Struct MixedPrecisionStats 

pub struct MixedPrecisionStats {
    pub total_steps: usize,
    pub overflow_steps: usize,
    pub successful_steps: usize,
}

Statistics for mixed precision training.

Fields

total_steps: usize

Total training steps attempted

overflow_steps: usize

Steps with gradient overflow

successful_steps: usize

Successful optimizer steps

Implementations

impl MixedPrecisionStats

pub fn overflow_rate(&self) -> f32

Calculates overflow rate.

pub fn success_rate(&self) -> f32

Calculates success rate.

Trait Implementations

impl Clone for MixedPrecisionStats

fn clone(&self) -> MixedPrecisionStats

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MixedPrecisionStats

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

Formats the value using the given formatter.

impl Default for MixedPrecisionStats

fn default() -> MixedPrecisionStats

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MixedPrecisionStats

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MixedPrecisionStats

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

where __S: Serializer,

Serialize this value into the given Serde serializer.