Struct Chain

pub struct Chain<A, B> {
    pub first: A,
    pub second: B,
    pub activation: Activation,
}

One module applied to the output of another with an optional activation function in between.

Fields

first: A

second: B

activation: Activation

Implementations

impl<A, B> Chain<A, B>

pub const fn new(first: A, second: B, activation: Activation) -> Self

Trait Implementations

impl<A: Clone, B: Clone> Clone for Chain<A, B>

fn clone(&self) -> Chain<A, B>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<A: Debug, B: Debug> Debug for Chain<A, B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<A: Default, B: Default> Default for Chain<A, B>

fn default() -> Chain<A, B>

Returns the “default value” for a type.

impl<'de, A, B> Deserialize<'de> for Chain<A, B>

where A: Deserialize<'de>, B: Deserialize<'de>,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<A, B> Forward for Chain<A, B>

where A: Forward, B: Forward,

fn forward(&self, input: &Tensor) -> Tensor

Apply a batch feed-forward transformation to a tensor.

impl<A, B> Module for Chain<A, B>

where A: Module + for<'a> ModuleExtras<'a>, B: Module + for<'a> ModuleExtras<'a>,

fn shallow_clone(&self) -> Self

where Self: Sized,

Create a clone of this module sharing the same variables (tensors).

fn clone_to_device(&self, device: Device) -> Self

where Self: Sized,

Create a clone of this module on the given device.

fn variables(&self) -> Box<dyn Iterator<Item = &Tensor> + '_>

Iterator over variables (tensors) managed by this module.

fn trainable_variables(&self) -> Box<dyn Iterator<Item = &Tensor> + '_>

Iterator over the trainable variables (tensors) managed by this module.

fn has_cudnn_second_derivatives(&self) -> bool

Whether cuDNN supports second derivatives of this module.

impl<'a, A, B> ModuleExtras<'a> for Chain<A, B>

where A: ModuleExtras<'a>, B: ModuleExtras<'a>,

type Variables = Chain<<A as ModuleExtras<'a>>::Variables, <B as ModuleExtras<'a>>::Variables>

type TrainableVariables = Chain<<A as ModuleExtras<'a>>::TrainableVariables, <B as ModuleExtras<'a>>::TrainableVariables>

fn variables(&'a self) -> Self::Variables

Iterator over variables (tensors) managed by this module.

fn trainable_variables(&'a self) -> Self::TrainableVariables

Iterator over the trainable variables (tensors) managed by this module.

impl<A: PartialEq, B: PartialEq> PartialEq for Chain<A, B>

fn eq(&self, other: &Chain<A, B>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<A, B> SeqIterative for Chain<A, B>

where A: SeqIterative, B: SeqIterative,

type State = (<A as SeqIterative>::State, <B as SeqIterative>::State)

Sequence state managed by the module.

fn initial_state(&self) -> Self::State

Construct an initial state for the start of a new sequence.

fn step(&self, state: &mut Self::State, input: &Tensor) -> Tensor

Transform the next value in the sequence.

fn iter<I>(&self, inputs: I) -> SeqIterator<&Self, I::IntoIter>

where I: IntoIterator, I::Item: AsRef<Tensor>,

Iterate over input tensors

fn into_iter<I>(self, inputs: I) -> SeqIterator<Self, I::IntoIter>

where I: IntoIterator, I::Item: AsRef<Tensor>, Self: Sized,

Convert into an iterator over input tensors.

impl<A, B> SeqPacked for Chain<A, B>

where A: SeqPacked, B: SeqPacked,

fn seq_packed(&self, inputs: &PackedTensor) -> PackedTensor

Apply a sequence-to-sequence transformation on a PackedTensor.

impl<A, B> SeqSerial for Chain<A, B>

where A: SeqSerial, B: SeqSerial,

fn seq_serial(&self, inputs: &Tensor, seq_lengths: &[usize]) -> Tensor

Apply a sequence-to-sequence transformation to a series of sequences.

impl<A, B> Serialize for Chain<A, B>

where A: Serialize, B: Serialize,

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl<A: Copy, B: Copy> Copy for Chain<A, B>

impl<A, B> StructuralPartialEq for Chain<A, B>