/* ************************************************************************
 * Copyright 2018-2021 Advanced Micro Devices, Inc.
 * ************************************************************************ */

#pragma once

#include "bytes.hpp"
#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 "type_dispatch.hpp"
#include "unit.hpp"
#include "utility.hpp"

template <typename Ta, typename Tx = Ta, typename Tex = Tx>
void testing_scal_strided_batched_ex_bad_arg(const Arguments& arg)
{
    auto rocblas_scal_strided_batched_ex_fn
        = arg.fortran ? rocblas_scal_strided_batched_ex_fortran : rocblas_scal_strided_batched_ex;

    rocblas_datatype alpha_type     = rocblas_type2datatype<Ta>();
    rocblas_datatype x_type         = rocblas_type2datatype<Tx>();
    rocblas_datatype execution_type = rocblas_type2datatype<Tex>();

    rocblas_int N    = 100;
    rocblas_int incx = 1;
    Ta          h_alpha(0.6);
    rocblas_int batch_count = 5;
    rocblas_int stridex     = 50;

    rocblas_local_handle handle{arg};

    size_t size_x = N * size_t(incx);

    // allocate memory on device
    device_vector<Tx> dx(size_x);
    CHECK_DEVICE_ALLOCATION(dx.memcheck());

    EXPECT_ROCBLAS_STATUS((rocblas_scal_strided_batched_ex_fn)(handle,
                                                               N,
                                                               nullptr,
                                                               alpha_type,
                                                               dx,
                                                               x_type,
                                                               incx,
                                                               stridex,
                                                               batch_count,
                                                               execution_type),
                          rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS((rocblas_scal_strided_batched_ex_fn)(handle,
                                                               N,
                                                               &h_alpha,
                                                               alpha_type,
                                                               nullptr,
                                                               x_type,
                                                               incx,
                                                               stridex,
                                                               batch_count,
                                                               execution_type),
                          rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS((rocblas_scal_strided_batched_ex_fn)(nullptr,
                                                               N,
                                                               &h_alpha,
                                                               alpha_type,
                                                               dx,
                                                               x_type,
                                                               incx,
                                                               stridex,
                                                               batch_count,
                                                               execution_type),
                          rocblas_status_invalid_handle);
    EXPECT_ROCBLAS_STATUS((rocblas_scal_strided_batched_ex_fn)(handle,
                                                               N,
                                                               &h_alpha,
                                                               rocblas_datatype_f16_r,
                                                               dx,
                                                               rocblas_datatype_f16_r,
                                                               incx,
                                                               stridex,
                                                               batch_count,
                                                               rocblas_datatype_f64_r),
                          rocblas_status_not_implemented);
}

template <typename Ta, typename Tx = Ta, typename Tex = Tx>
void testing_scal_strided_batched_ex(const Arguments& arg)
{
    auto rocblas_scal_strided_batched_ex_fn
        = arg.fortran ? rocblas_scal_strided_batched_ex_fortran : rocblas_scal_strided_batched_ex;

    rocblas_datatype alpha_type     = arg.a_type;
    rocblas_datatype x_type         = arg.b_type;
    rocblas_datatype execution_type = arg.compute_type;

    rocblas_int N           = arg.N;
    rocblas_int incx        = arg.incx;
    rocblas_int stridex     = arg.stride_x;
    rocblas_int batch_count = arg.batch_count;
    Ta          h_alpha     = arg.get_alpha<Ta>();

    rocblas_local_handle handle{arg};

    // argument sanity check before allocating invalid memory
    // --- do no checking for stride_x ---
    if(N <= 0 || incx <= 0 || batch_count <= 0)
    {
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        EXPECT_ROCBLAS_STATUS((rocblas_scal_strided_batched_ex_fn)(handle,
                                                                   N,
                                                                   nullptr,
                                                                   alpha_type,
                                                                   nullptr,
                                                                   x_type,
                                                                   incx,
                                                                   stridex,
                                                                   batch_count,
                                                                   execution_type),
                              rocblas_status_success);
        return;
    }

    size_t size_x = N * size_t(incx) + size_t(stridex) * size_t(batch_count - 1);

    // Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
    host_vector<Tx> hx_1(size_x);
    host_vector<Tx> hx_2(size_x);
    host_vector<Tx> hx_gold(size_x);

    // Initial Data on CPU
    rocblas_seedrand();
    if(rocblas_isnan(arg.alpha))
        rocblas_init_nan<Tx>(hx_1, 1, N, incx, stridex, batch_count);
    else
        rocblas_init<Tx>(hx_1, 1, N, incx, stridex, batch_count);

    // copy vector is easy in STL; hx_gold = hx: save a copy in hx_gold which will be output of CPU
    // BLAS
    hx_2    = hx_1;
    hx_gold = hx_1;

    // allocate memory on device
    device_vector<Tx> dx_1(size_x);
    device_vector<Tx> dx_2(size_x);
    device_vector<Ta> d_alpha(1);
    CHECK_DEVICE_ALLOCATION(dx_1.memcheck());
    CHECK_DEVICE_ALLOCATION(dx_2.memcheck());
    CHECK_DEVICE_ALLOCATION(d_alpha.memcheck());

    // copy data from CPU to device
    CHECK_HIP_ERROR(hipMemcpy(dx_1, hx_1, sizeof(Tx) * size_x, hipMemcpyHostToDevice));

    double gpu_time_used, cpu_time_used;
    double rocblas_error_1 = 0.0;
    double rocblas_error_2 = 0.0;

    CHECK_HIP_ERROR(hipMemcpy(dx_1, hx_1, sizeof(Tx) * size_x, hipMemcpyHostToDevice));

    if(arg.unit_check || arg.norm_check)
    {
        CHECK_HIP_ERROR(hipMemcpy(dx_2, hx_2, sizeof(Tx) * size_x, hipMemcpyHostToDevice));
        CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(Ta), hipMemcpyHostToDevice));

        // GPU BLAS, rocblas_pointer_mode_host
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        CHECK_ROCBLAS_ERROR((rocblas_scal_strided_batched_ex_fn(handle,
                                                                N,
                                                                &h_alpha,
                                                                alpha_type,
                                                                dx_1,
                                                                x_type,
                                                                incx,
                                                                stridex,
                                                                batch_count,
                                                                execution_type)));

        // GPU BLAS, rocblas_pointer_mode_device
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
        CHECK_ROCBLAS_ERROR((rocblas_scal_strided_batched_ex_fn(handle,
                                                                N,
                                                                d_alpha,
                                                                alpha_type,
                                                                dx_2,
                                                                x_type,
                                                                incx,
                                                                stridex,
                                                                batch_count,
                                                                execution_type)));

        // copy output from device to CPU
        CHECK_HIP_ERROR(hipMemcpy(hx_1, dx_1, sizeof(Tx) * size_x, hipMemcpyDeviceToHost));
        CHECK_HIP_ERROR(hipMemcpy(hx_2, dx_2, sizeof(Tx) * size_x, hipMemcpyDeviceToHost));

        // CPU BLAS
        cpu_time_used = get_time_us_no_sync();
        for(int i = 0; i < batch_count; i++)
        {
            cblas_scal(N, h_alpha, (Tx*)hx_gold + i * stridex, incx);
        }

        cpu_time_used = get_time_us_no_sync() - cpu_time_used;

        if(arg.unit_check)
        {
            unit_check_general<Tx>(1, N, incx, stridex, hx_gold, hx_1, batch_count);
            unit_check_general<Tx>(1, N, incx, stridex, hx_gold, hx_2, batch_count);
        }

        if(arg.norm_check)
        {
            rocblas_error_1
                = norm_check_general<Tx>('F', 1, N, incx, stridex, hx_gold, hx_1, batch_count);
            rocblas_error_2
                = norm_check_general<Tx>('F', 1, N, incx, stridex, hx_gold, hx_2, batch_count);
        }

    } // end of if unit/norm check

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

        for(int iter = 0; iter < number_cold_calls; iter++)
        {
            rocblas_scal_strided_batched_ex_fn(handle,
                                               N,
                                               &h_alpha,
                                               alpha_type,
                                               dx_1,
                                               x_type,
                                               incx,
                                               stridex,
                                               batch_count,
                                               execution_type);
        }

        hipStream_t stream;
        CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
        gpu_time_used = get_time_us_sync(stream); // in microseconds

        for(int iter = 0; iter < number_hot_calls; iter++)
        {
            rocblas_scal_strided_batched_ex_fn(handle,
                                               N,
                                               &h_alpha,
                                               alpha_type,
                                               dx_1,
                                               x_type,
                                               incx,
                                               stridex,
                                               batch_count,
                                               execution_type);
        }

        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        ArgumentModel<e_N, e_alpha, e_incx, e_stride_x, e_batch_count>{}.log_args<Tx>(
            rocblas_cout,
            arg,
            gpu_time_used,
            scal_gflop_count<Tx, Ta>(N),
            scal_gbyte_count<Tx>(N),
            cpu_time_used,
            rocblas_error_1,
            rocblas_error_2);
    }
}