Module tensor

the tensor module provides various traits and types for handling n-dimensional tensors. this module focuses on establishing a solid foundation for working with n-dimensional tensors.

Modules

iter

this module defines various iterators for the TensorBase

Structs

TensorBase

the TensorBase struct is the base type for all tensors in the library.

Traits

Affine

apply an affine transformation to a tensor; affine transformation is defined as mul * self + add

Inverse

The Inverse trait generically establishes an interface for computing the inverse of a type, regardless of if its a tensor, scalar, or some other compatible type.

MatMul

The MatMul trait defines an interface for matrix multiplication.

MatPow

The MatPow trait defines an interface for computing the exponentiation of a matrix.

NdTensor

The [Tensor] trait extends the RawTensor trait to provide additional functionality for tensors, such as creating tensors from shapes, applying functions, and iterating over elements. It is generic over the element type A and the dimension type `D

Numerical

Numerical is a trait for all numerical types; implements a number of core operations

RawTensor

The RawTensor trait defines the base interface for all tensors,

Scalar

The Scalar trait extends the Numerical trait to include additional mathematical operations for the purpose of reducing the number of overall traits required to complete various machine-learning tasks.

ScalarComplex

Transpose

The Transpose trait generically establishes an interface for transposing a type

Type Aliases

ArcTensor

a type alias for a TensorBase with an owned representation

RawViewMutTensor

a type alias for a TensorBase with an owned representation

RawViewTensor

A type alias for a TensorBase with a raw pointer representation.

Tensor

a type alias for a TensorBase with an owned representation

TensorView

a type alias for a TensorBase with a view representation

TensorViewMut

a type alias for a TensorBase with a mutable view representation