Struct NeuralCompilerConfig 

pub struct NeuralCompilerConfig {
    pub d_model: usize,
    pub d_edge: usize,
    pub gnn_layers: usize,
    pub decoder_layers: usize,
    pub n_heads: usize,
    pub d_ff: usize,
    pub max_seq: usize,
    pub dropout: f64,
}

Configuration for the composite neural compiler model.

Fields

d_model: usize

Model dimension (shared between encoder and decoder).

d_edge: usize

Edge embedding dimension for GNN.

gnn_layers: usize

Number of GNN layers.

decoder_layers: usize

Number of decoder layers.

n_heads: usize

Number of attention heads.

d_ff: usize

FFN inner dimension.

max_seq: usize

Maximum output sequence length.

dropout: f64

Dropout rate (0 for inference).

Implementations

impl NeuralCompilerConfig

pub fn new() -> Self

Create a new instance of the config.

impl NeuralCompilerConfig

pub fn with_d_model(self, d_model: usize) -> Self

Model dimension (shared between encoder and decoder).

pub fn with_d_edge(self, d_edge: usize) -> Self

Edge embedding dimension for GNN.

pub fn with_gnn_layers(self, gnn_layers: usize) -> Self

Number of GNN layers.

pub fn with_decoder_layers(self, decoder_layers: usize) -> Self

Number of decoder layers.

pub fn with_n_heads(self, n_heads: usize) -> Self

Number of attention heads.

pub fn with_d_ff(self, d_ff: usize) -> Self

FFN inner dimension.

pub fn with_max_seq(self, max_seq: usize) -> Self

Maximum output sequence length.

pub fn with_dropout(self, dropout: f64) -> Self

Dropout rate (0 for inference).

impl NeuralCompilerConfig

pub fn init<B: Backend>(&self, device: &B::Device) -> NeuralCompilerV2<B>

Initialize the composite model.

pub fn param_estimate(&self) -> usize

Parameter count estimate.

Trait Implementations

impl Clone for NeuralCompilerConfig

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Config for NeuralCompilerConfig

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 NeuralCompilerConfig

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for NeuralCompilerConfig

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for NeuralCompilerConfig

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

Formats the value using the given formatter.

impl Serialize for NeuralCompilerConfig

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

where S: Serializer,

Serialize this value into the given Serde serializer.