.. _potrf_batch-buffer-strided-version: potrf_batch (Buffer Strided Version) ==================================== Computes the Cholesky factorizations of a batch of symmetric (or Hermitian, for complex data) positive-definite matrices. This routine belongs to the ``oneapi::mkl::lapack`` namespace. .. contents:: :local: :depth: 1 Description *********** The routine forms the Cholesky factorizations of a symmetric positive-definite or, for complex data, Hermitian positive-definite matrices ``A``\ :sub:`i`, ``i``\ ``ϵ{1...batch_size}``: - ``A``\ :sub:`i` = ``U``\ :sub:`i`\ :sup:`T` \* ``U``\ :sub:`i` for real data, ``A``\ :sub:`i` = ``U``\ :sub:`i`\ :sup:`H` \* ``U``\ :sub:`i` for complex data. if ``uplo = mkl::uplo::upper``, - ``A``\ :sub:`i` = ``L``\ :sub:`i`\ :sup:`T` \* ``L``\ :sub:`i` for real data, ``A``\ :sub:`i` = ``L``\ :sub:`i`\ :sup:`H` \* ``L``\ :sub:`i` for complex data if ``uplo = mkl::uplo::lower`` Where ``L``\ :sub:`i` is a lower triangular matrix and ``U``\ :sub:`i` is an upper triangular matrix. API *** Syntax ------ .. code-block:: cpp namespace oneapi::mkl::lapack { void potrf_batch(cl::sycl::queue &queue, mkl::uplo uplo, std::int64_t n, cl::sycl::buffer &a, std::int64_t lda, std::int64_t stride_a, std::int64_t batch_size, cl::sycl::buffer &scratchpad, std::int64_t scratchpad_size) } Function supports the following precisions and devices. .. list-table:: :header-rows: 1 * - T - Devices supported * - ``float`` - Host, CPU, and GPU * - ``double`` - Host, CPU, and GPU * - ``std::complex`` - Host, CPU, and GPU * - ``std::complex`` - Host, CPU, and GPU Input Parameters ---------------- queue Device queue where calculations will be performed. uplo Indicates whether the upper or lower triangular part of ``A``\ :sub:`i` is stored and how ``A``\ :sub:`i` is factored: If uplo = mkl::uplo::upper, the array ``a`` stores the upper triangular parts of the matrices ``A``\ :sub:`i`. If uplo = mkl::uplo::lower, the array ``a`` stores the lower triangular parts of the matrices ``A``\ :sub:`i`. n Specifies the order of the matrices ``A``\ :sub:`i`, (``0 ≤ n``). a Array containing a batch of input matrices ``A``\ :sub:`i`, each of ``A``\ :sub:`i` being of size ``lda``\ \*\ ``n`` and holding either uppoer or lower triangular parts of the matrices ``A``\ :sub:`i` (see uplo). lda The leading dimension of ``A``\ :sub:`i`. stride_a The stride between the beginnings of matrices ``A``\ :sub:`i` inside the batch. batch_size Specifies the number of problems in a batch. scratchpad Scratchpad memory to be used by routine for storing intermediate results. scratchpad_size Size of scratchpad memory as a number of floating point elements of type T. Size should not be less then the value returned by :ref:`potrf_batch_scratchpad_size-strided-version`. Output Parameters ----------------- a The batch array ``a`` is overwritten by the Cholesky factor ``U``\ :sub:`i` or ``L``\ :sub:`i`, as specified by uplo . Exceptions ---------- .. tabularcolumns:: |\Y{0.3}|\Y{0.7}| .. list-table:: :header-rows: 1 * - Exception - Description * - ``mkl::lapack::batch_exception`` - This exception is thrown when problems occur during calculations. You can obtain the info code of the problem using the info() method of the exception object: If ``info = -n``, the ``n``-th parameter had an illegal value. If ``info`` equals the value passed as scratchpad size, and detail() returns non-zero, then the passed scratchpad is of insufficient size, and the required size should be not less then value returned by the detail() method of the exception object. If ``info`` is zero, then the diagonal element of some of ``U``\ :sub:`i` is zero, and the solve could not be completed. The indexes of such matrices in the batch can be obtained with the ids() method of the exception object. You can obtain the indexes of the first zero diagonal elements in these ``U``\ :sub:`i` matrices using the infos() method of the exception object.