tf.linalg.eigh
Computes the eigen decomposition of a batch of self-adjoint matrices.
tf.linalg.eigh(
tensor, name=None
)
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]. Sorted in non-decreasing order. |
v |
Eigenvectors. Shape is [..., N, N]. The columns of the inner most matrices contain eigenvectors of the corresponding matrices in tensor |
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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/linalg/eigh