/* ************************************************************************
 * Copyright 2016-2021 Advanced Micro Devices, Inc.
 *
 * ************************************************************************ */

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

#include "testing_common.hpp"

using namespace std;

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

template <typename T>
hipblasStatus_t testing_gbmv(const Arguments& argus)
{
    bool FORTRAN       = argus.fortran;
    auto hipblasGbmvFn = FORTRAN ? hipblasGbmv<T, true> : hipblasGbmv<T, false>;

    int M    = argus.M;
    int N    = argus.N;
    int KL   = argus.KL;
    int KU   = argus.KU;
    int lda  = argus.lda;
    int incx = argus.incx;
    int incy = argus.incy;

    size_t A_size = size_t(lda) * N;
    int    dim_x;
    int    dim_y;

    hipblasOperation_t transA = char2hipblas_operation(argus.transA_option);

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

    hipblasLocalHandle handle(argus);

    // argument sanity check, quick return if input parameters are invalid before allocating invalid
    // memory
    bool invalid_size = M < 0 || N < 0 || lda < KL + KU + 1 || !incx || !incy || KL < 0 || KU < 0;
    if(invalid_size || !M || !N)
    {
        hipblasStatus_t actual = hipblasGbmvFn(handle,
                                               transA,
                                               M,
                                               N,
                                               KL,
                                               KU,
                                               nullptr,
                                               nullptr,
                                               lda,
                                               nullptr,
                                               incx,
                                               nullptr,
                                               nullptr,
                                               incy);
        EXPECT_HIPBLAS_STATUS(
            actual, (invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS));
        return actual;
    }

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

    size_t X_size = size_t(dim_x) * abs_incx;
    size_t Y_size = size_t(dim_y) * abs_incy;

    // Naming: dK is in GPU (device) memory. hK is in CPU (host) memory
    host_vector<T> hA(A_size);
    host_vector<T> hx(X_size);
    host_vector<T> hy(Y_size);
    host_vector<T> hy_host(Y_size);
    host_vector<T> hy_device(Y_size);
    host_vector<T> hy_cpu(Y_size);

    device_vector<T> dA(A_size);
    device_vector<T> dx(X_size);
    device_vector<T> dy(Y_size);
    device_vector<T> d_alpha(1);
    device_vector<T> d_beta(1);

    double gpu_time_used, hipblas_error_host, hipblas_error_device;

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

    // Initial Data on CPU
    srand(1);
    hipblas_init<T>(hA, M, N, lda);
    hipblas_init<T>(hx, 1, dim_x, abs_incx);
    hipblas_init<T>(hy, 1, dim_y, abs_incy);

    // copy vector is easy in STL; hy_cpu = hy: save a copy in hy_cpu which will be output of CPU BLAS
    hy_cpu = hy;

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

    if(argus.unit_check || argus.norm_check)
    {
        /* =====================================================================
            HIPBLAS
        =================================================================== */
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
        CHECK_HIPBLAS_ERROR(hipblasGbmvFn(
            handle, transA, M, N, KL, KU, (T*)&h_alpha, dA, lda, dx, incx, (T*)&h_beta, dy, incy));

        CHECK_HIP_ERROR(hipMemcpy(hy_host.data(), dy, sizeof(T) * Y_size, hipMemcpyDeviceToHost));
        CHECK_HIP_ERROR(hipMemcpy(dy, hy.data(), sizeof(T) * Y_size, hipMemcpyHostToDevice));

        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
        CHECK_HIPBLAS_ERROR(hipblasGbmvFn(
            handle, transA, M, N, KL, KU, d_alpha, dA, lda, dx, incx, d_beta, dy, incy));

        CHECK_HIP_ERROR(hipMemcpy(hy_device.data(), dy, sizeof(T) * Y_size, hipMemcpyDeviceToHost));

        /* =====================================================================
           CPU BLAS
        =================================================================== */

        cblas_gbmv<T>(transA,
                      M,
                      N,
                      KL,
                      KU,
                      h_alpha,
                      hA.data(),
                      lda,
                      hx.data(),
                      incx,
                      h_beta,
                      hy_cpu.data(),
                      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(argus.unit_check)
        {
            unit_check_general<T>(1, dim_y, abs_incy, hy_cpu, hy_host);
            unit_check_general<T>(1, dim_y, abs_incy, hy_cpu, hy_device);
        }
        if(argus.norm_check)
        {
            hipblas_error_host
                = norm_check_general<T>('F', 1, dim_y, abs_incy, hy_cpu.data(), hy_host.data());
            hipblas_error_device
                = norm_check_general<T>('F', 1, dim_y, abs_incy, hy_cpu.data(), hy_device.data());
        }
    }

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

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

            CHECK_HIPBLAS_ERROR(hipblasGbmvFn(
                handle, transA, M, N, KL, KU, d_alpha, dA, lda, dx, incx, d_beta, dy, incy));
        }
        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        ArgumentModel<e_M, e_N, e_KL, e_KU, e_alpha, e_lda, e_incx, e_beta, e_incy>{}.log_args<T>(
            std::cout,
            argus,
            gpu_time_used,
            gbmv_gflop_count<T>(transA, M, N, KL, KU),
            gbmv_gbyte_count<T>(transA, M, N, KL, KU),
            hipblas_error_host,
            hipblas_error_device);
    }

    return HIPBLAS_STATUS_SUCCESS;
}