Struct InferenceConfig 

pub struct InferenceConfig {
    pub max_inference_tokens: Option<usize>,
    pub use_input_token_fallback: bool,
}

Controls deterministic inference behavior for the lightweight transition engine (MultiscreenEngine).

This is distinct from ModelInferenceConfig which controls the neural MultiscreenModel inference path.

Fields

max_inference_tokens: Option<usize>

Maximum number of output tokens to produce. None means output length equals input length.

use_input_token_fallback: bool

When true and no trained transition exists for a token, fall back to echoing the input token.

Implementations

impl InferenceConfig

pub fn validate(&self) -> Result<()>

Trait Implementations

impl Clone for InferenceConfig

fn clone(&self) -> InferenceConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for InferenceConfig

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

Formats the value using the given formatter.

impl Default for InferenceConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for InferenceConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for InferenceConfig

fn eq(&self, other: &InferenceConfig) -> 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 Serialize for InferenceConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for InferenceConfig

impl StructuralPartialEq for InferenceConfig