Struct burn::nn::transformer::TransformerDecoderInput
pub struct TransformerDecoderInput<B>where
B: Backend,{ /* private fields */ }Expand description
Transformer Decoder forward pass input argument.
Implementations§
§impl<B> TransformerDecoderInput<B>where
B: Backend,
impl<B> TransformerDecoderInput<B>where
B: Backend,
pub fn new(
target: Tensor<B, 3>,
memory: Tensor<B, 3>,
) -> TransformerDecoderInput<B>
pub fn new( target: Tensor<B, 3>, memory: Tensor<B, 3>, ) -> TransformerDecoderInput<B>
Create a transformer decoder input argument.
pub fn memory_mask_pad(
self,
mask_pad: Tensor<B, 2, Bool>,
) -> TransformerDecoderInput<B>
pub fn memory_mask_pad( self, mask_pad: Tensor<B, 2, Bool>, ) -> TransformerDecoderInput<B>
Register the memory padding mask.
pub fn memory_mask_attn(
self,
mask_attn: Tensor<B, 3, Bool>,
) -> TransformerDecoderInput<B>
pub fn memory_mask_attn( self, mask_attn: Tensor<B, 3, Bool>, ) -> TransformerDecoderInput<B>
Register the memory attention mask.
pub fn target_mask_pad(
self,
mask_pad: Tensor<B, 2, Bool>,
) -> TransformerDecoderInput<B>
pub fn target_mask_pad( self, mask_pad: Tensor<B, 2, Bool>, ) -> TransformerDecoderInput<B>
Register the target padding mask.
pub fn target_mask_attn(
self,
mask_attn: Tensor<B, 3, Bool>,
) -> TransformerDecoderInput<B>
pub fn target_mask_attn( self, mask_attn: Tensor<B, 3, Bool>, ) -> TransformerDecoderInput<B>
Register the target attention mask.
Trait Implementations§
Auto Trait Implementations§
impl<B> Freeze for TransformerDecoderInput<B>where
<B as Backend>::FloatTensorPrimitive: Freeze,
<B as Backend>::QuantizedTensorPrimitive: Freeze,
<B as Backend>::BoolTensorPrimitive: Freeze,
impl<B> RefUnwindSafe for TransformerDecoderInput<B>where
<B as Backend>::FloatTensorPrimitive: RefUnwindSafe,
<B as Backend>::QuantizedTensorPrimitive: RefUnwindSafe,
<B as Backend>::BoolTensorPrimitive: RefUnwindSafe,
impl<B> Send for TransformerDecoderInput<B>
impl<B> Sync for TransformerDecoderInput<B>
impl<B> Unpin for TransformerDecoderInput<B>where
<B as Backend>::FloatTensorPrimitive: Unpin,
<B as Backend>::QuantizedTensorPrimitive: Unpin,
<B as Backend>::BoolTensorPrimitive: Unpin,
impl<B> UnwindSafe for TransformerDecoderInput<B>where
<B as Backend>::FloatTensorPrimitive: UnwindSafe,
<B as Backend>::QuantizedTensorPrimitive: UnwindSafe,
<B as Backend>::BoolTensorPrimitive: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more