SGD

scirs2_core::array_protocol::grad

Struct SGD

pub struct SGD { /* private fields */ }

Expand description

Stochastic Gradient Descent optimizer.

Implementations§

impl SGD

pub fn new(learningrate: f64, momentum: Option<f64>) -> Self

Create a new SGD optimizer.

pub fn set_learningrate(&mut self, learningrate: f64)

Set the learning rate.

Trait Implementations§

impl Optimizer for SGD

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

Step the optimizer to update variables.

fn zero_grad(&mut self)

Zero all gradients.

fn add_variable(&mut self, var: Variable)

Add a variable to the optimizer.

fn variables(&self) -> &[Variable]

Get all variables managed by the optimizer.

fn variables_mut(&mut self) -> &mut [Variable]

Get mutable reference to variables (for default implementation)

fn accumulate_gradients(&mut self, gradients: &GradientDict) -> CoreResult<()>

Accumulate gradients for momentum-based optimizers

Auto Trait Implementations§

impl Freeze for SGD

impl !RefUnwindSafe for SGD

impl !Send for SGD

impl !Sync for SGD

impl Unpin for SGD

impl !UnwindSafe for SGD

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

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where T: Cast<Dst>,

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Create a new Policy that returns Action::Follow if either self or other returns Action::Follow. Read more

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type Output = T

Should always be Self

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Casts the value.

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