Struct MultiTrainConfig 

pub struct MultiTrainConfig {

    pub n_ffts: Vec<usize>,
    pub batch: usize,
    pub steps: usize,
    pub schedules: Vec<MultiTrainSchedule>,
    pub lr: f64,
    pub spectrum_weight: f32,
    pub seed: u64,
    pub log_every: usize,
    pub eval_batches: usize,
    pub out_dir: Option<PathBuf>,
    pub until_converged: bool,
    pub min_steps: usize,
    pub converge_every: usize,
    pub converge_patience: usize,
    pub converge_delta: f32,
    pub grad_clip: f32,
    pub project_twiddles: bool,
    pub use_fused_train: bool,
    pub optimizer: TwiddleOptimizer,
}

Fields

n_ffts: Vec<usize>

batch: usize

steps: usize

Maximum training steps (per size for single, total for mixed schedules).

schedules: Vec<MultiTrainSchedule>

lr: f64

spectrum_weight: f32

seed: u64

log_every: usize

eval_batches: usize

out_dir: Option<PathBuf>

until_converged: bool

Stop early when holdout loss plateaus (after min_steps).

min_steps: usize

Minimum steps before convergence checks apply.

converge_every: usize

Re-check holdout loss every N steps.

converge_patience: usize

Consecutive checks without meaningful improvement before stop.

converge_delta: f32

Relative improvement threshold (fraction of best loss).

grad_clip: f32

Clip twiddle gradient L2 norm (0 = off).

project_twiddles: bool

Keep twiddles on the unit circle after each step.

use_fused_train: bool

Use fused enc–dec step (batched ref FFT + shared backward).

optimizer: TwiddleOptimizer

Trait Implementations

impl Clone for MultiTrainConfig

fn clone(&self) -> MultiTrainConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MultiTrainConfig

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

Formats the value using the given formatter.

impl Default for MultiTrainConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MultiTrainConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MultiTrainConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.