Enum TensorMode 

pub enum TensorMode {
    TensorTrain(TTConfig),
}

Tensor compression mode for vectors and embeddings.

Variants

TensorTrain(TTConfig)

Tensor Train decomposition (recommended for 1024+ dimensions). Achieves 10-20x compression with <1% error.

Implementations

impl TensorMode

pub fn tensor_train(dim: usize) -> Self

Create TT mode optimized for the given dimension.

Panics

Panics if dimension is 0.

pub fn try_tensor_train(dim: usize) -> Result<Self, TTError>

Create TT mode, returning error for invalid dimension.

Errors

Returns error if dimension is 0 or has no valid factorization.

pub fn high_compression(dim: usize) -> Self

High compression TT preset.

Panics

Panics if dimension is 0.

pub fn high_accuracy(dim: usize) -> Self

High accuracy TT preset.

Panics

Panics if dimension is 0.

Trait Implementations

impl Clone for TensorMode

fn clone(&self) -> TensorMode

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TensorMode

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TensorMode

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for TensorMode

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

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 TensorMode