Add StringViewAdapter to map c10::string_view in presets for PyTo…

…rch (pull #1392)
bytedeco · Sep 14, 2023 · 61a9b3b · 61a9b3b
1 parent 8ea9101
commit 61a9b3b
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diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveAvgPool1dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool1dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool1dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPool1dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImplBase.java
@@ -26,6 +26,9 @@ public class AdaptiveAvgPool1dImplBase extends AdaptiveAvgPool1dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool1dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool1dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPoolImpl<1,torch::ExpandingArray<1>,torch::nn::AdaptiveAvgPool1dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveAvgPool1dImplBase(@ByVal @Cast("torch::ExpandingArray<1>*") LongPointer output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArray<1>*") LongPointer output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool1dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveAvgPool1dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool1dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool1dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveAvgPool1dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveAvgPool1dImpl>>") Module asModule(@SharedPtr AdaptiveAvgPool1dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveAvgPool2dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool2dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool2dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPool2dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImplBase.java
@@ -22,6 +22,9 @@ public class AdaptiveAvgPool2dImplBase extends AdaptiveAvgPool2dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool2dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool2dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPoolImpl<2,torch::ExpandingArrayWithOptionalElem<2>,torch::nn::AdaptiveAvgPool2dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveAvgPool2dImplBase(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<2>*") LongOptional output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<2>*") LongOptional output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool2dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveAvgPool2dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool2dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool2dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveAvgPool2dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveAvgPool2dImpl>>") Module asModule(@SharedPtr AdaptiveAvgPool2dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveAvgPool3dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool3dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool3dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPool3dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImplBase.java
@@ -22,6 +22,9 @@ public class AdaptiveAvgPool3dImplBase extends AdaptiveAvgPool3dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool3dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool3dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveAvgPoolImpl<3,torch::ExpandingArrayWithOptionalElem<3>,torch::nn::AdaptiveAvgPool3dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveAvgPool3dImplBase(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<3>*") LongOptional output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<3>*") LongOptional output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveAvgPool3dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveAvgPool3dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveAvgPool3dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveAvgPool3dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveAvgPool3dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveAvgPool3dImpl>>") Module asModule(@SharedPtr AdaptiveAvgPool3dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveLogSoftmaxWithLossImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveLogSoftmaxWithLossImpl.java
@@ -41,19 +41,22 @@ public class AdaptiveLogSoftmaxWithLossImpl extends AdaptiveLogSoftmaxWithLossIm
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveLogSoftmaxWithLossImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveLogSoftmaxWithLossImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveLogSoftmaxWithLossImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveLogSoftmaxWithLossImpl(
         @Cast("int64_t") long in_features,
         @Cast("int64_t") long n_classes,
         @ByVal @Cast("std::vector<int64_t>*") LongVector cutoffs) { super((Pointer)null); allocate(in_features, n_classes, cutoffs); }
-  @SharedPtr private native void allocate(
+  @SharedPtr @Name("std::make_shared<torch::nn::AdaptiveLogSoftmaxWithLossImpl>") private native void allocate(
         @Cast("int64_t") long in_features,
         @Cast("int64_t") long n_classes,
         @ByVal @Cast("std::vector<int64_t>*") LongVector cutoffs);
 
   public AdaptiveLogSoftmaxWithLossImpl(
         @ByVal AdaptiveLogSoftmaxWithLossOptions options_) { super((Pointer)null); allocate(options_); }
-  @SharedPtr private native void allocate(
+  @SharedPtr @Name("std::make_shared<torch::nn::AdaptiveLogSoftmaxWithLossImpl>") private native void allocate(
         @ByVal AdaptiveLogSoftmaxWithLossOptions options_);
 
   public native @ByVal ASMoutput forward(@Const @ByRef Tensor input, @Const @ByRef Tensor target);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveLogSoftmaxWithLossImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveLogSoftmaxWithLossImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveLogSoftmaxWithLossImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveLogSoftmaxWithLossImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveLogSoftmaxWithLossImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveLogSoftmaxWithLossImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveLogSoftmaxWithLossImpl>>") Module asModule(@SharedPtr AdaptiveLogSoftmaxWithLossImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveMaxPool1dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool1dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool1dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPool1dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImplBase.java
@@ -26,6 +26,9 @@ public class AdaptiveMaxPool1dImplBase extends AdaptiveMaxPool1dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool1dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool1dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPoolImpl<1,torch::ExpandingArray<1>,torch::nn::AdaptiveMaxPool1dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveMaxPool1dImplBase(@ByVal @Cast("torch::ExpandingArray<1>*") LongPointer output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArray<1>*") LongPointer output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool1dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveMaxPool1dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool1dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool1dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveMaxPool1dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveMaxPool1dImpl>>") Module asModule(@SharedPtr AdaptiveMaxPool1dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveMaxPool2dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool2dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool2dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPool2dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImplBase.java
@@ -22,6 +22,9 @@ public class AdaptiveMaxPool2dImplBase extends AdaptiveMaxPool2dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool2dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool2dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPoolImpl<2,torch::ExpandingArrayWithOptionalElem<2>,torch::nn::AdaptiveMaxPool2dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveMaxPool2dImplBase(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<2>*") LongOptional output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<2>*") LongOptional output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool2dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveMaxPool2dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool2dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool2dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveMaxPool2dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveMaxPool2dImpl>>") Module asModule(@SharedPtr AdaptiveMaxPool2dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImpl.java
@@ -44,6 +44,9 @@ private native void allocate(
           @Const @ByRef AdaptiveMaxPool3dOptions options_);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool3dImpl(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool3dImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPool3dImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImplBase.java
@@ -22,6 +22,9 @@ public class AdaptiveMaxPool3dImplBase extends AdaptiveMaxPool3dImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool3dImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool3dImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AdaptiveMaxPoolImpl<3,torch::ExpandingArrayWithOptionalElem<3>,torch::nn::AdaptiveMaxPool3dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AdaptiveMaxPool3dImplBase(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<3>*") LongOptional output_size) { super((Pointer)null); allocate(output_size); }
   private native void allocate(@ByVal @Cast("torch::ExpandingArrayWithOptionalElem<3>*") LongOptional output_size);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AdaptiveMaxPool3dImplCloneable.java
@@ -22,6 +22,9 @@ public class AdaptiveMaxPool3dImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AdaptiveMaxPool3dImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AdaptiveMaxPool3dImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AdaptiveMaxPool3dImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AdaptiveMaxPool3dImpl>>") Module asModule(@SharedPtr AdaptiveMaxPool3dImplCloneable pointer);
 

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImpl.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImpl.java
@@ -45,15 +45,9 @@ public class AlphaDropoutImpl extends AlphaDropoutImplBase {
     private native void allocate();
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AlphaDropoutImpl(Pointer p) { super(p); }
-    /** Native array allocator. Access with {@link Pointer#position(long)}. */
-    public AlphaDropoutImpl(long size) { super((Pointer)null); allocateArray(size); }
-    private native void allocateArray(long size);
-    @Override public AlphaDropoutImpl position(long position) {
-        return (AlphaDropoutImpl)super.position(position);
-    }
-    @Override public AlphaDropoutImpl getPointer(long i) {
-        return new AlphaDropoutImpl((Pointer)this).offsetAddress(i);
-    }
+    /** Downcast constructor. */
+    public AlphaDropoutImpl(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::AlphaDropoutImpl, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
 
   public native @ByVal Tensor forward(@Const @ByRef Tensor input);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImplBase.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImplBase.java
@@ -23,6 +23,9 @@ public class AlphaDropoutImplBase extends AlphaDropoutImplCloneable {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AlphaDropoutImplBase(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AlphaDropoutImplBase(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::detail::_DropoutNd<torch::nn::AlphaDropoutImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
 
   public AlphaDropoutImplBase(double p) { super((Pointer)null); allocate(p); }
   private native void allocate(double p);

diff --git a/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImplCloneable.java b/pytorch/src/gen/java/org/bytedeco/pytorch/AlphaDropoutImplCloneable.java
@@ -22,6 +22,9 @@ public class AlphaDropoutImplCloneable extends Module {
     static { Loader.load(); }
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
     public AlphaDropoutImplCloneable(Pointer p) { super(p); }
+    /** Downcast constructor. */
+    public AlphaDropoutImplCloneable(Module pointer) { super((Pointer)null); allocate(pointer); }
+    @Namespace private native @SharedPtr @Name("SHARED_PTR_NAMESPACE::dynamic_pointer_cast<torch::nn::Cloneable<torch::nn::AlphaDropoutImpl>, torch::nn::Module>") void allocate(@SharedPtr Module pointer);
     @Override public Module asModule() { return asModule(this); }
     @Namespace public static native @SharedPtr @Name("SHARED_PTR_NAMESPACE::static_pointer_cast<torch::nn::Module, torch::nn::Cloneable<torch::nn::AlphaDropoutImpl>>") Module asModule(@SharedPtr AlphaDropoutImplCloneable pointer);