Struct AdaGrad 

pub struct AdaGrad { /* private fields */ }

AdaGrad optimizer

Implementations

impl AdaGrad

pub fn new( params: Vec<Arc<RwLock<Tensor>>>, lr: Option<f32>, lr_decay: Option<f32>, weight_decay: Option<f32>, initial_accumulator_value: Option<f32>, eps: Option<f32>, ) -> Self

Create a new AdaGrad optimizer

Trait Implementations

impl Optimizer for AdaGrad

fn step(&mut self) -> OptimizerResult<()>

Perform a single optimization step

fn zero_grad(&mut self)

Zero all gradients

fn get_lr(&self) -> Vec<f32>

Get the current learning rate

fn set_lr(&mut self, lr: f32)

Set one learning rate for every parameter group (broadcast).

fn set_lrs(&mut self, lrs: &[f32])

Set the learning rate of each parameter group individually.

fn add_param_group( &mut self, params: Vec<Arc<RwLock<Tensor>>>, options: HashMap<String, f32>, )

Add a parameter group

fn parameters(&self) -> Vec<Arc<RwLock<Tensor>>>

Get the parameter tensors managed by this optimizer.

fn state_dict(&self) -> OptimizerResult<OptimizerState>

Get state dict for serialization

fn load_state_dict(&mut self, state: OptimizerState) -> OptimizerResult<()>

Load state dict