[][src]Struct rust_bert::mobilebert::NoNorm

pub struct NoNorm { /* fields omitted */ }

No-normalization option for MobileBERT

Basic module performing a linear multiplication using trained coefficients and bias

Implementations

impl NoNorm[src]

pub fn new<'p, P>(p: P, hidden_size: i64) -> NoNorm where
    P: Borrow<Path<'p>>, 
[src]

Creates a new NoNorm layer of given hidden size.

Arguments:

  • hidden_size - input tensor's hidden size

Example

use rust_bert::mobilebert::NoNorm;
use tch::{nn, Device};
let device = Device::Cpu;
let p = nn::VarStore::new(device);
let hidden_size = 512;
let no_norm = NoNorm::new(&p.root(), hidden_size);

Trait Implementations

impl Debug for NoNorm[src]

impl Module for NoNorm[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T> ModuleT for T where
    T: Module
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impl<T> Pointable for T

type Init = T

The type for initializers.

impl<T> Same<T> for T

type Output = T

Should always be Self

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,