Enum JobInput 

pub enum JobInput {
    DenseLinearProduct {
        m: usize,
        k: usize,
        n: usize,
        a: Vec<f64>,
        b: Vec<f64>,
    },
    EmbeddingArtifact {
        triples: Vec<(usize, usize, usize)>,
        n_entities: usize,
        n_relations: usize,
        cfg: TrainConfig,
        check: Vec<(usize, usize, usize)>,
    },
}

The actual work payload. Carries the real inputs (content-addressed into the job id), so an executor has everything it needs and a verifier can re-derive the answer.

Variants

DenseLinearProduct

A is m×k, B is k×n, both row-major.

Fields

m: usize

k: usize

n: usize

a: Vec<f64>

b: Vec<f64>

EmbeddingArtifact

Train an embedding over triples; check is the held-out set used to verify the returned table actually learned (not just terminated).

Fields

triples: Vec<(usize, usize, usize)>

n_entities: usize

n_relations: usize

cfg: TrainConfig

check: Vec<(usize, usize, usize)>

Implementations

impl JobInput

pub fn kind(&self) -> JobKind

pub fn is_well_formed(&self) -> bool

True if the input is internally well-formed (dimensions consistent).

Trait Implementations

impl Clone for JobInput

fn clone(&self) -> JobInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for JobInput

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

Formats the value using the given formatter.

impl PartialEq for JobInput

fn eq(&self, other: &JobInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for JobInput