#include <cstring>

#include "ck/utility/common_header.hpp"
#include "ck/tensor_description/tensor_descriptor_helper.hpp"
#include "ck/tensor_description/cluster_descriptor.hpp"
#include "ck/tensor/tensor_view.hpp"
#include "ck/host_utility/device_prop.hpp"
#include "ck/host_utility/kernel_launch.hpp"

#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/fill.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"

#include "reference_batched_gemm.hpp"
#include "reference_batched_softmax.hpp"
#include "batched_gemm_softmax_gemm.hpp"

int main(int argc, char* argv[])
{
    using QDataType           = ck::half_t;
    using KDataType           = ck::half_t;
    using VDataType           = ck::half_t;
    using SaccDataType        = float;
    using SMPLComputeDataType = float;
    using PDataType           = ck::half_t;
    using OaccDataType        = float;
    using ODataType           = ck::half_t;

    ck::index_t Batch = 16;
    ck::index_t M0    = 3328;
    ck::index_t N0    = 4096;
    ck::index_t K0    = 128;
    ck::index_t N1    = 128;

    if(argc == 6)
    {
        Batch = std::stoi(argv[1]);
        M0    = std::stoi(argv[2]);
        N0    = std::stoi(argv[3]);
        K0    = std::stoi(argv[4]);
        N1    = std::stoi(argv[5]);
    }

    std::array<ck::index_t, 3> q_lengths{Batch, M0, K0};
    std::array<ck::index_t, 3> q_strides{M0 * K0, K0, 1};

    std::array<ck::index_t, 3> k_lengths{Batch, N0, K0};
    std::array<ck::index_t, 3> k_strides{N0 * K0, K0, 1};

    std::array<ck::index_t, 3> v_lengths{Batch, N1, N0};
    std::array<ck::index_t, 3> v_strides{N1 * N0, N0, 1};

    std::array<ck::index_t, 3> s_lengths{Batch, M0, N0};
    std::array<ck::index_t, 3> s_strides{M0 * N0, N0, 1};

    std::array<ck::index_t, 3> p_lengths{Batch, M0, N0};
    std::array<ck::index_t, 3> p_strides{M0 * N0, N0, 1};

    std::array<ck::index_t, 3> o_lengths{Batch, M0, N1};
    std::array<ck::index_t, 3> o_strides{M0 * N1, N1, 1};

    // host verify
    Tensor<QDataType> q_host(q_lengths, q_strides);
    Tensor<KDataType> k_host(k_lengths, k_strides);
    Tensor<VDataType> v_host(v_lengths, v_strides);
    Tensor<SMPLComputeDataType> s_host_ref(s_lengths, s_strides);
    Tensor<PDataType> p_host_ref(p_lengths, p_strides);
    Tensor<ODataType> o_host_ref(o_lengths, o_strides);
    Tensor<ODataType> o_host_dev(o_lengths, o_strides);

#if 0
    ck::utils::FillUniformDistributionIntegerValue<QDataType>{-2.f, 2.f}(q_host);
    ck::utils::FillUniformDistributionIntegerValue<KDataType>{-2.f, 2.f}(k_host);
    ck::utils::FillUniformDistributionIntegerValue<VDataType>{-2.f, 2.f}(v_host);
#else
    ck::utils::FillUniformDistribution<QDataType>{0.f, 1.f}(q_host);
    ck::utils::FillUniformDistribution<KDataType>{0.f, 1.f}(k_host);
    ck::utils::FillUniformDistribution<VDataType>{-.5f, .5f}(v_host);
#endif

    // reference
    reference_batched_gemm<QDataType, KDataType, SaccDataType, SMPLComputeDataType>(
        q_host, k_host, s_host_ref);
    reference_batched_softmax<SMPLComputeDataType, SMPLComputeDataType, PDataType>(s_host_ref,
                                                                                   p_host_ref);
    reference_batched_gemm<PDataType, VDataType, OaccDataType, ODataType>(
        p_host_ref, v_host, o_host_ref);

    DeviceMem q_buf(sizeof(QDataType) * q_host.GetElementSpaceSize());
    DeviceMem k_buf(sizeof(KDataType) * k_host.GetElementSpaceSize());
    DeviceMem v_buf(sizeof(VDataType) * v_host.GetElementSpaceSize());
    DeviceMem o_buf(sizeof(ODataType) * o_host_ref.GetElementSpaceSize());

    q_buf.ToDevice(q_host.mData.data());
    k_buf.ToDevice(k_host.mData.data());
    v_buf.ToDevice(v_host.mData.data());

    constexpr ck::index_t kM0PerBlock = 128;
    constexpr ck::index_t kN0PerBlock = 128;
    constexpr ck::index_t kK0PerBlock = 32;
    constexpr ck::index_t kN1PerBlock = 128;

    constexpr ck::index_t kBlockSize = 256;
    ck::index_t kGridSize            = Batch * (M0 / kM0PerBlock) * (N1 / kN1PerBlock);

    std::cout << "grid size " << kGridSize << std::endl;

    constexpr ck::index_t kWarpPerCu    = 8; // 2 warps per SIMD
    constexpr ck::index_t kWarpPerBlock = kBlockSize / warpSize;
    constexpr ck::index_t kBlockPerCu   = kWarpPerCu / kWarpPerBlock;

    float ave_time =
        launch_kernel<kBlockSize, kBlockPerCu>(StreamConfig{nullptr, true},
                                               BatchedGemmSoftmaxGemm<QDataType,
                                                                      KDataType,
                                                                      VDataType,
                                                                      SaccDataType,
                                                                      SMPLComputeDataType,
                                                                      PDataType,
                                                                      OaccDataType,
                                                                      ODataType,
                                                                      kBlockSize,
                                                                      kM0PerBlock,
                                                                      kN0PerBlock,
                                                                      kK0PerBlock,
                                                                      kN1PerBlock>{},
                                               kGridSize,
                                               kBlockSize,
                                               0,
                                               static_cast<QDataType*>(q_buf.GetDeviceBuffer()),
                                               static_cast<KDataType*>(k_buf.GetDeviceBuffer()),
                                               static_cast<VDataType*>(v_buf.GetDeviceBuffer()),
                                               static_cast<ODataType*>(o_buf.GetDeviceBuffer()),
                                               M0,
                                               N0,
                                               K0,
                                               N1,
                                               Batch,
                                               K0,       // StrideQ
                                               K0,       // StrideK
                                               N0,       // StrideV
                                               N1,       // StrideO
                                               M0 * K0,  // BatchStrideQ
                                               N0 * K0,  // BatchStrideK
                                               N1 * N0,  // BatchStrideV
                                               M0 * N1); // BatchStrideO

    o_buf.FromDevice(o_host_dev.mData.data());

    std::size_t flop =
        std::size_t(2) * Batch * M0 * N0 * K0 + std::size_t(2) * Batch * M0 * N1 * N0;
    std::size_t num_btype =
        sizeof(QDataType) * Batch * M0 * K0 + sizeof(KDataType) * Batch * N0 * K0 +
        sizeof(VDataType) * Batch * N1 * N0 + sizeof(ODataType) * Batch * M0 * N1;

    float tflops = static_cast<float>(flop) / 1.E9 / ave_time;

    float gb_per_sec = num_btype / 1.E6 / ave_time;

    std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s"
              << std::endl;

    return !ck::utils::check_err(o_host_dev, o_host_ref);
}
