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# tensorflow:: ops:: ConjugateTranspose

``` #include <array_ops.h> ```

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

## Summary

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]]) ```

Args:

Returns:

• ``` Output ``` : The y tensor.

### Constructors and Destructors

``` ConjugateTranspose (const :: tensorflow::Scope & scope, :: tensorflow::Input x, :: tensorflow::Input perm) ```

### Public attributes

``` operation ```
``` Operation ```
``` y ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

## Public attributes

### operation

`Operation operation`

### y

`::tensorflow::Output y`

## Public functions

### ConjugateTranspose

``` ConjugateTranspose(
const ::tensorflow::Scope & scope,
::tensorflow::Input x,
::tensorflow::Input perm
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

` operator::tensorflow::Input() const `

### operator::tensorflow::Output

` operator::tensorflow::Output() const `
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