Struct tc_tensor::DenseTensor

impl<FD, FS, D, T, B> DenseTensor<FD, FS, D, T, B>

pub fn into_inner(self) -> B

Consume this DenseTensor handle and return its underlying DenseAccessor

impl<FD, FS, D, T, B> DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

pub fn schema(&self) -> Schema

Access the schema of this DenseTensor

impl<FD, FS, D, T> DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,

pub fn constant<S>(
 file: FD,
 txn_id: TxnId,
 shape: S,
 value: Number
) -> TCResult<Self>where
 Shape: From<S>,

Create a new DenseTensor filled with the given value.

pub async fn range<S>(
 file: FD,
 txn_id: TxnId,
 shape: S,
 start: Number,
 stop: Number
) -> TCResult<Self>where
 Shape: From<S>,

Create a new DenseTensor filled with a range evenly distributed between start and stop.

impl<FD, FS, D, T> DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 D::Write: DirCreateFile<FD>,
 D::Store: From<FD>,

pub async fn tile(
 txn: T,
 tensor: DenseTensor<FD, FS, D, T, DenseAccessor<FD, FS, D, T>>,
 multiples: Vec<u64>
) -> TCResult<Self>

Create a new DenseTensor by tiling this one according to the given multiples.

Trait Implementations§

impl<FD: Clone, FS: Clone, D: Clone, T: Clone, B: Clone> Clone for DenseTensor<FD, FS, D, T, B>

fn clone(&self) -> DenseTensor<FD, FS, D, T, B>

Returns a copy of the value. Read more

1.0.0 · source§

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

Performs copy-assignment from source. Read more

impl<FD, FS, D, T, B> CopyFrom<D, DenseTensor<FD, FS, D, T, B>> for DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Store: From<FD>,

fn copy_from<'life0, 'async_trait>(
 txn: &'life0 T,
 store: D::Store,
 instance: DenseTensor<FD, FS, D, T, B>
) -> Pin<Box<dyn Future<Output = TCResult<Self>> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,

Copy a new instance of Self from an existing instance.

impl<FD, FS, D, T, B> Display for DenseTensor<FD, FS, D, T, B>where
B: TensorAccess,

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

Formats the value using the given formatter. Read more

impl<FD, FS, D, T, B> From for DenseTensor<FD, FS, D, T, B>

fn from(blocks: B) -> Self

Converts to this type from the input type.

impl<FD, FS, D, T, B> From<DenseTensor<FD, FS, D, T, B>> for Tensor<FD, FS, D, T>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

fn from(dense: DenseTensor<FD, FS, D, T, B>) -> Self

Converts to this type from the input type.

impl<FD, FS, D, T> FromStream for DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 D::Write: DirCreateFile<FD>,

type Context = T

The decoding context of this type, useful in situations where the stream to be decoded may be too large to hold in main memory. Read more

fn from_stream<'life0, 'async_trait, De>(
 txn: T,
 decoder: &'life0 mut De
) -> Pin<Box<dyn Future<Output = Result<Self, De::Error>> + Send + 'async_trait>>where
 De: 'async_trait + Decoder,
 Self: 'async_trait,
 'life0: 'async_trait,

Parse this value using the given Decoder.

impl<FD, FS, D, T, B> Instance for DenseTensor<FD, FS, D, T, B>where
Self: Send + Sync,

type Class = TensorType

The Class type of this instance

fn class(&self) -> Self::Class

Returns the [Class] of this instance.

impl<'en, FD, FS, D, T, B> IntoView<'en, D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction which this state supports

type View = DenseTensorView<'en>

The type of encodable view returned by into_view

fn into_view<'async_trait>(
 self,
 txn: T
) -> Pin<Box<dyn Future<Output = TCResult<DenseTensorView<'en>>> + Send + 'async_trait>>where
 Self: 'async_trait,

Return a View which can be encoded with en::IntoStream.

impl<FD, FS, D, T> Persist<D> for DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 D::Store: From<FD>,

type Txn = T

type Schema = Schema

fn create(txn_id: TxnId, schema: Self::Schema, store: D::Store) -> TCResult<Self>

Create a new instance of Self from an empty Store.

fn load(txn_id: TxnId, schema: Self::Schema, store: D::Store) -> TCResult<Self>

Load a saved instance of Self from persistent storage. Should only be invoked at startup time.

fn dir(&self) -> FD::Inner

Access the filesystem directory in which stores this persistent state.

fn load_or_create(
 txn_id: TxnId,
 schema: Self::Schema,
 store: <D as Dir>::Store
) -> Result<Self, TCError>

Load a saved instance of Self from persistent storage if present, or create a new one.

impl<FD, FS, D, T> Restore<D> for DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 D::Store: From<FD>,

fn restore<'life0, 'life1, 'async_trait>(
 &'life0 self,
 txn_id: TxnId,
 backup: &'life1 Self
) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,
 'life1: 'async_trait,

Restore this persistent state from a backup.

impl<FD, FS, D, T, B> TensorAccess for DenseTensor<FD, FS, D, T, B>where
B: TensorAccess,

fn dtype(&self) -> NumberType

The datatype of this Tensor

fn ndim(&self) -> usize

The number of dimensions of this Tensor

fn shape(&self) -> &Shape

The shape of this Tensor

fn size(&self) -> u64

The number of elements in this Tensor

impl<FD, FS, D, T, B, O> TensorBoolean<DenseTensor<FD, FS, D, T, O>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 O: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result type of a boolean operation.

type LeftCombine = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result type of a boolean operation which may ignore right-hand values.

fn and(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Logical and

fn or(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Logical or

fn xor(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Logical xor

impl<FD, FS, D, T, B> TensorBoolean<Tensor<FD, FS, D, T>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = Tensor<FD, FS, D, T>

The result type of a boolean operation.

type LeftCombine = Tensor<FD, FS, D, T>

The result type of a boolean operation which may ignore right-hand values.

fn and(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Logical and

fn or(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Logical or

fn xor(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Logical xor

impl<FD, FS, D, T, B> TensorBooleanConst for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = DenseTensor<FD, FS, D, T, BlockListConst<FD, FS, D, T, B>>

The return type of a boolean operation.

type DenseCombine = DenseTensor<FD, FS, D, T, BlockListConst<FD, FS, D, T, B>>

The return type of a boolean operation with a result expected to be dense.

fn and_const(self, other: Number) -> TCResult<Self::Combine>

Logical and

fn or_const(self, other: Number) -> TCResult<Self::Combine>

Logical or

fn xor_const(self, other: Number) -> TCResult<Self::Combine>

Logical xor

impl<FD, FS, D, T, B, O> TensorCompare<DenseTensor<FD, FS, D, T, O>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 O: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Compare = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result of a comparison operation

type Dense = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result of a comparison operation which can only return a dense Tensor

fn eq(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Dense>

Element-wise equality

fn gt(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Compare>

Element-wise greater-than

fn gte(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Dense>

Element-wise greater-or-equal

fn lt(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Compare>

Element-wise less-than

fn lte(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Dense>

Element-wise less-or-equal

fn ne(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Compare>

Element-wise not-equal

impl<FD, FS, D, T, B> TensorCompare<Tensor<FD, FS, D, T>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Compare = Tensor<FD, FS, D, T>

The result of a comparison operation

type Dense = Tensor<FD, FS, D, T>

The result of a comparison operation which can only return a dense Tensor

fn eq(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Dense>

Element-wise equality

fn gt(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Compare>

Element-wise greater-than

fn gte(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Dense>

Element-wise greater-or-equal

fn lt(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Compare>

Element-wise less-than

fn lte(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Dense>

Element-wise less-or-equal

fn ne(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Compare>

Element-wise not-equal

impl<FD, FS, D, T, B> TensorCompareConst for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Compare = DenseTensor<FD, FS, D, T, BlockListConst<FD, FS, D, T, B>>

The result of a comparison operation

fn eq_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise equality

fn gt_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise greater-than

fn gte_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise greater-or-equal

fn lt_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise less-than

fn lte_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise less-or-equal

fn ne_const(self, other: Number) -> TCResult<Self::Compare>

Element-wise not-equal

impl<FD, FS, D, T, B> TensorDiagonal<D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseWrite<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

type Diagonal = DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>

The type of Tensor returned by diagonal

fn diagonal<'async_trait>(
 self,
 txn: Self::Txn
) -> Pin<Box<dyn Future<Output = TCResult<Self::Diagonal>> + Send + 'async_trait>>where
 Self: 'async_trait,

impl<FD, FS, D, T, B> TensorDualIO<D, DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseWrite<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

fn write<'async_trait>(
 self,
 txn: T,
 bounds: Bounds,
 other: DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>
) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>where
 Self: 'async_trait,

Overwrite the slice of this Tensor given by Bounds with the given value.

impl<FD, FS, D, T, B> TensorDualIO<D, Tensor<FD, FS, D, T>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner> + TryFrom<D::Store, Error = TCError>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseWrite<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,
 D::Store: From<FD>,

type Txn = T

The type of Transaction to expect

fn write<'async_trait>(
 self,
 txn: T,
 bounds: Bounds,
 other: Tensor<FD, FS, D, T>
) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>where
 Self: 'async_trait,

Overwrite the slice of this Tensor given by Bounds with the given value.

impl<FD, FS, D, T, B> TensorIO<D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseWrite<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

fn read_value<'async_trait>(
 self,
 txn: Self::Txn,
 coord: Coord
) -> Pin<Box<dyn Future<Output = TCResult<Number>> + Send + 'async_trait>>where
 Self: 'async_trait,

Read a single value from this Tensor.

fn write_value<'life0, 'async_trait>(
 &'life0 self,
 txn_id: TxnId,
 bounds: Bounds,
 value: Number
) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,

Write a single value to the slice of this Tensor with the given Bounds.

fn write_value_at<'life0, 'async_trait>(
 &'life0 self,
 txn_id: TxnId,
 coord: Coord,
 value: Number
) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,

Overwrite a single element of this Tensor.

impl<FD, FS, D, T, B> TensorIndex<D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseWrite<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

type Index = DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>

The type of Tensor returned by argmax.

fn argmax<'async_trait>(
 self,
 txn: Self::Txn,
 axis: usize
) -> Pin<Box<dyn Future<Output = TCResult<Self::Index>> + Send + 'async_trait>>where
 Self: 'async_trait,

Return the indices of the maximum values in this Tensor along the given axis.

fn argmax_all<'async_trait>(
 self,
 txn: Self::Txn
) -> Pin<Box<dyn Future<Output = TCResult<u64>> + Send + 'async_trait>>where
 Self: 'async_trait,

Return the offset of the maximum value in this Tensor.

impl<FD, FS, D, T, B> TensorInstance for DenseTensor<FD, FS, D, T, B>

type Dense = DenseTensor<FD, FS, D, T, B>

A dense representation of this Tensor

type Sparse = SparseTensor<FD, FS, D, T, DenseToSparse<FD, FS, D, T, B>>

A sparse representation of this Tensor

fn into_dense(self) -> Self::Dense

Return a dense representation of this Tensor.

fn into_sparse(self) -> Self::Sparse

Return a sparse representation of this Tensor.

impl<FD, FS, D, T, B, O> TensorMath<DenseTensor<FD, FS, D, T, O>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 O: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result type of a math operation

type LeftCombine = DenseTensor<FD, FS, D, T, BlockListCombine<FD, FS, D, T, B, O>>

The result type of a math operation which may ignore right-hand-side values

fn add(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Add two tensors together.

fn div(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Divide self by other.

fn log(self, base: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::LeftCombine>

Element-wise logarithm of self with respect to the given base.

fn mul(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Multiply two tensors together.

fn pow(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Raise self to the power of other.

fn sub(self, other: DenseTensor<FD, FS, D, T, O>) -> TCResult<Self::Combine>

Subtract other from self.

impl<FD, FS, D, T, B> TensorMath<Tensor<FD, FS, D, T>> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node, Inner = D::Inner>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = Tensor<FD, FS, D, T>

The result type of a math operation

type LeftCombine = Tensor<FD, FS, D, T>

The result type of a math operation which may ignore right-hand-side values

fn add(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Add two tensors together.

fn div(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Divide self by other.

fn log(self, base: Tensor<FD, FS, D, T>) -> TCResult<Self::LeftCombine>

Element-wise logarithm of self with respect to the given base.

fn mul(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Multiply two tensors together.

fn pow(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Raise self to the power of other.

fn sub(self, other: Tensor<FD, FS, D, T>) -> TCResult<Self::Combine>

Subtract other from self.

impl<FD, FS, D, T, B> TensorMathConst for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Combine = DenseTensor<FD, FS, D, T, BlockListConst<FD, FS, D, T, B>>

The return type of a math operation

type DenseCombine = DenseTensor<FD, FS, D, T, BlockListConst<FD, FS, D, T, B>>

The return type of a math operation with a result expected to be dense

fn add_const(self, other: Number) -> TCResult<Self::Combine>

Add a constant to this tensor

fn div_const(self, other: Number) -> TCResult<Self::Combine>

Divide self by other.

fn log_const(self, base: Number) -> TCResult<Self::Combine>

Element-wise logarithm

fn mul_const(self, other: Number) -> TCResult<Self::Combine>

Multiply self by other.

fn pow_const(self, other: Number) -> TCResult<Self::Combine>

Raise self to the power other.

fn sub_const(self, other: Number) -> TCResult<Self::Combine>

Subtract other from self.

impl<FD, FS, D, T> TensorPersist for DenseTensor<FD, FS, D, T, DenseAccessor<FD, FS, D, T>>

impl<FD, FS, D, T, B> TensorReduce<D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

type Reduce = DenseTensor<FD, FS, D, T, BlockListReduce<FD, FS, D, T, B>>

The result type of a reduce operation

fn max(self, axis: usize, keepdims: bool) -> TCResult<Self::Reduce>

Return the maximum of this Tensor along the given axis.

fn max_all(&self, txn: Self::Txn) -> TCBoxTryFuture<'_, Number>

Return the maximum element in this Tensor.

fn min(self, axis: usize, keepdims: bool) -> TCResult<Self::Reduce>

Return the minimum of this Tensor along the given axis.

fn min_all(&self, txn: Self::Txn) -> TCBoxTryFuture<'_, Number>

Return the minimum element in this Tensor.

fn product(self, axis: usize, keepdims: bool) -> TCResult<Self::Reduce>

Return the product of this Tensor along the given axis.

fn product_all(&self, txn: T) -> TCBoxTryFuture<'_, Number>

Return the product of all elements in this Tensor.

fn sum(self, axis: usize, keepdims: bool) -> TCResult<Self::Reduce>

Return the sum of this Tensor along the given axis.

fn sum_all(&self, txn: T) -> TCBoxTryFuture<'_, Number>

Return the sum of all elements in this Tensor.

impl<FD, FS, D, T, B> TensorTransform for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Broadcast = DenseTensor<FD, FS, D, T, DenseAccessor<FD, FS, D, T>>

A broadcast Tensor

type Cast = DenseTensor<FD, FS, D, T, BlockListCast<FD, FS, D, T, B>>

A type-cast Tensor

type Expand = DenseTensor<FD, FS, D, T, BlockListExpand<FD, FS, D, T, B>>

A Tensor with an expanded dimension

type Flip = DenseTensor<FD, FS, D, T, BlockListFlip<FD, FS, D, T, B>>

A Tensor flipped around one axis

type Reshape = DenseTensor<FD, FS, D, T, BlockListReshape<FD, FS, D, T, B>>

A reshaped Tensor

type Slice = DenseTensor<FD, FS, D, T, >::Slice>

A Tensor slice

type Transpose = DenseTensor<FD, FS, D, T, >::Transpose>

A transposed Tensor

fn broadcast(self, shape: Shape) -> TCResult<Self::Broadcast>

Broadcast this Tensor to the given shape.

fn cast_into(self, dtype: NumberType) -> TCResult<Self::Cast>

Cast this Tensor to the given dtype.

fn expand_dims(self, axis: usize) -> TCResult<Self::Expand>

Insert a new dimension of size 1 at the given axis.

fn flip(self, axis: usize) -> TCResult<Self::Flip>

Flip this Tensor around the given axis.

fn reshape(self, shape: Shape) -> TCResult<Self::Reshape>

Change the shape of this Tensor.

fn slice(self, bounds: Bounds) -> TCResult<Self::Slice>

Return a slice of this Tensor with the given bounds.

fn transpose(self, permutation: Option<Vec<usize>>) -> TCResult<Self::Transpose>

Transpose this Tensor by reordering its axes according to the given permutation. If no permutation is given, the axes will be reversed.

impl<FD, FS, D, T, B> TensorTrig for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Unary = DenseTensor<FD, FS, D, T, BlockListUnary<FD, FS, D, T, B>>

The return type of a unary operation

fn asin(&self) -> TCResult<Self::Unary>

Element-wise arcsine

fn sin(&self) -> TCResult<Self::Unary>

Element-wise sine

fn sinh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic sine

fn asinh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic arcsine

fn acos(&self) -> TCResult<Self::Unary>

Element-wise arccosine

fn cos(&self) -> TCResult<Self::Unary>

Element-wise cosine

fn cosh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic cosine

fn acosh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic arccosine

fn atan(&self) -> TCResult<Self::Unary>

Element-wise arctangent

fn tan(&self) -> TCResult<Self::Unary>

Element-wise tangent

fn tanh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic tangent

fn atanh(&self) -> TCResult<Self::Unary>

Element-wise hyperbolic arctangent

impl<FD, FS, D, T, B> TensorUnary<D> for DenseTensor<FD, FS, D, T, B>where
 FD: File<Key = u64, Block = Array, Inner = D::Inner>,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,
 B: DenseAccess<FD, FS, D, T>,
 D::Write: DirCreateFile<FD>,

type Txn = T

The type of Transaction to expect

type Unary = DenseTensor<FD, FS, D, T, BlockListUnary<FD, FS, D, T, B>>

The return type of a unary operation

fn abs(&self) -> TCResult<Self::Unary>

Element-wise absolute value

fn exp(&self) -> TCResult<Self::Unary>

Element-wise exponentiation

fn ln(&self) -> TCResult<Self::Unary>

Element-wise natural logarithm

fn round(&self) -> TCResult<Self::Unary>

Element-wise round to the nearest integer

fn all<'async_trait>(
 self,
 txn: T
) -> Pin<Box<dyn Future<Output = TCResult<bool>> + Send + 'async_trait>>where
 Self: 'async_trait,

Return true if all elements in this Tensor are nonzero.

fn any<'async_trait>(
 self,
 txn: T
) -> Pin<Box<dyn Future<Output = TCResult<bool>> + Send + 'async_trait>>where
 Self: 'async_trait,

Return true if any element in this Tensor is nonzero.

fn not(&self) -> TCResult<Self::Unary>

Element-wise logical not

impl<FD, FS, D, T> Transact for DenseTensor<FD, FS, D, T, BlockListFile<FD, FS, D, T>>where
 FD: File<Key = u64, Block = Array> + Transact,
 FS: File<Key = NodeId, Block = Node>,
 D: Dir,
 T: Transaction<D>,

type Commit = <BlockListFile<FD, FS, D, T> as Transact>::Commit

A guard which blocks concurrent commits

fn commit<'life0, 'async_trait>(
 &'life0 self,
 txn_id: TxnId
) -> Pin<Box<dyn Future<Output = Self::Commit> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,

Commit this transaction.

fn rollback<'life0, 'life1, 'async_trait>(
 &'life0 self,
 txn_id: &'life1 TxnId
) -> Pin<Box<dyn Future<Output = ()> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,
 'life1: 'async_trait,

Roll back this transaction.

fn finalize<'life0, 'life1, 'async_trait>(
 &'life0 self,
 txn_id: &'life1 TxnId
) -> Pin<Box<dyn Future<Output = ()> + Send + 'async_trait>>where
 Self: 'async_trait,
 'life0: 'async_trait,
 'life1: 'async_trait,

Delete any version data specific to this transaction.

Auto Trait Implementations§

impl<FD, FS, D, T, B> RefUnwindSafe for DenseTensor<FD, FS, D, T, B>where
 B: RefUnwindSafe,
 D: RefUnwindSafe,
 FD: RefUnwindSafe,
 FS: RefUnwindSafe,
 T: RefUnwindSafe,

impl<FD, FS, D, T, B> Send for DenseTensor<FD, FS, D, T, B>where
 B: Send,
 D: Send,
 FD: Send,
 FS: Send,
 T: Send,

impl<FD, FS, D, T, B> Sync for DenseTensor<FD, FS, D, T, B>where
 B: Sync,
 D: Sync,
 FD: Sync,
 FS: Sync,
 T: Sync,

impl<FD, FS, D, T, B> Unpin for DenseTensor<FD, FS, D, T, B>where
 B: Unpin,
 D: Unpin,
 FD: Unpin,
 FS: Unpin,
 T: Unpin,

impl<FD, FS, D, T, B> UnwindSafe for DenseTensor<FD, FS, D, T, B>where
 B: UnwindSafe,
 D: UnwindSafe,
 FD: UnwindSafe,
 FS: UnwindSafe,
 T: UnwindSafe,

Blanket Implementations§

impl<T> Any for Twhere
T: 'static + ?Sized,

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

impl<T> Borrow<T> for Twhere
T: ?Sized,

const: unstable · source§

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

impl<T> BorrowMut<T> for Twhere
T: ?Sized,

const: unstable · source§

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

impl<F, T> CastFrom<F> for Twhere
T: From<F>,

fn cast_from(f: F) -> T

Cast an instance of T into an instance of Self.

impl<T, F> CastInto<F> for Twhere
F: CastFrom<T>,

fn cast_into(self) -> F

Cast an instance of Self into an instance of T.

impl<T> From<!> for T

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fn from(t: !) -> T

Converts to this type from the input type.

impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

impl<T, U> Into for Twhere
U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

impl<F> Match for F

fn matches<T>(&self) -> boolwhere
T: TryCastFrom<Self>,

Returns true if self can be cast into the target type T.

impl<T> Same<T> for T

type Output = T

Should always be Self

impl<T> ToOwned for Twhere
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more

impl<T> ToString for Twhere
T: Display + ?Sized,

default fn to_string(&self) -> String

Converts the given value to a String. Read more

impl<F, T> TryCastFrom<F> for Twhere
T: CastFrom<F>,

fn can_cast_from(_: &F) -> bool

Test if value can be cast into Self.

fn opt_cast_from(f: F) -> Option<T>

Returns Some(Self) if the source value can be cast into Self, otherwise None.

fn try_cast_from<Err, OnErr>(value: T, on_err: OnErr) -> Result<Self, Err>where
OnErr: FnOnce(&T) -> Err,

Returns Ok(Self) if the source value can be cast into Self, otherwise calls on_err.

impl<F, T> TryCastInto<T> for Fwhere
T: TryCastFrom<F>,

fn can_cast_into(&self) -> bool

Test if self can be cast into T.

fn opt_cast_into(self) -> Option<T>

Returns Some(T) if self can be cast into T, otherwise None.

fn try_cast_into<Err, OnErr>(self, on_err: OnErr) -> Result<T, Err>where
OnErr: FnOnce(&Self) -> Err,

Returns Ok(T) if self can be cast into T, otherwise calls on_err.

impl<T, U> TryFrom for Twhere
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

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fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

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fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

impl<V, T> VZip<V> for Twhere
V: MultiLane<T>,