!3501 fix sparse feature bug for auto parallel

Merge pull request !3501 from lirongzhen1/r0.6

mindspore/ops/_grad/grad_comm_ops.py

@@ -200,14 +200,14 @@ def get_bprop_mirror_operator(self):
                 float_one = F.scalar_cast(1.0, F.dtype(grad))
                 num = F.scalar_cast(dev_num, F.dtype(grad))
                 grad = mul(grad, cast(F.scalar_to_array(float_one/num), F.dtype(grad)))
-                dx = (indices, grad, dout.dense_shape())
+                dx = IndexedSlices(indices, grad, dout.dense_shape())
         else:
             if F.issubclass_(F.typeof(dout), mstype.tensor):
                 dx = all_reduce(dout)
             else:
                 indices = all_gather(dout.indices())
                 grad = all_gather(dout.values())
-                dx = (indices, grad, dout.dense_shape())
+                dx = IndexedSlices(indices, grad, dout.dense_shape())
 
         return (dx,)
     return bprop