Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

Commit

Permalink
add mkl install method
Browse files Browse the repository at this point in the history
  • Loading branch information
xinyu-intel committed Jul 9, 2019
1 parent e02c0a2 commit 0d83b61
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion docs/tutorials/mkldnn/MKLDNN_README.md
Original file line number Diff line number Diff line change
Expand Up @@ -214,7 +214,7 @@ With MKL BLAS, the performace is expected to furtherly improved with variable ra
You can redistribute not only dynamic libraries but also headers, examples and static libraries on accepting the license [Intel Simplified license](https://software.intel.com/en-us/license/intel-simplified-software-license).
Installing the full MKL installation enables MKL support for all operators under the linalg namespace.

1. Download and install the latest full MKL version following instructions on the [intel website.](https://software.intel.com/en-us/mkl)
1. Download and install the latest full MKL version following instructions on the [intel website.](https://software.intel.com/en-us/mkl) You can also install MKL through [YUM](https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-yum-repo) or [APT](https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo) Repository.

2. Run `make -j ${nproc} USE_BLAS=mkl`

Expand Down

0 comments on commit 0d83b61

Please sign in to comment.