// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
//   Cedric Nugteren <www.cedricnugteren.nl>
//
// This file contains the interface to the CLBlast BLAS routines. It also contains the definitions
// of the returned status codes and the layout and transpose types. This is the only header users
// of CLBlast should include and use.
//
// =================================================================================================

#ifndef CLBLAST_CLBLAST_H_
#define CLBLAST_CLBLAST_H_

#include <cstdlib> // For size_t

// Includes the normal OpenCL C header
#if defined(__APPLE__) || defined(__MACOSX)
  #include <OpenCL/opencl.h>
#else
  #include <CL/opencl.h>
#endif

namespace clblast {
// =================================================================================================

// Status codes. These codes can be returned by functions declared in this header file. The error
// codes match either the standard OpenCL error codes or the clBLAS error codes. 
enum class StatusCode {

  // Status codes in common with the OpenCL standard
  kSuccess                   =   0, // CL_SUCCESS
  kTempBufferAllocFailure    =  -4, // CL_MEM_OBJECT_ALLOCATION_FAILURE
  kBuildProgramFailure       = -11, // CL_BUILD_PROGRAM_FAILURE: OpenCL compilation error
  kInvalidBinary             = -42, // CL_INVALID_BINARY
  kInvalidKernel             = -48, // CL_INVALID_KERNEL
  kInvalidLocalNumDimensions = -53, // CL_INVALID_WORK_DIMENSION: Too many thread dimensions
  kInvalidLocalThreadsTotal  = -54, // CL_INVALID_WORK_GROUP_SIZE: Too many threads in total
  kInvalidLocalThreadsDim    = -55, // CL_INVALID_WORK_ITEM_SIZE: ... or for a specific dimension
  kInvalidTempBufferSize     = -61, // CL_INVALID_BUFFER_SIZE

  // Status codes in common with the clBLAS library
  kNotImplemented            = -1024, // Routine or functionality not implemented yet
  kInvalidMatrixA            = -1022, // Matrix A is not a valid OpenCL buffer
  kInvalidMatrixB            = -1021, // Matrix B is not a valid OpenCL buffer
  kInvalidMatrixC            = -1020, // Matrix C is not a valid OpenCL buffer
  kInvalidVectorX            = -1019, // Vector X is not a valid OpenCL buffer
  kInvalidVectorY            = -1018, // Vector Y is not a valid OpenCL buffer
  kInvalidDimension          = -1017, // Dimensions M, N, and K have to be larger than zero
  kInvalidLeadDimA           = -1016, // LD of A is smaller than the matrix's first dimension
  kInvalidLeadDimB           = -1015, // LD of B is smaller than the matrix's first dimension
  kInvalidLeadDimC           = -1014, // LD of C is smaller than the matrix's first dimension
  kInvalidIncrementX         = -1013, // Increment of vector X cannot be zero
  kInvalidIncrementY         = -1012, // Increment of vector Y cannot be zero
  kInsufficientMemoryA       = -1011, // Matrix A's OpenCL buffer is too small
  kInsufficientMemoryB       = -1010, // Matrix B's OpenCL buffer is too small
  kInsufficientMemoryC       = -1009, // Matrix C's OpenCL buffer is too small
  kInsufficientMemoryX       = -1008, // Vector X's OpenCL buffer is too small
  kInsufficientMemoryY       = -1007, // Vector Y's OpenCL buffer is too small

  // Custom additional status codes for CLBlast
  kKernelLaunchError         = -2048, // Problem occurred when enqueuing the kernel
  kKernelRunError            = -2047, // Problem occurred while running the kernel
  kInvalidLocalMemUsage      = -2046, // Not enough local memory available on this device
  kNoHalfPrecision           = -2045, // Half precision (16-bits) not supported by the device
  kNoDoublePrecision         = -2044, // Double precision (64-bits) not supported by the device
  kInvalidVectorDot          = -2043, // Vector dot is not a valid OpenCL buffer
  kInsufficientMemoryDot     = -2042, // Vector dot's OpenCL buffer is too small
};

// Matrix layout and transpose types
enum class Layout { kRowMajor = 101, kColMajor = 102 };
enum class Transpose { kNo = 111, kYes = 112, kConjugate = 113 };
enum class Triangle { kUpper = 121, kLower = 122 };
enum class Diagonal { kNonUnit = 131, kUnit = 132 };
enum class Side { kLeft = 141, kRight = 142 };

// Precision scoped enum (values in bits)
enum class Precision { kHalf = 16, kSingle = 32, kDouble = 64,
                       kComplexSingle = 3232, kComplexDouble = 6464 };

// =================================================================================================
// BLAS level-1 (vector-vector) routines
// =================================================================================================

// Generate givens plane rotation: SROTG/DROTG
template <typename T>
StatusCode Rotg(cl_mem sa_buffer, const size_t sa_offset,
                cl_mem sb_buffer, const size_t sb_offset,
                cl_mem sc_buffer, const size_t sc_offset,
                cl_mem ss_buffer, const size_t ss_offset,
                cl_command_queue* queue, cl_event* event = nullptr);

// Generate modified givens plane rotation: SROTMG/DROTMG
template <typename T>
StatusCode Rotmg(cl_mem sd1_buffer, const size_t sd1_offset,
                 cl_mem sd2_buffer, const size_t sd2_offset,
                 cl_mem sx1_buffer, const size_t sx1_offset,
                 const cl_mem sy1_buffer, const size_t sy1_offset,
                 cl_mem sparam_buffer, const size_t sparam_offset,
                 cl_command_queue* queue, cl_event* event = nullptr);

// Apply givens plane rotation: SROT/DROT
template <typename T>
StatusCode Rot(const size_t n,
               cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
               const T cos,
               const T sin,
               cl_command_queue* queue, cl_event* event = nullptr);

// Apply modified givens plane rotation: SROTM/DROTM
template <typename T>
StatusCode Rotm(const size_t n,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem sparam_buffer, const size_t sparam_offset,
                cl_command_queue* queue, cl_event* event = nullptr);

// Swap two vectors: SSWAP/DSWAP/CSWAP/ZSWAP
template <typename T>
StatusCode Swap(const size_t n,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Vector scaling: SSCAL/DSCAL/CSCAL/ZSCAL
template <typename T>
StatusCode Scal(const size_t n,
                const T alpha,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Vector copy: SCOPY/DCOPY/CCOPY/ZCOPY
template <typename T>
StatusCode Copy(const size_t n,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Vector-times-constant plus vector: SAXPY/DAXPY/CAXPY/ZAXPY/HAXPY
template <typename T>
StatusCode Axpy(const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Dot product of two vectors: SDOT/DDOT
template <typename T>
StatusCode Dot(const size_t n,
               cl_mem dot_buffer, const size_t dot_offset,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
               cl_command_queue* queue, cl_event* event = nullptr);

// Dot product of two complex vectors: CDOTU/ZDOTU
template <typename T>
StatusCode Dotu(const size_t n,
                cl_mem dot_buffer, const size_t dot_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Dot product of two complex vectors, one conjugated: CDOTC/ZDOTC
template <typename T>
StatusCode Dotc(const size_t n,
                cl_mem dot_buffer, const size_t dot_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Euclidian norm of a vector: SNRM2/DNRM2/ScNRM2/DzNRM2
template <typename T>
StatusCode Nrm2(const size_t n,
                cl_mem nrm2_buffer, const size_t nrm2_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Absolute sum of values in a vector: SASUM/DASUM/ScASUM/DzASUM
template <typename T>
StatusCode Asum(const size_t n,
                cl_mem asum_buffer, const size_t asum_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Sum of values in a vector (non-BLAS function): SSUM/DSUM/ScSUM/DzSUM
template <typename T>
StatusCode Sum(const size_t n,
               cl_mem sum_buffer, const size_t sum_offset,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_command_queue* queue, cl_event* event = nullptr);

// Index of absolute maximum value in a vector: iSAMAX/iDAMAX/iCAMAX/iZAMAX
template <typename T>
StatusCode Amax(const size_t n,
                cl_mem imax_buffer, const size_t imax_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Index of maximum value in a vector (non-BLAS function): iSMAX/iDMAX/iCMAX/iZMAX
template <typename T>
StatusCode Max(const size_t n,
               cl_mem imax_buffer, const size_t imax_offset,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_command_queue* queue, cl_event* event = nullptr);

// Index of minimum value in a vector (non-BLAS function): iSMIN/iDMIN/iCMIN/iZMIN
template <typename T>
StatusCode Min(const size_t n,
               cl_mem imin_buffer, const size_t imin_offset,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_command_queue* queue, cl_event* event = nullptr);

// =================================================================================================
// BLAS level-2 (matrix-vector) routines
// =================================================================================================

// General matrix-vector multiplication: SGEMV/DGEMV/CGEMV/ZGEMV
template <typename T>
StatusCode Gemv(const Layout layout, const Transpose a_transpose,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// General banded matrix-vector multiplication: SGBMV/DGBMV/CGBMV/ZGBMV
template <typename T>
StatusCode Gbmv(const Layout layout, const Transpose a_transpose,
                const size_t m, const size_t n, const size_t kl, const size_t ku,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian matrix-vector multiplication: CHEMV/ZHEMV
template <typename T>
StatusCode Hemv(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian banded matrix-vector multiplication: CHBMV/ZHBMV
template <typename T>
StatusCode Hbmv(const Layout layout, const Triangle triangle,
                const size_t n, const size_t k,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian packed matrix-vector multiplication: CHPMV/ZHPMV
template <typename T>
StatusCode Hpmv(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem ap_buffer, const size_t ap_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric matrix-vector multiplication: SSYMV/DSYMV
template <typename T>
StatusCode Symv(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric banded matrix-vector multiplication: SSBMV/DSBMV
template <typename T>
StatusCode Sbmv(const Layout layout, const Triangle triangle,
                const size_t n, const size_t k,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric packed matrix-vector multiplication: SSPMV/DSPMV
template <typename T>
StatusCode Spmv(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem ap_buffer, const size_t ap_offset,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const T beta,
                cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Triangular matrix-vector multiplication: STRMV/DTRMV/CTRMV/ZTRMV
template <typename T>
StatusCode Trmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Triangular banded matrix-vector multiplication: STBMV/DTBMV/CTBMV/ZTBMV
template <typename T>
StatusCode Tbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n, const size_t k,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Triangular packed matrix-vector multiplication: STPMV/DTPMV/CTPMV/ZTPMV
template <typename T>
StatusCode Tpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n,
                const cl_mem ap_buffer, const size_t ap_offset,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Solves a triangular system of equations: STRSV/DTRSV/CTRSV/ZTRSV
template <typename T>
StatusCode Trsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Solves a banded triangular system of equations: STBSV/DTBSV/CTBSV/ZTBSV
template <typename T>
StatusCode Tbsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n, const size_t k,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// Solves a packed triangular system of equations: STPSV/DTPSV/CTPSV/ZTPSV
template <typename T>
StatusCode Tpsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t n,
                const cl_mem ap_buffer, const size_t ap_offset,
                cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                cl_command_queue* queue, cl_event* event = nullptr);

// General rank-1 matrix update: SGER/DGER
template <typename T>
StatusCode Ger(const Layout layout,
               const size_t m, const size_t n,
               const T alpha,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
               cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
               cl_command_queue* queue, cl_event* event = nullptr);

// General rank-1 complex matrix update: CGERU/ZGERU
template <typename T>
StatusCode Geru(const Layout layout,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// General rank-1 complex conjugated matrix update: CGERC/ZGERC
template <typename T>
StatusCode Gerc(const Layout layout,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian rank-1 matrix update: CHER/ZHER
template <typename T>
StatusCode Her(const Layout layout, const Triangle triangle,
               const size_t n,
               const T alpha,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
               cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian packed rank-1 matrix update: CHPR/ZHPR
template <typename T>
StatusCode Hpr(const Layout layout, const Triangle triangle,
               const size_t n,
               const T alpha,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_mem ap_buffer, const size_t ap_offset,
               cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian rank-2 matrix update: CHER2/ZHER2
template <typename T>
StatusCode Her2(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian packed rank-2 matrix update: CHPR2/ZHPR2
template <typename T>
StatusCode Hpr2(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem ap_buffer, const size_t ap_offset,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric rank-1 matrix update: SSYR/DSYR
template <typename T>
StatusCode Syr(const Layout layout, const Triangle triangle,
               const size_t n,
               const T alpha,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
               cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric packed rank-1 matrix update: SSPR/DSPR
template <typename T>
StatusCode Spr(const Layout layout, const Triangle triangle,
               const size_t n,
               const T alpha,
               const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
               cl_mem ap_buffer, const size_t ap_offset,
               cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric rank-2 matrix update: SSYR2/DSYR2
template <typename T>
StatusCode Syr2(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric packed rank-2 matrix update: SSPR2/DSPR2
template <typename T>
StatusCode Spr2(const Layout layout, const Triangle triangle,
                const size_t n,
                const T alpha,
                const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
                const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
                cl_mem ap_buffer, const size_t ap_offset,
                cl_command_queue* queue, cl_event* event = nullptr);

// =================================================================================================
// BLAS level-3 (matrix-matrix) routines
// =================================================================================================

// General matrix-matrix multiplication: SGEMM/DGEMM/CGEMM/ZGEMM
template <typename T>
StatusCode Gemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
                const size_t m, const size_t n, const size_t k,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                const T beta,
                cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Symmetric matrix-matrix multiplication: SSYMM/DSYMM/CSYMM/ZSYMM
template <typename T>
StatusCode Symm(const Layout layout, const Side side, const Triangle triangle,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                const T beta,
                cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Hermitian matrix-matrix multiplication: CHEMM/ZHEMM
template <typename T>
StatusCode Hemm(const Layout layout, const Side side, const Triangle triangle,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                const T beta,
                cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Rank-K update of a symmetric matrix: SSYRK/DSYRK/CSYRK/ZSYRK
template <typename T>
StatusCode Syrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
                const size_t n, const size_t k,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const T beta,
                cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Rank-K update of a hermitian matrix: CHERK/ZHERK
template <typename T>
StatusCode Herk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
                const size_t n, const size_t k,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                const T beta,
                cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Rank-2K update of a symmetric matrix: SSYR2K/DSYR2K/CSYR2K/ZSYR2K
template <typename T>
StatusCode Syr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
                 const size_t n, const size_t k,
                 const T alpha,
                 const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                 const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                 const T beta,
                 cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                 cl_command_queue* queue, cl_event* event = nullptr);

// Rank-2K update of a hermitian matrix: CHER2K/ZHER2K
template <typename T, typename U>
StatusCode Her2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
                 const size_t n, const size_t k,
                 const T alpha,
                 const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                 const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                 const U beta,
                 cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
                 cl_command_queue* queue, cl_event* event = nullptr);

// Triangular matrix-matrix multiplication: STRMM/DTRMM/CTRMM/ZTRMM
template <typename T>
StatusCode Trmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// Solves a triangular system of equations: STRSM/DTRSM/CTRSM/ZTRSM
template <typename T>
StatusCode Trsm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
                const size_t m, const size_t n,
                const T alpha,
                const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
                cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
                cl_command_queue* queue, cl_event* event = nullptr);

// =================================================================================================

// CLBlast stores binaries of compiled kernels into a cache in case the same kernel is used later on
// for the same device. This cache can be cleared to free up system memory or in case of debugging.
StatusCode ClearCache();

// The cache can also be pre-initialized for a specific device with all possible CLBLast kernels.
// Further CLBlast routine calls will then run at maximum speed.
StatusCode FillCache(const cl_device_id device);

// =================================================================================================

} // namespace clblast

// CLBLAST_CLBLAST_H_
#endif