Enum SparseTensorError 

pub enum SparseTensorError {
    InvalidIndicesRank {
        expected: usize,
        actual: usize,
    },
    InvalidIndicesDType {
        actual: DType,
    },
    DeviceMismatch {
        expected: Device,
        actual: Device,
    },
    SparseDimMismatch {
        indices_sparse_dim: usize,
        expected: usize,
    },
    NnzMismatch {
        indices_nnz: usize,
        values_nnz: usize,
    },
    InvalidValuesShape {
        expected: Vec<usize>,
        actual: Vec<usize>,
    },
    IndexOutOfBounds {
        dim: usize,
        index: i64,
        size: usize,
    },
    NegativeIndex {
        dim: usize,
        index: i64,
    },
    InvalidCrowIndicesLen {
        expected: usize,
        actual: usize,
    },
    InvalidColIndicesLen {
        expected: usize,
        actual: usize,
    },
    NonMonotonicCrowIndices {
        row: usize,
        prev: i64,
        curr: i64,
    },
    InvalidCrowIndexValue {
        index: usize,
        value: i64,
    },
    ColIndexOutOfBounds {
        index: i64,
        ncols: usize,
    },
    DuplicateCsrColumn {
        row: usize,
        col: i64,
    },
    DuplicateCooIndex {
        position: usize,
        coord: Vec<i64>,
    },
    UnsortedCooIndex {
        position: usize,
        previous: Vec<i64>,
        current: Vec<i64>,
    },
    DenseTensor(DenseTensorError),
    UnsupportedRank {
        rank: usize,
    },
}

Error type for sparse tensor operations.

Variants

InvalidIndicesRank

Indices tensor has wrong rank (expected 2 for COO).

Fields

expected: usize

actual: usize

InvalidIndicesDType

Indices tensor has wrong dtype (must be I64).

Fields

actual: DType

DeviceMismatch

Indices tensor is on a different device than values.

Fields

expected: Device

actual: Device

SparseDimMismatch

Indices sparse_dim doesn’t match the dense shape.

Fields

indices_sparse_dim: usize

expected: usize

NnzMismatch

Number of non-zero entries doesn’t match between indices and values.

Fields

indices_nnz: usize

values_nnz: usize

InvalidValuesShape

Values tensor shape doesn’t match expected [nnz, *dense_dims].

Fields

expected: Vec<usize>

actual: Vec<usize>

IndexOutOfBounds

Index out of bounds for the dense shape.

Fields

dim: usize

index: i64

size: usize

NegativeIndex

Negative index in indices tensor.

Fields

dim: usize

index: i64

InvalidCrowIndicesLen

CSR crow_indices has wrong length (expected nrows + 1).

Fields

expected: usize

actual: usize

InvalidColIndicesLen

CSR col_indices has wrong length (expected nnz).

Fields

expected: usize

actual: usize

NonMonotonicCrowIndices

CSR crow_indices values are not monotonically increasing.

Fields

row: usize

prev: i64

curr: i64

InvalidCrowIndexValue

CSR crow_indices contains an invalid value.

Fields

index: usize

value: i64

ColIndexOutOfBounds

CSR column index out of bounds.

Fields

index: i64

ncols: usize

DuplicateCsrColumn

CSR row contains the same column index more than once.

Fields

row: usize

col: i64

DuplicateCooIndex

A coalesced COO tensor contains duplicate coordinates.

Fields

position: usize

coord: Vec<i64>

UnsortedCooIndex

A coalesced COO tensor contains coordinates out of lexicographic order.

Fields

position: usize

previous: Vec<i64>

current: Vec<i64>

DenseTensor(DenseTensorError)

Dense tensor error during conversion.

UnsupportedRank

Only 2D sparse CSR tensors are supported.

Fields

rank: usize

Trait Implementations

impl Clone for SparseTensorError

fn clone(&self) -> SparseTensorError

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseTensorError

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

Formats the value using the given formatter.

impl Display for SparseTensorError

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

Formats the value using the given formatter.

impl Eq for SparseTensorError

impl Error for SparseTensorError

fn source(&self) -> Option<&(dyn Error + 'static)>

Returns the lower-level source of this error, if any.

fn description(&self) -> &str

👎Deprecated since 1.42.0:

use the Display impl or to_string()

fn cause(&self) -> Option<&dyn Error>

👎Deprecated since 1.33.0:

replaced by Error::source, which can support downcasting

fn provide<'a>(&'a self, request: &mut Request<'a>)

🔬This is a nightly-only experimental API. (error_generic_member_access)

Provides type-based access to context intended for error reports.

impl From<DenseTensorError> for SparseTensorError

fn from(value: DenseTensorError) -> Self

Converts to this type from the input type.

impl PartialEq for SparseTensorError

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for SparseTensorError