* Include mkl_lapack.h header file in presets for MKL (issue #1388)

bytedeco · Jul 18, 2023 · b80d5a2 · b80d5a2
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diff --git a/.github/actions/deploy-ubuntu/action.yml b/.github/actions/deploy-ubuntu/action.yml
@@ -199,6 +199,13 @@ runs:
           echo Installing MKL
           curl -LO https://registrationcenter-download.intel.com/akdlm/IRC_NAS/cd17b7fe-500e-4305-a89b-bd5b42bfd9f8/l_onemkl_p_2023.1.0.46342_offline.sh
           $SUDO bash l_onemkl_p_2023.1.0.46342_offline.sh -s -a -s --eula accept
+          export MAVEN_OPTIONS="-Djavacpp.platform.compiler=clang++"
+
+          # Allocate a swapfile on Linux as it's not enabled by default
+          $SUDO fallocate -l 4GB /swapfile
+          $SUDO chmod 600 /swapfile
+          $SUDO mkswap /swapfile
+          $SUDO swapon /swapfile
         fi
 
         if [[ "$CI_DEPLOY_PLATFORM" == "linux-armhf" ]] && [[ "$CI_DEPLOY_MODULE" == "flycapture" ]]; then

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,4 +1,5 @@
 
+ * Include `mkl_lapack.h` header file in presets for MKL ([issue #1388](https://github.com/bytedeco/javacpp-presets/issues/1388))
  * Map new higher-level C++ API of Triton Inference Server ([pull #1361](https://github.com/bytedeco/javacpp-presets/pull/1361))
  * Upgrade presets for OpenCV 4.8.0, DNNL 3.1.1, CPython 3.11.4, NumPy 1.25.1, SciPy 1.11.1, LLVM 16.0.6, TensorFlow Lite 2.13.0, Triton Inference Server 2.34.0, ONNX Runtime 1.15.1, and their dependencies