potrf.hpp

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#pragma once
 
#include <batmat/linalg/copy.hpp>
#include <batmat/linalg/flops.hpp>
#include <batmat/linalg/micro-kernels/potrf.hpp>
#include <batmat/linalg/shift.hpp>
#include <batmat/linalg/simdify.hpp>
#include <batmat/linalg/triangular.hpp>
#include <batmat/linalg/uview.hpp>
#include <batmat/loop.hpp>
#include <batmat/matrix/storage.hpp>
#include <guanaqo/trace.hpp>
 
namespace batmat::linalg {
 
namespace detail {
template <class T, class Abi, micro_kernels::potrf::KernelConfig Conf, StorageOrder OA,
          StorageOrder OCD>
    requires(Conf.struc_C != MatrixStructure::General)
void potrf(view<const T, Abi, OA> A, view<const T, Abi, OCD> C, view<T, Abi, OCD> D,
           T regularization) {
    // Check dimensions
    BATMAT_ASSERT(D.rows() >= D.cols());
    BATMAT_ASSERT(A.cols() == 0 || A.rows() == D.rows());
    BATMAT_ASSERT(C.rows() == D.rows());
    BATMAT_ASSERT(C.cols() == D.cols());
    const index_t M = D.rows(), N = D.cols();
    GUANAQO_TRACE_LINALG("potrf", total(flops::syrk_potrf(M, N, A.cols())) * C.depth());
    // Degenerate case
    if (M == 0 || N == 0) [[unlikely]]
        return;
    return micro_kernels::potrf::potrf_copy_register<T, Abi, Conf>(A, C, D, regularization);
}
} // namespace detail
 
/// @addtogroup topic-linalg
/// @{
 
/// @name Cholesky factorization of batches of matrices
/// @{
 
/// D = chol(C + AAᵀ) with C symmetric, D triangular
template <MatrixStructure SC, simdifiable VA, simdifiable VC, simdifiable VD>
    requires simdify_compatible<VA, VC, VD>
void syrk_add_potrf(VA &&A, Structured<VC, SC> C, Structured<VD, SC> D,
                    simdified_value_t<VA> regularization = 0) {
    detail::potrf<simdified_value_t<VA>, simdified_abi_t<VA>, {.negate_A = false, .struc_C = SC}>(
        simdify(A).as_const(), simdify(C.value).as_const(), simdify(D.value), regularization);
}
/// D = chol(D + AAᵀ) with D symmetric/triangular
template <MatrixStructure SC, simdifiable VA, simdifiable VD>
    requires simdify_compatible<VA, VD>
void syrk_add_potrf(VA &&A, Structured<VD, SC> D) {
    syrk_add_potrf(A, D.ref(), D.ref());
}
 
/// D = chol(C - AAᵀ) with C symmetric, D triangular
template <MatrixStructure SC, simdifiable VA, simdifiable VC, simdifiable VD>
    requires simdify_compatible<VA, VC, VD>
void syrk_sub_potrf(VA &&A, Structured<VC, SC> C, Structured<VD, SC> D,
                    simdified_value_t<VA> regularization = 0) {
    detail::potrf<simdified_value_t<VA>, simdified_abi_t<VA>, {.negate_A = true, .struc_C = SC}>(
        simdify(A).as_const(), simdify(C.value).as_const(), simdify(D.value), regularization);
}
/// D = chol(D - AAᵀ) with D symmetric/triangular
template <MatrixStructure SC, simdifiable VA, simdifiable VD>
    requires simdify_compatible<VA, VD>
void syrk_sub_potrf(VA &&A, Structured<VD, SC> D, simdified_value_t<VA> regularization = 0) {
    syrk_sub_potrf(A, D.ref(), D.ref(), regularization);
}
 
/// D = chol(C) with C symmetric, D triangular
template <MatrixStructure SC, simdifiable VC, simdifiable VD>
    requires simdify_compatible<VC, VD>
void potrf(Structured<VC, SC> C, Structured<VD, SC> D, simdified_value_t<VC> regularization = 0) {
    decltype(simdify(C.value).as_const()) null{{.data = nullptr, .rows = 0, .cols = 0}};
    detail::potrf<simdified_value_t<VC>, simdified_abi_t<VC>, {.struc_C = SC}>(
        null, simdify(C.value).as_const(), simdify(D.value), regularization);
}
 
/// D = chol(D) with D symmetric/triangular
template <MatrixStructure SD, simdifiable VD>
void potrf(Structured<VD, SD> D, simdified_value_t<VD> regularization = 0) {
    decltype(simdify(D.value).as_const()) null{{.data = nullptr, .rows = 0, .cols = 0}};
    detail::potrf<simdified_value_t<VD>, simdified_abi_t<VD>, {.struc_C = SD}>(
        null, simdify(D.value).as_const(), simdify(D.value), regularization);
}
 
/// @}
 
/// @}
 
} // namespace batmat::linalg