tf.raw_ops.SelfAdjointEig
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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.
|
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Last updated 2021-08-16 UTC.
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