tf.self_adjoint_eig
tf.self_adjoint_eig
tf.self_adjoint_eig
self_adjoint_eig( tensor, name=None )
Defined in tensorflow/python/ops/linalg_ops.py
.
See the guide: Math > Matrix Math Functions
Computes the eigen decomposition of a batch of self-adjoint matrices.
Computes the eigenvalues and eigenvectors of the innermost N-by-N matrices in tensor
such that tensor[...,:,:] * v[..., :,i] = e[..., i] * v[...,:,i]
, for i=0...N-1.
Args:
-
tensor
:Tensor
of shape[..., N, N]
. Only the lower triangular part of each inner inner matrix is referenced. -
name
: string, optional name of the operation.
Returns:
-
e
: Eigenvalues. Shape is[..., N]
. -
v
: Eigenvectors. Shape is[..., N, N]
. The columns of the inner most matrices contain eigenvectors of the corresponding matrices intensor
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/self_adjoint_eig