diff --git a/example/19_binary_elementwise/broadcast_add.cpp b/example/19_binary_elementwise/broadcast_add.cpp
index 9dbb38da43..55d1e130bf 100644
--- a/example/19_binary_elementwise/broadcast_add.cpp
+++ b/example/19_binary_elementwise/broadcast_add.cpp
@@ -26,7 +26,7 @@ using EltwiseComputeDataType = F32;
 using Add = ck::tensor_operation::binary_element_wise::Add;
 
 using DeviceElementwiseAddInstance = ck::tensor_operation::device::
-    DeviceBinaryElementwise<F16, F16, CDataType, EltwiseComputeDataType, Add, 8>;
+    DeviceBinaryElementwise<F16, F16, CDataType, EltwiseComputeDataType, Add, 2, 8>;
 
 template <typename HostTensorA,
           typename HostTensorB,
diff --git a/include/ck/tensor_operation/gpu/device/device_binary_elementwise.hpp b/include/ck/tensor_operation/gpu/device/device_binary_elementwise.hpp
index 6a789aa356..60ca2895b5 100644
--- a/include/ck/tensor_operation/gpu/device/device_binary_elementwise.hpp
+++ b/include/ck/tensor_operation/gpu/device/device_binary_elementwise.hpp
@@ -15,15 +15,16 @@ template <typename ADataType,
           typename CDataType,
           typename ComputeDataType,
           typename ElementwiseFunctor,
+          index_t Dim,
           index_t ScalarPerVector>
 struct DeviceBinaryElementwise : public BaseOperator
 {
     static constexpr auto I0 = Number<0>{};
 
-    static auto MakeDescriptor_M0(const std::vector<int>& shape,
-                                  const std::vector<int>& stride,
-                                  index_t gridSize,
-                                  index_t threadPerBlock)
+    static auto MakeDescriptor_M0_2d(const std::vector<int>& shape,
+                                     const std::vector<int>& stride,
+                                     index_t gridSize,
+                                     index_t threadPerBlock)
     {
         const int m = shape[0];
         const int n = shape[1];
@@ -51,6 +52,17 @@ struct DeviceBinaryElementwise : public BaseOperator
         return desc_m0_pad;
     }
 
+    static auto MakeDescriptor_M0(const std::vector<int>& shape,
+                                  const std::vector<int>& stride,
+                                  index_t gridSize,
+                                  index_t threadPerBlock)
+    {
+        if constexpr(Dim == 2)
+            return MakeDescriptor_M0_2d(shape, stride, gridSize, threadPerBlock);
+        else
+            return make_naive_tensor_descriptor(make_tuple(0), make_tuple(0));
+    }
+
     using GridDesc_M0        = decltype(MakeDescriptor_M0({1, 1}, {1, 1}, 1, 1));
     using GridwiseBinEltwise = GridwiseBinaryElementwise_1D<ADataType,
                                                             BDataType,