@@ -1195,2 +1195,4 @@
                 res = ms.ops.split(res, 1, axis=0)
                 output = cast_to_adapter_tensor(res)
+            else:
+                output = (tensor([], dtype=mstype.int64), tensor([], dtype=mstype.int64))

@@ -1175,0 +1174,4 @@
+        if input_x.numel() == 0:
+            input_shape = input_x.shape
+            new_shape = sizes[:-len(input_shape)] + tuple(np.array(sizes[-len(input_shape):]) * np.array(input_shape))
+            output = tensor([]).reshape(new_shape)

@@ -1672,2 +1674,2 @@
-            warning(warning_msg)
-        output = input_ms.transpose()
+        if input_ms.numel() == 0:
+            output = input_ms.reshape(input_ms.shape[::-1])

@@ -1674,0 +1675,4 @@
+            output = input_ms.reshape(input_ms.shape[::-1])
+        else:
+            if input_ms.ndim <= 2:
+                warning_msg = ("The use of Tensor.T() on tensors of dimension other than 2 to reverse "

@@ -86,3 +86,3 @@
     ms_out = ms_torch.nonzero(ms_tensor, as_tuple=True)
 
-    for i in range(len(ms_out)):
+    for i in range(len(torch_out)):

@@ -125,1 +116,3 @@
-        assert ms_out[i].numpy().dtype == torch_out[i].numpy().dtype
+    param_compare(torch_out, ms_out)
+
+def test_nonzero6():

@@ -1673,2 +1675,2 @@
-            warning(warning_msg)
-        output = input_ms.transpose()
+        if input_ms.numel() == 0:
+            output = Tensor(*(input_ms.shape[::-1]), inner=False)