// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.

#pragma once

#include <iostream>
#include <string>

#include "ck_tile/core.hpp"
#include "ck_tile/ops/common.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"

namespace ck_tile {

template <typename TilePartitioner_, typename GemmPipeline_, typename EpiloguePipeline_>
struct BatchedGemmKernel
{
    using TilePartitioner                    = remove_cvref_t<TilePartitioner_>;
    using GemmPipeline                       = remove_cvref_t<GemmPipeline_>;
    using EpiloguePipeline                   = remove_cvref_t<EpiloguePipeline_>;
    using ALayout                            = remove_cvref_t<typename GemmPipeline::ALayout>;
    using BLayout                            = remove_cvref_t<typename GemmPipeline::BLayout>;
    using CLayout                            = remove_cvref_t<typename GemmPipeline::CLayout>;
    static constexpr index_t KernelBlockSize = GemmPipeline::BlockSize;

    using ADataType = remove_cvref_t<typename GemmPipeline::ADataType>;
    using BDataType = remove_cvref_t<typename GemmPipeline::BDataType>;
    // using CAccDataType = remove_cvref_t<typename GemmPipeline::CDataType>;
    using CDataType = remove_cvref_t<typename EpiloguePipeline::ODataType>;

    __host__ static constexpr auto GridSize(index_t M, index_t N, index_t KBatch)
    {
        return TilePartitioner::GridSize(M, N, KBatch);
    }

    __host__ static constexpr auto BlockSize() { return dim3(KernelBlockSize); }

    struct BatchedGemmCommonKargs
    {
        const void* a_ptr;
        const void* b_ptr;
        void* c_ptr;
        index_t M;
        index_t N;
        index_t K;
        index_t stride_A;
        index_t stride_B;
        index_t stride_C;
        index_t batch_stride_A;
        index_t batch_stride_B;
        index_t batch_stride_C;
        index_t batch_count;
    };

    CK_TILE_HOST static constexpr BatchedGemmCommonKargs MakeKargs(const void* a_ptr,
                                                                   const void* b_ptr,
                                                                   void* c_ptr,
                                                                   index_t M,
                                                                   index_t N,
                                                                   index_t K,
                                                                   index_t stride_A,
                                                                   index_t stride_B,
                                                                   index_t stride_C,
                                                                   index_t batch_stride_A,
                                                                   index_t batch_stride_B,
                                                                   index_t batch_stride_C,
                                                                   index_t batch_count)
    {
        return BatchedGemmCommonKargs{a_ptr,
                                      b_ptr,
                                      c_ptr,
                                      M,
                                      N,
                                      K,
                                      stride_A,
                                      stride_B,
                                      stride_C,
                                      batch_stride_A,
                                      batch_stride_B,
                                      batch_stride_C,
                                      batch_count};
    }

    CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize()
    {
        return max(GemmPipeline::GetSmemSize(), EpiloguePipeline::GetSmemSize());
    }

    CK_TILE_DEVICE void operator()(BatchedGemmCommonKargs kargs) const
    {
        const auto [i_m, i_n] = TilePartitioner{}();
        // const auto i_k        = blockIdx.z;
        //  options
        const ADataType* a_start = static_cast<const ADataType*>(
            kargs.a_ptr); //+ __builtin_amdgcn_readfirstlane(i_k * kargs.batch_stride_A);
        const BDataType* b_start = static_cast<const BDataType*>(
            kargs.b_ptr); //+ __builtin_amdgcn_readfirstlane(i_k * kargs.batch_stride_B);
        // Convert pointers to tensor views
        auto a_tensor_view = [&]() {
            if constexpr(std::is_same_v<ALayout, tensor_layout::gemm::RowMajor>)
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    a_start,
                    make_tuple(kargs.M, kargs.K),
                    make_tuple(kargs.stride_A, 1),
                    number<GemmPipeline::AlignmentA>{},
                    number<1>{});
            }
            else
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    a_start,
                    make_tuple(kargs.M, kargs.K),
                    make_tuple(1, kargs.stride_A),
                    number<GemmPipeline::AlignmentA>{},
                    number<1>{});
            }
        }();

        auto b_tensor_view = [&]() {
            if constexpr(std::is_same_v<BLayout, tensor_layout::gemm::RowMajor>)
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    b_start,
                    make_tuple(kargs.N, kargs.K),
                    make_tuple(1, kargs.stride_B),
                    number<GemmPipeline::AlignmentB>{},
                    number<1>{});
            }
            else
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    b_start,
                    make_tuple(kargs.N, kargs.K),
                    make_tuple(kargs.stride_B, 1),
                    number<GemmPipeline::AlignmentB>{},
                    number<1>{});
            }
        }();

        auto a_pad_view = pad_tensor_view(
            a_tensor_view,
            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kK>{}),
            // somehow clang-format is splitting below line into multiple.
            // clang-format off
            sequence<false, GemmPipeline::kPadA>{});
        // clang-format on

        auto a_block_window = make_tile_window(
            a_pad_view,
            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kK>{}),
            {i_m, 0});

        auto b_pad_view = pad_tensor_view(
            b_tensor_view,
            make_tuple(number<TilePartitioner::kN>{}, number<TilePartitioner::kK>{}),
            // clang-format off
            sequence<false, GemmPipeline::kPadB>{});
        // clang-format on

        auto b_block_window = make_tile_window(
            b_pad_view,
            make_tuple(number<TilePartitioner::kN>{}, number<TilePartitioner::kK>{}),
            {i_n, 0});

        // allocate LDS
        __shared__ char smem_ptr[GetSmemSize()];

        const index_t num_loop = TilePartitioner::GetLoopNum(kargs.K);

        // Run GEMM cooperatively by whole wokrgroup.
        auto c_block_tile =
            GemmPipeline{}.template operator()(a_block_window, b_block_window, num_loop, smem_ptr);

        CDataType* c_start = static_cast<CDataType*>(
            kargs.c_ptr); //; + __builtin_amdgcn_readfirstlane(i_k * kargs.batch_stride_C);
        auto c_tensor_view = [&]() {
            if constexpr(std::is_same_v<CLayout, tensor_layout::gemm::RowMajor>)
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    c_start,
                    make_tuple(kargs.M, kargs.N),
                    make_tuple(kargs.stride_C, 1),
                    number<GemmPipeline::AlignmentC>{},
                    number<1>{});
            }
            else
            {
                return make_naive_tensor_view<address_space_enum::global>(
                    c_start,
                    make_tuple(kargs.M, kargs.N),
                    make_tuple(1, kargs.stride_C),
                    number<GemmPipeline::AlignmentC>{},
                    number<1>{});
            }
        }();

        auto c_pad_view = pad_tensor_view(
            c_tensor_view,
            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kN>{}),
            // clang-format off
            sequence<false, GemmPipeline::kPadC>{});
        // clang-format on
        auto c_block_window = make_tile_window(
            c_pad_view,
            make_tuple(number<TilePartitioner::kM>{}, number<TilePartitioner::kN>{}),
            {i_m, i_n});

        EpiloguePipeline{}(c_block_window, c_block_tile);
    }
};

} // namespace ck_tile
