pytorch底层矩阵运算：How to check if PyTorch or Numpy is using OpenBLAS or MKL? &线性代数库BLAS(cblas_gemm示例)

chck if Pytorch is using OpenBLAS or MKL?

torch.__config__.show()

输入如下：

‘PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel® oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel® 64 architecture applications\n - Intel® MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 10.2\n - NVCC ar