* Map c10::ArrayRef<at::Tensor>(std::vector<at::Tensor>&) construc…

…tor from PyTorch for convenience (discussion #1128)

CHANGELOG.md

@@ -1,4 +1,5 @@
 
+ * Map `c10::ArrayRef<at::Tensor>(std::vector<at::Tensor>&)` constructor from PyTorch for convenience ([discussion #1128](https://github.com/bytedeco/javacpp-presets/discussions/1128))
  * Add `long rs2_get_frame_data_address()` to reduce garbage for real-time applications using librealsense2 ([discussion bytedeco/javacpp#532](https://github.com/bytedeco/javacpp/discussions/532))
  * Add to `torch.Tensor` convenient `create()`, `createBuffer()`, and `createIndexer()` factory methods for PyTorch
  * Upgrade requirements to Android 7.0 for camera support in OpenCV and FFmpeg ([issue bytedeco/javacv#1692](https://github.com/bytedeco/javacv/issues/1692))

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

@@ -60,6 +60,8 @@ public class TensorArrayRef extends Pointer {
   // The enable_if stuff here makes sure that this isn't used for
   // std::vector<bool>, because ArrayRef can't work on a std::vector<bool>
   // bitfield.
+  public TensorArrayRef(@ByRef TensorVector Vec) { super((Pointer)null); allocate(Vec); }
+  private native void allocate(@ByRef TensorVector Vec);
 
   /** Construct an ArrayRef from a std::array */
 

pytorch/src/main/java/org/bytedeco/pytorch/presets/torch.java

@@ -1,5 +1,5 @@
 /*
- * Copyright (C) 2020-2021 Samuel Audet, Eduardo Gonzalez
+ * Copyright (C) 2020-2022 Samuel Audet, Eduardo Gonzalez
  *
  * Licensed either under the Apache License, Version 2.0, or (at your option)
  * under the terms of the GNU General Public License as published by
@@ -743,7 +743,7 @@ public void map(InfoMap infoMap) {
                .put(new Info("std::vector<c10::TensorImpl*>").pointerTypes("TensorImplVector").define())
                .put(new Info("std::vector<torch::autograd::Edge>", "torch::autograd::edge_list")
                        .valueTypes("@Cast({\"\", \"std::vector<torch::autograd::Edge>\"}) @StdMove EdgeVector").pointerTypes("EdgeVector").define())
-               .put(new Info("std::vector<at::Tensor>", "std::vector<torch::autograd::Variable>", "torch::autograd::variable_list")
+               .put(new Info("std::vector<at::Tensor>", "std::vector<at::Tensor,A>", "std::vector<torch::autograd::Variable>", "torch::autograd::variable_list")
                        .valueTypes("@Cast({\"\", \"std::vector<at::Tensor>\"}) @StdMove TensorVector").pointerTypes("TensorVector").define())
                .put(new Info("std::vector<at::indexing::TensorIndex>", "std::vector<at::indexing::TensorIndex,A>").pointerTypes("TensorIndexVector").define())
                .put(new Info("std::vector<c10::optional<torch::autograd::Variable> >").pointerTypes("TensorOptionalVector").define())
@@ -957,6 +957,9 @@ public void map(InfoMap infoMap) {
                .put(new Info("c10::ArrayRef<at::Scalar>", "at::ArrayRef<at::Scalar>").pointerTypes("ScalarArrayRef"))
                .put(new Info("c10::ArrayRef<at::Scalar>::iterator", "c10::ArrayRef<at::Scalar>::const_iterator").cast().pointerTypes("Scalar"))
                .put(new Info("c10::ArrayRef<at::Tensor>", "at::ArrayRef<at::Tensor>", "at::TensorList").pointerTypes("TensorArrayRef"))
+               .put(new Info("c10::ArrayRef<at::Tensor>(std::vector<at::Tensor,A>&)").javaText(
+                       "public TensorArrayRef(@ByRef TensorVector Vec) { super((Pointer)null); allocate(Vec); }\n"
+                     + "private native void allocate(@ByRef TensorVector Vec);"))
                .put(new Info("c10::ArrayRef<at::Tensor>::iterator", "c10::ArrayRef<at::Tensor>::const_iterator").cast().pointerTypes("Tensor"))
                .put(new Info("c10::ArrayRef<at::TensorArg>", "at::ArrayRef<at::TensorArg>").pointerTypes("TensorArgArrayRef"))
                .put(new Info("c10::ArrayRef<at::TensorArg>::iterator", "c10::ArrayRef<at::TensorArg>::const_iterator").cast().pointerTypes("TensorArg"))