/* ************************************************************************
 * Copyright (C) 2016-2024 Advanced Micro Devices, Inc. All rights reserved.
 *
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 * of this software and associated documentation files (the "Software"), to deal
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 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
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 *
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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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 * SOFTWARE.
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#include <fstream>
#include <iostream>
#include <stdlib.h>
#include <vector>

#include "testing_common.hpp"

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

using hipblasSyrStridedBatchedModel
    = ArgumentModel<e_a_type, e_uplo, e_N, e_alpha, e_incx, e_lda, e_stride_scale, e_batch_count>;

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

template <typename T>
void testing_syr_strided_batched_bad_arg(const Arguments& arg)
{
    auto hipblasSyrStridedBatchedFn    = arg.api == FORTRAN ? hipblasSyrStridedBatched<T, true>
                                                            : hipblasSyrStridedBatched<T, false>;
    auto hipblasSyrStridedBatchedFn_64 = arg.api == FORTRAN_64
                                             ? hipblasSyrStridedBatched_64<T, true>
                                             : hipblasSyrStridedBatched_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));

        hipblasFillMode_t uplo        = HIPBLAS_FILL_MODE_UPPER;
        int64_t           N           = 100;
        int64_t           lda         = 100;
        int64_t           incx        = 1;
        int64_t           batch_count = 2;
        hipblasStride     stride_A    = N * lda;
        hipblasStride     stride_x    = N * incx;

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

        const T  h_alpha(1), h_zero(0);
        const T* alpha = &h_alpha;
        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_zero, zero, sizeof(*zero), hipMemcpyHostToDevice));
            alpha = d_alpha;
            zero  = d_zero;
        }

        // Allocate device memory
        device_strided_batch_matrix<T> dA(N, N, lda, stride_A, batch_count);
        device_strided_batch_vector<T> dx(N, incx, stride_x, batch_count);

        DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
                    hipblasSyrStridedBatchedFn,
                    (nullptr, uplo, N, alpha, dx, incx, stride_x, dA, lda, stride_A, batch_count));
        DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                    hipblasSyrStridedBatchedFn,
                    (handle,
                     HIPBLAS_FILL_MODE_FULL,
                     N,
                     alpha,
                     dx,
                     incx,
                     stride_x,
                     dA,
                     lda,
                     stride_A,
                     batch_count));
        DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM,
                    hipblasSyrStridedBatchedFn,
                    (handle,
                     (hipblasFillMode_t)HIPBLAS_OP_N,
                     N,
                     alpha,
                     dx,
                     incx,
                     stride_x,
                     dA,
                     lda,
                     stride_A,
                     batch_count));

        DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                    hipblasSyrStridedBatchedFn,
                    (handle, uplo, N, nullptr, dx, incx, stride_x, dA, lda, stride_A, batch_count));

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

            // testing the 64-bit interface for n, lda, and batch_count
            DAPI_EXPECT((arg.api & c_API_64) ? HIPBLAS_STATUS_SUCCESS
                                             : HIPBLAS_STATUS_INVALID_VALUE,
                        hipblasSyrStridedBatchedFn,
                        (handle,
                         uplo,
                         c_i32_overflow,
                         zero,
                         nullptr,
                         incx,
                         stride_x,
                         nullptr,
                         c_i32_overflow,
                         stride_A,
                         c_i32_overflow));
        }

        // With N == 0, can have all nullptrs
        DAPI_CHECK(hipblasSyrStridedBatchedFn,
                   (handle,
                    uplo,
                    0,
                    nullptr,
                    nullptr,
                    incx,
                    stride_x,
                    nullptr,
                    lda,
                    stride_A,
                    batch_count));
        DAPI_CHECK(hipblasSyrStridedBatchedFn,
                   (handle, uplo, N, nullptr, nullptr, incx, stride_x, nullptr, lda, stride_A, 0));

        // With alpha == 0, can have all nullptrs
        DAPI_CHECK(
            hipblasSyrStridedBatchedFn,
            (handle, uplo, N, zero, nullptr, incx, stride_x, nullptr, lda, stride_A, batch_count));
    }
}

template <typename T>
void testing_syr_strided_batched(const Arguments& arg)
{
    auto hipblasSyrStridedBatchedFn    = arg.api == FORTRAN ? hipblasSyrStridedBatched<T, true>
                                                            : hipblasSyrStridedBatched<T, false>;
    auto hipblasSyrStridedBatchedFn_64 = arg.api == FORTRAN_64
                                             ? hipblasSyrStridedBatched_64<T, true>
                                             : hipblasSyrStridedBatched_64<T, false>;

    hipblasFillMode_t uplo         = char2hipblas_fill(arg.uplo);
    int64_t           N            = arg.N;
    int64_t           incx         = arg.incx;
    int64_t           lda          = arg.lda;
    double            stride_scale = arg.stride_scale;
    int64_t           batch_count  = arg.batch_count;

    int64_t abs_incx = incx < 0 ? -incx : incx;

    hipblasStride stride_A = size_t(lda) * N * stride_scale;
    hipblasStride stride_x = size_t(abs_incx) * N * stride_scale;
    size_t        A_size   = stride_A * batch_count;
    size_t        x_size   = stride_x * batch_count;

    hipblasLocalHandle handle(arg);

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

    // Naming: `h` is in CPU (host) memory(eg hA), `d` is in GPU (device) memory (eg dA).
    // Allocate host memory
    host_strided_batch_matrix<T> hA(N, N, lda, stride_A, batch_count);
    host_strided_batch_matrix<T> hA_cpu(N, N, lda, stride_A, batch_count);
    host_strided_batch_matrix<T> hA_host(N, N, lda, stride_A, batch_count);
    host_strided_batch_matrix<T> hA_device(N, N, lda, stride_A, batch_count);
    host_strided_batch_vector<T> hx(N, incx, stride_x, batch_count);

    // Check host memory allocation
    CHECK_HIP_ERROR(hA.memcheck());
    CHECK_HIP_ERROR(hA_cpu.memcheck());
    CHECK_HIP_ERROR(hA_host.memcheck());
    CHECK_HIP_ERROR(hA_device.memcheck());
    CHECK_HIP_ERROR(hx.memcheck());

    // Allocate device memory
    device_strided_batch_matrix<T> dA(N, N, lda, stride_A, batch_count);
    device_strided_batch_vector<T> dx(N, incx, stride_x, batch_count);
    device_vector<T>               d_alpha(1);

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

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

    double gpu_time_used, hipblas_error_host, hipblas_error_device;

    // Initial Data on CPU
    hipblas_init_matrix(
        hA, arg, hipblas_client_never_set_nan, hipblas_symmetric_matrix, true, false);
    hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, false, true);

    // copy vector
    hA_cpu.copy_from(hA);

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

    if(arg.unit_check || arg.norm_check)
    {
        /* =====================================================================
            HIPBLAS
        =================================================================== */
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
        DAPI_CHECK(hipblasSyrStridedBatchedFn,
                   (handle, uplo, N, &h_alpha, dx, incx, stride_x, dA, lda, stride_A, batch_count));

        CHECK_HIP_ERROR(hA_host.transfer_from(dA));
        CHECK_HIP_ERROR(dA.transfer_from(hA));

        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
        DAPI_CHECK(hipblasSyrStridedBatchedFn,
                   (handle, uplo, N, d_alpha, dx, incx, stride_x, dA, lda, stride_A, batch_count));

        CHECK_HIP_ERROR(hA_device.transfer_from(dA));

        /* =====================================================================
           CPU BLAS
        =================================================================== */
        for(int64_t b = 0; b < batch_count; b++)
        {
            ref_syr<T>(uplo, N, h_alpha, hx[b], incx, hA_cpu[b], lda);
        }

        // 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>(N, N, batch_count, lda, stride_A, hA_cpu, hA_host);
            unit_check_general<T>(N, N, batch_count, lda, stride_A, hA_cpu, hA_device);
        }
        if(arg.norm_check)
        {
            hipblas_error_host = norm_check_general<T>(
                'F', N, N, lda, stride_A, hA_cpu.data(), hA_host.data(), batch_count);
            hipblas_error_device = norm_check_general<T>(
                'F', N, N, lda, stride_A, hA_cpu.data(), hA_device.data(), batch_count);
        }
    }

    if(arg.timing)
    {
        CHECK_HIP_ERROR(dA.transfer_from(hA));
        hipStream_t stream;
        CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));

        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(
                hipblasSyrStridedBatchedFn,
                (handle, uplo, N, d_alpha, dx, incx, stride_x, dA, lda, stride_A, batch_count));
        }
        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        hipblasSyrStridedBatchedModel{}.log_args<T>(std::cout,
                                                    arg,
                                                    gpu_time_used,
                                                    syr_gflop_count<T>(N),
                                                    syr_gbyte_count<T>(N),
                                                    hipblas_error_host,
                                                    hipblas_error_device);
    }
}
