pub struct ProphetNetGenerationOutput {
pub logits: Tensor,
pub ngram_logits: Option<Tensor>,
pub ngram_hidden_states: Option<Tensor>,
pub all_decoder_hidden_states: Option<Vec<Tensor>>,
pub all_ngram_hidden_states: Option<Vec<Tensor>>,
pub all_attentions: Option<Vec<Tensor>>,
pub all_ngram_attentions: Option<Vec<Tensor>>,
pub all_cross_attentions: Option<Vec<Tensor>>,
pub next_decoder_cache: Option<Vec<(Option<LayerState>, Option<LayerState>)>>,
}
Expand description
Container holding a ProphetNet model generation output
Fields§
§logits: Tensor
Prediction logits
ngram_logits: Option<Tensor>
Ngram prediction logits
last decoder layer ngram hidden state
Hidden states for all intermediate layers
Hidden states (ngram) for all intermediate layers
all_attentions: Option<Vec<Tensor>>
Attention weights for all intermediate layers
all_ngram_attentions: Option<Vec<Tensor>>
Ngram attention weights for all intermediate layers
all_cross_attentions: Option<Vec<Tensor>>
Cross attention weights for all intermediate layers
next_decoder_cache: Option<Vec<(Option<LayerState>, Option<LayerState>)>>
Cached outputs of the model (attention layers keys and values) if the model is used for generation
Auto Trait Implementations§
impl Freeze for ProphetNetGenerationOutput
impl RefUnwindSafe for ProphetNetGenerationOutput
impl Send for ProphetNetGenerationOutput
impl !Sync for ProphetNetGenerationOutput
impl Unpin for ProphetNetGenerationOutput
impl UnwindSafe for ProphetNetGenerationOutput
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impl<T> Instrument for T
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fn instrument(self, span: Span) -> Instrumented<Self>
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fn in_current_span(self) -> Instrumented<Self>
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fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
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variant of Either<Self, Self>
if into_left
is true
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Converts self
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
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if into_left(&self)
returns true
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Converts self
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