From 25d3c8b655e883b02e688696614214ff031bb766 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Herv=C3=A9=20Guillemet?= <hg@apteryx.fr>
Date: Fri, 15 Dec 2023 11:55:28 +0100
Subject: [PATCH] Update PyTorch to 2.1.2

---
 pytorch/README.md                                           | 6 +++---
 pytorch/cppbuild.sh                                         | 2 +-
 pytorch/platform/gpu/pom.xml                                | 2 +-
 pytorch/platform/pom.xml                                    | 2 +-
 pytorch/pom.xml                                             | 2 +-
 pytorch/samples/pom.xml                                     | 4 ++--
 pytorch/src/gen/java/org/bytedeco/pytorch/global/torch.java | 4 ++--
 7 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/pytorch/README.md b/pytorch/README.md
index ef7af9f14e2..dae14de1aed 100644
--- a/pytorch/README.md
+++ b/pytorch/README.md
@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * PyTorch 2.1.1  https://pytorch.org/
+ * PyTorch 2.1.2  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>2.1.1-1.5.10-SNAPSHOT</version>
+            <version>2.1.2-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.1.1-1.5.10-SNAPSHOT</version>
+            <version>2.1.2-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
diff --git a/pytorch/cppbuild.sh b/pytorch/cppbuild.sh
index 4ef4ef3cde4..acf51c1b65b 100755
--- a/pytorch/cppbuild.sh
+++ b/pytorch/cppbuild.sh
@@ -35,7 +35,7 @@ if [[ $PLATFORM == windows* ]]; then
     export PYTHON_BIN_PATH=$(which python.exe)
 fi
 
-PYTORCH_VERSION=2.1.1
+PYTORCH_VERSION=2.1.2
 
 export PYTORCH_BUILD_VERSION="$PYTORCH_VERSION"
 export PYTORCH_BUILD_NUMBER=1
diff --git a/pytorch/platform/gpu/pom.xml b/pytorch/platform/gpu/pom.xml
index c3cf9d9b37e..ddbc71f460e 100644
--- 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>2.1.1-${project.parent.version}</version>
+  <version>2.1.2-${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
index 24b185fc4dc..f16b282f403 100644
--- a/pytorch/platform/pom.xml
+++ b/pytorch/platform/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch-platform</artifactId>
-  <version>2.1.1-${project.parent.version}</version>
+  <version>2.1.2-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for PyTorch</name>
 
   <properties>
diff --git a/pytorch/pom.xml b/pytorch/pom.xml
index 1f31a727def..74fc1813363 100644
--- a/pytorch/pom.xml
+++ b/pytorch/pom.xml
@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch</artifactId>
-  <version>2.1.1-${project.parent.version}</version>
+  <version>2.1.2-${project.parent.version}</version>
   <name>JavaCPP Presets for PyTorch</name>
 
   <dependencies>
diff --git a/pytorch/samples/pom.xml b/pytorch/samples/pom.xml
index cc995393235..89ca1a20dd1 100644
--- a/pytorch/samples/pom.xml
+++ b/pytorch/samples/pom.xml
@@ -12,14 +12,14 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform</artifactId>
-            <version>2.1.1-1.5.10-SNAPSHOT</version>
+            <version>2.1.2-1.5.10-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.1.1-1.5.10-SNAPSHOT</version>
+            <version>2.1.2-1.5.10-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
index 69a10faaac4..296eb21d819 100644
--- 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 = 1;
+public static final int TORCH_VERSION_PATCH = 2;
 
 /** Indicates the version of LibTorch. */
 public static final String TORCH_VERSION = 
-  "2.1.1";
+  "2.1.2";
 
 
 // Parsed from torch/csrc/autograd/InferenceMode.h