GEMM/Conv+BiasAdd+ReLU+Add (#55)

* gemm+activation

* move C pointwise operation into threadwise copy

* add pointwise operation to A/B matrix

* update ckProfiler

* adding bias add

* adding bias add

* adding bias add

* added bias add; worked around compiler issues

* clean up

* clean up

* Update README.md

* Update README.md

* Update README.md

* clean up

* add conv_xdl example

* adding conv_xdl_bias_relu_add example

* add conv+bias+relu+add, but has register spill issue

* tweak

* tweak

* refactor

* Update README.md

update readme for example/2_gemm_xdl_bias_relu_add

* clean up

* Update README.md

update readme for example/3_conv_xdl

* Update README.md

composable_kernel/include/tensor_operation/blockwise_tensor_slice_transfer.hpp

@@ -14,6 +14,7 @@ namespace ck {
 // 2. ThreadwiseTensorSliceTransfer_v3 does not keep reference to tensor descriptor
 // 3. ThreadwiseTensorSliceTransfer_v3::Run() does not construct new tensor coordinate
 template <index_t BlockSize,
+          typename SrcElementwiseOperation,
           InMemoryDataOperationEnum_t DstInMemOp,
           typename BlockSliceLengths,
           typename ThreadSliceLengths,
@@ -39,12 +40,17 @@ struct BlockwiseTensorSliceTransfer_v4
 
     using Index = MultiIndex<nDim>;
 
-    __device__ constexpr BlockwiseTensorSliceTransfer_v4(const SrcDesc& src_desc,
-                                                         const Index& src_block_slice_origin,
-                                                         const DstDesc& dst_desc,
-                                                         const Index& dst_block_slice_origin)
-        : threadwise_transfer_(
-              src_desc, make_zero_multi_index<nDim>(), dst_desc, make_zero_multi_index<nDim>())
+    __device__ constexpr BlockwiseTensorSliceTransfer_v4(
+        const SrcDesc& src_desc,
+        const Index& src_block_slice_origin,
+        const DstDesc& dst_desc,
+        const Index& dst_block_slice_origin,
+        const SrcElementwiseOperation& src_element_op)
+        : threadwise_transfer_(src_desc,
+                               make_zero_multi_index<nDim>(),
+                               dst_desc,
+                               make_zero_multi_index<nDim>(),
+                               src_element_op)
 
     {
         static_assert(nDim == remove_reference_t<remove_cv_t<SrcDesc>>::GetNumOfDimension() &&
@@ -147,6 +153,7 @@ struct BlockwiseTensorSliceTransfer_v4
 
     using ThreadwiseTransfer =
         ThreadwiseTensorSliceTransfer_v3r2<ThreadSliceLengths,
+                                           SrcElementwiseOperation,
                                            DstInMemOp,
                                            SrcData,
                                            DstData,

composable_kernel/include/tensor_operation/gridwise_gemm_xdlops_v2r3.hpp

@@ -19,6 +19,9 @@ template <typename GridwiseGemm,
           typename AGridDesc_K0_M_K1,
           typename BGridDesc_K0_N_K1,
           typename CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
           typename Block2CTileMap,
           bool HasMainKBlockLoop>
 __global__ void
@@ -32,6 +35,9 @@ __global__ void
             const AGridDesc_K0_M_K1 a_grid_desc_k0_m_k1,
             const BGridDesc_K0_N_K1 b_grid_desc_k0_n_k1,
             const CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2 c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+            const AElementwiseOperation a_element_op,
+            const BElementwiseOperation b_element_op,
+            const CElementwiseOperation c_element_op,
             const Block2CTileMap block_2_ctile_map)
 {
     constexpr index_t shared_block_size =
@@ -46,6 +52,9 @@ __global__ void
                                                   a_grid_desc_k0_m_k1,
                                                   b_grid_desc_k0_n_k1,
                                                   c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                                  a_element_op,
+                                                  b_element_op,
+                                                  c_element_op,
                                                   block_2_ctile_map);
 }
 #elif CK_EXPERIMENTAL_PASS_TENSOR_DESCRIPTOR_BY_VOID_POINTER
@@ -55,6 +64,9 @@ template <typename GridwiseGemm,
           typename AGridDesc_K0_M_K1,
           typename BGridDesc_K0_N_K1,
           typename CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
           typename Block2CTileMap>
 __global__ void
 #if CK_USE_LAUNCH_BOUNDS
@@ -66,6 +78,9 @@ __global__ void
                                 const void CONSTANT* p_a_grid_desc_k0_m_k1,
                                 const void CONSTANT* p_b_grid_desc_k0_n_k1,
                                 const void CONSTANT* p_c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                const void CONSTANT* p_a_element_op,
+                                const void CONSTANT* p_b_element_op,
+                                const void CONSTANT* p_c_element_op,
                                 const void CONSTANT* p_block_2_ctile_map)
 {
     constexpr index_t shared_block_size =
@@ -80,6 +95,12 @@ __global__ void
             cast_pointer_to_generic_address_space(p_c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2));
     const auto block_2_ctile_map = *reinterpret_cast<const Block2CTileMap*>(
         cast_pointer_to_generic_address_space(p_block_2_ctile_map));
+    const auto a_element_op = *reinterpret_cast<const AElementwiseOperation*>(
+        cast_pointer_to_generic_address_space(p_a_element_op));
+    const auto b_element_op = *reinterpret_cast<const BElementwiseOperation*>(
+        cast_pointer_to_generic_address_space(p_b_element_op));
+    const auto c_element_op = *reinterpret_cast<const CElementwiseOperation*>(
+        cast_pointer_to_generic_address_space(p_c_element_op));
 
     __shared__ FloatAB p_shared_block[shared_block_size];
 
@@ -90,6 +111,9 @@ __global__ void
                                                   a_grid_desc_k0_m_k1,
                                                   b_grid_desc_k0_n_k1,
                                                   c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                                  a_element_op,
+                                                  b_element_op,
+                                                  c_element_op,
                                                   block_2_ctile_map);
 }
 #endif
@@ -102,6 +126,9 @@ template <index_t BlockSize,
           typename AGridDesc_K0_M_K1,
           typename BGridDesc_K0_N_K1,
           typename CGridDesc_M_N,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
           index_t MPerBlock,
           index_t NPerBlock,
           index_t K0PerBlock,
@@ -353,6 +380,9 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
         const AGridDesc_K0_M_K1& a_grid_desc_k0_m_k1,
         const BGridDesc_K0_N_K1& b_grid_desc_k0_n_k1,
         const CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2& c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+        const AElementwiseOperation& a_element_op,
+        const BElementwiseOperation& b_element_op,
+        const CElementwiseOperation& c_element_op,
         const Block2CTileMap& block_2_ctile_map)
     {
         const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
@@ -411,6 +441,7 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
         // A matrix blockwise copy
         auto a_blockwise_copy =
             BlockwiseTensorSliceTransfer_v4<BlockSize,
+                                            AElementwiseOperation,
                                             InMemoryDataOperationEnum_t::Set,
                                             Sequence<K0PerBlock, MPerBlock, K1>,
                                             ABlockTransferThreadSliceLengths_K0_M_K1,
@@ -432,11 +463,13 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
                                             true>(a_grid_desc_k0_m_k1,
                                                   make_multi_index(0, m_block_data_idx_on_grid, 0),
                                                   a_block_desc_k0_m_k1,
-                                                  make_multi_index(0, 0, 0));
+                                                  make_multi_index(0, 0, 0),
+                                                  a_element_op);
 
         // B matrix blockwise copy
         auto b_blockwise_copy =
             BlockwiseTensorSliceTransfer_v4<BlockSize,
+                                            BElementwiseOperation,
                                             InMemoryDataOperationEnum_t::Set,
                                             Sequence<K0PerBlock, NPerBlock, K1>,
                                             BBlockTransferThreadSliceLengths_K0_N_K1,
@@ -458,7 +491,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
                                             true>(b_grid_desc_k0_n_k1,
                                                   make_multi_index(0, n_block_data_idx_on_grid, 0),
                                                   b_block_desc_k0_n_k1,
-                                                  make_multi_index(0, 0, 0));
+                                                  make_multi_index(0, 0, 0),
+                                                  b_element_op);
 
         // GEMM definition
         //   c_mtx += transpose(a_mtx) * b_mtx
@@ -611,6 +645,7 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
                                                    FloatC,
                                                    decltype(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2),
                                                    decltype(c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                                                   CElementwiseOperation,
                                                    Sequence<M0, N0, I1, I1, M2, I1, M4, I1>,
                                                    CThreadTransferSrcDstAccessOrder,
                                                    CThreadTransferSrcDstVectorDim,
@@ -618,7 +653,6 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
                                                    CGlobalMemoryDataOperation,
                                                    1,
                                                    true>{
-
                     c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
                     make_multi_index(m_thread_data_on_grid_idx[I0],
                                      n_thread_data_on_grid_idx[I0],
@@ -627,7 +661,8 @@ struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3
                                      m_thread_data_on_grid_idx[I2],
                                      m_thread_data_on_grid_idx[I3],
                                      m_thread_data_on_grid_idx[I4],
-                                     n_thread_data_on_grid_idx[I2])};
+                                     n_thread_data_on_grid_idx[I2]),
+                    c_element_op};
 
             c_thread_copy.Run(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2,
                               make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),

composable_kernel/include/tensor_operation/gridwise_gemm_xdlops_v2r5.hpp

+#ifndef CK_GRIDWISE_GEMM_XDLOPS_V2R5_HPP
+#define CK_GRIDWISE_GEMM_XDLOPS_V2R5_HPP
+
+#include "common_header.hpp"
+#include "multi_index_transform_helper.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
+#include "blockwise_gemm_xdlops.hpp"
+#include "blockwise_tensor_slice_transfer.hpp"
+#include "threadwise_tensor_slice_transfer_v1r4.hpp"
+#include "threadwise_tensor_slice_set.hpp"
+
+namespace ck {
+
+template <typename GridwiseGemm,
+          typename FloatAB,
+          typename FloatC,
+          typename AGridDesc_K0_M_K1,
+          typename BGridDesc_K0_N_K1,
+          typename CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2,
+          typename C0GridDesc_M0_N0_M1_N1_M2_M3_M4_N2,
+          typename C1GridDesc_M0_N0_M1_N1_M2_M3_M4_N2,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
+          typename Block2CTileMap,
+          bool HasMainKBlockLoop>
+__global__ void
+#if CK_USE_LAUNCH_BOUNDS
+    __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
+#endif
+        kernel_gemm_xdlops_v2r5(
+            const FloatAB* __restrict__ p_a_grid,
+            const FloatAB* __restrict__ p_b_grid,
+            FloatC* __restrict__ p_c_grid,
+            const FloatC* __restrict__ p_c0_grid,
+            const FloatC* __restrict__ p_c1_grid,
+            const AGridDesc_K0_M_K1 a_grid_desc_k0_m_k1,
+            const BGridDesc_K0_N_K1 b_grid_desc_k0_n_k1,
+            const CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2 c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+            const C0GridDesc_M0_N0_M1_N1_M2_M3_M4_N2 c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+            const C1GridDesc_M0_N0_M1_N1_M2_M3_M4_N2 c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+            const AElementwiseOperation a_element_op,
+            const BElementwiseOperation b_element_op,
+            const CElementwiseOperation c_element_op,
+            const Block2CTileMap block_2_ctile_map)
+{
+    constexpr index_t shared_block_size =
+        GridwiseGemm::GetSharedMemoryNumberOfByte() / sizeof(FloatAB);
+
+    __shared__ FloatAB p_shared_block[shared_block_size];
+
+    GridwiseGemm::template Run<HasMainKBlockLoop>(p_a_grid,
+                                                  p_b_grid,
+                                                  p_c_grid,
+                                                  p_c0_grid,
+                                                  p_c1_grid,
+                                                  p_shared_block,
+                                                  a_grid_desc_k0_m_k1,
+                                                  b_grid_desc_k0_n_k1,
+                                                  c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                                  c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                                  c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                                                  a_element_op,
+                                                  b_element_op,
+                                                  c_element_op,
+                                                  block_2_ctile_map);
+}
+
+template <index_t BlockSize,
+          typename FloatAB,
+          typename FloatAcc,
+          typename FloatC,
+          InMemoryDataOperationEnum_t CGlobalMemoryDataOperation,
+          typename AGridDesc_K0_M_K1,
+          typename BGridDesc_K0_N_K1,
+          typename CGridDesc_M_N,
+          typename C0GridDesc_M_N,
+          typename C1GridDesc_M_N,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
+          index_t MPerBlock,
+          index_t NPerBlock,
+          index_t K0PerBlock,
+          index_t MPerXDL,
+          index_t NPerXDL,
+          index_t K1Value,
+          index_t MRepeat,
+          index_t NRepeat,
+          typename ABlockTransferThreadSliceLengths_K0_M_K1,
+          typename ABlockTransferThreadClusterLengths_K0_M_K1,
+          typename ABlockTransferThreadClusterArrangeOrder,
+          typename ABlockTransferSrcAccessOrder,
+          index_t ABlockTransferSrcVectorDim,
+          index_t ABlockTransferSrcScalarPerVector,
+          index_t ABlockTransferDstScalarPerVector_K1,
+          bool AThreadTransferSrcResetCoordinateAfterRun,
+          typename BBlockTransferThreadSliceLengths_K0_N_K1,
+          typename BBlockTransferThreadClusterLengths_K0_N_K1,
+          typename BBlockTransferThreadClusterArrangeOrder,
+          typename BBlockTransferSrcAccessOrder,
+          index_t BBlockTransferSrcVectorDim,
+          index_t BBlockTransferSrcScalarPerVector,
+          index_t BBlockTransferDstScalarPerVector_K1,
+          bool BThreadTransferSrcResetCoordinateAfterRun,
+          typename CThreadTransferSrcDstAccessOrder,
+          index_t CThreadTransferSrcDstVectorDim,
+          index_t CThreadTransferDstScalarPerVector,
+          typename AGridStepHacks,
+          typename BGridStepHacks,
+          typename CGridStepHacks,
+          typename AGridMoveSliceWindowStepHacks,
+          typename BGridMoveSliceWindowStepHacks,
+          bool CAccessOrderMRepeatNRepeat,
+          bool ABlockLdsExtraM,
+          bool BBlockLdsExtraN>
+struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r5
+{
+    static constexpr auto I0 = Number<0>{};
+    static constexpr auto I1 = Number<1>{};
+    static constexpr auto I2 = Number<2>{};
+    static constexpr auto I3 = Number<3>{};
+    static constexpr auto I4 = Number<4>{};
+    static constexpr auto I5 = Number<5>{};
+    static constexpr auto I6 = Number<6>{};
+    static constexpr auto I7 = Number<7>{};
+
+    // K1 should be Number<...>
+    static constexpr auto K1 = Number<K1Value>{};
+
+    __host__ __device__ static constexpr index_t GetSharedMemoryNumberOfByte()
+    {
+        constexpr auto max_lds_align = K1;
+
+        // A matrix in LDS memory, dst of blockwise copy
+        constexpr auto a_block_desc_k0_m_k1 = [&]() {
+            if constexpr(ABlockLdsExtraM)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                    make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        // B matrix in LDS memory, dst of blockwise copy
+        constexpr auto b_block_desc_k0_n_k1 = [&]() {
+            if constexpr(BBlockLdsExtraN)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                    make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        // LDS allocation for A and B: be careful of alignment
+        constexpr auto a_block_space_size =
+            math::integer_least_multiple(a_block_desc_k0_m_k1.GetElementSpaceSize(), max_lds_align);
+
+        constexpr auto b_block_space_size =
+            math::integer_least_multiple(b_block_desc_k0_n_k1.GetElementSpaceSize(), max_lds_align);
+
+        return (a_block_space_size + b_block_space_size) * sizeof(FloatAB);
+    }
+
+    // block_id to matrix tile idx (m0, n0) mapping are controlled by {M01, N01}
+    __host__ __device__ static constexpr bool
+    CheckValidity(const AGridDesc_K0_M_K1& a_grid_desc_k0_m_k1,
+                  const BGridDesc_K0_N_K1& b_grid_desc_k0_n_k1,
+                  const CGridDesc_M_N& c_grid_desc_m_n,
+                  index_t M01,
+                  index_t N01)
+    {
+        static_assert(is_known_at_compile_time<remove_cv_t<decltype(K1)>>::value,
+                      "wrong! K1 need to be known at compile-time");
+
+        static_assert((MPerBlock % (MPerXDL * MRepeat) == 0) &&
+                          (NPerBlock % (NRepeat * NPerXDL)) == 0,
+                      "Invalid tuning param!");
+
+        const auto M  = a_grid_desc_k0_m_k1.GetLength(I1);
+        const auto N  = b_grid_desc_k0_n_k1.GetLength(I1);
+        const auto K0 = a_grid_desc_k0_m_k1.GetLength(I0);
+
+        if(!(M == c_grid_desc_m_n.GetLength(I0) && N == c_grid_desc_m_n.GetLength(I1) &&
+             K0 == b_grid_desc_k0_n_k1.GetLength(I0) && K1 == a_grid_desc_k0_m_k1.GetLength(I2) &&
+             K1 == b_grid_desc_k0_n_k1.GetLength(I2)))
+            return false;
+
+        if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K0 % K0PerBlock == 0))
+            return false;
+
+        // check M01, N01
+        constexpr auto M1 = Number<MPerBlock>{};
+        constexpr auto N1 = Number<NPerBlock>{};
+
+        const auto M0 = M / M1;
+        const auto N0 = N / N1;
+
+        if(!(M0 % M01 == 0 && N0 % N01 == 0))
+            return false;
+
+        // TODO: also check validity of all components (blockwise-copy, threadwise-copy, etc)
+        return true;
+    }
+
+    __host__ __device__ static constexpr index_t
+    CalculateGridSize(const CGridDesc_M_N& c_grid_desc_m_n)
+    {
+        const auto M = c_grid_desc_m_n.GetLength(I0);
+        const auto N = c_grid_desc_m_n.GetLength(I1);
+
+        const index_t grid_size = (M / MPerBlock) * (N / NPerBlock);
+
+        return grid_size;
+    }
+
+    __host__ __device__ static constexpr bool CalculateHasMainK0BlockLoop(index_t K0)
+    {
+        const bool has_main_k0_block_loop = (K0 / K0PerBlock) > 1;
+
+        return has_main_k0_block_loop;
+    }
+
+    // TODO fix this
+    template <typename CGridDesc_M_N_any>
+    __host__ __device__ static constexpr auto
+    MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(const CGridDesc_M_N_any& c_grid_desc_m_n)
+    {
+        constexpr auto max_lds_align = K1;
+
+        // A matrix in LDS memory, dst of blockwise copy
+        constexpr auto a_block_desc_k0_m_k1 = [&]() {
+            if constexpr(ABlockLdsExtraM)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                    make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        // B matrix in LDS memory, dst of blockwise copy
+        constexpr auto b_block_desc_k0_n_k1 = [&]() {
+            if constexpr(BBlockLdsExtraN)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                    make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        using BlockwiseGemm =
+            BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,
+                                                                FloatAB,
+                                                                FloatAcc,
+                                                                decltype(a_block_desc_k0_m_k1),
+                                                                decltype(b_block_desc_k0_n_k1),
+                                                                MPerXDL,
+                                                                NPerXDL,
+                                                                MRepeat,
+                                                                NRepeat,
+                                                                K1>;
+
+        return BlockwiseGemm::MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(c_grid_desc_m_n);
+    }
+
+    // return block_id to C matrix tile idx (m0, n0) mapping
+    __host__ __device__ static constexpr auto
+    MakeBlock2CTileMap(const CGridDesc_M_N& c_grid_desc_m_n, index_t M01, index_t N01)
+    {
+        const auto M = c_grid_desc_m_n.GetLength(I0);
+        const auto N = c_grid_desc_m_n.GetLength(I1);
+
+        constexpr auto M1 = Number<MPerBlock>{};
+        constexpr auto N1 = Number<NPerBlock>{};
+
+        const auto M0 = M / M1;
+        const auto N0 = N / N1;
+
+        const auto M00 = M0 / M01;
+        const auto N00 = N0 / N01;
+
+        const auto m00_m01_n00_n01_to_m0_n0_block_cluster_adaptor =
+            make_single_stage_tensor_adaptor(
+                make_tuple(make_unmerge_transform(make_tuple(M00, M01)),
+                           make_unmerge_transform(make_tuple(N00, N01))),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0, 2>{}, Sequence<1, 3>{}));
+
+        const auto c_blockid_to_m00_m01_n00_n01_block_cluster_adaptor =
+            make_single_stage_tensor_adaptor(
+                make_tuple(make_merge_transform(make_tuple(M00, N00, M01, N01))),
+                make_tuple(Sequence<0, 1, 2, 3>{}),
+                make_tuple(Sequence<0>{}));
+
+        const auto c_blockid_to_m0_n0_block_cluster_adaptor =
+            chain_tensor_adaptors(m00_m01_n00_n01_to_m0_n0_block_cluster_adaptor,
+                                  c_blockid_to_m00_m01_n00_n01_block_cluster_adaptor);
+
+        return c_blockid_to_m0_n0_block_cluster_adaptor;
+    }
+
+    using CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2 =
+        decltype(MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(CGridDesc_M_N{}));
+
+    using C0GridDesc_M0_N0_M1_N1_M2_M3_M4_N2 =
+        decltype(MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(C0GridDesc_M_N{}));
+
+    using C1GridDesc_M0_N0_M1_N1_M2_M3_M4_N2 =
+        decltype(MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(C1GridDesc_M_N{}));
+
+    using Block2CTileMap = decltype(MakeBlock2CTileMap(CGridDesc_M_N{}, 1, 1));
+
+    template <bool HasMainKBlockLoop>
+    __device__ static void
+    Run(const FloatAB* __restrict__ p_a_grid,
+        const FloatAB* __restrict__ p_b_grid,
+        FloatC* __restrict__ p_c_grid,
+        const FloatC* __restrict__ p_c0_grid,
+        const FloatC* __restrict__ p_c1_grid,
+        FloatAB* __restrict__ p_shared_block,
+        const AGridDesc_K0_M_K1& a_grid_desc_k0_m_k1,
+        const BGridDesc_K0_N_K1& b_grid_desc_k0_n_k1,
+        const CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2& c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+        const C0GridDesc_M0_N0_M1_N1_M2_M3_M4_N2& c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+        const C1GridDesc_M0_N0_M1_N1_M2_M3_M4_N2& c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+        const AElementwiseOperation& a_element_op,
+        const BElementwiseOperation& b_element_op,
+        const CElementwiseOperation& c_element_op,
+        const Block2CTileMap& block_2_ctile_map)
+    {
+        const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
+            p_a_grid, a_grid_desc_k0_m_k1.GetElementSpaceSize());
+        const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
+            p_b_grid, b_grid_desc_k0_n_k1.GetElementSpaceSize());
+        auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
+            p_c_grid, c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetElementSpaceSize());
+
+        auto c0_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
+            p_c0_grid, c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetElementSpaceSize());
+
+        auto c1_grid_buf = make_dynamic_buffer<AddressSpaceEnum_t::Global>(
+            p_c1_grid, c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetElementSpaceSize());
+
+        const auto K0 = a_grid_desc_k0_m_k1.GetLength(I0);
+
+        // divide block work by [M, N]
+        const auto block_work_idx =
+            block_2_ctile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
+
+        // HACK: this force m/n_block_data_idx_on_grid into SGPR
+        const index_t m_block_data_idx_on_grid =
+            __builtin_amdgcn_readfirstlane(block_work_idx[I0] * MPerBlock);
+
+        const index_t n_block_data_idx_on_grid =
+            __builtin_amdgcn_readfirstlane(block_work_idx[I1] * NPerBlock);
+
+        // lds max alignment
+        constexpr auto max_lds_align = K1;
+
+        // A matrix in LDS memory, dst of blockwise copy
+        constexpr auto a_block_desc_k0_m_k1 = [&]() {
+            if constexpr(ABlockLdsExtraM)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                    make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        // B matrix in LDS memory, dst of blockwise copy
+        constexpr auto b_block_desc_k0_n_k1 = [&]() {
+            if constexpr(BBlockLdsExtraN)
+            {
+                return make_naive_tensor_descriptor(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                    make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
+            }
+            else
+            {
+                return make_naive_tensor_descriptor_aligned(
+                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
+            }
+        }();
+
+        // A matrix blockwise copy
+        auto a_blockwise_copy =
+            BlockwiseTensorSliceTransfer_v4<BlockSize,
+                                            AElementwiseOperation,
+                                            InMemoryDataOperationEnum_t::Set,
+                                            Sequence<K0PerBlock, MPerBlock, K1>,
+                                            ABlockTransferThreadSliceLengths_K0_M_K1,
+                                            ABlockTransferThreadClusterLengths_K0_M_K1,
+                                            ABlockTransferThreadClusterArrangeOrder,
+                                            FloatAB,
+                                            FloatAB,
+                                            decltype(a_grid_desc_k0_m_k1),
+                                            decltype(a_block_desc_k0_m_k1),
+                                            ABlockTransferSrcAccessOrder,
+                                            Sequence<1, 0, 2>,
+                                            ABlockTransferSrcVectorDim,
+                                            2,
+                                            ABlockTransferSrcScalarPerVector,
+                                            ABlockTransferDstScalarPerVector_K1,
+                                            1,
+                                            1,
+                                            AThreadTransferSrcResetCoordinateAfterRun,
+                                            true>(a_grid_desc_k0_m_k1,
+                                                  make_multi_index(0, m_block_data_idx_on_grid, 0),
+                                                  a_block_desc_k0_m_k1,
+                                                  make_multi_index(0, 0, 0),
+                                                  a_element_op);
+
+        // B matrix blockwise copy
+        auto b_blockwise_copy =
+            BlockwiseTensorSliceTransfer_v4<BlockSize,
+                                            BElementwiseOperation,
+                                            InMemoryDataOperationEnum_t::Set,
+                                            Sequence<K0PerBlock, NPerBlock, K1>,
+                                            BBlockTransferThreadSliceLengths_K0_N_K1,
+                                            BBlockTransferThreadClusterLengths_K0_N_K1,
+                                            BBlockTransferThreadClusterArrangeOrder,
+                                            FloatAB,
+                                            FloatAB,
+                                            decltype(b_grid_desc_k0_n_k1),
+                                            decltype(b_block_desc_k0_n_k1),
+                                            BBlockTransferSrcAccessOrder,
+                                            Sequence<1, 0, 2>,
+                                            BBlockTransferSrcVectorDim,
+                                            2,
+                                            BBlockTransferSrcScalarPerVector,
+                                            BBlockTransferDstScalarPerVector_K1,
+                                            1,
+                                            1,
+                                            BThreadTransferSrcResetCoordinateAfterRun,
+                                            true>(b_grid_desc_k0_n_k1,
+                                                  make_multi_index(0, n_block_data_idx_on_grid, 0),
+                                                  b_block_desc_k0_n_k1,
+                                                  make_multi_index(0, 0, 0),
+                                                  b_element_op);
+
+        // GEMM definition
+        //   c_mtx += transpose(a_mtx) * b_mtx
+        //     a_mtx[K0PerBlock, MPerBlock] is in LDS
+        //     b_mtx[K0PerBlock, NPerBlock] is in LDS
+        //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
+        //       register
+        // sanity check
+
+        auto blockwise_gemm =
+            BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,
+                                                                FloatAB,
+                                                                FloatAcc,
+                                                                decltype(a_block_desc_k0_m_k1),
+                                                                decltype(b_block_desc_k0_n_k1),
+                                                                MPerXDL,
+                                                                NPerXDL,
+                                                                MRepeat,
+                                                                NRepeat,
+                                                                K1>{};
+
+        auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
+
+        // LDS allocation for A and B: be careful of alignment
+        constexpr auto a_block_space_size =
+            math::integer_least_multiple(a_block_desc_k0_m_k1.GetElementSpaceSize(), max_lds_align);
+
+        FloatAB* p_a_block = p_shared_block;
+        FloatAB* p_b_block = p_shared_block + a_block_space_size;
+
+        constexpr auto a_block_slice_copy_step = make_multi_index(K0PerBlock, 0, 0);
+        constexpr auto b_block_slice_copy_step = make_multi_index(K0PerBlock, 0, 0);
+
+        // hack to control index calculation when iterating over A and B matrix for threadwise copy
+        constexpr auto a_k0_m_k1_grid_step_hacks = AGridStepHacks{};
+        constexpr auto b_k0_n_k1_grid_step_hacks = BGridStepHacks{};
+
+        // hack to control index calculation when move slice window for A and B matrix for
+        // threadwise copy
+        constexpr auto a_k0_m_k1_grid_move_slice_window_step_hack = AGridMoveSliceWindowStepHacks{};
+        constexpr auto b_k0_n_k1_grid_move_slice_window_step_hack = BGridMoveSliceWindowStepHacks{};
+
+        auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum_t::Lds>(
+            p_a_block, a_block_desc_k0_m_k1.GetElementSpaceSize());
+        auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum_t::Lds>(
+            p_b_block, b_block_desc_k0_n_k1.GetElementSpaceSize());
+
+        // preload data into LDS
+        {
+            a_blockwise_copy.RunRead(a_grid_desc_k0_m_k1, a_grid_buf, a_k0_m_k1_grid_step_hacks);
+            b_blockwise_copy.RunRead(b_grid_desc_k0_n_k1, b_grid_buf, b_k0_n_k1_grid_step_hacks);
+
+            a_blockwise_copy.RunWrite(a_block_desc_k0_m_k1, a_block_buf);
+            b_blockwise_copy.RunWrite(b_block_desc_k0_n_k1, b_block_buf);
+        }
+
+        // main body
+        index_t k0_block_data_begin = 0;
+
+        if constexpr(HasMainKBlockLoop)
+        {
+            do
+            {
+                a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc_k0_m_k1,
+                                                    a_block_slice_copy_step,
+                                                    a_k0_m_k1_grid_move_slice_window_step_hack);
+                b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc_k0_n_k1,
+                                                    b_block_slice_copy_step,
+                                                    b_k0_n_k1_grid_move_slice_window_step_hack);
+
+                a_blockwise_copy.RunRead(
+                    a_grid_desc_k0_m_k1, a_grid_buf, a_k0_m_k1_grid_step_hacks);
+
+                block_sync_lds();
+
+                b_blockwise_copy.RunRead(
+                    b_grid_desc_k0_n_k1, b_grid_buf, b_k0_n_k1_grid_step_hacks);
+
+                blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
+
+                block_sync_lds();
+
+                a_blockwise_copy.RunWrite(a_block_desc_k0_m_k1, a_block_buf);
+                b_blockwise_copy.RunWrite(b_block_desc_k0_n_k1, b_block_buf);
+
+                k0_block_data_begin += K0PerBlock;
+            } while(k0_block_data_begin < (K0 - K0PerBlock));
+        }
+
+        // tail
+        {
+            block_sync_lds();
+
+            blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
+        }
+
+        // output: register to global memory
+        {
+            constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2 =
+                blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
+
+            constexpr auto M0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I0);
+            constexpr auto N0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I1);
+            constexpr auto M1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I2);
+            constexpr auto N1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I3);
+            constexpr auto M2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I4);
+            constexpr auto M3 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I5);
+            constexpr auto M4 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I6);
+            constexpr auto N2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2.GetLength(I7);
+
+            constexpr auto c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2 =
+                make_naive_tensor_descriptor_packed(make_tuple(
+                    Number<M0>{}, Number<N0>{}, I1, I1, Number<M2>{}, I1, Number<M4>{}, I1));
+
+            // calculate origin of thread output tensor on global memory
+            //     blockwise GEMM c matrix starting index
+            const auto c_thread_mtx_on_block =
+                blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
+
+            const index_t m_thread_data_on_grid =
+                m_block_data_idx_on_grid + c_thread_mtx_on_block[I0];
+
+            const index_t n_thread_data_on_grid =
+                n_block_data_idx_on_grid + c_thread_mtx_on_block[I1];
+
+            constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks = CGridStepHacks{};
+
+            const auto m_thread_data_on_grid_to_m0_m1_m2_m3_m4_adaptor =
+                make_single_stage_tensor_adaptor(
+                    make_tuple(make_merge_transform(make_tuple(M0, M1, M2, M3, M4))),
+                    make_tuple(Sequence<0, 1, 2, 3, 4>{}),
+                    make_tuple(Sequence<0>{}));
+
+            const auto m_thread_data_on_grid_idx =
+                m_thread_data_on_grid_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
+                    make_multi_index(m_thread_data_on_grid));
+
+            const auto n_thread_data_on_grid_to_n0_n1_n2_adaptor = make_single_stage_tensor_adaptor(
+                make_tuple(make_merge_transform(make_tuple(N0, N1, N2))),
+                make_tuple(Sequence<0, 1, 2>{}),
+                make_tuple(Sequence<0>{}));
+
+            const auto n_thread_data_on_grid_idx =
+                n_thread_data_on_grid_to_n0_n1_n2_adaptor.CalculateBottomIndex(
+                    make_multi_index(n_thread_data_on_grid));
+
+            auto c_thread_copy =
+                ThreadwiseTensorSliceTransfer_v1r4<FloatAcc,
+                                                   FloatC,
+                                                   decltype(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                                                   decltype(c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                                                   decltype(c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                                                   decltype(c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                                                   CElementwiseOperation,
+                                                   Sequence<M0, N0, I1, I1, M2, I1, M4, I1>,
+                                                   CThreadTransferSrcDstAccessOrder,
+                                                   CThreadTransferSrcDstVectorDim,
+                                                   CThreadTransferDstScalarPerVector,
+                                                   CGlobalMemoryDataOperation,
+                                                   1,
+                                                   true>{
+                    c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                    c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                    c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                    make_multi_index(m_thread_data_on_grid_idx[I0],
+                                     n_thread_data_on_grid_idx[I0],
+                                     m_thread_data_on_grid_idx[I1],
+                                     n_thread_data_on_grid_idx[I1],
+                                     m_thread_data_on_grid_idx[I2],
+                                     m_thread_data_on_grid_idx[I3],
+                                     m_thread_data_on_grid_idx[I4],
+                                     n_thread_data_on_grid_idx[I2]),
+                    c_element_op};
+
+            c_thread_copy.Run(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                              make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
+                              c_thread_buf,
+                              c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                              c_grid_buf,
+                              c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks,
+                              c0_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                              c0_grid_buf,
+                              c1_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                              c1_grid_buf);
+        }
+    }
+}; // namespace ck
+
+} // namespace ck
+#endif

composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer.hpp

@@ -50,6 +50,7 @@ template <typename SrcData,
           typename DstData,
           typename SrcDesc,
           typename DstDesc,
+          typename DstElementwiseOperation,
           typename SliceLengths,
           typename DimAccessOrder,
           index_t DstVectorDim,
@@ -68,9 +69,12 @@ struct ThreadwiseTensorSliceTransfer_v1r3
 
     using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
 
-    __device__ constexpr ThreadwiseTensorSliceTransfer_v1r3(const DstDesc& dst_desc,
-                                                            const Index& dst_slice_origin_idx)
-        : dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin_idx))
+    __device__ constexpr ThreadwiseTensorSliceTransfer_v1r3(
+        const DstDesc& dst_desc,
+        const Index& dst_slice_origin_idx,
+        const DstElementwiseOperation& dst_element_op)
+        : dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin_idx)),
+          dst_element_op_{dst_element_op}
     {
         static_assert(SrcDesc::IsKnownAtCompileTime(),
                       "wrong! SrcDesc need to known at compile-time");
@@ -195,8 +199,9 @@ struct ThreadwiseTensorSliceTransfer_v1r3
                 constexpr index_t src_offset = src_desc.CalculateOffset(
                     src_slice_origin_idx + dst_data_idx + i * dst_scalar_step_in_vector);
 
+                // apply element-wise operation and type convert
                 dst_vector.template AsType<DstData>()(i) =
-                    type_convert<DstData>(src_buf[Number<src_offset>{}]);
+                    type_convert<DstData>(dst_element_op_(src_buf[Number<src_offset>{}]));
             });
 
             const bool is_dst_valid =
@@ -373,6 +378,7 @@ struct ThreadwiseTensorSliceTransfer_v1r3
 
     private:
     DstCoord dst_coord_;
+    const DstElementwiseOperation dst_element_op_;
 }; // namespace ck
 
 // Assume:

composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v1r4.hpp

+#ifndef CK_THREADWISE_TENSOR_SLICE_TRANSFER_V1R4_HPP
+#define CK_THREADWISE_TENSOR_SLICE_TRANSFER_V1R4_HPP
+
+#include "common_header.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
+
+namespace ck {
+
+// Do following things to avoid "alloca" in LLVM-IR, which would cause scratch memory
+// and sometimes useless instructions:
+//   1. Don't save a reference to tensor descriptor in class, pass in tensor descriptor as argument
+//   instead
+//   2. Don't construct a new tensor coordinate everytime when using it, update and reuse the same
+//   tensor coordinate instead
+//   3. Don't use a pointer to VGPR buffer, use vector instead
+
+// WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+// TODO: fix this
+// Assume:
+//   1. src:
+//     1. SrcDesc is known at compile-time
+//     2. SrcBuffer is StaticBuffer
+//     3. SrcSliceOrginIdx is known at compile-time
+//   2. dst:
+//     1. DstDesc is not known at compile-time
+//     2. DstBuffer is DynamicBuffer
+//     3. DstSliceOrginIdx is not known at compile time
+template <typename SrcData,
+          typename DstData,
+          typename SrcDesc,
+          typename DstDesc,
+          typename Dst0Desc, // this is really one of sources, but it has same shape as DstDesc
+          typename Dst1Desc, // this is really one of sources, but it has same shape as DstDesc
+          typename DstElementwiseOperation,
+          typename SliceLengths,
+          typename DimAccessOrder,
+          index_t DstVectorDim,
+          index_t DstScalarPerVector,
+          InMemoryDataOperationEnum_t DstInMemOp,
+          index_t DstScalarStrideInVector,
+          bool DstResetCoordinateAfterRun,
+          typename enable_if<SrcDesc::IsKnownAtCompileTime(), bool>::type = false>
+struct ThreadwiseTensorSliceTransfer_v1r4
+{
+    static constexpr index_t nDim = SliceLengths::Size();
+
+    using Index = MultiIndex<nDim>;
+
+    using DstCoord  = decltype(make_tensor_coordinate(DstDesc{}, Index{}));
+    using Dst0Coord = decltype(make_tensor_coordinate(Dst0Desc{}, Index{}));
+    using Dst1Coord = decltype(make_tensor_coordinate(Dst1Desc{}, Index{}));
+
+    using DstCoordStep  = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
+    using Dst0CoordStep = decltype(make_tensor_coordinate_step(Dst0Desc{}, Index{}));
+    using Dst1CoordStep = decltype(make_tensor_coordinate_step(Dst1Desc{}, Index{}));
+
+    __device__ constexpr ThreadwiseTensorSliceTransfer_v1r4(
+        const DstDesc& dst_desc,
+        const Dst0Desc& dst0_desc,
+        const Dst1Desc& dst1_desc,
+        const Index& dst_slice_origin_idx,
+        const DstElementwiseOperation& dst_element_op)
+        : dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin_idx)),
+          dst0_coord_(make_tensor_coordinate(dst0_desc, dst_slice_origin_idx)),
+          dst1_coord_(make_tensor_coordinate(dst1_desc, dst_slice_origin_idx)),
+          dst_element_op_{dst_element_op}
+    {
+        static_assert(SrcDesc::IsKnownAtCompileTime(),
+                      "wrong! SrcDesc need to known at compile-time");
+    }
+
+    __device__ void SetDstSliceOrigin(const DstDesc& dst_desc, const Index& dst_slice_origin_idx)
+    {
+        dst_coord_ = make_tensor_coordinate(dst_desc, dst_slice_origin_idx);
+    }
+
+    template <typename SrcSliceOriginIdx,
+              typename SrcBuffer,
+              typename DstBuffer,
+              typename Dst0Buffer,
+              typename Dst1Buffer,
+              typename DstStepHacks,
+              typename Dst0StepHacks,
+              typename Dst1StepHacks>
+    __device__ void Run(const SrcDesc&,
+                        const SrcSliceOriginIdx&,
+                        const SrcBuffer& src_buf,
+                        const DstDesc& dst_desc,
+                        DstBuffer& dst_buf,
+                        const DstStepHacks& dst_step_hacks,
+                        const Dst0Desc& dst0_desc,
+                        const Dst0Buffer& dst0_buf,
+                        const Dst0StepHacks& dst0_step_hacks,
+                        const Dst1Desc& dst1_desc,
+                        const Dst1Buffer& dst1_buf,
+                        const Dst1StepHacks& dst1_step_hacks)
+    {
+        static_assert(SrcDesc::IsKnownAtCompileTime(),
+                      "wrong! SrcDesc need to known at compile-time");
+
+        static_assert(is_known_at_compile_time<remove_cvref_t<SrcSliceOriginIdx>>::value,
+                      "wrong! SrcSliceOrigin need to known at compile-time");
+
+        static_assert(SrcBuffer::IsStaticBuffer(), "wrong! SrcBuffer need to be StaticBuffer");
+
+        // SrcDesc and src_slice_origin_idx are known at compile-time
+        constexpr auto src_desc             = remove_cvref_t<SrcDesc>{};
+        constexpr auto src_slice_origin_idx = to_multi_index(SrcSliceOriginIdx{});
+
+        constexpr auto I0 = Number<0>{};
+        constexpr auto I1 = Number<1>{};
+
+        // scalar per access on each dim
+        // TODO: don't use lambda_scalar_per_access
+        constexpr auto dst_scalar_per_access = generate_sequence(
+            detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{});
+
+        constexpr auto dst_scalar_step_in_vector =
+            generate_sequence(detail::lambda_scalar_step_in_vector<DstVectorDim>{}, Number<nDim>{});
+
+        constexpr auto access_lengths = SliceLengths{} / dst_scalar_per_access;
+
+        constexpr auto dim_access_order = DimAccessOrder{};
+
+        constexpr auto ordered_access_lengths =
+            container_reorder_given_new2old(access_lengths, dim_access_order);
+
+        // make forward steps: dst
+        const auto dst_forward_steps = generate_tuple(
+            [&](auto i) {
+                Index forward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    forward_step_idx(j) = (i.value == j.value) ? dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst_desc, forward_step_idx, dst_step_hacks[I0][i]);
+            },
+            Number<nDim>{});
+
+        // make forward steps: dst0
+        // WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+        // TODO: fix this
+        const auto dst0_forward_steps = generate_tuple(
+            [&](auto i) {
+                Index forward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    forward_step_idx(j) = (i.value == j.value) ? dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst0_desc, forward_step_idx, dst0_step_hacks[I0][i]);
+            },
+            Number<nDim>{});
+
+        // make forward steps: dst1
+        // WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+        // TODO: fix this
+        const auto dst1_forward_steps = generate_tuple(
+            [&](auto i) {
+                Index forward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    forward_step_idx(j) = (i.value == j.value) ? dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst1_desc, forward_step_idx, dst1_step_hacks[I0][i]);
+            },
+            Number<nDim>{});
+
+        // make backward steps: dst
+        const auto dst_backward_steps = generate_tuple(
+            [&](auto i) {
+                Index backward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    backward_step_idx(j) = (i.value == j.value) ? -dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst_desc, backward_step_idx, dst_step_hacks[I1][i]);
+            },
+            Number<nDim>{});
+
+        // make backward steps: dst0
+        // WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+        // TODO: fix this
+        const auto dst0_backward_steps = generate_tuple(
+            [&](auto i) {
+                Index backward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    backward_step_idx(j) = (i.value == j.value) ? -dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst0_desc, backward_step_idx, dst0_step_hacks[I1][i]);
+            },
+            Number<nDim>{});
+
+        // make backward steps: dst1
+        // WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+        // TODO: fix this
+        const auto dst1_backward_steps = generate_tuple(
+            [&](auto i) {
+                Index backward_step_idx;
+
+                static_for<0, nDim, 1>{}([&](auto j) {
+                    backward_step_idx(j) = (i.value == j.value) ? -dst_scalar_per_access[i] : 0;
+                });
+
+                return make_tensor_coordinate_step(
+                    dst1_desc, backward_step_idx, dst1_step_hacks[I1][i]);
+            },
+            Number<nDim>{});
+
+        // loop over tensor and copy
+        static_ford<decltype(ordered_access_lengths)>{}([&](auto ordered_access_idx) {
+            // judge move forward or move backward
+            constexpr auto forward_sweep = [&]() {
+                StaticallyIndexedArray<bool, nDim> forward_sweep_;
+
+                forward_sweep_(I0) = true;
+
+                static_for<1, nDim, 1>{}([&](auto i) {
+                    index_t tmp = ordered_access_idx[I0];
+
+                    static_for<0, i, 1>{}([&](auto j) {
+                        tmp = tmp * ordered_access_lengths[j] + ordered_access_idx[j];
+                    });
+
+                    forward_sweep_(i) = tmp % 2 == 0;
+                });
+
+                return forward_sweep_;
+            }();
+
+            // calculate dst data index
+            constexpr auto dst_data_idx = [&]() {
+                Index ordered_idx;
+
+                static_for<0, nDim, 1>{}([&](auto i) {
+                    ordered_idx(i) = forward_sweep[i]
+                                         ? ordered_access_idx[i]
+                                         : ordered_access_lengths[i] - 1 - ordered_access_idx[i];
+                });
+
+                return container_reorder_given_old2new(ordered_idx, dim_access_order) *
+                       dst_scalar_per_access;
+            }();
+
+            typename vector_type_maker<DstData, DstScalarPerVector>::type dst_vector;
+
+            using dst_vector_t =
+                typename vector_type_maker<DstData, DstScalarPerVector>::type::type;
+
+            // load dst0 and dst1 and apply elementwise operation
+            {
+                // WARNING!!!!!!: this logic is only correct if DstScalarPerVector=1
+                // TODO: fix this
+                static_assert(DstScalarPerVector == 1, "wrong!");
+
+                // copy data from src_buf into dst_vector_src_data
+                constexpr index_t src_offset =
+                    src_desc.CalculateOffset(src_slice_origin_idx + dst_data_idx);
+
+                const SrcData src_v = src_buf[Number<src_offset>{}];
+
+                // load dst0 and dst1
+                const bool is_dst0_valid =
+                    coordinate_has_valid_offset_assuming_visible_index_is_valid(dst0_desc,
+                                                                                dst0_coord_);
+                const bool is_dst1_valid =
+                    coordinate_has_valid_offset_assuming_visible_index_is_valid(dst1_desc,
+                                                                                dst1_coord_);
+
+                const DstData dst0_v =
+                    dst0_buf.template Get<DstData>(dst0_coord_.GetOffset(), is_dst0_valid);
+                const DstData dst1_v =
+                    dst1_buf.template Get<DstData>(dst1_coord_.GetOffset(), is_dst1_valid);
+
+#if !CK_WORKAROUND_SWDEV_XXXXXX_THREAD_WISE_COPY_V1R4_TYPE_CONVERT_ISSUE
+                // apply element-wise operation in SrcData type
+                const SrcData dst_v = dst_element_op_(
+                    src_v, type_convert<SrcData>(dst0_v), type_convert<SrcData>(dst1_v));
+
+                // apply type convert
+                dst_vector.template AsType<DstData>()(Number<0>{}) = type_convert<DstData>(dst_v);
+#else
+                // apply element-wise operation in DstData type
+                const DstData dst_v = dst_element_op_(src_v, dst0_v, dst1_v);
+
+                dst_vector.template AsType<DstData>()(Number<0>{}) = dst_v;
+#endif
+            }
+
+            const bool is_dst_valid =
+                coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_);
+
+            // copy data from dst_vector into dst_buf
+            if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set)
+            {
+                dst_buf.template Set<dst_vector_t>(
+                    dst_coord_.GetOffset(),
+                    is_dst_valid,
+                    dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
+            }
+            else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::AtomicAdd)
+            {
+                dst_buf.template AtomicAdd<dst_vector_t>(
+                    dst_coord_.GetOffset(),
+                    is_dst_valid,
+                    dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
+            }
+            else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Add)
+            {
+
+                typename vector_type_maker<DstData, DstScalarPerVector>::type tmp;
+                tmp.template AsType<dst_vector_t>()(Number<0>{}) =
+                    dst_buf.template Get<dst_vector_t>(dst_coord_.GetOffset(), is_dst_valid);
+
+                static_for<0, DstScalarPerVector, 1>{}([&](auto t) {
+                    dst_vector.template AsType<DstData>()(t) += tmp.template AsType<DstData>()[t];
+                });
+
+                dst_buf.template Set<dst_vector_t>(
+                    dst_coord_.GetOffset(),
+                    is_dst_valid,
+                    dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
+            }
+
+            constexpr auto move_on_dim = [&]() constexpr
+            {
+                StaticallyIndexedArray<bool, nDim> move_on_dim_;
+
+                static_for<0, nDim, 1>{}([&](auto i) {
+                    move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
+
+                    static_for<i + 1, nDim, 1>{}([&](auto j) {
+                        move_on_dim_(i) &= ordered_access_idx[j] == ordered_access_lengths[j] - 1;
+                    });
+                });
+
+                return move_on_dim_;
+            }
+            ();
+
+            // move
+            static_for<0, nDim, 1>{}([&](auto i) {
+                if constexpr(move_on_dim[i])
+                {
+                    if constexpr(forward_sweep[i])
+                    {
+                        move_tensor_coordinate(
+                            dst_desc, dst_coord_, dst_forward_steps[dim_access_order[i]]);
+
+                        // dst0
+                        move_tensor_coordinate(
+                            dst0_desc, dst0_coord_, dst0_forward_steps[dim_access_order[i]]);
+
+                        // dst1
+                        move_tensor_coordinate(
+                            dst1_desc, dst1_coord_, dst1_forward_steps[dim_access_order[i]]);
+                    }
+                    else
+                    {
+                        move_tensor_coordinate(
+                            dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]);
+
+                        // dst0
+                        move_tensor_coordinate(
+                            dst0_desc, dst0_coord_, dst0_backward_steps[dim_access_order[i]]);
+
+                        // dst1
+                        move_tensor_coordinate(
+                            dst1_desc, dst1_coord_, dst1_backward_steps[dim_access_order[i]]);
+                    }
+                }
+            });
+        });
+
+        // move dst coordinate back to slice origin (or not)
+        if constexpr(DstResetCoordinateAfterRun)
+        {
+            const auto dst_reset_step =
+                make_tensor_coordinate_step(dst_desc, GetDstCoordinateResetStep());
+
+            move_tensor_coordinate(dst_desc, dst_coord_, dst_reset_step);
+        }
+    }
+
+    template <typename SrcSliceOriginIdx,
+              typename SrcBuffer,
+              typename DstBuffer,
+              typename Dst0Buffer,
+              typename Dst1Buffer,
+              typename DstStepHacks>
+    __device__ void Run(const SrcDesc&,
+                        const SrcSliceOriginIdx&,
+                        const SrcBuffer& src_buf,
+                        const DstDesc& dst_desc,
+                        DstBuffer& dst_buf,
+                        const DstStepHacks& dst_step_hacks,
+                        const Dst0Desc& dst0_desc,
+                        const Dst0Buffer& dst0_buf,
+                        const Dst1Desc& dst1_desc,
+                        const Dst1Buffer& dst1_buf)
+    {
+        auto f_step_hacks = [&](auto desc) {
+            constexpr index_t ntransform = decltype(desc)::GetNumOfTransform();
+
+            constexpr auto zeros = typename uniform_sequence_gen<ntransform, 0>::type{};
+
+            constexpr auto step_hacks =
+                make_tuple(generate_tuple([&](auto) { return zeros; }, Number<nDim>{}),
+                           generate_tuple([&](auto) { return zeros; }, Number<nDim>{}));
+
+            return step_hacks;
+        };
+
+        Run(SrcDesc{},
+            SrcSliceOriginIdx{},
+            src_buf,
+            dst_desc,
+            dst_buf,
+            dst_step_hacks,
+            dst0_desc,
+            dst0_buf,
+            f_step_hacks(dst0_desc),
+            dst1_desc,
+            dst1_buf,
+            f_step_hacks(dst1_desc));
+    }
+
+    __device__ static constexpr auto GetDstCoordinateResetStep()
+    {
+        constexpr auto I0 = Number<0>{};
+
+        // scalar per access on each dim
+        // TODO: don't use lambda_scalar_per_access
+        constexpr auto dst_scalar_per_access = generate_sequence(
+            detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{});
+
+        constexpr auto access_lengths = SliceLengths{} / dst_scalar_per_access;
+
+        constexpr auto dim_access_order = DimAccessOrder{};
+
+        constexpr auto ordered_access_lengths =
+            container_reorder_given_new2old(access_lengths, dim_access_order);
+
+        // judge move forward or move backward during the last iteration
+        constexpr auto forward_sweep = [&]() {
+            StaticallyIndexedArray<bool, nDim> forward_sweep_;
+
+            forward_sweep_(I0) = true;
+
+            static_for<1, nDim, 1>{}([&](auto i) {
+                index_t tmp = ordered_access_lengths[I0] - 1;
+
+                static_for<0, i, 1>{}([&](auto j) {
+                    tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1;
+                });
+
+                forward_sweep_(i) = tmp % 2 == 0;
+            });
+
+            return forward_sweep_;
+        }();
+
+        // calculate dst data index after last iteration in Run(), if it has not being reset by
+        // RunWrite()
+        constexpr auto dst_data_idx = [&]() {
+            Index ordered_idx;
+
+            static_for<0, nDim, 1>{}([&](auto i) {
+                ordered_idx(i) = forward_sweep[i] ? ordered_access_lengths[i] - 1 : 0;
+            });
+
+            return container_reorder_given_old2new(ordered_idx, dim_access_order) *
+                   dst_scalar_per_access;
+        }();
+
+        //
+        constexpr auto reset_dst_data_step = [&]() {
+            Index reset_dst_data_step_;
+
+            static_for<0, nDim, 1>{}([&](auto i) { reset_dst_data_step_(i) = -dst_data_idx[i]; });
+
+            return reset_dst_data_step_;
+        }();
+
+        return reset_dst_data_step;
+    }
+
+    // dst_slice_origin_step_idx need to be known at compile-time, for performance reason
+    __device__ void MoveDstSliceWindow(const DstDesc& dst_desc,
+                                       const Index& dst_slice_origin_step_idx)
+    {
+        // if dst coord was not reset by Run(), then need to adjust the step here
+        const auto adjusted_step_idx =
+            DstResetCoordinateAfterRun ? dst_slice_origin_step_idx
+                                       : dst_slice_origin_step_idx + GetDstCoordinateResetStep();
+
+        // is it OK to construct a new step every time?
+        const auto adjusted_step = make_tensor_coordinate_step(dst_desc, adjusted_step_idx);
+
+        move_tensor_coordinate(dst_desc, dst_coord_, adjusted_step);
+    }
+
+    private:
+    DstCoord dst_coord_;
+    Dst0Coord dst0_coord_;
+    Dst1Coord dst1_coord_;
+    const DstElementwiseOperation dst_element_op_;
+}; // namespace ck
+
+} // namespace ck
+#endif

composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v3r2.hpp

@@ -46,6 +46,7 @@ struct lambda_scalar_per_access_for_src_and_dst
 //   3. src_slice_origin and dst_slice_origin are not known at compile-time,
 //   4. Use thread buffer
 template <typename SliceLengths,
+          typename SrcElementwiseOperation,
           InMemoryDataOperationEnum_t DstInMemOp,
           typename SrcData,
           typename DstData,
@@ -76,12 +77,15 @@ struct ThreadwiseTensorSliceTransfer_v3r2
     using SrcCoordStep = decltype(make_tensor_coordinate_step(SrcDesc{}, Index{}));
     using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
 
-    __device__ constexpr ThreadwiseTensorSliceTransfer_v3r2(const SrcDesc& src_desc,
-                                                            const Index& src_slice_origin,
-                                                            const DstDesc& dst_desc,
-                                                            const Index& dst_slice_origin)
+    __device__ constexpr ThreadwiseTensorSliceTransfer_v3r2(
+        const SrcDesc& src_desc,
+        const Index& src_slice_origin,
+        const DstDesc& dst_desc,
+        const Index& dst_slice_origin,
+        const SrcElementwiseOperation& src_element_op)
         : src_coord_(make_tensor_coordinate(src_desc, src_slice_origin)),
-          dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin))
+          dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin)),
+          src_element_op_(src_element_op)
     {
     }
 
@@ -191,12 +195,22 @@ struct ThreadwiseTensorSliceTransfer_v3r2
             const bool is_src_valid =
                 coordinate_has_valid_offset_assuming_visible_index_is_valid(src_desc, src_coord_);
 
-            using src_vector_t = typename vector_type_maker_t<SrcData, SrcScalarPerVector>::type;
+            using src_vector_type = vector_type_maker_t<SrcData, SrcScalarPerVector>;
+            using src_vector_t    = typename src_vector_type::type;
 
-            // copy data from src_buf to src_thread_scratch_
+            // copy data from src_buf into src_vector_container
+            auto src_vector_container = src_vector_type{
+                src_buf.template Get<src_vector_t>(src_coord_.GetOffset(), is_src_valid)};
+
+            // apply SrcElementwiseOperation on src_vector_container
+            static_for<0, SrcScalarPerVector, 1>{}([&](auto i) {
+                src_vector_container.template AsType<SrcData>()(i) =
+                    src_element_op_(src_vector_container.template AsType<SrcData>()[i]);
+            });
+
+            // copy data from src_vector_container into src_thread_scratch_
             src_thread_scratch_.template SetAsType<src_vector_t>(
-                src_data_idx_seq,
-                src_buf.template Get<src_vector_t>(src_coord_.GetOffset(), is_src_valid));
+                src_data_idx_seq, src_vector_container.template AsType<src_vector_t>()[I0]);
 
             constexpr auto move_on_dim = [&]() constexpr
             {
@@ -796,6 +810,7 @@ struct ThreadwiseTensorSliceTransfer_v3r2
 
     SrcCoord src_coord_;
     DstCoord dst_coord_;
+    const SrcElementwiseOperation src_element_op_;
 };
 
 } // namespace ck

composable_kernel/include/utility/config.hpp

@@ -136,6 +136,11 @@
 #define CK_WORKAROUND_SWDEV_XXXXXX_INT8_DS_WRITE_ISSUE 1
 #endif
 
+// workaround for register spill due to compiler issue, when casting type between fp32 and fp16
+#ifndef CK_WORKAROUND_SWDEV_XXXXXX_THREAD_WISE_COPY_V1R4_TYPE_CONVERT_ISSUE
+#define CK_WORKAROUND_SWDEV_XXXXXX_THREAD_WISE_COPY_V1R4_TYPE_CONVERT_ISSUE 1
+#endif
+
 namespace ck {
 
 enum InMemoryDataOperationEnum_t

device_operation/device_conv_xdl_instance_f16_f16_f16_nhwc_kyxc_nhwk.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_conv_fwd_xdl_nhwc_kyxc_nhwk.hpp"
 #include "device_conv_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -18,32 +19,34 @@ using NHWK = ck::tensor_layout::convolution::NHWK;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for in[n, hi, wi, c] * wei[k, y, x, c] = out[n, ho, wo, k]
 using device_conv_fwd_xdl_instances_f16_f16_f16_nhwc_kyxc_nhwk = std::tuple<
     // clang-format off
-        //##############|    NDim| InData| WeiData| OutData| AccData|     In|    Wei|    Out| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##############| Spatial|   Type|    Type|    Type|    Type| Layout| Layout| Layout|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##############|        |       |        |        |        |       |       |       |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##############|        |       |        |        |        |       |       |       |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,    64,    64,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   128,   128,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,   128,    32,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,    64,    64,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK,    64,    32,    64,     4,  8,   32,   32,    1,    2,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
+        //##############|    NDim| InData| WeiData| OutData| AccData|     In|    Wei|    Out|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##############| Spatial|   Type|    Type|    Type|    Type| Layout| Layout| Layout| Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##############|        |       |        |        |        |       |       |       |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##############|        |       |        |        |        |       |       |       |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    64,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,    32,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    64,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F16,     F16,     F16,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    32,    64,     4,  8,   32,   32,    1,    2,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_conv_fwd_instance<2, F16, F16, F16, NHWC, KYXC, NHWK>(
-    std::vector<DeviceConvFwdPtr>& device_conv_instances)
+    std::vector<DeviceConvFwdPtr<PassThrough, PassThrough, PassThrough>>& device_conv_instances)
 {
     using DeviceConvs = device_conv_fwd_xdl_instances_f16_f16_f16_nhwc_kyxc_nhwk;
 

device_operation/device_conv_xdl_instance_f32_f32_f32_nhwc_kyxc_nhwk.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_conv_fwd_xdl_nhwc_kyxc_nhwk.hpp"
 #include "device_conv_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -18,32 +19,34 @@ using NHWK = ck::tensor_layout::convolution::NHWK;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for in[n, hi, wi, c] * wei[k, y, x, c] = out[n, ho, wo, k]
 using device_conv_fwd_xdl_instances_f32_f32_f32_nhwc_kyxc_nhwk = std::tuple<
     // clang-format off
-        //##############|    NDim| InData| WeiData| OutData| AccData|     In|    Wei|    Out| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##############| Spatial|   Type|    Type|    Type|    Type| Layout| Layout| Layout|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##############|        |       |        |        |        |       |       |       |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##############|        |       |        |        |        |       |       |       |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,    64,    64,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   128,   128,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,   128,    32,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,    64,    64,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK,    64,    32,    64,     4,  4,   32,   32,    1,    2,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
+        //##############|    NDim| InData| WeiData| OutData| AccData|     In|    Wei|    Out|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##############| Spatial|   Type|    Type|    Type|    Type| Layout| Layout| Layout| Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##############|        |       |        |        |        |       |       |       |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##############|        |       |        |        |        |       |       |       |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    64,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,   128,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,   128,    32,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    64,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceConvFwdXdl<       2,    F32,     F32,     F32,     F32,   NHWC,   KYXC,   NHWK, PassThrough, PassThrough, PassThrough,    64,    32,    64,     4,  4,   32,   32,    1,    2,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_conv_fwd_instance<2, F32, F32, F32, NHWC, KYXC, NHWK>(
-    std::vector<DeviceConvFwdPtr>& device_conv_instances)
+    std::vector<DeviceConvFwdPtr<PassThrough, PassThrough, PassThrough>>& device_conv_instances)
 {
     using DeviceConvs = device_conv_fwd_xdl_instances_f32_f32_f32_nhwc_kyxc_nhwk;
 

device_operation/device_gemm_xdl_instance_f16_f16_f16_km_kn_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[k, m] * b[k, n] = c[m, n]
 using device_gemm_xdl_instance_f16_f16_f16_km_kn_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F16, F16, F16, Col, Row, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f16_f16_f16_km_kn_mn;
 

device_operation/device_gemm_xdl_instance_f16_f16_f16_km_nk_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[k, m] * b[n, k] = c[m, n]
 using device_gemm_xdl_instance_f16_f16_f16_km_nk_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Col,      Col,    Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F16, F16, F16, Col, Col, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f16_f16_f16_km_nk_mn;
 

device_operation/device_gemm_xdl_instance_f16_f16_f16_mk_kn_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[m, k] * b[k, n] = c[m, n]
 using device_gemm_xdl_instance_f16_f16_f16_mk_kn_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,      Row,    Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              8,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F16, F16, F16, Row, Row, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f16_f16_f16_mk_kn_mn;
 

device_operation/device_gemm_xdl_instance_f16_f16_f16_mk_nk_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,32 +18,34 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[m, k] * b[n, k] = c[m, n]
 using device_gemm_xdl_instance_f16_f16_f16_mk_nk_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,    64,    64,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   128,   128,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,   128,    32,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,    64,    64,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row,    64,    32,    64,     4,  8,   32,   32,    1,    2,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  8,   32,   32,    2,    4,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  8,   32,   32,    4,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  8,   32,   32,    2,    2,      S<1, 2, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    64,    64,     4,  8,   32,   32,    2,    2,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  8,   32,   32,    2,    1,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,    32,   128,     4,  8,   32,   32,    1,    2,      S<1, 1, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    64,    32,     4,  8,   32,   32,    2,    1,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F16,   F16,   F16,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    32,    64,     4,  8,   32,   32,    1,    2,      S<1, 2, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              8,              8,      S<1, 4, 8>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              8,              8,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F16, F16, F16, Row, Col, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f16_f16_f16_mk_nk_mn;
 

device_operation/device_gemm_xdl_instance_f32_f32_f32_km_kn_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[k, m] * b[k, n] = c[m, n]
 using device_gemm_xdl_instance_f32_f32_f32_km_kn_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F32, F32, F32, Col, Row, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f32_f32_f32_km_kn_mn;
 

device_operation/device_gemm_xdl_instance_f32_f32_f32_km_nk_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[k, m] * b[n, k] = c[m, n]
 using device_gemm_xdl_instance_f32_f32_f32_km_nk_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              2,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Col,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,              1,              1,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F32, F32, F32, Col, Col, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f32_f32_f32_km_nk_mn;
 

device_operation/device_gemm_xdl_instance_f32_f32_f32_mk_kn_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,27 +18,29 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[m, k] * b[k, n] = c[m, n]
 using device_gemm_xdl_instance_f32_f32_f32_mk_kn_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              1,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Row,     Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<0, 2, 1>,     S<0, 2, 1>,             1,              2,              4,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F32, F32, F32, Row, Row, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f32_f32_f32_mk_kn_mn;
 

device_operation/device_gemm_xdl_instance_f32_f32_f32_mk_nk_mn.cpp

@@ -2,6 +2,7 @@
 #include "config.hpp"
 #include "device_gemm_xdl.hpp"
 #include "device_gemm_instance.hpp"
+#include "element_wise_operation.hpp"
 
 namespace ck {
 namespace tensor_operation {
@@ -17,32 +18,34 @@ using Col = ck::tensor_layout::gemm::ColumnMajor;
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
 
+using PassThrough = ck::tensor_operation::element_wise::PassThrough;
+
 // Compilation parameters for a[m, k] * b[n, k] = c[m, n]
 using device_gemm_xdl_instance_f32_f32_f32_mk_nk_mn = std::tuple<
     // clang-format off
-        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
-        //##########|  Type|  Type|  Type|    Type|        |        |        |  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
-        //##########|      |      |      |        |        |        |        |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,    64,    64,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   128,   128,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,   128,    32,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,    64,    64,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
-        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row,    64,    32,    64,     4,  4,   32,   32,    1,    2,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
+        //##########| AData| BData| CData| AccData| ALayout| BLayout| CLayout|           A|           B|           C| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|  ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer|  BBlockTransfer|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| CThreadTransfer| CThreadTransfer| ABlockLds| BBlockLds|
+        //##########|  Type|  Type|  Type|    Type|        |        |        | Elementwise| Elementwise| Elementwise|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar|     ThreadSlice|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| SrcDstVectorDim|       DstScalar| AddExtraM| AddExtraN|
+        //##########|      |      |      |        |        |        |        |   Operation|   Operation|   Operation|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_N_K1| Lengths_K0_M_K1|   ArrangeOrder|               |               |      PerVector|   PerVector_K1| Lengths_K0_N_K1| Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|                |       PerVector|          |          |
+        //##########|      |      |      |        |        |        |        |            |            |            |      |      |      |      |   |     |     |     |     |                |                |               |               |               |               |               |                |                |               |               |              |               |               |                |                |          |          |
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   256,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   256,     4,  4,   32,   32,    2,    4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,   128,     4,  4,   32,   32,    4,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,    64,   128,     4,  4,   32,   32,    2,    2,      S<1, 2, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    64,    64,     4,  4,   32,   32,    2,    2,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,   128,    64,     4,  4,   32,   32,    2,    1,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   256,    64,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 64, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,   128,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,   128,    32,   128,     4,  4,   32,   32,    1,    2,      S<1, 1, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 32, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    64,    32,     4,  4,   32,   32,    2,    1,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>,
+        DeviceGemmXdl<  F32,   F32,   F32,     F32,     Row,     Col,     Row, PassThrough, PassThrough, PassThrough,    64,    32,    64,     4,  4,   32,   32,    1,    2,      S<1, 2, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,              2,              4,              4,      S<1, 4, 4>,     S<4, 16, 1>,     S<1, 0, 2>,     S<1, 0, 2>,             2,              4,              4,               7,               1,      true,      true>
     // clang-format on
     >;
 
 template <>
 void add_device_gemm_instance<F32, F32, F32, Row, Col, Row>(
-    std::vector<DeviceGemmPtr>& device_op_instances)
+    std::vector<DeviceGemmPtr<PassThrough, PassThrough, PassThrough>>& device_op_instances)
 {
     using DeviceGemms = device_gemm_instance::device_gemm_xdl_instance_f32_f32_f32_mk_nk_mn;
 

device_operation/include/device_conv.hpp

@@ -8,6 +8,9 @@ namespace ck {
 namespace tensor_operation {
 namespace device {
 
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
 struct DeviceConvFwd : public BaseOperator
 {
     virtual std::unique_ptr<BaseArgument>
@@ -23,11 +26,17 @@ struct DeviceConvFwd : public BaseOperator
                         std::vector<ck::index_t> conv_filter_strides,
                         std::vector<ck::index_t> conv_filter_dilations,
                         std::vector<ck::index_t> input_left_pads,
-                        std::vector<ck::index_t> input_right_pads) = 0;
+                        std::vector<ck::index_t> input_right_pads,
+                        InElementwiseOperation in_element_op,
+                        WeiElementwiseOperation wei_element_op,
+                        OutElementwiseOperation out_element_op) = 0;
 
     virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
 };
 
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
 struct DeviceConvBwd : public BaseOperator
 {
     virtual std::unique_ptr<BaseArgument>
@@ -43,11 +52,17 @@ struct DeviceConvBwd : public BaseOperator
                         std::vector<ck::index_t> conv_filter_strides,
                         std::vector<ck::index_t> conv_filter_dilations,
                         std::vector<ck::index_t> input_left_pads,
-                        std::vector<ck::index_t> input_right_pads) = 0;
+                        std::vector<ck::index_t> input_right_pads,
+                        InElementwiseOperation in_element_op,
+                        WeiElementwiseOperation wei_element_op,
+                        OutElementwiseOperation out_element_op) = 0;
 
     virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
 };
 
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
 struct DeviceConvWrw : public BaseOperator
 {
     virtual std::unique_ptr<BaseArgument>
@@ -63,14 +78,31 @@ struct DeviceConvWrw : public BaseOperator
                         std::vector<ck::index_t> conv_filter_strides,
                         std::vector<ck::index_t> conv_filter_dilations,
                         std::vector<ck::index_t> input_left_pads,
-                        std::vector<ck::index_t> input_right_pads) = 0;
+                        std::vector<ck::index_t> input_right_pads,
+                        InElementwiseOperation in_element_op,
+                        WeiElementwiseOperation wei_element_op,
+                        OutElementwiseOperation out_element_op) = 0;
 
     virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
 };
 
-using DeviceConvFwdPtr = std::unique_ptr<DeviceConvFwd>;
-using DeviceConvBwdPtr = std::unique_ptr<DeviceConvBwd>;
-using DeviceConvWrwPtr = std::unique_ptr<DeviceConvWrw>;
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
+using DeviceConvFwdPtr = std::unique_ptr<
+    DeviceConvFwd<InElementwiseOperation, WeiElementwiseOperation, OutElementwiseOperation>>;
+
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
+using DeviceConvBwdPtr = std::unique_ptr<
+    DeviceConvBwd<InElementwiseOperation, WeiElementwiseOperation, OutElementwiseOperation>>;
+
+template <typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation>
+using DeviceConvWrwPtr = std::unique_ptr<
+    DeviceConvWrw<InElementwiseOperation, WeiElementwiseOperation, OutElementwiseOperation>>;
 
 } // namespace device
 } // namespace tensor_operation

device_operation/include/device_conv_fwd_xdl.hpp

@@ -23,6 +23,9 @@ template <ck::index_t NDimSpatial,
           typename InLayout,
           typename WeiLayout,
           typename OutLayout,
+          typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation,
           ck::index_t BlockSize,
           ck::index_t MPerBlock,
           ck::index_t NPerBlock,

device_operation/include/device_conv_fwd_xdl_nhwc_kyxc_nhwk.hpp

@@ -22,6 +22,9 @@ template <typename InDataType,
           typename WeiDataType,
           typename OutDataType,
           typename AccDataType,
+          typename InElementwiseOperation,
+          typename WeiElementwiseOperation,
+          typename OutElementwiseOperation,
           ck::index_t BlockSize,
           ck::index_t MPerBlock,
           ck::index_t NPerBlock,
@@ -58,6 +61,9 @@ struct DeviceConvFwdXdl<
     ck::tensor_layout::convolution::NHWC,     // typename InLayout,
     ck::tensor_layout::convolution::KYXC,     // typename WeiLayout,
     ck::tensor_layout::convolution::NHWK,     // typename OutLayout,
+    InElementwiseOperation,                   // typename InElementwiseOperation,
+    WeiElementwiseOperation,                  // typename WeiElementwiseOperation,
+    OutElementwiseOperation,                  // typename OutElementwiseOperation,
     BlockSize,                                // ck::index_t BlockSize,
     MPerBlock,                                // ck::index_t MPerBlock,
     NPerBlock,                                // ck::index_t NPerBlock,
@@ -87,7 +93,8 @@ struct DeviceConvFwdXdl<
     CThreadTransferDstScalarPerVector,          // ck::index_t CThreadTransferDstScalarPerVector,
     ABlockLdsAddExtraM,                         // bool ABlockLdsAddExtraM,
     BBlockLdsAddExtraN                          // bool BBlockLdsAddExtraN>
-    > : public DeviceConvFwd
+    >
+    : public DeviceConvFwd<InElementwiseOperation, WeiElementwiseOperation, OutElementwiseOperation>
 {
     using ADataType = InDataType;
     using BDataType = WeiDataType;
@@ -293,6 +300,9 @@ struct DeviceConvFwdXdl<
         AGridDesc_K0_M_K1,
         BGridDesc_K0_N_K1,
         CGridDesc_M_N,
+        InElementwiseOperation,
+        WeiElementwiseOperation,
+        OutElementwiseOperation,
         MPerBlock,
         NPerBlock,
         K0PerBlock,
@@ -351,7 +361,10 @@ struct DeviceConvFwdXdl<
                  std::vector<ck::index_t> input_left_pads,
                  std::vector<ck::index_t> input_right_pads,
                  ck::index_t M01,
-                 ck::index_t N01)
+                 ck::index_t N01,
+                 InElementwiseOperation in_element_op,
+                 WeiElementwiseOperation wei_element_op,
+                 OutElementwiseOperation out_element_op)
             : p_a_grid_{p_in_grid},
               p_b_grid_{p_wei_grid},
               p_c_grid_{p_out_grid},
@@ -361,7 +374,10 @@ struct DeviceConvFwdXdl<
               c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2_{},
               block_2_ctile_map_{},
               M01_{M01},
-              N01_{N01}
+              N01_{N01},
+              in_element_op_{in_element_op},
+              wei_element_op_{wei_element_op},
+              out_element_op_{out_element_op}
         {
             const auto descs = DeviceConvFwdXdl::MakeABCGridDescriptor_A_K0_M_K1_B_K0_N_K1_C_M_N(
                 N,
@@ -400,6 +416,9 @@ struct DeviceConvFwdXdl<
         Block2CTileMap block_2_ctile_map_;
         index_t M01_;
         index_t N01_;
+        InElementwiseOperation in_element_op_;
+        WeiElementwiseOperation wei_element_op_;
+        OutElementwiseOperation out_element_op_;
     };
 
     // Invoker
@@ -449,6 +468,9 @@ struct DeviceConvFwdXdl<
                     remove_reference_t<DeviceConvFwdXdl::AGridDesc_K0_M_K1>,
                     remove_reference_t<DeviceConvFwdXdl::BGridDesc_K0_N_K1>,
                     remove_reference_t<DeviceConvFwdXdl::CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2>,
+                    InElementwiseOperation,
+                    WeiElementwiseOperation,
+                    OutElementwiseOperation,
                     remove_reference_t<DeviceConvFwdXdl::Block2CTileMap>,
                     true>;
 
@@ -463,6 +485,9 @@ struct DeviceConvFwdXdl<
                                                   arg.a_grid_desc_k0_m_k1_,
                                                   arg.b_grid_desc_k0_n_k1_,
                                                   arg.c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2_,
+                                                  arg.in_element_op_,
+                                                  arg.wei_element_op_,
+                                                  arg.out_element_op_,
                                                   arg.block_2_ctile_map_);
             }
             else
@@ -474,6 +499,9 @@ struct DeviceConvFwdXdl<
                     remove_reference_t<DeviceConvFwdXdl::AGridDesc_K0_M_K1>,
                     remove_reference_t<DeviceConvFwdXdl::BGridDesc_K0_N_K1>,
                     remove_reference_t<DeviceConvFwdXdl::CGridDesc_M0_N0_M1_N1_M2_M3_M4_N2>,
+                    InElementwiseOperation,
+                    WeiElementwiseOperation,
+                    OutElementwiseOperation,
                     remove_reference_t<DeviceConvFwdXdl::Block2CTileMap>,
                     false>;
 
@@ -488,6 +516,9 @@ struct DeviceConvFwdXdl<
                                                   arg.a_grid_desc_k0_m_k1_,
                                                   arg.b_grid_desc_k0_n_k1_,
                                                   arg.c_grid_desc_m0_n0_m1_n1_m2_m3_m4_n2_,
+                                                  arg.in_element_op_,
+                                                  arg.wei_element_op_,
+                                                  arg.out_element_op_,
                                                   arg.block_2_ctile_map_);
             }
 
@@ -534,7 +565,10 @@ struct DeviceConvFwdXdl<
                              std::vector<ck::index_t> conv_filter_strides,
                              std::vector<ck::index_t> conv_filter_dilations,
                              std::vector<ck::index_t> input_left_pads,
-                             std::vector<ck::index_t> input_right_pads)
+                             std::vector<ck::index_t> input_right_pads,
+                             InElementwiseOperation in_element_op,
+                             WeiElementwiseOperation wei_element_op,
+                             OutElementwiseOperation out_element_op)
     {
         return Argument{p_in_grid,
                         p_wei_grid,
@@ -550,7 +584,10 @@ struct DeviceConvFwdXdl<
                         input_left_pads,
                         input_right_pads,
                         1,
-                        1};
+                        1,
+                        in_element_op,
+                        wei_element_op,
+                        out_element_op};
     }
 
     static auto MakeInvoker() { return Invoker{}; }
@@ -569,7 +606,10 @@ struct DeviceConvFwdXdl<
                         std::vector<ck::index_t> conv_filter_strides,
                         std::vector<ck::index_t> conv_filter_dilations,
                         std::vector<ck::index_t> input_left_pads,
-                        std::vector<ck::index_t> input_right_pads) override
+                        std::vector<ck::index_t> input_right_pads,
+                        InElementwiseOperation in_element_op,
+                        WeiElementwiseOperation wei_element_op,
+                        OutElementwiseOperation out_element_op) override
     {
         return std::make_unique<Argument>(static_cast<const InDataType*>(p_in_grid),
                                           static_cast<const WeiDataType*>(p_wei_grid),
@@ -585,7 +625,10 @@ struct DeviceConvFwdXdl<
                                           input_left_pads,
                                           input_right_pads,
                                           1,
-                                          1);
+                                          1,
+                                          in_element_op,
+                                          wei_element_op,
+                                          out_element_op);
     }
 
     // polymorphic
@@ -593,7 +636,7 @@ struct DeviceConvFwdXdl<
     {
         return std::make_unique<Invoker>(Invoker{});
     }
-};
+}; // namespace device
 
 } // namespace device
 } // namespace tensor_operation