/* ************************************************************************
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#include <fstream>
#include <iostream>
#include <stdlib.h>
#include <vector>

#include "testing_common.hpp"

/* ============================================================================================ */

using hipblasGemvStridedBatchedModel = ArgumentModel<e_a_type,
                                                     e_transA,
                                                     e_M,
                                                     e_N,
                                                     e_alpha,
                                                     e_lda,
                                                     e_incx,
                                                     e_beta,
                                                     e_incy,
                                                     e_stride_scale,
                                                     e_batch_count>;

inline void testname_gemv_strided_batched(const Arguments& arg, std::string& name)
{
    hipblasGemvStridedBatchedModel{}.test_name(arg, name);
}

template <typename T>
void testing_gemv_strided_batched_bad_arg(const Arguments& arg)
{
    bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
    auto hipblasGemvStridedBatchedFn
        = FORTRAN ? hipblasGemvStridedBatched<T, true> : hipblasGemvStridedBatched<T, false>;

    auto hipblasGemvStridedBatchedFn_64 = arg.api == FORTRAN_64
                                              ? hipblasGemvStridedBatched_64<T, true>
                                              : hipblasGemvStridedBatched_64<T, false>;

    for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE})
    {
        hipblasLocalHandle handle(arg);
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode));

        hipblasOperation_t transA      = HIPBLAS_OP_N;
        int64_t            N           = 100;
        int64_t            M           = 100;
        int64_t            lda         = 100;
        int64_t            incx        = 1;
        int64_t            incy        = 1;
        int64_t            batch_count = 2;

        hipblasStride stride_A = N * lda;
        hipblasStride stride_x = N * incx;
        hipblasStride stride_y = M * incy;

        device_vector<T> d_alpha(1), d_beta(1), d_one(1), d_zero(1);

        const T  h_alpha(1), h_beta(2), h_one(1), h_zero(0);
        const T* alpha = &h_alpha;
        const T* beta  = &h_beta;
        const T* one   = &h_one;
        const T* zero  = &h_zero;

        if(pointer_mode == HIPBLAS_POINTER_MODE_DEVICE)
        {
            CHECK_HIP_ERROR(hipMemcpy(d_alpha, alpha, sizeof(*alpha), hipMemcpyHostToDevice));
            CHECK_HIP_ERROR(hipMemcpy(d_beta, beta, sizeof(*beta), hipMemcpyHostToDevice));
            CHECK_HIP_ERROR(hipMemcpy(d_one, one, sizeof(*one), hipMemcpyHostToDevice));
            CHECK_HIP_ERROR(hipMemcpy(d_zero, zero, sizeof(*zero), hipMemcpyHostToDevice));
            alpha = d_alpha;
            beta  = d_beta;
            one   = d_one;
            zero  = d_zero;
        }

        device_strided_batch_matrix<T> dA(M, N, lda, stride_A, batch_count);
        device_strided_batch_vector<T> dx(N, incx, stride_x, batch_count);
        device_strided_batch_vector<T> dy(M, incy, stride_y, batch_count);

        DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM,
                    hipblasGemvStridedBatchedFn,
                    (handle,
                     (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL,
                     M,
                     N,
                     alpha,
                     dA,
                     lda,
                     stride_A,
                     dx,
                     incx,
                     stride_x,
                     beta,
                     dy,
                     incy,
                     stride_y,
                     batch_count));

        if(arg.bad_arg_all)
        {
            DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
                        hipblasGemvStridedBatchedFn,
                        (nullptr,
                         transA,
                         M,
                         N,
                         alpha,
                         dA,
                         lda,
                         stride_A,
                         dx,
                         incx,
                         stride_x,
                         beta,
                         dy,
                         incy,
                         stride_y,
                         batch_count));

            DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                        hipblasGemvStridedBatchedFn,
                        (handle,
                         transA,
                         M,
                         N,
                         nullptr,
                         dA,
                         lda,
                         stride_A,
                         dx,
                         incx,
                         stride_x,
                         beta,
                         dy,
                         incy,
                         stride_y,
                         batch_count));

            DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                        hipblasGemvStridedBatchedFn,
                        (handle,
                         transA,
                         M,
                         N,
                         alpha,
                         dA,
                         lda,
                         stride_A,
                         dx,
                         incx,
                         stride_x,
                         nullptr,
                         dy,
                         incy,
                         stride_y,
                         batch_count));

            if(pointer_mode == HIPBLAS_POINTER_MODE_HOST)
            {
                // For device mode in rocBLAS we don't have checks for dA, dx, dy as we may be able to quick return
                DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                            hipblasGemvStridedBatchedFn,
                            (handle,
                             transA,
                             M,
                             N,
                             alpha,
                             nullptr,
                             lda,
                             stride_A,
                             dx,
                             incx,
                             stride_x,
                             beta,
                             dy,
                             incy,
                             stride_y,
                             batch_count));

                DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                            hipblasGemvStridedBatchedFn,
                            (handle,
                             transA,
                             M,
                             N,
                             alpha,
                             dA,
                             lda,
                             stride_A,
                             nullptr,
                             incx,
                             stride_x,
                             beta,
                             dy,
                             incy,
                             stride_y,
                             batch_count));

                DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                            hipblasGemvStridedBatchedFn,
                            (handle,
                             transA,
                             M,
                             N,
                             alpha,
                             dA,
                             lda,
                             stride_A,
                             dx,
                             incx,
                             stride_x,
                             beta,
                             nullptr,
                             incy,
                             stride_y,
                             batch_count));

                // rocBLAS implementation has alpha == 0 and beta == 1 quick return after arg checks, so if we're using 32-bit params,
                // this should fail with invalid-value as c_i32_overflow will rollover to -2147483648
                // Note: that this strategy can't check incx as rocBLAS supports negative. Also depends on implementation so not testing cuBLAS for now

                DAPI_EXPECT((arg.api & c_API_64) ? HIPBLAS_STATUS_SUCCESS
                                                 : HIPBLAS_STATUS_INVALID_VALUE,
                            hipblasGemvStridedBatchedFn,
                            (handle,
                             transA,
                             c_i32_overflow,
                             c_i32_overflow,
                             zero,
                             nullptr,
                             c_i32_overflow + 1,
                             stride_A,
                             nullptr,
                             incx,
                             stride_x,
                             one,
                             nullptr,
                             incy,
                             stride_y,
                             batch_count));
            }

            // With alpha == 0 can have x nullptr
            DAPI_CHECK(hipblasGemvStridedBatchedFn,
                       (handle,
                        transA,
                        M,
                        N,
                        zero,
                        nullptr,
                        lda,
                        stride_A,
                        nullptr,
                        incx,
                        stride_x,
                        beta,
                        dy,
                        incy,
                        stride_y,
                        batch_count));

            // With alpha == 0 && beta == 1, all other ptrs can be nullptr
            DAPI_CHECK(hipblasGemvStridedBatchedFn,
                       (handle,
                        transA,
                        M,
                        N,
                        zero,
                        nullptr,
                        lda,
                        stride_A,
                        nullptr,
                        incx,
                        stride_x,
                        one,
                        nullptr,
                        incy,
                        stride_y,
                        batch_count));
        }

        // With M == 0 || N == 0, can have all nullptrs
        DAPI_CHECK(hipblasGemvStridedBatchedFn,
                   (handle,
                    transA,
                    0,
                    N,
                    nullptr,
                    nullptr,
                    lda,
                    stride_A,
                    nullptr,
                    incx,
                    stride_x,
                    nullptr,
                    nullptr,
                    incy,
                    stride_y,
                    batch_count));
        DAPI_CHECK(hipblasGemvStridedBatchedFn,
                   (handle,
                    transA,
                    M,
                    0,
                    nullptr,
                    nullptr,
                    lda,
                    stride_A,
                    nullptr,
                    incx,
                    stride_x,
                    nullptr,
                    nullptr,
                    incy,
                    stride_y,
                    batch_count));
        DAPI_CHECK(hipblasGemvStridedBatchedFn,
                   (handle,
                    transA,
                    M,
                    N,
                    nullptr,
                    nullptr,
                    lda,
                    stride_A,
                    nullptr,
                    incx,
                    stride_x,
                    nullptr,
                    nullptr,
                    incy,
                    stride_y,
                    0));
    }
}

template <typename T>
void testing_gemv_strided_batched(const Arguments& arg)
{
    bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
    auto hipblasGemvStridedBatchedFn
        = FORTRAN ? hipblasGemvStridedBatched<T, true> : hipblasGemvStridedBatched<T, false>;

    auto hipblasGemvStridedBatchedFn_64 = arg.api == FORTRAN_64
                                              ? hipblasGemvStridedBatched_64<T, true>
                                              : hipblasGemvStridedBatched_64<T, false>;

    int64_t M            = arg.M;
    int64_t N            = arg.N;
    int64_t lda          = arg.lda;
    int64_t incx         = arg.incx;
    int64_t incy         = arg.incy;
    int64_t batch_count  = arg.batch_count;
    double  stride_scale = arg.stride_scale;

    hipblasStride stride_A = lda * N * stride_scale;
    hipblasStride stride_x;
    hipblasStride stride_y;

    size_t A_size = stride_A * batch_count;
    size_t X_size, dim_x;
    size_t Y_size, dim_y;

    hipblasOperation_t transA = char2hipblas_operation(arg.transA);

    if(transA == HIPBLAS_OP_N)
    {
        dim_x = N;
        dim_y = M;
    }
    else
    {
        dim_x = M;
        dim_y = N;
    }

    size_t abs_incx = incx >= 0 ? incx : -incx;
    size_t abs_incy = incy >= 0 ? incy : -incy;

    stride_x = dim_x * abs_incx * stride_scale;
    stride_y = dim_y * abs_incy * stride_scale;

    hipblasLocalHandle handle(arg);

    // argument sanity check, quick return if input parameters are invalid before allocating invalid
    // memory
    bool invalid_size = M < 0 || N < 0 || lda < M || lda < 1 || !incx || !incy || batch_count < 0;
    if(invalid_size || !M || !N || !batch_count)
    {
        if(!invalid_size || arg.bad_arg_all)
        {
            DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS,
                        hipblasGemvStridedBatchedFn,
                        (handle,
                         transA,
                         M,
                         N,
                         nullptr,
                         nullptr,
                         lda,
                         stride_A,
                         nullptr,
                         incx,
                         stride_x,
                         nullptr,
                         nullptr,
                         incy,
                         stride_y,
                         batch_count));
        }
        return;
    }

    // Naming: dA is in GPU (device) memory. hA is in CPU (host) memory
    host_strided_batch_matrix<T> hA(M, N, lda, stride_A, batch_count);
    host_strided_batch_vector<T> hx(dim_x, incx, stride_x, batch_count);
    host_strided_batch_vector<T> hy(dim_y, incy, stride_y, batch_count);
    host_strided_batch_vector<T> hy_cpu(dim_y, incy, stride_y, batch_count);
    host_strided_batch_vector<T> hy_host(dim_y, incy, stride_y, batch_count);
    host_strided_batch_vector<T> hy_device(dim_y, incy, stride_y, batch_count);

    device_strided_batch_matrix<T> dA(M, N, lda, stride_A, batch_count);
    device_strided_batch_vector<T> dx(dim_x, incx, stride_x, batch_count);
    device_strided_batch_vector<T> dy(dim_y, incy, stride_y, batch_count);
    device_vector<T>               d_alpha(1);
    device_vector<T>               d_beta(1);

    // Check device memory allocation
    CHECK_DEVICE_ALLOCATION(dA.memcheck());
    CHECK_DEVICE_ALLOCATION(dx.memcheck());
    CHECK_DEVICE_ALLOCATION(dy.memcheck());
    CHECK_DEVICE_ALLOCATION(d_alpha.memcheck());
    CHECK_DEVICE_ALLOCATION(d_beta.memcheck());

    double hipblas_error_host, hipblas_error_device;

    T h_alpha = arg.get_alpha<T>();
    T h_beta  = arg.get_beta<T>();

    // Initial Data on CPU
    hipblas_init_matrix(hA, arg, hipblas_client_alpha_sets_nan, hipblas_general_matrix, true);
    hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, false, true);
    hipblas_init_vector(hy, arg, hipblas_client_beta_sets_nan);

    // copy vector
    hy_cpu.copy_from(hy);

    // copy data from CPU to device
    CHECK_HIP_ERROR(dA.transfer_from(hA));
    CHECK_HIP_ERROR(dx.transfer_from(hx));
    CHECK_HIP_ERROR(dy.transfer_from(hy));
    CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));

    if(arg.unit_check || arg.norm_check)
    {
        /* =====================================================================
            HIPBLAS
        =================================================================== */

        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
        DAPI_CHECK(hipblasGemvStridedBatchedFn,
                   (handle,
                    transA,
                    M,
                    N,
                    (T*)&h_alpha,
                    dA,
                    lda,
                    stride_A,
                    dx,
                    incx,
                    stride_x,
                    (T*)&h_beta,
                    dy,
                    incy,
                    stride_y,
                    batch_count));

        CHECK_HIP_ERROR(hy_host.transfer_from(dy));
        CHECK_HIP_ERROR(dy.transfer_from(hy));

        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
        DAPI_CHECK(hipblasGemvStridedBatchedFn,
                   (handle,
                    transA,
                    M,
                    N,
                    d_alpha,
                    dA,
                    lda,
                    stride_A,
                    dx,
                    incx,
                    stride_x,
                    d_beta,
                    dy,
                    incy,
                    stride_y,
                    batch_count));

        CHECK_HIP_ERROR(hy_device.transfer_from(dy));

        /* =====================================================================
           CPU BLAS
        =================================================================== */
        for(size_t b = 0; b < batch_count; b++)
        {
            ref_gemv<T>(transA, M, N, h_alpha, hA[b], lda, hx[b], incx, h_beta, hy_cpu[b], incy);
        }

        // enable unit check, notice unit check is not invasive, but norm check is,
        // unit check and norm check can not be interchanged their order
        if(arg.unit_check)
        {
            unit_check_general<T>(1, dim_y, batch_count, abs_incy, stride_y, hy_cpu, hy_host);
            unit_check_general<T>(1, dim_y, batch_count, abs_incy, stride_y, hy_cpu, hy_device);
        }
        if(arg.norm_check)
        {
            hipblas_error_host = norm_check_general<T>(
                'F', 1, dim_y, abs_incy, stride_y, hy_cpu, hy_host, batch_count);
            hipblas_error_device = norm_check_general<T>(
                'F', 1, dim_y, abs_incy, stride_y, hy_cpu, hy_device, batch_count);
        }
    }

    if(arg.timing)
    {
        double gpu_time_used;
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
        CHECK_HIP_ERROR(hipMemcpy(dy, hy.data(), sizeof(T) * Y_size, hipMemcpyHostToDevice));
        hipStream_t stream;
        CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));

        int runs = arg.cold_iters + arg.iters;
        for(int iter = 0; iter < runs; iter++)
        {
            if(iter == arg.cold_iters)
            {
                gpu_time_used = get_time_us_sync(stream);
            }

            DAPI_DISPATCH(hipblasGemvStridedBatchedFn,
                          (handle,
                           transA,
                           M,
                           N,
                           d_alpha,
                           dA,
                           lda,
                           stride_A,
                           dx,
                           incx,
                           stride_x,
                           d_beta,
                           dy,
                           incy,
                           stride_y,
                           batch_count));
        }

        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        hipblasGemvStridedBatchedModel{}.log_args<T>(std::cout,
                                                     arg,
                                                     gpu_time_used,
                                                     gemv_gflop_count<T>(transA, M, N),
                                                     gemv_gbyte_count<T>(transA, M, N),
                                                     hipblas_error_host,
                                                     hipblas_error_device);
    }
}
