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]])
Arguments:
- scope: A Scope object
Returns:
-
Output
: The y tensor.
Constructors and Destructors | |
---|---|
ConjugateTranspose(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input perm) |
Public attributes | |
---|---|
operation | |
y |
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
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/conjugate-transpose