Struct InferenceModel 

pub struct InferenceModel {

    pub obs_dim: usize,
    pub action_dim: usize,
    pub hidden_dim: usize,
    pub activation: InferenceActivation,
    pub metadata: Option<TrainingMetadata>,
    pub shared_fc1_weight: Vec<Vec<f32>>,
    pub shared_fc1_bias: Vec<f32>,
    pub shared_fc2_weight: Vec<Vec<f32>>,
    pub shared_fc2_bias: Vec<f32>,
    pub policy_weight: Vec<Vec<f32>>,
    pub policy_bias: Vec<f32>,
    pub value_weight: Vec<Vec<f32>>,
    pub value_bias: Vec<f32>,
}

A serializable MLP model for inference

This struct contains all the weights and biases needed to run inference in pure Rust (no Burn/tensor-stack dependency).

Fields

obs_dim: usize

Input dimension

action_dim: usize

Output dimension (number of actions)

hidden_dim: usize

Hidden layer dimension

activation: InferenceActivation

Activation function

metadata: Option<TrainingMetadata>

Training metadata (optional)

shared_fc1_weight: Vec<Vec<f32>>

Shared layer 1: weights [obs_dim, hidden_dim]

shared_fc1_bias: Vec<f32>

Shared layer 1: bias [hidden_dim]

shared_fc2_weight: Vec<Vec<f32>>

Shared layer 2: weights [hidden_dim, hidden_dim]

shared_fc2_bias: Vec<f32>

Shared layer 2: bias [hidden_dim]

policy_weight: Vec<Vec<f32>>

Policy head: weights [hidden_dim, action_dim]

policy_bias: Vec<f32>

Policy head: bias [action_dim]

value_weight: Vec<Vec<f32>>

Value head: weights [hidden_dim, 1]

value_bias: Vec<f32>

Value head: bias [1]

Implementations

impl InferenceModel

pub fn save_json<P: AsRef<Path>>(&self, path: P) -> Result<()>

Save model to JSON file

pub fn load_json<P: AsRef<Path>>(path: P) -> Result<Self>

Load model from JSON file

pub fn forward(&self, obs: &[f32]) -> (Vec<f32>, f32)

Forward pass: compute action logits and value

Arguments

• obs - Observation vector [obs_dim]

Returns

• (logits, value) - Action logits [action_dim] and state value (scalar)

pub fn get_action(&self, obs: &[f32]) -> usize

Get action from observation using softmax sampling

Arguments

• obs - Observation vector [obs_dim]

Returns

• Action index

Trait Implementations

impl Clone for InferenceModel

fn clone(&self) -> InferenceModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for InferenceModel

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for InferenceModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for InferenceModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.