printf(" Making the first run of matrix product using Intel(R) MKL dgemm function \n"" via CBLAS interface to get stable run time measurements \n\n"); cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, m, n, p, alpha, A, p, B, n, beta, C, n);printf(" Measuring performance...
#include <torch/torch.h> #include <iostream> #include <cblas.h> extern "C" void execute () { for (auto i = 1; i < 10; i++) { torch::Tensor tensor = torch::randn({2000, 2000}); auto k = tensor.mm(tensor); } } int main() { int m = 3; // rows of A int n = ...
} cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, M, K, N,1, A, lda, B, ldb,0, C, ldc);for(i =0; i < M; i++) {memcpy
http://goodluck1982.blog.sohu.com/94851969.html void cblas_sgemm(const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const float alpha, const float *a, const MKL_INT lda, const float *b, const MKL...
MKL库:cblas_dgemm之二 技术标签: 学习笔记#include "mkl.h" #include <stdio.h> #include <iostream> using namespace std; int main() { int i = 0; double A[6] = { 1.0, 2.0, 1.0, -3.0, 4.0, -1.0 }; double B[4] = { 1.0, 2.0, 1.0, -3.0}; double C[6] = { 0.0 }; //...
[9]; // 存储结果的矩阵 // 设置alpha和beta参数 double alpha = 1.0, beta = 0.0; // 调用cblas_dgemm函数进行矩阵乘法 cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, m, n, k, alpha, A, n, B, n, beta, C, n); // 打印结果矩阵C for (int i = 0; i < m * n; i+...
#include <stdio.h> #include "mkl_blas.h" int main() { const int dim=2; double a[4]={1.0,1.0,1.0,1.0},b[4]={2.0,2.0,2.0,2.0},c[4]; int m=dim,n=dim,k=dim,lda=dim,ldb=dim,ldc=dim; double al=1.0,be=0.0; cblas_dgemm(101,111,111,m,n,k,al,a,lda,b,ldb,be,c,ldc...
importnumpyasnpnp.__config__.show()>>>blas_mkl_info:NOTAVAILABLEblis_info:NOTAVAILABLEopenblas_info:libraries=['openblas','openblas']library_dirs=['/home/*/anaconda3/lib']language=cdefine_macros=[('HAVE_CBLAS',None)]... 2.测试平台和方法 2.1 ...
#include "mkl_types.h"int _tmain(int argc, char *argv[]){ MKL_INT m = 2, n = 4, k = 3; MKL_INT lda = k, ldb = n, ldc = n; float alpha = 1, beta = 1; float *a = new float[6], *b = new float[12], *c = new float[8]; CBLAS_ORDER order = CblasRowMajor...
MKL库中基本线性代数子程序,BLAS(Basic Linear Algebra Subprograms)库,是一个API标淮,用以规范发布基础线性代数操作的数值库(如向量或矩阵乘法)。其中CBLAS是BLAS的C语言接口。 库中前缀用来区分所支持处理的数据类型。 | 前缀 | 描述 | 函数名系列