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• PadFuncOptions.java

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org.bytedeco.pytorch.PadFuncOptions Maven / Gradle / Ivy

// Targeted by JavaCPP version 1.5.8: 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.*;


/** Options for {@code torch::nn::functional::pad}.
 * 
 *  Example:
 *  
{@code
 *  namespace F = torch::nn::functional;
 *  F::pad(input, F::PadFuncOptions({1, 2, 2, 1, 1, 2}).mode(torch::kReplicate));
 *  }
 */
@Namespace("torch::nn::functional") @NoOffset @Properties(inherit = org.bytedeco.pytorch.presets.torch.class)
public class PadFuncOptions extends Pointer {
    static { Loader.load(); }
    /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
    public PadFuncOptions(Pointer p) { super(p); }


  public PadFuncOptions(@ByVal @Cast("std::vector*") LongVector pad) { super((Pointer)null); allocate(pad); }
  private native void allocate(@ByVal @Cast("std::vector*") LongVector pad);
  public native @Cast("std::vector*") @ByRef @NoException(true) LongVector pad();
  public native @ByRef @NoException(true) pad_mode_t mode();
  public native @ByRef @NoException(true) DoublePointer value();
}