add lds doble buffer to nchw padded v4r1 and v4r4

composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_padded_lds_double_buffer.hpp

+#ifndef CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R1_NCHW_KCYX_NKHW_PADDED_LDS_DOUBLE_BUFFER_HPP
+#define CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R1_NCHW_KCYX_NKHW_PADDED_LDS_DOUBLE_BUFFER_HPP
+
+#include "common_header.hpp"
+#include "ConstantTensorDescriptor.hpp"
+#include "ConstantMergedTensorDescriptor.hpp"
+#include "ConstantMatrixDescriptor.hpp"
+#include "blockwise_generic_tensor_slice_copy.hpp"
+#include "blockwise_gemm.hpp"
+#include "threadwise_generic_tensor_slice_copy.hpp"
+
+namespace ck {
+
+// define B = merge(N0, Ho, Wo)
+template <index_t GridSize,
+          index_t BlockSize,
+          typename Float,
+          typename InGlobalDesc,
+          typename WeiGlobalDesc,
+          typename OutGlobalDesc,
+          typename ConvStrides,
+          typename ConvDilations,
+          typename LeftPads,
+          typename RightPads,
+          index_t BPerBlock,
+          index_t KPerBlock,
+          index_t EPerBlock,
+          index_t GemmNRepeat,
+          index_t GemmMPerThreadSubC,
+          index_t GemmNPerThreadSubC,
+          index_t GemmMLevel0Cluster,
+          index_t GemmNLevel0Cluster,
+          index_t GemmMLevel1Cluster,
+          index_t GemmNLevel1Cluster,
+          index_t GemmKPerThreadLoop,
+          index_t GemmDataPerReadA,
+          index_t GemmDataPerReadB,
+          typename InBlockCopySubLengths_E_N1_B_N2,
+          typename InBlockCopyClusterLengths_E_N1_B_N2,
+          typename InBlockCopyThreadClusterArrangeOrder,
+          typename InBlockCopySrcAccessOrder,
+          typename InBlockCopyDstAccessOrder,
+          index_t InBlockCopySrcDataPerRead_B,
+          index_t InBlockCopyDstDataPerWrite_N2,
+          typename WeiBlockCopySubLengths_E_K,
+          typename WeiBlockCopyClusterLengths_E_K,
+          typename WeiBlockCopyThreadClusterArrangeOrder,
+          typename WeiBlockCopySrcAccessOrder,
+          typename WeiBlockCopyDstAccessOrder,
+          index_t WeiBlockCopySrcDataPerRead_E,
+          index_t WeiBlockCopyDstDataPerWrite_K>
+struct GridwiseConvolutionImplicitGemm_v4r1_nchw_kcyx_nkhw_padded_lds_double_buffer
+{
+    __device__ void Run(const Float* const __restrict__ p_in_global,
+                        const Float* const __restrict__ p_wei_global,
+                        Float* const __restrict__ p_out_global) const
+    {
+        // this is a mess
+        // TODO: find more elegent way of specifying (or calculating) performance parameters
+        constexpr index_t N1 = GemmNRepeat;
+        constexpr index_t N2 = GemmNPerThreadSubC;
+
+        static_assert((N1 * N2 * BPerBlock) %
+                              (GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster) ==
+                          0,
+                      "wrong!");
+
+        constexpr auto I0 = Number<0>{};
+        constexpr auto I1 = Number<1>{};
+        constexpr auto I2 = Number<2>{};
+        constexpr auto I3 = Number<3>{};
+
+        constexpr auto True = integral_constant<bool, true>{};
+
+        constexpr auto in_n_c_hi_wi_global_desc =
+            make_native_tensor_descriptor(InGlobalDesc::GetLengths(), InGlobalDesc::GetStrides());
+        constexpr auto wei_k_c_y_x_global_desc =
+            make_native_tensor_descriptor(WeiGlobalDesc::GetLengths(), WeiGlobalDesc::GetStrides());
+        constexpr auto out_n_k_ho_wo_global_desc =
+            make_native_tensor_descriptor(OutGlobalDesc::GetLengths(), OutGlobalDesc::GetStrides());
+
+        constexpr index_t N  = in_n_c_hi_wi_global_desc.GetLength(I0);
+        constexpr index_t C  = in_n_c_hi_wi_global_desc.GetLength(I1);
+        constexpr index_t Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
+        constexpr index_t Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
+
+        constexpr index_t K  = out_n_k_ho_wo_global_desc.GetLength(I1);
+        constexpr index_t Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
+        constexpr index_t Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
+
+        constexpr index_t Y = wei_k_c_y_x_global_desc.GetLength(I2);
+        constexpr index_t X = wei_k_c_y_x_global_desc.GetLength(I3);
+
+        constexpr index_t ConvStrideH = ConvStrides{}[0];
+        constexpr index_t ConvStrideW = ConvStrides{}[1];
+
+        constexpr index_t ConvDilationH = ConvDilations{}[0];
+        constexpr index_t ConvDilationW = ConvDilations{}[1];
+
+        static_assert(N % (N1 * N2) == 0, "wrong! cannot divice N evenly among thread");
+
+        constexpr index_t N0 = N / (N1 * N2);
+
+        constexpr index_t B = N0 * Ho * Wo;
+
+        constexpr index_t E = C * Y * X;
+
+        // sanity-check for vectorized memory load
+        static_assert((Ho == 1 || ConvStrideW % InBlockCopySrcDataPerRead_B == 0) &&
+                          (X == 1 || ConvDilationW % InBlockCopySrcDataPerRead_B == 0),
+                      "wrong! aligment requirement for vectorized global load of input tensor will "
+                      "be violated");
+
+        // divide block work by [K, B]
+        static_assert(K % KPerBlock == 0 && B % BPerBlock == 0 && E % EPerBlock == 0,
+                      "wrong! cannot divide work evenly among block");
+
+        constexpr index_t KBlockWork = K / KPerBlock;
+        constexpr index_t BBlockWork = B / BPerBlock;
+
+        constexpr auto block_work_desc =
+            make_ConstantTensorDescriptor_packed(Sequence<KBlockWork, BBlockWork>{});
+
+        const auto block_work_multi_id =
+            block_work_desc.GetMultiIndexFrom1dIndex(get_block_1d_id());
+
+        const index_t k_block_data_on_global = block_work_multi_id[0] * KPerBlock;
+        const index_t b_block_data_on_global = block_work_multi_id[1] * BPerBlock;
+
+        // input tensor
+        //     global memory
+        constexpr auto in_n_c_hip_wip_global_desc = transform_tensor_descriptor(
+            in_n_c_hi_wi_global_desc,
+            make_tuple(
+                PassThrough<N>{}, PassThrough<C>{}, Pad<Sequence<Hi, Wi>, LeftPads, RightPads>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}));
+
+        constexpr auto in_n0_n1_n2_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
+            in_n_c_hip_wip_global_desc,
+            make_tuple(Unmerge<Sequence<N0, N1, N2>>{},
+                       PassThrough<C>{},
+                       Embed<Sequence<Y, Ho>, Sequence<ConvDilationH, ConvStrideH, 0>>{},
+                       Embed<Sequence<X, Wo>, Sequence<ConvDilationW, ConvStrideW, 0>>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+            make_tuple(Sequence<0, 1, 2>{}, Sequence<3>{}, Sequence<4, 5>{}, Sequence<6, 7>{}));
+
+        constexpr auto in_e_n1_b_n2_global_desc = transform_tensor_descriptor(
+            in_n0_n1_n2_c_y_ho_x_wo_global_desc,
+            make_tuple(Merge<Sequence<C, Y, X>>{},
+                       PassThrough<N1>{},
+                       Merge<Sequence<N0, Ho, Wo>>{},
+                       PassThrough<N2>{}),
+            make_tuple(Sequence<3, 4, 6>{}, Sequence<1>{}, Sequence<0, 5, 7>{}, Sequence<2>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
+
+        //     memory layout descriptor in LDS [E, N1, B, N2], dst of blockwise copy
+        //     be careful of LDS alignment
+        constexpr auto in_e_n1_b_n2_block_desc = make_native_tensor_descriptor_aligned(
+            Sequence<EPerBlock, N1, BPerBlock, N2>{}, Number<InBlockCopyDstDataPerWrite_N2>{});
+
+        //     this check is ad-hoc
+        //     TODO: need to properly implement tensor descriptor with multiple alignment
+        //     requirements
+        static_assert(in_e_n1_b_n2_block_desc.GetStride(I1) % GemmDataPerReadB == 0,
+                      "GemmDataPerReadB alignment requirement is not satisfied");
+
+        // input blockwise copy
+        //     slice a merged tensor, reorder and copy to a normal tensor
+        //     this copy operator already has blockwise offset built-in
+        auto blockwise_in_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(in_e_n1_b_n2_global_desc),
+                                               decltype(in_e_n1_b_n2_block_desc),
+                                               decltype(in_e_n1_b_n2_block_desc.GetLengths()),
+                                               InBlockCopySubLengths_E_N1_B_N2,
+                                               InBlockCopyClusterLengths_E_N1_B_N2,
+                                               InBlockCopyThreadClusterArrangeOrder,
+                                               InBlockCopySrcAccessOrder,
+                                               InBlockCopyDstAccessOrder,
+                                               2,
+                                               3,
+                                               InBlockCopySrcDataPerRead_B,
+                                               InBlockCopyDstDataPerWrite_N2>(
+                {0, 0, b_block_data_on_global, 0}, {0, 0, 0, 0});
+
+        // weight tensor
+        //     tensor descriptor in device memory, src of blockwise copy
+        constexpr auto wei_e_k_global_desc =
+            transform_tensor_descriptor(wei_k_c_y_x_global_desc,
+                                        make_tuple(Merge<Sequence<C, Y, X>>{}, PassThrough<K>{}),
+                                        make_tuple(Sequence<1, 2, 3>{}, Sequence<0>{}),
+                                        make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+        //     tensor descriptor in LDS, dst of blockwise copy
+        //     be careful of LDS alignment
+        constexpr auto wei_e_k_block_desc = make_native_tensor_descriptor_aligned(
+            Sequence<EPerBlock, KPerBlock>{},
+            Number<math::lcm(WeiBlockCopyDstDataPerWrite_K, GemmDataPerReadA)>{});
+
+        // operator for blockwise copy of weight into LDS
+        //     slice a tensor, and copy it into another tensor
+        //     this copy operator already have blockwise offset built-in
+        auto blockwise_wei_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(wei_e_k_global_desc),
+                                               decltype(wei_e_k_block_desc),
+                                               decltype(wei_e_k_block_desc.GetLengths()),
+                                               WeiBlockCopySubLengths_E_K,
+                                               WeiBlockCopyClusterLengths_E_K,
+                                               WeiBlockCopyThreadClusterArrangeOrder,
+                                               WeiBlockCopySrcAccessOrder,
+                                               WeiBlockCopyDstAccessOrder,
+                                               0,
+                                               1,
+                                               WeiBlockCopySrcDataPerRead_E,
+                                               WeiBlockCopyDstDataPerWrite_K>(
+                {0, k_block_data_on_global}, {0, 0});
+
+        // GEMM definition
+        // c_mtx += transpose(a_mtx) * b_mtx
+        //     a_mtx[EPerBlock, KPerBlock] is in LDS
+        //     b_mtx[EPerBlocl, N1 * BPerBlock * N2] is in LDS
+        //     c_mtx[KPerBlock, N1 * BPerBlock * N2] is distributed among threads, and saved in
+        //     register
+        constexpr auto a_e_k_block_mtx_desc = make_ConstantMatrixDescriptor(wei_e_k_block_desc);
+
+        constexpr auto b_e_n1bn2_block_mtx_desc = make_ConstantMatrixDescriptor(
+            in_e_n1_b_n2_block_desc.GetLength(I0),
+            in_e_n1_b_n2_block_desc.GetLength(I1) * in_e_n1_b_n2_block_desc.GetLength(I2) *
+                in_e_n1_b_n2_block_desc.GetLength(I3),
+            in_e_n1_b_n2_block_desc.GetStride(I0));
+
+        // sanity check
+        static_assert(KPerBlock % (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster) ==
+                          0,
+                      "wrong!");
+
+        constexpr index_t GemmMRepeat =
+            KPerBlock / (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster);
+
+        // c_thread_mtx definition: this is a mess
+        // TODO:: more elegent way of defining c_thread_mtx
+        constexpr auto c_k0k2_n1n2_thread_mtx_desc = make_ConstantMatrixDescriptor_packed(
+            Number<GemmMRepeat * GemmMPerThreadSubC>{}, Number<N1 * N2>{});
+
+        const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<
+            BlockSize,
+            decltype(a_e_k_block_mtx_desc),
+            decltype(b_e_n1bn2_block_mtx_desc),
+            decltype(c_k0k2_n1n2_thread_mtx_desc),
+            GemmMPerThreadSubC,
+            GemmNPerThreadSubC,
+            GemmMLevel0Cluster,
+            GemmNLevel0Cluster,
+            GemmMLevel1Cluster,
+            GemmNLevel1Cluster,
+            GemmKPerThreadLoop,
+            GemmDataPerReadA,
+            GemmDataPerReadB>{};
+
+        // LDS allocation for input and weight: be careful of alignment
+        constexpr index_t max_align = math::lcm(InBlockCopyDstDataPerWrite_N2,
+                                                WeiBlockCopyDstDataPerWrite_K,
+                                                GemmDataPerReadA,
+                                                GemmDataPerReadB);
+
+        constexpr index_t in_block_space =
+            math::integer_least_multiple(in_e_n1_b_n2_block_desc.GetElementSpace(), max_align);
+
+        constexpr index_t wei_block_space =
+            math::integer_least_multiple(wei_e_k_block_desc.GetElementSpace(), max_align);
+
+        __shared__ Float p_in_block_double[2 * in_block_space];
+        __shared__ Float p_wei_block_double[2 * wei_block_space];
+
+        // register allocation for output
+        Float p_out_thread[c_k0k2_n1n2_thread_mtx_desc.GetElementSpace()];
+
+        // zero out threadwise output
+        threadwise_matrix_set_zero(c_k0k2_n1n2_thread_mtx_desc, p_out_thread);
+
+        // LDS double buffer: preload data into LDS
+        {
+            blockwise_in_copy.Run(p_in_global, p_in_block_double);
+            blockwise_wei_copy.Run(p_wei_global, p_wei_block_double);
+        }
+
+        // LDS double buffer: main body
+        for(index_t e_block_data_begin = 0; e_block_data_begin + 2 * EPerBlock < E;
+            e_block_data_begin += 2 * EPerBlock)
+        {
+#pragma unroll
+            for(index_t iloop = 0; iloop < 2; ++iloop)
+            {
+                const bool even_loop = (iloop % 2 == 0);
+
+                Float* p_in_block_now =
+                    even_loop ? p_in_block_double : p_in_block_double + in_block_space;
+                Float* p_wei_block_now =
+                    even_loop ? p_wei_block_double : p_wei_block_double + wei_block_space;
+
+                Float* p_in_block_next =
+                    even_loop ? p_in_block_double + in_block_space : p_in_block_double;
+                Float* p_wei_block_next =
+                    even_loop ? p_wei_block_double + wei_block_space : p_wei_block_double;
+
+                Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
+                Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
+
+                blockwise_in_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0, 0, 0>{}, True);
+                blockwise_wei_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+
+                __syncthreads();
+
+                // LDS doubel buffer: load next data from device mem
+                blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
+                blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_global, p_wei_register_buffer);
+
+                // LDS double buffer: GEMM on current data
+                blockwise_gemm.Run(p_wei_block_now, p_in_block_now, p_out_thread);
+
+                // LDS double buffer: store next data to LDS
+                blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer, p_in_block_next);
+                blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer, p_wei_block_next);
+            }
+        }
+
+        // LDS double buffer: tail
+        {
+            // even iteration
+            Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
+            Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
+
+            blockwise_in_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0, 0, 0>{}, True);
+            blockwise_wei_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+
+            __syncthreads();
+
+            // LDS doubel buffer: load next data from device mem
+            blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
+            blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_global, p_wei_register_buffer);
+
+            // LDS double buffer: GEMM on current data
+            blockwise_gemm.Run(p_wei_block_double, p_in_block_double, p_out_thread);
+
+            // LDS double buffer: store next data to LDS
+            blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer,
+                                                     p_in_block_double + in_block_space);
+            blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer,
+                                                      p_wei_block_double + wei_block_space);
+
+            // odd iteration
+            __syncthreads();
+
+            // LDS double buffer: GEMM on current data
+            blockwise_gemm.Run(p_wei_block_double + wei_block_space,
+                               p_in_block_double + in_block_space,
+                               p_out_thread);
+        }
+
+        // copy output: register to global memory
+        {
+            constexpr index_t K2 = GemmMPerThreadSubC;
+            constexpr index_t K1 = GemmMLevel0Cluster * GemmMLevel1Cluster;
+
+            static_assert(K % (K1 * K2) == 0, "wrong!");
+
+            // define tensor descriptor for threadwise copy
+            //     output memory layout descriptor in register
+            constexpr auto out_k0_k1_k2_n1_n0_ho_wo_n2_thread_desc =
+                make_native_tensor_descriptor_packed(
+                    Sequence<KPerBlock / (K1 * K2), 1, K2, N1, 1, 1, 1, N2>{});
+
+            //     output tensor descriptor in register, src of threadwise copy
+            constexpr auto out_n0_n1_n2_k0_k1_k2_ho_wo_thread_desc =
+                reorder_tensor_descriptor_given_upper2lower(out_k0_k1_k2_n1_n0_ho_wo_n2_thread_desc,
+                                                            Sequence<4, 3, 7, 0, 1, 2, 5, 6>{});
+
+            //     output memory layout descriptor in device memory, dst of threadwise copy
+            constexpr auto out_n0_n1_n2_k0_k1_k2_ho_wo_global_desc = transform_tensor_descriptor(
+                out_n_k_ho_wo_global_desc,
+                make_tuple(Unmerge<Sequence<N / (N1 * N2), N1, N2>>{},
+                           Unmerge<Sequence<K / (K1 * K2), K1, K2>>{},
+                           PassThrough<Ho>{},
+                           PassThrough<Wo>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+                make_tuple(Sequence<0, 1, 2>{}, Sequence<3, 4, 5>{}, Sequence<6>{}, Sequence<7>{}));
+
+            // calculate origin of thread output tensor on global memory
+            //     blockwise GEMM c matrix starting index
+            const auto c_thread_mtx_on_block =
+                blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
+
+            const index_t k_thread_data_on_global =
+                k_block_data_on_global + c_thread_mtx_on_block.row;
+
+            const index_t b_thread_data_on_global =
+                b_block_data_on_global + c_thread_mtx_on_block.col / N2;
+
+            //     output merged global tensor descriptor, for calculating origin of thread tensor
+            //     in global memory
+            constexpr auto out_n0_n1_n2_k_ho_wo_global_desc = transform_tensor_descriptor(
+                out_n_k_ho_wo_global_desc,
+                make_tuple(Unmerge<Sequence<N / (N1 * N2), N1, N2>>{},
+                           PassThrough<K>{},
+                           PassThrough<Ho>{},
+                           PassThrough<Wo>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+                make_tuple(Sequence<0, 1, 2>{}, Sequence<3>{}, Sequence<4>{}, Sequence<5>{}));
+
+            constexpr auto out_k_n1_b_n2_global_desc = transform_tensor_descriptor(
+                out_n0_n1_n2_k_ho_wo_global_desc,
+                make_tuple(PassThrough<K>{},
+                           PassThrough<N1>{},
+                           Merge<Sequence<N0, Ho, Wo>>{},
+                           PassThrough<N2>{}),
+                make_tuple(Sequence<3>{}, Sequence<1>{}, Sequence<0, 4, 5>{}, Sequence<2>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
+
+            //     origin of dst in device memory
+            Float* p_out_thread_on_global =
+                p_out_global +
+                out_k_n1_b_n2_global_desc.CalculateOffset(
+                    {k_thread_data_on_global, 0, b_thread_data_on_global, 0});
+
+            ThreadwiseGenericTensorSliceCopy_v4r2<
+                decltype(out_n0_n1_n2_k0_k1_k2_ho_wo_thread_desc),
+                decltype(out_n0_n1_n2_k0_k1_k2_ho_wo_global_desc),
+                decltype(out_n0_n1_n2_k0_k1_k2_ho_wo_thread_desc.GetLengths()),
+                arithmetic_sequence_gen<0, 8, 1>::type,
+                7,
+                1,
+                1>({0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0})
+                .Run(p_out_thread, p_out_thread_on_global);
+        }
+    }
+};
+
+} // namespace ck
+#endif

composable_kernel/include/kernel_algorithm/gridwise_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_padded_lds_double_buffer.hpp

+#ifndef CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R4_NCHW_KCYX_NKHW_PADDED_LDS_DOUBLE_BUFFER_HPP
+#define CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R4_NCHW_KCYX_NKHW_PADDED_LDS_DOUBLE_BUFFER_HPP
+
+#include "common_header.hpp"
+#include "ConstantTensorDescriptor.hpp"
+#include "ConstantMergedTensorDescriptor.hpp"
+#include "ConstantMatrixDescriptor.hpp"
+#include "blockwise_generic_tensor_slice_copy.hpp"
+#include "blockwise_gemm.hpp"
+#include "threadwise_generic_tensor_slice_copy.hpp"
+
+namespace ck {
+
+// B = merge(N, Ho, Wo)
+template <index_t GridSize,
+          index_t BlockSize,
+          typename Float,
+          typename InGlobalDesc,
+          typename WeiGlobalDesc,
+          typename OutGlobalDesc,
+          typename ConvStrides,
+          typename ConvDilations,
+          typename LeftPads,
+          typename RightPads,
+          index_t BPerBlock,
+          index_t KPerBlock,
+          index_t EPerBlock,
+          index_t GemmMPerThreadSubC,
+          index_t GemmNPerThreadSubC,
+          index_t GemmMLevel0Cluster,
+          index_t GemmNLevel0Cluster,
+          index_t GemmMLevel1Cluster,
+          index_t GemmNLevel1Cluster,
+          index_t GemmKPerThreadLoop,
+          index_t GemmDataPerReadA,
+          index_t GemmDataPerReadB,
+          typename InBlockCopySubLengths_E_B,
+          typename InBlockCopyClusterLengths_E_B,
+          typename InBlockCopyThreadClusterArrangeOrder,
+          typename InBlockCopySrcAccessOrder,
+          typename InBlockCopyDstAccessOrder,
+          index_t InBlockCopyDataPerAccess_B,
+          typename WeiBlockCopySubLengths_E_K,
+          typename WeiBlockCopyClusterLengths_E_K,
+          typename WeiBlockCopyThreadClusterArrangeOrder,
+          typename WeiBlockCopySrcAccessOrder,
+          typename WeiBlockCopyDstAccessOrder,
+          index_t WeiBlockCopySrcDataPerRead_E,
+          index_t WeiBlockCopyDstDataPerWrite_K,
+          index_t OutThreadCopyDataPerAccess_B>
+struct GridwiseConvolutionImplicitGemm_v4r4_nchw_kcyx_nkhw_padded_lds_double_buffer
+{
+    __device__ void Run(const Float* const __restrict__ p_in_global,
+                        const Float* const __restrict__ p_wei_global,
+                        Float* const __restrict__ p_out_global) const
+    {
+        constexpr auto I0 = Number<0>{};
+        constexpr auto I1 = Number<1>{};
+        constexpr auto I2 = Number<2>{};
+        constexpr auto I3 = Number<3>{};
+
+        constexpr auto True = integral_constant<bool, true>{};
+
+        constexpr auto in_n_c_hi_wi_global_desc =
+            make_native_tensor_descriptor(InGlobalDesc::GetLengths(), InGlobalDesc::GetStrides());
+        constexpr auto wei_k_c_y_x_global_desc =
+            make_native_tensor_descriptor(WeiGlobalDesc::GetLengths(), WeiGlobalDesc::GetStrides());
+        constexpr auto out_n_k_ho_wo_global_desc =
+            make_native_tensor_descriptor(OutGlobalDesc::GetLengths(), OutGlobalDesc::GetStrides());
+
+        constexpr index_t N  = in_n_c_hi_wi_global_desc.GetLength(I0);
+        constexpr index_t C  = in_n_c_hi_wi_global_desc.GetLength(I1);
+        constexpr index_t Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
+        constexpr index_t Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
+
+        constexpr index_t K  = out_n_k_ho_wo_global_desc.GetLength(I1);
+        constexpr index_t Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
+        constexpr index_t Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
+
+        constexpr index_t Y = wei_k_c_y_x_global_desc.GetLength(I2);
+        constexpr index_t X = wei_k_c_y_x_global_desc.GetLength(I3);
+
+        constexpr index_t ConvStrideH = ConvStrides{}[0];
+        constexpr index_t ConvStrideW = ConvStrides{}[1];
+
+        constexpr index_t ConvDilationH = ConvDilations{}[0];
+        constexpr index_t ConvDilationW = ConvDilations{}[1];
+
+        constexpr index_t E = C * Y * X;
+        constexpr index_t B = N * Ho * Wo;
+
+        // sanity-check for vectorized memory load
+        static_assert((Ho == 1 || ConvStrideW % InBlockCopyDataPerAccess_B == 0) &&
+                          (X == 1 || ConvDilationW % InBlockCopyDataPerAccess_B == 0),
+                      "wrong! aligment requirement for vectorized global load of input tensor will "
+                      "be violated");
+
+        // divide block work by [K, B]
+        static_assert(K % KPerBlock == 0 && B % BPerBlock == 0 && E % EPerBlock == 0,
+                      "wrong! cannot divide work evenly among block");
+
+        constexpr index_t KBlockWork = K / KPerBlock;
+        constexpr index_t BBlockWork = B / BPerBlock;
+
+        constexpr auto block_work_desc =
+            make_ConstantTensorDescriptor_packed(Sequence<KBlockWork, BBlockWork>{});
+
+        const auto block_work_multi_id =
+            block_work_desc.GetMultiIndexFrom1dIndex(get_block_1d_id());
+
+        const index_t k_block_data_on_global = block_work_multi_id[0] * KPerBlock;
+        const index_t b_block_data_on_global = block_work_multi_id[1] * BPerBlock;
+
+        // input tensor
+        //   global mem
+        constexpr auto in_n_c_hip_wip_global_desc = transform_tensor_descriptor(
+            in_n_c_hi_wi_global_desc,
+            make_tuple(
+                PassThrough<N>{}, PassThrough<C>{}, Pad<Sequence<Hi, Wi>, LeftPads, RightPads>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}));
+
+        constexpr auto in_n_c_y_ho_x_wo_global_desc = transform_tensor_descriptor(
+            in_n_c_hip_wip_global_desc,
+            make_tuple(PassThrough<N>{},
+                       PassThrough<C>{},
+                       Embed<Sequence<Y, Ho>, Sequence<ConvDilationH, ConvStrideH, 0>>{},
+                       Embed<Sequence<X, Wo>, Sequence<ConvDilationW, ConvStrideW, 0>>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
+
+        constexpr auto in_e_b_global_desc = transform_tensor_descriptor(
+            in_n_c_y_ho_x_wo_global_desc,
+            make_tuple(Merge<Sequence<C, Y, X>>{}, Merge<Sequence<N, Ho, Wo>>{}),
+            make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+        //   LDS mem
+        //     be careful of LDS alignment
+        constexpr auto in_e_b_block_desc =
+            make_native_tensor_descriptor_packed(Sequence<EPerBlock, BPerBlock>{});
+
+        // input blockwise copy
+        auto blockwise_in_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(in_e_b_global_desc),
+                                               decltype(in_e_b_block_desc),
+                                               decltype(in_e_b_block_desc.GetLengths()),
+                                               InBlockCopySubLengths_E_B,
+                                               InBlockCopyClusterLengths_E_B,
+                                               InBlockCopyThreadClusterArrangeOrder,
+                                               InBlockCopySrcAccessOrder,
+                                               InBlockCopyDstAccessOrder,
+                                               1,
+                                               1,
+                                               InBlockCopyDataPerAccess_B,
+                                               InBlockCopyDataPerAccess_B>(
+                {0, b_block_data_on_global}, {0, 0});
+
+        // weight tensor
+        //   global mem
+        constexpr auto wei_e_k_global_desc =
+            transform_tensor_descriptor(wei_k_c_y_x_global_desc,
+                                        make_tuple(Merge<Sequence<C, Y, X>>{}, PassThrough<K>{}),
+                                        make_tuple(Sequence<1, 2, 3>{}, Sequence<0>{}),
+                                        make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+        //   LDS
+        //     be careful of LDS alignment
+        constexpr auto wei_e_k_block_desc = make_native_tensor_descriptor_aligned(
+            Sequence<EPerBlock, KPerBlock>{},
+            Number<math::lcm(WeiBlockCopyDstDataPerWrite_K, GemmDataPerReadA)>{});
+
+        // weight blockwise copy
+        auto blockwise_wei_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(wei_e_k_global_desc),
+                                               decltype(wei_e_k_block_desc),
+                                               decltype(wei_e_k_block_desc.GetLengths()),
+                                               WeiBlockCopySubLengths_E_K,
+                                               WeiBlockCopyClusterLengths_E_K,
+                                               WeiBlockCopyThreadClusterArrangeOrder,
+                                               WeiBlockCopySrcAccessOrder,
+                                               WeiBlockCopyDstAccessOrder,
+                                               0,
+                                               1,
+                                               WeiBlockCopySrcDataPerRead_E,
+                                               WeiBlockCopyDstDataPerWrite_K>(
+                {0, k_block_data_on_global}, {0, 0});
+
+        // GEMM definition
+        // c_mtx += transpose(a_mtx) * b_mtx
+        //     a_mtx[EPerBlock, KPerBlock] is in LDS
+        //     b_mtx[EPerBlocl, BPerBlock] is in LDS
+        //     c_mtx[KPerBlock, BPerBlock] is distributed among threads, and saved in
+        //     register
+        constexpr auto a_e_k_block_mtx_desc = make_ConstantMatrixDescriptor(wei_e_k_block_desc);
+
+        constexpr auto b_e_b_block_mtx_desc = make_ConstantMatrixDescriptor(in_e_b_block_desc);
+
+        // sanity check
+        static_assert(
+            KPerBlock % (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster) == 0 &&
+                BPerBlock % (GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster) == 0,
+            "wrong!");
+
+        constexpr index_t GemmMRepeat =
+            KPerBlock / (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster);
+
+        constexpr index_t GemmNRepeat =
+            BPerBlock / (GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster);
+
+        // c_thread_mtx definition: this is a mess
+        // TODO:: more elegent way of defining c_thread_mtx
+        constexpr auto c_k0k1_b0b1_thread_mtx_desc = make_ConstantMatrixDescriptor_packed(
+            Number<GemmMRepeat * GemmMPerThreadSubC>{}, Number<GemmNRepeat * GemmNPerThreadSubC>{});
+
+        const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<
+            BlockSize,
+            decltype(a_e_k_block_mtx_desc),
+            decltype(b_e_b_block_mtx_desc),
+            decltype(c_k0k1_b0b1_thread_mtx_desc),
+            GemmMPerThreadSubC,
+            GemmNPerThreadSubC,
+            GemmMLevel0Cluster,
+            GemmNLevel0Cluster,
+            GemmMLevel1Cluster,
+            GemmNLevel1Cluster,
+            GemmKPerThreadLoop,
+            GemmDataPerReadA,
+            GemmDataPerReadB>{};
+
+        // LDS allocation for input and weight: be careful of alignment
+        constexpr index_t max_align = math::lcm(InBlockCopyDataPerAccess_B,
+                                                WeiBlockCopyDstDataPerWrite_K,
+                                                GemmDataPerReadA,
+                                                GemmDataPerReadB);
+
+        constexpr index_t in_block_space =
+            math::integer_least_multiple(in_e_b_block_desc.GetElementSpace(), max_align);
+
+        constexpr index_t wei_block_space =
+            math::integer_least_multiple(wei_e_k_block_desc.GetElementSpace(), max_align);
+
+        __shared__ Float p_in_block_double[2 * in_block_space];
+        __shared__ Float p_wei_block_double[2 * wei_block_space];
+
+        // register allocation for output
+        Float p_out_thread[c_k0k1_b0b1_thread_mtx_desc.GetElementSpace()];
+
+        // zero out threadwise output
+        threadwise_matrix_set_zero(c_k0k1_b0b1_thread_mtx_desc, p_out_thread);
+
+        // LDS double buffer: preload data into LDS
+        {
+            blockwise_in_copy.Run(p_in_global, p_in_block_double);
+            blockwise_wei_copy.Run(p_wei_global, p_wei_block_double);
+        }
+
+        // LDS double buffer: main body
+        for(index_t e_block_data_begin = 0; e_block_data_begin + 2 * EPerBlock < E;
+            e_block_data_begin += 2 * EPerBlock)
+        {
+#pragma unroll
+            for(index_t iloop = 0; iloop < 2; ++iloop)
+            {
+                const bool even_loop = (iloop % 2 == 0);
+
+                Float* p_in_block_now =
+                    even_loop ? p_in_block_double : p_in_block_double + in_block_space;
+                Float* p_wei_block_now =
+                    even_loop ? p_wei_block_double : p_wei_block_double + wei_block_space;
+
+                Float* p_in_block_next =
+                    even_loop ? p_in_block_double + in_block_space : p_in_block_double;
+                Float* p_wei_block_next =
+                    even_loop ? p_wei_block_double + wei_block_space : p_wei_block_double;
+
+                Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
+                Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
+
+                blockwise_in_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+                blockwise_wei_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+
+                __syncthreads();
+
+                // LDS doubel buffer: load next data from device mem
+                blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
+                blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_global, p_wei_register_buffer);
+
+                // LDS double buffer: GEMM on current data
+                blockwise_gemm.Run(p_wei_block_now, p_in_block_now, p_out_thread);
+
+                // LDS double buffer: store next data to LDS
+                blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer, p_in_block_next);
+                blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer, p_wei_block_next);
+            }
+        }
+
+        // LDS double buffer: tail
+        {
+            Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
+            Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
+
+            // even iteration
+            blockwise_in_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+            blockwise_wei_copy.MoveSrcSliceWindow(Sequence<EPerBlock, 0>{}, True);
+
+            __syncthreads();
+
+            // LDS doubel buffer: load next data from device mem
+            blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
+            blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_global, p_wei_register_buffer);
+
+            // LDS double buffer: GEMM on current data
+            blockwise_gemm.Run(p_wei_block_double, p_in_block_double, p_out_thread);
+
+            // LDS double buffer: store next data to LDS
+            blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer,
+                                                     p_in_block_double + in_block_space);
+            blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer,
+                                                      p_wei_block_double + wei_block_space);
+
+            // odd iteration
+            __syncthreads();
+
+            // LDS double buffer: GEMM on current data
+            blockwise_gemm.Run(p_wei_block_double + wei_block_space,
+                               p_in_block_double + in_block_space,
+                               p_out_thread);
+        }
+
+        // copy output: register to global memory
+        {
+            // calculate origin of thread output tensor on global memory
+            //     blockwise GEMM c matrix starting index
+            const auto c_thread_mtx_on_block =
+                blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
+
+            const index_t k_thread_data_on_global =
+                k_block_data_on_global + c_thread_mtx_on_block.row;
+
+            const index_t b_thread_data_on_global =
+                b_block_data_on_global + c_thread_mtx_on_block.col;
+
+            // src descriptor
+            constexpr auto out_k0_k1_b0_b1_thread_desc = make_native_tensor_descriptor_packed(
+                Sequence<GemmMRepeat, GemmMPerThreadSubC, GemmNRepeat, GemmNPerThreadSubC>{});
+
+            // dst descriptor
+            constexpr index_t K1 = GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster;
+            constexpr index_t B1 = GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster;
+
+            constexpr index_t K0 = K / K1;
+            constexpr index_t B0 = B / B1;
+
+            constexpr auto out_k_b_global_desc = transform_tensor_descriptor(
+                out_n_k_ho_wo_global_desc,
+                make_tuple(PassThrough<K>{}, Merge<Sequence<N, Ho, Wo>>{}),
+                make_tuple(Sequence<1>{}, Sequence<0, 2, 3>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}));
+
+            constexpr auto out_k0_k1_b0_b1_global_desc = transform_tensor_descriptor(
+                out_k_b_global_desc,
+                make_tuple(Unmerge<Sequence<K0, K1>>{}, Unmerge<Sequence<B0, B1>>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}),
+                make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));
+
+            // output threadwise copy
+            auto threadwise_out_copy = ThreadwiseGenericTensorSliceCopy_v4r2<
+                decltype(out_k0_k1_b0_b1_thread_desc),
+                decltype(out_k0_k1_b0_b1_global_desc),
+                decltype(out_k0_k1_b0_b1_thread_desc.GetLengths()),
+                arithmetic_sequence_gen<0, 4, 1>::type,
+                3,
+                OutThreadCopyDataPerAccess_B,
+                OutThreadCopyDataPerAccess_B>({0, 0, 0, 0},
+                                              {k_thread_data_on_global / K1,
+                                               k_thread_data_on_global % K1,
+                                               b_thread_data_on_global / B1,
+                                               b_thread_data_on_global % B1});
+
+            threadwise_out_copy.Run(p_out_thread, p_out_global);
+        }
+    }
+};
+
+} // namespace ck
+#endif

driver/src/driver.cpp

@@ -399,7 +399,7 @@ int main(int argc, char* argv[])
                                                          ConvStrides{},
                                                          ConvDilations{},
                                                          nrepeat);
-#elif 0
+#elif 1
     device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_padded(in_nchw_desc,
                                                                 in_nchw,
                                                                 wei_kcyx_desc,