Trait TensorElement 

pub trait TensorElement:
    TensorScalar
    + Copy
    + Send
    + Sync
    + 'static {
    // Required methods
    fn dense_native_tensor_from_col_major(
        data: &[Self],
        dims: &[usize],
    ) -> Result<Tensor, Error>;
    fn diag_native_tensor_from_col_major(
        data: &[Self],
        logical_rank: usize,
    ) -> Result<Tensor, Error>;
    fn scalar_native_tensor(value: Self) -> Result<Tensor, Error>;
    fn dense_values_from_native_col_major(
        tensor: &Tensor,
    ) -> Result<Vec<Self>, Error>;
    fn diag_values_from_native_temp(tensor: &Tensor) -> Result<Vec<Self>, Error>;
}

Public scalar element types supported by tensor4all dense/diag constructors.

Implemented for f32, f64, Complex32, and Complex64.

Examples

use tensor4all_tensorbackend::TensorElement;

let t = f64::dense_native_tensor_from_col_major(&[1.0, 2.0], &[2]).unwrap();
assert_eq!(t.shape(), &[2]);

let vals = f64::dense_values_from_native_col_major(&t).unwrap();
assert_eq!(vals, vec![1.0, 2.0]);

Required Methods

fn dense_native_tensor_from_col_major( data: &[Self], dims: &[usize], ) -> Result<Tensor, Error>

Build a dense native tensor from column-major data.

fn diag_native_tensor_from_col_major( data: &[Self], logical_rank: usize, ) -> Result<Tensor, Error>

Build a diagonal native tensor from column-major diagonal payload data.

fn scalar_native_tensor(value: Self) -> Result<Tensor, Error>

Build a rank-0 native tensor.

fn dense_values_from_native_col_major( tensor: &Tensor, ) -> Result<Vec<Self>, Error>

Materialize dense column-major values from a native tensor.

fn diag_values_from_native_temp(tensor: &Tensor) -> Result<Vec<Self>, Error>

Materialize diagonal values from a dense native tensor.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl TensorElement for f32

fn dense_native_tensor_from_col_major( data: &[f32], dims: &[usize], ) -> Result<Tensor, Error>

fn diag_native_tensor_from_col_major( data: &[f32], logical_rank: usize, ) -> Result<Tensor, Error>

fn scalar_native_tensor(value: f32) -> Result<Tensor, Error>

fn dense_values_from_native_col_major( tensor: &Tensor, ) -> Result<Vec<f32>, Error>

fn diag_values_from_native_temp(tensor: &Tensor) -> Result<Vec<f32>, Error>

impl TensorElement for f64

fn dense_native_tensor_from_col_major( data: &[f64], dims: &[usize], ) -> Result<Tensor, Error>

fn diag_native_tensor_from_col_major( data: &[f64], logical_rank: usize, ) -> Result<Tensor, Error>

fn scalar_native_tensor(value: f64) -> Result<Tensor, Error>

fn dense_values_from_native_col_major( tensor: &Tensor, ) -> Result<Vec<f64>, Error>

fn diag_values_from_native_temp(tensor: &Tensor) -> Result<Vec<f64>, Error>

impl TensorElement for Complex<f32>

fn dense_native_tensor_from_col_major( data: &[Complex<f32>], dims: &[usize], ) -> Result<Tensor, Error>

fn diag_native_tensor_from_col_major( data: &[Complex<f32>], logical_rank: usize, ) -> Result<Tensor, Error>

fn scalar_native_tensor(value: Complex<f32>) -> Result<Tensor, Error>

fn dense_values_from_native_col_major( tensor: &Tensor, ) -> Result<Vec<Complex<f32>>, Error>

fn diag_values_from_native_temp( tensor: &Tensor, ) -> Result<Vec<Complex<f32>>, Error>

impl TensorElement for Complex<f64>

fn dense_native_tensor_from_col_major( data: &[Complex<f64>], dims: &[usize], ) -> Result<Tensor, Error>

fn diag_native_tensor_from_col_major( data: &[Complex<f64>], logical_rank: usize, ) -> Result<Tensor, Error>

fn scalar_native_tensor(value: Complex<f64>) -> Result<Tensor, Error>

fn dense_values_from_native_col_major( tensor: &Tensor, ) -> Result<Vec<Complex<f64>>, Error>

fn diag_values_from_native_temp( tensor: &Tensor, ) -> Result<Vec<Complex<f64>>, Error>

Implementors