703 lines
38 KiB
C++
703 lines
38 KiB
C++
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// =================================================================================================
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// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
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// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
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// width of 100 characters per line.
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//
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// Author(s):
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// Cedric Nugteren <www.cedricnugteren.nl>
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//
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// This file contains the special CUDA interface to the CLBlast BLAS routines. It also contains the
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// definitions of the returned status codes and the layout and transpose types. This is the header
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// users of the CUDA API of CLBlast should include and use.
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//
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// =================================================================================================
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#ifndef CLBLAST_CLBLAST_CUDA_H_
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#define CLBLAST_CLBLAST_CUDA_H_
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#include <cstdlib> // For size_t
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#include <string> // For OverrideParameters function
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#include <unordered_map> // For OverrideParameters function
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// CUDA
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#include <cuda.h> // CUDA driver API
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#include <nvrtc.h> // NVIDIA runtime compilation API
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// Exports library functions under Windows when building a DLL. See also:
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// https://msdn.microsoft.com/en-us/library/a90k134d.aspx
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#if defined(_WIN32) && defined(CLBLAST_DLL)
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#if defined(COMPILING_DLL)
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#define PUBLIC_API __declspec(dllexport)
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#else
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#define PUBLIC_API __declspec(dllimport)
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#endif
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#else
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#define PUBLIC_API
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#endif
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namespace clblast {
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// =================================================================================================
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// Status codes. These codes can be returned by functions declared in this header file. The error
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// codes match either the standard CUDA driver API error codes or the regular CLBlast error codes.
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enum class StatusCode {
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// Status codes in common with the OpenCL standard
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kSuccess = 0, // CUDA_SUCCESS
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kInvalidLocalNumDimensions = -53, // CL_INVALID_WORK_DIMENSION: Too many thread dimensions
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kInvalidLocalThreadsTotal = -54, // CL_INVALID_WORK_GROUP_SIZE: Too many threads in total
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kInvalidLocalThreadsDim = -55, // CL_INVALID_WORK_ITEM_SIZE: ... or for a specific dimension
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// Status codes in common with the clBLAS library
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kNotImplemented = -1024, // Routine or functionality not implemented yet
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kInvalidMatrixA = -1022, // Matrix A is not a valid OpenCL buffer
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kInvalidMatrixB = -1021, // Matrix B is not a valid OpenCL buffer
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kInvalidMatrixC = -1020, // Matrix C is not a valid OpenCL buffer
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kInvalidVectorX = -1019, // Vector X is not a valid OpenCL buffer
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kInvalidVectorY = -1018, // Vector Y is not a valid OpenCL buffer
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kInvalidDimension = -1017, // Dimensions M, N, and K have to be larger than zero
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kInvalidLeadDimA = -1016, // LD of A is smaller than the matrix's first dimension
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kInvalidLeadDimB = -1015, // LD of B is smaller than the matrix's first dimension
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kInvalidLeadDimC = -1014, // LD of C is smaller than the matrix's first dimension
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kInvalidIncrementX = -1013, // Increment of vector X cannot be zero
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kInvalidIncrementY = -1012, // Increment of vector Y cannot be zero
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kInsufficientMemoryA = -1011, // Matrix A's OpenCL buffer is too small
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kInsufficientMemoryB = -1010, // Matrix B's OpenCL buffer is too small
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kInsufficientMemoryC = -1009, // Matrix C's OpenCL buffer is too small
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kInsufficientMemoryX = -1008, // Vector X's OpenCL buffer is too small
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kInsufficientMemoryY = -1007, // Vector Y's OpenCL buffer is too small
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// Custom additional status codes for CLBlast
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kInsufficientMemoryTemp = -2050, // Temporary buffer provided to GEMM routine is too small
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kInvalidBatchCount = -2049, // The batch count needs to be positive
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kInvalidOverrideKernel = -2048, // Trying to override parameters for an invalid kernel
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kMissingOverrideParameter = -2047, // Missing override parameter(s) for the target kernel
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kInvalidLocalMemUsage = -2046, // Not enough local memory available on this device
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kNoHalfPrecision = -2045, // Half precision (16-bits) not supported by the device
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kNoDoublePrecision = -2044, // Double precision (64-bits) not supported by the device
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kInvalidVectorScalar = -2043, // The unit-sized vector is not a valid OpenCL buffer
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kInsufficientMemoryScalar = -2042, // The unit-sized vector's OpenCL buffer is too small
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kDatabaseError = -2041, // Entry for the device was not found in the database
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kUnknownError = -2040, // A catch-all error code representing an unspecified error
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kUnexpectedError = -2039, // A catch-all error code representing an unexpected exception
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};
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// Matrix layout and transpose types
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enum class Layout { kRowMajor = 101, kColMajor = 102 };
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enum class Transpose { kNo = 111, kYes = 112, kConjugate = 113 };
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enum class Triangle { kUpper = 121, kLower = 122 };
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enum class Diagonal { kNonUnit = 131, kUnit = 132 };
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enum class Side { kLeft = 141, kRight = 142 };
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enum class KernelMode { kCrossCorrelation = 151, kConvolution = 152 };
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// Precision scoped enum (values in bits)
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enum class Precision { kHalf = 16, kSingle = 32, kDouble = 64,
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kComplexSingle = 3232, kComplexDouble = 6464, kAny = -1 };
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// =================================================================================================
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// BLAS level-1 (vector-vector) routines
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// =================================================================================================
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// Generate givens plane rotation: SROTG/DROTG
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template <typename T>
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StatusCode Rotg(CUdeviceptr sa_buffer, const size_t sa_offset,
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CUdeviceptr sb_buffer, const size_t sb_offset,
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CUdeviceptr sc_buffer, const size_t sc_offset,
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CUdeviceptr ss_buffer, const size_t ss_offset,
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const CUcontext context, const CUdevice device);
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// Generate modified givens plane rotation: SROTMG/DROTMG
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template <typename T>
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StatusCode Rotmg(CUdeviceptr sd1_buffer, const size_t sd1_offset,
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CUdeviceptr sd2_buffer, const size_t sd2_offset,
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CUdeviceptr sx1_buffer, const size_t sx1_offset,
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const CUdeviceptr sy1_buffer, const size_t sy1_offset,
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CUdeviceptr sparam_buffer, const size_t sparam_offset,
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const CUcontext context, const CUdevice device);
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// Apply givens plane rotation: SROT/DROT
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template <typename T>
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StatusCode Rot(const size_t n,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const T cos,
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const T sin,
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const CUcontext context, const CUdevice device);
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// Apply modified givens plane rotation: SROTM/DROTM
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template <typename T>
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StatusCode Rotm(const size_t n,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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CUdeviceptr sparam_buffer, const size_t sparam_offset,
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const CUcontext context, const CUdevice device);
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// Swap two vectors: SSWAP/DSWAP/CSWAP/ZSWAP/HSWAP
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template <typename T>
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StatusCode Swap(const size_t n,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Vector scaling: SSCAL/DSCAL/CSCAL/ZSCAL/HSCAL
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template <typename T>
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StatusCode Scal(const size_t n,
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const T alpha,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Vector copy: SCOPY/DCOPY/CCOPY/ZCOPY/HCOPY
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template <typename T>
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StatusCode Copy(const size_t n,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Vector-times-constant plus vector: SAXPY/DAXPY/CAXPY/ZAXPY/HAXPY
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template <typename T>
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StatusCode Axpy(const size_t n,
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const T alpha,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Dot product of two vectors: SDOT/DDOT/HDOT
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template <typename T>
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StatusCode Dot(const size_t n,
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CUdeviceptr dot_buffer, const size_t dot_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Dot product of two complex vectors: CDOTU/ZDOTU
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template <typename T>
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StatusCode Dotu(const size_t n,
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CUdeviceptr dot_buffer, const size_t dot_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Dot product of two complex vectors, one conjugated: CDOTC/ZDOTC
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template <typename T>
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StatusCode Dotc(const size_t n,
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CUdeviceptr dot_buffer, const size_t dot_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Euclidian norm of a vector: SNRM2/DNRM2/ScNRM2/DzNRM2/HNRM2
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template <typename T>
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StatusCode Nrm2(const size_t n,
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CUdeviceptr nrm2_buffer, const size_t nrm2_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Absolute sum of values in a vector: SASUM/DASUM/ScASUM/DzASUM/HASUM
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template <typename T>
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StatusCode Asum(const size_t n,
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CUdeviceptr asum_buffer, const size_t asum_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Sum of values in a vector (non-BLAS function): SSUM/DSUM/ScSUM/DzSUM/HSUM
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template <typename T>
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StatusCode Sum(const size_t n,
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CUdeviceptr sum_buffer, const size_t sum_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Index of absolute maximum value in a vector: iSAMAX/iDAMAX/iCAMAX/iZAMAX/iHAMAX
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template <typename T>
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StatusCode Amax(const size_t n,
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CUdeviceptr imax_buffer, const size_t imax_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Index of absolute minimum value in a vector (non-BLAS function): iSAMIN/iDAMIN/iCAMIN/iZAMIN/iHAMIN
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template <typename T>
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StatusCode Amin(const size_t n,
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CUdeviceptr imin_buffer, const size_t imin_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Index of maximum value in a vector (non-BLAS function): iSMAX/iDMAX/iCMAX/iZMAX/iHMAX
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template <typename T>
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StatusCode Max(const size_t n,
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CUdeviceptr imax_buffer, const size_t imax_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Index of minimum value in a vector (non-BLAS function): iSMIN/iDMIN/iCMIN/iZMIN/iHMIN
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template <typename T>
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StatusCode Min(const size_t n,
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CUdeviceptr imin_buffer, const size_t imin_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// =================================================================================================
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// BLAS level-2 (matrix-vector) routines
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// =================================================================================================
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// General matrix-vector multiplication: SGEMV/DGEMV/CGEMV/ZGEMV/HGEMV
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template <typename T>
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StatusCode Gemv(const Layout layout, const Transpose a_transpose,
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const size_t m, const size_t n,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// General banded matrix-vector multiplication: SGBMV/DGBMV/CGBMV/ZGBMV/HGBMV
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template <typename T>
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StatusCode Gbmv(const Layout layout, const Transpose a_transpose,
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const size_t m, const size_t n, const size_t kl, const size_t ku,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Hermitian matrix-vector multiplication: CHEMV/ZHEMV
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template <typename T>
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StatusCode Hemv(const Layout layout, const Triangle triangle,
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const size_t n,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Hermitian banded matrix-vector multiplication: CHBMV/ZHBMV
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template <typename T>
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StatusCode Hbmv(const Layout layout, const Triangle triangle,
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const size_t n, const size_t k,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Hermitian packed matrix-vector multiplication: CHPMV/ZHPMV
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template <typename T>
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StatusCode Hpmv(const Layout layout, const Triangle triangle,
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const size_t n,
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const T alpha,
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const CUdeviceptr ap_buffer, const size_t ap_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Symmetric matrix-vector multiplication: SSYMV/DSYMV/HSYMV
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template <typename T>
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StatusCode Symv(const Layout layout, const Triangle triangle,
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const size_t n,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Symmetric banded matrix-vector multiplication: SSBMV/DSBMV/HSBMV
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template <typename T>
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StatusCode Sbmv(const Layout layout, const Triangle triangle,
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const size_t n, const size_t k,
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const T alpha,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Symmetric packed matrix-vector multiplication: SSPMV/DSPMV/HSPMV
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template <typename T>
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StatusCode Spmv(const Layout layout, const Triangle triangle,
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const size_t n,
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const T alpha,
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const CUdeviceptr ap_buffer, const size_t ap_offset,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const T beta,
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CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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const CUcontext context, const CUdevice device);
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// Triangular matrix-vector multiplication: STRMV/DTRMV/CTRMV/ZTRMV/HTRMV
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template <typename T>
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StatusCode Trmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Triangular banded matrix-vector multiplication: STBMV/DTBMV/CTBMV/ZTBMV/HTBMV
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template <typename T>
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StatusCode Tbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n, const size_t k,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Triangular packed matrix-vector multiplication: STPMV/DTPMV/CTPMV/ZTPMV/HTPMV
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template <typename T>
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StatusCode Tpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n,
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const CUdeviceptr ap_buffer, const size_t ap_offset,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Solves a triangular system of equations: STRSV/DTRSV/CTRSV/ZTRSV
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template <typename T>
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StatusCode Trsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Solves a banded triangular system of equations: STBSV/DTBSV/CTBSV/ZTBSV
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template <typename T>
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StatusCode Tbsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n, const size_t k,
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const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// Solves a packed triangular system of equations: STPSV/DTPSV/CTPSV/ZTPSV
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template <typename T>
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StatusCode Tpsv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
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const size_t n,
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const CUdeviceptr ap_buffer, const size_t ap_offset,
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CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUcontext context, const CUdevice device);
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// General rank-1 matrix update: SGER/DGER/HGER
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template <typename T>
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StatusCode Ger(const Layout layout,
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const size_t m, const size_t n,
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const T alpha,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
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CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
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const CUcontext context, const CUdevice device);
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// General rank-1 complex matrix update: CGERU/ZGERU
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template <typename T>
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StatusCode Geru(const Layout layout,
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const size_t m, const size_t n,
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const T alpha,
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const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
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|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
CUdeviceptr ap_buffer, const size_t ap_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr ap_buffer, const size_t ap_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Symmetric rank-1 matrix update: SSYR/DSYR/HSYR
|
|
template <typename T>
|
|
StatusCode Syr(const Layout layout, const Triangle triangle,
|
|
const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Symmetric packed rank-1 matrix update: SSPR/DSPR/HSPR
|
|
template <typename T>
|
|
StatusCode Spr(const Layout layout, const Triangle triangle,
|
|
const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
CUdeviceptr ap_buffer, const size_t ap_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Symmetric rank-2 matrix update: SSYR2/DSYR2/HSYR2
|
|
template <typename T>
|
|
StatusCode Syr2(const Layout layout, const Triangle triangle,
|
|
const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Symmetric packed rank-2 matrix update: SSPR2/DSPR2/HSPR2
|
|
template <typename T>
|
|
StatusCode Spr2(const Layout layout, const Triangle triangle,
|
|
const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
CUdeviceptr ap_buffer, const size_t ap_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// =================================================================================================
|
|
// BLAS level-3 (matrix-matrix) routines
|
|
// =================================================================================================
|
|
|
|
// General matrix-matrix multiplication: SGEMM/DGEMM/CGEMM/ZGEMM/HGEMM
|
|
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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device,
|
|
CUdeviceptr temp_buffer = 0);
|
|
|
|
// Symmetric matrix-matrix multiplication: SSYMM/DSYMM/CSYMM/ZSYMM/HSYMM
|
|
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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Rank-K update of a symmetric matrix: SSYRK/DSYRK/CSYRK/ZSYRK/HSYRK
|
|
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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Rank-2K update of a symmetric matrix: SSYR2K/DSYR2K/CSYR2K/ZSYR2K/HSYR2K
|
|
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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const U beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Triangular matrix-matrix multiplication: STRMM/DTRMM/CTRMM/ZTRMM/HTRMM
|
|
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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// 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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// =================================================================================================
|
|
// Extra non-BLAS routines (level-X)
|
|
// =================================================================================================
|
|
|
|
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
|
|
template <typename T>
|
|
StatusCode Had(const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
|
|
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
|
|
const T beta,
|
|
CUdeviceptr z_buffer, const size_t z_offset, const size_t z_inc,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
|
|
template <typename T>
|
|
StatusCode Omatcopy(const Layout layout, const Transpose a_transpose,
|
|
const size_t m, const size_t n,
|
|
const T alpha,
|
|
const CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld,
|
|
CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Im2col function (non-BLAS function): SIM2COL/DIM2COL/CIM2COL/ZIM2COL/HIM2COL
|
|
template <typename T>
|
|
StatusCode Im2col(const KernelMode kernel_mode,
|
|
const size_t channels, const size_t height, const size_t width, const size_t kernel_h, const size_t kernel_w, const size_t pad_h, const size_t pad_w, const size_t stride_h, const size_t stride_w, const size_t dilation_h, const size_t dilation_w,
|
|
const CUdeviceptr im_buffer, const size_t im_offset,
|
|
CUdeviceptr col_buffer, const size_t col_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Col2im function (non-BLAS function): SCOL2IM/DCOL2IM/CCOL2IM/ZCOL2IM/HCOL2IM
|
|
template <typename T>
|
|
StatusCode Col2im(const KernelMode kernel_mode,
|
|
const size_t channels, const size_t height, const size_t width, const size_t kernel_h, const size_t kernel_w, const size_t pad_h, const size_t pad_w, const size_t stride_h, const size_t stride_w, const size_t dilation_h, const size_t dilation_w,
|
|
const CUdeviceptr col_buffer, const size_t col_offset,
|
|
CUdeviceptr im_buffer, const size_t im_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Batched convolution as GEMM (non-BLAS function): SCONVGEMM/DCONVGEMM/HCONVGEMM
|
|
template <typename T>
|
|
StatusCode Convgemm(const KernelMode kernel_mode,
|
|
const size_t channels, const size_t height, const size_t width, const size_t kernel_h, const size_t kernel_w, const size_t pad_h, const size_t pad_w, const size_t stride_h, const size_t stride_w, const size_t dilation_h, const size_t dilation_w, const size_t num_kernels, const size_t batch_count,
|
|
const CUdeviceptr im_buffer, const size_t im_offset,
|
|
const CUdeviceptr kernel_buffer, const size_t kernel_offset,
|
|
CUdeviceptr result_buffer, const size_t result_offset,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Batched version of AXPY: SAXPYBATCHED/DAXPYBATCHED/CAXPYBATCHED/ZAXPYBATCHED/HAXPYBATCHED
|
|
template <typename T>
|
|
StatusCode AxpyBatched(const size_t n,
|
|
const T *alphas,
|
|
const CUdeviceptr x_buffer, const size_t *x_offsets, const size_t x_inc,
|
|
CUdeviceptr y_buffer, const size_t *y_offsets, const size_t y_inc,
|
|
const size_t batch_count,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// Batched version of GEMM: SGEMMBATCHED/DGEMMBATCHED/CGEMMBATCHED/ZGEMMBATCHED/HGEMMBATCHED
|
|
template <typename T>
|
|
StatusCode GemmBatched(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 *alphas,
|
|
const CUdeviceptr a_buffer, const size_t *a_offsets, const size_t a_ld,
|
|
const CUdeviceptr b_buffer, const size_t *b_offsets, const size_t b_ld,
|
|
const T *betas,
|
|
CUdeviceptr c_buffer, const size_t *c_offsets, const size_t c_ld,
|
|
const size_t batch_count,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// StridedBatched version of GEMM: SGEMMSTRIDEDBATCHED/DGEMMSTRIDEDBATCHED/CGEMMSTRIDEDBATCHED/ZGEMMSTRIDEDBATCHED/HGEMMSTRIDEDBATCHED
|
|
template <typename T>
|
|
StatusCode GemmStridedBatched(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 CUdeviceptr a_buffer, const size_t a_offset, const size_t a_ld, const size_t a_stride,
|
|
const CUdeviceptr b_buffer, const size_t b_offset, const size_t b_ld, const size_t b_stride,
|
|
const T beta,
|
|
CUdeviceptr c_buffer, const size_t c_offset, const size_t c_ld, const size_t c_stride,
|
|
const size_t batch_count,
|
|
const CUcontext context, const CUdevice device);
|
|
|
|
// =================================================================================================
|
|
|
|
// Retrieves the required size of the temporary buffer for the GEMM kernel (optional)
|
|
template <typename T>
|
|
StatusCode GemmTempBufferSize(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
|
|
const size_t m, const size_t n, const size_t k,
|
|
const size_t a_offset, const size_t a_ld,
|
|
const size_t b_offset, const size_t b_ld,
|
|
const size_t c_offset, const size_t c_ld,
|
|
const CUdevice device, size_t& temp_buffer_size);
|
|
|
|
// =================================================================================================
|
|
|
|
// 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 PUBLIC_API 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 PUBLIC_API FillCache(const CUdevice device);
|
|
|
|
// =================================================================================================
|
|
|
|
// Retrieves current tuning parameters for a specific device-precision-kernel combination
|
|
StatusCode PUBLIC_API RetrieveParameters(const CUdevice device, const std::string &kernel_name,
|
|
const Precision precision,
|
|
std::unordered_map<std::string,size_t> ¶meters);
|
|
|
|
// Overrides tuning parameters for a specific device-precision-kernel combination. The next time
|
|
// the target routine is called it will re-compile and use the new parameters from then on.
|
|
StatusCode PUBLIC_API OverrideParameters(const CUdevice device, const std::string &kernel_name,
|
|
const Precision precision,
|
|
const std::unordered_map<std::string,size_t> ¶meters);
|
|
|
|
// =================================================================================================
|
|
|
|
} // namespace clblast
|
|
|
|
// CLBLAST_CLBLAST_CUDA_H_
|
|
#endif
|