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

[Doc] Add MKL install method apt/yum into tutorial #15491

Merged
merged 3 commits into from
Jul 11, 2019
Merged

[Doc] Add MKL install method apt/yum into tutorial #15491

Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0d83b61
add mkl install method
xinyu-intel Jul 9, 2019
3ddbd55
update in build instruction
xinyu-intel Jul 9, 2019
b1eae7e
trigger
xinyu-intel Jul 10, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/tutorials/mkldnn/MKLDNN_README.md
View file
Open in desktop
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