// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.

template <typename BiasLay, typename ResidualLay>
struct LayoutSetting
{
    using BiasLayout     = BiasLay;
    using ResidualLayout = ResidualLay;
};

template <ck::index_t NDimSpatial>
struct LayoutSettingSelector;

template <>
struct LayoutSettingSelector<1> final : LayoutSetting<ctl::G_K, ctl::G_NW_K>
{
};

template <>
struct LayoutSettingSelector<2> final : LayoutSetting<ctl::G_K, ctl::G_NHW_K>
{
};

template <>
struct LayoutSettingSelector<3> final : LayoutSetting<ctl::G_K, ctl::G_NDHW_K>
{
};

template <ck::index_t NDimSpatial>
using BiasLayout = typename LayoutSettingSelector<NDimSpatial>::BiasLayout;

template <ck::index_t NDimSpatial>
using ResidualLayout = typename LayoutSettingSelector<NDimSpatial>::ResidualLayout;

// clang-format off
template <ck::index_t NDimSpatial>
using DeviceConvFwdInstances = std::tuple<
    // GEMM_N = 16
    // K0 = 2
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 3
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 16, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<3, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 192, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 4
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 5
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 6
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 7
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
    // K0 = 8
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 16, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 256, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 16, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 1, S<1, 128, 1, 1>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 16, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 1, S<1, 64, 1, 1>, 16>,
// GEMM_N=32, Wave N = 1 
        // K0 = 2
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 3
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<3, 32, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 96, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 4
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 16, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 5
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 6
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 7
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,
    // K0 = 8
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        4, 1, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 1, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 1,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 1, S<1, 32, 1, 2>, 16>,

    // GEMM_N=32, Wave N = 1 
        // K0 = 2
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 3
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<3, 32, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 4
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 5
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 6
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 7
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // K0 = 8
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 8>,  S<1, 0, 2>, S<1, 0, 2>, 2,  2,  2, true, 
        2, 2, S<1, 128, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 2, S<1, 64, 1, 2>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 32, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 2, S<1, 32, 1, 2>, 16>,
    // GEMM_N=64, Wave N = 1 
        // K0 = 2
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 3
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<3, 64, 1>,  S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 48, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 4
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 5
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 6
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 7
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,
    // K0 = 8
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        2, 4, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        2, 4, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        2, 4,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        2, 4, S<1, 16, 1, 4>, 16>,

    // GEMM_N = 64, WaveN = 2
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 3
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<3, 64, 1>,  S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 48, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 4
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 5
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 6
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 7
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // K0 = 8
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 256,         // BlockSize
        256, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        4, 2, S<1, 64, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 128,         // BlockSize
        128, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 2>,  S<1, 0, 2>, S<1, 0, 2>, 2,  8 , 8, true, 
        4, 2, S<1, 32, 1, 4>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 64,         // BlockSize
        64, 64, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        4, 2,           // MRepeat x NRepeat
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, 
        4, 2, S<1, 16, 1, 4>, 16>,
    // GEMM_N=48
   ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 2, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 3, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 4, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 5, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 6, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 7, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 192,         // BlockSize
        192, 48, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 4>,  S<1, 0, 2>, S<1, 0, 2>, 2,  4,  4, true, 
        6, 1, S<1, 64, 1, 3>, 16>,
    ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
        NDimSpatial, 
        InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, 
        InKernelDataType, WeiKernelDataType, ck::Tuple<BiasKernelDataType, ResidualKernelDataType>, OutKernelDataType, AccDataType, CShuffleDataType,
        InElementOp, WeiElementOp, OutElementOp, ConvSpec, GemmSpec, 96,         // BlockSize
        96, 48, 8, 16, // MPerBlock x NPerBlock x K0PerBlock x K1
        16, 16,         // MPerWMMA x NPerWMMA
        6, 1,           // MRepeat x NRepeat
        S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
        S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2,  8,  8, true, 
        6, 1, S<1, 32, 1, 3>, 16>
        >;
    
// clang-format on
template <ck::index_t NDimSpatial>
using HostConvFwdInstance = ck::tensor_operation::host::ReferenceConvFwd<NDimSpatial,
                                                                         InUserDataType,
                                                                         WeiUserDataType,
                                                                         CShuffleDataType,
                                                                         InElementOp,
                                                                         WeiElementOp,
                                                                         PassThrough>;

template <ck::index_t NDimSpatial>
bool run_grouped_conv_fwd_bias_relu_add(const ExecutionConfig& config,
                                        const ck::utils::conv::ConvParam& conv_param)
{
    static_assert(1 <= NDimSpatial && NDimSpatial <= 3, "Unsupported NDimSpatial");

    const auto in_g_n_c_wis_desc   = make_input_descriptor(conv_param);
    const auto wei_g_k_c_xs_desc   = make_weight_descriptor(conv_param);
    const auto bias_g_n_k_wos_desc = make_bias_descriptor(conv_param);
    const auto out_g_n_k_wos_desc  = make_output_descriptor(conv_param);

    Tensor<InUserDataType> in(in_g_n_c_wis_desc);
    Tensor<WeiUserDataType> wei(wei_g_k_c_xs_desc);
    Tensor<OutUserDataType> bias(bias_g_n_k_wos_desc);
    Tensor<OutUserDataType> residual(bias_g_n_k_wos_desc);
    Tensor<OutUserDataType> out_host(out_g_n_k_wos_desc);
    Tensor<OutKernelDataType> out_device(out_g_n_k_wos_desc);

    std::cout << "in: " << in.mDesc << std::endl;
    std::cout << "wei: " << wei.mDesc << std::endl;
    std::cout << "bias: " << bias.mDesc << std::endl;
    std::cout << "residual: " << residual.mDesc << std::endl;
    std::cout << "out: " << out_host.mDesc << std::endl;

    switch(config.init_method)
    {
    case 0: break;
    case 1:
        in.GenerateTensorValue(GeneratorTensor_2<InUserDataType>{-5, 5});
        wei.GenerateTensorValue(GeneratorTensor_2<WeiUserDataType>{-5, 5});
        bias.GenerateTensorValue(GeneratorTensor_2<OutUserDataType>{-5, 5});
        break;
    default:
        in.GenerateTensorValue(GeneratorTensor_3<InUserDataType>{0.0, 1.0});
        wei.GenerateTensorValue(GeneratorTensor_3<WeiUserDataType>{-0.5, 0.5});
        bias.GenerateTensorValue(GeneratorTensor_3<OutUserDataType>{-0.5, 0.5});
    }

    DeviceMem in_device_buf(sizeof(InKernelDataType) * in.mDesc.GetElementSpaceSize());
    DeviceMem wei_device_buf(sizeof(WeiKernelDataType) * wei.mDesc.GetElementSpaceSize());
    DeviceMem bias_device_buf(sizeof(OutKernelDataType) * bias.mDesc.GetElementSpaceSize());
    DeviceMem residual_device_buf(sizeof(OutKernelDataType) * residual.mDesc.GetElementSpaceSize());
    DeviceMem out_device_buf(sizeof(OutKernelDataType) * out_device.mDesc.GetElementSpaceSize());

#ifdef BUILD_INT4_EXAMPLE
    const Tensor<InKernelDataType> in_converted(in);
    const Tensor<WeiKernelDataType> wei_converted(wei);
    const Tensor<OutKernelDataType> bias_converted(bias);
    const Tensor<OutKernelDataType> residual_converted(residual);

    in_device_buf.ToDevice(in_converted.mData.data());
    wei_device_buf.ToDevice(wei_converted.mData.data());
    bias_device_buf.ToDevice(bias_converted.mData.data());
    residual_device_buf.ToDevice(residual_converted.mData.data());
#else
    in_device_buf.ToDevice(in.mData.data());
    wei_device_buf.ToDevice(wei.mData.data());
    bias_device_buf.ToDevice(bias.mData.data());
    residual_device_buf.ToDevice(residual.mData.data());
#endif

    std::array<ck::index_t, NDimSpatial + 3> a_g_n_c_wis_lengths{};
    std::array<ck::index_t, NDimSpatial + 3> a_g_n_c_wis_strides{};
    std::array<ck::index_t, NDimSpatial + 3> b_g_k_c_xs_lengths{};
    std::array<ck::index_t, NDimSpatial + 3> b_g_k_c_xs_strides{};
    std::array<ck::index_t, NDimSpatial + 3> d0_g_n_k_wos_lengths{};
    std::array<ck::index_t, NDimSpatial + 3> d0_g_n_k_wos_strides{};
    std::array<ck::index_t, NDimSpatial + 3> d1_g_n_k_wos_lengths{};
    std::array<ck::index_t, NDimSpatial + 3> d1_g_n_k_wos_strides{};
    std::array<ck::index_t, NDimSpatial + 3> e_g_n_k_wos_lengths{};
    std::array<ck::index_t, NDimSpatial + 3> e_g_n_k_wos_strides{};
    std::array<ck::index_t, NDimSpatial> conv_filter_strides{};
    std::array<ck::index_t, NDimSpatial> conv_filter_dilations{};
    std::array<ck::index_t, NDimSpatial> input_left_pads{};
    std::array<ck::index_t, NDimSpatial> input_right_pads{};

    auto copy = [](const auto& x, auto& y) { ck::ranges::copy(x, y.begin()); };

    copy(in_g_n_c_wis_desc.GetLengths(), a_g_n_c_wis_lengths);
    copy(in_g_n_c_wis_desc.GetStrides(), a_g_n_c_wis_strides);
    copy(wei_g_k_c_xs_desc.GetLengths(), b_g_k_c_xs_lengths);
    copy(wei_g_k_c_xs_desc.GetStrides(), b_g_k_c_xs_strides);
    copy(bias_g_n_k_wos_desc.GetLengths(), d0_g_n_k_wos_lengths);
    copy(bias_g_n_k_wos_desc.GetStrides(), d0_g_n_k_wos_strides);
    copy(bias_g_n_k_wos_desc.GetLengths(), d1_g_n_k_wos_lengths);
    copy(bias_g_n_k_wos_desc.GetStrides(), d1_g_n_k_wos_strides);
    copy(out_g_n_k_wos_desc.GetLengths(), e_g_n_k_wos_lengths);
    copy(out_g_n_k_wos_desc.GetStrides(), e_g_n_k_wos_strides);
    copy(conv_param.conv_filter_strides_, conv_filter_strides);
    copy(conv_param.conv_filter_dilations_, conv_filter_dilations);
    copy(conv_param.input_left_pads_, input_left_pads);
    copy(conv_param.input_right_pads_, input_right_pads);

    // do Conv
    float best_perf = .0;
    float best_time = .0;
    std::string best_kernel= "";
    ck::static_for<0, std::tuple_size_v<DeviceConvFwdInstances<NDimSpatial>>, 1>{}([&](auto i) {
        const auto device_conv_fwd_instance = std::get<i>(DeviceConvFwdInstances<NDimSpatial>{});

        using DeviceConvFwdInstance = ck::remove_cvref_t<decltype(device_conv_fwd_instance)>;
        auto conv    = DeviceConvFwdInstance{};
        auto invoker = conv.MakeInvoker();
        auto argument =
            conv.MakeArgument(in_device_buf.GetDeviceBuffer(),
                              wei_device_buf.GetDeviceBuffer(),
                              std::array<const void*, 2>{bias_device_buf.GetDeviceBuffer(),
                                                         residual_device_buf.GetDeviceBuffer()},
                              out_device_buf.GetDeviceBuffer(),
                              a_g_n_c_wis_lengths,
                              a_g_n_c_wis_strides,
                              b_g_k_c_xs_lengths,
                              b_g_k_c_xs_strides,
                              std::array<std::array<ck::index_t, NDimSpatial + 3>, 2>{
                                  {d0_g_n_k_wos_lengths, d1_g_n_k_wos_lengths}},
                              std::array<std::array<ck::index_t, NDimSpatial + 3>, 2>{
                                  {d0_g_n_k_wos_strides, d1_g_n_k_wos_strides}},
                              e_g_n_k_wos_lengths,
                              e_g_n_k_wos_strides,
                              conv_filter_strides,
                              conv_filter_dilations,
                              input_left_pads,
                              input_right_pads,
                              InElementOp{},
                              WeiElementOp{},
                              OutElementOp{});

        if(!conv.IsSupportedArgument(argument))
        {
            throw std::runtime_error(
                "wrong! device_conv with the specified compilation parameters does "
                "not support this Conv problem");
        }

        float avg_time = invoker.Run(argument, StreamConfig{nullptr, config.time_kernel});

        std::size_t flop      = conv_param.GetFlops();
        std::size_t num_btype = conv_param.GetByte<InUserDataType, WeiUserDataType, OutUserDataType>();

        float tflops     = static_cast<float>(flop) / 1.E9 / avg_time;
        float gb_per_sec = num_btype / 1.E6 / avg_time;
        std::cout << "Perf: " << avg_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s, "
                  << conv.GetTypeString() << std::endl;
        
        if(tflops > best_perf){
            best_perf = tflops;
            best_time = avg_time * 1000;
            best_kernel = conv.GetTypeString();
        }

        if(config.do_verification)
        {
#if 0 
            Tensor<CShuffleDataType> c_host(out_g_n_k_wos_desc);

            auto ref_conv     = HostConvFwdInstance<NDimSpatial>{};
            auto ref_invoker  = ref_conv.MakeInvoker();
            auto ref_argument = ref_conv.MakeArgument(in,
                                                      wei,
                                                      c_host,
                                                      conv_param.conv_filter_strides_,
                                                      conv_param.conv_filter_dilations_,
                                                      conv_param.input_left_pads_,
                                                      conv_param.input_right_pads_,
                                                      InElementOp{},
                                                      WeiElementOp{},
                                                      PassThrough{});

            ref_invoker.Run(ref_argument);

            // TODO: implement elementwise operation for host
            out_host.ForEach([&](auto&, auto idx) {
                OutElementOp{}(out_host(idx), c_host(idx), bias(idx), residual(idx));
            });

            out_device_buf.FromDevice(out_device.mData.data());

            return ck::utils::check_err(
                out_device, out_host, "Error: incorrect results!", 1e-5f, 1e-4f);
#endif
        }
    });
    std::cout << "--------------------------------------------------------------------------------------------"<<std::endl;
    std::cout << "Best kernel: " << best_kernel << " , " << best_perf << " TFlops , " << best_time<<" us"<<std::endl;
    std::cout << "--------------------------------------------------------------------------------------------"<<std::endl;

    return true;
}

bool run_grouped_conv_fwd_bias_relu_add_example(int argc, char* argv[])
{
    ExecutionConfig config;
    ck::utils::conv::ConvParam conv_param = DefaultConvParam;

    if(!parse_cmd_args(argc, argv, config, conv_param))
    {
        return false;
    }

    switch(conv_param.num_dim_spatial_)
    {
    case 1: return run_grouped_conv_fwd_bias_relu_add<1>(config, conv_param);
    case 2: return run_grouped_conv_fwd_bias_relu_add<2>(config, conv_param);
    case 3: return run_grouped_conv_fwd_bias_relu_add<3>(config, conv_param);
    }

    return false;
}
