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 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.SelfAdjointEig\n\n\u003cbr /\u003e\n\nComputes the Eigen Decomposition of a batch of square self-adjoint matrices.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.SelfAdjointEig`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SelfAdjointEig)\n\n\u003cbr /\u003e\n\n tf.raw_ops.SelfAdjointEig(\n input, name=None\n )\n\nThe input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions\nform square matrices, with the same constraints as the single matrix\nSelfAdjointEig.\n\nThe result is a \\[..., M+1, M\\] matrix with \\[..., 0,:\\] containing the\neigenvalues, and subsequent \\[...,1:, :\\] containing the eigenvectors. The eigenvalues\nare sorted in non-decreasing order.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|-------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. Must be one of the following types: `float64`, `float32`, `half`. Shape is `[..., M, M]`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]
