Struct Tensor 

pub struct Tensor<T> { /* private fields */ }

Intended to be generic over various arthimetic types, currently only support f64. Tensor are contructed using either dense or sparse representations. In addition to the represenetation, a tensor also has a shape, which is a list of indices that define the dimensions of the tensor. Tensor data can be loaded from a file, can be filled with a constant value, or can be randomly initialized. Note that the eDSL is not pure rust, so this documentation serves to capture the functionality as best as possible with in the bounds of the Rust language

Implementations

impl<T: Default> Tensor<T>

pub fn dense(_index_list: &[Index]) -> Tensor<T>

creates a dense representation of a tensor with shape defined by the array of indicies

pub fn csr(_index_list: &[Index]) -> Tensor<T>

creates a csr representation of a tensor with shape defined by the array of indicies

pub fn dcsr(_index_list: &[Index]) -> Tensor<T>

creates a dcsr representation of a tensor with shape defined by the array of indicies

pub fn coo(_index_list: &[Index]) -> Tensor<T>

creates a coo representation of a tensor with shape defined by the array of indicies

pub fn csf(_index_list: &[Index]) -> Tensor<T>

creates a csf representation of a tensor with shape defined by the array of indicies

pub fn fill(&mut self, _val: T)

populate a tensor with a constant value. Currently only valid for dense tensors

pub fn fill_from_file(&mut self, _filename: &str)

load a tensor from a file. Currently only valid for sparse tensors

pub fn random(&mut self)

randomly initialize a tensor. Currently only valid for dense tensors

pub fn transpose(&self) -> Tensor<T>

return the transpose of the tensor

pub fn sum(&self) -> T

return the sum of the tensor