diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_exp_gemm_wmma_universal_km_kn_mn_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_exp_gemm_wmma_universal_km_kn_mn_instance.hpp
index da7208bce0..7d5486e708 100644
--- a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_exp_gemm_wmma_universal_km_kn_mn_instance.hpp
+++ b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_exp_gemm_wmma_universal_km_kn_mn_instance.hpp
@@ -130,8 +130,7 @@ using device_gemm_wmma_universal_km_kn_mn_odd_n_instances = std::tuple<
     >;
 
 template <typename InOutDataType,
-          BlockGemmPipelineScheduler BlkGemmPipeSched,
-          GemmSpecialization GemmSpec>
+          BlockGemmPipelineScheduler BlkGemmPipeSched>
 using device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances = std::tuple<
     // clang-format off
     //#####################################| ALayout| BLayout| DsLayout |ELayout|     ADataType|     BDataType| DsDataType|     CDataType|   AccDataType|      CShuffle|           A|           B|         CDE|           GEMM| Block|  MPer|  NPer|  KPer| AK1| BK1| MPer| NPer| MRepeat| NRepeat|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle| CShuffleBlockTransferClusterLengths|  CShuffleBlockTransfer|     BlockwiseGemm|                BlockwiseGemm|
@@ -139,11 +138,18 @@ using device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances = std::tupl
     //#####################################|        |        |          |       |              |              |           |              |              |              |   Operation|   Operation|   Operation|               |      |      |      |      |    |    |     |     |        |        | Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle|                                    |                       |         Scheduler|                     Verision|
     //#####################################|        |        |          |       |              |              |           |              |              |              |            |            |            |               |      |      |      |      |    |    |     |     |        |        |                |               |               |               |               |               |          |                |               |               |              |               |               |          |            |            |                                    |                       |                  |                             |
     // Latency friendly
-    // DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough,       GemmSpec,    64,    32,    16,    64,   4,   4,   16,   16,       1,       1,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              4,         0,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,         0,           1,           1,                     S<1,  8, 1,  8>,               S<1,1,1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
-    // DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough,       GemmSpec,    64,    32,    16,    64,   2,   2,   16,   16,       1,       1,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              2,         0,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              2,         0,           1,           1,                     S<1,  8, 1,  8>,               S<1,1,1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
-    // DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough,       GemmSpec,    32,    16,    16,    64,   4,   4,   16,   16,       1,       1,    S< 8,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,         0,    S< 8,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,         0,           1,           1,                     S<1,  8, 1,  4>,               S<1,1,1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
-    // DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough,       GemmSpec,    64,    16,    32,    64,   4,   4,   16,   16,       1,       1,    S< 8,  8, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,         0,    S< 8,  8, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,         0,           1,           1,                     S<1,  8, 1,  8>,               S<1,1,1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
-    // DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough,       GemmSpec,    64,    16,    32,    64,   2,   2,   16,   16,       1,       1,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              2,         0,    S<16,  4, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              2,         0,           1,           1,                     S<1,  8, 1,  8>,               S<1,1,1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    32,    64,   8,   8,   16,   16,       1,       2,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         0,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    32,    64,   8,   8,   16,   16,       1,       2,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    32,   128,   8,   8,   16,   16,       1,       2,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    48,   128,   8,   8,   16,   16,       1,       3,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    64,    32,   8,   8,   16,   16,       1,       4,    S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    64,    32,   8,   8,   16,   16,       1,       4,    S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         1,    S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    64,    64,   8,   8,   16,   16,       1,       4,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    64,   128,   8,   8,   16,   16,       1,       4,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    96,    64,   8,   8,   16,   16,       1,       6,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,    96,   128,   8,   8,   16,   16,       1,       6,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<16, 16, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   128,   192,    32,   8,   8,   16,   16,       1,       12,   S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<4,  64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>,
+    DeviceBatchedGemmMultiD_Wmma_CShuffleV3<     Col,     Row,   Tuple<>,    Row, InOutDataType, InOutDataType,    Tuple<>,           F32,           F32, InOutDataType, PassThrough, PassThrough, PassThrough, GemmMNKPadding,   256,   256,    96,    64,   8,   8,   16,   16,       2,       6,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,         0,    S<8,  32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,         1,           1,           1,                     S<1, 16, 1, 16>,             S<1, 1, 1>,  BlkGemmPipeSched, BlockGemmPipelineVersion::v1>
     // Memory friendly
     // TODO: add once v2 is implemented
     // clang-format on
diff --git a/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/bf16_bf16_bf16/device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instance.cpp b/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/bf16_bf16_bf16/device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instance.cpp
index 98eb2851c1..8db0818f67 100644
--- a/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/bf16_bf16_bf16/device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instance.cpp
+++ b/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/bf16_bf16_bf16/device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instance.cpp
@@ -33,8 +33,7 @@ void add_device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instanc
         PassThrough,
         PassThrough,
         device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances<BF16,
-                                                                       Intrawave,
-                                                                       GemmMNKPadding>>(instances);
+                                                                       Intrawave>>(instances);
 }
 
 void add_device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instances(
@@ -61,8 +60,7 @@ void add_device_grouped_convnd_bwd_weight_wmma_bf16_bf16_bf16_exp_odd_mn_instanc
         PassThrough,
         PassThrough,
         device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances<BF16,
-                                                                       Intrawave,
-                                                                       GemmMNKPadding>>(instances);
+                                                                       Intrawave>>(instances);
 }
 
 } // namespace instance
diff --git a/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/fp16_fp16_fp16/device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instance.cpp b/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/fp16_fp16_fp16/device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instance.cpp
index 54485d7298..1129d1c9fe 100644
--- a/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/fp16_fp16_fp16/device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instance.cpp
+++ b/library/src/tensor_operation_instance/gpu/grouped_convnd_bwd_weight/explicit_wmma/fp16_fp16_fp16/device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instance.cpp
@@ -33,8 +33,7 @@ void add_device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instances(
         PassThrough,
         PassThrough,
         device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances<F16,
-                                                                       Intrawave,
-                                                                       GemmMNKPadding>>(instances);
+                                                                       Intrawave>>(instances);
 }
 
 void add_device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instances(
@@ -61,8 +60,7 @@ void add_device_grouped_convnd_bwd_weight_wmma_f16_f16_f16_exp_odd_mn_instances(
         PassThrough,
         PassThrough,
         device_gemm_wmma_universal_km_kn_mn_irregular_odd_mn_instances<F16,
-                                                                       Intrawave,
-                                                                       GemmMNKPadding>>(instances);
+                                                                       Intrawave>>(instances);
 }
 
 } // namespace instance