changed Error type to be the same as numpy or more meaningfull.

theano/sandbox/cuda/cuda_ndarray.cu

@@ -2137,7 +2137,7 @@ int CudaNdarray_CopyFromCudaNdarray(CudaNdarray * self, CudaNdarray * other, boo
     }
     if (self->nd != other->nd)
     {
-        PyErr_Format(PyExc_TypeError, "need same number of dims. destination nd=%d, source nd=%d", self->nd, other->nd);
+        PyErr_Format(PyExc_NotImplementedError, "need same number of dims. destination nd=%d, source nd=%d. No broadcasting implemented.", self->nd, other->nd);
         return -1;
     }
     //standard elemwise dim checks (also compute total size)
@@ -2148,7 +2148,7 @@ int CudaNdarray_CopyFromCudaNdarray(CudaNdarray * self, CudaNdarray * other, boo
         if ((CudaNdarray_HOST_DIMS(self)[i] != CudaNdarray_HOST_DIMS(other)[i]) 
 	    && (1!=CudaNdarray_HOST_DIMS(other)[i] || !unbroadcast) )
         {
-	  PyErr_Format(PyExc_TypeError, "need same dimensions for dim %d, destination=%d, source=%d",
+	  PyErr_Format(PyExc_ValueError, "need same dimensions for dim %d, destination=%d, source=%d",
 		       i, CudaNdarray_HOST_DIMS(self)[i], CudaNdarray_HOST_DIMS(other)[i]);
             return -1;
         }

theano/sandbox/cuda/tests/test_cuda_ndarray.py

@@ -426,7 +426,7 @@ def test_setitem_matrix_bad_shape():
         # attempt to assign the ndarray b with setitem                                                                                                                                              
         _a[:,:,1] = _b
         assert False
-    except TypeError, e:
+    except ValueError, e:
         #print e
         assert True