create files for xdlops

composable_kernel/include/driver/driver_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp

+#ifndef CK_DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V4R4_XDLOPS_NCHW_KCYX_NKHW_HPP
+#define CK_DRIVER_DYNAMIC_CONVOLUTION_FORWARD_IMPLICIT_GEMM_V4R4_XDLOPS_NCHW_KCYX_NKHW_HPP
+
+#include "common_header.hpp"
+#include "dynamic_tensor_descriptor.hpp"
+#include "dynamic_tensor_descriptor_helper.hpp"
+#include "driver_dynamic_gemm_xdlops_v1.hpp"
+
+namespace ck {
+
+// GemmM = K
+// GemmN = N * Ho * Wo
+// GemmK = C * Y * X
+template <index_t GemmMPerBlock,
+          index_t GemmNPerBlock,
+          index_t GemmM1,
+          index_t GemmN1,
+          typename... Wei,
+          typename... In,
+          typename... Out,
+          typename ConvStrides,
+          typename ConvDilations,
+          typename InLeftPads,
+          typename InRightPads>
+__host__ __device__ constexpr auto
+transform_forward_convolution_into_gemm_v4r4_xdlops_nchw_kcyx_nkhw_pad(
+    const DynamicTensorDescriptor<Wei...>& wei_k_c_y_x_global_desc,
+    const DynamicTensorDescriptor<In...>& in_n_c_hi_wi_global_desc,
+    const DynamicTensorDescriptor<Out...>& out_n_k_ho_wo_global_desc,
+    const ConvStrides& conv_strides,
+    const ConvDilations& conv_dilations,
+    const InLeftPads& in_left_pads,
+    const InRightPads& in_right_pads)
+{
+    constexpr auto I0 = Number<0>{};
+    constexpr auto I1 = Number<1>{};
+    constexpr auto I2 = Number<2>{};
+    constexpr auto I3 = Number<3>{};
+
+    const auto N = in_n_c_hi_wi_global_desc.GetLength(I0);
+    const auto C = in_n_c_hi_wi_global_desc.GetLength(I1);
+    const auto K = out_n_k_ho_wo_global_desc.GetLength(I1);
+
+    const auto Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
+    const auto Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
+
+    const auto Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
+    const auto Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
+
+    const auto Y = wei_k_c_y_x_global_desc.GetLength(I2);
+    const auto X = wei_k_c_y_x_global_desc.GetLength(I3);
+
+    const auto ConvStrideH = conv_strides[I0];
+    const auto ConvStrideW = conv_strides[I1];
+
+    const auto ConvDilationH = conv_dilations[I0];
+    const auto ConvDilationW = conv_dilations[I1];
+
+    const auto InLeftPadH = in_left_pads[I0];
+    const auto InLeftPadW = in_left_pads[I1];
+
+    const auto InRightPadH = in_right_pads[I0];
+    const auto InRightPadW = in_right_pads[I1];
+
+    // weight tensor
+    const auto wei_gemmk_gemmm_global_desc = transform_dynamic_tensor_descriptor(
+        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(K, C * Y * X)),
+        make_tuple(make_pass_through_transform(K), make_pass_through_transform(C * Y * X)),
+        make_tuple(Sequence<0>{}, Sequence<1>{}),
+        make_tuple(Sequence<1>{}, Sequence<0>{}));
+
+    // input tensor
+    const auto in_n_c_hip_wip_global_desc = transform_dynamic_tensor_descriptor(
+        in_n_c_hi_wi_global_desc,
+        make_tuple(make_pass_through_transform(N),
+                   make_pass_through_transform(C),
+                   make_pad_transform(Hi, InLeftPadH, InRightPadH),
+                   make_pad_transform(Wi, InLeftPadW, InRightPadW)),
+        make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+        make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
+
+    const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor(
+        in_n_c_hip_wip_global_desc,
+        make_tuple(make_pass_through_transform(N),
+                   make_pass_through_transform(C),
+                   make_embed_transform(make_tuple(Y, Ho), make_tuple(ConvDilationH, ConvStrideH)),
+                   make_embed_transform(make_tuple(X, Wo), make_tuple(ConvDilationW, ConvStrideW))),
+        make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+        make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
+
+    const auto in_gemmk_gemmn_global_desc =
+        transform_dynamic_tensor_descriptor(in_n_c_y_ho_x_wo_global_desc,
+                                            make_tuple(make_merge_transform(make_tuple(C, Y, X)),
+                                                       make_merge_transform(make_tuple(N, Ho, Wo))),
+                                            make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
+                                            make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+    // output tensor
+    const auto out_gemmm_gemmn_global_desc = transform_dynamic_tensor_descriptor(
+        make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(N, K, Ho * Wo)),
+        make_tuple(make_pass_through_transform(K), make_merge_transform(make_tuple(N, Ho * Wo))),
+        make_tuple(Sequence<1>{}, Sequence<0, 2>{}),
+        make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+    const auto GemmM = out_gemmm_gemmn_global_desc.GetLength(I0);
+    const auto GemmN = out_gemmm_gemmn_global_desc.GetLength(I1);
+    const auto GemmK = wei_gemmk_gemmm_global_desc.GetLength(I0);
+
+    assert(GemmM % GemmMPerBlock == 0 && GemmN % GemmNPerBlock == 0 && GemmK % GemmKPerBlock == 0);
+
+    const auto GemmM0 = GemmM / Number<GemmM1>{};
+    const auto GemmN0 = GemmN / Number<GemmN1>{};
+
+    const auto out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc = transform_dynamic_tensor_descriptor(
+        out_gemmm_gemmn_global_desc,
+        make_tuple(make_unmerge_transform(make_tuple(GemmM0, GemmM1)),
+                   make_unmerge_transform(make_tuple(GemmN0, GemmN1))),
+        make_tuple(Sequence<0>{}, Sequence<1>{}),
+        make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));
+
+    // out_gemm_block_cluster_desc
+    const auto out_gemm_block_cluster_desc = make_cluster_descriptor_v2(
+        make_tuple(GemmM / Number<GemmMPerBlock>{}, GemmN / Number<GemmNPerBlock>{}));
+
+    // hack to control index calculation when iterating over wei_gemmk_gemmm_global tensor
+    constexpr auto wei_gemmk_gemmm_global_iterator_hacks =
+        make_tuple(make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}),
+                   make_tuple(Sequence<0, 0, 0>{}, Sequence<0, 0, 0>{}));
+
+    constexpr auto wei_gemmk_gemmm_global_move_slice_window_iterator_hacks = Sequence<0, 0, 0>{};
+
+    // hack to control index calculation when iterating over in_gemmk_gemmn_global tensor
+    constexpr auto in_gemmk_gemmn_global_iterator_hacks =
+        make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0>{},
+                              Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1>{}),
+                   make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0>{},
+                              Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2>{}));
+
+    constexpr auto in_gemmk_gemmn_global_move_slice_window_iterator_hacks =
+        Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2>{};
+
+    // hack to control index calculation when iterating over out_gemmm0_gemmm1_gemmn0_gemmn1_global
+    // tensor hack for NKHW format
+    constexpr auto out_gemmm0_gemmm1_gemmn0_gemmn1_global_iterator_hacks =
+        make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0>{},
+                              Sequence<0, 0, 0, 0, 0>{},
+                              Sequence<0, 0, 1, 0, 0>{},
+                              Sequence<0, 0, 1, 0, 0>{}),
+                   make_tuple(Sequence<0, 0, 0, 0, 0>{},
+                              Sequence<0, 0, 0, 0, 0>{},
+                              Sequence<0, 0, 2, 0, 0>{},
+                              Sequence<0, 0, 2, 0, 0>{}));
+
+    return make_tuple(wei_gemmk_gemmm_global_desc,
+                      in_gemmk_gemmn_global_desc,
+                      out_gemmm0_gemmm1_gemmn0_gemmn1_global_desc,
+                      out_gemm_block_cluster_desc,
+                      wei_gemmk_gemmm_global_iterator_hacks,
+                      in_gemmk_gemmn_global_iterator_hacks,
+                      out_gemmm0_gemmm1_gemmn0_gemmn1_global_iterator_hacks,
+                      wei_gemmk_gemmm_global_move_slice_window_iterator_hacks,
+                      in_gemmk_gemmn_global_move_slice_window_iterator_hacks);
+}
+
+} // namespace ck
+#endif

composable_kernel/include/driver/driver_dynamic_gemm_xdlops_v1.hpp

+#ifndef CK_DRIVER_DYNAMIC_GEMM_XDLOPS_V1
+#define CK_DRIVER_DYNAMIC_GEMM_XDLOPS_V1
+
+#include "common_header.hpp"
+#include "dynamic_tensor_descriptor.hpp"
+#include "dynamic_tensor_descriptor_helper.hpp"
+#include "gridwise_dynamic_gemm_xdlops.hpp"
+#include "gridwise_operation_wrapper.hpp"
+
+namespace ck {
+
+template <index_t BlockSize,
+          typename FloatAB,
+          typename FloatAcc,
+          typename FloatC,
+          InMemoryDataOperation CGlobalMemoryDataOperation,
+          typename AGlobalDesc,
+          typename BGlobalDesc,
+          typename CGlobalDesc,
+          typename CBlockClusterDesc,
+          index_t MPerBlock,
+          index_t NPerBlock,
+          index_t KPerBlock,
+          index_t MPerThread,
+          index_t NPerThread,
+          index_t KPerThread,
+          index_t MLevel0Cluster,
+          index_t NLevel0Cluster,
+          index_t MLevel1Cluster,
+          index_t NLevel1Cluster,
+          typename ABlockTransferThreadSliceLengths_K_M,
+          typename ABlockTransferThreadClusterLengths_K_M,
+          typename ABlockTransferThreadClusterArrangeOrder,
+          typename ABlockTransferSrcAccessOrder,
+          index_t ABlockTransferSrcVectorDim,
+          index_t ABlockTransferSrcScalarPerVector,
+          index_t ABlockTransferDstScalarPerVector_M,
+          bool AThreadTransferSrcResetCoordinateAfterRun,
+          typename BBlockTransferThreadSliceLengths_K_N,
+          typename BBlockTransferThreadClusterLengths_K_N,
+          typename BBlockTransferThreadClusterArrangeOrder,
+          typename BBlockTransferSrcAccessOrder,
+          index_t BBlockTransferSrcVectorDim,
+          index_t BBlockTransferSrcScalarPerVector,
+          index_t BBlockTransferDstScalarPerVector_N,
+          bool BThreadTransferSrcResetCoordinateAfterRun,
+          typename CThreadTransferSrcDstAccessOrder,
+          index_t CThreadTransferSrcDstVectorDim,
+          index_t CThreadTransferDstScalarPerVector,
+          typename AGlobalIteratorHacks,
+          typename BGlobalIteratorHacks,
+          typename CGlobalIteratorHacks,
+          typename AGlobalMoveSliceWindowIteratorHacks,
+          typename BGlobalMoveSliceWindowIteratorHacks>
+__host__ float launch_kernel_dynamic_gemm_xdlops_v1(const FloatAB* p_a_global,
+                                                    const FloatAB* p_b_global,
+                                                    FloatC* p_c_global,
+                                                    const AGlobalDesc& a_k_m_global_desc,
+                                                    const BGlobalDesc& b_k_n_global_desc,
+                                                    const CGlobalDesc& c_m0_m1_n0_n1_global_desc,
+                                                    const CBlockClusterDesc& c_block_cluster_desc,
+                                                    AGlobalIteratorHacks,
+                                                    BGlobalIteratorHacks,
+                                                    CGlobalIteratorHacks,
+                                                    AGlobalMoveSliceWindowIteratorHacks,
+                                                    BGlobalMoveSliceWindowIteratorHacks,
+                                                    index_t nrepeat)
+
+{
+    constexpr auto I0 = Number<0>{};
+    constexpr auto I1 = Number<1>{};
+    constexpr auto I2 = Number<2>{};
+    constexpr auto I3 = Number<3>{};
+
+    const auto M = a_k_m_global_desc.GetLength(I1);
+    const auto N = b_k_n_global_desc.GetLength(I1);
+    const auto K = a_k_m_global_desc.GetLength(I0);
+
+    if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K % KPerBlock == 0))
+    {
+        throw std::runtime_error("wrong! GEMM size no divisible");
+    }
+
+    constexpr auto M1 = Number<MPerThread * MLevel0Cluster * MLevel1Cluster>{};
+    constexpr auto N1 = Number<NPerThread * NLevel0Cluster * NLevel1Cluster>{};
+
+    if(!(MPerBlock % M1 == 0 && NPerBlock % N1 == 0))
+    {
+        throw std::runtime_error("wrong! GEMM size no divisible");
+    }
+
+    // GEMM
+    using gridwise_gemm =
+        GridwiseDynamicGemm_km_kn_m0m1n0n1_xdlops_v1<BlockSize,
+                                                     FloatAB,
+                                                     FloatAcc,
+                                                     FloatC,
+                                                     CGlobalMemoryDataOperation,
+                                                     AGlobalDesc,
+                                                     BGlobalDesc,
+                                                     CGlobalDesc,
+                                                     CBlockClusterDesc,
+                                                     MPerBlock,
+                                                     NPerBlock,
+                                                     KPerBlock,
+                                                     MPerThread,
+                                                     NPerThread,
+                                                     KPerThread,
+                                                     MLevel0Cluster,
+                                                     NLevel0Cluster,
+                                                     MLevel1Cluster,
+                                                     NLevel1Cluster,
+                                                     ABlockTransferThreadSliceLengths_K_M,
+                                                     ABlockTransferThreadClusterLengths_K_M,
+                                                     ABlockTransferThreadClusterArrangeOrder,
+                                                     ABlockTransferSrcAccessOrder,
+                                                     ABlockTransferSrcVectorDim,
+                                                     ABlockTransferSrcScalarPerVector,
+                                                     ABlockTransferDstScalarPerVector_M,
+                                                     AThreadTransferSrcResetCoordinateAfterRun,
+                                                     BBlockTransferThreadSliceLengths_K_N,
+                                                     BBlockTransferThreadClusterLengths_K_N,
+                                                     BBlockTransferThreadClusterArrangeOrder,
+                                                     BBlockTransferSrcAccessOrder,
+                                                     BBlockTransferSrcVectorDim,
+                                                     BBlockTransferSrcScalarPerVector,
+                                                     BBlockTransferDstScalarPerVector_N,
+                                                     BThreadTransferSrcResetCoordinateAfterRun,
+                                                     CThreadTransferSrcDstAccessOrder,
+                                                     CThreadTransferSrcDstVectorDim,
+                                                     CThreadTransferDstScalarPerVector,
+                                                     AGlobalIteratorHacks,
+                                                     BGlobalIteratorHacks,
+                                                     CGlobalIteratorHacks,
+                                                     AGlobalMoveSliceWindowIteratorHacks,
+                                                     BGlobalMoveSliceWindowIteratorHacks>;
+
+    const auto GridSize = (M / MPerBlock) * (N / NPerBlock);
+
+    const bool has_main_k_block_loop = (K + KPerBlock) / (2 * KPerBlock) > 1;
+
+    const bool has_double_tail_k_block_loop = (K / KPerBlock) % 2 == 0;
+
+    float ave_time = 0;
+
+    if(has_main_k_block_loop && has_double_tail_k_block_loop)
+    {
+        const auto kernel = run_gridwise_operation<gridwise_gemm,
+                                                   remove_reference_t<AGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<BGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<CGlobalDesc>,
+                                                   FloatC*,
+                                                   remove_reference_t<CBlockClusterDesc>,
+                                                   integral_constant<bool, true>,
+                                                   integral_constant<bool, true>>;
+
+        ave_time = launch_and_time_kernel(kernel,
+                                          nrepeat,
+                                          dim3(GridSize),
+                                          dim3(BlockSize),
+                                          0,
+                                          0,
+                                          a_k_m_global_desc,
+                                          p_a_global,
+                                          b_k_n_global_desc,
+                                          p_b_global,
+                                          c_m0_m1_n0_n1_global_desc,
+                                          p_c_global,
+                                          c_block_cluster_desc,
+                                          integral_constant<bool, true>{},
+                                          integral_constant<bool, true>{});
+    }
+    else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
+    {
+        const auto kernel = run_gridwise_operation<gridwise_gemm,
+                                                   remove_reference_t<AGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<BGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<CGlobalDesc>,
+                                                   FloatC*,
+                                                   remove_reference_t<CBlockClusterDesc>,
+                                                   integral_constant<bool, true>,
+                                                   integral_constant<bool, false>>;
+
+        ave_time = launch_and_time_kernel(kernel,
+                                          nrepeat,
+                                          dim3(GridSize),
+                                          dim3(BlockSize),
+                                          0,
+                                          0,
+                                          a_k_m_global_desc,
+                                          p_a_global,
+                                          b_k_n_global_desc,
+                                          p_b_global,
+                                          c_m0_m1_n0_n1_global_desc,
+                                          p_c_global,
+                                          c_block_cluster_desc,
+                                          integral_constant<bool, true>{},
+                                          integral_constant<bool, false>{});
+    }
+    else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
+    {
+        const auto kernel = run_gridwise_operation<gridwise_gemm,
+                                                   remove_reference_t<AGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<BGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<CGlobalDesc>,
+                                                   FloatC*,
+                                                   remove_reference_t<CBlockClusterDesc>,
+                                                   integral_constant<bool, false>,
+                                                   integral_constant<bool, true>>;
+
+        ave_time = launch_and_time_kernel(kernel,
+                                          nrepeat,
+                                          dim3(GridSize),
+                                          dim3(BlockSize),
+                                          0,
+                                          0,
+                                          a_k_m_global_desc,
+                                          p_a_global,
+                                          b_k_n_global_desc,
+                                          p_b_global,
+                                          c_m0_m1_n0_n1_global_desc,
+                                          p_c_global,
+                                          c_block_cluster_desc,
+                                          integral_constant<bool, false>{},
+                                          integral_constant<bool, true>{});
+    }
+    else
+    {
+        const auto kernel = run_gridwise_operation<gridwise_gemm,
+                                                   remove_reference_t<AGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<BGlobalDesc>,
+                                                   const FloatAB*,
+                                                   remove_reference_t<CGlobalDesc>,
+                                                   FloatC*,
+                                                   remove_reference_t<CBlockClusterDesc>,
+                                                   integral_constant<bool, false>,
+                                                   integral_constant<bool, false>>;
+
+        ave_time = launch_and_time_kernel(kernel,
+                                          nrepeat,
+                                          dim3(GridSize),
+                                          dim3(BlockSize),
+                                          0,
+                                          0,
+                                          a_k_m_global_desc,
+                                          p_a_global,
+                                          b_k_n_global_desc,
+                                          p_b_global,
+                                          c_m0_m1_n0_n1_global_desc,
+                                          p_c_global,
+                                          c_block_cluster_desc,
+                                          integral_constant<bool, false>{},
+                                          integral_constant<bool, false>{});
+    }
+
+    return ave_time;
+}
+
+} // namespace ck
+#endif

composable_kernel/include/utility/config.amd.hpp.in

@@ -16,9 +16,9 @@
 // GPU ID
 #if 0
 #define CK_AMD_GPU_GFX906 1
-#elif 0
-#define CK_AMD_GPU_GFX908 1
 #elif 1
+#define CK_AMD_GPU_GFX908 1
+#elif 0
 #define CK_AMD_GPU_GFX1030 1
 #endif
 

driver/include/device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp

+#include <unistd.h>
+#include "device.hpp"
+#include "host_tensor.hpp"
+#include "driver_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp"
+
+template <class TInWei,
+          ck::index_t InWeiVectorSize,
+          class TAcc,
+          class TOut,
+          class InDesc,
+          class WeiDesc,
+          class OutDesc,
+          class ConvStrides,
+          class ConvDilations,
+          class InLeftPads,
+          class InRightPads>
+void device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw(
+    InDesc,
+    const Tensor<TInWei>& in_n_c_hi_wi,
+    WeiDesc,
+    const Tensor<TInWei>& wei_k_c_y_x,
+    OutDesc,
+    Tensor<TOut>& out_n_k_ho_wo,
+    ConvStrides,
+    ConvDilations,
+    InLeftPads,
+    InRightPads,
+    ck::index_t nrepeat)
+{
+    using namespace ck;
+
+    std::cout << __func__ << std::endl;
+
+    constexpr auto I0 = Number<0>{};
+    constexpr auto I1 = Number<1>{};
+    constexpr auto I2 = Number<2>{};
+    constexpr auto I3 = Number<3>{};
+    constexpr auto I4 = Number<4>{};
+    constexpr auto I5 = Number<5>{};
+    constexpr auto I6 = Number<6>{};
+    constexpr auto I7 = Number<7>{};
+    constexpr auto I8 = Number<8>{};
+
+    DeviceMem in_n_c_hi_wi_device_buf(sizeof(TInWei) * in_n_c_hi_wi.mDesc.GetElementSpace());
+    DeviceMem wei_k_c_y_x_device_buf(sizeof(TInWei) * wei_k_c_y_x.mDesc.GetElementSpace());
+    DeviceMem out_n_k_ho_wo_device_buf(sizeof(TOut) * out_n_k_ho_wo.mDesc.GetElementSpace());
+
+    in_n_c_hi_wi_device_buf.ToDevice(in_n_c_hi_wi.mData.data());
+    wei_k_c_y_x_device_buf.ToDevice(wei_k_c_y_x.mData.data());
+    out_n_k_ho_wo_device_buf.ToDevice(out_n_k_ho_wo.mData.data());
+
+#if 1
+    // run-time variables
+    const auto in_n_c_hi_wi_desc =
+        make_dynamic_naive_tensor_descriptor_packed_v2(to_multi_index(InDesc::GetLengths()));
+    const auto wei_k_c_y_x_desc =
+        make_dynamic_naive_tensor_descriptor_packed_v2(to_multi_index(WeiDesc::GetLengths()));
+    const auto out_n_k_ho_wo_desc =
+        make_dynamic_naive_tensor_descriptor_packed_v2(to_multi_index(OutDesc::GetLengths()));
+
+    const auto conv_strides   = to_multi_index(ConvStrides{});
+    const auto conv_dilations = to_multi_index(ConvDilations{});
+    const auto in_left_pads   = to_multi_index(InLeftPads{});
+    const auto in_right_pads  = to_multi_index(InRightPads{});
+#else
+    // compile-time variables
+    const auto in_n_c_hi_wi_desc = make_dynamic_naive_tensor_descriptor_packed_v2(
+        sequence_to_tuple_of_number(InDesc::GetLengths()));
+    const auto wei_k_c_y_x_desc = make_dynamic_naive_tensor_descriptor_packed_v2(
+        sequence_to_tuple_of_number(WeiDesc::GetLengths()));
+    const auto out_n_k_ho_wo_desc = make_dynamic_naive_tensor_descriptor_packed_v2(
+        sequence_to_tuple_of_number(OutDesc::GetLengths()));
+
+    const auto conv_strides   = sequence_to_tuple_of_number(ConvStrides{});
+    const auto conv_dilations = sequence_to_tuple_of_number(ConvDilations{});
+    const auto in_left_pads   = sequence_to_tuple_of_number(InLeftPads{});
+    const auto in_right_pads  = sequence_to_tuple_of_number(InRightPads{});
+#endif
+
+    // cdata = 64, BlockSize = 256, 128x128x8
+    // b thread copy 4x1
+    constexpr index_t BlockSize = 256;
+
+    constexpr index_t GemmMPerBlock = 128;
+    constexpr index_t GemmNPerBlock = 128;
+    constexpr index_t GemmKPerBlock = 8;
+
+    constexpr index_t GemmMPerThread = 4;
+    constexpr index_t GemmNPerThread = 4;
+    constexpr index_t GemmKPerThread = 1;
+
+    constexpr index_t GemmMLevel0Cluster = 2;
+    constexpr index_t GemmNLevel0Cluster = 2;
+    constexpr index_t GemmMLevel1Cluster = 8;
+    constexpr index_t GemmNLevel1Cluster = 8;
+
+    using GemmABlockTransferThreadSliceLengths_GemmK_GemmM   = Sequence<4, 1>;
+    using GemmABlockTransferThreadClusterLengths_GemmK_GemmM = Sequence<2, 128>;
+
+    constexpr index_t GemmABlockTransferSrcScalarPerVector_GemmK = 4;
+    constexpr index_t GemmABlockTransferDstScalarPerVector_GemmM = 1;
+
+    using GemmBBlockTransferThreadSliceLengths_GemmK_GemmN   = Sequence<4, 1>;
+    using GemmBBlockTransferThreadClusterLengths_GemmK_GemmN = Sequence<2, 128>;
+
+    constexpr index_t GemmBBlockTransferSrcScalarPerVector_GemmN = 1;
+    constexpr index_t GemmBBlockTransferDstScalarPerVector_GemmN = 1;
+
+    constexpr index_t GemmCThreadTransferDstScalarPerVector_GemmN1 = 1;
+
+    constexpr index_t GemmM1 = GemmMPerThread * GemmMLevel0Cluster * GemmMLevel1Cluster;
+    constexpr index_t GemmN1 = GemmNPerThread * GemmNLevel0Cluster * GemmNLevel1Cluster;
+
+    const auto descs =
+        transform_forward_convolution_into_gemm_v4r4_xdlops_nchw_kcyx_nkhw_pad<GemmMPerBlock,
+                                                                               GemmNPerBlock,
+                                                                               GemmM1,
+                                                                               GemmN1>(
+            wei_k_c_y_x_desc,
+            in_n_c_hi_wi_desc,
+            out_n_k_ho_wo_desc,
+            conv_strides,
+            conv_dilations,
+            in_left_pads,
+            in_right_pads);
+
+    for(index_t i = 0; i < 5; ++i)
+    {
+        float ave_time = launch_kernel_dynamic_gemm_xdlops_v1<
+            BlockSize,
+            typename vector_type<TInWei, InWeiVectorSize>::type,
+            TAcc,
+            TOut,
+            InMemoryDataOperation::Set,
+            decltype(descs[I0]),
+            decltype(descs[I1]),
+            decltype(descs[I2]),
+            decltype(descs[I3]),
+            GemmMPerBlock,
+            GemmNPerBlock,
+            GemmKPerBlock,
+            GemmMPerThread,
+            GemmNPerThread,
+            GemmKPerThread,
+            GemmMLevel0Cluster,
+            GemmNLevel0Cluster,
+            GemmMLevel1Cluster,
+            GemmNLevel1Cluster,
+            GemmABlockTransferThreadSliceLengths_GemmK_GemmM,
+            GemmABlockTransferThreadClusterLengths_GemmK_GemmM,
+            Sequence<1, 0>,
+            Sequence<1, 0>,
+            0,
+            GemmABlockTransferSrcScalarPerVector_GemmK,
+            GemmABlockTransferDstScalarPerVector_GemmM,
+            false, // don't move back src coordinate after threadwise copy
+            GemmBBlockTransferThreadSliceLengths_GemmK_GemmN,
+            GemmBBlockTransferThreadClusterLengths_GemmK_GemmN,
+            Sequence<0, 1>,
+            Sequence<0, 1>,
+            1,
+            GemmBBlockTransferSrcScalarPerVector_GemmN,
+            GemmBBlockTransferDstScalarPerVector_GemmN,
+            false, // don't move back src coordinate after threadwise copy, which will be fused with
+                   // MoveSrcSliceWindow() to save addr computation
+            Sequence<2, 3, 0, 1>,
+            3,
+            GemmCThreadTransferDstScalarPerVector_GemmN1,
+            decltype(descs[I4]),
+            decltype(descs[I5]),
+            decltype(descs[I6]),
+            decltype(descs[I7]),
+            decltype(descs[I8])>(static_cast<typename vector_type<TInWei, InWeiVectorSize>::type*>(
+                                     wei_k_c_y_x_device_buf.GetDeviceBuffer()),
+                                 static_cast<typename vector_type<TInWei, InWeiVectorSize>::type*>(
+                                     in_n_c_hi_wi_device_buf.GetDeviceBuffer()),
+                                 static_cast<TOut*>(out_n_k_ho_wo_device_buf.GetDeviceBuffer()),
+                                 descs[I0],
+                                 descs[I1],
+                                 descs[I2],
+                                 descs[I3],
+                                 descs[I4],
+                                 descs[I5],
+                                 descs[I6],
+                                 descs[I7],
+                                 descs[I8],
+                                 nrepeat);
+
+        float perf = (float)calculate_convolution_flops(
+                         in_n_c_hi_wi_desc, wei_k_c_y_x_desc, out_n_k_ho_wo_desc) /
+                     (std::size_t(1000) * 1000 * 1000) / ave_time;
+
+        std::cout << "Average time : " << ave_time << " ms, " << perf << " TFlop/s" << std::endl;
+    }
+
+    // copy result back to host
+    out_n_k_ho_wo_device_buf.FromDevice(out_n_k_ho_wo.mData.data());
+}

driver/src/conv_driver.cpp

@@ -18,11 +18,27 @@
 #include "device_dynamic_convolution_forward_implicit_gemm_v4r4_nhwc_kyxc_nhwk.hpp"
 #include "device_dynamic_convolution_forward_implicit_gemm_v5r1_nchw_kcyx_nkhw.hpp"
 
+#include "device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw.hpp"
+
 int main(int argc, char* argv[])
 {
     using namespace ck;
 
-#if 0
+#if 1
+    constexpr index_t N  = 8;
+    constexpr index_t C  = 16;
+    constexpr index_t HI = 4;
+    constexpr index_t WI = 4;
+    constexpr index_t K  = 128;
+    constexpr index_t Y  = 1;
+    constexpr index_t X  = 1;
+
+    using ConvStrides   = Sequence<1, 1>;
+    using ConvDilations = Sequence<1, 1>;
+
+    using LeftPads  = Sequence<0, 0>;
+    using RightPads = Sequence<0, 0>;
+#elif 0
     constexpr index_t N  = 1;
     constexpr index_t C  = 16;
     constexpr index_t HI = 1080;
@@ -630,7 +646,7 @@ int main(int argc, char* argv[])
     print_array("ConvStrides", to_multi_index(ConvStrides{}));
     print_array("ConvDilations", to_multi_index(ConvDilations{}));
 
-#if 0
+#if 1
     using in_data_t                  = float;
     constexpr index_t in_vector_size = 1;
     using acc_data_t                 = float;
@@ -724,6 +740,22 @@ int main(int argc, char* argv[])
                                                                  LeftPads{},
                                                                  RightPads{},
                                                                  nrepeat);
+#elif 1
+    device_dynamic_convolution_forward_implicit_gemm_v4r4_xdlops_nchw_kcyx_nkhw<in_data_t,
+                                                                                in_vector_size,
+                                                                                acc_data_t,
+                                                                                out_data_t>(
+        in_nchw_desc,
+        in_nchw,
+        wei_kcyx_desc,
+        wei_kcyx,
+        out_nkhw_desc,
+        out_nkhw_device,
+        ConvStrides{},
+        ConvDilations{},
+        LeftPads{},
+        RightPads{},
+        nrepeat);
 #elif 0
     device_dynamic_convolution_forward_implicit_gemm_v4r4_nchw_kcyx_nkhw<in_data_t,
                                                                          in_vector_size,

script/cmake-rocm3.7.sh

@@ -10,7 +10,7 @@ cmake
 -D CMAKE_INSTALL_PREFIX=${MY_PROJECT_INSTALL}                                                                                      \
 -D CMAKE_BUILD_TYPE=Release                                                                                                        \
 -D DEVICE_BACKEND="AMD"                                                                                                            \
--D CMAKE_CXX_FLAGS="-O3 --amdgpu-target=gfx1030 -gline-tables-only -save-temps=$CWD -ftemplate-backtrace-limit=0"                   \
+-D CMAKE_CXX_FLAGS="-O3 --amdgpu-target=gfx908 -gline-tables-only -save-temps=$CWD -ftemplate-backtrace-limit=0"                   \
 -D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc                                                                                          \
 -D CMAKE_PREFIX_PATH="/opt/rocm"                                                                                                   \
 -D CMAKE_VERBOSE_MAKEFILE:BOOL=ON                                                                                                  \