@Namespace(value="torch::nn") @NoOffset @Properties(inherit=torch.class) public class TransformerDecoderImpl extends TransformerDecoderImplCloneable
torch::nn::TransformerDecoderOptions class to
learn what constructor arguments are supported for this decoder module
Example:
TransformerDecoderLayer decoder_layer(TransformerDecoderLayerOptions(512,
8).dropout(0.1)); TransformerDecoder
transformer_decoder(TransformerDecoderOptions(decoder_layer,
6).norm(LayerNorm(LayerNormOptions({2})))); const auto memory =
torch::rand({10, 32, 512}); const auto tgt = torch::rand({20, 32, 512});
auto out = transformer_decoder(tgt, memory);
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
TransformerDecoderImpl(Module pointer)
Downcast constructor.
|
TransformerDecoderImpl(Pointer p)
Pointer cast constructor.
|
TransformerDecoderImpl(TransformerDecoderOptions options_) |
| Modifier and Type | Method and Description |
|---|---|
Tensor |
forward(Tensor tgt,
Tensor memory) |
Tensor |
forward(Tensor tgt,
Tensor memory,
Tensor tgt_mask,
Tensor memory_mask,
Tensor tgt_key_padding_mask,
Tensor memory_key_padding_mask)
Pass the inputs (and mask) through the decoder layer in turn.
|
AnyModule |
norm()
optional layer normalization module
|
TransformerDecoderImpl |
norm(AnyModule setter) |
TransformerDecoderOptions |
options()
The options used to configure this module.
|
TransformerDecoderImpl |
options(TransformerDecoderOptions setter) |
void |
reset_parameters() |
void |
reset()
reset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules. |
asModule, asModule, clone, cloneapply, 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, pretty_print, 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_gradaddress, 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, zeropublic TransformerDecoderImpl(Pointer p)
Pointer(Pointer).public TransformerDecoderImpl(Module pointer)
public TransformerDecoderImpl(@ByVal TransformerDecoderOptions options_)
public void reset()
TransformerDecoderImplCloneablereset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules.reset in class TransformerDecoderImplCloneablepublic void reset_parameters()
@ByVal public Tensor forward(@Const @ByRef Tensor tgt, @Const @ByRef Tensor memory, @Const @ByRef(nullValue="torch::Tensor{}") Tensor tgt_mask, @Const @ByRef(nullValue="torch::Tensor{}") Tensor memory_mask, @Const @ByRef(nullValue="torch::Tensor{}") Tensor tgt_key_padding_mask, @Const @ByRef(nullValue="torch::Tensor{}") Tensor memory_key_padding_mask)
@ByRef public TransformerDecoderOptions options()
public TransformerDecoderImpl options(TransformerDecoderOptions setter)
public TransformerDecoderImpl norm(AnyModule setter)
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