!      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQR S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i jklmnopqrstuvwxyz{|}~                             ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~     [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None'cusparseIntegral conversioncusparseFloating conversioncusparseObtain C value from Haskell .cusparseObtain Haskell  from C value.cusparse#Convert a C enumeration to Haskell.cusparse#Convert a Haskell enumeration to C.cusparseMarshalling of complex numberscusparseMarshalling of numerals [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None21cusparse.Error codes used by cuSPARSE library functions ?http://docs.nvidia.com/cuda/cusparse/index.html#cusparsestatustcusparse)Raise a CUSparseException in the IO MonadcusparseReturn the results of a function on successful execution, otherwise throw an exception with an error string associated with the return codecusparselThrow an exception with an error string associated with an unsuccessful return code, otherwise return unit.cusparseAThrow an error if given error code is not CUSPARSE_STATUS_SUCCESS  [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NoneHcusparseFor functions which take scalar value arguments, determines whether those values are passed by reference on the host or device. Ehttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsepointermode_tcusparseaAn opaque handle to the cuSPARSE library context, which is passed to all library function calls. ?http://docs.nvidia.com/cuda/cusparse/index.html#cusparsehandletcusparseThis function initializes the cuSPARSE library and creates a handle on the cuSPARSE context. It must be called before any other cuSPARSE API function is invoked. It allocates hardware resources necessary for accessing the GPU. >http://docs.nvidia.com/cuda/cusparse/index.html#cusparsecreatecusparseThis function releases CPU-side resources used by the cuSPARSE library. The release of GPU-side resources may be deferred until the application shuts down. ?http://docs.nvidia.com/cuda/cusparse/index.html#cusparsedestroy cusparse8Set the pointer mode used by cuSPARSE library functions.GThe default mode is for values to be passed by reference from the host. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetpointermode!cusparseRGet the pointer mode used by cuSPARSE library functions to pass scalar arguments. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsegetpointermode  !  ![2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None]> .cusparse <https://docs.nvidia.com/cuda/cusparse/index.html#csrsm2infot1cusparse =http://docs.nvidia.com/cuda/cusparse/index.html#csrgemm2infot4cusparse =http://docs.nvidia.com/cuda/cusparse/index.html#bsrilu02infot7cusparse <http://docs.nvidia.com/cuda/cusparse/index.html#bsric02infot:cusparse ;http://docs.nvidia.com/cuda/cusparse/index.html#bsrsvminfot=cusparse ;http://docs.nvidia.com/cuda/cusparse/index.html#bsrsv2infot@cusparse =http://docs.nvidia.com/cuda/cusparse/index.html#csrilu02infotCcusparse <http://docs.nvidia.com/cuda/cusparse/index.html#csric02infotFcusparse ;http://docs.nvidia.com/cuda/cusparse/index.html#csrsv2infotIcusparseAn opaque structure holding the information collected in the analysis phase of the solution of the sparse triangular linear system. Jhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesolveanalysisinfotLcusparseICreate and initialise the solve and analysis structure to default values. Ohttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsecreatesolveanalysisinfoMcusparse9Release memory associated with a matrix solver structure. Phttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsedestroysolveanalysisinfoA%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdeAIJKLMFGHNOCDEPQ@ABRS=>?TU:;<VW789XY456Z[123\]./0^_+,-`a()*bc%&'de[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)SafeqrfcusparseFIndicates whether level information is used by some solver algorithms. Ehttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesolvepolicy_ticusparse?Specify the algorithm to use, for example used in the routine  @http://docs.nvidia.com/cuda/cusparse/index.html#cusparse-csrmvExcsrmvEx.ncusparse.Used to specify the type of data underlying a void*2 pointer. For example, it is used in the routine  @http://docs.nvidia.com/cuda/cusparse/index.html#cusparse-csrmvExcsrmvEx.}cusparseGIndicates which operations need to be performed with the sparse matrix.N: no transpose selectedT: transpose operationC: conjugate transpose Bhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparseoperationtcusparse@Indicates the underlying storage model for elements of matrices. Bhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsedirectiontcusparseIThis type indicates whether the operation is performed only on indices () or on data and indices (). ?http://docs.nvidia.com/cuda/cusparse/index.html#cusparseactiont!fhgimlkjn|{zyxwvutsrqpo}~[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NonecusparseIndicates the type of matrix. Chttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsematrixtypetcusparseDIndicates whether indexing of matrix elements starts at zero or one. Bhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparseindexbasetcusparseIIndicates whether the upper or lower part of the sparse matrix is stored. Ahttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsefillmodetcusparseIndicates whether the diagonal elements of the matrix are unity. The diagonal elements are always assumed to be present, but if  is passed to an API routine, then the routine assumes that all diagonal entries are unity and will not read or modify those entries. Ahttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsediagtypetcusparseEAn opaque type used to describe the shape and properties of a matrix. Ahttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsematdescrtcusparse3Release memory associated with a matrix descriptor. Ghttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsedestroymatdescrcusparseGet the % type field of the matrix descriptor. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsegetmatdiagtypecusparseGet the  mode of the matrix descriptor. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsegetmatfillmodecusparseGet the  mode of the matrix descriptor. Ghttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsegetmatindexbasecusparseGet the  mode of the matrix descriptor. Bhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsegetmattypecusparseSet the % type field of the matrix descriptor. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetmatdiagtypecusparseSet the  mode of the matrix descriptor. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetmatfillmodecusparseSet the  mode of the matrix descriptor. Ghttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetmatindexbasecusparseSet the  mode of the matrix descriptor. Bhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetmattypecusparse1Create a new matrix descriptor, with matrix type  and index base +, while leaving other fields uninitialised. Fhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsecreatematdescr[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NonecusparsexIndicates how to perform the partitioning of the matrix into regular (ELL) and irregular (COO) parts of the HYB format. Ehttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsehybpartitiontcusparse>An opaque structure holding the matrix in hybrid (HYB) format. ?http://docs.nvidia.com/cuda/cusparse/index.html#cusparsehybmattcusparse$Create a new (opaque) hybrid matrix. Dhttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsecreatehybmatcusparse?Destroy and release any memory associated with a hybrid matrix. Ehttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsedestroyhybmat [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None0Z.1:Ifgh}~Z}~fghI:1.[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)Nonem=FIfghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQm}~nopqrstuvwxyz{|ijklmfghI=F      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQ [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NoneRSTUVWXYZ[\]^_`abcdefghiRSTUVWXYZ[\]^_`abcdefghi[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)Noney%(jklmnopqrstuvwxyz{|}~(%jklmnopqrstuvwxyz{|}~ [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None47@CIfgh}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~fghIC@74      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{| [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)None+}~+}~ [2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NoneƉcusparseSets the execution stream which all subsequent cuSPARSE library functions will execute with. If not set, functions execute in the default stream (which never overlaps any other operations). Ahttp://docs.nvidia.com/cuda/cusparse/index.html#cusparsesetstream[2017] Trevor L. McDonellBSD3.Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> experimentalnon-portable (GHC extensions)NoneȜa  !%&'()*+,-./012456789:;=>@ABCDEFGIJLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~x !%&'()*+,-./012456789:;=>@ABCDEFGIJLMNOPQRSTUVWXYZ[\]^_`abcde  !"#$%&'()*++,-./0123445667889::;<<=>>?@@ABBCDDEFFGHHIJJKLLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQ R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h ijklmnopqrstuvwxyz{|}~                              ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~            'cusparse-0.2.0.0-GqG07bsNM4SDg6saJmD6KFForeign.CUDA.BLAS.Sparse.Error Foreign.CUDA.BLAS.Sparse.Context!Foreign.CUDA.BLAS.Sparse.AnalysisForeign.CUDA.BLAS.Sparse.Level3Foreign.CUDA.BLAS.Sparse.Level2 Foreign.CUDA.BLAS.Sparse.Convert*Foreign.CUDA.BLAS.Sparse.Matrix.Descriptor&Foreign.CUDA.BLAS.Sparse.Matrix.HybridForeign.CUDA.BLAS.Sparse.Level1%Foreign.CUDA.BLAS.Sparse.Precondition Foreign.CUDA.BLAS.Sparse.ReorderForeign.CUDA.BLAS.Sparse.Stream&Foreign.CUDA.BLAS.Sparse.Internal.C2HS'Foreign.CUDA.BLAS.Sparse.Internal.TypesForeign.CUDA.BLAS.SparseCUSparseExceptionExitCode UserErrorStatusSuccessNotInitialized AllocFailed InvalidValue ArchMismatch MappingErrorExecutionFailed InternalErrorMatrixTypeNotSupported ZeroPivotdescribe cusparseError resultIfOk nothingIfOk checkStatus 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