Struct opensrdk_linear_algebra::tensor::sparse::SparseTensor
source · pub struct SparseTensor<T = f64>where
T: Number,{ /* private fields */ }
Implementations§
source§impl<T> SparseTensor<T>where
T: Number,
impl<T> SparseTensor<T>where T: Number,
source§impl<T> SparseTensor<T>where
T: Number,
impl<T> SparseTensor<T>where T: Number,
pub fn mul_kronecker_deltas( &self, deltas: &[KroneckerDelta] ) -> Result<Self, TensorError>
source§impl<T> SparseTensor<T>where
T: Number,
impl<T> SparseTensor<T>where T: Number,
pub fn new(sizes: Vec<usize>) -> Self
pub fn from( sizes: Vec<usize>, elems: HashMap<Vec<usize>, T> ) -> Result<Self, TensorError>
pub fn is_same_size(&self, other: &SparseTensor<T>) -> bool
pub fn total_size(&self) -> usize
pub fn not_1dimension_ranks(&self) -> usize
pub fn reduce_1dimension_rank(&self) -> Self
pub fn to_vec(&self) -> Vec<T>
pub fn to_mat(&self) -> Matrix<T>
pub fn elems(&self) -> &HashMap<Vec<usize>, T>
pub fn elems_mut(&mut self) -> &mut HashMap<Vec<usize>, T>
pub fn eject(self) -> (Vec<usize>, HashMap<Vec<usize>, T>)
Trait Implementations§
source§impl<T> Add<&SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Add<&SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
+
operator.source§impl<T> Add<SparseTensor<T>> for &SparseTensor<T>where
T: Number,
impl<T> Add<SparseTensor<T>> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
+
operator.source§impl<T> Add<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Add<SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
+
operator.source§impl<T> Add<T> for SparseTensor<T>where
T: Number,
impl<T> Add<T> for SparseTensor<T>where T: Number,
source§impl<T> AddAssign<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> AddAssign<SparseTensor<T>> for SparseTensor<T>where T: Number,
source§fn add_assign(&mut self, rhs: SparseTensor<T>)
fn add_assign(&mut self, rhs: SparseTensor<T>)
Performs the
+=
operation. Read moresource§impl<T> Clone for SparseTensor<T>where
T: Number + Clone,
impl<T> Clone for SparseTensor<T>where T: Number + Clone,
source§fn clone(&self) -> SparseTensor<T>
fn clone(&self) -> SparseTensor<T>
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl<'de, T> Deserialize<'de> for SparseTensor<T>where
T: Number + Deserialize<'de>,
impl<'de, T> Deserialize<'de> for SparseTensor<T>where T: Number + Deserialize<'de>,
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl<T> Div<&SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Div<&SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
/
operator.source§impl<T> Div<SparseTensor<T>> for &SparseTensor<T>where
T: Number,
impl<T> Div<SparseTensor<T>> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
/
operator.source§impl<T> Div<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Div<SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
/
operator.source§impl<T> Div<T> for SparseTensor<T>where
T: Number,
impl<T> Div<T> for SparseTensor<T>where T: Number,
source§impl<T> DivAssign<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> DivAssign<SparseTensor<T>> for SparseTensor<T>where T: Number,
source§fn div_assign(&mut self, rhs: SparseTensor<T>)
fn div_assign(&mut self, rhs: SparseTensor<T>)
Performs the
/=
operation. Read moresource§impl<T> Mul<&SparseTensor<T>> for KroneckerDeltawhere
T: Number,
impl<T> Mul<&SparseTensor<T>> for KroneckerDeltawhere T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<&SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Mul<&SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<&SparseTensor<T>> for Vec<KroneckerDelta>where
T: Number,
impl<T> Mul<&SparseTensor<T>> for Vec<KroneckerDelta>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<KroneckerDelta> for &SparseTensor<T>where
T: Number,
impl<T> Mul<KroneckerDelta> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<KroneckerDelta> for SparseTensor<T>where
T: Number,
impl<T> Mul<KroneckerDelta> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<SparseTensor<T>> for &SparseTensor<T>where
T: Number,
impl<T> Mul<SparseTensor<T>> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<SparseTensor<T>> for KroneckerDeltawhere
T: Number,
impl<T> Mul<SparseTensor<T>> for KroneckerDeltawhere T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Mul<SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<SparseTensor<T>> for Vec<KroneckerDelta>where
T: Number,
impl<T> Mul<SparseTensor<T>> for Vec<KroneckerDelta>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<T> for SparseTensor<T>where
T: Number,
impl<T> Mul<T> for SparseTensor<T>where T: Number,
source§impl<T> Mul<Vec<KroneckerDelta, Global>> for &SparseTensor<T>where
T: Number,
impl<T> Mul<Vec<KroneckerDelta, Global>> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> Mul<Vec<KroneckerDelta, Global>> for SparseTensor<T>where
T: Number,
impl<T> Mul<Vec<KroneckerDelta, Global>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
*
operator.source§impl<T> MulAssign<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> MulAssign<SparseTensor<T>> for SparseTensor<T>where T: Number,
source§fn mul_assign(&mut self, rhs: SparseTensor<T>)
fn mul_assign(&mut self, rhs: SparseTensor<T>)
Performs the
*=
operation. Read moresource§impl<T> Neg for SparseTensor<T>where
T: Number,
impl<T> Neg for SparseTensor<T>where T: Number,
source§impl<T> PartialEq<SparseTensor<T>> for SparseTensor<T>where
T: Number + PartialEq,
impl<T> PartialEq<SparseTensor<T>> for SparseTensor<T>where T: Number + PartialEq,
source§fn eq(&self, other: &SparseTensor<T>) -> bool
fn eq(&self, other: &SparseTensor<T>) -> bool
This method tests for
self
and other
values to be equal, and is used
by ==
.source§impl<T> Sub<&SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Sub<&SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
-
operator.source§impl<T> Sub<SparseTensor<T>> for &SparseTensor<T>where
T: Number,
impl<T> Sub<SparseTensor<T>> for &SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
-
operator.source§impl<T> Sub<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> Sub<SparseTensor<T>> for SparseTensor<T>where T: Number,
§type Output = SparseTensor<T>
type Output = SparseTensor<T>
The resulting type after applying the
-
operator.source§impl<T> Sub<T> for SparseTensor<T>where
T: Number,
impl<T> Sub<T> for SparseTensor<T>where T: Number,
source§impl<T> SubAssign<SparseTensor<T>> for SparseTensor<T>where
T: Number,
impl<T> SubAssign<SparseTensor<T>> for SparseTensor<T>where T: Number,
source§fn sub_assign(&mut self, rhs: SparseTensor<T>)
fn sub_assign(&mut self, rhs: SparseTensor<T>)
Performs the
-=
operation. Read more