Fix KPack and enable existing instances on gfx950 (#1871)

include/ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_gemm_multiple_d_welford_first_half_xdl_cshuffle.hpp

@@ -515,9 +515,16 @@ struct GridwiseGemmMultipleDWelfordFirstHalf_xdl_cshuffle
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack =
-            math::max(math::lcm(AK1, BK1),
-                      MfmaSelector<ABDataType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            math::max(lcm_AK1_BK1,
+                      MfmaSelector<ABDataType, MPerXdl, NPerXdl, ABDataType, is_single_rate_mfma>::
+                          selected_mfma.k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_gemm_xdl_cshuffle_v1.hpp

@@ -448,8 +448,16 @@ struct GridwiseBatchedGemmGemm_Xdl_CShuffle
         //   acc1[m][o] += acc[m][n] * B1[n][o]
 
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_v2<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_gemm_multiple_d_xdl_cshuffle_v1.hpp

@@ -361,10 +361,18 @@ struct GridwiseBatchedGemmMultipleDGemmMultipleD_Xdl_CShuffle
         const auto M = d0_grid_desc_m_n.GetLength(I0);
         const auto N = d0_grid_desc_m_n.GetLength(I1);
 
-        constexpr auto mfma =
-            MfmaSelector<A0B0B1DataType, Gemm0MPerXdl, Gemm0NPerXdl>::selected_mfma;
-        constexpr auto N3 = mfma.num_groups_per_blk;
-        constexpr auto N5 = mfma.group_size;
+        constexpr bool is_single_rate_mfma =
+            ((is_same<A0B0B1DataType, half_t>::value || is_same<A0B0B1DataType, bhalf_t>::value) &&
+             math::lcm(A0K1, B0K1) <= 4)
+                ? true
+                : false;
+        constexpr auto mfma = MfmaSelector<A0B0B1DataType,
+                                           Gemm0MPerXdl,
+                                           Gemm0NPerXdl,
+                                           A0B0B1DataType,
+                                           is_single_rate_mfma>::selected_mfma;
+        constexpr auto N3   = mfma.num_groups_per_blk;
+        constexpr auto N5   = mfma.group_size;
         return transform_tensor_descriptor(
             d0_grid_desc_m_n,
             make_tuple(make_unmerge_transform(make_tuple(
@@ -643,9 +651,19 @@ struct GridwiseBatchedGemmMultipleDGemmMultipleD_Xdl_CShuffle
         //   acc1[m][o] += acc[m][n] * B1[n][o]
 
         // sanity check
-        constexpr index_t KPack = math::max(
-            math::lcm(A0K1, B0K1),
-            MfmaSelector<A0B0B1DataType, Gemm0MPerXdl, Gemm0NPerXdl>::selected_mfma.k_per_blk);
+        constexpr auto lcm_A0K1_B0K1 = math::lcm(A0K1, B0K1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<A0B0B1DataType, half_t>::value || is_same<A0B0B1DataType, bhalf_t>::value) &&
+             lcm_A0K1_B0K1 <= 4)
+                ? true
+                : false;
+        constexpr index_t KPack =
+            math::max(lcm_A0K1_B0K1,
+                      MfmaSelector<A0B0B1DataType,
+                                   Gemm0MPerXdl,
+                                   Gemm0NPerXdl,
+                                   A0B0B1DataType,
+                                   is_single_rate_mfma>::selected_mfma.k_per_blk);
 
         auto blockwise_gemm0 = BlockwiseGemmXdlops_v2<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_softmax_gemm_xdl_cshuffle_v1.hpp

@@ -343,10 +343,16 @@ struct GridwiseBatchedGemmMultipleDSoftmaxGemm_Xdl_CShuffle
         const auto M = d0_grid_desc_m_n.GetLength(I0);
         const auto N = d0_grid_desc_m_n.GetLength(I1);
 
-        constexpr auto mfma = MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma;
-        constexpr auto N3   = mfma.num_groups_per_blk;
-        constexpr auto N4   = mfma.num_input_blks;
-        constexpr auto N5   = mfma.group_size;
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             math::lcm(AK1, BK1) <= 4)
+                ? true
+                : false;
+        constexpr auto mfma =
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma;
+        constexpr auto N3 = mfma.num_groups_per_blk;
+        constexpr auto N4 = mfma.num_input_blks;
+        constexpr auto N5 = mfma.group_size;
         return transform_tensor_descriptor(
             d0_grid_desc_m_n,
             make_tuple(make_unmerge_transform(
@@ -552,8 +558,16 @@ struct GridwiseBatchedGemmMultipleDSoftmaxGemm_Xdl_CShuffle
         //   acc1[m][o] += acc[m][n] * B1[n][o]
 
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_v2<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_xdl_cshuffle_v1.hpp

@@ -469,8 +469,16 @@ struct GridwiseBatchedGemmSoftmaxGemm_Xdl_CShuffle
         //   acc1[m][o] += acc[m][n] * B1[n][o]
 
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_v2<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_bias_add_reduce_xdl_cshuffle_v1.hpp

@@ -498,8 +498,16 @@ struct GridwiseGemmBiasAddReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_multiple_r_xdl_cshuffle.hpp

@@ -464,8 +464,16 @@ struct GridwiseGemmMultipleDMultipleR_k0mk1_k0nk1_mn_xdl_cshuffle_v1
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_splitk_cshuffle.hpp

@@ -599,9 +599,16 @@ struct GridwiseGemmMultipleD_xdl_splitk_cshuffle
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
-        constexpr index_t KPack =
-            math::max(math::lcm(AK1, BK1),
-                      MfmaSelector<AComputeType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<AComputeType, half_t>::value || is_same<AComputeType, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
+        constexpr index_t KPack = math::max(
+            lcm_AK1_BK1,
+            MfmaSelector<AComputeType, MPerXdl, NPerXdl, AComputeType, is_single_rate_mfma>::
+                selected_mfma.k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_reduce_xdl_cshuffle_v1.hpp

@@ -451,8 +451,16 @@ struct GridwiseGemmReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle.hpp

@@ -581,9 +581,16 @@ struct GridwiseGemmSplitKMultipleD_xdl_cshuffle
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack =
-            math::max(math::lcm(AK1, BK1),
-                      MfmaSelector<ABDataType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            math::max(lcm_AK1_BK1,
+                      MfmaSelector<ABDataType, MPerXdl, NPerXdl, ABDataType, is_single_rate_mfma>::
+                          selected_mfma.k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,
@@ -1006,9 +1013,16 @@ struct GridwiseGemmSplitKMultipleD_xdl_cshuffle
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack =
-            math::max(math::lcm(AK1, BK1),
-                      MfmaSelector<ABDataType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            math::max(lcm_AK1_BK1,
+                      MfmaSelector<ABDataType, MPerXdl, NPerXdl, ABDataType, is_single_rate_mfma>::
+                          selected_mfma.k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle_v2.hpp

@@ -595,9 +595,16 @@ struct GridwiseGemmMultipleD_xdl_splitk_cshuffle
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
-        constexpr index_t KPack =
-            math::max(math::lcm(AK1, BK1),
-                      MfmaSelector<ComputeType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<ComputeType, half_t>::value || is_same<ComputeType, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
+        constexpr index_t KPack = math::max(
+            lcm_AK1_BK1,
+            MfmaSelector<ComputeType, MPerXdl, NPerXdl, ComputeType, is_single_rate_mfma>::
+                selected_mfma.k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_bwd_weight_v3.hpp

@@ -79,9 +79,16 @@ struct GridwiseGemm_xdl_cshuffle_v3
     static constexpr auto AK1Number = Number<AK1Value>{};
     static constexpr auto BK1Number = Number<BK1Value>{};
 
+    static constexpr auto lcm_AK1_BK1 = math::lcm(AK1Number, BK1Number);
+    static constexpr bool is_single_rate_mfma =
+        ((is_same<ComputeTypeA, half_t>::value || is_same<ComputeTypeA, bhalf_t>::value) &&
+         lcm_AK1_BK1 <= 4)
+            ? true
+            : false;
     static constexpr index_t KPack =
-        math::max(math::lcm(AK1Number, BK1Number),
-                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        math::max(lcm_AK1_BK1,
+                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>::
+                      selected_mfma.k_per_blk);
 
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
 

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_streamk_v3.hpp

@@ -139,9 +139,16 @@ struct GridwiseGemm_xdl_cshuffle_streamk_v3
     static constexpr auto AK1Number = Number<AK1Value>{};
     static constexpr auto BK1Number = Number<BK1Value>{};
 
+    static constexpr auto lcm_AK1_BK1 = math::lcm(AK1Number, BK1Number);
+    static constexpr bool is_single_rate_mfma =
+        ((is_same<ComputeTypeA, half_t>::value || is_same<ComputeTypeA, bhalf_t>::value) &&
+         lcm_AK1_BK1 <= 4)
+            ? true
+            : false;
     static constexpr index_t KPack =
-        math::max(math::lcm(AK1Number, BK1Number),
-                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        math::max(lcm_AK1_BK1,
+                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>::
+                      selected_mfma.k_per_blk);
 
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
     __host__ static auto CalculateMPadded(index_t M)

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v2.hpp

@@ -869,9 +869,16 @@ struct GridwiseGemm_xdl_cshuffle_v2
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
-        constexpr index_t KPack =
-            math::max(math::lcm(AK1Number, BK1Number),
-                      MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1Number, BK1Number);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<ComputeTypeA, half_t>::value || is_same<ComputeTypeA, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
+        constexpr index_t KPack = math::max(
+            lcm_AK1_BK1,
+            MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>::
+                selected_mfma.k_per_blk);
 
         // auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
         //     BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3.hpp

@@ -147,9 +147,16 @@ struct GridwiseGemm_xdl_cshuffle_v3
     static constexpr auto AK1Number = Number<AK1Value>{};
     static constexpr auto BK1Number = Number<BK1Value>{};
 
+    static constexpr auto lcm_AK1_BK1 = math::lcm(AK1Number, BK1Number);
+    static constexpr bool is_single_rate_mfma =
+        ((is_same<ComputeTypeA, half_t>::value || is_same<ComputeTypeA, bhalf_t>::value) &&
+         lcm_AK1_BK1 <= 4)
+            ? true
+            : false;
     static constexpr index_t KPack =
-        math::max(math::lcm(AK1Number, BK1Number),
-                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        math::max(lcm_AK1_BK1,
+                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>::
+                      selected_mfma.k_per_blk);
 
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
 

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3_b_scale.hpp

@@ -155,9 +155,16 @@ struct GridwiseGemm_xdl_cshuffle_v3
     static constexpr auto AK1Number = Number<AK1Value>{};
     static constexpr auto BK1Number = Number<BK1Value>{};
 
+    static constexpr auto lcm_AK1_BK1 = math::lcm(AK1Number, BK1Number);
+    static constexpr bool is_single_rate_mfma =
+        ((is_same<ComputeTypeA, half_t>::value || is_same<ComputeTypeA, bhalf_t>::value) &&
+         lcm_AK1_BK1 <= 4)
+            ? true
+            : false;
     static constexpr index_t KPack =
-        math::max(math::lcm(AK1Number, BK1Number),
-                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+        math::max(lcm_AK1_BK1,
+                  MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>::
+                      selected_mfma.k_per_blk);
 
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
 
@@ -1424,7 +1431,8 @@ struct GridwiseGemm_xdl_cshuffle_v3
 
         // b scale
         // static_assert(KPerBlock <= ScaleBlockK);
-        static constexpr auto mfma        = MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>{};
+        static constexpr auto mfma =
+            MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>{};
         static constexpr auto KPerXdlops  = mfma.GetKPerXdlops();
         static constexpr auto K1PerXdlops = mfma.GetK1PerXdlops();
         static constexpr auto K0PerXdlops = KPerXdlops / K1PerXdlops;
@@ -1895,7 +1903,8 @@ struct GridwiseGemm_xdl_cshuffle_v3
             KPerBlock);
 
         // B scale
-        static constexpr auto mfma        = MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>{};
+        static constexpr auto mfma =
+            MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeA, is_single_rate_mfma>{};
         static constexpr auto KPerXdlops  = mfma.GetKPerXdlops();
         static constexpr auto K1PerXdlops = mfma.GetK1PerXdlops();
         static constexpr auto K0PerXdlops = KPerXdlops / K1PerXdlops;

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_layernorm_cshuffle_v1.hpp

@@ -489,8 +489,16 @@ struct GridwiseGemmLayernorm_k0mk1_k0nk1_mn_xdl_cshuffle_v1
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t KPack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
             BlockSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_waveletmodel_cshuffle.hpp

@@ -487,9 +487,16 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdl_waveletmodel_cshuffle
         else if(TileMathThreadGroup::IsBelong())
         {
             // branch early for math wave
-            constexpr index_t KPack =
-                math::max(math::lcm(AK1, BK1),
-                          MfmaSelector<ABDataType, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+            constexpr bool is_single_rate_mfma =
+                ((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
+                 lcm_AK1_BK1 <= 4)
+                    ? true
+                    : false;
+            constexpr index_t KPack = math::max(
+                lcm_AK1_BK1,
+                MfmaSelector<ABDataType, MPerXdl, NPerXdl, ABDataType, is_single_rate_mfma>::
+                    selected_mfma.k_per_blk);
 
             auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<
                 TileMathThreadGroupSize,

include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r1.hpp

@@ -446,8 +446,16 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
+        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
+        constexpr bool is_single_rate_mfma =
+            ((is_same<FloatAB, half_t>::value || is_same<FloatAB, bhalf_t>::value) &&
+             lcm_AK1_BK1 <= 4)
+                ? true
+                : false;
         constexpr index_t k_pack = math::max(
-            math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
+            lcm_AK1_BK1,
+            MfmaSelector<FloatAB, MPerXdl, NPerXdl, FloatAB, is_single_rate_mfma>::selected_mfma
+                .k_per_blk);
 
         auto blockwise_gemm =
             BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,