org.bytedeco.pytorch.ReplicationPad2dImpl Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.bytedeco.pytorch;
import org.bytedeco.pytorch.Allocator;
import org.bytedeco.pytorch.Function;
import org.bytedeco.pytorch.Module;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import static org.bytedeco.pytorch.global.torch.*;
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ReplicationPad2d ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/** Applies ReplicationPad over a 2-D input.
* See https://pytorch.org/docs/master/nn.html#torch.nn.ReplicationPad2d to learn
* about the exact behavior of this module.
*
* See the documentation for {@code torch::nn::ReplicationPad2dOptions} class to learn what
* constructor arguments are supported for this module.
*
* Example:
* {@code
* ReplicationPad2d model(ReplicationPad2dOptions({1, 1, 2, 0}));
* } */
// NOLINTNEXTLINE(bugprone-exception-escape)
@Namespace("torch::nn") @Properties(inherit = org.bytedeco.pytorch.presets.torch.class)
public class ReplicationPad2dImpl extends ReplicationPad2dImplBase {
static { Loader.load(); }
public ReplicationPad2dImpl(@ByVal @Cast("torch::ExpandingArray<2*2>*") LongPointer padding) { super((Pointer)null); allocate(padding); }
@NoDeallocator private native void allocate(@ByVal @Cast("torch::ExpandingArray<2*2>*") LongPointer padding);
public ReplicationPad2dImpl(@Const @ByRef ReplicationPad2dOptions options_) { super((Pointer)null); allocate(options_); }
@NoDeallocator private native void allocate(@Const @ByRef ReplicationPad2dOptions options_);
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ReplicationPad2dImpl(Pointer p) { super(p); }
}
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