/* ************************************************************************
 * Copyright 2018-2019 Advanced Micro Devices, Inc.
 * ************************************************************************ */

#include "cblas_interface.hpp"
#include "flops.hpp"
#include "norm.hpp"
#include "rocblas.hpp"
#include "rocblas_init.hpp"
#include "rocblas_math.hpp"
#include "rocblas_random.hpp"
#include "rocblas_test.hpp"
#include "rocblas_vector.hpp"
#include "unit.hpp"
#include "utility.hpp"

/* ============================================================================================ */
template <typename T>
void testing_axpy_strided_batched_bad_arg(const Arguments& arg)
{
    rocblas_local_handle handle;
    rocblas_int          N = 100, incx = 1, incy = 1, batch_count = arg.batch_count;

    rocblas_stride stridex = arg.stride_x, stridey = arg.stride_y;

    T alpha = 0.6;

    device_strided_batch_vector<T> dx(10, 1, 10, 2), dy(10, 1, 10, 2);

    CHECK_HIP_ERROR(dx.memcheck());
    CHECK_HIP_ERROR(dy.memcheck());

    EXPECT_ROCBLAS_STATUS(
        rocblas_axpy_strided_batched<T>(
            handle, N, &alpha, nullptr, incx, stridex, dy, incy, stridey, batch_count),
        rocblas_status_invalid_pointer);

    EXPECT_ROCBLAS_STATUS(
        rocblas_axpy_strided_batched<T>(
            handle, N, &alpha, dx, incx, stridex, nullptr, incy, stridey, batch_count),
        rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS(
        rocblas_axpy_strided_batched<T>(
            handle, N, nullptr, dx, incx, stridex, dy, incy, stridey, batch_count),
        rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS(
        rocblas_axpy_strided_batched<T>(
            nullptr, N, &alpha, dx, incx, stridex, dy, incy, stridey, batch_count),
        rocblas_status_invalid_handle);
}

template <typename T>
void testing_axpy_strided_batched(const Arguments& arg)
{
    rocblas_int N = arg.N, incx = arg.incx, incy = arg.incy, batch_count = arg.batch_count;

    rocblas_stride stridex = arg.stride_x, stridey = arg.stride_y;

    T                    h_alpha = arg.get_alpha<T>();
    rocblas_local_handle handle;

    // argument sanity check before allocating invalid memory
    if(N <= 0 || batch_count <= 0)
    {
        device_strided_batch_vector<T> dx(10, 1, 10, 2), dy(10, 1, 10, 2);

        CHECK_HIP_ERROR(dx.memcheck());
        CHECK_HIP_ERROR(dy.memcheck());

        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        EXPECT_ROCBLAS_STATUS(
            rocblas_axpy_strided_batched<T>(
                handle, N, &h_alpha, dx, incx, stridex, dy, incy, stridey, batch_count),
            (N > 0 && batch_count < 0) ? rocblas_status_invalid_size : rocblas_status_success);
        return;
    }

    rocblas_int abs_incy = std::abs(incy);

    //
    // Host memory.
    //
    host_strided_batch_vector<T> hx(N, incx, stridex, batch_count),
        hy(N, incy, stridey, batch_count), hy1(N, incy, stridey, batch_count),
        hy2(N, incy, stridey, batch_count);
    host_vector<T> halpha(1);

    CHECK_HIP_ERROR(hx.memcheck());
    CHECK_HIP_ERROR(hy.memcheck());
    CHECK_HIP_ERROR(hy1.memcheck());
    CHECK_HIP_ERROR(hy2.memcheck());
    CHECK_HIP_ERROR(halpha.memcheck());

    device_strided_batch_vector<T> dx(N, incx, stridex, batch_count),
        dy(N, incy, stridey, batch_count);
    device_vector<T> dalpha(1);
    CHECK_HIP_ERROR(dx.memcheck());
    CHECK_HIP_ERROR(dy.memcheck());
    CHECK_HIP_ERROR(dalpha.memcheck());

    halpha[0] = h_alpha;

    //
    // Initialize host memory.
    // TODO: add NaN testing when roblas_isnan(arg.alpha) returns true.
    //

    rocblas_init(hx, true);
    rocblas_init(hy, false);

    //
    // Device memory.
    //

    double gpu_time_used, cpu_time_used;
    double rocblas_gflops, cblas_gflops, rocblas_bandwidth;
    double rocblas_error_1 = 0.0;
    double rocblas_error_2 = 0.0;

    if(arg.unit_check || arg.norm_check)
    {

        //
        // Transfer host to device
        //
        CHECK_HIP_ERROR(dx.transfer_from(hx));

        //
        // Call routine with pointer mode on host.
        //
        {

            //
            // Pointer mode.
            //
            CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
            //
            // Transfer host to device
            //
            CHECK_HIP_ERROR(dy.transfer_from(hy));

            //
            // Call routine.
            //
            CHECK_ROCBLAS_ERROR(rocblas_axpy_strided_batched<T>(
                handle, N, halpha, dx, incx, stridex, dy, incy, stridey, batch_count));

            CHECK_HIP_ERROR(hy1.transfer_from(dy));

            //
            // Pointer mode.
            //
            CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
            //
            // Transfer host to device
            //
            CHECK_HIP_ERROR(dy.transfer_from(hy));
            CHECK_HIP_ERROR(dalpha.transfer_from(halpha));
            //
            // Call routine.
            //
            CHECK_ROCBLAS_ERROR(rocblas_axpy_strided_batched<T>(
                handle, N, dalpha, dx, incx, stridex, dy, incy, stridey, batch_count));

            //
            // Transfer from device to host.
            //
            CHECK_HIP_ERROR(hy2.transfer_from(dy));

            //
            // CPU BLAS
            //
            {
                cpu_time_used = get_time_us();

                //
                // Compute the host solution.
                //
                for(rocblas_int batch_index = 0; batch_index < batch_count; ++batch_index)
                {
                    cblas_axpy<T>(N, h_alpha, hx[batch_index], incx, hy[batch_index], incy);
                }
                cpu_time_used = get_time_us() - cpu_time_used;
                cblas_gflops  = axpy_gflop_count<T>(N * batch_count) / cpu_time_used * 1e6;
            }

            //
            // Compare with with the solution.
            //
            if(arg.unit_check)
            {

                unit_check_general<T>(1, N, batch_count, abs_incy, stridey, hy, hy1);

                unit_check_general<T>(1, N, batch_count, abs_incy, stridey, hy, hy2);
            }

            if(arg.norm_check)
            {
                rocblas_error_1
                    = norm_check_general<T>('I', 1, N, abs_incy, stridey, batch_count, hy, hy1);
                rocblas_error_2
                    = norm_check_general<T>('I', 1, N, abs_incy, stridey, batch_count, hy, hy2);
            }
        }
    }

    if(arg.timing)
    {
        int number_cold_calls = 2;
        int number_hot_calls  = 100;
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));

        //
        // Transfer from host to device.
        //
        CHECK_HIP_ERROR(dy.transfer_from(hy));

        //
        // Cold.
        //
        for(int iter = 0; iter < number_cold_calls; iter++)
        {
            rocblas_axpy_strided_batched<T>(
                handle, N, &h_alpha, dx, incx, stridex, dy, incy, stridey, batch_count);
        }

        //
        // Transfer from host to device.
        //
        CHECK_HIP_ERROR(dy.transfer_from(hy));

        gpu_time_used = get_time_us(); // in microseconds
        for(int iter = 0; iter < number_hot_calls; iter++)
        {
            rocblas_axpy_strided_batched<T>(
                handle, N, &h_alpha, dx, incx, stridex, dy, incy, stridey, batch_count);
        }
        gpu_time_used     = (get_time_us() - gpu_time_used) / number_hot_calls;
        rocblas_gflops    = axpy_gflop_count<T>(N * batch_count) / gpu_time_used * 1e6 * 1;
        rocblas_bandwidth = (3.0 * N) * sizeof(T) / gpu_time_used / 1e3;

        //
        // Report.
        //
        std::cout
            << "N,alpha,incx,stridex,incy,stridey,batch,rocblas-Gflops,rocblas-GB/s,rocblas-us";
        if(arg.norm_check)
            std::cout << "CPU-Gflops,norm_error_host_ptr,norm_error_dev_ptr";
        std::cout << std::endl;
        std::cout << N << "," << h_alpha << "," << incx << "," << stridex << "," << incy << ","
                  << stridey << "," << batch_count << "," << rocblas_gflops << ","
                  << rocblas_bandwidth << "," << gpu_time_used;
        if(arg.norm_check)
            std::cout << "," << cblas_gflops << ',' << rocblas_error_1 << ',' << rocblas_error_2;
        std::cout << std::endl;
    }
}