Function svd 

pub fn svd<T: Scalar>(
    _tensor: &Tensor<T>,
    _options: Option<&SvdOptions>,
) -> Result<SvdResult<T>>

Compute the SVD of a batched matrix.

Input shape: (m, n, *). Must be column-major contiguous.

Arguments

• tensor — Input tensor of shape (m, n, *)
• options — Optional truncation parameters

Examples

use tenferro_linalg::{svd, SvdOptions};
use tenferro_tensor::{Tensor, MemoryOrder};
use tenferro_device::LogicalMemorySpace;

let col = MemoryOrder::ColumnMajor;
let a = Tensor::<f64>::zeros(&[3, 4],
    LogicalMemorySpace::MainMemory, col);

// Full SVD
let result = svd(&a, None).unwrap();

// Truncated SVD
let opts = SvdOptions { max_rank: Some(2), cutoff: None };
let result = svd(&a, Some(&opts)).unwrap();

Errors

Returns an error if the input has fewer than 2 dimensions.