// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.

#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_multiple_d_xdl_cshuffle.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"

#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"

namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {

using namespace ck::tensor_layout::convolution;

using BF16 = ck::bhalf_t;
using F16  = ck::half_t;
using F32  = float;

#ifdef CK_ENABLE_FP8
using F8 = ck::f8_t;
#endif

#ifdef CK_ENABLE_BF8
using BF8 = ck::bf8_t;
#endif

using Empty_Tuple = ck::Tuple<>;

template <ck::index_t... Is>
using S = ck::Sequence<Is...>;

using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using Bilinear    = ck::tensor_operation::element_wise::Bilinear;

static constexpr auto ConvBwdWeightDefault =
    ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization::Default;

static constexpr auto ConvBwdWeightFilter1x1Stride1Pad0 =
    ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization::Filter1x1Stride1Pad0;

template <ck::index_t NDimSpatial,
          typename ALayout,
          typename BLayout,
          typename ELayout,
          ConvolutionBackwardWeightSpecialization ConvSpec>
using device_grouped_conv_bwd_weight_xdl_c_shuffle_f32_bilinear_instances = std::tuple<
    // clang-format off
        //#########################################|     Num| InLayout| WeiLayout| OutLayout| DsData| InData| WeiData| OutData| AccData| DsData|          In|         Wei|         Out|              ConvBackward| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|   ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle|   CBlockTransfer|  CBlockTransfer|
        //#########################################|     Dim|         |          |          | Layout|   Type|    Type|    Type|    Type|   Type| Elementwise| Elementwise| Elementwise|                    Weight|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|   ThreadCluster|    ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|   ClusterLengths| ScalarPerVector|
        //#########################################| Spatial|         |          |          |       |       |        |        |        |       |   Operation|   Operation|   Operation|            Specialization|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_M_K1|     ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle| MBlock_MPerBlock|    NWaveNPerXdl|
        //#########################################|        |         |          |          |       |       |        |        |        |       |            |            |            |                          |      |      |      |      |   |     |     |     |     |                |                 |               |               |               |               |          |                |               |               |              |               |               |          |            |            | NBlock_NPerBlock|                |
        // generic instance
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  4,   32,   32,    2,    2,  S<1, 4, 16, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              1,              4,      true,  S<1, 4, 16, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              1,              4,      true,           1,           1,   S<1, 16, 1, 4>,               1>,
        // instances for small conv.K and conv.C
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  4,   32,   32,    2,    1,  S<1, 4, 32, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              1,              1,      true,           1,           1,   S<1, 32, 1, 4>,               1>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  4,   32,   32,    1,    2,  S<1, 4, 8,  2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              1,              2,      true,  S<1, 4, 16, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>,

        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   256,   128,     4,  4,   32,   32,    4,    2,  S<1, 4, 64, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              2,      true,           1,           1,   S<1, 32, 1, 8>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   256,     4,  4,   32,   32,    2,    4,  S<1, 4, 32, 2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              2,      true,  S<1, 4, 64, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 32, 1, 8>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,   128,     4,  4,   32,   32,    4,    2,  S<1, 4, 32, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 32, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   128,     4,  4,   32,   32,    2,    2,  S<1, 4, 32, 2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              2,      true,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    64,     4,  4,   32,   32,    2,    2,  S<1, 4, 32, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    64,   128,     4,  4,   32,   32,    2,    2,  S<1, 4, 16, 2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              2,      true,  S<1, 4, 32, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  4,   32,   32,    2,    2,  S<1, 4, 16, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 16, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,    64,     4,  4,   32,   32,    2,    1,  S<1, 4, 32, 2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              2,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              1,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,    64,   128,     4,  4,   32,   32,    1,    2,  S<1, 4, 16, 4>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              1,      true,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  4,   32,   32,    2,    1,  S<1, 4, 32, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              1,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    32,   128,     4,  4,   32,   32,    1,    2,  S<1, 4, 8,  4>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              1,      true,  S<1, 4, 32, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    32,     4,  4,   32,   32,    2,    1,  S<1, 4, 16, 1>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              4,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              2,      true,           1,           1,   S<1, 16, 1, 4>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F32,     F32,     F32,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  4,   32,   32,    1,    2,  S<1, 4, 8,  2>,   S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              4,              2,      true,  S<1, 4, 16, 1>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              4,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>
    // clang-format on
    >;

template <ck::index_t NDimSpatial,
          typename ALayout,
          typename BLayout,
          typename ELayout,
          ConvolutionBackwardWeightSpecialization ConvSpec>
using device_grouped_conv_bwd_weight_xdl_c_shuffle_f16_bilinear_instances = std::tuple<
    // clang-format off
        //#########################################|     Num| InLayout| WeiLayout| OutLayout| DsData| InData| WeiData| OutData| AccData| DsData|          In|         Wei|         Out|              ConvBackward| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|   ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle|   CBlockTransfer|  CBlockTransfer|
        //#########################################|     Dim|         |          |          | Layout|   Type|    Type|    Type|    Type|   Type| Elementwise| Elementwise| Elementwise|                    Weight|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|   ThreadCluster|    ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|   ClusterLengths| ScalarPerVector|
        //#########################################| Spatial|         |          |          |       |       |        |        |        |       |   Operation|   Operation|   Operation|            Specialization|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_M_K1|     ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle| MBlock_MPerBlock|    NWaveNPerXdl|
        //#########################################|        |         |          |          |       |       |        |        |        |       |            |            |            |                          |      |      |      |      |   |     |     |     |     |                |                 |               |               |               |               |          |                |               |               |              |               |               |          |            |            | NBlock_NPerBlock|                |
        // generic instance
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              2,              4,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              2,              4,      true,           1,           1,   S<1, 16, 1, 4>,               2>,   
        // instance for small conv.K
        // for fp16 conv.K and conv.C must be divisible by 2
        // since half_t atomic_add require scalar_per_x_vector % 2 == 0
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              2,              1,      true,           1,           1,   S<1, 32, 1, 4>,               2>,  
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              2,              2,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8>,

        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   256,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 8>,               8>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   256,     4,  8,   32,   32,    2,    4,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 8>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    64,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,    64,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 8,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,    64,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 8,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              1,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    32,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              1,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 16, 1, 4>,               8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8>
    // clang-format on
    >;

template <ck::index_t NDimSpatial,
          typename ALayout,
          typename BLayout,
          typename ELayout,
          ConvolutionBackwardWeightSpecialization ConvSpec>
using device_grouped_conv_bwd_weight_xdl_c_shuffle_bf16_bilinear_instances = std::tuple<
    // clang-format off
        //#########################################|     Num| InLayout| WeiLayout| OutLayout| DsData| InData| WeiData| OutData| AccData| DsData|          In|         Wei|         Out|              ConvBackward| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|   ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle|   CBlockTransfer|  CBlockTransfer|
        //#########################################|     Dim|         |          |          | Layout|   Type|    Type|    Type|    Type|   Type| Elementwise| Elementwise| Elementwise|                    Weight|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|   ThreadCluster|    ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|   ClusterLengths| ScalarPerVector|
        //#########################################| Spatial|         |          |          |       |       |        |        |        |       |   Operation|   Operation|   Operation|            Specialization|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_M_K1|     ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle| MBlock_MPerBlock|    NWaveNPerXdl|
        //#########################################|        |         |          |          |       |       |        |        |        |       |            |            |            |                          |      |      |      |      |   |     |     |     |     |                |                 |               |               |               |               |          |                |               |               |              |               |               |          |            |            | NBlock_NPerBlock|                |
        // generic instance
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              1,              4,      true,   S<1, 4, 8,  2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              1,              4,      true,           1,           1,   S<1, 16, 1, 4>,               1>,   
        // instance for small conv.K
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 4,  8>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              1,              1,      true,           1,           1,   S<1, 32, 1, 4>,               1>, 
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              1,              2,      true,   S<1, 4, 8,  2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>,

        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   256,   256,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 32, 2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 16, 4>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 8>,               4>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   256,   128,   256,     4,  8,   32,   32,    2,    4,  S<1, 4, 16, 4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              2,      true,   S<1, 4, 32, 2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 8>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,   128,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 16, 2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 16, 2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   256,   128,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              2,      true,   S<1, 4, 16, 4>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,   128,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 8,  4>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,    64,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              2,      true,   S<1, 4, 16, 2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 8,  2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   256,   128,    64,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              2,      true,   S<1, 4, 8,  8>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   256,    64,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 8,  8>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              1,      true,   S<1, 4, 16, 4>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 4,  8>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,   128,    32,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  8>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              1,      true,   S<1, 4, 16, 2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,    64,    64,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 8,  2>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              4,      true,   S<1, 4, 4,  4>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 16, 1, 4>,               4>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,    ELayout, Tuple<BLayout>, BF16,     F32,    BF16,     F32, Tuple<F32>, PassThrough, Bilinear, PassThrough,   ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>, S<0, 3, 1, 2>,   S<0, 2, 1, 3>,              2,              8,              2,      true,   S<1, 4, 8,  2>,   S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               4>
    // clang-format on
    >;

template <ck::index_t NDimSpatial,
          typename ALayout,
          typename BLayout,
          typename ELayout,
          ConvolutionBackwardWeightSpecialization ConvSpec>
using device_grouped_conv_bwd_weight_xdl_c_shuffle_f16_comp_bf8_f8_bilinear_instances = std::tuple<
// clang-format off
        //#########################################|     Num| InLayout| WeiLayout| OutLayout| DsData| InData| WeiData| OutData| AccData| DsData|          In|         Wei|         Out|              ConvBackward| Block|  MPer|  NPer| K0Per| K1| MPer| NPer| MXdl| NXdl|  ABlockTransfer|   ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|  BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds|    CShuffle|    CShuffle|   CBlockTransfer|  CBlockTransfer|
        //#########################################|     Dim|         |          |          | Layout|   Type|    Type|    Type|    Type|   Type| Elementwise| Elementwise| Elementwise|                    Weight|  Size| Block| Block| Block|   |  XDL|  XDL|  Per|  Per|   ThreadCluster|    ThreadCluster| SrcAccessOrder|   SrcVectorDim|      SrcScalar|      DstScalar| AddExtraM|   ThreadCluster|  ThreadCluster| SrcAccessOrder|  SrcVectorDim|      SrcScalar|      DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave|   ClusterLengths| ScalarPerVector|
        //#########################################| Spatial|         |          |          |       |       |        |        |        |       |   Operation|   Operation|   Operation|            Specialization|      |      |      |      |   |     |     | Wave| Wave| Lengths_K0_M_K1|     ArrangeOrder|               |               |      PerVector|   PerVector_K1|          | Lengths_K0_N_K1|   ArrangeOrder|               |              |      PerVector|   PerVector_K1|          |  PerShuffle|  PerShuffle| MBlock_MPerBlock|    NWaveNPerXdl|
        //#########################################|        |         |          |          |       |       |        |        |        |       |            |            |            |                          |      |      |      |      |   |     |     |     |     |                |                 |               |               |               |               |          |                |               |               |              |               |               |          |            |            | NBlock_NPerBlock|                |
#if defined CK_ENABLE_FP8 && defined CK_ENABLE_BF8
        // generic instance
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              2,              4,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              2,              4,      true,           1,           1,   S<1, 16, 1, 4>,               2,       BF8,     F8>,   
        // instance for small conv.K
        // for fp16 conv.K and conv.C must be divisible by 2
        // since half_t atomic_add require scalar_per_x_vector % 2 == 0
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              2,              1,      true,           1,           1,   S<1, 32, 1, 4>,               2,       BF8,     F8>,  
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              2,              2,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8,       BF8,     F8>,

        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   256,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 8>,               8,       BF8,     F8>,
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   256,     4,  8,   32,   32,    2,    4,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 32, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 8>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,   128,     4,  8,   32,   32,    4,    2,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    64,   128,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    64,     4,  8,   32,   32,    2,    2,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,   128,    64,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 8,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   256,    64,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 8,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              1,      true,  S<1, 4, 16, 4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,   128,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              1,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,   128,    32,   128,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  8>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              1,      true,  S<1, 4, 16, 2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 32, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    64,    32,     4,  8,   32,   32,    2,    1,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              4,      true,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              2,      true,           1,           1,   S<1, 16, 1, 4>,               8,       BF8,     F8>,   
        DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle< NDimSpatial,  ALayout,   BLayout,   ELayout, Tuple<BLayout>, F16,     F16,     F16,     F32, Tuple<F16>, PassThrough, Bilinear, PassThrough,  ConvSpec,    64,    32,    64,     4,  8,   32,   32,    1,    2,  S<1, 4, 4,  4>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,              2,              8,              2,      true,  S<1, 4, 8,  2>,  S<0, 3, 1, 2>,  S<0, 2, 1, 3>,             2,              8,              4,      true,           1,           1,   S<1, 16, 1, 4>,               8,       BF8,     F8>
#endif
    // clang-format on
    >;

} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
