mindspore.scipy

Scipy-like interfaces in mindspore.

mindspore.scipy.linalg

Linear algebra submodule

API Name

Description

Supported Platforms

mindspore.scipy.linalg.block_diag

Create a block diagonal matrix from provided arrays.

CPU GPU

mindspore.scipy.linalg.cho_factor

Compute the cholesky decomposition of a matrix, to use in cho_solve.

CPU GPU

mindspore.scipy.linalg.cholesky

Compute the cholesky decomposition of a matrix.

CPU GPU

mindspore.scipy.linalg.cho_solve

Given the cholesky factorization of a, solve the linear equation

CPU GPU

mindspore.scipy.linalg.eigh

Solve a standard or generalized eigenvalue problem for a complex Hermitian or real symmetric matrix.

CPU GPU

mindspore.scipy.linalg.inv

Compute the inverse of a matrix.

CPU GPU

mindspore.scipy.linalg.lu

Compute pivoted LU decomposition of a general matrix.

CPU GPU

mindspore.scipy.linalg.lu_factor

Compute pivoted LU decomposition of a square matrix, and its outputs can be directly used as the inputs of lu_solve.

CPU GPU

mindspore.scipy.linalg.solve_triangular

Assuming a is a batched triangular matrix, solve the equation

CPU GPU

mindspore.scipy.optimize

Optimize submodule

API Name

Description

Supported Platforms

mindspore.scipy.optimize.line_search

Inexact line search that satisfies strong Wolfe conditions.

CPU GPU

mindspore.scipy.optimize.minimize

Minimization of scalar function of one or more variables.

CPU GPU

mindspore.scipy.sparse.linalg

Sparse linear algebra submodule

API Name

Description

Supported Platforms

mindspore.scipy.sparse.linalg.cg

Use Conjugate Gradient iteration to solve the linear system:

CPU GPU

mindspore.scipy.sparse.linalg.gmres

Given given A and b, GMRES solves the linear system:

CPU GPU