* Upgrade presets for Hyperscan 5.4.2, LLVM 16.0.3, OpenCL 3.0.14, T…

…VM 0.12.0

.github/actions/redeploy/action.yml

@@ -82,7 +82,7 @@ runs:
         done
 
         for LINE in $(sort -u dependencies.txt); do
-            if [[ $LINE =~ $GROUP:([^:]*):jar:([^:]*):compile ]]; then
+            if [[ $LINE =~ $GROUP:([^:]*):jar:([^:]*-SNAPSHOT):compile ]]; then
                 ARTIFACT=${BASH_REMATCH[1]}
                 VERSION=${BASH_REMATCH[2]}
                 FILES=

CHANGELOG.md

@@ -21,7 +21,7 @@
  * Map `c10::impl::GenericDict` as returned by `c10::IValue::toGenericDict()` in presets for PyTorch
  * Introduce `linux-armhf` and `linux-x86` builds to presets for TensorFlow Lite ([pull #1268](https://github.com/bytedeco/javacpp-presets/pull/1268))
  * Add presets for LibRaw 0.20.2 ([pull #1211](https://github.com/bytedeco/javacpp-presets/pull/1211))
- * Upgrade presets for OpenCV 4.7.0, FFmpeg 6.0 ([issue bytedeco/javacv#1693](https://github.com/bytedeco/javacv/issues/1693)), HDF5 1.14.0, Hyperscan 5.4.1 ([issue #1308](https://github.com/bytedeco/javacpp-presets/issues/1308)), Spinnaker 3.0.0.118 ([pull #1313](https://github.com/bytedeco/javacpp-presets/pull/1313)), librealsense2 2.53.1 ([pull #1305](https://github.com/bytedeco/javacpp-presets/pull/1305)), MKL 2023.1, DNNL 3.1, OpenBLAS 0.3.23, ARPACK-NG 3.9.0, CPython 3.11.3, NumPy 1.24.2, SciPy 1.10.1, LLVM 16.0.1, Leptonica 1.83.0, Tesseract 5.3.1, CUDA 12.1.1, cuDNN 8.9.0, NCCL 2.17.1, OpenCL 3.0.13, NVIDIA Video Codec SDK 12.0.16, PyTorch 2.0.0, TensorFlow Lite 2.12.0, TensorRT 8.6.0.12, Triton Inference Server 2.32.0, DepthAI 2.21.2, ONNX 1.14.0, ONNX Runtime 1.15.0, TVM 0.11.1, Bullet Physics SDK 3.25, and their dependencies
+ * Upgrade presets for OpenCV 4.7.0, FFmpeg 6.0 ([issue bytedeco/javacv#1693](https://github.com/bytedeco/javacv/issues/1693)), HDF5 1.14.0, Hyperscan 5.4.2 ([issue #1308](https://github.com/bytedeco/javacpp-presets/issues/1308)), Spinnaker 3.0.0.118 ([pull #1313](https://github.com/bytedeco/javacpp-presets/pull/1313)), librealsense2 2.53.1 ([pull #1305](https://github.com/bytedeco/javacpp-presets/pull/1305)), MKL 2023.1, DNNL 3.1, OpenBLAS 0.3.23, ARPACK-NG 3.9.0, CPython 3.11.3, NumPy 1.24.2, SciPy 1.10.1, LLVM 16.0.3, Leptonica 1.83.0, Tesseract 5.3.1, CUDA 12.1.1, cuDNN 8.9.0, NCCL 2.17.1, OpenCL 3.0.14, NVIDIA Video Codec SDK 12.0.16, PyTorch 2.0.0, TensorFlow Lite 2.12.0, TensorRT 8.6.0.12, Triton Inference Server 2.32.0, DepthAI 2.21.2, ONNX 1.14.0, ONNX Runtime 1.15.0, TVM 0.12.0, Bullet Physics SDK 3.25, and their dependencies
 
 ### November 2, 2022 version 1.5.8
  * Fix mapping of `torch::ExpandingArrayWithOptionalElem` in presets for PyTorch ([issue #1250](https://github.com/bytedeco/javacpp-presets/issues/1250))

README.md

@@ -231,7 +231,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * ONNX 1.14.x  https://github.com/onnx/onnx
  * nGraph 0.26.0  https://github.com/NervanaSystems/ngraph
  * ONNX Runtime 1.15.x  https://github.com/microsoft/onnxruntime
- * TVM 0.11.x  https://github.com/apache/tvm
+ * TVM 0.12.x  https://github.com/apache/tvm
  * Bullet Physics SDK 3.25  https://pybullet.org
  * LiquidFun  http://google.github.io/liquidfun/
  * Qt 5.15.x  https://download.qt.io/archive/qt/

hyperscan/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * Hyperscan 5.4.1  https://www.hyperscan.io
+ * Hyperscan 5.4.2  https://www.hyperscan.io
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -51,7 +51,7 @@ Be aware that flag `-Djavacpp.platform` can be used to specify the target platfo
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>hyperscan-platform</artifactId>
-            <version>5.4.1-1.5.9-SNAPSHOT</version>
+            <version>5.4.2-1.5.9-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

hyperscan/cppbuild.sh

@@ -7,7 +7,7 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-HYPERSCAN_VERSION=5.4.1
+HYPERSCAN_VERSION=5.4.2
 BOOST=1_70_0
 download "https://github.com/intel/hyperscan/archive/v$HYPERSCAN_VERSION.tar.gz" hyperscan-$HYPERSCAN_VERSION.tar.gz
 download http://downloads.sourceforge.net/project/boost/boost/${BOOST//_/.}/boost_$BOOST.tar.gz boost_$BOOST.tar.gz

hyperscan/platform/pom.xml

@@ -11,7 +11,7 @@
   </parent>
 
   <artifactId>hyperscan-platform</artifactId>
-  <version>5.4.1-${project.parent.version}</version>
+  <version>5.4.2-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for hyperscan</name>
 
   <properties>

hyperscan/pom.xml

@@ -10,7 +10,7 @@
   <modelVersion>4.0.0</modelVersion>
 
   <artifactId>hyperscan</artifactId>
-  <version>5.4.1-${project.parent.version}</version>
+  <version>5.4.2-${project.parent.version}</version>
   <name>JavaCPP Presets for Hyperscan</name>
 
   <dependencies>

hyperscan/samples/pom.xml

@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>hyperscan-platform</artifactId>
-            <version>5.4.1-1.5.9-SNAPSHOT</version>
+            <version>5.4.2-1.5.9-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

hyperscan/src/gen/java/org/bytedeco/hyperscan/global/hyperscan.java

@@ -2382,7 +2382,7 @@ public class hyperscan extends org.bytedeco.hyperscan.presets.hyperscan {
 
 public static final int HS_MAJOR =      5;
 public static final int HS_MINOR =      4;
-public static final int HS_PATCH =      1;
+public static final int HS_PATCH =      2;
 
 // #include "hs_compile.h"
 // #include "hs_runtime.h"

llvm/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * LLVM 16.0.1  http://llvm.org/
+ * LLVM 16.0.3  http://llvm.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -50,7 +50,7 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>llvm-platform</artifactId>
-            <version>16.0.1-1.5.9-SNAPSHOT</version>
+            <version>16.0.3-1.5.9-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

llvm/cppbuild.sh

@@ -7,7 +7,7 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-LLVM_VERSION=16.0.1
+LLVM_VERSION=16.0.3
 download https://github.com/llvm/llvm-project/releases/download/llvmorg-$LLVM_VERSION/llvm-project-$LLVM_VERSION.src.tar.xz llvm-project-$LLVM_VERSION.src.tar.xz
 
 mkdir -p $PLATFORM

llvm/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>llvm-platform</artifactId>
-  <version>16.0.1-${project.parent.version}</version>
+  <version>16.0.3-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for LLVM</name>
 
   <properties>

llvm/pom.xml

@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>llvm</artifactId>
-  <version>16.0.1-${project.parent.version}</version>
+  <version>16.0.3-${project.parent.version}</version>
   <name>JavaCPP Presets for LLVM</name>
 
   <dependencies>

llvm/samples/clang/pom.xml

@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>llvm-platform</artifactId>
-            <version>16.0.1-1.5.9-SNAPSHOT</version>
+            <version>16.0.3-1.5.9-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

llvm/samples/llvm/pom.xml

@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>llvm-platform</artifactId>
-            <version>16.0.1-1.5.9-SNAPSHOT</version>
+            <version>16.0.3-1.5.9-SNAPSHOT</version>
         </dependency>
         <dependency>
             <groupId>org.bytedeco</groupId>

llvm/samples/polly/pom.xml

@@ -13,7 +13,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>llvm-platform</artifactId>
-            <version>16.0.1-1.5.9-SNAPSHOT</version>
+            <version>16.0.3-1.5.9-SNAPSHOT</version>
         </dependency>
         <dependency>
             <groupId>org.bytedeco</groupId>

opencl/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * OpenCL 3.0.13  https://www.khronos.org/registry/OpenCL/
+ * OpenCL 3.0.14  https://www.khronos.org/registry/OpenCL/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 

opencl/cppbuild.sh

@@ -7,8 +7,8 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-OPENCL_VERSION=2023.02.06
-CLHPP_VERSION=2023.02.06
+OPENCL_VERSION=2023.04.17
+CLHPP_VERSION=2023.04.17
 download https://github.com/KhronosGroup/OpenCL-Headers/archive/v$OPENCL_VERSION.tar.gz OpenCL-Headers-$OPENCL_VERSION.tar.gz
 download https://github.com/KhronosGroup/OpenCL-ICD-Loader/archive/v$OPENCL_VERSION.tar.gz OpenCL-ICD-Loader-$OPENCL_VERSION.tar.gz
 download https://github.com/KhronosGroup/OpenCL-CLHPP/archive/v$CLHPP_VERSION.tar.gz OpenCL-CLHPP-$CLHPP_VERSION.tar.gz

opencl/src/gen/java/org/bytedeco/opencl/global/OpenCL.java

@@ -1541,6 +1541,13 @@ public class OpenCL extends org.bytedeco.opencl.presets.OpenCL {
 
 /********************************************************************************************************/
 
+/* CL_NO_PROTOTYPES implies CL_NO_CORE_PROTOTYPES: */
+// #if defined(CL_NO_PROTOTYPES) && !defined(CL_NO_CORE_PROTOTYPES)
+// #define CL_NO_CORE_PROTOTYPES
+// #endif
+
+// #if !defined(CL_NO_CORE_PROTOTYPES)
+
 /* Platform API */
 public static native @Cast("cl_int") int clGetPlatformIDs(@Cast("cl_uint") int num_entries,
                  @Cast("cl_platform_id*") PointerPointer platforms,
@@ -3271,6 +3278,8 @@ public static native Pointer clGetExtensionFunctionAddressForPlatform(_cl_platfo
               @Cast("const cl_event*") @ByPtrPtr _cl_event event_wait_list,
               @ByPtrPtr _cl_event event);
 
+// #endif /* !defined(CL_NO_CORE_PROTOTYPES) */
+
 // #ifdef __cplusplus
 // #endif
 

platform/pom.xml

@@ -161,7 +161,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>hyperscan-platform</artifactId>
-      <version>5.4.1-${project.version}</version>
+      <version>5.4.2-${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -231,7 +231,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>llvm-platform</artifactId>
-      <version>16.0.1-${project.version}</version>
+      <version>16.0.3-${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -341,7 +341,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>tvm-platform</artifactId>
-      <version>0.11.1-${project.version}</version>
+      <version>0.12.0-${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>

tvm/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * TVM 0.11.1  http://tvm.apache.org/
+ * TVM 0.12.0  http://tvm.apache.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -49,14 +49,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>tvm-platform</artifactId>
-            <version>0.11.1-1.5.9-SNAPSHOT</version>
+            <version>0.12.0-1.5.9-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA and cuDNN -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>tvm-platform-gpu</artifactId>
-            <version>0.11.1-1.5.9-SNAPSHOT</version>
+            <version>0.12.0-1.5.9-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA and cuDNN -->

tvm/cppbuild.sh

@@ -12,7 +12,7 @@ if [[ "$EXTENSION" == *gpu ]]; then
     GPU_FLAGS="-DUSE_CUDA=ON -DUSE_CUDNN=ON -DUSE_CUBLAS=ON"
 fi
 
-TVM_VERSION=0.11.1
+TVM_VERSION=0.12.0
 
 mkdir -p "$PLATFORM$EXTENSION"
 cd "$PLATFORM$EXTENSION"
@@ -83,7 +83,7 @@ sedinplace '/                "tornado",/a\
 sedinplace 's/uint32_t _type_child_slots_can_overflow/bool _type_child_slots_can_overflow/g' include/tvm/runtime/ndarray.h
 sedinplace 's/bias\[OC\]/bias\[256\]/g' src/runtime/contrib/dnnl/dnnl_json_runtime.cc
 sedinplace 's/llvm::None/std::nullopt/g' src/target/llvm/codegen_llvm.cc
-sedinplace 's/-Werror//g' src/runtime/crt/Makefile
+#sedinplace 's/-Werror//g' src/runtime/crt/Makefile
 sedinplace '/numpy/d' python/setup.py
 sedinplace '/scipy/d' python/setup.py
 sedinplace '/candidate_path/d' python/setup.py
@@ -148,7 +148,7 @@ $PYTHON_BIN_PATH -m pip install --target=$PYTHON_LIB_PATH setuptools==59.1.0
 
 case $PLATFORM in
     linux-x86_64)
-        $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH -DUSE_MICRO=ON $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOMP_LIBRARY=$MKL_PATH/lib/libiomp5.so -DCMAKE_C_FLAGS='-Wl,-rpath,$ORIGIN/,-rpath,$ORIGIN/../../' -DCMAKE_CXX_FLAGS='-Wl,-rpath,$ORIGIN/,-rpath,$ORIGIN/../../' .
+        $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_LIBBACKTRACE=OFF -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH -DUSE_MICRO=ON $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOMP_LIBRARY=$MKL_PATH/lib/libiomp5.so -DCMAKE_C_FLAGS='-Wl,-rpath,$ORIGIN/,-rpath,$ORIGIN/../../' -DCMAKE_CXX_FLAGS='-Wl,-rpath,$ORIGIN/,-rpath,$ORIGIN/../../' .
         make -j $MAKEJ
         make install/strip
         cd python
@@ -161,7 +161,7 @@ case $PLATFORM in
         cp /usr/local/lib/libomp.dylib ../lib/libiomp5.dylib
         chmod +w ../lib/libiomp5.dylib
         install_name_tool -id @rpath/libiomp5.dylib ../lib/libiomp5.dylib
-        $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH -DUSE_MICRO=ON $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOpenMP_C_FLAGS="-Xclang -fopenmp" -DOpenMP_CXX_FLAGS="-Xclang -fopenmp" -DCMAKE_C_FLAGS="-I/usr/local/include -L$INSTALL_PATH/lib -liomp5" -DCMAKE_CXX_FLAGS="-I/usr/local/include -L$INSTALL_PATH/lib -liomp5" .
+        $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_LIBBACKTRACE=OFF -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH -DUSE_MICRO=ON $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOpenMP_C_FLAGS="-Xclang -fopenmp" -DOpenMP_CXX_FLAGS="-Xclang -fopenmp" -DCMAKE_C_FLAGS="-I/usr/local/include -L$INSTALL_PATH/lib -liomp5" -DCMAKE_CXX_FLAGS="-I/usr/local/include -L$INSTALL_PATH/lib -liomp5" .
         make -j $MAKEJ
         make install/strip
         cd python
@@ -173,7 +173,7 @@ case $PLATFORM in
     windows-x86_64)
         export CC="cl.exe"
         export CXX="cl.exe"
-        $CMAKE -G "Ninja" -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOMP_LIBRARY= .
+        $CMAKE -G "Ninja" -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_BUILD_TYPE=Release -DUSE_LIBBACKTRACE=OFF -DUSE_MKL=$MKL_PATH -DUSE_LLVM=$LLVM_PATH/bin/llvm-config -DUSE_MKLDNN=$MKLDNN_PATH -DCMAKE_LIBRARY_PATH=$MKLDNN_PATH/lib -DUSE_DNNL_CODEGEN=ON -DUSE_DNNL=$MKLDNN_PATH $GPU_FLAGS -DUSE_OPENCL=$OPENCL_PATH -DUSE_OPENMP=intel -DOMP_LIBRARY= .
         ninja -j $MAKEJ
         ninja install
         cd python

tvm/platform/gpu/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>tvm-platform-gpu</artifactId>
-  <version>0.11.1-${project.parent.version}</version>
+  <version>0.12.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform GPU for TVM</name>
 
   <properties>
@@ -24,12 +24,12 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>dnnl-platform</artifactId>
-      <version>2.7.3-${project.parent.version}</version>
+      <version>2.7.1-1.5.8</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>llvm-platform</artifactId>
-      <version>16.0.1-${project.parent.version}</version>
+      <version>16.0.3-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -41,6 +41,11 @@
       <artifactId>scipy-platform</artifactId>
       <version>1.10.1-${project.parent.version}</version>
     </dependency>
+    <dependency>
+      <groupId>org.bytedeco</groupId>
+      <artifactId>javacpp-platform</artifactId>
+      <version>${project.parent.version}</version>
+    </dependency>
     <dependency>
       <groupId>${project.groupId}</groupId>
       <artifactId>${javacpp.moduleId}</artifactId>

tvm/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>tvm-platform</artifactId>
-  <version>0.11.1-${project.parent.version}</version>
+  <version>0.12.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for TVM</name>
 
   <properties>
@@ -23,12 +23,12 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>dnnl-platform</artifactId>
-      <version>2.7.3-${project.parent.version}</version>
+      <version>2.7.1-1.5.8</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>llvm-platform</artifactId>
-      <version>16.0.1-${project.parent.version}</version>
+      <version>16.0.3-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -40,6 +40,11 @@
       <artifactId>scipy-platform</artifactId>
       <version>1.10.1-${project.parent.version}</version>
     </dependency>
+    <dependency>
+      <groupId>org.bytedeco</groupId>
+      <artifactId>javacpp-platform</artifactId>
+      <version>${project.parent.version}</version>
+    </dependency>
     <dependency>
       <groupId>${project.groupId}</groupId>
       <artifactId>${javacpp.moduleId}</artifactId>