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

#pragma once

#include "ck/tensor_operation/gpu/device/reduction_operator_mapping.hpp"
#include "ck/tensor_operation/gpu/device/device_reduce_multiblock.hpp"
#include "ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_impl_common.hpp"

namespace ck {
namespace tensor_operation {
namespace device {
namespace device_reduce_instance {

using reduce_configuration_1_instances_blockwise = std::tuple<
    // clang-format off
    // BlockSize | MThreadClusterSize | KThreadClusterSize
    ReductionConfiguration_1<256, 128, 2>,
    ReductionConfiguration_1<256, 64, 4>,
    ReductionConfiguration_1<256, 32, 8>,
    ReductionConfiguration_1<256, 16, 16>,
    ReductionConfiguration_1<256, 8, 32>,
    ReductionConfiguration_1<256, 4, 64>,
    ReductionConfiguration_1<256, 2, 128>,
    ReductionConfiguration_1<256, 1, 256>
    // clang-format on
    >;

#ifdef QUICK_REDUCE_TEST
using reduce_configuration_2_instances_blockwise = std::tuple<
    // clang-format off
    // InSrcVectorDim | InSrcVectorSize | OutDstVectorSize | MThreadSliceSize | KThreadSliceSize
    ReductionConfiguration_2<0, 2, 2, 2, 1>,
    ReductionConfiguration_2<0, 1, 1, 2, 1>,
    ReductionConfiguration_2<1, 2, 1, 1, 2>,
    ReductionConfiguration_2<0, 1, 1, 3, 1>,
    ReductionConfiguration_2<1, 1, 1, 1, 3>
    // clang-format on
    >;
#else
using reduce_configuration_2_instances_blockwise = std::tuple<
    // clang-format off
    // InSrcVectorDim | InSrcVectorSize | OutDstVectorSize | MThreadSliceSize | KThreadSliceSize
    ReductionConfiguration_2<0, 4, 4, 8, 1>,
    ReductionConfiguration_2<0, 4, 4, 4, 1>,
    ReductionConfiguration_2<0, 2, 2, 2, 1>,

    ReductionConfiguration_2<1, 4, 1, 1, 8>,
    ReductionConfiguration_2<1, 4, 1, 1, 4>,
    ReductionConfiguration_2<1, 2, 1, 1, 2>,

    // special instances
    ReductionConfiguration_2<0, 1, 1, 3, 1>,
    ReductionConfiguration_2<0, 1, 1, 5, 1>,
    ReductionConfiguration_2<0, 1, 1, 7, 1>,
    ReductionConfiguration_2<0, 1, 1, 11, 1>,

    ReductionConfiguration_2<1, 1, 1, 1, 3>,
    ReductionConfiguration_2<1, 1, 1, 1, 5>,
    ReductionConfiguration_2<1, 1, 1, 1, 7>,
    ReductionConfiguration_2<1, 1, 1, 1, 11>
    // clang-format on
    >;
#endif

template <ReduceTensorOp ReduceOpId>
using deviceReduceBlockWisePtrType = DeviceReducePtr<
    typename reduce_unary_operator<ReduceOpId, true, true>::InElementwiseOperation,
    typename reduce_unary_operator<ReduceOpId, true, true>::AccElementwiseOperation>;

template <typename InDataType,
          typename AccDataType,
          typename OutDataType,
          int Rank,
          int NumReduceDim,
          ReduceTensorOp ReduceOpId,
          bool PropagateNan,
          bool UseIndex>
void add_device_reduce_instance_blockwise(
    std::vector<deviceReduceBlockWisePtrType<ReduceOpId>>& device_op_instances)
{
    using ReduceOperation = typename reduce_binary_operator<ReduceOpId>::opType;
    using InElementwiseOperation =
        typename reduce_unary_operator<ReduceOpId, true, true>::InElementwiseOperation;
    using AccElementwiseOperation =
        typename reduce_unary_operator<ReduceOpId, true, true>::AccElementwiseOperation;

    constexpr bool Indexable =
        (ReduceOpId == ReduceTensorOp::MIN || ReduceOpId == ReduceTensorOp::MAX ||
         ReduceOpId == ReduceTensorOp::AMAX);
    constexpr bool OutputIndex = Indexable && UseIndex;

    static_for<0, std::tuple_size<reduce_configuration_1_instances_blockwise>::value, 1>{}(
        [&](auto i) {
            using cfg1 = remove_cvref_t<decltype(
                std::get<i.value>(reduce_configuration_1_instances_blockwise{}))>;

            static_for<0, std::tuple_size<reduce_configuration_2_instances_blockwise>::value, 1>{}(
                [&](auto j) {
                    using cfg2 = remove_cvref_t<decltype(
                        std::get<j.value>(reduce_configuration_2_instances_blockwise{}))>;

                    using ReduceOpInstance =
                        DeviceReduceMultiBlock<InDataType,
                                               AccDataType,
                                               OutDataType,
                                               Rank,
                                               NumReduceDim,
                                               ReduceOperation,
                                               InElementwiseOperation,
                                               AccElementwiseOperation,
                                               InMemoryDataOperationEnum::Set,
                                               PropagateNan,
                                               OutputIndex,
                                               false, // HaveIndexInputIfOutputIndex
                                               cfg1::BlockSize_,
                                               cfg1::MThreadClusterSize_,
                                               cfg1::KThreadClusterSize_,
                                               cfg2::MThreadSliceSize_,
                                               cfg2::KThreadSliceSize_,
                                               cfg2::InSrcVectorDim_,
                                               cfg2::InSrcVectorSize_,
                                               cfg2::OutDstVectorSize_>;

                    device_op_instances.push_back(
                        std::make_unique<ReduceOpInstance>(ReduceOpInstance{}));
                });
        });
};

#define ADD_BLOCKWISE_INST_BY_TYPE(                                           \
    inT, compT, outT, ReduceOpId, PropagateNan, UseIndex, Rank, NumReduceDim) \
    template void add_device_reduce_instance_blockwise<inT,                   \
                                                       compT,                 \
                                                       outT,                  \
                                                       Rank,                  \
                                                       NumReduceDim,          \
                                                       ReduceOpId,            \
                                                       PropagateNan,          \
                                                       UseIndex>(             \
        std::vector<deviceReduceBlockWisePtrType<ReduceOpId>> & device_op_instances)

#define ADD_BLOCKWISE_INST_BY_ID(                                         \
    inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
    ADD_BLOCKWISE_INST_BY_TYPE(inT,                                       \
                               compT,                                     \
                               outT,                                      \
                               static_cast<ReduceTensorOp>(ReduceOpId),   \
                               static_cast<bool>(NanOpt),                 \
                               static_cast<bool>(IndicesOpt),             \
                               Rank,                                      \
                               NumReduceDim)

#define ADD_BLOCKWISE_INST_REF_BY_TYPE(                                       \
    inT, compT, outT, ReduceOpId, PropagateNan, UseIndex, Rank, NumReduceDim) \
    extern template void add_device_reduce_instance_blockwise<inT,            \
                                                              compT,          \
                                                              outT,           \
                                                              Rank,           \
                                                              NumReduceDim,   \
                                                              ReduceOpId,     \
                                                              PropagateNan,   \
                                                              UseIndex>(      \
        std::vector<deviceReduceBlockWisePtrType<ReduceOpId>> & device_op_instances)

#define ADD_BLOCKWISE_INST_REF_BY_ID(                                       \
    inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim)   \
    ADD_BLOCKWISE_INST_REF_BY_TYPE(inT,                                     \
                                   compT,                                   \
                                   outT,                                    \
                                   static_cast<ReduceTensorOp>(ReduceOpId), \
                                   static_cast<bool>(NanOpt),               \
                                   static_cast<bool>(IndicesOpt),           \
                                   Rank,                                    \
                                   NumReduceDim)

} // namespace device_reduce_instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
