adding bwd data

composable_kernel/include/kernel_algorithm/gridwise_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw_lds_double_buffer.hpp

@@ -22,8 +22,8 @@ template <index_t GridSize,
           typename ConvDilations,
           typename LeftPads,
           typename RightPads,
-          index_t EPerBlock,
           index_t BPerBlock,
+          index_t EPerBlock,
           index_t KPerBlock,
           index_t GemmMPerThreadSubC,
           index_t GemmNPerThreadSubC,

composable_kernel/include/kernel_algorithm/gridwise_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw_lds_double_buffer.hpp

+#ifndef CK_GRIDWISE_CONVOLUTION_BACKWARD_DATA_IMPLICIT_GEMM_V4R5_NCHW_KCYX_NKHW_LDS_DOUBLE_BUFFER_HPP
+#define CK_GRIDWISE_CONVOLUTION_BACKWARD_DATA_IMPLICIT_GEMM_V4R5_NCHW_KCYX_NKHW_LDS_DOUBLE_BUFFER_HPP
+
+#include "common_header.hpp"
+#include "tensor_descriptor.hpp"
+#include "tensor_descriptor_helper.hpp"
+#include "ConstantMatrixDescriptor.hpp"
+#include "blockwise_generic_tensor_slice_copy.hpp"
+#include "threadwise_generic_tensor_slice_copy.hpp"
+#include "blockwise_gemm.hpp"
+
+namespace ck {
+
+template <index_t GridSize,
+          index_t BlockSize,
+          typename Float,
+          typename AccFloat,
+          typename InGlobalDesc,
+          typename WeiGlobalDesc,
+          typename OutGlobalDesc,
+          typename ConvStrides,
+          typename ConvDilations,
+          typename LeftPads,
+          typename RightPads,
+          index_t BPerBlock,
+          index_t EPerBlock,
+          index_t KPerBlock,
+          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 OutBlockCopySubLengths_K_B_N0,
+          typename OutBlockCopyClusterLengths_K_B_N0,
+          index_t OutBlockCopySrcDataPerRead_B,
+          index_t OutBlockCopyDstDataPerWrite_N0,
+          typename WeiBlockCopySubLengths_K_E_C0,
+          typename WeiBlockCopyClusterLengths_K_E_C0,
+          index_t WeiBlockCopySrcDataPerRead_E,
+          index_t WeiBlockCopyDstDataPerWrite_C0,
+          index_t InThreadCopyDstDataPerWrite_B>
+struct GridwiseConvolutionBackwardDataImplicitGemm_v4r5_nchw_kcyx_nkhw_lds_double_buffer
+{
+    __device__ void Run(Float* const __restrict__ p_in_global,
+                        const Float* const __restrict__ p_wei_global,
+                        const 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  = InGlobalDesc{};
+        constexpr auto wei_k_c_y_x_global_desc   = WeiGlobalDesc{};
+        constexpr auto out_n_k_ho_wo_global_desc = OutGlobalDesc{};
+
+        constexpr index_t N  = in_n_c_hi_wi_global_desc.GetLengths()[0];
+        constexpr index_t C  = in_n_c_hi_wi_global_desc.GetLengths()[1];
+        constexpr index_t Hi = in_n_c_hi_wi_global_desc.GetLengths()[2];
+        constexpr index_t Wi = in_n_c_hi_wi_global_desc.GetLengths()[3];
+
+        constexpr index_t K  = out_n_k_ho_wo_global_desc.GetLengths()[1];
+        constexpr index_t Ho = out_n_k_ho_wo_global_desc.GetLengths()[2];
+        constexpr index_t Wo = out_n_k_ho_wo_global_desc.GetLengths()[3];
+
+        constexpr index_t Y = wei_k_c_y_x_global_desc.GetLengths()[2];
+        constexpr index_t X = wei_k_c_y_x_global_desc.GetLengths()[3];
+
+        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 C0 = GemmMPerThreadSubC;
+        constexpr index_t N0 = GemmNPerThreadSubC;
+
+        static_assert(C % C0 == 0 && N % N0 == 0, "wrong!");
+
+        constexpr index_t C1 = C / C0;
+        constexpr index_t N1 = N / N0;
+
+        constexpr index_t E = C1 * Y * X;
+        constexpr index_t B = N1 * Ho * Wo;
+
+        // sanity-check for vectorized memory load
+        static_assert((Wo == 1 || (ConvStrideW == 1 || InThreadCopyDstDataPerWrite_B == 1)) &&
+                          (X == 1 || ConvDilationW % InThreadCopyDstDataPerWrite_B == 0),
+                      "wrong! aligment requirement for vectorized global load of input tensor will "
+                      "be violated");
+
+        // divide block work by [K, B]
+        static_assert(E % EPerBlock == 0 && B % BPerBlock == 0 && K % KPerBlock == 0,
+                      "wrong! cannot divide work evenly among block");
+
+        constexpr index_t EBlockWork = E / EPerBlock;
+        constexpr index_t BBlockWork = B / BPerBlock;
+
+        constexpr auto block_work_desc =
+            make_cluster_descriptor(Sequence<EBlockWork, BBlockWork>{});
+
+        const auto block_work_id = block_work_desc.CalculateClusterIndex(get_block_1d_id());
+
+        const index_t e_block_data_on_global = block_work_id[0] * EPerBlock;
+        const index_t b_block_data_on_global = block_work_id[1] * BPerBlock;
+
+        // output tensor
+        //     global tensor in global memory, src of blockwise copy
+        constexpr auto out_n_k_howo_global_desc =
+            unfold_tensor_descriptor(out_n_k_ho_wo_global_desc, I2, I3);
+
+        constexpr auto out_n0_n1_k_howo_global_desc = transform_tensor_descriptor(
+            out_n_k_howo_global_desc,
+            make_tuple(UnMerge<Sequence<N0, N1>>{}, PassThrough<K>{}, PassThrough<Ho * Wo>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}),
+            make_tuple(Sequence<0, 1>{}, Sequence<2>{}, Sequence<3>{}));
+
+        constexpr auto out_k_b_n0_global_desc = transform_tensor_descriptor(
+            out_n0_n1_k_howo_global_desc,
+            make_tuple(PassThrough<K>{}, Merge<Sequence<N1, Ho * Wo>>{}, PassThrough<N0>{}),
+            make_tuple(Sequence<2>{}, Sequence<1, 3>{}, Sequence<0>{}),
+            make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}));
+
+        //     block tensor in LDS memory, dst of blockwise copy
+        //     be careful of LDS alignment
+        constexpr auto out_k_b_n0_block_desc = make_native_tensor_descriptor_aligned(
+            Sequence<KPerBlock, BPerBlock, N0>{}, Number<OutBlockCopyDstDataPerWrite_N0>{});
+
+        // output tensor blockwise copy
+        auto blockwise_out_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(out_k_b_n0_global_desc),
+                                               decltype(out_k_b_n0_block_desc),
+                                               decltype(out_k_b_n0_block_desc.GetLengths()),
+                                               OutBlockCopySubLengths_K_B_N0,
+                                               OutBlockCopyClusterLengths_K_B_N0,
+                                               Sequence<0, 1, 2>,
+                                               Sequence<0, 1, 2>,
+                                               Sequence<0, 1, 2>,
+                                               1,
+                                               2,
+                                               OutBlockCopySrcDataPerRead_B,
+                                               OutBlockCopyDstDataPerWrite_N0,
+                                               AddressSpace::global,
+                                               AddressSpace::vgpr,
+                                               AddressSpace::lds,
+                                               InMemoryDataOperation::none>(
+                {0, b_block_data_on_global, 0}, {0, 0, 0});
+
+        // weight tensor
+        //     global tensor in global memory, src of blockwise copy
+        constexpr auto wei_k_cyx_global_desc =
+            unfold_tensor_descriptor(wei_k_c_y_x_global_desc, I1, I3);
+
+        constexpr auto wei_k_c0_e_global_desc =
+            transform_tensor_descriptor(wei_k_cyx_global_desc,
+                                        make_tuple(PassThrough<K>{}, UnMerge<Sequence<C0, E>>{}),
+                                        make_tuple(Sequence<0>{}, Sequence<1>{}),
+                                        make_tuple(Sequence<0>{}, Sequence<1, 2>{}));
+
+        constexpr auto wei_k_e_c0_global_desc = reorder_tensor_descriptor_given_lower2upper(
+            wei_k_c0_e_global_desc, Sequence<0, 2, 1>{});
+
+        //     block tensor in LDS memory, dst of blockwise copy
+        //     be careful of LDS alignment
+        constexpr auto wei_k_e_c0_block_desc = make_native_tensor_descriptor_aligned(
+            Sequence<KPerBlock, EPerBlock, C0>{}, Number<WeiBlockCopyDstDataPerWrite_C0>{});
+
+        // weight tensor blockwise copy
+        auto blockwise_wei_copy =
+            BlockwiseGenericTensorSliceCopy_v4<BlockSize,
+                                               decltype(wei_k_e_c0_global_desc),
+                                               decltype(wei_k_e_c0_block_desc),
+                                               decltype(wei_k_e_c0_block_desc.GetLengths()),
+                                               WeiBlockCopySubLengths_K_E_C0,
+                                               WeiBlockCopyClusterLengths_K_E_C0,
+                                               Sequence<0, 1, 2>,
+                                               Sequence<0, 1, 2>,
+                                               Sequence<0, 1, 2>,
+                                               1,
+                                               2,
+                                               WeiBlockCopySrcDataPerRead_E,
+                                               WeiBlockCopyDstDataPerWrite_C0,
+                                               AddressSpace::global,
+                                               AddressSpace::vgpr,
+                                               AddressSpace::lds,
+                                               InMemoryDataOperation::none>(
+                {0, e_block_data_on_global, 0}, {0, 0, 0});
+
+        // GEMM definition
+        //   c_mtx += transpose(a_mtx) * b_mtx
+        //     a_mtx[KPerBlock, EPerBlock*C0] is in LDS
+        //     b_mtx[KPerBlocl, BPerBlock*N0] is in LDS
+        //     c_mtx[EPerBlock*C0, BPerBlock*N0] is distributed among threads, and saved in
+        //       register
+        constexpr auto a_k_ec0_block_mtx_desc = make_ConstantMatrixDescriptor(
+            wei_k_e_c0_block_desc.GetLength(I0),
+            wei_k_e_c0_block_desc.GetLength(I1) * wei_k_e_c0_block_desc.GetLength(I2),
+            wei_k_e_c0_block_desc.GetStride(I0));
+        constexpr auto b_k_bn0_block_mtx_desc = make_ConstantMatrixDescriptor(
+            out_k_b_n0_block_desc.GetLength(I0),
+            out_k_b_n0_block_desc.GetLength(I1) * out_k_b_n0_block_desc.GetLength(I2),
+            out_k_b_n0_block_desc.GetStride(I0));
+
+        // sanity check alignment
+        // TODO: this check is ad-hoc, should enforce it by enforcing alignment of
+        //   wei_k_e_c0_block_desc and out_k_b_n0_block_desc
+        static_assert(a_k_ec0_block_mtx_desc.RowStride() % GemmDataPerReadB == 0, "wrong!");
+        static_assert(b_k_bn0_block_mtx_desc.RowStride() % GemmDataPerReadA == 0, "wrong!");
+
+        // sanity check
+        static_assert(EPerBlock % (GemmMLevel0Cluster * GemmMLevel1Cluster) == 0 &&
+                          BPerBlock % (GemmNLevel0Cluster * GemmNLevel1Cluster) == 0,
+                      "wrong!");
+
+        constexpr index_t GemmMRepeat = EPerBlock / (GemmMLevel0Cluster * GemmMLevel1Cluster);
+        constexpr index_t GemmNRepeat = BPerBlock / (GemmNLevel0Cluster * GemmNLevel1Cluster);
+
+        // c_thread_mtx definition: this is a mess
+        // TODO:: more elegent way of defining c_thread_mtx
+        constexpr auto c_e0e1c0_b0b1n0_thread_mtx_desc = make_ConstantMatrixDescriptor_packed(
+            Number<GemmMRepeat * GemmMPerThreadSubC>{}, Number<GemmNRepeat * GemmNPerThreadSubC>{});
+
+        const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<
+            BlockSize,
+            decltype(a_k_ec0_block_mtx_desc),
+            decltype(b_k_bn0_block_mtx_desc),
+            decltype(c_e0e1c0_b0b1n0_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_lds_align = math::lcm(WeiBlockCopyDstDataPerWrite_C0,
+                                                    OutBlockCopyDstDataPerWrite_N0,
+                                                    GemmDataPerReadA,
+                                                    GemmDataPerReadB);
+
+        constexpr index_t out_block_space =
+            math::integer_least_multiple(out_k_b_n0_block_desc.GetElementSpace(), max_lds_align);
+
+        constexpr index_t wei_block_space =
+            math::integer_least_multiple(wei_k_e_c0_block_desc.GetElementSpace(), max_lds_align);
+
+        __shared__ Float p_out_block_double[2 * out_block_space];
+        __shared__ Float p_wei_block_double[2 * wei_block_space];
+
+        // register allocation for output
+        AccFloat p_in_thread[c_e0e1c0_b0b1n0_thread_mtx_desc.GetElementSpace()];
+
+        // zero out threadwise output
+        threadwise_matrix_set_zero(c_e0e1c0_b0b1n0_thread_mtx_desc, p_in_thread);
+
+        // LDS double buffer: preload data into LDS
+        {
+            blockwise_out_copy.Run(p_out_global, p_out_block_double);
+            blockwise_wei_copy.Run(p_wei_global, p_wei_block_double);
+        }
+
+        // LDS double buffer: main body
+        for(index_t k_block_data_begin = 0; k_block_data_begin + 2 * KPerBlock < K;
+            k_block_data_begin += 2 * KPerBlock)
+        {
+#pragma unroll
+            for(index_t iloop = 0; iloop < 2; ++iloop)
+            {
+                const bool even_loop = (iloop % 2 == 0);
+
+                Float* p_out_block_now =
+                    even_loop ? p_out_block_double : p_out_block_double + out_block_space;
+                Float* p_wei_block_now =
+                    even_loop ? p_wei_block_double : p_wei_block_double + wei_block_space;
+
+                Float* p_out_block_next =
+                    even_loop ? p_out_block_double + out_block_space : p_out_block_double;
+                Float* p_wei_block_next =
+                    even_loop ? p_wei_block_double + wei_block_space : p_wei_block_double;
+
+                Float p_out_thread_buffer[blockwise_out_copy.GetThreadBufferSize()];
+                Float p_wei_thread_buffer[blockwise_wei_copy.GetThreadBufferSize()];
+
+                blockwise_out_copy.MoveSrcSliceWindow(Sequence<KPerBlock, 0, 0>{}, True);
+                blockwise_wei_copy.MoveSrcSliceWindow(Sequence<KPerBlock, 0, 0>{}, True);
+
+                __syncthreads();
+
+                // LDS doubel buffer: load next data from device mem
+                blockwise_out_copy.RunLoadThreadBuffer(p_out_global, p_out_thread_buffer);
+                blockwise_wei_copy.RunLoadThreadBuffer(p_wei_global, p_wei_thread_buffer);
+
+                // LDS double buffer: GEMM on current data
+                blockwise_gemm.Run(p_wei_block_now, p_out_block_now, p_in_thread);
+
+                // LDS double buffer: store next data to LDS
+                blockwise_out_copy.RunStoreThreadBuffer(p_out_thread_buffer, p_out_block_next);
+                blockwise_wei_copy.RunStoreThreadBuffer(p_wei_thread_buffer, p_wei_block_next);
+            }
+        }
+
+        // LDS double buffer: tail
+        {
+            constexpr bool has_two_iteration_left = (K % (2 * KPerBlock) == 0);
+
+            if(has_two_iteration_left) // if has 2 iteration left
+            {
+                Float p_out_thread_buffer[blockwise_out_copy.GetThreadBufferSize()];
+                Float p_wei_thread_buffer[blockwise_wei_copy.GetThreadBufferSize()];
+
+                blockwise_out_copy.MoveSrcSliceWindow(Sequence<KPerBlock, 0, 0>{}, True);
+                blockwise_wei_copy.MoveSrcSliceWindow(Sequence<KPerBlock, 0, 0>{}, True);
+
+                __syncthreads();
+
+                // LDS double buffer: load last data from device mem
+                blockwise_out_copy.RunLoadThreadBuffer(p_out_global, p_out_thread_buffer);
+                blockwise_wei_copy.RunLoadThreadBuffer(p_wei_global, p_wei_thread_buffer);
+
+                // LDS double buffer: GEMM on 2nd-last data
+                blockwise_gemm.Run(p_wei_block_double, p_out_block_double, p_in_thread);
+
+                // LDS double buffer: store last data to LDS
+                blockwise_out_copy.RunStoreThreadBuffer(p_out_thread_buffer,
+                                                        p_out_block_double + out_block_space);
+                blockwise_wei_copy.RunStoreThreadBuffer(p_wei_thread_buffer,
+                                                        p_wei_block_double + wei_block_space);
+
+                __syncthreads();
+
+                // LDS double buffer: GEMM on last data
+                blockwise_gemm.Run(p_wei_block_double + wei_block_space,
+                                   p_out_block_double + out_block_space,
+                                   p_in_thread);
+            }
+            else // if has 1 iteration left
+            {
+                __syncthreads();
+
+                // LDS double buffer: GEMM on last data
+                blockwise_gemm.Run(p_wei_block_double, p_out_block_double, p_in_thread);
+            }
+        }
+
+        // input: register to global memory, atomic add
+        {
+            constexpr index_t E1 = GemmMLevel0Cluster * GemmMLevel1Cluster;
+            constexpr index_t E0 = E / E1;
+
+            constexpr index_t B1 = GemmNLevel0Cluster * GemmNLevel1Cluster;
+            constexpr index_t B0 = B / B1;
+
+            // define input tensor descriptor for threadwise copy
+            //     thread input tensor, src of threadwise copy
+            constexpr auto in_e0_e1_c0_b0_b1_n0_thread_desc = make_native_tensor_descriptor_packed(
+                Sequence<GemmMRepeat, 1, GemmMPerThreadSubC, GemmNRepeat, 1, GemmNPerThreadSubC>{});
+
+            //     global input tensor, dst of threadwise copy
+            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_c0_c1_y_ho_x_wo_global_desc = transform_tensor_descriptor(
+                in_n_c_hip_wip_global_desc,
+                make_tuple(UnMerge<Sequence<N0, N1>>{},
+                           UnMerge<Sequence<C0, C1>>{},
+                           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>{}, Sequence<2, 3>{}, Sequence<4, 5>{}, Sequence<6, 7>{}));
+
+            constexpr auto in_e_c0_b_n0_global_desc = transform_tensor_descriptor(
+                in_n0_n1_c0_c1_y_ho_x_wo_global_desc,
+                make_tuple(Merge<Sequence<C1, Y, X>>{},
+                           PassThrough<C0>{},
+                           Merge<Sequence<N1, Ho, Wo>>{},
+                           PassThrough<N0>{}),
+                make_tuple(Sequence<3, 4, 6>{}, Sequence<2>{}, Sequence<1, 5, 7>{}, Sequence<0>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
+
+            constexpr auto in_e0_e1_c0_b0_b1_n0_global_desc = transform_tensor_descriptor(
+                in_e_c0_b_n0_global_desc,
+                make_tuple(UnMerge<Sequence<E0, E1>>{},
+                           PassThrough<C0>{},
+                           UnMerge<Sequence<B0, B1>>{},
+                           PassThrough<N0>{}),
+                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+                make_tuple(Sequence<0, 1>{}, Sequence<2>{}, Sequence<3, 4>{}, Sequence<5>{}));
+
+            // calculate origin of thread input 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 e_thread_data_on_global =
+                e_block_data_on_global + c_thread_mtx_on_block.row / GemmMPerThreadSubC;
+
+            const index_t b_thread_data_on_global =
+                b_block_data_on_global + c_thread_mtx_on_block.col / GemmNPerThreadSubC;
+
+            ThreadwiseGenericTensorSliceCopy_v4r2<
+                decltype(in_e0_e1_c0_b0_b1_n0_thread_desc),
+                decltype(in_e0_e1_c0_b0_b1_n0_global_desc),
+                decltype(in_e0_e1_c0_b0_b1_n0_thread_desc.GetLengths()),
+                Sequence<0, 1, 2, 3, 4, 5>,
+                4,
+                1,
+                InThreadCopyDstDataPerWrite_B,
+                AddressSpace::vgpr,
+                AddressSpace::global,
+                InMemoryDataOperation::atomic_add>({0, 0, 0, 0, 0, 0},
+                                                   {e_thread_data_on_global / E1,
+                                                    e_thread_data_on_global % E1,
+                                                    0,
+                                                    b_thread_data_on_global / B1,
+                                                    b_thread_data_on_global % B1,
+                                                    0})
+                .Run(p_in_thread, p_in_global);
+        }
+    }
+};
+
+} // namespace ck
+#endif

driver/include/device_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw.hpp

@@ -97,8 +97,8 @@ void device_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc i
             ConvDilations,
             LeftPads,
             RightPads,
-            EPerBlock,
             BPerBlock,
+            EPerBlock,
             KPerBlock,
             GemmMPerThreadSubC,
             GemmNPerThreadSubC,

driver/include/device_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw.hpp

+#pragma once
+#include <unistd.h>
+#include "device.hpp"
+#include "tensor.hpp"
+#include "gridwise_operation_wrapper.hpp"
+#include "gridwise_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw_lds_double_buffer.hpp"
+
+template <typename T,
+          typename InDesc,
+          typename WeiDesc,
+          typename OutDesc,
+          typename ConvStrides,
+          typename ConvDilations,
+          typename LeftPads,
+          typename RightPads>
+void device_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw(InDesc in_nchw_desc,
+                                                                        Tensor<T>& in_nchw,
+                                                                        WeiDesc wei_kcyx_desc,
+                                                                        const Tensor<T>& wei_kcyx,
+                                                                        OutDesc out_nkhw_desc,
+                                                                        const Tensor<T>& out_nkhw,
+                                                                        ConvStrides,
+                                                                        ConvDilations,
+                                                                        LeftPads,
+                                                                        RightPads,
+                                                                        std::size_t nrepeat)
+{
+    using namespace ck;
+
+    constexpr index_t N  = out_nkhw_desc.GetLengths()[0];
+    constexpr index_t K  = out_nkhw_desc.GetLengths()[1];
+    constexpr index_t Ho = out_nkhw_desc.GetLengths()[2];
+    constexpr index_t Wo = out_nkhw_desc.GetLengths()[3];
+
+    constexpr index_t C = wei_kcyx_desc.GetLengths()[1];
+    constexpr index_t Y = wei_kcyx_desc.GetLengths()[2];
+    constexpr index_t X = wei_kcyx_desc.GetLengths()[3];
+
+    std::size_t data_sz = sizeof(T);
+    DeviceMem in_nchw_device_buf(data_sz * in_nchw.mDesc.GetElementSpace());
+    DeviceMem wei_kcyx_device_buf(data_sz * wei_kcyx.mDesc.GetElementSpace());
+    DeviceMem out_nkhw_device_buf(data_sz * out_nkhw.mDesc.GetElementSpace());
+
+    in_nchw_device_buf.ToDevice(in_nchw.mData.data());
+    wei_kcyx_device_buf.ToDevice(wei_kcyx.mData.data());
+    out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());
+
+#if 1
+    // BlockSize = 256, each thread hold 64 data
+    constexpr index_t BlockSize = 256;
+
+    constexpr index_t BPerBlock = 32;
+    constexpr index_t EPerBlock = 32;
+    constexpr index_t KPerBlock = 8;
+
+    constexpr index_t GemmMPerThreadSubC = 4;
+    constexpr index_t GemmNPerThreadSubC = 4;
+    constexpr index_t GemmMLevel0Cluster = 4;
+    constexpr index_t GemmNLevel0Cluster = 4;
+    constexpr index_t GemmMLevel1Cluster = 4;
+    constexpr index_t GemmNLevel1Cluster = 4;
+    constexpr index_t GemmKPerThreadLoop = 1;
+    constexpr index_t GemmDataPerReadA   = 4;
+    constexpr index_t GemmDataPerReadB   = 4;
+
+    using OutBlockCopySubLengths_K_B_N0     = Sequence<1, 1, 4>;
+    using OutBlockCopyClusterLengths_K_B_N0 = Sequence<8, 32, 1>;
+
+    constexpr index_t OutBlockCopySrcDataPerRead_B   = 1;
+    constexpr index_t OutBlockCopyDstDataPerWrite_N0 = 4;
+
+    using WeiBlockCopySubLengths_K_E_C0     = Sequence<1, 4, 1>;
+    using WeiBlockCopyClusterLengths_K_E_C0 = Sequence<8, 8, 4>;
+
+    constexpr index_t WeiBlockCopySrcDataPerRead_E   = 4;
+    constexpr index_t WeiBlockCopyDstDataPerWrite_C0 = 1;
+
+    constexpr index_t InThreadCopyDstDataPerWrite_B = 1;
+#endif
+
+    constexpr index_t E = C * Y * X;
+    constexpr index_t B = (N * Ho * Wo);
+
+    constexpr index_t GridSize =
+        ((E + EPerBlock - 1) / EPerBlock) * ((B + BPerBlock - 1) / BPerBlock);
+
+    printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
+
+    constexpr auto gridwise_conv =
+        GridwiseConvolutionBackwardDataImplicitGemm_v4r5_nchw_kcyx_nkhw_lds_double_buffer<
+            GridSize,
+            BlockSize,
+            T,
+            T,
+            decltype(in_nchw_desc),
+            decltype(wei_kcyx_desc),
+            decltype(out_nkhw_desc),
+            ConvStrides,
+            ConvDilations,
+            LeftPads,
+            RightPads,
+            BPerBlock,
+            EPerBlock,
+            KPerBlock,
+            GemmMPerThreadSubC,
+            GemmNPerThreadSubC,
+            GemmMLevel0Cluster,
+            GemmNLevel0Cluster,
+            GemmMLevel1Cluster,
+            GemmNLevel1Cluster,
+            GemmKPerThreadLoop,
+            GemmDataPerReadA,
+            GemmDataPerReadB,
+            OutBlockCopySubLengths_K_B_N0,
+            OutBlockCopyClusterLengths_K_B_N0,
+            OutBlockCopySrcDataPerRead_B,
+            OutBlockCopyDstDataPerWrite_N0,
+            WeiBlockCopySubLengths_K_E_C0,
+            WeiBlockCopyClusterLengths_K_E_C0,
+            WeiBlockCopySrcDataPerRead_E,
+            WeiBlockCopyDstDataPerWrite_C0,
+            InThreadCopyDstDataPerWrite_B>{};
+
+    for(index_t i = 0; i < nrepeat; ++i)
+    {
+        float time = launch_kernel(run_gridwise_operation<decltype(gridwise_conv),
+                                                          T* const __restrict__,
+                                                          const T* const __restrict__,
+                                                          const T* const __restrict__>,
+                                   dim3(GridSize),
+                                   dim3(BlockSize),
+                                   0,
+                                   gridwise_conv,
+                                   const_cast<T* const __restrict__>(
+                                       static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer())),
+                                   const_cast<const T* const __restrict__>(
+                                       static_cast<T*>(wei_kcyx_device_buf.GetDeviceBuffer())),
+                                   const_cast<const T* const __restrict__>(
+                                       static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer())));
+
+        printf("Elapsed time : %f ms, %f TFlop/s\n",
+               time,
+               (float)calculate_convolution_flops(InDesc{}, WeiDesc{}, OutDesc{}) /
+                   (std::size_t(1000) * 1000 * 1000) / time);
+        usleep(std::min(time * 1000, float(10000)));
+    }
+
+    in_nchw_device_buf.FromDevice(in_nchw.mData.data());
+}

driver/src/conv_bwd_data_driver.cpp

@@ -14,6 +14,7 @@
 #include "conv_common.hpp"
 #include "host_conv_bwd_data.hpp"
 #include "device_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw.hpp"
+#include "device_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw.hpp"
 
 int main(int argc, char* argv[])
 {
@@ -344,7 +345,12 @@ int main(int argc, char* argv[])
 #endif
     }
 
-    device_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw(in_nchw_desc,
+#if 0
+    device_convolution_backward_data_implicit_gemm_v4r4_nchw_kcyx_nkhw
+#else
+    device_convolution_backward_data_implicit_gemm_v4r5_nchw_kcyx_nkhw
+#endif
+    (in_nchw_desc,
      in_nchw_device,
      wei_kcyx_desc,
      wei_kcyx,