pub struct OptimizationNetwork {
pub input_embedding: Array2<f64>,
pub hidden_layers: Vec<Array2<f64>>,
pub output_layer: Array2<f64>,
pub attention_weights: Option<Vec<Array2<f64>>>,
pub layer_norms: Vec<LayerNorm>,
pub activation: ActivationType,
}
Expand description
Neural network for learned optimization
Fields§
§input_embedding: Array2<f64>
Input embedding layer
Hidden layers
output_layer: Array2<f64>
Output layer
attention_weights: Option<Vec<Array2<f64>>>
Attention weights (if using transformer)
layer_norms: Vec<LayerNorm>
Layer normalization parameters
activation: ActivationType
Activation function type
Implementations§
Trait Implementations§
Source§impl Clone for OptimizationNetwork
impl Clone for OptimizationNetwork
Source§fn clone(&self) -> OptimizationNetwork
fn clone(&self) -> OptimizationNetwork
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moreAuto Trait Implementations§
impl Freeze for OptimizationNetwork
impl RefUnwindSafe for OptimizationNetwork
impl Send for OptimizationNetwork
impl Sync for OptimizationNetwork
impl Unpin for OptimizationNetwork
impl UnwindSafe for OptimizationNetwork
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impl<T> BorrowMut<T> for Twhere
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