fix the last commit in DEBUG_MODE.

theano/sandbox/cuda/cuda_ndarray.cu

@@ -203,6 +203,18 @@ static PyMemberDef CudaNdarray_members[] =
 PyObject * CudaNdarray_CreateArrayObj(CudaNdarray * self)
 {
     int verbose = 0;
+    if(self->nd>=0 && CudaNdarray_SIZE(self)==0){
+      npy_intp * npydims = (npy_intp*)malloc(self->nd * sizeof(npy_intp));
+      assert (npydims);
+      for (int i = 0; i < self->nd; ++i) npydims[i] = (npy_intp)(CudaNdarray_HOST_DIMS(self)[i]);
+      PyObject * rval = PyArray_SimpleNew(self->nd, npydims, REAL_TYPENUM);
+      free(npydims);
+      if (!rval){
+	return NULL;
+      }
+      assert (PyArray_ITEMSIZE(rval) == sizeof(real));
+      return rval;
+    }
     if ((self->nd < 0) || (self->devdata == 0))
     {
         PyErr_SetString(PyExc_ValueError, "can't copy from un-initialized CudaNdarray");

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -35,8 +35,9 @@ def test_sum():
     TODO: test with broadcast
     """
     for shape, pattern in [((0,),[0]),((5,),[0]),
-                           ((5,4),[0,1]),((33,31),[0,1]),((5,4),[1]),((5,4),[0]),#need something bigger then 32 for some opt test.
+                           ((0,0),[0,1]),((1,0),[0,1]),((5,4),[0,1]),((33,31),[0,1]),((5,4),[1]),((5,4),[0]),#need something bigger then 32 for some opt test.
                            ((5,4,3),[0]),((5,4,3),[0,1]),((5,4,3),[2]),((5,4,3),[1,2]),((5,4,3),[0,1,2]),
+                           ((0,0,0,0),[0,1,2,3]),
                            ((5,4,3,20),[2,3]), ((5,4,3,2),[0,1,2,3]), ((5,4,3,2),[0,2,3]),((5,4,3,2),[1,2,3])]:
         a = tensor.TensorType('float32',(False,)*len(shape))()
         b = T.Sum(pattern)(a)

theano/tensor/elemwise.py

@@ -873,6 +873,7 @@ class CAReduce(Op):
                 if variable.shape[dimension] == 0:
                     if hasattr(self.scalar_op, 'identity'):
                         variable = self.scalar_op.identity
+                        break
                     else:
                         raise ValueError("Input (%s) has zero-size on axis %s, but self.scalar_op (%s) has no attribute 'identity'" % (variable, dimension, self.scalar_op))
                 else: