diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp
index d91b8182f5..a34dd08e73 100644
--- a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp
+++ b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp
@@ -74,28 +74,28 @@ template <typename GridwiseGemm,
           InMemoryDataOperationEnum OutElementOp>
 __global__ void
 #if CK_USE_LAUNCH_BOUNDS
-__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
+    __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
 #endif
-    kernel_grouped_conv_bwd_data_multiple_d_xdl_cshuffle(
-        const ABDataType* __restrict__ p_a_grid,
-        const ABDataType* __restrict__ p_b_grid,
-        DsPointer p_ds_grid,
-        EDataType* __restrict__ p_e_grid,
-        const AElementwiseOp a_element_op,
-        const BElementwiseOp b_element_op,
-        const CDEElementwiseOp cde_element_op,
-        const AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1,
-        const BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1,
-        const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
-            ds_grid_desc_mblock_mperblock_nblock_nperblock,
-        const EGridDesc_MBlock_MPerBlock_NBlock_NPerBlock
-            e_grid_desc_mblock_mperblock_nblock_nperblock_,
-        const Block2ETileMap block_2_ctile_map,
-        const ComputePtrOffsetOfBatch compute_ptr_offset_of_batch,
-        const ComputePtrOffsetOfN compute_ptr_offset_of_n,
-        const index_t KBatch)
+        kernel_grouped_conv_bwd_data_multiple_d_xdl_cshuffle(
+            const ABDataType* __restrict__ p_a_grid,
+            const ABDataType* __restrict__ p_b_grid,
+            DsPointer p_ds_grid,
+            EDataType* __restrict__ p_e_grid,
+            const AElementwiseOp a_element_op,
+            const BElementwiseOp b_element_op,
+            const CDEElementwiseOp cde_element_op,
+            const AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1,
+            const BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1,
+            const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
+                ds_grid_desc_mblock_mperblock_nblock_nperblock,
+            const EGridDesc_MBlock_MPerBlock_NBlock_NPerBlock
+                e_grid_desc_mblock_mperblock_nblock_nperblock_,
+            const Block2ETileMap block_2_ctile_map,
+            const ComputePtrOffsetOfBatch compute_ptr_offset_of_batch,
+            const ComputePtrOffsetOfN compute_ptr_offset_of_n,
+            const index_t KBatch)
 {
-#if (!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx9__))
+#if(!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx9__))
     // offset base pointer for each work-group
     const index_t g_idx = __builtin_amdgcn_readfirstlane(blockIdx.y);
     const index_t n_idx = __builtin_amdgcn_readfirstlane(blockIdx.z / KBatch);
@@ -387,7 +387,7 @@ __global__ void
   when foward, up means dilate, down means stride
   when backward, up means stride, down means dilate
 */
-/*
+
 enum DepthwiseConv2dDirection
 {
     DIRECTION_FORWARD,
@@ -420,10 +420,6 @@ __global__ void kernel_grouped_conv_bwd_data_optimized_v2(Argument& arg)
                   "Currently BatchPerBlock should be dividable by WaveNum");
     constexpr index_t BatchIter = BatchPerBlock / WaveNum;
 
-    // static_assert(BatchIter % 2 == 0,
-    //               "Currently BatchIter should be dividable by 2, so that we can use double
-    //               buffer");
-
     constexpr index_t TileInW = ((TileOutW - 1) * down_w + kernelW - 1) / up_w + 1;
     constexpr index_t TileInH = ((TileOutH - 1) * down_h + kernelH - 1) / up_h + 1;
     // WaveNum * GroupPerBlk * TileInH * TileInW
@@ -590,7 +586,6 @@ __global__ void kernel_grouped_conv_bwd_data_optimized_v2(Argument& arg)
         }
     }
 }
-*/
 } // namespace
 
 // Conv backward data multiple D: