# tf.raw_ops.ConjugateTranspose

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Shuffle dimensions of x according to a permutation and conjugate the result.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ConjugateTranspose(
        x, perm, name=None
    )

The output `y` has the same rank as `x`. The shapes of `x` and `y` satisfy:
`y.shape[i] == x.shape[perm[i]] for i in [0, 1, ..., rank(x) - 1]`
`y[i,j,k,...,s,t,u] == conj(x[perm[i], perm[j], perm[k],...,perm[s], perm[t], perm[u]])`

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| ## Args ||
|---|---|
| `x` | A `Tensor`. |
| `perm` | A `Tensor`. Must be one of the following types: `int32`, `int64`. |
| `name` | A name for the operation (optional). |

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

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