Trait TypedTensorReadEinsumExt 

pub trait TypedTensorReadEinsumExt<T: TensorScalar> {
    // Required methods
    fn einsum_read<B: TensorBackend>(
        &self,
        subscripts: &str,
        backend: &mut B,
    ) -> Result<TypedTensor<T>>;
    fn einsum_read_subscripts<B: TensorBackend>(
        &self,
        subscripts: &EinsumSubscripts,
        backend: &mut B,
    ) -> Result<TypedTensor<T>>;
}

Backend-explicit einsum methods for typed borrowed views.

The _read suffix distinguishes this borrowed-view surface from TypedTensorEinsumExt, whose unsuffixed methods accept only owned compact typed tensors.

Examples

use tenferro_cpu::CpuBackend;
use tenferro_einsum::TypedTensorReadEinsumExt;
use tenferro_tensor::TypedTensor;

let lhs = TypedTensor::<f64>::from_vec_col_major(vec![2], vec![1.0, 2.0])?;
let rhs = TypedTensor::<f64>::from_vec_col_major(vec![2], vec![3.0, 4.0])?;
let mut backend = CpuBackend::new();
let result = [lhs.as_view(), rhs.as_view()].einsum_read("i,i->", &mut backend)?;
assert_eq!(result.as_slice()?, &[11.0]);

Required Methods

fn einsum_read<B: TensorBackend>( &self, subscripts: &str, backend: &mut B, ) -> Result<TypedTensor<T>>

Execute an einsum from string notation over typed borrowed views.

Examples

use tenferro_cpu::CpuBackend;
use tenferro_einsum::TypedTensorReadEinsumExt;
use tenferro_tensor::TypedTensor;

let input = TypedTensor::<f64>::from_vec_col_major(vec![2], vec![2.0, 3.0])?;
let mut backend = CpuBackend::new();
let result = [input.as_view()].einsum_read("i->i", &mut backend)?;
assert_eq!(result.as_slice()?, &[2.0, 3.0]);

Errors

Returns Error::InvalidSubscripts for malformed notation, Error::Validation with shape or rank payloads for incompatible views, or Error::Tensor for a typed backend failure.

fn einsum_read_subscripts<B: TensorBackend>( &self, subscripts: &EinsumSubscripts, backend: &mut B, ) -> Result<TypedTensor<T>>

Execute an einsum from parsed integer-label subscripts over typed borrowed views.

Examples

use tenferro_cpu::CpuBackend;
use tenferro_einsum::{EinsumSubscripts, TypedTensorReadEinsumExt};
use tenferro_tensor::TypedTensor;

let input = TypedTensor::<f64>::from_vec_col_major(vec![2], vec![2.0, 3.0])?;
let subscripts = EinsumSubscripts::new(&[&[0]], &[0]);
let mut backend = CpuBackend::new();
let result = [input.as_view()].einsum_read_subscripts(&subscripts, &mut backend)?;
assert_eq!(result.as_slice()?, &[2.0, 3.0]);

Errors

Returns Error::Validation with shape or rank payloads for incompatible views, or Error::Tensor for a typed backend failure.

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<'a, T: TensorScalar> TypedTensorReadEinsumExt<T> for [TypedTensorView<'a, T>]

fn einsum_read<B: TensorBackend>( &self, subscripts: &str, backend: &mut B, ) -> Result<TypedTensor<T>>

fn einsum_read_subscripts<B: TensorBackend>( &self, subscripts: &EinsumSubscripts, backend: &mut B, ) -> Result<TypedTensor<T>>

impl<'a, T: TensorScalar, const N: usize> TypedTensorReadEinsumExt<T> for [TypedTensorView<'a, T>; N]

fn einsum_read<B: TensorBackend>( &self, subscripts: &str, backend: &mut B, ) -> Result<TypedTensor<T>>

fn einsum_read_subscripts<B: TensorBackend>( &self, subscripts: &EinsumSubscripts, backend: &mut B, ) -> Result<TypedTensor<T>>

Implementors