* Overload Tensor.create() factory methods for TensorFlow with han…

…dy `long... shape` (issue bytedeco/javacpp#301)

CHANGELOG.md

@@ -1,4 +1,5 @@
 
+ * Overload `Tensor.create()` factory methods for TensorFlow with handy `long... shape` ([issue bytedeco/javacpp#301](https://github.com/bytedeco/javacpp/issues/301))
  * Add build for `linux-arm64` to presets for OpenBLAS ([pull #726](https://github.com/bytedeco/javacpp-presets/pull/726))
  * Bundle complete binary packages of CPython itself for convenience ([issue #712](https://github.com/bytedeco/javacpp-presets/issues/712))
  * Fix and refine mapping for `HoughLines`, `HoughLinesP`, and `HoughCircles` ([issue #717](https://github.com/bytedeco/javacpp-presets/issues/717))

tensorflow/src/gen/java/org/bytedeco/tensorflow/CollectiveContext.java

@@ -34,13 +34,13 @@ private native void allocate(CollectiveExecutor col_exec, @Const DeviceMgr dev_m
                       @Cast("tensorflow::int64") long step_id, @Const Tensor input, Tensor output);
 
   public native CollectiveExecutor col_exec(); public native CollectiveContext col_exec(CollectiveExecutor setter);        // Not owned
-  @MemberGetter public native @Const DeviceMgr dev_mgr();            // Not owned
+  public native @Const DeviceMgr dev_mgr(); public native CollectiveContext dev_mgr(DeviceMgr setter);            // Not owned
   public native OpKernelContext op_ctx(); public native CollectiveContext op_ctx(OpKernelContext setter);             // Not owned
   public native OpKernelContext.Params op_params(); public native CollectiveContext op_params(OpKernelContext.Params setter);  // Not owned
   @MemberGetter public native @Const @ByRef CollectiveParams col_params();
   @MemberGetter public native @StdString BytePointer exec_key();
   @MemberGetter public native @Cast("const tensorflow::int64") long step_id();
-  @MemberGetter public native @Const Tensor input();  // Not owned
+  public native @Const Tensor input(); public native CollectiveContext input(Tensor setter);  // Not owned
   public native Tensor output(); public native CollectiveContext output(Tensor setter);       // Not owned
   public native Device device(); public native CollectiveContext device(Device setter);       // The device for which this instance labors
   @MemberGetter public native @StdString BytePointer device_name();

tensorflow/src/gen/java/org/bytedeco/tensorflow/FunctionLibraryRuntime.java

@@ -53,7 +53,7 @@ public static class InstantiateOptions extends Pointer {
     // between a set of libraries (e.g. by allowing a
     // `FunctionLibraryDefinition` to store an `outer_scope` pointer
     // and implementing name resolution across libraries).
-    @MemberGetter public native @Const FunctionLibraryDefinition overlay_lib();
+    public native @Const FunctionLibraryDefinition overlay_lib(); public native InstantiateOptions overlay_lib(FunctionLibraryDefinition setter);
 
     // This interface is EXPERIMENTAL and subject to change.
     //

tensorflow/src/gen/java/org/bytedeco/tensorflow/OpKernelContext.java

@@ -66,7 +66,7 @@ public static class Params extends Pointer {
     public native @Cast("bool") boolean record_tensor_accesses(); public native Params record_tensor_accesses(boolean setter);
 
     // Array indexed by output number for this node
-    @MemberGetter public native @Const AllocatorAttributes output_attr_array();
+    public native @Const AllocatorAttributes output_attr_array(); public native Params output_attr_array(AllocatorAttributes setter);
 
     // Shared resources accessible by this op kernel invocation.
     public native ResourceMgr resource_manager(); public native Params resource_manager(ResourceMgr setter);
@@ -94,13 +94,13 @@ public static class Params extends Pointer {
     public native CancellationManager cancellation_manager(); public native Params cancellation_manager(CancellationManager setter);
 
     // Inputs to this op kernel.
-    @MemberGetter public native @Const TensorValueVector inputs();
+    public native @Const TensorValueVector inputs(); public native Params inputs(TensorValueVector setter);
     public native @Cast("bool") boolean is_input_dead(); public native Params is_input_dead(boolean setter);
 
-    @MemberGetter public native @Const AllocatorAttributesVector input_alloc_attrs();
+    public native @Const AllocatorAttributesVector input_alloc_attrs(); public native Params input_alloc_attrs(AllocatorAttributesVector setter);
 
     // Device contexts.
-    @MemberGetter public native @Const DeviceContextInlinedVector input_device_contexts();
+    public native @Const DeviceContextInlinedVector input_device_contexts(); public native Params input_device_contexts(DeviceContextInlinedVector setter);
     public native DeviceContext op_device_context(); public native Params op_device_context(DeviceContext setter);
 
     // Control-flow op supports.
@@ -122,7 +122,7 @@ public static class Params extends Pointer {
     @MemberGetter public static native int kNoReservation();
     public static final int kNoReservation = kNoReservation();
     // Values in [0,...) represent reservations for the indexed output.
-    @MemberGetter public native @Const IntPointer forward_from_array();
+    public native @Const IntPointer forward_from_array(); public native Params forward_from_array(IntPointer setter);
   }
 
   // params must outlive the OpKernelContext.

tensorflow/src/gen/java/org/bytedeco/tensorflow/SessionState.java

@@ -41,5 +41,5 @@ public class SessionState extends Pointer {
 
   public native @Cast("tensorflow::int64") long GetNewId();
 
-  @MemberGetter public static native @Cast("const char*") BytePointer kTensorHandleResourceTypeName();
+  public static native @Cast("const char*") BytePointer kTensorHandleResourceTypeName(); public static native void kTensorHandleResourceTypeName(BytePointer setter);
 }

tensorflow/src/gen/java/org/bytedeco/tensorflow/TF_ImportGraphDefResults.java

@@ -27,7 +27,7 @@ public class TF_ImportGraphDefResults extends Pointer {
 
   public native @StdVector TF_Output return_tensors(); public native TF_ImportGraphDefResults return_tensors(TF_Output setter);
   public native @Cast("TF_Operation**") @StdVector PointerPointer return_nodes(); public native TF_ImportGraphDefResults return_nodes(PointerPointer setter);
-  @MemberGetter public native @Cast("const char**") @StdVector PointerPointer missing_unused_key_names();
+  public native @Cast("const char**") @StdVector PointerPointer missing_unused_key_names(); public native TF_ImportGraphDefResults missing_unused_key_names(PointerPointer setter);
   public native @StdVector IntPointer missing_unused_key_indexes(); public native TF_ImportGraphDefResults missing_unused_key_indexes(IntPointer setter);
 
   // Backing memory for missing_unused_key_names values.

tensorflow/src/gen/java/org/bytedeco/tensorflow/TF_WhileParams.java

@@ -34,5 +34,5 @@ public class TF_WhileParams extends Pointer {
 
   // Unique null-terminated name for this while loop. This is used as a prefix
   // for created operations.
-  @MemberGetter public native @Cast("const char*") BytePointer name();
+  public native @Cast("const char*") BytePointer name(); public native TF_WhileParams name(BytePointer setter);
 }

tensorflow/src/gen/java/org/bytedeco/tensorflow/TensorSliceSet.java

@@ -74,7 +74,7 @@ public static class SliceInfo extends Pointer {
 
     public native @ByRef TensorSlice slice(); public native SliceInfo slice(TensorSlice setter);
     public native @StdString BytePointer tag(); public native SliceInfo tag(BytePointer setter);
-    @MemberGetter public native @Const FloatPointer data();
+    public native @Const FloatPointer data(); public native SliceInfo data(FloatPointer setter);
     public native @Cast("tensorflow::int64") long num_floats(); public native SliceInfo num_floats(long setter);
   }
 

tensorflow/src/main/java/org/bytedeco/tensorflow/AbstractTensor.java

@@ -34,6 +34,14 @@ public abstract class AbstractTensor extends Pointer implements Indexable {
     static { Loader.load(); }
     public AbstractTensor(Pointer p) { super(p); }
 
+    public static Tensor create(float[]  data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(double[] data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(int[]    data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(short[]  data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(byte[]   data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(long[]   data, long... shape) { return create(data, new TensorShape(shape)); }
+    public static Tensor create(String[] data, long... shape) { return create(data, new TensorShape(shape)); }
+
     public static Tensor create(float[]  data, TensorShape shape) { Tensor t = new Tensor(DT_FLOAT,  shape); FloatBuffer  b = t.createBuffer(); b.put(data); return t; }
     public static Tensor create(double[] data, TensorShape shape) { Tensor t = new Tensor(DT_DOUBLE, shape); DoubleBuffer b = t.createBuffer(); b.put(data); return t; }
     public static Tensor create(int[]    data, TensorShape shape) { Tensor t = new Tensor(DT_INT32,  shape); IntBuffer    b = t.createBuffer(); b.put(data); return t; }