[Master][CI][Bugfix] Clang-format-13 file needs to have right license…

… header and install clang-format package. (#20658) * Skip clang-format-13 file * Install clang format package * [DOC] Fix broken links Co-authored-by: barry-jin <[email protected]>
apache · Oct 12, 2021 · 0d09770 · 0d09770
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diff --git a/.licenserc.yaml b/.licenserc.yaml
@@ -11,6 +11,7 @@ header:
     - 'DISCLAIMER'
     - 'KEYS'
     - 'tools/dependencies/LICENSE.binary.dependencies'
+    - 'tools/lint/git-clang-format-13'
     # files not distributed in source archive (listed in tools/source-exclude-artifacts.txt)
     - 'docs'
     - 'CODEOWNERS'

diff --git a/ci/docker/Dockerfile.build.ubuntu b/ci/docker/Dockerfile.build.ubuntu
@@ -58,6 +58,7 @@ RUN export DEBIAN_FRONTEND=noninteractive && \
         libprotobuf-dev \
         default-jdk \
         clang-6.0 \
+        clang-format \
         python-yaml \
         clang-10 \
         clang-tidy-10 \

diff --git a/docs/python_docs/python/tutorials/performance/backend/mkldnn/mkldnn_readme.md b/docs/python_docs/python/tutorials/performance/backend/mkldnn/mkldnn_readme.md
@@ -231,7 +231,7 @@ 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) 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.
+  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/content/www/us/en/develop/documentation/installation-guide-for-intel-oneapi-toolkits-linux/top/installation/install-using-package-managers/yum-dnf-zypper.html) or [APT](https://software.intel.com/content/www/us/en/develop/documentation/installation-guide-for-intel-oneapi-toolkits-linux/top/installation/install-using-package-managers/apt.html) Repository.
 
   2. Run `make -j ${nproc} USE_BLAS=mkl`