tf.raw_ops.SelfAdjointEig
Computes the Eigen Decomposition of a batch of square self-adjoint matrices.
tf.raw_ops.SelfAdjointEig(
input, name=None
)
The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices, with the same constraints as the single matrix SelfAdjointEig.
The result is a [..., M+1, M] matrix with [..., 0,:] containing the eigenvalues, and subsequent [...,1:, :] containing the eigenvectors. The eigenvalues are sorted in non-decreasing order.
| Args | |
|---|---|
input |
A Tensor. Must be one of the following types: float64, float32, half. Shape is [..., M, M]. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as input. |
© 2020 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/versions/r2.3/api_docs/python/tf/raw_ops/SelfAdjointEig