* Upgrade presets for ONNX Runtime 1.27.1 (pull bytedeco#1789)

Author: blueberry

CHANGELOG.md

@@ -9,7 +9,7 @@
  * Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
  * Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
  * Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
- * Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.2, OpenBLAS 0.3.33, CUDA 13.3.1, cuDNN 9.24.0.43, NCCL 2.30.7, nvCOMP 5.2.0.10, NVIDIA Video Codec SDK 13.1.15, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.13.0, TensorFlow Lite 2.21.0, TensorRT 11.1.0.106, Triton Inference Server 2.70.0, ONNX 1.22.0, ONNX Runtime 1.27.0 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
+ * Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.2, OpenBLAS 0.3.33, CUDA 13.3.1, cuDNN 9.24.0.43, NCCL 2.30.7, nvCOMP 5.2.0.10, NVIDIA Video Codec SDK 13.1.15, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.13.0, TensorFlow Lite 2.21.0, TensorRT 11.1.0.106, Triton Inference Server 2.70.0, ONNX 1.22.0, ONNX Runtime 1.27.1 ([pull #1789](https://github.com/bytedeco/javacpp-presets/pull/1789)), and their dependencies
  * Compile classes with `parameters` bumping minimum requirements to Java SE 8 and Android 7.0 ([issue #1739](https://github.com/bytedeco/javacpp-presets/issues/1739))
 
 ### February 22, 2026 version 1.5.13

onnxruntime/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * ONNX Runtime 1.27.0  https://microsoft.github.io/onnxruntime/
+ * ONNX Runtime 1.27.1  https://microsoft.github.io/onnxruntime/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -46,14 +46,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>onnxruntime-platform</artifactId>
-            <version>1.27.0-1.5.14-SNAPSHOT</version>
+            <version>1.27.1-1.5.14-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA and cuDNN -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>onnxruntime-platform-gpu</artifactId>
-            <version>1.27.0-1.5.14-SNAPSHOT</version>
+            <version>1.27.1-1.5.14-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA and cuDNN -->

onnxruntime/cppbuild.sh

@@ -28,7 +28,7 @@ if [[ "$EXTENSION" == *gpu ]]; then
     GPU_FLAGS="--use_cuda --nvcc_threads 1"
 fi
 
-ONNXRUNTIME=1.27.0
+ONNXRUNTIME=1.27.1
 
 mkdir -p "$PLATFORM$EXTENSION"
 cd "$PLATFORM$EXTENSION"

onnxruntime/platform/gpu/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>onnxruntime-platform-gpu</artifactId>
-  <version>1.27.0-${project.parent.version}</version>
+  <version>1.27.1-${project.parent.version}</version>
   <name>JavaCPP Presets Platform GPU for ONNX Runtime</name>
 
   <properties>

onnxruntime/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>onnxruntime-platform</artifactId>
-  <version>1.27.0-${project.parent.version}</version>
+  <version>1.27.1-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for ONNX Runtime</name>
 
   <properties>

onnxruntime/pom.xml

@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>onnxruntime</artifactId>
-  <version>1.27.0-${project.parent.version}</version>
+  <version>1.27.1-${project.parent.version}</version>
   <name>JavaCPP Presets for ONNX Runtime</name>
 
   <properties>

onnxruntime/samples/pom.xml

@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>onnxruntime-platform</artifactId>
-            <version>1.27.0-1.5.14-SNAPSHOT</version>
+            <version>1.27.1-1.5.14-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <profiles>
@@ -23,7 +23,7 @@
                 <dependency>
                     <groupId>org.bytedeco</groupId>
                     <artifactId>onnxruntime-platform-gpu</artifactId>
-                    <version>1.27.0-1.5.14-SNAPSHOT</version>
+                    <version>1.27.1-1.5.14-SNAPSHOT</version>
                 </dependency>
 
                 <!-- Additional dependencies to use bundled CUDA and cuDNN -->

platform/pom.xml

@@ -348,7 +348,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>onnxruntime-platform</artifactId>
-      <version>1.27.0-${project.version}</version>
+      <version>1.27.1-${project.version}</version>
     </dependency>
 <!--    <dependency>-->
 <!--      <groupId>org.bytedeco</groupId>-->