tf.linalg.eigh
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Computes the eigen decomposition of a batch of self-adjoint matrices.
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tf.compat.v1.linalg.eigh, tf.compat.v1.self_adjoint_eig
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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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
View source on GitHub