tf.linalg.adjoint
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Transposes the last two dimensions of and conjugates tensor matrix.
tf.linalg.adjoint(
matrix, name=None
)
For example:
x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j],
[4 + 4j, 5 + 5j, 6 + 6j]])
tf.linalg.adjoint(x) # [[1 - 1j, 4 - 4j],
# [2 - 2j, 5 - 5j],
# [3 - 3j, 6 - 6j]]
Args |
|---|
matrix
|
A Tensor. Must be float16, float32, float64, complex64,
or complex128 with shape [..., M, M].
|
name
|
A name to give this Op (optional).
|
Returns |
|---|
|
The adjoint (a.k.a. Hermitian transpose a.k.a. conjugate transpose) of
matrix.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.linalg.adjoint\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/linalg/linalg_impl.py#L102-L128) |\n\nTransposes the last two dimensions of and conjugates tensor `matrix`.\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.linalg.adjoint`](https://www.tensorflow.org/api_docs/python/tf/linalg/adjoint)\n\n\u003cbr /\u003e\n\n tf.linalg.adjoint(\n matrix, name=None\n )\n\n#### For example:\n\n x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j],\n [4 + 4j, 5 + 5j, 6 + 6j]])\n tf.linalg.adjoint(x) # [[1 - 1j, 4 - 4j],\n # [2 - 2j, 5 - 5j],\n # [3 - 3j, 6 - 6j]]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|-------------------------------------------------------------------------------------------------------------|\n| `matrix` | A `Tensor`. Must be `float16`, `float32`, `float64`, `complex64`, or `complex128` with shape `[..., M, M]`. |\n| `name` | A name to give this `Op` (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The adjoint (a.k.a. Hermitian transpose a.k.a. conjugate transpose) of matrix. ||\n\n\u003cbr /\u003e"]]
View source on GitHub