[−][src]Struct polars_arrow_rvsry99dx::ipc::gen::SparseTensor::SparseTensorIndexCOO
EXPERIMENTAL: Data structures for sparse tensors Coordinate (COO) format of sparse tensor index.
COO's index list are represented as a NxM matrix, where N is the number of non-zero values, and M is the number of dimensions of a sparse tensor.
indicesBuffer stores the location and size of the data of this indices matrix. The value type and the stride of the indices matrix is specified in indicesType and indicesStrides fields.
For example, let X be a 2x3x4x5 tensor, and it has the following 6 non-zero values:
X[0, 1, 2, 0] := 1 X[1, 1, 2, 3] := 2 X[0, 2, 1, 0] := 3 X[0, 1, 3, 0] := 4 X[0, 1, 2, 1] := 5 X[1, 2, 0, 4] := 6
In COO format, the index matrix of X is the following 4x6 matrix:
[[0, 0, 0, 0, 1, 1], [1, 1, 1, 2, 1, 2], [2, 2, 3, 1, 2, 0], [0, 1, 0, 0, 3, 4]]
Note that the indices are sorted in lexicographical order.
Fields
_tab: Table<'a>
Implementations
impl<'a> SparseTensorIndexCOO<'a>
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pub fn init_from_table(table: Table<'a>) -> Self
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pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>(
_fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>,
args: &'args SparseTensorIndexCOOArgs<'args>
) -> WIPOffset<SparseTensorIndexCOO<'bldr>>
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_fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>,
args: &'args SparseTensorIndexCOOArgs<'args>
) -> WIPOffset<SparseTensorIndexCOO<'bldr>>
pub const VT_INDICESTYPE: VOffsetT
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pub const VT_INDICESSTRIDES: VOffsetT
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pub const VT_INDICESBUFFER: VOffsetT
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pub fn indicesType(&self) -> Option<Int<'a>>
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The type of values in indicesBuffer
pub fn indicesStrides(&self) -> Option<Vector<'a, i64>>
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Non-negative byte offsets to advance one value cell along each dimension
pub fn indicesBuffer(&self) -> Option<&'a Buffer>
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The location and size of the indices matrix's data
Trait Implementations
impl<'a> Clone for SparseTensorIndexCOO<'a>
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fn clone(&self) -> SparseTensorIndexCOO<'a>
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fn clone_from(&mut self, source: &Self)
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impl<'a> Copy for SparseTensorIndexCOO<'a>
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impl<'a> Debug for SparseTensorIndexCOO<'a>
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impl<'a> Follow<'a> for SparseTensorIndexCOO<'a>
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impl<'a> PartialEq<SparseTensorIndexCOO<'a>> for SparseTensorIndexCOO<'a>
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fn eq(&self, other: &SparseTensorIndexCOO<'a>) -> bool
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fn ne(&self, other: &SparseTensorIndexCOO<'a>) -> bool
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impl<'a> StructuralPartialEq for SparseTensorIndexCOO<'a>
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Auto Trait Implementations
impl<'a> RefUnwindSafe for SparseTensorIndexCOO<'a>
impl<'a> Send for SparseTensorIndexCOO<'a>
impl<'a> Sync for SparseTensorIndexCOO<'a>
impl<'a> Unpin for SparseTensorIndexCOO<'a>
impl<'a> UnwindSafe for SparseTensorIndexCOO<'a>
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,