/* **************************************************************************
 * Copyright (C) 2019-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *
 * 1. Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in the
 *    documentation and/or other materials provided with the distribution.
 *
 * THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED.  IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
 * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
 * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
 * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
 * SUCH DAMAGE.
 * *************************************************************************/

#include "roclapack_potrf.hpp"

template <typename T, typename U>
rocblas_status rocsolver_potrf_strided_batched_impl(rocblas_handle handle,
                                                    const rocblas_fill uplo,
                                                    const rocblas_int n,
                                                    U A,
                                                    const rocblas_int lda,
                                                    const rocblas_stride strideA,
                                                    rocblas_int* info,
                                                    const rocblas_int batch_count)
{
    ROCSOLVER_ENTER_TOP("potrf_strided_batched", "--uplo", uplo, "-n", n, "--lda", lda, "--strideA",
                        strideA, "--batch_count", batch_count);

    using S = decltype(std::real(T{}));

    if(!handle)
        return rocblas_status_invalid_handle;

    // argument checking
    rocblas_status st = rocsolver_potf2_potrf_argCheck(handle, uplo, n, lda, A, info, batch_count);
    if(st != rocblas_status_continue)
        return st;

    // working with unshifted arrays
    rocblas_int shiftA = 0;

    // memory workspace sizes:
    // size for constants in rocblas calls
    size_t size_scalars;
    // size of reusable workspace (and for calling TRSM)
    bool optim_mem;
    size_t size_work1, size_work2, size_work3, size_work4;
    // extra requirements for calling POTF2
    size_t size_pivots;
    // size to store info about positiveness of each subblock
    size_t size_iinfo;
    rocsolver_potrf_getMemorySize<false, true, T>(n, uplo, batch_count, &size_scalars, &size_work1,
                                                  &size_work2, &size_work3, &size_work4,
                                                  &size_pivots, &size_iinfo, &optim_mem);

    if(rocblas_is_device_memory_size_query(handle))
        return rocblas_set_optimal_device_memory_size(handle, size_scalars, size_work1, size_work2,
                                                      size_work3, size_work4, size_pivots,
                                                      size_iinfo);

    // memory workspace allocation
    void *scalars, *work1, *work2, *work3, *work4, *pivots, *iinfo;
    rocblas_device_malloc mem(handle, size_scalars, size_work1, size_work2, size_work3, size_work4,
                              size_pivots, size_iinfo);

    if(!mem)
        return rocblas_status_memory_error;

    scalars = mem[0];
    work1 = mem[1];
    work2 = mem[2];
    work3 = mem[3];
    work4 = mem[4];
    pivots = mem[5];
    iinfo = mem[6];
    if(size_scalars > 0)
        init_scalars(handle, (T*)scalars);

    // execution
    return rocsolver_potrf_template<false, true, T, S>(
        handle, uplo, n, A, shiftA, lda, strideA, info, batch_count, (T*)scalars, work1, work2,
        work3, work4, (T*)pivots, (rocblas_int*)iinfo, optim_mem);
}

/*
 * ===========================================================================
 *    C wrapper
 * ===========================================================================
 */

extern "C" {

rocblas_status rocsolver_spotrf_strided_batched(rocblas_handle handle,
                                                const rocblas_fill uplo,
                                                const rocblas_int n,
                                                float* A,
                                                const rocblas_int lda,
                                                const rocblas_stride strideA,
                                                rocblas_int* info,
                                                const rocblas_int batch_count)
{
    return rocsolver_potrf_strided_batched_impl<float>(handle, uplo, n, A, lda, strideA, info,
                                                       batch_count);
}

rocblas_status rocsolver_dpotrf_strided_batched(rocblas_handle handle,
                                                const rocblas_fill uplo,
                                                const rocblas_int n,
                                                double* A,
                                                const rocblas_int lda,
                                                const rocblas_stride strideA,
                                                rocblas_int* info,
                                                const rocblas_int batch_count)
{
    return rocsolver_potrf_strided_batched_impl<double>(handle, uplo, n, A, lda, strideA, info,
                                                        batch_count);
}

rocblas_status rocsolver_cpotrf_strided_batched(rocblas_handle handle,
                                                const rocblas_fill uplo,
                                                const rocblas_int n,
                                                rocblas_float_complex* A,
                                                const rocblas_int lda,
                                                const rocblas_stride strideA,
                                                rocblas_int* info,
                                                const rocblas_int batch_count)
{
    return rocsolver_potrf_strided_batched_impl<rocblas_float_complex>(handle, uplo, n, A, lda,
                                                                       strideA, info, batch_count);
}

rocblas_status rocsolver_zpotrf_strided_batched(rocblas_handle handle,
                                                const rocblas_fill uplo,
                                                const rocblas_int n,
                                                rocblas_double_complex* A,
                                                const rocblas_int lda,
                                                const rocblas_stride strideA,
                                                rocblas_int* info,
                                                const rocblas_int batch_count)
{
    return rocsolver_potrf_strided_batched_impl<rocblas_double_complex>(handle, uplo, n, A, lda,
                                                                        strideA, info, batch_count);
}
}
