mindspore.scipy

Warning

These are experimental APIs that are subject to change or deletion. Only support Linux.

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.	GPU CPU
mindspore.scipy.linalg.cho_factor	Compute the cholesky decomposition of a matrix, to use in mindspore.scipy.linalg.cho_solve().	GPU CPU
mindspore.scipy.linalg.cho_solve	Given the cholesky factorization of \(A\), solve the linear equation.	GPU CPU
mindspore.scipy.linalg.cholesky	Compute the cholesky decomposition of a matrix.	GPU CPU
mindspore.scipy.linalg.eigh	Solve a standard or generalized eigenvalue problem for a complex Hermitian or real symmetric matrix.	GPU CPU
mindspore.scipy.linalg.inv	Compute the inverse of a matrix.	GPU CPU
mindspore.scipy.linalg.lu	Compute pivoted LU decomposition of a general matrix.	GPU CPU
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.	GPU CPU
mindspore.scipy.linalg.solve_triangular	Solve the linear system \(a x = b\) for x, Assuming a is a triangular matrix.	Ascend CPU

mindspore.scipy.optimize

Optimize submodule

API Name	Description	Supported Platforms
mindspore.scipy.optimize.line_search	Inexact line search that satisfies strong Wolfe conditions.	GPU CPU
mindspore.scipy.optimize.linear_sum_assignment	Solve the linear sum assignment problem.	Ascend CPU
mindspore.scipy.optimize.minimize	Minimization of scalar function of one or more variables.	GPU CPU