             xv = x.dimshuffle(1)
-            #zeros = T.zeros([y.shape[1]], x.dtype)
             zeros = T.AllocEmpty(x.dtype)(y.shape[1])
             rval = gemv_no_inplace(zeros, one, y.T, xv, zero)
             return [rval.dimshuffle('x', 0)]
         if not xb[0] and not xb[1] and yb[1]:
             # x is matrix, y is vector, try gemv
             yv = y.dimshuffle(0)
-            #zeros = T.zeros([x.shape[0]], dtype=x.dtype)
             zeros = T.AllocEmpty(x.dtype)(x.shape[0])
             rval = gemv_no_inplace(zeros, one, x, yv, zero)
             return [rval.dimshuffle(0, 'x')]

theano/tensor/tests/test_blas.py

@@ -930,6 +930,7 @@ def test_dot22scalar():
                                                 mode=mode_blas_opt)
                             topo = f.maker.fgraph.toposort()
                             check_dot22scalar(f, 5)
+                            #print (av.dtype, bv.dtype, cv.dtype)
 
                             f(av, bv, cv)