Module tensordynlen 

Dynamic-length tensor implementation.

Structs

TensorDynLen

Tensor with dynamic rank (number of indices) and dynamic scalar type.

Traits

RandomScalar

Trait for scalar types that can generate random values from a standard normal distribution.

TensorAccess

Trait for accessing tensor index metadata.

Functions

compute_permutation_from_indices

Compute the permutation array from original indices to new indices.

diag_tensor_dyn_len

Create a diagonal tensor with dynamic rank from diagonal data.

unfold_split

Unfold a tensor into a matrix by splitting indices into left and right groups.