torch.linalg.norm — PyTorch 1.10.1 documentation
pytorch.org › docs › stabletorch.linalg.norm. Computes a vector or matrix norm. If A is complex valued, it computes the norm of A.abs () Supports input of float, double, cfloat and cdouble dtypes. Whether this function computes a vector or matrix norm is determined as follows: If dim is an int, the vector norm will be computed. If dim is a 2 - tuple, the matrix norm will ...
torch.linalg.svd — PyTorch 1.10.1 documentation
pytorch.org › docs › stabletorch.linalg.svdvals() computes only the singular values. Unlike torch.linalg.svd(), the gradients of svdvals() are always numerically stable. torch.linalg.eig() for a function that computes another type of spectral decomposition of a matrix. The eigendecomposition works just on square matrices.
Pytorch torch.linalg example | Newbedev
https://newbedev.com/pytorch/linalgFunctions. torch.linalg.cholesky (input, *, out=None) → Tensor. Computes the Cholesky decomposition of a Hermitian (or symmetric for real-valued matrices) positive-definite matrix or the Cholesky decompositions for a batch of such matrices. Each decomposition has the form: input = L L H. \text {input} = LL^H. where.