Enum GradState 

pub enum GradState {
    Trainable,
    Frozen,
    Differentiable,
    Severed,
    LayoutDependent,
    Unknown,
}

Gradient / trainability state attached to an expression node.

Variants

Trainable

A leaf that is expected to receive gradients (e.g. Var / trainable parameter).

Frozen

A leaf that must not receive gradients (frozen weight, constant).

Differentiable

An intermediate on a differentiable path.

Severed

Gradient flow was cut (detach, known apply_op*_no_bwd, …).

LayoutDependent

Gradient exists only under layout assumptions we cannot prove.

Unknown

Not enough information.

Trait Implementations

impl Clone for GradState

fn clone(&self) -> GradState

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for GradState

impl Debug for GradState

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

Formats the value using the given formatter.

impl Eq for GradState

impl Hash for GradState

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for GradState

fn eq(&self, other: &GradState) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for GradState

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 GradState