Struct BiRnnConfig 

pub struct BiRnnConfig {
    pub d_input: usize,
    pub d_hidden: usize,
    pub bias: bool,
    pub initializer: Initializer,
    pub batch_first: bool,
    pub clip: Option<f64>,
    pub hidden_activation: ActivationConfig,
}

Configuration to create a BiRnn module using the init function.

Fields

d_input: usize

The size of the input features.

d_hidden: usize

The size of the hidden state.

bias: bool

If a bias should be applied during the BiRnn transformation.

initializer: Initializer

BiRnn initializer

batch_first: bool

If true, the input tensor is expected to be [batch_size, seq_length, input_size]. If false, the input tensor is expected to be [seq_length, batch_size, input_size].

clip: Option<f64>

Optional hidden state clip threshold.

hidden_activation: ActivationConfig

Activation function applied to the hidden state before computing hidden output.

Implementations

impl BiRnnConfig

pub fn new(d_input: usize, d_hidden: usize, bias: bool) -> BiRnnConfig

Create a new instance of the config.

Arguments

Required Arguments

d_input

The size of the input features.

d_hidden

The size of the hidden state.

bias

If a bias should be applied during the BiRnn transformation.

Optional Arguments

clip

Optional hidden state clip threshold.

• Defaults to None

Default Arguments

initializer

BiRnn initializer

• Defaults to "Initializer::XavierNormal{gain:1.0}"

batch_first

If true, the input tensor is expected to be [batch_size, seq_length, input_size]. If false, the input tensor is expected to be [seq_length, batch_size, input_size].

• Defaults to true

hidden_activation

Activation function applied to the hidden state before computing hidden output.

• Defaults to "ActivationConfig::Tanh"

impl BiRnnConfig

pub fn with_initializer(self, initializer: Initializer) -> BiRnnConfig

Sets the value for the field initializer.

BiRnn initializer

• Defaults to "Initializer::XavierNormal{gain:1.0}"

pub fn with_batch_first(self, batch_first: bool) -> BiRnnConfig

Sets the value for the field batch_first.

If true, the input tensor is expected to be [batch_size, seq_length, input_size]. If false, the input tensor is expected to be [seq_length, batch_size, input_size].

• Defaults to true

pub fn with_hidden_activation( self, hidden_activation: ActivationConfig, ) -> BiRnnConfig

Sets the value for the field hidden_activation.

Activation function applied to the hidden state before computing hidden output.

• Defaults to "ActivationConfig::Tanh"

pub fn with_clip(self, clip: Option<f64>) -> BiRnnConfig

Sets the value for the field clip.

Optional hidden state clip threshold.

• Defaults to None

impl BiRnnConfig

pub fn init(&self, device: &Device) -> BiRnn

Initialize a new Bidirectional RNN module.

Trait Implementations

impl Clone for BiRnnConfig

fn clone(&self) -> BiRnnConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Config for BiRnnConfig

fn save<P>(&self, file: P) -> Result<(), Error>

where P: AsRef<Path>,

Saves the configuration to a file.

fn load<P>(file: P) -> Result<Self, ConfigError>

where P: AsRef<Path>,

Loads the configuration from a file.

fn load_binary(data: &[u8]) -> Result<Self, ConfigError>

Loads the configuration from a binary buffer.

impl Debug for BiRnnConfig

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for BiRnnConfig

fn deserialize<D>( deserializer: D, ) -> Result<BiRnnConfig, <D as Deserializer<'de>>::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for BiRnnConfig

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

Formats the value using the given formatter.

impl Serialize for BiRnnConfig

fn serialize<S>( &self, serializer: S, ) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.