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

// Targeted by JavaCPP version 1.5.9: 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.*;
 // namespace functional

// ============================================================================

/** Options for the {@code BCEWithLogitsLoss} module.
 * 
 *  Example:
 *  
{@code
 *  BCEWithLogitsLoss
 *  model(BCEWithLogitsLossOptions().reduction(torch::kNone).weight(weight));
 *  }
*/ @Namespace("torch::nn") @Properties(inherit = org.bytedeco.pytorch.presets.torch.class) public class BCEWithLogitsLossOptions extends Pointer { static { Loader.load(); } /** Default native constructor. */ public BCEWithLogitsLossOptions() { super((Pointer)null); allocate(); } /** Native array allocator. Access with {@link Pointer#position(long)}. */ public BCEWithLogitsLossOptions(long size) { super((Pointer)null); allocateArray(size); } /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */ public BCEWithLogitsLossOptions(Pointer p) { super(p); } private native void allocate(); private native void allocateArray(long size); @Override public BCEWithLogitsLossOptions position(long position) { return (BCEWithLogitsLossOptions)super.position(position); } @Override public BCEWithLogitsLossOptions getPointer(long i) { return new BCEWithLogitsLossOptions((Pointer)this).offsetAddress(i); } public native @ByRef @NoException(true) Tensor weight(); public native @ByRef @NoException(true) loss_reduction_t reduction(); public native @ByRef @NoException(true) Tensor pos_weight(); }




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