* Upgrade presets for cuDNN 8.1.1, TensorRT 7.2.3.4, MXNet 1.8.0, ONN…

…X Runtime 1.7.0

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

@@ -63,14 +63,14 @@ 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/11.2.1/local_installers/cuda-repo-rhel7-11-2-local-11.2.1_460.32.03-1.x86_64.rpm
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.0/cudnn-11.2-linux-x64-v8.1.0.77.tgz
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/cudnn-11.2-linux-x64-v8.1.1.33.tgz
           curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.8/nccl_2.8.4-1+cuda11.2_x86_64.txz
 
           rpm -i --force --ignorearch --nodeps cuda-repo-rhel7-11-2-local-11.2.1_460.32.03-1.x86_64.rpm
           pushd /var/cuda-repo-rhel7-11-2-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-11.2-linux-x64-v8.1.0.77.tgz -C /usr/local/
+          tar -hxvf cudnn-11.2-linux-x64-v8.1.1.33.tgz -C /usr/local/
           tar -hxvf nccl_2.8.4-1+cuda11.2_x86_64.txz --strip-components=1 -C /usr/local/cuda/
           mv /usr/local/cuda/lib/* /usr/local/cuda/lib64/
 
@@ -92,8 +92,8 @@ runs:
         fi
 
         if [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
-          python3 -m gdown.cli https://drive.google.com/uc?id=1jLcLA1ShUKodi_lGOZ7i233IDKJ-q2uY
-          tar -hxvf TensorRT-7.2.2.3.CentOS-7.8.x86_64-gnu.cuda-11.2.cudnn8.1.tar.gz -C /usr/local/
+          python3 -m gdown.cli https://drive.google.com/uc?id=1iiQkP6R5KzBf_0KzMc9HKTJFO2l9gYC_
+          tar -hxvf TensorRT-7.2.3.4.CentOS-7.9.x86_64-gnu.cuda-11.2.cudnn8.1.tar.gz -C /usr/local/
           ln -sf /usr/local/TensorRT* /usr/local/tensorrt
         fi
 

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

@@ -14,13 +14,13 @@ runs:
           export ARCH=arm64
           export PREFIX=aarch64-linux-gnu
           export CUDA=cuda-repo-rhel8-11-2-local-11.2.1_460.32.03-1.aarch64.rpm
-          export CUDNN=cudnn-11.2-linux-aarch64sbsa-v8.1.0.77.tgz
+          export CUDNN=cudnn-11.2-linux-aarch64sbsa-v8.1.1.33.tgz
           export NCCL=nccl_2.8.4-1+cuda11.2_aarch64.txz
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
           export ARCH=ppc64el
           export PREFIX=powerpc64le-linux-gnu
           export CUDA=cuda-repo-rhel8-11-2-local-11.2.1_460.32.03-1.ppc64le.rpm
-          export CUDNN=cudnn-11.2-linux-ppc64le-v8.1.0.77.tgz
+          export CUDNN=cudnn-11.2-linux-ppc64le-v8.1.1.33.tgz
           export NCCL=nccl_2.8.4-1+cuda11.2_ppc64le.txz
         fi
         echo "ARCH=$ARCH" >> $GITHUB_ENV
@@ -77,7 +77,7 @@ runs:
         if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] || [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
           echo Installing CUDA, cuDNN, etc
           curl -LO https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/$CUDA
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.0/$CUDNN
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/$CUDNN
           curl -LO https://developer.download.nvidia.com/compute/redist/nccl/v2.8/$NCCL
 
           rpm -i --force --ignorearch --nodeps $CUDA

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

@@ -67,18 +67,18 @@ 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/11.2.1/local_installers/cuda_11.2.1_461.09_win10.exe
-          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.0/cudnn-11.2-windows-x64-v8.1.0.77.zip
+          curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/cudnn-11.2-windows-x64-v8.1.1.33.zip
           cuda_11.2.1_461.09_win10.exe -s
-          unzip cudnn-11.2-windows-x64-v8.1.0.77.zip
+          unzip cudnn-11.2-windows-x64-v8.1.1.33.zip
           move cuda\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin"
           move cuda\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include"
           move cuda\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v11.2\lib\x64"
         )
 
         if "%CI_DEPLOY_MODULE%"=="tensorrt" (
-          python -m gdown.cli https://drive.google.com/uc?id=1AYDpWNhxxrkv6TpCbtAC8YBXNvAa5jUe
-          unzip TensorRT-7.2.2.3.Windows10.x86_64.cuda-11.2.cudnn8.1.zip
-          move TensorRT-7.2.2.3 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
+          python -m gdown.cli https://drive.google.com/uc?id=12r8CgDD66hIYB3WIX5JQix9zVeYVeHDR
+          unzip TensorRT-7.2.3.4.Windows10.x86_64.cuda-11.2.cudnn8.1.zip
+          move TensorRT-7.2.3.4 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
         )
 
         if "%CI_DEPLOY_MODULE%"=="mkl" (

.github/workflows/mxnet.yml

@@ -25,20 +25,23 @@ jobs:
     runs-on: ubuntu-16.04
     container: centos:6
     strategy:
+      fail-fast: false
       matrix:
         ext: ["", -gpu]
     steps:
       - uses: bytedeco/javacpp-presets/.github/actions/deploy-centos@actions
   macosx-x86_64:
     runs-on: macos-10.15
 #    strategy:
+#      fail-fast: false
 #      matrix:
 #        ext: ["", -gpu]
     steps:
       - uses: bytedeco/javacpp-presets/.github/actions/deploy-macosx@actions
   windows-x86_64:
     runs-on: windows-2019
     strategy:
+      fail-fast: false
       matrix:
         ext: ["", -gpu]
     steps:

CHANGELOG.md

@@ -20,7 +20,7 @@
  * Disable assembly optimizations for libx264 with FFmpeg on Mac to work around crashes ([issue bytedeco/javacv#1519](https://github.com/bytedeco/javacv/issues/1519))
  * Add `linux-armhf` and `linux-arm64` builds for librealsense and librealsense2 ([pull #951](https://github.com/bytedeco/javacpp-presets/pull/951))
  * License default builds of FFmpeg under LGPL v3 and move GPL-enabled builds to `-gpl` extension ([pull #950](https://github.com/bytedeco/javacpp-presets/pull/950))
- * Upgrade presets for OpenCV 4.5.1, FFmpeg 4.3.2, Arrow 3.0.0, Hyperscan 5.4.0, MKL 2021.1, OpenBLAS 0.3.13, ARPACK-NG 3.8.0, CMINPACK 1.3.8, FFTW 3.3.9, librealsense2 2.40.0 ([pull #946](https://github.com/bytedeco/javacpp-presets/pull/946)), DNNL 2.1.1, CPython 3.9.2, NumPy 1.20.1, SciPy 1.6.1, Gym 0.18.0, LLVM 11.1.0 ([pull #1001](https://github.com/bytedeco/javacpp-presets/pull/1001)), OpenPose 1.7.0, CUDA 11.2.1, cuDNN 8.1.0, NCCL 2.8.4, TensorFlow 1.15.5, TensorRT 7.2.2.3, ONNX 1.8.1, ONNX Runtime 1.6.0, Qt 5.15.2, Skia 2.80.2, cpu_features 0.6.0, and their dependencies
+ * Upgrade presets for OpenCV 4.5.1, FFmpeg 4.3.2, Arrow 3.0.0, Hyperscan 5.4.0, MKL 2021.1, OpenBLAS 0.3.13, ARPACK-NG 3.8.0, CMINPACK 1.3.8, FFTW 3.3.9, librealsense2 2.40.0 ([pull #946](https://github.com/bytedeco/javacpp-presets/pull/946)), DNNL 2.1.1, CPython 3.9.2, NumPy 1.20.1, SciPy 1.6.1, Gym 0.18.0, LLVM 11.1.0 ([pull #1001](https://github.com/bytedeco/javacpp-presets/pull/1001)), OpenPose 1.7.0, CUDA 11.2.1, cuDNN 8.1.1, NCCL 2.8.4, MXNet 1.8.0, TensorFlow 1.15.5, TensorRT 7.2.3.4, ONNX 1.8.1, ONNX Runtime 1.7.0, Qt 5.15.2, Skia 2.80.2, cpu_features 0.6.0, and their dependencies
 
 ### September 9, 2020 version 1.5.4
  * Bundle `libpostal_data` program, executable via `Loader.load()` for convenience ([issue #939](https://github.com/bytedeco/javacpp-presets/issues/939))

README.md

@@ -201,13 +201,13 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
    * cuDNN 8.1.x  https://developer.nvidia.com/cudnn
    * NCCL 2.8.x  https://developer.nvidia.com/nccl
  * OpenCL 3.0  https://github.com/KhronosGroup/OpenCL-ICD-Loader
- * MXNet 1.7.0  https://github.com/apache/incubator-mxnet
+ * MXNet 1.8.0  https://github.com/apache/incubator-mxnet
  * TensorFlow 1.15.x  https://github.com/tensorflow/tensorflow
  * TensorRT 7.x  https://developer.nvidia.com/tensorrt
  * The Arcade Learning Environment 0.6.x  https://github.com/mgbellemare/Arcade-Learning-Environment
  * ONNX 1.8.x  https://github.com/onnx/onnx
  * nGraph 0.26.0  https://github.com/NervanaSystems/ngraph
- * ONNX Runtime 1.6.x  https://github.com/microsoft/onnxruntime
+ * ONNX Runtime 1.7.x  https://github.com/microsoft/onnxruntime
  * TVM 0.7.0  https://github.com/apache/tvm
  * LiquidFun  http://google.github.io/liquidfun/
  * Qt 5.15.x  https://download.qt.io/archive/qt/

cuda/README.md

@@ -24,7 +24,7 @@ Introduction
 This directory contains the JavaCPP Presets module for:
 
  * CUDA 11.2.1  https://developer.nvidia.com/cuda-zone
- * cuDNN 8.1.0  https://developer.nvidia.com/cudnn
+ * cuDNN 8.1.1  https://developer.nvidia.com/cudnn
  * NCCL 2.8.4  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/global/cudnn.java

@@ -155,7 +155,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 
 public static final int CUDNN_MAJOR = 8;
 public static final int CUDNN_MINOR = 1;
-public static final int CUDNN_PATCHLEVEL = 0;
+public static final int CUDNN_PATCHLEVEL = 1;
 
 public static final int CUDNN_VERSION = (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL);
 
@@ -228,7 +228,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_OPS_INFER_MAJOR = 8;
 public static final int CUDNN_OPS_INFER_MINOR = 1;
-public static final int CUDNN_OPS_INFER_PATCH = 0;
+public static final int CUDNN_OPS_INFER_PATCH = 1;
 
 // #if (CUDNN_OPS_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_OPS_INFER_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_OPS_INFER_PATCH != CUDNN_PATCHLEVEL)
@@ -1559,7 +1559,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_OPS_TRAIN_MAJOR = 8;
 public static final int CUDNN_OPS_TRAIN_MINOR = 1;
-public static final int CUDNN_OPS_TRAIN_PATCH = 0;
+public static final int CUDNN_OPS_TRAIN_PATCH = 1;
 
 // #if (CUDNN_OPS_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_OPS_TRAIN_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_OPS_TRAIN_PATCH != CUDNN_PATCHLEVEL)
@@ -1990,7 +1990,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_ADV_INFER_MAJOR = 8;
 public static final int CUDNN_ADV_INFER_MINOR = 1;
-public static final int CUDNN_ADV_INFER_PATCH = 0;
+public static final int CUDNN_ADV_INFER_PATCH = 1;
 
 // #if (CUDNN_ADV_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_INFER_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_ADV_INFER_PATCH != CUDNN_PATCHLEVEL)
@@ -3059,7 +3059,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_ADV_TRAIN_MAJOR = 8;
 public static final int CUDNN_ADV_TRAIN_MINOR = 1;
-public static final int CUDNN_ADV_TRAIN_PATCH = 0;
+public static final int CUDNN_ADV_TRAIN_PATCH = 1;
 
 // #if (CUDNN_ADV_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_TRAIN_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_ADV_TRAIN_PATCH != CUDNN_PATCHLEVEL)
@@ -4223,7 +4223,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_CNN_INFER_MAJOR = 8;
 public static final int CUDNN_CNN_INFER_MINOR = 1;
-public static final int CUDNN_CNN_INFER_PATCH = 0;
+public static final int CUDNN_CNN_INFER_PATCH = 1;
 
 // #if (CUDNN_CNN_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_CNN_INFER_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_CNN_INFER_PATCH != CUDNN_PATCHLEVEL)
@@ -4946,7 +4946,7 @@ public class cudnn extends org.bytedeco.cuda.presets.cudnn {
 /* These version numbers are autogenerated, do not edit manually. */
 public static final int CUDNN_CNN_TRAIN_MAJOR = 8;
 public static final int CUDNN_CNN_TRAIN_MINOR = 1;
-public static final int CUDNN_CNN_TRAIN_PATCH = 0;
+public static final int CUDNN_CNN_TRAIN_PATCH = 1;
 
 // #if (CUDNN_CNN_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_CNN_TRAIN_MINOR != CUDNN_MINOR) ||
 //     (CUDNN_CNN_TRAIN_PATCH != CUDNN_PATCHLEVEL)

mxnet/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * MXNet 1.7.0  http://mxnet.incubator.apache.org/
+ * MXNet 1.8.0  http://mxnet.incubator.apache.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -55,14 +55,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mxnet-platform</artifactId>
-            <version>1.7.0-1.5.4</version>
+            <version>1.8.0-1.5.4</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mxnet-platform-gpu</artifactId>
-            <version>1.7.0-1.5.4</version>
+            <version>1.8.0-1.5.4</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

mxnet/cppbuild.sh

@@ -29,7 +29,7 @@ if [[ "$EXTENSION" == *gpu ]]; then
     export ACTUAL_GCC_HOST_COMPILER_PATH=$(which -a gcc | grep -v /ccache/ | head -1) # skip ccache
 fi
 
-MXNET_VERSION=1.7.0
+MXNET_VERSION=1.8.0
 download https://downloads.apache.org/incubator/mxnet/$MXNET_VERSION/apache-mxnet-src-$MXNET_VERSION-incubating.tar.gz apache-mxnet-src-$MXNET_VERSION-incubating.tar.gz
 #download https://github.com/apache/incubator-mxnet/releases/download/$MXNET_VERSION/apache-mxnet-src-$MXNET_VERSION-incubating.tar.gz apache-mxnet-src-$MXNET_VERSION-incubating.tar.gz
 
@@ -98,6 +98,7 @@ case $PLATFORM in
         export CC="$(which gcc) -m32"
         export CXX="$(which g++) -m32"
         export BLAS="openblas"
+        export USE_INTGEMM=0
         export USE_MKLDNN=0
         ;;
     linux-x86_64)

mxnet/platform/gpu/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>mxnet-platform-gpu</artifactId>
-  <version>1.7.0-${project.parent.version}</version>
+  <version>1.8.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform GPU for MXNet</name>
 
   <properties>

mxnet/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>mxnet-platform</artifactId>
-  <version>1.7.0-${project.parent.version}</version>
+  <version>1.8.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for MXNet</name>
 
   <properties>

mxnet/pom.xml

@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>mxnet</artifactId>
-  <version>1.7.0-${project.parent.version}</version>
+  <version>1.8.0-${project.parent.version}</version>
   <name>JavaCPP Presets for MXNet</name>
 
   <properties>

mxnet/samples/pom.xml

@@ -10,14 +10,14 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mxnet-platform</artifactId>
-            <version>1.7.0-1.5.4</version>
+            <version>1.8.0-1.5.4</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>mxnet-platform-gpu</artifactId>
-            <version>1.7.0-1.5.4</version>
+            <version>1.8.0-1.5.4</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

mxnet/src/gen/java/org/bytedeco/mxnet/AtomicSymbolCreator.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/AtomicSymbolHandle.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CachedOpHandle.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CachedOpMonitorCallback.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/ContextHandle.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CudaKernelHandle.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CudaModuleHandle.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomFunctionBwdFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomFunctionDelFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpBackwardInferStorageTypeFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpBwdDepFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpCreateFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpDelFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpFBFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpInferShapeFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpInferStorageTypeFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpInferTypeFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpListFunc.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;
 

mxnet/src/gen/java/org/bytedeco/mxnet/CustomOpPropCreator.java

@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.4: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.5-SNAPSHOT: DO NOT EDIT THIS FILE
 
 package org.bytedeco.mxnet;