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| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2017-02-16 16:23:45 -0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-02-16 16:23:45 -0800 |
| commit | c5fad40d336883feb64cb0405abd4f56579faa83 (patch) | |
| tree | 553591b077e5a4a56d89adfe01522748b4a4bd1f | |
| parent | c510e335de00870486bbbe9082296b226322fb50 (diff) | |
| parent | 8c041a7cf3e571b175cfd8859f1af5f067f8cd7a (diff) | |
| download | caffeonacl-c5fad40d336883feb64cb0405abd4f56579faa83.tar.gz caffeonacl-c5fad40d336883feb64cb0405abd4f56579faa83.tar.bz2 caffeonacl-c5fad40d336883feb64cb0405abd4f56579faa83.zip | |
Merge pull request #3893 from rscohn2/patch-1
[docs] info about MKL licensing
| -rw-r--r-- | docs/installation.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/installation.md b/docs/installation.md index 6b2cd3bd..2e558027 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -64,7 +64,7 @@ Caffe requires BLAS as the backend of its matrix and vector computations. There are several implementations of this library. The choice is yours: * [ATLAS](http://math-atlas.sourceforge.net/): free, open source, and so the default for Caffe. -* [Intel MKL](http://software.intel.com/en-us/intel-mkl): commercial and optimized for Intel CPUs, with a free trial and [student](http://software.intel.com/en-us/intel-education-offerings) licenses. +* [Intel MKL](http://software.intel.com/en-us/intel-mkl): commercial and optimized for Intel CPUs, with [free](https://registrationcenter.intel.com/en/forms/?productid=2558) licenses. 1. Install MKL. 2. Set up MKL environment (Details: [Linux](https://software.intel.com/en-us/node/528499), [OS X](https://software.intel.com/en-us/node/528659)). Example: *source /opt/intel/mkl/bin/mklvars.sh intel64* 3. Set `BLAS := mkl` in `Makefile.config` |