* Upgrade presets for PyTorch 2.1.1 (pull #1440)

bytedeco · Nov 26, 2023 · 2350ff4 · 2350ff4
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -3,7 +3,7 @@
  * Refactor and improve presets for PyTorch ([pull #1360](https://github.com/bytedeco/javacpp-presets/pull/1360))
  * 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 4.8.1, FFmpeg 6.1, HDF5 1.14.3, DNNL 3.3, OpenBLAS 0.3.24, ARPACK-NG 3.9.1, CPython 3.12.0, NumPy 1.26.1, SciPy 1.11.3, LLVM 17.0.4, Leptonica 1.83.1, Tesseract 5.3.3, CUDA 12.3.0, cuDNN 8.9.5, NCCL 2.18.5, PyTorch 2.1.0 ([pull #1426](https://github.com/bytedeco/javacpp-presets/pull/1426)), TensorFlow Lite 2.14.0, Triton Inference Server 2.38.0, ONNX 1.15.0, ONNX Runtime 1.16.2, TVM 0.14.0, and their dependencies
+ * Upgrade presets for OpenCV 4.8.1, FFmpeg 6.1, HDF5 1.14.3, DNNL 3.3, OpenBLAS 0.3.24, ARPACK-NG 3.9.1, CPython 3.12.0, NumPy 1.26.1, SciPy 1.11.3, LLVM 17.0.4, Leptonica 1.83.1, Tesseract 5.3.3, CUDA 12.3.0, cuDNN 8.9.5, NCCL 2.18.5, PyTorch 2.1.1 ([pull #1426](https://github.com/bytedeco/javacpp-presets/pull/1426)), TensorFlow Lite 2.14.0, Triton Inference Server 2.38.0, ONNX 1.15.0, ONNX Runtime 1.16.2, TVM 0.14.0, and their dependencies
 
 ### June 6, 2023 version 1.5.9
  * Virtualize `nvinfer1::IGpuAllocator` from TensorRT to allow customization ([pull #1367](https://github.com/bytedeco/javacpp-presets/pull/1367))

diff --git a/platform/pom.xml b/platform/pom.xml
@@ -292,7 +292,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>pytorch-platform</artifactId>
-      <version>2.1.0-${project.version}</version>
+      <version>2.1.1-${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * PyTorch 2.1.0  https://pytorch.org/
+ * PyTorch 2.1.1  https://pytorch.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -48,14 +48,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform</artifactId>
-            <version>2.1.0-1.5.10-SNAPSHOT</version>
+            <version>2.1.1-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.1.0-1.5.10-SNAPSHOT</version>
+            <version>2.1.1-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

diff --git a/pytorch/cppbuild.sh b/pytorch/cppbuild.sh
@@ -35,7 +35,10 @@ if [[ $PLATFORM == windows* ]]; then
     export PYTHON_BIN_PATH=$(which python.exe)
 fi
 
-PYTORCH_VERSION=2.1.0
+PYTORCH_VERSION=2.1.1
+
+export PYTORCH_BUILD_VERSION="$PYTORCH_VERSION"
+export PYTORCH_BUILD_NUMBER=1
 
 mkdir -p "$PLATFORM$EXTENSION"
 cd "$PLATFORM$EXTENSION"

diff --git a/pytorch/platform/gpu/pom.xml b/pytorch/platform/gpu/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch-platform-gpu</artifactId>
-  <version>2.1.0-${project.parent.version}</version>
+  <version>2.1.1-${project.parent.version}</version>
   <name>JavaCPP Presets Platform GPU for PyTorch</name>
 
   <properties>

diff --git a/pytorch/platform/pom.xml b/pytorch/platform/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch-platform</artifactId>
-  <version>2.1.0-${project.parent.version}</version>
+  <version>2.1.1-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for PyTorch</name>
 
   <properties>

diff --git a/pytorch/pom.xml b/pytorch/pom.xml
@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch</artifactId>
-  <version>2.1.0-${project.parent.version}</version>
+  <version>2.1.1-${project.parent.version}</version>
   <name>JavaCPP Presets for PyTorch</name>
 
   <dependencies>

diff --git a/pytorch/samples/pom.xml b/pytorch/samples/pom.xml
@@ -12,14 +12,14 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform</artifactId>
-            <version>2.1.0-1.5.10-SNAPSHOT</version>
+            <version>2.1.1-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.1.0-1.5.10-SNAPSHOT</version>
+            <version>2.1.1-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/global/torch.java b/pytorch/src/gen/java/org/bytedeco/pytorch/global/torch.java
@@ -76579,11 +76579,11 @@ scalar_t sf(scalar_t x, scalar_t y)
 public static final int TORCH_VERSION_MINOR = 1;
 
 /** Indicates the patch version of LibTorch. */
-public static final int TORCH_VERSION_PATCH = 0;
+public static final int TORCH_VERSION_PATCH = 1;
 
 /** Indicates the version of LibTorch. */
 public static final String TORCH_VERSION = 
-  "2.1.0";
+  "2.1.1";
 
 
 // Parsed from torch/csrc/autograd/InferenceMode.h