mindspore.scipy.linalg.inv
- mindspore.scipy.linalg.inv(a, overwrite_a=False, check_finite=True)[source]
Compute the inverse of a matrix.
- Parameters
a (Tensor) – Square matrix to be inverted. Note that if the input tensor is not a float, then it will be casted to
mstype.float32
.overwrite_a (bool, optional) – Discard data in a (may improve performance). Default: False.
check_finite (bool, optional) – Whether to check that the input matrix contains only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs. Default: True.
- Returns
Tensor, inverse of the matrix a.
- Raises
LinAlgError – If \(a\) is singular.
ValueError – If \(a\) is not square, or not 2D.
- Supported Platforms:
CPU
GPU
Examples
>>> import numpy as onp >>> from mindspore.common import Tensor >>> import mindspore.numpy as mnp >>> from mindspore.scipy.linalg import inv >>> a = Tensor(onp.array([[1., 2.], [3., 4.]])) >>> inv(a) Tensor(shape=[2, 2], dtype=Float64, value= [[-2.00000000e+00, 1.00000000e+00], [ 1.50000000e+00, -5.00000000e-01]]) >>> mnp.dot(a, inv(a)) Tensor(shape=[2, 2], dtype=Float64, value= [[ 1.00000000e+00, 0.00000000e+00], [ 8.88178420e-16, 1.00000000e+00]])