org.bytedeco.pytorch

Class LSTMCellImplBase

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.pytorch.Module

org.bytedeco.pytorch.LSTMCellImplCloneable

org.bytedeco.pytorch.LSTMCellImplBase

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

LSTMCellImpl

@Name(value="torch::nn::detail::RNNCellImplBase<torch::nn::LSTMCellImpl>")
 @NoOffset
 @Properties(inherit=torch.class)
public class LSTMCellImplBase
extends LSTMCellImplCloneable

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
LSTMCellImplBase(Pointer p) Pointer cast constructor.
LSTMCellImplBase(RNNCellOptionsBase options_)

Method Summary

Modifier and Type	Method and Description
Tensor	bias_hh()
LSTMCellImplBase	bias_hh(Tensor setter)
Tensor	bias_ih()
LSTMCellImplBase	bias_ih(Tensor setter)
RNNCellOptionsBase	options_base()
LSTMCellImplBase	options_base(RNNCellOptionsBase setter)
void	pretty_print(Pointer stream) Pretty prints the RNN module into the given stream.
void	reset_parameters()
void	reset() Initializes the parameters of the RNNCell module.
Tensor	weight_hh()
LSTMCellImplBase	weight_hh(Tensor setter)
Tensor	weight_ih()
LSTMCellImplBase	weight_ih(Tensor setter)

Methods inherited from class org.bytedeco.pytorch.LSTMCellImplCloneable

clone, clone

Methods inherited from class org.bytedeco.pytorch.Module

apply, apply, apply, apply, apply, apply, apply, apply, asAdaptiveAvgPool1d, asAdaptiveAvgPool2d, asAdaptiveAvgPool3d, asAdaptiveLogSoftmaxWithLoss, asAdaptiveMaxPool1d, asAdaptiveMaxPool2d, asAdaptiveMaxPool3d, asAlphaDropout, asAvgPool1d, asAvgPool2d, asAvgPool3d, asBatchNorm1d, asBatchNorm2d, asBatchNorm3d, asBCELoss, asBCEWithLogitsLoss, asBilinear, asCELU, asConstantPad1d, asConstantPad2d, asConstantPad3d, asConv1d, asConv2d, asConv3d, asConvTranspose1d, asConvTranspose2d, asConvTranspose3d, asCosineEmbeddingLoss, asCosineSimilarity, asCrossEntropyLoss, asCrossMapLRN2d, asCTCLoss, asDropout, asDropout2d, asDropout3d, asELU, asEmbedding, asEmbeddingBag, asFeatureAlphaDropout, asFlatten, asFold, asFractionalMaxPool2d, asFractionalMaxPool3d, asGELU, asGLU, asGroupNorm, asGRU, asGRUCell, asHardshrink, asHardtanh, asHingeEmbeddingLoss, asHuberLoss, asIdentity, asInstanceNorm1d, asInstanceNorm2d, asInstanceNorm3d, asKLDivLoss, asL1Loss, asLayerNorm, asLeakyReLU, asLinear, asLocalResponseNorm, asLogSigmoid, asLogSoftmax, asLPPool1d, asLPPool2d, asLPPool3d, asLSTM, asLSTMCell, asMarginRankingLoss, asMaxPool1d, asMaxPool2d, asMaxPool3d, asMaxUnpool1d, asMaxUnpool2d, asMaxUnpool3d, asMish, asModuleDict, asModuleList, asMSELoss, asMultiheadAttention, asMultiLabelMarginLoss, asMultiLabelSoftMarginLoss, asMultiMarginLoss, asNLLLoss, asPairwiseDistance, asParameterDict, asParameterList, asPixelShuffle, asPixelUnshuffle, asPoissonNLLLoss, asPReLU, asReflectionPad1d, asReflectionPad2d, asReflectionPad3d, asReLU, asReLU6, asReplicationPad1d, asReplicationPad2d, asReplicationPad3d, asRNN, asRNNCell, asRReLU, asSELU, asSequential, asSigmoid, asSiLU, asSmoothL1Loss, asSoftMarginLoss, asSoftmax, asSoftmax2d, asSoftmin, asSoftplus, asSoftshrink, asSoftsign, asTanh, asTanhshrink, asThreshold, asTransformer, asTransformerDecoder, asTransformerDecoderLayer, asTransformerEncoder, asTransformerEncoderLayer, asTripletMarginLoss, asTripletMarginWithDistanceLoss, asUnflatten, asUnfold, asUpsample, asZeroPad1d, asZeroPad2d, asZeroPad3d, 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, put, 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

LSTMCellImplBase

public LSTMCellImplBase(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

LSTMCellImplBase

public LSTMCellImplBase(@Const @ByRef
                        RNNCellOptionsBase options_)

Method Detail

reset

public void reset()

Initializes the parameters of the RNNCell module.

Overrides:

reset in class LSTMCellImplCloneable

reset_parameters

public void reset_parameters()

pretty_print

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

Pretty prints the RNN module into the given stream.

Overrides:

pretty_print in class Module

options_base

@ByRef
public RNNCellOptionsBase options_base()

options_base

public LSTMCellImplBase options_base(RNNCellOptionsBase setter)

weight_ih

@ByRef
public Tensor weight_ih()

weight_ih

public LSTMCellImplBase weight_ih(Tensor setter)

weight_hh

@ByRef
public Tensor weight_hh()

weight_hh

public LSTMCellImplBase weight_hh(Tensor setter)

bias_ih

@ByRef
public Tensor bias_ih()

bias_ih

public LSTMCellImplBase bias_ih(Tensor setter)

bias_hh

@ByRef
public Tensor bias_hh()

bias_hh

public LSTMCellImplBase bias_hh(Tensor setter)