Enum LossScalingStrategy 

pub enum LossScalingStrategy {
    None,
    Static {
        scale: f64,
    },
    Dynamic {
        init_scale: f64,
        growth_factor: f64,
        backoff_factor: f64,
        growth_interval: usize,
    },
}

Loss scaling strategy for mixed precision training.

Variants

None

No loss scaling

Static

Static loss scaling with a fixed scale factor

Fields

scale: f64

Dynamic

Dynamic loss scaling with automatic adjustment

Fields

init_scale: f64

Initial scale factor

growth_factor: f64

Growth factor when no overflow detected

backoff_factor: f64

Backoff factor when overflow detected

growth_interval: usize

Number of successful steps before growing scale

Trait Implementations

impl Clone for LossScalingStrategy

fn clone(&self) -> LossScalingStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LossScalingStrategy

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

Formats the value using the given formatter.

impl Default for LossScalingStrategy

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LossScalingStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LossScalingStrategy

fn eq(&self, other: &LossScalingStrategy) -> 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 LossScalingStrategy

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for LossScalingStrategy