Struct Tanh 

pub struct Tanh;

Tanh activation: tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))

Maps inputs to (-1, 1) range.

Implementations

impl Tanh

pub fn new() -> Tanh

Trait Implementations

impl Clone for Tanh

fn clone(&self) -> Tanh

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Tanh

impl Debug for Tanh

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

Formats the value using the given formatter.

impl Default for Tanh

fn default() -> Tanh

Returns the “default value” for a type.

impl Module for Tanh

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

Perform forward computation.

fn parameters(&self) -> Vec<&Tensor>

Get references to all learnable parameters.

fn parameters_mut(&mut self) -> Vec<&mut Tensor>

Get mutable references to all learnable parameters.

fn named_parameters(&self) -> Vec<(String, &Tensor)>

Get (name, parameter) pairs for all learnable parameters.

fn named_parameters_mut(&mut self) -> Vec<(String, &mut Tensor)>

Get (name, mutable parameter) pairs for all learnable parameters.

fn set_training(&mut self, training: bool)

Set training mode recursively, propagating into child modules.

fn refresh_caches(&mut self)

Refresh any cached computations after parameters have been modified.

fn train(&mut self)

Set the module to training mode.

fn eval(&mut self)

Set the module to evaluation mode.

fn training(&self) -> bool

Check if the module is in training mode.

fn zero_grad(&mut self)

Zero out gradients for all parameters.

fn num_parameters(&self) -> usize

Get the number of learnable parameters.