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FlowMatchingConfig

tenflowers_neural::continuous_normalizing_flows

Struct FlowMatchingConfig 

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pub struct FlowMatchingConfig {
    pub z_dim: usize,
    pub hidden_dim: usize,
    pub n_layers: usize,
    pub sigma_min: f64,
    pub n_steps: usize,
    pub lr: f64,
}
Expand description

Configuration for Flow Matching / CFM models.

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§z_dim: usize

Dimensionality of the data/latent space.

§hidden_dim: usize

Hidden layer width.

§n_layers: usize

Number of hidden layers in the velocity network.

§sigma_min: f64

Small constant σ_min for numerical stability (default 1e-4).

§n_steps: usize

Number of Euler steps during inference.

§lr: f64

Learning rate.

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impl Clone for FlowMatchingConfig

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fn clone(&self) -> FlowMatchingConfig

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Default for FlowMatchingConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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