* Upgrade presets for CUDA 11.4.2 + NvToolsExt (NVTX), cuDNN 8.2.4, …

…NCCL 2.11.4

.github/actions/deploy-centos/action.yml

@@ -62,16 +62,16 @@ runs:
 
         if [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
           echo Installing CUDA, cuDNN, etc
-          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.0/local_installers/cuda-repo-rhel7-11-4-local-11.4.0_470.42.01-1.x86_64.rpm
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.2/cudnn-11.4-linux-x64-v8.2.2.26.tgz
-          curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.10/nccl_2.10.3-1+cuda11.4_x86_64.txz
+          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda-repo-rhel7-11-4-local-11.4.2_470.57.02-1.x86_64.rpm
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/cudnn-11.4-linux-x64-v8.2.4.15.tgz
+          curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.11/nccl_2.11.4-1+cuda11.4_x86_64.txz
 
-          rpm -i --force --ignorearch --nodeps cuda-repo-rhel7-11-4-local-11.4.0_470.42.01-1.x86_64.rpm
+          rpm -i --force --ignorearch --nodeps cuda-repo-rhel7-11-4-local-11.4.2_470.57.02-1.x86_64.rpm
           pushd /var/cuda-repo-rhel7-11-4-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd
           ln -sf /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/libcuda.so
           ln -sf /usr/local/cuda/lib64/stubs/libnvidia-ml.so /usr/local/cuda/lib64/libnvidia-ml.so
-          tar -hxvf cudnn-11.4-linux-x64-v8.2.2.26.tgz -C /usr/local/
-          tar -hxvf nccl_2.10.3-1+cuda11.4_x86_64.txz --strip-components=1 -C /usr/local/cuda/
+          tar -hxvf cudnn-11.4-linux-x64-v8.2.4.15.tgz -C /usr/local/
+          tar -hxvf nccl_2.11.4-1+cuda11.4_x86_64.txz --strip-components=1 -C /usr/local/cuda/
           mv /usr/local/cuda/lib/* /usr/local/cuda/lib64/
 
           # Work around issues with CUDA 10.2/11.x

.github/actions/deploy-ubuntu/action.yml

@@ -13,21 +13,21 @@ runs:
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]]; then
           export ARCH=arm64
           export PREFIX=aarch64-linux-gnu
-          export CUDA=cuda-repo-rhel8-11-4-local-11.4.0_470.42.01-1.aarch64.rpm
-          export CUDNN=cudnn-11.4-linux-aarch64sbsa-v8.2.2.26.tgz
-          export NCCL=nccl_2.10.3-1+cuda11.4_aarch64.txz
+          export CUDA=cuda-repo-rhel8-11-4-local-11.4.2_470.57.02-1.aarch64.rpm
+          export CUDNN=cudnn-11.4-linux-aarch64sbsa-v8.2.4.15.tgz
+          export NCCL=nccl_2.11.4-1+cuda11.4_aarch64.txz
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
           export ARCH=ppc64el
           export PREFIX=powerpc64le-linux-gnu
-          export CUDA=cuda-repo-rhel8-11-4-local-11.4.0_470.42.01-1.ppc64le.rpm
-          export CUDNN=cudnn-11.4-linux-ppc64le-v8.2.2.26.tgz
-          export NCCL=nccl_2.10.3-1+cuda11.4_ppc64le.txz
+          export CUDA=cuda-repo-rhel8-11-4-local-11.4.2_470.57.02-1.ppc64le.rpm
+          export CUDNN=cudnn-11.4-linux-ppc64le-v8.2.4.15.tgz
+          export NCCL=nccl_2.11.4-1+cuda11.4_ppc64le.txz
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]]; then
           export ARCH=amd64
           export PREFIX=x86_64-linux-gnu
-          export CUDA=cuda-repo-rhel7-11-4-local-11.4.0_470.42.01-1.x86_64.rpm
-          export CUDNN=cudnn-11.4-linux-x64-v8.2.2.26.tgz
-          export NCCL=nccl_2.10.3-1+cuda11.4_x86_64.txz
+          export CUDA=cuda-repo-rhel7-11-4-local-11.4.2_470.57.02-1.x86_64.rpm
+          export CUDNN=cudnn-11.4-linux-x64-v8.2.4.15.tgz
+          export NCCL=nccl_2.11.4-1+cuda11.4_x86_64.txz
         fi
         echo "ARCH=$ARCH" >> $GITHUB_ENV
         echo "PREFIX=$PREFIX" >> $GITHUB_ENV
@@ -107,9 +107,9 @@ runs:
 
         if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] || [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
           echo Installing CUDA, cuDNN, etc
-          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.0/local_installers/$CUDA
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.2/$CUDNN
-          curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.10/$NCCL
+          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/$CUDA
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/$CUDNN
+          curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.11/$NCCL
 
           rpm -i --force --ignorearch --nodeps $CUDA
           pushd /var/cuda-repo-rhel8-11-4-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd

.github/actions/deploy-windows/action.yml

@@ -68,10 +68,10 @@ runs:
 
         if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
           echo Installing CUDA, cuDNN, etc
-          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.0/local_installers/cuda_11.4.0_471.11_win10.exe
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.2/cudnn-11.4-windows-x64-v8.2.2.26.zip
-          cuda_11.4.0_471.11_win10.exe -s
-          unzip cudnn-11.4-windows-x64-v8.2.2.26.zip
+          curl -LO https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_471.41_win10.exe
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/cudnn-11.4-windows-x64-v8.2.4.15.zip
+          cuda_11.4.2_471.41_win10.exe -s
+          unzip cudnn-11.4-windows-x64-v8.2.4.15.zip
           move cuda\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin"
           move cuda\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.4\include"
           move cuda\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.4\lib\x64"

CHANGELOG.md

@@ -1,9 +1,10 @@
 
+ * Add presets for the NvToolsExt (NVTX) module of CUDA ([issue #1068](https://github.com/bytedeco/javacpp-presets/issues/1068))
  * Increase the amount of function pointers available for callbacks in presets for Qt ([pull #1080](https://github.com/bytedeco/javacpp-presets/pull/1080))
  * Map C++ JIT classes and functions of TorchScript in presets for PyTorch ([issue #1068](https://github.com/bytedeco/javacpp-presets/issues/1068))
  * Synchronize `cachePackage()` and prevent repeated package caching in all presets ([pull #1071](https://github.com/bytedeco/javacpp-presets/pull/1071))
  * Build FFmpeg with VA-API enabled and bundle its libraries to avoid loading issues ([issue bytedeco/javacv#1188](https://github.com/bytedeco/javacv/issues/1188))
- * Upgrade presets for Arrow 5.0.0, DNNL 2.3.2, NumPy 1.21.2, SciPy 1.7.1, Gym 0.19.0, TensorFlow Lite 2.6.0, DepthAI 2.10.0, ONNX 1.10.1, ONNX Runtime 1.8.2, and their dependencies
+ * Upgrade presets for Arrow 5.0.0, DNNL 2.3.2, NumPy 1.21.2, SciPy 1.7.1, Gym 0.19.0, CUDA 11.4.2, cuDNN 8.2.4, NCCL 2.11.4, TensorFlow Lite 2.6.0, DepthAI 2.10.0, ONNX 1.10.1, ONNX Runtime 1.8.2, and their dependencies
 
 ### August 2, 2021 version 1.5.6
  * Change `opencv_core.Mat` constructors to create column vectors out of arrays for consistency ([issue #1064](https://github.com/bytedeco/javacpp-presets/issues/1064))

README.md

@@ -206,7 +206,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * OpenPose 1.7.0  https://github.com/CMU-Perceptual-Computing-Lab/openpose
  * CUDA 11.4.x  https://developer.nvidia.com/cuda-downloads
    * cuDNN 8.2.x  https://developer.nvidia.com/cudnn
-   * NCCL 2.10.x  https://developer.nvidia.com/nccl
+   * NCCL 2.11.x  https://developer.nvidia.com/nccl
  * NVIDIA Video Codec SDK 11.1.x  https://developer.nvidia.com/nvidia-video-codec-sdk
  * OpenCL 3.0  https://github.com/KhronosGroup/OpenCL-ICD-Loader
  * MXNet 1.8.0  https://github.com/apache/incubator-mxnet

cuda/README.md

@@ -23,9 +23,9 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * CUDA 11.4.0  https://developer.nvidia.com/cuda-zone
- * cuDNN 8.2.2  https://developer.nvidia.com/cudnn
- * NCCL 2.10.3  https://developer.nvidia.com/nccl
+ * CUDA 11.4.2  https://developer.nvidia.com/cuda-zone
+ * cuDNN 8.2.4  https://developer.nvidia.com/cudnn
+ * NCCL 2.11.4  https://developer.nvidia.com/nccl
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasContext.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLogCallback.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtContext.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtLoggerCallback_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -22,9 +22,5 @@ public class cublasLtLoggerCallback_t extends FunctionPointer {
     public    cublasLtLoggerCallback_t(Pointer p) { super(p); }
     protected cublasLtLoggerCallback_t() { allocate(); }
     private native void allocate();
-    public native void call(
-        int logLevel,
-        @Cast("const char*") BytePointer functionName,
-        @Cast("const char*") BytePointer message
-);
+    public native void call(int logLevel, @Cast("const char*") BytePointer functionName, @Cast("const char*") BytePointer message);
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatmulAlgo_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -36,6 +36,6 @@ public class cublasLtMatmulAlgo_t extends Pointer {
         return new cublasLtMatmulAlgo_t((Pointer)this).offsetAddress(i);
     }
 
-    public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulAlgo_t data(int i, long setter);
-    @MemberGetter public native @Cast("uint64_t*") LongPointer data();
+  public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulAlgo_t data(int i, long setter);
+  @MemberGetter public native @Cast("uint64_t*") LongPointer data();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatmulDescOpaque_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -33,6 +33,6 @@ public class cublasLtMatmulDescOpaque_t extends Pointer {
         return new cublasLtMatmulDescOpaque_t((Pointer)this).offsetAddress(i);
     }
 
-    public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulDescOpaque_t data(int i, long setter);
-    @MemberGetter public native @Cast("uint64_t*") LongPointer data();
+  public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulDescOpaque_t data(int i, long setter);
+  @MemberGetter public native @Cast("uint64_t*") LongPointer data();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatmulHeuristicResult_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -35,27 +35,28 @@ public class cublasLtMatmulHeuristicResult_t extends Pointer {
         return new cublasLtMatmulHeuristicResult_t((Pointer)this).offsetAddress(i);
     }
 
-    /** Matmul algorithm descriptor.
-     *
-     * Must be initialized with cublasLtMatmulAlgoInit() if preferences' CUBLASLT_MATMUL_PERF_SEARCH_MODE is set to
-     * CUBLASLT_SEARCH_LIMITED_BY_ALGO_ID
-     */
-    public native @ByRef cublasLtMatmulAlgo_t algo(); public native cublasLtMatmulHeuristicResult_t algo(cublasLtMatmulAlgo_t setter);
-
-    /** Actual size of workspace memory required.
-     */
-    public native @Cast("size_t") long workspaceSize(); public native cublasLtMatmulHeuristicResult_t workspaceSize(long setter);
-
-    /** Result status, other fields are only valid if after call to cublasLtMatmulAlgoGetHeuristic() this member is set to CUBLAS_STATUS_SUCCESS.
-     */
-    public native @Cast("cublasStatus_t") int state(); public native cublasLtMatmulHeuristicResult_t state(int setter);
-
-    /** Waves count - a device utilization metric.
-     *
-     * wavesCount value of 1.0f suggests that when kernel is launched it will fully occupy the GPU.
-     */
-    public native float wavesCount(); public native cublasLtMatmulHeuristicResult_t wavesCount(float setter);
-
-    public native int reserved(int i); public native cublasLtMatmulHeuristicResult_t reserved(int i, int setter);
-    @MemberGetter public native IntPointer reserved();
+  /** Matmul algorithm descriptor.
+   *
+   * Must be initialized with cublasLtMatmulAlgoInit() if preferences' CUBLASLT_MATMUL_PERF_SEARCH_MODE is set to
+   * CUBLASLT_SEARCH_LIMITED_BY_ALGO_ID
+   */
+  public native @ByRef cublasLtMatmulAlgo_t algo(); public native cublasLtMatmulHeuristicResult_t algo(cublasLtMatmulAlgo_t setter);
+
+  /** Actual size of workspace memory required.
+   */
+  public native @Cast("size_t") long workspaceSize(); public native cublasLtMatmulHeuristicResult_t workspaceSize(long setter);
+
+  /** Result status, other fields are only valid if after call to cublasLtMatmulAlgoGetHeuristic() this member is set to
+   * CUBLAS_STATUS_SUCCESS.
+   */
+  public native @Cast("cublasStatus_t") int state(); public native cublasLtMatmulHeuristicResult_t state(int setter);
+
+  /** Waves count - a device utilization metric.
+   *
+   * wavesCount value of 1.0f suggests that when kernel is launched it will fully occupy the GPU.
+   */
+  public native float wavesCount(); public native cublasLtMatmulHeuristicResult_t wavesCount(float setter);
+
+  public native int reserved(int i); public native cublasLtMatmulHeuristicResult_t reserved(int i, int setter);
+  @MemberGetter public native IntPointer reserved();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatmulPreferenceOpaque_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -33,6 +33,6 @@ public class cublasLtMatmulPreferenceOpaque_t extends Pointer {
         return new cublasLtMatmulPreferenceOpaque_t((Pointer)this).offsetAddress(i);
     }
 
-    public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulPreferenceOpaque_t data(int i, long setter);
-    @MemberGetter public native @Cast("uint64_t*") LongPointer data();
+  public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulPreferenceOpaque_t data(int i, long setter);
+  @MemberGetter public native @Cast("uint64_t*") LongPointer data();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatrixLayoutOpaque_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -33,6 +33,6 @@ public class cublasLtMatrixLayoutOpaque_t extends Pointer {
         return new cublasLtMatrixLayoutOpaque_t((Pointer)this).offsetAddress(i);
     }
 
-    public native @Cast("uint64_t") long data(int i); public native cublasLtMatrixLayoutOpaque_t data(int i, long setter);
-    @MemberGetter public native @Cast("uint64_t*") LongPointer data();
+  public native @Cast("uint64_t") long data(int i); public native cublasLtMatrixLayoutOpaque_t data(int i, long setter);
+  @MemberGetter public native @Cast("uint64_t*") LongPointer data();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasLtMatrixTransformDescOpaque_t.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 
@@ -33,6 +33,6 @@ public class cublasLtMatrixTransformDescOpaque_t extends Pointer {
         return new cublasLtMatrixTransformDescOpaque_t((Pointer)this).offsetAddress(i);
     }
 
-    public native @Cast("uint64_t") long data(int i); public native cublasLtMatrixTransformDescOpaque_t data(int i, long setter);
-    @MemberGetter public native @Cast("uint64_t*") LongPointer data();
+  public native @Cast("uint64_t") long data(int i); public native cublasLtMatrixTransformDescOpaque_t data(int i, long setter);
+  @MemberGetter public native @Cast("uint64_t*") LongPointer data();
 }

cuda/src/gen/java/org/bytedeco/cuda/cublas/cublasXtContext.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cublas;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_ARRAY3D_DESCRIPTOR_v2.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_ARRAY_DESCRIPTOR_v2.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_ARRAY_SPARSE_PROPERTIES_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_MEMORY_BUFFER_DESC_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_MEMORY_HANDLE_DESC_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_SEMAPHORE_HANDLE_DESC_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_SEMAPHORE_SIGNAL_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXTERNAL_SEMAPHORE_WAIT_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_EXT_SEM_WAIT_NODE_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_HOST_NODE_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_KERNEL_NODE_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_LAUNCH_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_MEMCPY2D_v2.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_MEMCPY3D_PEER_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_MEMCPY3D_v2.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;
 

cuda/src/gen/java/org/bytedeco/cuda/cudart/CUDA_MEMSET_NODE_PARAMS_v1.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.cuda.cudart;