SvdLowrank

Computes a low-rank approximation of the singular value decomposition.

Abstract Signature:

SvdLowrank(A: Tensor, q: int = 6, niter: int = 2, M: Tensor)

PyTorchJAX (Core)NumPyKerasTensorFlowApple MLX

PyTorch

API: torch.svd_lowrank

Strategy: Direct Mapping

Official Docs ↗

JAX (Core)

API: —

Strategy: Custom / Partial

NumPy

API: —

Strategy: Custom / Partial

Keras

API: —

Strategy: Custom / Partial

TensorFlow

API: —

Strategy: Custom / Partial

Apple MLX

API: —

Strategy: Custom / Partial