org.bytedeco.pytorch

Class HingeEmbeddingLossImpl

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.pytorch.Module

org.bytedeco.pytorch.HingeEmbeddingLossImplCloneable

org.bytedeco.pytorch.HingeEmbeddingLossImpl

All Implemented Interfaces:

AutoCloseable

@Namespace(value="torch::nn")
 @NoOffset
 @Properties(inherit=torch.class)
public class HingeEmbeddingLossImpl
extends HingeEmbeddingLossImplCloneable

Creates a criterion that measures the loss given an input tensor :math:x and a labels tensor :math:y (containing 1 or -1). See https://pytorch.org/docs/master/nn.html#torch.nn.HingeEmbeddingLoss to learn about the exact behavior of this module. See the documentation for torch::nn::HingeEmbeddingLossOptions class to learn what constructor arguments are supported for this module. Example:

  HingeEmbeddingLoss
  model(HingeEmbeddingLossOptions().margin(4).reduction(torch::kNone));
  

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
HingeEmbeddingLossImpl()
HingeEmbeddingLossImpl(HingeEmbeddingLossOptions options_)
HingeEmbeddingLossImpl(Module pointer) Downcast constructor.
HingeEmbeddingLossImpl(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
Tensor	forward(Tensor input, Tensor target)
HingeEmbeddingLossOptions	options() The options with which this Module was constructed.
HingeEmbeddingLossImpl	options(HingeEmbeddingLossOptions setter)
void	pretty_print(Pointer stream) Pretty prints the HingeEmbeddingLoss module into the given stream.
void	reset() reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

Methods inherited from class org.bytedeco.pytorch.HingeEmbeddingLossImplCloneable

asModule, asModule, clone, clone

Methods inherited from class org.bytedeco.pytorch.Module

apply, apply, apply, apply, apply, apply, apply, apply, buffers, buffers, children, eval, is_serializable, is_training, load, modules, modules, name, named_buffers, named_buffers, named_children, named_modules, named_modules, named_modules, named_parameters, named_parameters, parameters, parameters, register_buffer, register_buffer, register_module, register_module, register_parameter, register_parameter, register_parameter, register_parameter, save, shiftLeft, to, to, to, train, unregister_module, unregister_module, zero_grad

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

HingeEmbeddingLossImpl

public HingeEmbeddingLossImpl(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

HingeEmbeddingLossImpl

public HingeEmbeddingLossImpl(Module pointer)

Downcast constructor.

HingeEmbeddingLossImpl

public HingeEmbeddingLossImpl(@ByVal(nullValue="torch::nn::HingeEmbeddingLossOptions{}")
                              HingeEmbeddingLossOptions options_)

HingeEmbeddingLossImpl

public HingeEmbeddingLossImpl()

Method Detail

reset

public void reset()

Description copied from class: HingeEmbeddingLossImplCloneable

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

Overrides:

reset in class HingeEmbeddingLossImplCloneable

pretty_print

public void pretty_print(@Cast(value="std::ostream*") @ByRef
                         Pointer stream)

Pretty prints the HingeEmbeddingLoss module into the given stream.

Overrides:

pretty_print in class Module

forward

@ByVal
public Tensor forward(@Const @ByRef
                             Tensor input,
                             @Const @ByRef
                             Tensor target)

options

@ByRef
public HingeEmbeddingLossOptions options()

The options with which this Module was constructed.

options

public HingeEmbeddingLossImpl options(HingeEmbeddingLossOptions setter)