/TensorFlow 2.4


Computes the Eigen Decomposition of a batch of square self-adjoint matrices.

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.

input A Tensor. Must be one of the following types: float64, float32, half. Shape is [..., M, M].
name A name for the operation (optional).
A Tensor. Has the same type as input.

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Code samples licensed under the Apache 2.0 License.