/* ************************************************************************
 * Copyright (C) 2016-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 *
 * ************************************************************************ */

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

#include "testing_common.hpp"

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

using hipblasSyrkxBatchedModel
    = ArgumentModel<e_uplo, e_transA, e_N, e_K, e_lda, e_ldb, e_ldc, e_batch_count>;

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

template <typename T>
inline hipblasStatus_t testing_syrkx_batched(const Arguments& arg)
{
    bool FORTRAN = arg.fortran;
    auto hipblasSyrkxBatchedFn
        = FORTRAN ? hipblasSyrkxBatched<T, true> : hipblasSyrkxBatched<T, false>;

    hipblasFillMode_t  uplo        = char2hipblas_fill(arg.uplo);
    hipblasOperation_t transA      = char2hipblas_operation(arg.transA);
    int                N           = arg.N;
    int                K           = arg.K;
    int                lda         = arg.lda;
    int                ldb         = arg.ldb;
    int                ldc         = arg.ldc;
    int                batch_count = arg.batch_count;

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

    // argument sanity check, quick return if input parameters are invalid before allocating invalid
    // memory
    if(N < 0 || K < 0 || ldc < N || (transA == HIPBLAS_OP_N && (lda < N || ldb < N))
       || (transA != HIPBLAS_OP_N && (lda < K || ldb < K)) || batch_count < 0)
    {
        return HIPBLAS_STATUS_INVALID_VALUE;
    }
    else if(batch_count == 0)
    {
        return HIPBLAS_STATUS_SUCCESS;
    }

    int    K1     = (transA == HIPBLAS_OP_N ? K : N);
    size_t A_size = size_t(lda) * K1;
    size_t B_size = size_t(ldb) * K1;
    size_t C_size = size_t(ldc) * N;

    // Naming: dK is in GPU (device) memory. hK is in CPU (host) memory
    host_batch_vector<T> hA(A_size, 1, batch_count);
    host_batch_vector<T> hB(B_size, 1, batch_count);
    host_batch_vector<T> hC_host(C_size, 1, batch_count);
    host_batch_vector<T> hC_device(C_size, 1, batch_count);
    host_batch_vector<T> hC_gold(C_size, 1, batch_count);

    device_batch_vector<T> dA(A_size, 1, batch_count);
    device_batch_vector<T> dB(B_size, 1, batch_count);
    device_batch_vector<T> dC(C_size, 1, batch_count);
    device_vector<T>       d_alpha(1);
    device_vector<T>       d_beta(1);

    CHECK_HIP_ERROR(dA.memcheck());
    CHECK_HIP_ERROR(dB.memcheck());
    CHECK_HIP_ERROR(dC.memcheck());

    double             gpu_time_used, hipblas_error_host, hipblas_error_device;
    hipblasLocalHandle handle(arg);

    hipblas_init(hA, true);
    hipblas_init(hB);
    hipblas_init(hC_host);

    hC_device.copy_from(hC_host);
    hC_gold.copy_from(hC_host);

    CHECK_HIP_ERROR(dA.transfer_from(hA));
    CHECK_HIP_ERROR(dB.transfer_from(hB));
    CHECK_HIP_ERROR(dC.transfer_from(hC_host));
    CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));

    if(arg.unit_check || arg.norm_check)
    {
        /* =====================================================================
            HIPBLAS
        =================================================================== */
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
        CHECK_HIPBLAS_ERROR(hipblasSyrkxBatchedFn(handle,
                                                  uplo,
                                                  transA,
                                                  N,
                                                  K,
                                                  &h_alpha,
                                                  dA.ptr_on_device(),
                                                  lda,
                                                  dB.ptr_on_device(),
                                                  ldb,
                                                  &h_beta,
                                                  dC.ptr_on_device(),
                                                  ldc,
                                                  batch_count));

        CHECK_HIP_ERROR(hC_host.transfer_from(dC));
        CHECK_HIP_ERROR(dC.transfer_from(hC_device));

        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
        CHECK_HIPBLAS_ERROR(hipblasSyrkxBatchedFn(handle,
                                                  uplo,
                                                  transA,
                                                  N,
                                                  K,
                                                  d_alpha,
                                                  dA.ptr_on_device(),
                                                  lda,
                                                  dB.ptr_on_device(),
                                                  ldb,
                                                  d_beta,
                                                  dC.ptr_on_device(),
                                                  ldc,
                                                  batch_count));

        CHECK_HIP_ERROR(hC_device.transfer_from(dC));

        /* =====================================================================
           CPU BLAS
        =================================================================== */
        for(int b = 0; b < batch_count; b++)
        {
            syrkx_reference<T>(
                uplo, transA, N, K, h_alpha, hA[b], lda, hB[b], ldb, h_beta, hC_gold[b], ldc);
        }

        // 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, ldc, hC_gold, hC_host);
            unit_check_general<T>(N, N, batch_count, ldc, hC_gold, hC_device);
        }
        if(arg.norm_check)
        {
            hipblas_error_host
                = norm_check_general<T>('F', N, N, ldc, hC_gold, hC_host, batch_count);
            hipblas_error_device
                = norm_check_general<T>('F', N, N, ldc, hC_gold, hC_device, batch_count);
        }
    }

    if(arg.timing)
    {
        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);

            CHECK_HIPBLAS_ERROR(hipblasSyrkxBatchedFn(handle,
                                                      uplo,
                                                      transA,
                                                      N,
                                                      K,
                                                      d_alpha,
                                                      dA.ptr_on_device(),
                                                      lda,
                                                      dB.ptr_on_device(),
                                                      ldb,
                                                      d_beta,
                                                      dC.ptr_on_device(),
                                                      ldc,
                                                      batch_count));
        }
        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        hipblasSyrkxBatchedModel{}.log_args<T>(std::cout,
                                               arg,
                                               gpu_time_used,
                                               syrkx_gflop_count<T>(N, K),
                                               syrkx_gbyte_count<T>(N, K),
                                               hipblas_error_host,
                                               hipblas_error_device);
    }

    return HIPBLAS_STATUS_SUCCESS;
}
