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📄 strsv.cu

📁 Nividia提供的CUDA的BLAS库源码
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/* * Copyright 1993-2008 NVIDIA Corporation.  All rights reserved. * * NOTICE TO USER:    * * This source code is subject to NVIDIA ownership rights under U.S. and * international Copyright laws.   * * This software and the information contained herein is being provided  * under the terms and conditions of a Source Code License Agreement.      * * NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE * CODE FOR ANY PURPOSE.  IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR  * IMPLIED WARRANTY OF ANY KIND.  NVIDIA DISCLAIMS ALL WARRANTIES WITH * REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF * MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. * IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, * OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS * OF USE, DATA OR PROFITS,  WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE * OR OTHER TORTIOUS ACTION,  ARISING OUT OF OR IN CONNECTION WITH THE USE * OR PERFORMANCE OF THIS SOURCE CODE.   * * U.S. Government End Users.   This source code is a "commercial item" as  * that term is defined at  48 C.F.R. 2.101 (OCT 1995), consisting  of * "commercial computer  software"  and "commercial computer software  * documentation" as such terms are  used in 48 C.F.R. 12.212 (SEPT 1995) * and is provided to the U.S. Government only as a commercial end item. * Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through * 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the  * source code with only those rights set forth herein. *//* This file contains the implementation of the BLAS-2 function strsv */#include <stdlib.h>#include <assert.h>#include <string.h>#include <stdio.h>#include <limits.h>#include <ctype.h>#include <math.h>#include "cublas.h"   /* CUBLAS public header file  */#include "cublasP.h"  /* CUBLAS private header file */__global__ void strsv_main_tr_up (struct cublasStrsvParams parms);__global__ void strsv_main_tr_lo (struct cublasStrsvParams parms);__global__ void strsv_main_nt_up (struct cublasStrsvParams parms);__global__ void strsv_main_nt_lo (struct cublasStrsvParams parms);/* * void  * cublasStrsv (char uplo, char trans, char diag, int n, const float *A,  *              int lda, float *x, int incx) * * solves a system of equations op(A) * x = b, where op(A) is either A or  * transpose(A). b and x are single precision vectors consisting of n * elements, and A is an n x n matrix composed of a unit or non-unit, upper * or lower triangular matrix. Matrix A is stored in column major format, * and lda is the leading dimension of the two-diemnsional array containing * A. * * No test for singularity or near-singularity is included in this function.  * Such tests must be performed before calling this function. * * Input * ----- * uplo   specifies whether the matrix data is stored in the upper or the  *        lower triangular part of array A. If uplo = 'U' or 'u', then only  *        the upper triangular part of A may be referenced. If uplo = 'L' or  *        'l', then only the lower triangular part of A may be referenced. * trans  specifies op(A). If transa = 'n' or 'N', op(A) = A. If transa = 't', *        'T', 'c', or 'C', op(A) = transpose(A) * diag   specifies whether or not A is a unit triangular matrix like so: *        if diag = 'U' or 'u', A is assumed to be unit triangular. If  *        diag = 'N' or 'n', then A is not assumed to be unit triangular. * n      specifies the number of rows and columns of the matrix A. It *        must be at least 0. In the current implementation n must be <= *        4070. * A      is a single precision array of dimensions (lda, n). If uplo = 'U'  *        or 'u', then A must contains the upper triangular part of a symmetric *        matrix, and the strictly lower triangular parts is not referenced.  *        If uplo = 'L' or 'l', then A contains the lower triangular part of  *        a symmetric matrix, and the strictly upper triangular part is not  *        referenced.  * lda    is the leading dimension of the two-dimensional array containing A. *        lda must be at least max(1, n). * x      single precision array of length at least (1 + (n - 1) * abs(incx)). *        On entry, x contains the n element right-hand side vector b. On exit, *        it is overwritten with the solution vector x. * incx   specifies the storage spacing between elements of x. incx must not  *        be zero. * * Output * ------ * x      updated to contain the solution vector x that solves op(A) * x = b. * * Reference: http://www.netlib.org/blas/strsv.f * * Error status for this function can be retrieved via cublasGetError(). * * Error Status * ------------ * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized * CUBLAS_STATUS_INVALID_VALUE    if incx == 0 or if n < 0 or n > 4070 * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU */__host__ void CUBLASAPI cublasStrsv (char uplo, char trans, char diag, int n,                                      const float *A, int lda, float *x,                                      int incx){    struct cublasContext *ctx = CUBLAS_GET_CTX();    struct cublasStrsvParams params;    cudaError_t cudaStat;    int info = 0;    if (!cublasInitialized (ctx)) {        cublasSetError (ctx, CUBLAS_STATUS_NOT_INITIALIZED);        return;    }    /* check other inputs */    if ((toupper (uplo) != 'U') &&        (toupper (uplo) != 'L')) {        info = 1;    }    else if ((toupper (trans) != 'N') &&              (toupper (trans) != 'T') &&              (toupper (trans) != 'C')) {        info = 2;    }     else if ((toupper (diag) != 'U') &&             (toupper (diag) != 'N')) {        info = 3;    }    /* FIXME: There should be no upper limit on n */    else if ((n < 0) || (n > CUBLAS_STRSV_MAX_DIM)) {        info = 4;    }    else if (lda < imax (1, n)) {        info = 6;    }    else if (incx == 0) {        info = 8;    }    if (info) {        cublasXerbla ("STRSV ", info);        cublasSetError (ctx, CUBLAS_STATUS_INVALID_VALUE);        return;    }    /* early out if nothing to do */    if (n == 0) {        return;    }    memset (&params, 0, sizeof(params));    params.n = n;    params.A = A;    params.lda = lda;    params.x = x;    params.incx = incx;    params.trans = ((toupper(trans) == 'T') || (toupper(trans) == 'C'));    params.unit = (toupper(diag) == 'U');    params.up = (toupper(uplo) == 'U');    cudaStat = cudaGetLastError(); /* clear error status */    if (params.trans) {        if (params.up) {            strsv_main_tr_up<<<CUBLAS_STRSV_CTAS,CUBLAS_STRSV_THREAD_COUNT>>>(params);        } else {            strsv_main_tr_lo<<<CUBLAS_STRSV_CTAS,CUBLAS_STRSV_THREAD_COUNT>>>(params);        }    } else {        if (params.up) {            strsv_main_nt_up<<<CUBLAS_STRSV_CTAS,CUBLAS_STRSV_THREAD_COUNT>>>(params);        } else {            strsv_main_nt_lo<<<CUBLAS_STRSV_CTAS,CUBLAS_STRSV_THREAD_COUNT>>>(params);        }    }            cudaStat = cudaGetLastError(); /* check for launch error */    if (cudaStat != cudaSuccess) {        cublasSetError (ctx, CUBLAS_STATUS_EXECUTION_FAILED);    }}/* column-major ordering */#define IDXA(row,col)       (parms.lda*(col)+(row))#define IDXX(i)             (startx + ((i) * parms.incx))#define XINC                (CUBLAS_STRSV_THREAD_COUNT)__shared__ float XX[CUBLAS_STRSV_MAX_DIM];  /* cached portion of vector x */__shared__ float temp;                      /* current diagonal element */__global__ void strsv_main_tr_up (struct cublasStrsvParams parms) {#undef  TRANS#undef  UP#define TRANS 1#define UP    1#include "strsv.h"}__global__ void strsv_main_tr_lo (struct cublasStrsvParams parms){#undef  TRANS#undef  UP#define TRANS 1#define UP    0#include "strsv.h"}__global__ void strsv_main_nt_up (struct cublasStrsvParams parms){#undef  TRANS#undef  UP#define TRANS 0#define UP    1#include "strsv.h"}__global__ void strsv_main_nt_lo (struct cublasStrsvParams parms){#undef  TRANS#undef  UP#define TRANS 0#define UP    0#include "strsv.h"}

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