/* ************************************************************************
 * Copyright (C) 2020-2024 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
 * ies of the Software, and to permit persons to whom the Software is furnished
 * to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
 * PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
 * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
 * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
 * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
 * CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 *
 *
 * ************************************************************************ */

#include "clientcommon.hpp"

template <testAPI_t API,
          typename I,
          typename SIZE,
          typename Td,
          typename Id,
          typename INTd,
          typename Th>
void getrf_checkBadArgs(const hipsolverHandle_t   handle,
                        const hipsolverDnParams_t params,
                        const I                   m,
                        const I                   n,
                        Td                        dA,
                        const I                   lda,
                        const I                   stA,
                        Id                        dIpiv,
                        const I                   stP,
                        Td                        dWork,
                        const SIZE                dlwork,
                        Th                        hWork,
                        const SIZE                hlwork,
                        INTd                      dinfo,
                        const int                 bc)
{
    // handle
    EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
                                          false,
                                          nullptr,
                                          params,
                                          m,
                                          n,
                                          dA,
                                          lda,
                                          stA,
                                          dIpiv,
                                          stP,
                                          dWork,
                                          dlwork,
                                          hWork,
                                          hlwork,
                                          dinfo,
                                          bc),
                          HIPSOLVER_STATUS_NOT_INITIALIZED);

    // values
    // N/A

#if defined(__HIP_PLATFORM_HCC__) || defined(__HIP_PLATFORM_AMD__)
    // pointers
    if constexpr(!std::is_same<I, int>::value)
        EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
                                              false,
                                              handle,
                                              (hipsolverDnParams_t) nullptr,
                                              m,
                                              n,
                                              dA,
                                              lda,
                                              stA,
                                              dIpiv,
                                              stP,
                                              dWork,
                                              dlwork,
                                              hWork,
                                              hlwork,
                                              dinfo,
                                              bc),
                              HIPSOLVER_STATUS_INVALID_VALUE);
    EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
                                          false,
                                          handle,
                                          params,
                                          m,
                                          n,
                                          (Td) nullptr,
                                          lda,
                                          stA,
                                          dIpiv,
                                          stP,
                                          dWork,
                                          dlwork,
                                          hWork,
                                          hlwork,
                                          dinfo,
                                          bc),
                          HIPSOLVER_STATUS_INVALID_VALUE);
    EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
                                          false,
                                          handle,
                                          params,
                                          m,
                                          n,
                                          dA,
                                          lda,
                                          stA,
                                          dIpiv,
                                          stP,
                                          dWork,
                                          dlwork,
                                          hWork,
                                          hlwork,
                                          (INTd) nullptr,
                                          bc),
                          HIPSOLVER_STATUS_INVALID_VALUE);
#endif
}

template <testAPI_t API, bool BATCHED, bool STRIDED, typename T, typename I, typename SIZE>
void testing_getrf_bad_arg()
{
    // safe arguments
    hipsolver_local_handle handle;
    hipsolver_local_params params;
    I                      m   = 1;
    I                      n   = 1;
    I                      lda = 1;
    I                      stA = 1;
    I                      stP = 1;
    int                    bc  = 1;

    if(BATCHED)
    {
        // // memory allocations
        // device_batch_vector<T>           dA(1, 1, 1);
        // device_strided_batch_vector<I>   dIpiv(1, 1, 1, 1);
        // device_strided_batch_vector<int> dInfo(1, 1, 1, 1);
        // CHECK_HIP_ERROR(dA.memcheck());
        // CHECK_HIP_ERROR(dIpiv.memcheck());
        // CHECK_HIP_ERROR(dInfo.memcheck());

        // SIZE size_dW, size_hW;
        // hipsolver_getrf_bufferSize(API, handle, params, m, n, dA.data(), lda, &size_dW, &size_hW);
        // host_strided_batch_vector<T>   hWork(size_hW, 1, size_hW, 1);
        // device_strided_batch_vector<T> dWork(size_dW, 1, size_dW, 1);
        // if(size_dW)
        //     CHECK_HIP_ERROR(dWork.memcheck());

        // // check bad arguments
        // getrf_checkBadArgs<API>(
        //     handle, params, m, n, dA.data(), lda, stA, dIpiv.data(), stP, dWork.data(), size_dW, hWork.data(), size_hW, dInfo.data(), bc);
    }
    else
    {
        // memory allocations
        device_strided_batch_vector<T>   dA(1, 1, 1, 1);
        device_strided_batch_vector<I>   dIpiv(1, 1, 1, 1);
        device_strided_batch_vector<int> dInfo(1, 1, 1, 1);
        CHECK_HIP_ERROR(dA.memcheck());
        CHECK_HIP_ERROR(dIpiv.memcheck());
        CHECK_HIP_ERROR(dInfo.memcheck());

        SIZE size_dW, size_hW;
        hipsolver_getrf_bufferSize(API, handle, params, m, n, dA.data(), lda, &size_dW, &size_hW);
        host_strided_batch_vector<T>   hWork(size_hW, 1, size_hW, 1);
        device_strided_batch_vector<T> dWork(size_dW, 1, size_dW, 1);
        if(size_dW)
            CHECK_HIP_ERROR(dWork.memcheck());

        // check bad arguments
        getrf_checkBadArgs<API>(handle,
                                params,
                                m,
                                n,
                                dA.data(),
                                lda,
                                stA,
                                dIpiv.data(),
                                stP,
                                dWork.data(),
                                size_dW,
                                hWork.data(),
                                size_hW,
                                dInfo.data(),
                                bc);
    }
}

template <bool NPVT,
          bool CPU,
          bool GPU,
          typename T,
          typename I,
          typename Td,
          typename Id,
          typename INTd,
          typename Th,
          typename Ih,
          typename INTh>
void getrf_initData(const hipsolverHandle_t   handle,
                    const hipsolverDnParams_t params,
                    const I                   m,
                    const I                   n,
                    Td&                       dA,
                    const I                   lda,
                    const I                   stA,
                    Id&                       dIpiv,
                    const I                   stP,
                    INTd&                     dInfo,
                    const int                 bc,
                    Th&                       hA,
                    Ih&                       hIpiv,
                    INTh&                     hInfo)
{
    if(CPU)
    {
        T tmp;
        rocblas_init<T>(hA, true);

        for(int b = 0; b < bc; ++b)
        {
            // scale A to avoid singularities
            for(I i = 0; i < m; i++)
            {
                for(I j = 0; j < n; j++)
                {
                    if(i == j)
                        hA[b][i + j * lda] += 400;
                    else
                        hA[b][i + j * lda] -= 4;
                }
            }

            if(!NPVT)
            {
                // shuffle rows to test pivoting
                // always the same permuation for debugging purposes
                for(I i = 0; i < m / 2; i++)
                {
                    for(I j = 0; j < n; j++)
                    {
                        tmp                        = hA[b][i + j * lda];
                        hA[b][i + j * lda]         = hA[b][m - 1 - i + j * lda];
                        hA[b][m - 1 - i + j * lda] = tmp;
                    }
                }
            }
        }
    }

    if(GPU)
    {
        // now copy data to the GPU
        CHECK_HIP_ERROR(dA.transfer_from(hA));
    }
}

template <testAPI_t API,
          bool      NPVT,
          typename T,
          typename I,
          typename SIZE,
          typename Td,
          typename Id,
          typename INTd,
          typename Th,
          typename Ih,
          typename INTh>
void getrf_getError(const hipsolverHandle_t   handle,
                    const hipsolverDnParams_t params,
                    const I                   m,
                    const I                   n,
                    Td&                       dA,
                    const I                   lda,
                    const I                   stA,
                    Id&                       dIpiv,
                    const I                   stP,
                    Td&                       dWork,
                    const SIZE                dlwork,
                    Th&                       hWork,
                    const SIZE                hlwork,
                    INTd&                     dInfo,
                    const int                 bc,
                    Th&                       hA,
                    Th&                       hARes,
                    INTh&                     hIpiv,
                    Ih&                       hIpivRes,
                    INTh&                     hInfo,
                    INTh&                     hInfoRes,
                    double*                   max_err)
{
    // input data initialization
    getrf_initData<NPVT, true, true, T>(
        handle, params, m, n, dA, lda, stA, dIpiv, stP, dInfo, bc, hA, hIpiv, hInfo);

    // execute computations
    // GPU lapack
    CHECK_ROCBLAS_ERROR(hipsolver_getrf(API,
                                        NPVT,
                                        handle,
                                        params,
                                        m,
                                        n,
                                        dA.data(),
                                        lda,
                                        stA,
                                        dIpiv.data(),
                                        stP,
                                        dWork.data(),
                                        dlwork,
                                        hWork.data(),
                                        hlwork,
                                        dInfo.data(),
                                        bc));
    CHECK_HIP_ERROR(hARes.transfer_from(dA));
    CHECK_HIP_ERROR(hIpivRes.transfer_from(dIpiv));
    CHECK_HIP_ERROR(hInfoRes.transfer_from(dInfo));

    // CPU lapack
    for(int b = 0; b < bc; ++b)
        cpu_getrf(m, n, hA[b], lda, hIpiv[b], hInfo[b]);

    // expecting original matrix to be non-singular
    // error is ||hA - hARes|| / ||hA|| (ideally ||LU - Lres Ures|| / ||LU||)
    // (THIS DOES NOT ACCOUNT FOR NUMERICAL REPRODUCIBILITY ISSUES.
    // IT MIGHT BE REVISITED IN THE FUTURE)
    // using frobenius norm
    double err;
    *max_err = 0;
    for(int b = 0; b < bc; ++b)
    {
        err      = norm_error('F', m, n, lda, hA[b], hARes[b]);
        *max_err = err > *max_err ? err : *max_err;

        // also check pivoting (count the number of incorrect pivots)
        if(!NPVT)
        {
            err = 0;
            for(I i = 0; i < min(m, n); ++i)
            {
                EXPECT_EQ(hIpiv[b][i], hIpivRes[b][i]) << "where b = " << b << ", i = " << i;
                if(hIpiv[b][i] != hIpivRes[b][i])
                    err++;
            }
            *max_err = err > *max_err ? err : *max_err;
        }
    }

    // also check info for singularities
    err = 0;
    for(int b = 0; b < bc; ++b)
    {
        EXPECT_EQ(hInfo[b][0], hInfoRes[b][0]) << "where b = " << b;
        if(hInfo[b][0] != hInfoRes[b][0])
            err++;
    }
    *max_err += err;
}

template <testAPI_t API,
          bool      NPVT,
          typename T,
          typename I,
          typename SIZE,
          typename Td,
          typename Id,
          typename INTd,
          typename Th,
          typename INTh>
void getrf_getPerfData(const hipsolverHandle_t   handle,
                       const hipsolverDnParams_t params,
                       const I                   m,
                       const I                   n,
                       Td&                       dA,
                       const I                   lda,
                       const I                   stA,
                       Id&                       dIpiv,
                       const I                   stP,
                       Td&                       dWork,
                       const SIZE                dlwork,
                       Th&                       hWork,
                       const SIZE                hlwork,
                       INTd&                     dInfo,
                       const int                 bc,
                       Th&                       hA,
                       INTh&                     hIpiv,
                       INTh&                     hInfo,
                       double*                   gpu_time_used,
                       double*                   cpu_time_used,
                       const int                 hot_calls,
                       const bool                perf)
{
    if(!perf)
    {
        getrf_initData<NPVT, true, false, T>(
            handle, params, m, n, dA, lda, stA, dIpiv, stP, dInfo, bc, hA, hIpiv, hInfo);

        // cpu-lapack performance (only if not in perf mode)
        *cpu_time_used = get_time_us_no_sync();
        for(int b = 0; b < bc; ++b)
            cpu_getrf(m, n, hA[b], lda, hIpiv[b], hInfo[b]);
        *cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
    }

    getrf_initData<NPVT, true, false, T>(
        handle, params, m, n, dA, lda, stA, dIpiv, stP, dInfo, bc, hA, hIpiv, hInfo);

    // cold calls
    for(int iter = 0; iter < 2; iter++)
    {
        getrf_initData<NPVT, false, true, T>(
            handle, params, m, n, dA, lda, stA, dIpiv, stP, dInfo, bc, hA, hIpiv, hInfo);

        CHECK_ROCBLAS_ERROR(hipsolver_getrf(API,
                                            NPVT,
                                            handle,
                                            params,
                                            m,
                                            n,
                                            dA.data(),
                                            lda,
                                            stA,
                                            dIpiv.data(),
                                            stP,
                                            dWork.data(),
                                            dlwork,
                                            hWork.data(),
                                            hlwork,
                                            dInfo.data(),
                                            bc));
    }

    // gpu-lapack performance
    hipStream_t stream;
    CHECK_ROCBLAS_ERROR(hipsolverGetStream(handle, &stream));
    double start;

    for(int iter = 0; iter < hot_calls; iter++)
    {
        getrf_initData<NPVT, false, true, T>(
            handle, params, m, n, dA, lda, stA, dIpiv, stP, dInfo, bc, hA, hIpiv, hInfo);

        start = get_time_us_sync(stream);
        hipsolver_getrf(API,
                        NPVT,
                        handle,
                        params,
                        m,
                        n,
                        dA.data(),
                        lda,
                        stA,
                        dIpiv.data(),
                        stP,
                        dWork.data(),
                        dlwork,
                        hWork.data(),
                        hlwork,
                        dInfo.data(),
                        bc);
        *gpu_time_used += get_time_us_sync(stream) - start;
    }
    *gpu_time_used /= hot_calls;
}

template <testAPI_t API,
          bool      BATCHED,
          bool      STRIDED,
          bool      NPVT,
          typename T,
          typename I,
          typename SIZE>
void testing_getrf(Arguments& argus)
{
    // get arguments
    hipsolver_local_handle handle;
    hipsolver_local_params params;
    I                      m   = argus.get<int>("m");
    I                      n   = argus.get<int>("n", m);
    I                      lda = argus.get<int>("lda", m);
    I                      stA = argus.get<int>("strideA", lda * n);
    I                      stP = argus.get<int>("strideP", min(m, n));

    int bc        = argus.batch_count;
    int hot_calls = argus.iters;

    I stARes = (argus.unit_check || argus.norm_check) ? stA : 0;
    I stPRes = (argus.unit_check || argus.norm_check) ? stP : 0;

    // check non-supported values
    // N/A

    // determine sizes
    size_t size_A    = size_t(lda) * n;
    size_t size_P    = size_t(min(m, n));
    double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;

    size_t size_ARes = (argus.unit_check || argus.norm_check) ? size_A : 0;
    size_t size_PRes = (argus.unit_check || argus.norm_check) ? size_P : 0;

    // check invalid sizes
    bool invalid_size = (m <= 0 || n <= 0 || lda < m || bc <= 0);
    if(invalid_size)
    {
#if defined(__HIP_PLATFORM_HCC__) || defined(__HIP_PLATFORM_AMD__)
        if(BATCHED)
        {
            // EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
            //                                       NPVT,
            //                                       handle,
            //                                       params,
            //                                       m,
            //                                       n,
            //                                       (T* const*)nullptr,
            //                                       lda,
            //                                       stA,
            //                                       (I*)nullptr,
            //                                       stP,
            //                                       (T*)nullptr,
            //                                       0,
            //                                       (T*)nullptr,
            //                                       0,
            //                                       (int*)nullptr,
            //                                       bc),
            //                       HIPSOLVER_STATUS_INVALID_VALUE);
        }
        else
        {
            EXPECT_ROCBLAS_STATUS(hipsolver_getrf(API,
                                                  NPVT,
                                                  handle,
                                                  params,
                                                  m,
                                                  n,
                                                  (T*)nullptr,
                                                  lda,
                                                  stA,
                                                  (I*)nullptr,
                                                  stP,
                                                  (T*)nullptr,
                                                  0,
                                                  (T*)nullptr,
                                                  0,
                                                  (int*)nullptr,
                                                  bc),
                                  HIPSOLVER_STATUS_INVALID_VALUE);
        }
#endif

        if(argus.timing)
            rocsolver_bench_inform(inform_invalid_size);

        return;
    }

    // memory size query is necessary
    SIZE size_dW, size_hW;
    hipsolver_getrf_bufferSize(API, handle, params, m, n, (T*)nullptr, lda, &size_dW, &size_hW);

    if(argus.mem_query)
    {
        rocsolver_bench_inform(inform_mem_query, size_dW);
        return;
    }

    if(BATCHED)
    {
        // // memory allocations
        // host_batch_vector<T>             hA(size_A, 1, bc);
        // host_batch_vector<T>             hARes(size_ARes, 1, bc);
        // host_strided_batch_vector<int>   hIpiv(size_P, 1, stP, bc);
        // host_strided_batch_vector<I>     hIpivRes(size_PRes, 1, stPRes, bc);
        // host_strided_batch_vector<int>   hInfo(1, 1, 1, bc);
        // host_strided_batch_vector<int>   hInfoRes(1, 1, 1, bc);
        // host_strided_batch_vector<T>     hWork(size_hW, 1, size_hW, 1); // size_hW accounts for bc
        // device_batch_vector<T>           dA(size_A, 1, bc);
        // device_strided_batch_vector<I>   dIpiv(size_P, 1, stP, bc);
        // device_strided_batch_vector<int> dInfo(1, 1, 1, bc);
        // device_strided_batch_vector<T>   dWork(size_dW, 1, size_dW, 1); // size_dW accounts for bc
        // if(size_A)
        //     CHECK_HIP_ERROR(dA.memcheck());
        // CHECK_HIP_ERROR(dInfo.memcheck());
        // if(size_P)
        //     CHECK_HIP_ERROR(dIpiv.memcheck());
        // if(size_dW)
        //     CHECK_HIP_ERROR(dWork.memcheck());

        // // check computations
        // if(argus.unit_check || argus.norm_check)
        //     getrf_getError<API, NPVT, T>(handle,
        //                                  params,
        //                                  m,
        //                                  n,
        //                                  dA,
        //                                  lda,
        //                                  stA,
        //                                  dIpiv,
        //                                  stP,
        //                                  dWork,
        //                                  size_dW,
        //                                  hWork,
        //                                  size_hW,
        //                                  dInfo,
        //                                  bc,
        //                                  hA,
        //                                  hARes,
        //                                  hIpiv,
        //                                  hIpivRes,
        //                                  hInfo,
        //                                  hInfoRes,
        //                                  &max_error);

        // // collect performance data
        // if(argus.timing)
        //     getrf_getPerfData<API, NPVT, T>(handle,
        //                                     params,
        //                                     m,
        //                                     n,
        //                                     dA,
        //                                     lda,
        //                                     stA,
        //                                     dIpiv,
        //                                     stP,
        //                                     dWork,
        //                                     size_dW,
        //                                     hWork,
        //                                     size_hW,
        //                                     dInfo,
        //                                     bc,
        //                                     hA,
        //                                     hIpiv,
        //                                     hInfo,
        //                                     &gpu_time_used,
        //                                     &cpu_time_used,
        //                                     hot_calls,
        //                                     argus.perf);
    }

    else
    {
        // memory allocations
        host_strided_batch_vector<T>     hA(size_A, 1, stA, bc);
        host_strided_batch_vector<T>     hARes(size_ARes, 1, stARes, bc);
        host_strided_batch_vector<int>   hIpiv(size_P, 1, stP, bc);
        host_strided_batch_vector<I>     hIpivRes(size_PRes, 1, stPRes, bc);
        host_strided_batch_vector<int>   hInfo(1, 1, 1, bc);
        host_strided_batch_vector<int>   hInfoRes(1, 1, 1, bc);
        host_strided_batch_vector<T>     hWork(size_hW, 1, size_hW, 1); // size_hW accounts for bc
        device_strided_batch_vector<T>   dA(size_A, 1, stA, bc);
        device_strided_batch_vector<I>   dIpiv(size_P, 1, stP, bc);
        device_strided_batch_vector<int> dInfo(1, 1, 1, bc);
        device_strided_batch_vector<T>   dWork(size_dW, 1, size_dW, 1); // size_dW accounts for bc
        if(size_A)
            CHECK_HIP_ERROR(dA.memcheck());
        CHECK_HIP_ERROR(dInfo.memcheck());
        if(size_P)
            CHECK_HIP_ERROR(dIpiv.memcheck());
        if(size_dW)
            CHECK_HIP_ERROR(dWork.memcheck());

        // check computations
        if(argus.unit_check || argus.norm_check)
            getrf_getError<API, NPVT, T>(handle,
                                         params,
                                         m,
                                         n,
                                         dA,
                                         lda,
                                         stA,
                                         dIpiv,
                                         stP,
                                         dWork,
                                         size_dW,
                                         hWork,
                                         size_hW,
                                         dInfo,
                                         bc,
                                         hA,
                                         hARes,
                                         hIpiv,
                                         hIpivRes,
                                         hInfo,
                                         hInfoRes,
                                         &max_error);

        // collect performance data
        if(argus.timing)
            getrf_getPerfData<API, NPVT, T>(handle,
                                            params,
                                            m,
                                            n,
                                            dA,
                                            lda,
                                            stA,
                                            dIpiv,
                                            stP,
                                            dWork,
                                            size_dW,
                                            hWork,
                                            size_hW,
                                            dInfo,
                                            bc,
                                            hA,
                                            hIpiv,
                                            hInfo,
                                            &gpu_time_used,
                                            &cpu_time_used,
                                            hot_calls,
                                            argus.perf);
    }

    // validate results for rocsolver-test
    // using min(m,n) * machine_precision as tolerance
    if(argus.unit_check)
        ROCSOLVER_TEST_CHECK(T, max_error, min(m, n));

    // output results for rocsolver-bench
    if(argus.timing)
    {
        if(!argus.perf)
        {
            std::cerr << "\n============================================\n";
            std::cerr << "Arguments:\n";
            std::cerr << "============================================\n";
            if(BATCHED)
            {
                rocsolver_bench_output("m", "n", "lda", "strideP", "batch_c");
                rocsolver_bench_output(m, n, lda, stP, bc);
            }
            else if(STRIDED)
            {
                rocsolver_bench_output("m", "n", "lda", "strideA", "strideP", "batch_c");
                rocsolver_bench_output(m, n, lda, stA, stP, bc);
            }
            else
            {
                rocsolver_bench_output("m", "n", "lda");
                rocsolver_bench_output(m, n, lda);
            }
            std::cerr << "\n============================================\n";
            std::cerr << "Results:\n";
            std::cerr << "============================================\n";
            if(argus.norm_check)
            {
                rocsolver_bench_output("cpu_time", "gpu_time", "error");
                rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error);
            }
            else
            {
                rocsolver_bench_output("cpu_time", "gpu_time");
                rocsolver_bench_output(cpu_time_used, gpu_time_used);
            }
            std::cerr << std::endl;
        }
        else
        {
            if(argus.norm_check)
                rocsolver_bench_output(gpu_time_used, max_error);
            else
                rocsolver_bench_output(gpu_time_used);
        }
    }

    // ensure all arguments were consumed
    argus.validate_consumed();
}