mindspore.ops.Orgqr

class mindspore.ops.Orgqr

Calculates the explicit representation of the orthogonal matrix $Q$ returned by mindspore.ops.Geqrf.

Warning

This is an experimental API that is subject to change or deletion.

Refer to mindspore.ops.orgqr() for more details.

Inputs:

• x (Tensor) - Tensor of shape $(\ast ,M,N)$, indicating 2D or 3D matrices, with float32, float64, complex64 and complex128 data type.

• tau (Tensor) - Indicates the reflecting coefficient in Householder transformation, it has shape $(\ast ,K)$, where K is less than or equal to N, and it has the same type as x.

Outputs:

Tensor, has the same shape and data type as x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x = Tensor(np.array([[-114.6, 10.9, 1.1], [-0.304, 38.07, 69.38], [-0.45, -0.17, 62.]]), mindspore.float32)
>>> tau = Tensor(np.array([1.55, 1.94, 0.0]), mindspore.float32)
>>> net = ops.Orgqr()
>>> y = net(x, tau)
>>> print(y)
[[-0.54999995 -0.2128925   0.8137956 ]
 [ 0.47119996 -0.8752807   0.08240613]
 [ 0.69749993  0.42560163  0.57772595]]