/* ************************************************************************
 * Copyright 2018-2022 Advanced Micro Devices, Inc.
 * ************************************************************************ */

#pragma once

#include "bytes.hpp"
#include "cblas_interface.hpp"
#include "flops.hpp"
#include "near.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 Tx, typename Ty = Tx, typename Tr = Ty, typename Tex = Tr, bool CONJ = false>
void testing_dot_strided_batched_ex_bad_arg(const Arguments& arg)
{
    auto rocblas_dot_strided_batched_ex_fn
        = arg.fortran ? (CONJ ? rocblas_dotc_strided_batched_ex_fortran
                              : rocblas_dot_strided_batched_ex_fortran)
                      : (CONJ ? rocblas_dotc_strided_batched_ex : rocblas_dot_strided_batched_ex);

    rocblas_datatype x_type         = rocblas_datatype_f32_r;
    rocblas_datatype y_type         = rocblas_datatype_f32_r;
    rocblas_datatype result_type    = rocblas_datatype_f32_r;
    rocblas_datatype execution_type = rocblas_datatype_f32_r;

    rocblas_int N           = 100;
    rocblas_int incx        = 1;
    rocblas_int incy        = 1;
    rocblas_int stride_x    = incx * N;
    rocblas_int stride_y    = incy * N;
    rocblas_int batch_count = 5;
    size_t      size_x      = stride_x * batch_count;
    size_t      size_y      = stride_y * batch_count;

    rocblas_local_handle handle{arg};
    device_vector<Tx>    dx(size_x);
    device_vector<Ty>    dy(size_y);
    device_vector<Tr>    d_rocblas_result(1);
    CHECK_DEVICE_ALLOCATION(dx.memcheck());
    CHECK_DEVICE_ALLOCATION(dy.memcheck());
    CHECK_DEVICE_ALLOCATION(d_rocblas_result.memcheck());

    CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));

    EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(handle,
                                                              N,
                                                              nullptr,
                                                              x_type,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              y_type,
                                                              incy,
                                                              stride_y,
                                                              batch_count,
                                                              d_rocblas_result,
                                                              result_type,
                                                              execution_type),
                          rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(handle,
                                                              N,
                                                              dx,
                                                              x_type,
                                                              incx,
                                                              stride_x,
                                                              nullptr,
                                                              y_type,
                                                              incy,
                                                              stride_y,
                                                              batch_count,
                                                              d_rocblas_result,
                                                              result_type,
                                                              execution_type),
                          rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(handle,
                                                              N,
                                                              dx,
                                                              x_type,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              y_type,
                                                              incy,
                                                              stride_y,
                                                              batch_count,
                                                              nullptr,
                                                              result_type,
                                                              execution_type),
                          rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(nullptr,
                                                              N,
                                                              dx,
                                                              x_type,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              y_type,
                                                              incy,
                                                              stride_y,
                                                              batch_count,
                                                              d_rocblas_result,
                                                              result_type,
                                                              execution_type),
                          rocblas_status_invalid_handle);
}

template <typename Tx, typename Ty = Tx, typename Tr = Ty, typename Tex = Tr>
void testing_dotc_strided_batched_ex_bad_arg(const Arguments& arg)
{
    testing_dot_strided_batched_ex_bad_arg<Tx, Ty, Tr, Tex, true>(arg);
}

template <typename Tx, typename Ty = Tx, typename Tr = Ty, typename Tex = Tr, bool CONJ = false>
void testing_dot_strided_batched_ex(const Arguments& arg)
{
    auto rocblas_dot_strided_batched_ex_fn
        = arg.fortran ? (CONJ ? rocblas_dotc_strided_batched_ex_fortran
                              : rocblas_dot_strided_batched_ex_fortran)
                      : (CONJ ? rocblas_dotc_strided_batched_ex : rocblas_dot_strided_batched_ex);

    rocblas_datatype x_type         = arg.a_type;
    rocblas_datatype y_type         = arg.b_type;
    rocblas_datatype result_type    = arg.c_type;
    rocblas_datatype execution_type = arg.compute_type;

    rocblas_int    N           = arg.N;
    rocblas_int    incx        = arg.incx;
    rocblas_int    incy        = arg.incy;
    rocblas_int    batch_count = arg.batch_count;
    rocblas_int    abs_incx    = incx >= 0 ? incx : -incx;
    rocblas_int    abs_incy    = incy >= 0 ? incy : -incy;
    rocblas_stride stride_x    = arg.stride_x;
    rocblas_stride stride_y    = arg.stride_y;
    size_t         size_x      = N * size_t(abs_incx);
    size_t         size_y      = N * size_t(abs_incy);
    if(!size_x)
        size_x = 1;
    if(!size_y)
        size_y = 1;

    double               rocblas_error_1 = 0;
    double               rocblas_error_2 = 0;
    rocblas_local_handle handle{arg};

    // check to prevent undefined memmory allocation error
    if(N <= 0 || batch_count <= 0)
    {
        device_vector<Tr> d_rocblas_result(std::max(batch_count, 1));
        CHECK_DEVICE_ALLOCATION(d_rocblas_result.memcheck());

        host_vector<Tr> h_rocblas_result(std::max(batch_count, 1));
        CHECK_HIP_ERROR(h_rocblas_result.memcheck());

        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
        EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(handle,
                                                                  N,
                                                                  nullptr,
                                                                  x_type,
                                                                  incx,
                                                                  stride_x,
                                                                  nullptr,
                                                                  y_type,
                                                                  incy,
                                                                  stride_y,
                                                                  batch_count,
                                                                  d_rocblas_result,
                                                                  result_type,
                                                                  execution_type),
                              rocblas_status_success);

        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        EXPECT_ROCBLAS_STATUS((rocblas_dot_strided_batched_ex_fn)(handle,
                                                                  N,
                                                                  nullptr,
                                                                  x_type,
                                                                  incx,
                                                                  stride_x,
                                                                  nullptr,
                                                                  y_type,
                                                                  incy,
                                                                  stride_y,
                                                                  batch_count,
                                                                  h_rocblas_result,
                                                                  result_type,
                                                                  execution_type),
                              rocblas_status_success);

        if(batch_count > 0)
        {
            host_vector<Tr> cpu_0(batch_count);
            host_vector<Tr> gpu_0(batch_count);
            CHECK_HIP_ERROR(gpu_0.transfer_from(d_rocblas_result));
            unit_check_general<Tr>(1, 1, 1, 1, cpu_0, gpu_0, batch_count);
            unit_check_general<Tr>(1, 1, 1, 1, cpu_0, h_rocblas_result, batch_count);
        }

        return;
    }

    host_vector<Tr> cpu_result(batch_count);
    host_vector<Tr> rocblas_result_1(batch_count);
    host_vector<Tr> rocblas_result_2(batch_count);

    size_x += size_t(stride_x) * size_t(batch_count - 1);
    size_y += size_t(stride_y) * size_t(batch_count - 1);

    // allocate memory on device
    device_vector<Tx> dx(size_x);
    device_vector<Ty> dy(size_y);
    device_vector<Tr> d_rocblas_result_2(batch_count);
    CHECK_DEVICE_ALLOCATION(dx.memcheck());
    CHECK_DEVICE_ALLOCATION(dy.memcheck());
    CHECK_DEVICE_ALLOCATION(d_rocblas_result_2.memcheck());

    // Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
    host_vector<Tx> hx(size_x);
    host_vector<Ty> hy(size_y);

    // Initial Data on CPU
    rocblas_seedrand();
    if(rocblas_isnan(arg.alpha))
    {
        rocblas_init_nan<Tx>(hx, 1, N, abs_incx, stride_x, batch_count);
        rocblas_init_nan<Ty>(hy, 1, N, abs_incy, stride_y, batch_count);
    }
    else
    {
        rocblas_init<Tx>(hx, 1, N, abs_incx, stride_x, batch_count);
        rocblas_init<Ty>(hy, 1, N, abs_incy, stride_y, batch_count);
    }

    // copy data from CPU to device, does not work for incx != 1
    CHECK_HIP_ERROR(hipMemcpy(dx, hx, sizeof(Tx) * size_x, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dy, hy, sizeof(Ty) * size_y, hipMemcpyHostToDevice));

    double gpu_time_used, cpu_time_used;

    // arg.algo indicates to force optimized x dot x kernel algorithm with equal inc
    auto dy_ptr = (arg.algo) ? (Tx*)(dx) : (Ty*)(dy);
    auto hy_ptr = (arg.algo) ? &hx[0] : &hy[0];
    if(arg.algo)
    {
        incy     = incx;
        stride_y = stride_x;
    }

    if(arg.unit_check || arg.norm_check)
    {
        // GPU BLAS, rocblas_pointer_mode_host
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        CHECK_ROCBLAS_ERROR((rocblas_dot_strided_batched_ex_fn)(handle,
                                                                N,
                                                                dx,
                                                                x_type,
                                                                incx,
                                                                stride_x,
                                                                dy_ptr,
                                                                y_type,
                                                                incy,
                                                                stride_y,
                                                                batch_count,
                                                                rocblas_result_1,
                                                                result_type,
                                                                execution_type));

        // GPU BLAS, rocblas_pointer_mode_device
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
        CHECK_ROCBLAS_ERROR((rocblas_dot_strided_batched_ex_fn)(handle,
                                                                N,
                                                                dx,
                                                                x_type,
                                                                incx,
                                                                stride_x,
                                                                dy_ptr,
                                                                y_type,
                                                                incy,
                                                                stride_y,
                                                                batch_count,
                                                                d_rocblas_result_2,
                                                                result_type,
                                                                execution_type));
        CHECK_HIP_ERROR(hipMemcpy(
            rocblas_result_2, d_rocblas_result_2, sizeof(Tr) * batch_count, hipMemcpyDeviceToHost));

        // CPU BLAS
        cpu_time_used = get_time_us_no_sync();
        for(int b = 0; b < batch_count; ++b)
        {
            (CONJ ? cblas_dotc<Tx> : cblas_dot<Tx>)(N,
                                                    hx + b * stride_x,
                                                    incx,
                                                    hy_ptr + b * stride_y,
                                                    incy,
                                                    &cpu_result[b]);
        }
        cpu_time_used = get_time_us_no_sync() - cpu_time_used;

        if(arg.unit_check)
        {
            if(std::is_same<Tex, rocblas_half>{} && N > 10000)
            {
                // For large K, rocblas_half tends to diverge proportional to K
                // Tolerance is slightly greater than 1 / 1024.0
                const double tol = N * sum_error_tolerance<Tex>;

                near_check_general<Tr>(1, 1, 1, 1, cpu_result, rocblas_result_1, batch_count, tol);
                near_check_general<Tr>(1, 1, 1, 1, cpu_result, rocblas_result_2, batch_count, tol);
            }
            else
            {
                unit_check_general<Tr>(1, 1, 1, 1, cpu_result, rocblas_result_1, batch_count);
                unit_check_general<Tr>(1, 1, 1, 1, cpu_result, rocblas_result_2, batch_count);
            }
        }

        if(arg.norm_check)
        {
            rocblas_cout << "cpu=" << cpu_result << ", gpu_host_ptr=" << rocblas_result_1
                         << ", gpu_device_ptr=" << rocblas_result_2 << std::endl;
            for(int b = 0; b < batch_count; ++b)
            {
                rocblas_error_1
                    += rocblas_abs((cpu_result[b] - rocblas_result_1[b]) / cpu_result[b]);
                rocblas_error_2
                    += rocblas_abs((cpu_result[b] - rocblas_result_2[b]) / cpu_result[b]);
            }
        }
    }

    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_device));

        for(int iter = 0; iter < number_cold_calls; iter++)
        {
            (rocblas_dot_strided_batched_ex_fn)(handle,
                                                N,
                                                dx,
                                                x_type,
                                                incx,
                                                stride_x,
                                                dy_ptr,
                                                y_type,
                                                incy,
                                                stride_y,
                                                batch_count,
                                                d_rocblas_result_2,
                                                result_type,
                                                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_dot_strided_batched_ex_fn)(handle,
                                                N,
                                                dx,
                                                x_type,
                                                incx,
                                                stride_x,
                                                dy_ptr,
                                                y_type,
                                                incy,
                                                stride_y,
                                                batch_count,
                                                d_rocblas_result_2,
                                                result_type,
                                                execution_type);
        }

        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        ArgumentModel<e_N, e_incx, e_incy, e_stride_x, e_stride_y, e_batch_count, e_algo>{}
            .log_args<Tx>(rocblas_cout,
                          arg,
                          gpu_time_used,
                          dot_gflop_count<CONJ, Tx>(N),
                          dot_gbyte_count<Tx>(N),
                          cpu_time_used,
                          rocblas_error_1,
                          rocblas_error_2);
    }
}

template <typename Tx, typename Ty = Tx, typename Tr = Ty, typename Tex = Tr>
void testing_dotc_strided_batched_ex(const Arguments& arg)
{
    testing_dot_strided_batched_ex<Tx, Ty, Tr, Tex, true>(arg);
}