# tf.raw_ops.SelfAdjointEig

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.SelfAdjointEig`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SelfAdjointEig)

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    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.

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| ## 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). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `input`. ||

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