pub struct ClassificationLayer { /* private fields */ }Expand description
layer for converting loss to classification output
Trait Implementations§
Source§impl<B: Backend> AI<LossOutput<B>, ClassificationOutput<B>> for ClassificationLayer
impl<B: Backend> AI<LossOutput<B>, ClassificationOutput<B>> for ClassificationLayer
Source§fn forward(&self, lossoutput: LossOutput<B>) -> ClassificationOutput<B>
fn forward(&self, lossoutput: LossOutput<B>) -> ClassificationOutput<B>
applies to the input
Source§fn forward_mut(&mut self, input: X) -> Y
fn forward_mut(&mut self, input: X) -> Y
applies to the input, possibly updating internal caches
Source§impl Clone for ClassificationLayer
impl Clone for ClassificationLayer
Source§fn clone(&self) -> ClassificationLayer
fn clone(&self) -> ClassificationLayer
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for ClassificationLayer
impl Debug for ClassificationLayer
Source§impl Decompose for ClassificationLayer
impl Decompose for ClassificationLayer
Source§type Decomposition = ()
type Decomposition = ()
the decomposed type
Source§fn compose(_decomposition: Self::Decomposition) -> Self
fn compose(_decomposition: Self::Decomposition) -> Self
recreates from the decomposition
Source§fn decompose_cloned(&self)
fn decompose_cloned(&self)
decomposition that copies data
Source§impl Default for ClassificationLayer
impl Default for ClassificationLayer
Source§fn default() -> ClassificationLayer
fn default() -> ClassificationLayer
Returns the “default value” for a type. Read more
Source§impl<'de> Deserialize<'de> for ClassificationLayer
impl<'de> Deserialize<'de> for ClassificationLayer
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Source§impl Op for ClassificationLayer
impl Op for ClassificationLayer
Source§type Output = ClassificationOutput<NdArray>
type Output = ClassificationOutput<NdArray>
suggested output type to help with composition coherence. Ideally, Self should implement AI<X,Self::Output> for some X
Source§fn chain<B>(self, b: B) -> Sequential<(Self, B)>
fn chain<B>(self, b: B) -> Sequential<(Self, B)>
sequences with another ai operation
Source§fn forward_fixed<Z>(&self, input: Z) -> Z
fn forward_fixed<Z>(&self, input: Z) -> Z
applies to the input
Source§fn forward_fixed_mut<Z>(&mut self, input: Z) -> Z
fn forward_fixed_mut<Z>(&mut self, input: Z) -> Z
applies to the input
Source§fn forward_typed<W, Z>(&self, input: W) -> Z
fn forward_typed<W, Z>(&self, input: W) -> Z
applies to the input
Source§fn forward_typed_mut<W, Z>(&mut self, input: W) -> Z
fn forward_typed_mut<W, Z>(&mut self, input: W) -> Z
applies to the input, possibly updating internal caches
Source§fn infer_autoregressive<X, Y>(self, input: X) -> Autoregression<Self, Y> ⓘ
fn infer_autoregressive<X, Y>(self, input: X) -> Autoregression<Self, Y> ⓘ
creates an autoregressive inference
Source§fn map<B>(self, b: B) -> Map<Sequential<(Self, B)>>
fn map<B>(self, b: B) -> Map<Sequential<(Self, B)>>
applies the operation to every output
Source§fn wrap_inner(self) -> Inner<Self>where
Self: Sized,
fn wrap_inner(self) -> Inner<Self>where
Self: Sized,
wraps the inner value so it can be unwrapped with unwrap inner
Source§impl Serialize for ClassificationLayer
impl Serialize for ClassificationLayer
impl Copy for ClassificationLayer
Auto Trait Implementations§
impl Freeze for ClassificationLayer
impl RefUnwindSafe for ClassificationLayer
impl Send for ClassificationLayer
impl Sync for ClassificationLayer
impl Unpin for ClassificationLayer
impl UnwindSafe for ClassificationLayer
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
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
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 moreSource§impl<T> Pointable for T
impl<T> Pointable for T
Source§impl<T> Shortcuts for T
impl<T> Shortcuts for T
Source§fn classification(self) -> Classification<Self>
fn classification(self) -> Classification<Self>
wraps in a classification wrapper
Source§fn regression(self) -> Regression<Self>
fn regression(self) -> Regression<Self>
wraps in a regression wrapper