Enum MuonMatrixLayout 

pub enum MuonMatrixLayout {
    AsStored,
    InputOutput,
}

Logical orientation used ONLY for shape-based learning-rate scaling. The tensor itself is not reshaped and its update keeps the same geometry.

Variants

AsStored

Interpret [rows, columns] as [outputs, inputs]; legacy behavior.

InputOutput

Tensor is [inputs, outputs], as in ruda-nn Linear. Use the reversed aspect ratio for Original LR scaling (the RMS rule is symmetric).

Trait Implementations

impl Clone for MuonMatrixLayout

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for MuonMatrixLayout

impl Debug for MuonMatrixLayout

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

Formats the value using the given formatter.

impl Default for MuonMatrixLayout

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MuonMatrixLayout

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for MuonMatrixLayout

impl PartialEq for MuonMatrixLayout

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for MuonMatrixLayout

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 MuonMatrixLayout