Aliases:
tf.linalg.qr
tf.qr
tf.linalg.qr(
input,
full_matrices=False,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_linalg_ops.py
.
Computes the QR decompositions of one or more matrices.
Computes the QR decomposition of each inner matrix in tensor
such that
tensor[..., :, :] = q[..., :, :] * r[..., :,:])
# a is a tensor.
# q is a tensor of orthonormal matrices.
# r is a tensor of upper triangular matrices.
q, r = qr(a)
q_full, r_full = qr(a, full_matrices=True)
Args:
input
: ATensor
. Must be one of the following types:float64
,float32
,complex64
,complex128
. A tensor of shape[..., M, N]
whose inner-most 2 dimensions form matrices of size[M, N]
. LetP
be the minimum ofM
andN
.full_matrices
: An optionalbool
. Defaults toFalse
. If true, compute full-sizedq
andr
. If false (the default), compute only the leadingP
columns ofq
.name
: A name for the operation (optional).
Returns:
A tuple of Tensor
objects (q, r).
q
: ATensor
. Has the same type asinput
.r
: ATensor
. Has the same type asinput
.