fix garray_to_cudandarray for dimensions of 0. CudaNdarray need a strides of 0…

theano/misc/gnumpy_utils.py

@@ -106,8 +106,11 @@ try:
             strides = [1]
             for i in x.shape[::-1][:-1]:
                 strides.append(strides[-1]*i)
-            strides = tuple(strides[::-1])
-
+            strides = strides[::-1]
+            for i in range(len(strides)):
+                if x.shape[i] == 1:
+                    strides[i] = 0
+            strides = tuple(strides)
 
             import ctypes
             ptr_long = long(ctypes.cast(x._base.mat.data_device, ctypes.c_void_p).value)

theano/misc/tests/test_gnumpy_utils.py

@@ -63,3 +63,16 @@ def test2(shape=(3, 4, 5)):
     assert A_cnd.gpudata == B.gpudata
     v = numpy.asarray(B)
     assert (v == A).all()
+
+
+def test_broadcast_dims():
+    """
+    Test with some dimensions being 1.
+    CudaNdarray use 0 for strides for those dimensions.
+    """
+    test((1, 2, 3))
+    test((2, 1, 3))
+    test((2, 3, 1))
+    test2((1, 2, 3))
+    test2((2, 1, 3))
+    test2((2, 3, 1))