Struct GradientFlowConfig 

pub struct GradientFlowConfig {
    pub classical_to_quantum: bool,
    pub quantum_to_classical: bool,
    pub gradient_scaling: f64,
    pub enable_clipping: bool,
    pub accumulation_steps: usize,
}

Gradient flow configuration for hybrid training

Fields

classical_to_quantum: bool

Enable gradient flow from classical to quantum

quantum_to_classical: bool

Enable gradient flow from quantum to classical

gradient_scaling: f64

Gradient scaling factor

enable_clipping: bool

Enable gradient clipping

accumulation_steps: usize

Gradient accumulation steps

Trait Implementations

impl Clone for GradientFlowConfig

fn clone(&self) -> GradientFlowConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GradientFlowConfig

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

Formats the value using the given formatter.

impl Default for GradientFlowConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GradientFlowConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GradientFlowConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.