Struct SparseGradient 

pub struct SparseGradient {
    pub indices: Vec<usize>,
    pub values: Vec<f32>,
    pub shape: Vec<usize>,
    pub metadata: TensorMetadata,
}

Sparse gradient representation

Fields

indices: Vec<usize>

Indices of non-zero elements (flattened)

values: Vec<f32>

Non-zero gradient values

shape: Vec<usize>

Original tensor shape

metadata: TensorMetadata

Metadata

Implementations

impl SparseGradient

pub fn new(indices: Vec<usize>, values: Vec<f32>, shape: Vec<usize>) -> Self

Create a new sparse gradient

pub fn nnz(&self) -> usize

Get the number of non-zero elements

pub fn total_elements(&self) -> usize

Get the total number of elements

pub fn sparsity_ratio(&self) -> f32

Get the sparsity ratio (0.0 = dense, 1.0 = all zeros)

pub fn to_dense(&self) -> Vec<f32>

Convert to dense representation

pub fn verify_shape(&self) -> Result<(), GradientError>

Verify shape consistency

Trait Implementations

impl Clone for SparseGradient

fn clone(&self) -> SparseGradient

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseGradient

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SparseGradient

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SparseGradient

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

where __S: Serializer,

Serialize this value into the given Serde serializer.