jax.lax.linalg.svd

jax.lax.linalg.svd(x: ArrayLike, *, full_matrices: bool = True, compute_uv: Literal[True], subset_by_index: tuple[int, int] | None = None, algorithm: SvdAlgorithm | None = None) → tuple[Array, Array, Array]

jax.lax.linalg.svd(x: ArrayLike, *, full_matrices: bool = True, compute_uv: Literal[False], subset_by_index: tuple[int, int] | None = None, algorithm: SvdAlgorithm | None = None) → Array

jax.lax.linalg.svd(x: ArrayLike, *, full_matrices: bool = True, compute_uv: bool = True, subset_by_index: tuple[int, int] | None = None, algorithm: SvdAlgorithm | None = None) → Array | tuple[Array, Array, Array]

Singular value decomposition.

Returns the singular values if compute_uv is False, otherwise returns a triple containing the left singular vectors, the singular values and the adjoint of the right singular vectors.