make the indexing with int and slice into 0d array return the same error as with numpy.

theano/sandbox/cuda/cuda_ndarray.cu

@@ -1084,7 +1084,7 @@ CudaNdarray_Subscript(PyObject * py_self, PyObject * key)
         //int d_idx = PyInt_AsLong(key);
         if (self->nd == 0)
         {
-            PyErr_SetString(PyExc_NotImplementedError, "index into 0-d array");
+            PyErr_SetString(PyExc_IndexError, "0-d arrays can't be indexed");
             return NULL;
         }
         int d_dim = CudaNdarray_HOST_DIMS(self)[0];
@@ -1133,7 +1133,7 @@ CudaNdarray_Subscript(PyObject * py_self, PyObject * key)
     {
         if (self->nd == 0)
         {
-            PyErr_SetString(PyExc_NotImplementedError, "index into 0-d array");
+            PyErr_SetString(PyExc_ValueError, "cannot slice a 0-d array");
             return NULL;
         }
 

theano/sandbox/cuda/tests/test_cuda_ndarray.py

@@ -265,6 +265,17 @@ def test_mapping_getitem_w_int():
 	else:
             raise Exception("Did not generate out or bound error")
 
+    def _cmpfV(x,*y):
+        try:
+            if len(y)==1:
+                x.__getitem__(*y)
+	    else:
+                x.__getitem__(y)
+	except ValueError:
+            pass
+	else:
+            raise Exception("Did not generate out or bound error")
+
     dim =(2,)
     a = theano._asarray(numpy.random.rand(*dim), dtype='float32')
     _a = cuda_ndarray.CudaNdarray(a)
@@ -280,6 +291,8 @@ def test_mapping_getitem_w_int():
     a = theano._asarray(numpy.random.rand(*dim), dtype='float32')
     _a = cuda_ndarray.CudaNdarray(a)
     _cmp(numpy.asarray(_a[...]), a[...])
+    _cmpf(_a,0)
+    _cmpfV(_a,slice(1))
     #TODO: test slice err
     #TODO: test tuple err
 
@@ -292,6 +305,7 @@ def test_mapping_getitem_w_int():
     _cmpf(_a,slice(-1),slice(-1),-10,slice(-1))
     _cmpf(_a,0,slice(0,-1,-20),-10)
     _cmpf(_a,10)
+    _cmpf(_a,(10,0,0,0))
     _cmpf(_a,-10)
 
     _cmp(numpy.asarray(_a[:,:,::-1, ::-1]), a[:,:,::-1,::-1])