* Upgrade presets for PyTorch 2.5.0

CHANGELOG.md

@@ -9,7 +9,7 @@
  * Build FFmpeg with zimg to enable zscale filter ([pull #1481](https://github.com/bytedeco/javacpp-presets/pull/1481))
  * Enable PulseAudio support for FFmpeg on Linux ([pull #1472](https://github.com/bytedeco/javacpp-presets/pull/1472))
  * Virtualize `btCollisionWorld`, `btOverlapFilterCallback`, `btOverlapCallback` from Bullet Physics SDK ([pull #1475](https://github.com/bytedeco/javacpp-presets/pull/1475))
- * Upgrade presets for OpenCV 4.10.0, FFmpeg 7.1, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), DNNL 3.5.3, OpenBLAS 0.3.28, CMINPACK 1.3.9, GSL 2.8, CPython 3.13.0, NumPy 2.1.2, SciPy 1.14.1, LLVM 19.1.2, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Tesseract 5.4.1, libffi 3.4.6, CUDA 12.6.0, cuDNN 9.3.0, NCCL 2.22.3, nvCOMP 4.0.0, OpenCL 3.0.16, NVIDIA Video Codec SDK 12.2.72, PyTorch 2.4.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.17.0, TensorRT 10.3.0.26, Triton Inference Server 2.48.0, ONNX 1.17.0, ONNX Runtime 1.19.2, TVM 0.17.0, and their dependencies
+ * Upgrade presets for OpenCV 4.10.0, FFmpeg 7.1, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), DNNL 3.5.3, OpenBLAS 0.3.28, CMINPACK 1.3.9, GSL 2.8, CPython 3.13.0, NumPy 2.1.2, SciPy 1.14.1, LLVM 19.1.2, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Tesseract 5.4.1, libffi 3.4.6, CUDA 12.6.0, cuDNN 9.3.0, NCCL 2.22.3, nvCOMP 4.0.0, OpenCL 3.0.16, NVIDIA Video Codec SDK 12.2.72, PyTorch 2.5.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.17.0, TensorRT 10.3.0.26, Triton Inference Server 2.48.0, ONNX 1.17.0, ONNX Runtime 1.19.2, TVM 0.17.0, and their dependencies
 
 ### January 29, 2024 version 1.5.10
  * Introduce `macosx-arm64` builds for PyTorch ([pull #1463](https://github.com/bytedeco/javacpp-presets/pull/1463))

README.md

@@ -223,7 +223,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * NVIDIA Video Codec SDK 12.2.x  https://developer.nvidia.com/nvidia-video-codec-sdk
  * OpenCL 3.0.x  https://github.com/KhronosGroup/OpenCL-ICD-Loader
  * MXNet 1.9.x  https://github.com/apache/incubator-mxnet
- * PyTorch 2.4.x  https://github.com/pytorch/pytorch
+ * PyTorch 2.5.x  https://github.com/pytorch/pytorch
  * SentencePiece 0.2.0  https://github.com/google/sentencepiece
  * TensorFlow 1.15.x  https://github.com/tensorflow/tensorflow
  * TensorFlow Lite 2.17.x  https://github.com/tensorflow/tensorflow

platform/pom.xml

@@ -292,7 +292,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>pytorch-platform</artifactId>
-      <version>2.4.0-${project.version}</version>
+      <version>2.5.0-${project.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>

pytorch/README.md

@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * PyTorch 2.4.0  https://pytorch.org/
+ * PyTorch 2.5.0  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>2.4.0-1.5.11-SNAPSHOT</version>
+            <version>2.5.0-1.5.11-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.4.0-1.5.11-SNAPSHOT</version>
+            <version>2.5.0-1.5.11-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

pytorch/cppbuild.sh

@@ -38,7 +38,7 @@ if [[ $PLATFORM == windows* ]]; then
     export PYTHON_BIN_PATH=$(which python.exe)
 fi
 
-PYTORCH_VERSION=2.4.1
+PYTORCH_VERSION=2.5.0
 
 export PYTORCH_BUILD_VERSION="$PYTORCH_VERSION"
 export PYTORCH_BUILD_NUMBER=1
@@ -129,7 +129,7 @@ mkdir -p "$PYTHON_INSTALL_PATH"
 
 export CFLAGS="-I$CPYTHON_PATH/include/ -I$PYTHON_LIB_PATH/include/python/ -L$CPYTHON_PATH/lib/ -L$CPYTHON_PATH/libs/"
 export PYTHONNOUSERSITE=1
-$PYTHON_BIN_PATH -m pip install --target=$PYTHON_LIB_PATH setuptools==67.6.1 pyyaml==6.0.1 typing_extensions==4.8.0
+$PYTHON_BIN_PATH -m pip install --target=$PYTHON_LIB_PATH setuptools==67.6.1 pyyaml==6.0.2 typing_extensions==4.8.0
 
 case $PLATFORM in
     linux-x86)
@@ -184,6 +184,7 @@ sedinplace 's/    build_deps()/    build_deps(); sys.exit()/g' setup.py
 sedinplace 's/AND NOT DEFINED ENV{CUDAHOSTCXX}//g' cmake/public/cuda.cmake
 sedinplace 's/CMAKE_CUDA_FLAGS "/CMAKE_CUDA_FLAGS " --use-local-env /g' CMakeLists.txt
 
+sedinplace '/pycore_opcode.h/d' torch/csrc/dynamo/cpython_defs.c functorch/csrc/dim/dim*
 sedinplace 's/using ExpandingArrayDouble/public: using ExpandingArrayDouble/g' ./torch/csrc/api/include/torch/nn/options/pooling.h
 
 # allow setting the build directory and passing CUDA options
@@ -192,6 +193,7 @@ sedinplace 's/var.startswith(("BUILD_", "USE_", "CMAKE_"))/var.startswith(("BUIL
 
 # allow resizing std::vector<at::indexing::TensorIndex>
 sedinplace 's/TensorIndex(c10::nullopt_t)/TensorIndex(c10::nullopt_t none = None)/g' aten/src/ATen/TensorIndexing.h
+sedinplace 's/TensorIndex(std::nullopt_t)/TensorIndex(std::nullopt_t none = None)/g' aten/src/ATen/TensorIndexing.h
 
 # add missing declarations
 sedinplace '/using ExampleType = ExampleType_;/a\

pytorch/platform/gpu/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch-platform-gpu</artifactId>
-  <version>2.4.0-${project.parent.version}</version>
+  <version>2.5.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform GPU for PyTorch</name>
 
   <properties>

pytorch/platform/pom.xml

@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch-platform</artifactId>
-  <version>2.4.0-${project.parent.version}</version>
+  <version>2.5.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for PyTorch</name>
 
   <properties>

pytorch/pom.xml

@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>pytorch</artifactId>
-  <version>2.4.0-${project.parent.version}</version>
+  <version>2.5.0-${project.parent.version}</version>
   <name>JavaCPP Presets for PyTorch</name>
 
   <dependencies>

pytorch/samples/pom.xml

@@ -12,14 +12,14 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform</artifactId>
-            <version>2.4.0-1.5.11-SNAPSHOT</version>
+            <version>2.5.0-1.5.11-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>pytorch-platform-gpu</artifactId>
-            <version>2.4.0-1.5.11-SNAPSHOT</version>
+            <version>2.5.0-1.5.11-SNAPSHOT</version>
         </dependency>
 
         <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

pytorch/src/gen/java/org/bytedeco/pytorch/AcceleratorHooksInterface.java

@@ -45,4 +45,8 @@ public class AcceleratorHooksInterface extends Pointer {
   public native @Cast("c10::DeviceIndex") byte exchangeDevice(@Cast("c10::DeviceIndex") byte device);
 
   public native @Cast("c10::DeviceIndex") byte maybeExchangeDevice(@Cast("c10::DeviceIndex") byte device);
+
+  public native @Cast("bool") boolean isPinnedPtr(@Const Pointer data);
+
+  public native Allocator getPinnedMemoryAllocator();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveAvgPool1dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveAvgPool2dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveAvgPool3dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveLogSoftmaxWithLossImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveLogSoftmaxWithLossImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveMaxPool1dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveMaxPool2dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImplCloneable.java

@@ -33,6 +33,6 @@ public class AdaptiveMaxPool3dImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImplCloneable.java

@@ -33,6 +33,6 @@ public class AlphaDropoutImplCloneable extends Module {
    *  and submodules in the cloned module are different from those in the
    *  original module. */
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
-        @Const @ByRef(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+        @Const @ByRef(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
 }

pytorch/src/gen/java/org/bytedeco/pytorch/AnyModule.java

@@ -391,7 +391,7 @@ public class AnyModule extends Pointer {
 
   /** Creates a deep copy of an {@code AnyModule} if it contains a module, else an
    *  empty {@code AnyModule} if it is empty. */
-  public native @ByVal AnyModule clone(@ByVal(nullValue = "std::optional<torch::Device>(c10::nullopt)") DeviceOptional device);
+  public native @ByVal AnyModule clone(@ByVal(nullValue = "std::optional<torch::Device>(std::nullopt)") DeviceOptional device);
   public native @ByVal AnyModule clone();
 
   /** Assigns a module to the {@code AnyModule} (to circumvent the explicit

pytorch/src/gen/java/org/bytedeco/pytorch/Argument.java

@@ -37,50 +37,50 @@ public class Argument extends Pointer {
   public Argument(
         @StdString BytePointer name/*=""*/,
         @Const @ByRef(nullValue = "c10::TypePtr(nullptr)") Type.TypePtr type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, type, N, default_value, kwarg_only, alias_info); }
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, type, N, default_value, kwarg_only, alias_info); }
   private native void allocate(
         @StdString BytePointer name/*=""*/,
         @Const @ByRef(nullValue = "c10::TypePtr(nullptr)") Type.TypePtr type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info);
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info);
   public Argument() { super((Pointer)null); allocate(); }
   private native void allocate();
   public Argument(
         @StdString String name/*=""*/,
         @Const @ByRef(nullValue = "c10::TypePtr(nullptr)") Type.TypePtr type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, type, N, default_value, kwarg_only, alias_info); }
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, type, N, default_value, kwarg_only, alias_info); }
   private native void allocate(
         @StdString String name/*=""*/,
         @Const @ByRef(nullValue = "c10::TypePtr(nullptr)") Type.TypePtr type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info);
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info);
 
   public Argument(
         @StdString BytePointer name,
         @ByVal Type.TypePtr fake_type,
         @ByVal Type.TypePtr real_type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, fake_type, real_type, N, default_value, kwarg_only, alias_info); }
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, fake_type, real_type, N, default_value, kwarg_only, alias_info); }
   private native void allocate(
         @StdString BytePointer name,
         @ByVal Type.TypePtr fake_type,
         @ByVal Type.TypePtr real_type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info);
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info);
   public Argument(
         @StdString BytePointer name,
         @ByVal Type.TypePtr fake_type,
@@ -93,18 +93,18 @@ public Argument(
         @StdString String name,
         @ByVal Type.TypePtr fake_type,
         @ByVal Type.TypePtr real_type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, fake_type, real_type, N, default_value, kwarg_only, alias_info); }
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info) { super((Pointer)null); allocate(name, fake_type, real_type, N, default_value, kwarg_only, alias_info); }
   private native void allocate(
         @StdString String name,
         @ByVal Type.TypePtr fake_type,
         @ByVal Type.TypePtr real_type,
-        @ByVal(nullValue = "std::optional<int32_t>(c10::nullopt)") IntOptional N,
-        @ByVal(nullValue = "std::optional<c10::IValue>(c10::nullopt)") IValueOptional default_value,
+        @ByVal(nullValue = "std::optional<int32_t>(std::nullopt)") IntOptional N,
+        @ByVal(nullValue = "std::optional<c10::IValue>(std::nullopt)") IValueOptional default_value,
         @Cast("bool") boolean kwarg_only/*=false*/,
-        @ByVal(nullValue = "std::optional<c10::AliasInfo>(c10::nullopt)") AliasInfoOptional alias_info);
+        @ByVal(nullValue = "std::optional<c10::AliasInfo>(std::nullopt)") AliasInfoOptional alias_info);
   public Argument(
         @StdString String name,
         @ByVal Type.TypePtr fake_type,