Struct burn::nn::LinearConfig

pub struct LinearConfig {
    pub d_input: usize,
    pub d_output: usize,
    pub bias: bool,
    pub initializer: Initializer,
}

Configuration to create a Linear layer.

Fields

d_input: usize

The size of the input features.

d_output: usize

The size of the output features.

bias: bool

If a bias should be applied during the linear transformation.

initializer: Initializer

The type of function used to initialize neural network parameters

Implementations

impl LinearConfig

pub fn new(d_input: usize, d_output: usize) -> LinearConfig

impl LinearConfig

pub fn with_bias(self, bias: bool) -> LinearConfig

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

Trait Implementations

impl Clone for LinearConfig

fn clone(&self) -> LinearConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Config for LinearConfig

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

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

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

impl<'de> Deserialize<'de> for LinearConfig

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

Deserialize this value from the given Serde deserializer.

impl Display for LinearConfig

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

Formats the value using the given formatter.

impl Serialize for LinearConfig

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.