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• Dropout2dImplCloneable.java

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org.bytedeco.pytorch.Dropout2dImplCloneable Maven / Gradle / Ivy

// Targeted by JavaCPP version 1.5.11: 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 org.bytedeco.javacpp.annotation.Cast;
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 org.bytedeco.javacpp.chrono.*;
import static org.bytedeco.javacpp.global.chrono.*;

import static org.bytedeco.pytorch.global.torch.*;

@Name("torch::nn::Cloneable") @Properties(inherit = org.bytedeco.pytorch.presets.torch.class)
public class Dropout2dImplCloneable extends Module {
    static { Loader.load(); }
    /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
    public Dropout2dImplCloneable(Pointer p) { super(p); }


  /** {@code reset()} must perform initialization of all members with reference
   *  semantics, most importantly parameters, buffers and submodules. */
  public native void reset();

  /** Performs a recursive "deep copy" of the {@code Module}, such that all parameters
   *  and submodules in the cloned module are different from those in the
   *  original module. */
  public native @SharedPtr("torch::nn::Module") @ByVal Module clone(
        @Const @ByRef(nullValue = "std::optional(std::nullopt)") DeviceOptional device);
  public native @SharedPtr("torch::nn::Module") @ByVal Module clone();
}